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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JPHIA</journal-id>
<journal-title-group>
<journal-title>Journal of Public Health in Africa</journal-title>
</journal-title-group>
<issn pub-type="ppub">2038-9922</issn>
<issn pub-type="epub">2038-9930</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JPHIA-16-1454</article-id>
<article-id pub-id-type="doi">10.4102/jphia.v16i1.1454</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Hypoxia predicts COVID-19 mortality: Evidence to inform low-resource care</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4281-6345</contrib-id>
<name>
<surname>Waruru</surname>
<given-names>Anthony</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3794-4999</contrib-id>
<name>
<surname>Wambua</surname>
<given-names>Jonesmus M.</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0008-6956-0168</contrib-id>
<name>
<surname>Otieno</surname>
<given-names>Frank V.</given-names>
</name>
<xref ref-type="aff" rid="AF0003">3</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4675-3943</contrib-id>
<name>
<surname>Mwangome</surname>
<given-names>Mary</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1950-8616</contrib-id>
<name>
<surname>Munyua</surname>
<given-names>Peninah</given-names>
</name>
<xref ref-type="aff" rid="AF0004">4</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8355-8004</contrib-id>
<name>
<surname>Waruiru</surname>
<given-names>Wanjiru</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6334-3156</contrib-id>
<name>
<surname>Jonnalagadda</surname>
<given-names>Sasi</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4306-2223</contrib-id>
<name>
<surname>Ngunu</surname>
<given-names>Carol</given-names>
</name>
<xref ref-type="aff" rid="AF0005">5</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0008-8963-1058</contrib-id>
<name>
<surname>Muange</surname>
<given-names>Annastacia K.</given-names>
</name>
<xref ref-type="aff" rid="AF0006">6</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0005-3471-8453</contrib-id>
<name>
<surname>Otieno</surname>
<given-names>James</given-names>
</name>
<xref ref-type="aff" rid="AF0007">7</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1634-0531</contrib-id>
<name>
<surname>Onyango</surname>
<given-names>Dickens</given-names>
</name>
<xref ref-type="aff" rid="AF0007">7</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2292-4338</contrib-id>
<name>
<surname>Muturi</surname>
<given-names>Nelly</given-names>
</name>
<xref ref-type="aff" rid="AF0008">8</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8158-2847</contrib-id>
<name>
<surname>Njoroge</surname>
<given-names>Anne</given-names>
</name>
<xref ref-type="aff" rid="AF0009">9</xref>
</contrib>
<aff id="AF0001"><label>1</label>Division of Global HIV and TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya</aff>
<aff id="AF0002"><label>2</label>Global Programs for Research and Training, University of California, Nairobi, Kenya</aff>
<aff id="AF0003"><label>3</label>Department of Health Records, Mbagathi County Referral Hospital, Nairobi, Kenya</aff>
<aff id="AF0004"><label>4</label>Division of Global Health Protection, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya</aff>
<aff id="AF0005"><label>5</label>Nairobi County Department of Health, Nairobi, Kenya</aff>
<aff id="AF0006"><label>6</label>Division of Disease Surveillance and Response (DDSR), Ministry of Health, Nairobi, Kenya</aff>
<aff id="AF0007"><label>7</label>Kisumu County Department of Health, Kisumu, Kenya</aff>
<aff id="AF0008"><label>8</label>AIRBEL Impact Lab, International Rescue Committee (IRC), Nairobi, Kenya</aff>
<aff id="AF0009"><label>9</label>International Training and Education Center for Health (I-TECH), University of Washington, Nairobi, Kenya</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Anthony Waruru, <email xlink:href="warurua@unaids.org">warurua@unaids.org</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>02</day><month>12</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>16</volume>
<issue>1</issue>
<elocation-id>1454</elocation-id>
<history>
<date date-type="received"><day>26</day><month>05</month><year>2025</year></date>
<date date-type="accepted"><day>05</day><month>09</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025. The Authors</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>Hypoxia is a critical yet under-recognised driver of poor outcomes in coronavirus disease 2019 (COVID-19). Early detection with cheap pulse oximetry is feasible in resource-limited settings.</p>
</sec>
<sec id="st2">
<title>Aim</title>
<p>This study estimated the prevalence of hypoxia at admission and its role in predicting mortality in three facilities in diverse resource settings in Kenya.</p>
</sec>
<sec id="st3">
<title>Setting</title>
<p>The study was conducted in three Kenyan hospitals.</p>
</sec>
<sec id="st4">
<title>Methods</title>
<p>We retrospectively analysed 1124 COVID-19 patient hospitalisation records (October 2020 &#x2013; December 2021). Hypoxia was defined as the saturation of peripheral oxygen (SpO<sub>2</sub>) &#x2264; 94&#x0025; at admission. Differences in categorical variables were assessed using the &#x03C7;<sup>2</sup> test. We used a multivariable Cox proportional hazards model to identify mortality predictors and Kaplan&#x2013;Meier methods to estimate survival probabilities, with or without oxygen supplementation.</p>
</sec>
<sec id="st5">
<title>Results</title>
<p>Hypoxia was present in 81.4&#x0025; of patients; 39.9&#x0025; had no dyspnoea. Hypoxic patients compared to non-hypoxic patients were older (&#x2265; 60 years: 44.6&#x0025; vs. 24.4&#x0025;) and had higher rates of dyspnoea (60.1&#x0025; vs. 36.9&#x0025;), hypertension (40.4&#x0025; vs. 25.8&#x0025;), and tachycardia (38.2&#x0025; vs. 24.6&#x0025;) (all <italic>p</italic> &#x003C; 0.001). Only 68.6&#x0025; of hypoxic patients received oxygen. Mortality was higher among hypoxic (38.0&#x0025;) vs. non-hypoxic patients (13.6&#x0025;, <italic>p</italic> &#x003C; 0.001). Hypoxia independently predicted mortality (adjusted hazard ratio [aHR]: 1.9; 95&#x0025; confidence interval [CI]: 1.2&#x2013;2.8), particularly in older adults (aHR: 1.8) and those with dyspnoea (aHR: 1.5). Survival probabilities were worse for hypoxic patients regardless of dyspnoea or oxygen supplementation (<italic>p</italic> &#x003C; 0.001).</p>
</sec>
<sec id="st6">
<title>Conclusion</title>
<p>Hypoxia was prevalent and significantly increased the mortality risk among hospitalised COVID-19 patients.</p>
</sec>
<sec id="st7">
<title>Contribution</title>
<p>Routine SpO<sub>2</sub> monitoring and targeted hypoxia management are critical in low-resource settings, particularly for vulnerable patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hypoxia</kwd>
<kwd>silent hypoxia</kwd>
<kwd>COVID-19-associated mortality</kwd>
<kwd>survival probabilities</kwd>
<kwd>Kenya</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding information</bold> This publication was made possible by support from the <italic>American Rescue Plan Act of 2021</italic> and the US President&#x2019;s Emergency Plan for AIDS Relief (PEPFAR) through cooperative agreements (GH002338, GH002266, &#x0026; GH002339) from the US Centers for Disease Control and Prevention (CDC), Division of Global HIV &#x0026;TB (DGHT).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>The coronavirus disease 2019 (COVID-19) pandemic exposed critical weaknesses in healthcare systems worldwide, particularly in low-resource settings, where limited access to diagnostic and therapeutic tools posed significant challenges to effective patient management, resulting in widespread infections and mortality. By the end of December 2021, more than 282 million confirmed COVID-19 cases and over 5.4 million deaths had been officially reported globally.<sup><xref ref-type="bibr" rid="CIT0001">1</xref></sup> However, these numbers likely represent a substantial undercount since reporting systems were not optimal. Estimates of the global excess mortality suggest that the true death toll may have exceeded 14 million in the first 2 years of the pandemic, reflecting limitations in testing, reporting and vital registration systems, particularly in low- and middle-income countries.<sup><xref ref-type="bibr" rid="CIT0002">2</xref></sup> In Kenya, approximately 295 000 confirmed cases and 5378 deaths were reported by December 2021.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup> However, national seroprevalence surveys and modelling studies suggest that actual infections and deaths were significantly higher than reported, because of limited testing capacity, healthcare access barriers and underreporting of community deaths.<sup><xref ref-type="bibr" rid="CIT0002">2</xref>,<xref ref-type="bibr" rid="CIT0004">4</xref>,<xref ref-type="bibr" rid="CIT0005">5</xref>,<xref ref-type="bibr" rid="CIT0006">6</xref></sup> These figures underscore the urgent need for more effective triage and case management strategies in resource-constrained healthcare systems to reduce preventable mortality during such health crises.</p>
<p>Coronavirus disease 2019 mortality is driven by age, male sex, comorbidities (e.g., cardiovascular disease, diabetes) and markers of severe illness such as inflammation, respiratory failure and hypoxia. Among these, hypoxia &#x2013; particularly &#x2018;silent hypoxia&#x2019;, where patients present with low saturation of peripheral oxygen (SpO<sub>2</sub>) without subjective symptoms like shortness of breath &#x2013; has emerged as a powerful yet under-recognised predictor of mortality. Hypoxia, often overlooked during routine clinical evaluations, has been strongly linked to delayed intervention and increased mortality.<sup><xref ref-type="bibr" rid="CIT0007">7</xref>,<xref ref-type="bibr" rid="CIT0008">8</xref>,<xref ref-type="bibr" rid="CIT0009">9</xref></sup> Prior studies have shown that patients with &#x2018;silent hypoxia&#x2019; exhibit alarmingly low SpO<sub>2</sub> levels despite appearing clinically stable, leading to missed opportunities for timely intervention.<sup><xref ref-type="bibr" rid="CIT0010">10</xref>,<xref ref-type="bibr" rid="CIT0011">11</xref></sup> For instance, while some studies have found no significant difference in outcome between silent and dyspnoeic hypoxia,<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> others have reported higher risks of intensive care unit (ICU) admission or mechanical ventilation associated with silent hypoxia,<sup><xref ref-type="bibr" rid="CIT0013">13</xref></sup> underscoring how the deceptive presentation of silent hypoxia complicates triage &#x2013; especially in overwhelmed or low-resource settings. Hypoxia is a hallmark of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, reflecting impaired gas exchange in the lungs and is associated with inflammatory responses, including the cytokine storm observed in critical cases.<sup><xref ref-type="bibr" rid="CIT0014">14</xref>,<xref ref-type="bibr" rid="CIT0015">15</xref></sup> Multiple studies have confirmed that hypoxia correlates with COVID-19 severity, reinforcing its role as a key predictor of poor outcomes.<sup><xref ref-type="bibr" rid="CIT0016">16</xref>,<xref ref-type="bibr" rid="CIT0017">17</xref></sup></p>
<p>Non-invasive pulse oximetry has emerged as an essential and cost-effective tool for early identification of hypoxia. By measuring SpO<sub>2</sub>, it provides vital information for guiding clinical decisions, such as hospitalisation and oxygen therapy.<sup><xref ref-type="bibr" rid="CIT0018">18</xref></sup> Normal SpO<sub>2</sub> levels range from 95&#x0025; to 100&#x0025;, while values &#x2264; 94&#x0025; are considered hypoxic according to clinical guidelines, including those used in Kenya.<sup><xref ref-type="bibr" rid="CIT0019">19</xref>,<xref ref-type="bibr" rid="CIT0020">20</xref></sup> The World Health Organization (WHO) recommended the use of routine pulse oximetry in COVID-19 case management because of its simplicity, speed, low cost and non-invasiveness.<sup><xref ref-type="bibr" rid="CIT0021">21</xref>,<xref ref-type="bibr" rid="CIT0022">22</xref></sup> Saturation of peripheral oxygen alone or in combination with the fraction of inspired oxygen (SpO<sub>2</sub>/FiO<sub>2</sub>) has proven valuable and economical for monitoring respiratory function over time in patients with COVID-19.<sup><xref ref-type="bibr" rid="CIT0023">23</xref></sup> However, in resource-constrained settings, the underutilisation of pulse oximetry &#x2013; combined with limited oxygen supplies and staffing shortages &#x2013; exacerbated challenges in recognising and managing hypoxia.<sup><xref ref-type="bibr" rid="CIT0024">24</xref>,<xref ref-type="bibr" rid="CIT0025">25</xref></sup> Moreover, traditional diagnostic tools, such as chest X-rays, often failed to correlate with hypoxia, further complicating management.<sup><xref ref-type="bibr" rid="CIT0026">26</xref></sup> Patients with pre-existing chronic conditions &#x2013; such as chronic obstructive pulmonary disease, cardiovascular disease or obesity &#x2013; were particularly vulnerable to poor outcomes, highlighting the need for prompt SpO<sub>2</sub> monitoring.<sup><xref ref-type="bibr" rid="CIT0027">27</xref>,<xref ref-type="bibr" rid="CIT0028">28</xref>,<xref ref-type="bibr" rid="CIT0029">29</xref>,<xref ref-type="bibr" rid="CIT0030">30</xref>,<xref ref-type="bibr" rid="CIT0031">31</xref>,<xref ref-type="bibr" rid="CIT0032">32</xref></sup> These findings are consistent with a recent multicentre study that evaluated predictors and frequency of silent hypoxia in COVID-19 patients. The authors reported a silent hypoxia prevalence of approximately 30&#x0025;, with silent hypoxia independently associated with increased ICU admissions and mechanical ventilation.<sup><xref ref-type="bibr" rid="CIT0013">13</xref></sup> Notably, this form of hypoxia often remained undetected without the aid of pulse oximetry, reinforcing the need for systematic SpO<sub>2</sub> monitoring at admission, particularly in resource-limited settings where clinical signs alone may not reveal hypoxia.</p>
<p>We hypothesised that hypoxia at admission is an independent predictor of in-hospital mortality among COVID-19 patients. This study investigates the prevalence and clinical impact of silent hypoxia among COVID-19 patients admitted to three referral hospitals in Kenya. Analysing patient outcomes, our study underscores the critical role of SpO<sub>2</sub> monitoring in reducing mortality and improving hypoxia management in resource-limited healthcare systems. In addition, we explored the availability of pulse oximetry, the prevalence of hypoxia and its association with mortality during the pandemic, offering actionable insights to address these challenges in similar settings.</p>
</sec>
<sec id="s0002">
<title>Research methods and design</title>
<sec id="s20003">
<title>Study design and population</title>
<p>This retrospective cohort study was conducted in three purposively selected referral facilities in three counties: Mbagathi County Referral Hospital (Nairobi County), Jaramogi Oginga Odinga Teaching and Referral Hospital (Kisumu County), and Kilifi County Referral Hospital (Kilifi County). The purposive selection of the three facilities was conducted in collaboration with the Division of Integrated Disease Surveillance and Response (DDSR), Ministry of Health, and was based on the high number of COVID-19 cases reported during the selected study period and the prevalence of human immunodeficiency virus (HIV) in the three counties. Nairobi County has a reported HIV prevalence of 3.8&#x0025;, Kisumu County 17.5&#x0025;, and Kilifi County 2.3&#x0025;<sup><xref ref-type="bibr" rid="CIT0033">33</xref></sup> As of the end of 2021, the cumulative COVID-19 caseload was 119 538 in Nairobi, 7368 in Kisumu and 6461 in Kilifi County.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup></p>
</sec>
<sec id="s20004">
<title>Epidemiological background</title>
<p>The first COVID-19 case in Kenya was reported on 13 March 2020. During the period covered by this study, Kenya underwent four distinct waves of SARS-CoV-2 infections, driven by different variants <italic>B.1</italic> (2nd wave: October 2020 to January 2021), <italic>Alpha/Beta</italic> (3rd wave: February to May 2021), <italic>Delta</italic> (4th wave: June 2021 to November 2021), and <italic>Omicron</italic> (5th wave: December 2021) variants.<sup><xref ref-type="bibr" rid="CIT0034">34</xref></sup> As of 31 December 2021, Kenya had recorded 297 155 confirmed COVID-19 cases and 5381 deaths, resulting in a case-fatality rate of 1.8&#x0025;.<sup><xref ref-type="bibr" rid="CIT0035">35</xref></sup></p>
</sec>
<sec id="s20005">
<title>Data collection and abstraction procedures</title>
<p>The study involved a retrospective cohort analysis of inpatient medical records from hospitalised COVID-19 patients in Kenya spanning 01 October 2020 to 31 December 2021. A team of trained research assistants, comprising clinical and health records officers, enumerated all the inpatients with a diagnosis of COVID admitted to the three facilities in that time period. Medical charts for these patients were retrieved from the health records departments for abstraction. The data were accessed for research purposes at different times in each facility: Kilifi County Referral Hospital, 05 October 2022 to 19 October 2022; Jaramogi Oginga Odinga Teaching and Referral Hospital, 09 November 2022 to 02 December 2022; and Mbagathi County Referral Hospital, 09 February 2023 to 24 February 2023. Data were abstracted using a formatted data abstraction tool programmed in Open Data Kit (ODK), (<ext-link ext-link-type="uri" xlink:href="https://opendatakit.org">https://opendatakit.org</ext-link>), and submitted to a central server for processing and analysis. All the data were stripped of all personally identifying information.</p>
</sec>
<sec id="s20006">
<title>Operational definitions and measures</title>
<p>A case <italic>infected with SARS-CoV-2</italic> was defined as a patient with a positive rapid diagnostic test or polymerase chain reaction (PCR) test result, or who was presumptively managed for COVID-19 based on symptomatic presentation, and was the <italic>dependent</italic> variable. <italic>Independent</italic> variables included clinical signs and symptoms, which were also abstracted, including fever, cough, and chest tightness. Chest X-ray findings (normal and abnormal), if available, were also abstracted. Comorbidities such as diabetes and hypertension were abstracted as present if the patient had reported them, even if blood glucose levels or current blood pressure readings were normal. We defined SpO<sub>2</sub> as the proportion of haemoglobin bound to oxygen relative to the total haemoglobin available. <italic>Hypoxia</italic> was defined as SpO<sub>2</sub> less than or equal to 94&#x0025; on room air at admission.<sup><xref ref-type="bibr" rid="CIT0010">10</xref></sup> <italic>Fever</italic> was defined as elevated body temperature &#x003E; 37.2 &#x00B0;C, and <italic>high respiratory rate</italic> (RR) as &#x2265; 30 breaths/minute. The outcome variable categories were in-hospital death, discharge or referral to another facility. Provision of <italic>supplemental oxygen</italic> was captured after admission, and <italic>dyspnoea</italic> was symptomatically assessed and documented as a presentation of the patients with respiratory distress or shortness of breath.</p>
</sec>
<sec id="s20007">
<title>Analyses</title>
<p>We tested for the differences in distribution using the Pearson Chi-square (&#x03C7;<sup>2</sup>) test. We assessed predictors for mortality for patients with hypoxia using Cox proportional hazards regression after calculating the time from admission to death in days and censoring the outcome. We included all potential predictors in the crude analyses after testing for the assumption of proportionality using the Schoenfield test, and included variables with a significance level of <italic>p</italic> &#x003C; 0.1 in the univariate analysis step in the final multivariable model. In the multivariable model, we controlled for SpO<sub>2</sub>, age (in years), hypertension, diabetes, cardiovascular disease and dyspnoea. We additionally calculated survival probabilities by hypoxia status at admission for patients on room air and oxygen supplementation using the Kaplan-Meier method, and produced survival graphs by hypoxia status. We used Stata (ver.15) for statistical analysis and R for Cox proportional hazards regression analysis and to generate the survival curves. We considered statistical significance at <italic>p</italic> &#x003C; 0.05.</p>
</sec>
<sec id="s20008">
<title>Ethical considerations</title>
<p>This study was in accordance with relevant guidelines and regulations, having been reviewed by Centers for Disease Control and Prevention (CDC) and deemed not research, and was conducted, consistent with applicable federal law and CDC policy (45 C.F.R. part 46.102(l)(2), 21 C.F.R. part 56; 42 U.S.C. Sect. 241(d); 5 U.S.C. Sect. 552a; 44 U.S.C. Sect. 3501 et seq). Ethical clearance to conduct this study was obtained from the US Department of Health and Human Services, Centers for Disease Control and Prevention (CGH-KEN-7/26/22-90353), the Africa Medical Research Foundation (AMREF) Health Africa in Kenya&#x2019;s Ethics and Scientific Review Committee (AMREF-ESRC P1233/2022), the University of California, San Francisco Human Research Protection Program Institutional Review Board (IRB: 22-37353), Jaramogi Oginga Odinga Teaching and Referral Hospital (REF: ISERC/JOOTRH/638/22), and Kilifi County Referral Hospital (REF: COH/DOH/RESEARCH/VOL.2/174). All three participating hospitals provided institutional approvals. The Kenya National Commission for Science, Technology, and Innovation (NACOSTI) additionally permitted this study (Licence No: NACOSTI/P/22/19903). Because of the study&#x2019;s retrospective nature and the use of de-identified data, the requirement for individual patient consent was waived.</p>
</sec>
</sec>
<sec id="s0009">
<title>Results</title>
<sec id="s20010">
<title>Socio-demographic and clinical characteristics</title>
<p>Among 1124 patients hospitalised with COVID-19, 1066 (94.8&#x0025;) had documented SpO<sub>2</sub> measurements at admission, of whom 868 (81.4&#x0025;) had hypoxia. Hypoxic patients compared to those with normal SpO<sub>2</sub> levels were significantly older (60+ years: 44.6 vs. 24.4&#x0025;) and had a higher prevalence of dyspnoea (60.1&#x0025; vs. 36.9&#x0025;), higher pulse rate (38.2&#x0025; vs. 24.6&#x0025;), and hypertension (40.4&#x0025; vs. 25.8&#x0025;) (<italic>p</italic> &#x003C; 0.001). Among patients with hypoxia, about 2 in every 5, 346 (39.9&#x0025;) did not have dyspnoea <italic>p</italic> &#x003C; 0.001. A higher proportion of patients with hypoxia died compared to those with normal SpO<sub>2</sub> (38.0&#x0025; vs. 13.6&#x0025;) <italic>p</italic> &#x003C; 0.001 (<xref ref-type="table" rid="T0001">Table 1</xref>).</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Patients&#x2019; demographic and clinical characteristics by hypoxia and mortality, Kenya 2020&#x2013;2021.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Characteristics<xref ref-type="table-fn" rid="TFN0001">&#x2020;</xref></th>
<th valign="top" align="center" colspan="2">Total<hr/></th>
<th valign="top" align="center" colspan="2">Hypoxia<xref ref-type="table-fn" rid="TFN0002">&#x2021;</xref><hr/></th>
<th valign="top" align="center" colspan="2">Normal SpO<sub>2</sub><hr/></th>
<th valign="top" align="center" rowspan="2"><italic>p</italic>-value<xref ref-type="table-fn" rid="TFN0004">&#x002A;</xref></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Total</bold></td>
<td align="center">1066</td>
<td align="center">-</td>
<td align="center">868</td>
<td align="center">81.4<xref ref-type="table-fn" rid="TFN0003">&#x00A7;</xref></td>
<td align="center">198</td>
<td align="center">18.6<xref ref-type="table-fn" rid="TFN0003">&#x00A7;</xref></td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Sex (<italic>n</italic> = 1062)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.065</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">567</td>
<td align="center">53.4</td>
<td align="center">474</td>
<td align="center">54.7</td>
<td align="center">93</td>
<td align="center">47.4</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">495</td>
<td align="center">46.6</td>
<td align="center">392</td>
<td align="center">45.3</td>
<td align="center">103</td>
<td align="center">52.6</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Age in years (<italic>n</italic> = 1063)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x003C; 40</td>
<td align="center">245</td>
<td align="center">23.0</td>
<td align="center">152</td>
<td align="center">17.6</td>
<td align="center">93</td>
<td align="center">47.2</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">40&#x2013;59</td>
<td align="center">384</td>
<td align="center">36.1</td>
<td align="center">328</td>
<td align="center">37.9</td>
<td align="center">56</td>
<td align="center">28.4</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2265; 60</td>
<td align="center">434</td>
<td align="center">40.8</td>
<td align="center">386</td>
<td align="center">44.6</td>
<td align="center">48</td>
<td align="center">24.4</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Occupation (<italic>n</italic> = 665)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.934</td>
</tr>
<tr>
<td align="left">Formal</td>
<td align="center">273</td>
<td align="center">41.1</td>
<td align="center">221</td>
<td align="center">41.1</td>
<td align="center">52</td>
<td align="center">40.9</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Informal</td>
<td align="center">379</td>
<td align="center">57.0</td>
<td align="center">307</td>
<td align="center">57.1</td>
<td align="center">72</td>
<td align="center">56.7</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Other</td>
<td align="center">13</td>
<td align="center">2.0</td>
<td align="center">10</td>
<td align="center">1.9</td>
<td align="center">3</td>
<td align="center">2.4</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>County (<italic>n</italic> = 1066)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.297</td>
</tr>
<tr>
<td align="left">Kilifi</td>
<td align="center">146</td>
<td align="center">13.7</td>
<td align="center">119</td>
<td align="center">13.7</td>
<td align="center">27</td>
<td align="center">13.6</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Kisumu</td>
<td align="center">533</td>
<td align="center">50.0</td>
<td align="center">443</td>
<td align="center">51.0</td>
<td align="center">90</td>
<td align="center">45.5</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Nairobi</td>
<td align="center">387</td>
<td align="center">36.3</td>
<td align="center">306</td>
<td align="center">35.3</td>
<td align="center">81</td>
<td align="center">40.9</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>HIV status (<italic>n</italic> = 99)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.936</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">88</td>
<td align="center">88.9</td>
<td align="center">65</td>
<td align="center">89.0</td>
<td align="center">23</td>
<td align="center">88.5</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">11</td>
<td align="center">11.1</td>
<td align="center">8</td>
<td align="center">11.0</td>
<td align="center">3</td>
<td align="center">11.5</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Temperature (<italic>n</italic> = 583)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.990</td>
</tr>
<tr>
<td align="left">Elevated body temperature (&#x003E; 37.2&#x00B0;C)</td>
<td align="center">45</td>
<td align="center">7.7</td>
<td align="center">36</td>
<td align="center">7.7</td>
<td align="center">9</td>
<td align="center">7.7</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Normal (36.5&#x00B0;C &#x2013; 37.2&#x00B0;C)</td>
<td align="center">538</td>
<td align="center">92.3</td>
<td align="center">430</td>
<td align="center">92.3</td>
<td align="center">108</td>
<td align="center">92.3</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Cough (<italic>n</italic> = 1066)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">269</td>
<td align="center">25.2</td>
<td align="center">190</td>
<td align="center">21.9</td>
<td align="center">79</td>
<td align="center">39.9</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">797</td>
<td align="center">74.8</td>
<td align="center">678</td>
<td align="center">78.1</td>
<td align="center">119</td>
<td align="center">60.1</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Chest tightness (<italic>n</italic> = 1066)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.177</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">584</td>
<td align="center">54.8</td>
<td align="center">467</td>
<td align="center">53.8</td>
<td align="center">117</td>
<td align="center">59.1</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">482</td>
<td align="center">45.2</td>
<td align="center">401</td>
<td align="center">46.2</td>
<td align="center">81</td>
<td align="center">40.9</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Hypertension (<italic>n</italic> = 1066)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">402</td>
<td align="center">37.7</td>
<td align="center">351</td>
<td align="center">40.4</td>
<td align="center">51</td>
<td align="center">25.8</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">664</td>
<td align="center">62.3</td>
<td align="center">517</td>
<td align="center">59.6</td>
<td align="center">147</td>
<td align="center">74.2</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Diabetes (<italic>n</italic> = 1066)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.110</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">251</td>
<td align="center">23.5</td>
<td align="center">213</td>
<td align="center">24.5</td>
<td align="center">38</td>
<td align="center">19.2</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">815</td>
<td align="center">76.5</td>
<td align="center">655</td>
<td align="center">75.5</td>
<td align="center">160</td>
<td align="center">80.8</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Pulse rate (PR) (<italic>n</italic> = 970)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Low PR (&#x003C; 60 bpm)</td>
<td align="center">35</td>
<td align="center">3.6</td>
<td align="center">34</td>
<td align="center">4.3</td>
<td align="center">1</td>
<td align="center">0.5</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Normal PR (60 bpm &#x2013; 100 bpm)</td>
<td align="center">590</td>
<td align="center">60.8</td>
<td align="center">450</td>
<td align="center">57.5</td>
<td align="center">140</td>
<td align="center">74.9</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">High PR (&#x003E; 100 bpm)</td>
<td align="center">345</td>
<td align="center">35.6</td>
<td align="center">299</td>
<td align="center">38.2</td>
<td align="center">46</td>
<td align="center">24.6</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Cardiovascular issues</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.281</td>
</tr>
<tr>
<td align="left">With issues</td>
<td align="center">1045</td>
<td align="center">98.0</td>
<td align="center">849</td>
<td align="center">97.8</td>
<td align="center">196</td>
<td align="center">99.0</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No issues</td>
<td align="center">21</td>
<td align="center">2.0</td>
<td align="center">19</td>
<td align="center">2.2</td>
<td align="center">2</td>
<td align="center">1.0</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Dyspnoea (<italic>n</italic> = 1066)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Dyspnoea</td>
<td align="center">595</td>
<td align="center">55.8</td>
<td align="center">522</td>
<td align="center">60.1</td>
<td align="center">73</td>
<td align="center">36.9</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">None</td>
<td align="center">471</td>
<td align="center">44.2</td>
<td align="center">346</td>
<td align="center">39.9</td>
<td align="center">125</td>
<td align="center">63.1</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Oxygen supplementation (<italic>n</italic> = 1066)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">644</td>
<td align="center">60.4</td>
<td align="center">595</td>
<td align="center">68.6</td>
<td align="center">49</td>
<td align="center">24.8</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">422</td>
<td align="center">39.6</td>
<td align="center">273</td>
<td align="center">31.5</td>
<td align="center">149</td>
<td align="center">75.3</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Patient Outcome (<italic>n</italic> = 1066)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Dead</td>
<td align="center">357</td>
<td align="center">33.5</td>
<td align="center">330</td>
<td align="center">38.0</td>
<td align="center">27</td>
<td align="center">13.6</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Discharged</td>
<td align="center">680</td>
<td align="center">63.8</td>
<td align="center">516</td>
<td align="center">59.4</td>
<td align="center">164</td>
<td align="center">82.8</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Referred out</td>
<td align="center">29</td>
<td align="center">2.7</td>
<td align="center">22</td>
<td align="center">2.5</td>
<td align="center">7</td>
<td align="center">3.5</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Source</italic>: Waruru A, Wambua JM, Otieno FV, et al. Hypoxia as a predictor of mortality among patients admitted with COVID-19 disease in three referral hospitals in Kenya, October 2020 to December 2021. 2024. medRxiv. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1101/2024.10.17.24315667">https://doi.org/10.1101/2024.10.17.24315667</ext-link></p></fn>
<fn><p>HIV, human immunodeficiency virus; PR, pulse rate; SpO<sub>2</sub>, Saturation of peripheral oxygen.</p></fn>
<fn id="TFN0001"><label>&#x2020;</label><p>, Some variables had missing values. The number of included records is indicated against the variable names;</p></fn>
<fn id="TFN0002"><label>&#x2021;</label><p>, Hypoxia was defined as SpO<sub>2</sub> reading of &#x2264; 94&#x0025; on room air measured during admission;</p></fn>
<fn id="TFN0003"><label>&#x00A7;</label><p>, Row percentages.</p></fn>
<fn id="TFN0004"><label>&#x002A;</label><p>, Chi-square <italic>p</italic>-values, significance at <italic>p</italic> &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20011">
<title>Dyspnoea and coronavirus disease 2019 outcomes</title>
<p>Among all COVID-19 patients without dyspnoea, hypoxic patients had threefold more deaths than those with normal SpO<sub>2</sub> (29.8&#x0025; vs. 9.6&#x0025;), <italic>p</italic> &#x003C; 0.001. Among all COVID-19 patients with dyspnoea, hypoxic patients had twofold more deaths than those with normal SpO<sub>2</sub> (43.5&#x0025; vs. 20.6&#x0025;), <italic>p</italic> = 0.002 (<xref ref-type="fig" rid="F0001">Figure 1</xref>).</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>Hypoxia and outcomes for coronavirus disease 2019 patients with and without dyspnoea, Kenya 2020&#x2013;2021.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JPHIA-16-1454-g001.tif"/>
</fig>
<p>Among all COVID-19 patients, those with hypoxia had a higher proportion of deaths than those with normal SpO<sub>2</sub> (38.0&#x0025; vs. 13.6&#x0025;), <italic>p</italic> &#x003C; 0.001. There were more deaths among COVID-19 patients with hypertension and hypoxia compared to hypertensive patients with normal SpO<sub>2</sub> (42.5&#x0025; vs. 7.8&#x0025;), <italic>p</italic> &#x003C; 0.001. For COVID-19 patients without hypertension, mortality was higher among patients who had hypoxia (35.0&#x0025;) compared to patients with normal SpO<sub>2</sub> (15.6&#x0025;), <italic>p</italic> &#x003C; 0.001 (<xref ref-type="fig" rid="F0002">Figure 2</xref>).</p>
<fig id="F0002">
<label>FIGURE 2</label>
<caption><p>Hypoxia and mortality for all patients with and without hypertension, Kenya 2020&#x2013;2021.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JPHIA-16-1454-g002.tif"/>
</fig>
</sec>
<sec id="s20012">
<title>Predictors of coronavirus disease 2019 mortality</title>
<p>Whether on oxygen supplementation or room air, survival probabilities were better for patients who did not have hypoxia on admission. Survival for non-hypoxic COVID-19 patients on room air plateaued from about 2 weeks of hospitalisation, while survival for hypoxic patients continued to worsen at a more rapid pace (<xref ref-type="fig" rid="F0003">Figure 3</xref>). Both hypoxic and non-hypoxic patients had similar declining survival rates beyond a month of hospitalisation. Half of the hypoxic patients on room air survived up to the 20th day, and over half of the non-hypoxic patients on room air survived over the 50th day. For patients on supplemental oxygen (<xref ref-type="fig" rid="F0003">Figure 3</xref>), survival probabilities rapidly worsened, and by around 10 days, over half of the hypoxic patients on admission were dead, compared to non-hypoxic patients on admission who survived a little longer.</p>
<fig id="F0003">
<label>FIGURE 3</label>
<caption><p>Survival probabilities for coronavirus disease 2019 patients (a) on room air and (b) on oxygen supplementation, by saturation of peripheral oxygen levels, Kenya 2020&#x2013;2021.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JPHIA-16-1454-g003.tif"/>
</fig>
<p>Out of 1123 patients admitted with COVID-19, 1122 recorded time-to-outcome data, and 868 experienced hypoxia. The median duration of admission was 6 days, with interquartile range (IQR) 2&#x2013;10. Among the 1066 patients with hypoxia data, 357 (33.5&#x0025;) died. Mortality was significantly higher in hypoxic patients (38.0&#x0025;) compared to those with normal oxygen levels (13.6&#x0025;) (<italic>p</italic> &#x003C; 0.001). Lower mortality rates were observed in non-hypoxic patients, females, those under 40, those with formal employment, HIV negative individuals, and those without hypertension, diabetes, cardiovascular issues or dyspnoea. Crude proportional hazards analysis identified hypoxia, age, hypertension, diabetes, cardiovascular issues and dyspnoea as significant factors affecting survival (<italic>p</italic> &#x003C; 0.05). In the adjusted model, hypoxia (adjusted hazard ratio [aHR] = 1.9 [95&#x0025; confidence interval {CI}:1.2&#x2013;2.8]), older age (&#x2265; 60 years; aHR = 1.8 [95&#x0025; CI:1.3&#x2013;2.6]) and dyspnoea (aHR = 1.5 [95&#x0025; CI: 1.2&#x2013;2.0]) were associated with a higher risk of death (<xref ref-type="table" rid="T0002">Table 2</xref>).</p>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Predictors of mortality in hospitalised coronavirus disease 2019 patients with hypoxia, Kenya 2020&#x2013;2021.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Factors</th>
<th valign="top" align="center" rowspan="2">&#x0025; complete<xref ref-type="table-fn" rid="TFN0005">&#x2020;</xref></th>
<th valign="top" align="center" colspan="2">Dead<hr/></th>
<th valign="top" align="center" rowspan="2">&#x0025;</th>
<th valign="top" align="center" rowspan="2">cHR</th>
<th valign="top" align="center" rowspan="2">95&#x0025; CI</th>
<th valign="top" align="center" rowspan="2">aHR<xref ref-type="table-fn" rid="TFN0006">&#x2021;</xref></th>
<th valign="top" align="center" rowspan="2">95&#x0025; CI</th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center"><italic>N</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Total</bold></td>
<td align="center">-</td>
<td align="center">365</td>
<td align="center">1122</td>
<td align="center">32.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>SpO<sub>2</sub></bold></td>
<td align="center">89.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Hypoxia</td>
<td align="center">-</td>
<td align="center">330</td>
<td align="center">868</td>
<td align="center">38.0</td>
<td align="center">2.3</td>
<td align="center">1.5&#x2013;3.4</td>
<td align="center">1.9</td>
<td align="center">1.2&#x2013;2.8<xref ref-type="table-fn" rid="TFN0007">&#x002A;</xref></td>
</tr>
<tr>
<td align="left">Normal SpO<sub>2</sub></td>
<td align="center">-</td>
<td align="center">27</td>
<td align="center">198</td>
<td align="center">13.6</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">ref.</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Sex</bold></td>
<td align="center">89.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">n.i</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">-</td>
<td align="center">200</td>
<td align="center">595</td>
<td align="center">33.6</td>
<td align="center">1.0</td>
<td align="center">0.8&#x2013;1.3</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">-</td>
<td align="center">165</td>
<td align="center">523</td>
<td align="center">31.5</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Age (years)</bold></td>
<td align="center">94.6</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x003C; 40</td>
<td align="center">-</td>
<td align="center">48</td>
<td align="center">273</td>
<td align="center">17.6</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">ref.</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">40&#x2013;59</td>
<td align="center">-</td>
<td align="center">119</td>
<td align="center">403</td>
<td align="center">29.5</td>
<td align="center">1.5</td>
<td align="center">1.1&#x2013;2.2</td>
<td align="center">1.1</td>
<td align="center">0.8&#x2013;1.7</td>
</tr>
<tr>
<td align="left">60+</td>
<td align="center">-</td>
<td align="center">196</td>
<td align="center">443</td>
<td align="center">44.2</td>
<td align="center">2.4</td>
<td align="center">1.7&#x2013;3.4</td>
<td align="center">1.8</td>
<td align="center">1.3&#x2013;2.6<xref ref-type="table-fn" rid="TFN0007">&#x002A;</xref></td>
</tr>
<tr>
<td align="left"><bold>Occupation</bold></td>
<td align="center">58.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">n.i</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Formal</td>
<td align="center">-</td>
<td align="center">86</td>
<td align="center">297</td>
<td align="center">29.0</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Informal</td>
<td align="center">-</td>
<td align="center">136</td>
<td align="center">390</td>
<td align="center">34.9</td>
<td align="center">1.3</td>
<td align="center">1.0&#x2013;1.8</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Other</td>
<td align="center">-</td>
<td align="center">6</td>
<td align="center">14</td>
<td align="center">42.9</td>
<td align="center">1.7</td>
<td align="center">0.7&#x2013;4.3</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>HIV status</bold></td>
<td align="center">9.0</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">n.i</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Positive</td>
<td align="center">-</td>
<td align="center">33</td>
<td align="center">94</td>
<td align="center">35.1</td>
<td align="center">3.0</td>
<td align="center">0.4&#x2013;22.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="center">-</td>
<td align="center">2</td>
<td align="center">11</td>
<td align="center">18.2</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Pulse</bold></td>
<td align="center">82.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">n.i</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Low PR (&#x003C; 60 bpm)</td>
<td align="center">-</td>
<td align="center">17</td>
<td align="center">35</td>
<td align="center">48.6</td>
<td align="center">1.8</td>
<td align="center">1.0&#x2013;3.1</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Normal PR (60 bpm &#x2013; 100 bpm)</td>
<td align="center">-</td>
<td align="center">169</td>
<td align="center">601</td>
<td align="center">28.1</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">High PR (&#x003E; 100 bpm)</td>
<td align="center">-</td>
<td align="center">146</td>
<td align="center">347</td>
<td align="center">42.1</td>
<td align="center">1.3</td>
<td align="center">1.0&#x2013;1.7</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Hypertension</bold></td>
<td align="center">94.7</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">-</td>
<td align="center">211</td>
<td align="center">713</td>
<td align="center">29.6</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">ref.</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">-</td>
<td align="center">154</td>
<td align="center">409</td>
<td align="center">37.7</td>
<td align="center">1.2</td>
<td align="center">1.0&#x2013;1.5</td>
<td align="center">1.0</td>
<td align="center">0.8&#x2013;1.2</td>
</tr>
<tr>
<td align="left"><bold>Diabetes</bold></td>
<td align="center">94.7</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">-</td>
<td align="center">264</td>
<td align="center">864</td>
<td align="center">30.6</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">ref.</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">-</td>
<td align="center">101</td>
<td align="center">258</td>
<td align="center">39.1</td>
<td align="center">1.2</td>
<td align="center">0.9&#x2013;1.5</td>
<td align="center">1.1</td>
<td align="center">0.8&#x2013;1.4</td>
</tr>
<tr>
<td align="left"><bold>Cough and chest issues</bold></td>
<td align="center">94.7</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">n.i</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Cough and chest tightness</td>
<td align="center">-</td>
<td align="center">134</td>
<td align="center">412</td>
<td align="center">32.5</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Only cough</td>
<td align="center">-</td>
<td align="center">141</td>
<td align="center">418</td>
<td align="center">33.7</td>
<td align="center">1.1</td>
<td align="center">0.9&#x2013;1.5</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Only chest tightness</td>
<td align="center">-</td>
<td align="center">18</td>
<td align="center">83</td>
<td align="center">21.7</td>
<td align="center">0.7</td>
<td align="center">0.4&#x2013;1.2</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No cough or chest tightness</td>
<td align="center">-</td>
<td align="center">72</td>
<td align="center">209</td>
<td align="center">34.4</td>
<td align="center">1.3</td>
<td align="center">0.9&#x2013;1.8</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Chest X-ray results</bold></td>
<td align="center">28.6</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">n.i</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Normal</td>
<td align="center">-</td>
<td align="center">10</td>
<td align="center">35</td>
<td align="center">28.6</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Abnormal</td>
<td align="center">-</td>
<td align="center">99</td>
<td align="center">298</td>
<td align="center">33.2</td>
<td align="center">1.3</td>
<td align="center">0.6&#x2013;2.5</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Cardiovascular disease</bold></td>
<td align="center">94.7</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No issues reported</td>
<td align="center">-</td>
<td align="center">352</td>
<td align="center">1100</td>
<td align="center">32.0</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">ref.</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Cardiovascular issues</td>
<td align="center">-</td>
<td align="center">13</td>
<td align="center">22</td>
<td align="center">59.1</td>
<td align="center">1.7</td>
<td align="center">0.9&#x2013;3.0</td>
<td align="center">1.3</td>
<td align="center">0.7&#x2013;2.4</td>
</tr>
<tr>
<td align="left"><bold>Dyspnoea</bold></td>
<td align="center">94.7</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">None</td>
<td align="center">-</td>
<td align="center">118</td>
<td align="center">515</td>
<td align="center">22.9</td>
<td align="center">ref.</td>
<td align="center">-</td>
<td align="center">ref.</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Dyspnoea</td>
<td align="center">-</td>
<td align="center">247</td>
<td align="center">607</td>
<td align="center">40.7</td>
<td align="center">1.7</td>
<td align="center">1.3&#x2013;2.2</td>
<td align="center">1.5</td>
<td align="center">1.2&#x2013;2.0<xref ref-type="table-fn" rid="TFN0007">&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Source</italic>: Waruru A, Wambua JM, Otieno FV, et al. Hypoxia as a predictor of mortality among patients admitted with COVID-19 disease in three referral hospitals in Kenya, October 2020 to December 2021. 2024. medRxiv. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1101/2024.10.17.24315667">https://doi.org/10.1101/2024.10.17.24315667</ext-link></p></fn>
<fn><p>n.i, not included; HIV, human immunodeficiency virus; PR, pulse rate; SpO<sub>2</sub>, saturation of peripheral oxygen; aHR, adjusted hazard ratio; cHR, crude hazard ratios; ref., referent category.</p></fn>
<fn id="TFN0005"><label>&#x2020;</label><p>, Percentage of records with complete time-to-event data;</p></fn>
<fn id="TFN0006"><label>&#x2021;</label><p>, Adjusted hazard ratio (adjusted for hypoxia, age, hypertension, diabetes, cardiovascular issues, and dyspnoea).</p></fn>
<fn id="TFN0007"><label>&#x002A;</label><p>, Statistically significant at <italic>p</italic> &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s0013">
<title>Discussion</title>
<p>This study highlights the critical role of hypoxia in determining the outcomes of patients hospitalised with COVID-19. We found that approximately 8 out of 10 patients hospitalised with COVID-19 had hypoxia (SpO<sub>2</sub> &#x2264; 94&#x0025;) at admission, a condition that was associated with significantly higher mortality rates compared to those with normal SpO<sub>2</sub>. The prevalence of hypoxia was particularly higher among older patients and those with clinical symptoms consistent with COVID-19, such as cough, chest tightness, low pulse rate, dyspnoea, and underlying comorbidities like hypertension and HIV infection. This relationship suggests that symptomatic COVID-19 disease may have a consistent prognosis even in the absence of diagnostic testing, a finding supported by similar studies.<sup><xref ref-type="bibr" rid="CIT0036">36</xref></sup> Notably, about 40&#x0025; of our patients experienced silent hypoxia, a proportion that aligns with estimates from other studies, which range between 4.8&#x0025; and 65&#x0025;.<sup><xref ref-type="bibr" rid="CIT0036">36</xref></sup> This high burden of hypoxia upon admission emphasises the need to evaluate its prognostic significance, particularly its relationship with mortality and survival outcomes among hospitalised patients.</p>
<p>SpO<sub>2</sub> has emerged as a crucial predictor of survival in COVID-19 patients.<sup><xref ref-type="bibr" rid="CIT0027">27</xref></sup> Mortality among hypoxic patients was 38.0&#x0025;, nearly threefold that of non-hypoxic patients (13.6&#x0025;). This is consistent with literature indicating that hypoxia is a key predictor of poor prognosis in respiratory infections.<sup><xref ref-type="bibr" rid="CIT0027">27</xref>,<xref ref-type="bibr" rid="CIT0028">28</xref>,<xref ref-type="bibr" rid="CIT0037">37</xref></sup> Moreover, older hypoxic patients had twice the risk of death compared with patients under 40, which is consistent with global findings.<sup><xref ref-type="bibr" rid="CIT0038">38</xref></sup> While hypertension was not independently associated with mortality in our study, it is generally recognised as a risk factor for severe COVID-19 and poor outcomes.<sup><xref ref-type="bibr" rid="CIT0039">39</xref></sup> Our findings suggest that normal SpO<sub>2</sub> levels are associated with better survival probabilities, while hypoxia, along with age and dyspnoea, independently predicts a higher risk of death. Therefore, oxygen supplementation is essential for hypoxic patients, as studies have shown that higher SpO<sub>2</sub> levels after supplementation are linked to reduced mortality,<sup><xref ref-type="bibr" rid="CIT0036">36</xref></sup> and improved survival probabilities.<sup><xref ref-type="bibr" rid="CIT0028">28</xref></sup> The observation that patients with hypoxia had over three times the mortality rate underscores the importance of assessing SpO<sub>2</sub> in all COVID-19 patients, regardless of their symptomatic presentation.</p>
<p>Oxygen supplementation is recommended for hypoxic patients. Although oxygen supplementation is a cornerstone of COVID-19 management, our study&#x2019;s observational design limits causal inference regarding its impact on survival. While hypoxic patients who received oxygen had lower survival probabilities &#x2013; likely reflecting underlying disease severity rather than the effect of oxygen itself &#x2013; this should not be interpreted as evidence that oxygen provision is ineffective. Instead, our findings highlight the urgent need for timely and equitable access to oxygen in line with global recommendations. Studies elsewhere have shown that when administered early, oxygen therapy improves survival outcomes in hypoxic patients.<sup><xref ref-type="bibr" rid="CIT0027">27</xref>,<xref ref-type="bibr" rid="CIT0035">35</xref></sup> Thus, our results reinforce the global consensus on the importance of oxygen access, while recognising that real-world outcomes in resource-constrained settings may be influenced by multiple co-occurring factors such as delayed presentation, limited monitoring or inadequate dosing strategies. It is important to note that only 3 out of 5 (68.6&#x0025;) of hypoxic patients in our study received oxygen supplementation, reflecting gaps in care delivery. The national guidelines recommend oxygen supplementation for patients with SpO<sub>2</sub> &#x2264; 94&#x0025;. While this threshold was the standard at the time, emerging evidence has since suggested that stricter thresholds (e.g., &#x003C; 92&#x0025;) might improve early detection of deterioration and might have been beneficial.<sup><xref ref-type="bibr" rid="CIT0040">40</xref></sup> We also lacked data on whether follow-up SpO<sub>2</sub> readings were taken after initial drops by 3&#x0025; &#x2013; 5&#x0025;, which is a recommended practice, as has been suggested by Galwankar et al.<sup><xref ref-type="bibr" rid="CIT0041">41</xref></sup> Community-level SpO<sub>2</sub> monitoring, such as providing oximeters to households,<sup><xref ref-type="bibr" rid="CIT0042">42</xref></sup> could be beneficial for ongoing patient management post-discharge, though we did not follow patients after discharge.</p>
<p>Our study had some limitations. We lacked COVID-19 diagnostic information for some cases, relying instead on clinician documentation based on symptomatic presentation. Additionally, SpO<sub>2</sub> data were missing for 5.2&#x0025; of records, but this low proportion is unlikely to bias our findings. The relatively stringent definition of hypoxia used in this study may have led to the misclassification of some patients as having silent hypoxia, though we adhered to national guidelines. The prevalence of hypoxia in this study was higher than in many global settings. However, our purposive selection of high-volume referral hospitals likely captured a sicker population and may have inflated these estimates. This selection bias, along with the retrospective nature of the study and variability in documentation, limits generalisability to the broader Kenyan context, including patients with milder disease managed in lower-level facilities. Furthermore, retrospective data reviews are prone to missing information, inconsistent clinical documentation and recall bias, all of which may affect data accuracy. To mitigate these issues, we made concerted efforts to verify patient chart contents and collaborated closely with facility health records officers to enhance data quality. A key limitation is that the association between hypoxia and mortality may be confounded by treatment gaps, as not all hypoxic patients received oxygen, making the hazard ratio reflect both disease severity and inadequate management in a low-resource setting. We also did not track patient outcomes of COVID-19 patients post-discharge. Finally, we could not determine whether hypertensive patients had a history of hypertension or elevated blood pressure before admission. Despite these limitations, our study provides valuable insights into the utility of SpO<sub>2</sub> monitoring for the clinical management of hospitalised COVID-19 patients.</p>
</sec>
<sec id="s0014">
<title>Conclusion</title>
<p>Our findings suggest that SpO<sub>2</sub> monitoring is essential in managing hospitalised COVID-19 patients, especially in low-resource settings. While comorbidities may play a role in disease progression, hypoxia and age were the strongest independent predictors of mortality in our cohort. Importantly, the frequent occurrence of silent hypoxia supports its inclusion in triage protocols. Our findings highlight critical patterns in clinical presentation and outcomes that are likely relevant to similarly resourced public facilities across Kenya. Nonetheless, we caution against extrapolating these findings to rural or private settings without further investigation and recommend future studies with broader facility representation. Future research should directly model silent hypoxia as a primary exposure variable to better quantify its independent association with mortality. In addition, studies that incorporate broader severity indicators and follow-up outcomes will be vital in refining clinical care strategies for similar low-resource settings.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>We thank the Kenyan Ministry of Health, the Division of Disease Surveillance and Response (DDSR), the National AIDs and STIs Control Programme (NASCOP), viral load testing laboratories, implementing partners and patients. This work was supported by the President&#x2019;s Emergency Plan for AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention (CDC). A preprint version of this work (Hypoxia as a predictor of mortality among patients admitted with COVID-19 disease in three referral hospitals in Kenya, October 2020 to December 2021) was previously published on <ext-link ext-link-type="uri" xlink:href="http://www.medrxiv.org">www.medrxiv.org</ext-link> <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1101/2024.10.17.24315667">https://doi.org/10.1101/2024.10.17.24315667</ext-link>,<sup><xref ref-type="bibr" rid="CIT0043">43</xref></sup> and we acknowledge its role in shaping the final manuscript.</p>
<sec id="s20015" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors of this publication reveived research funding from the <italic>American Rescue Plan Act of 2021</italic> and the US President&#x2019;s Emergency Plan for AIDS Relief (PEPFAR) through cooperative agreements (GH002338, GH002266, &#x0026; GH002339) from the US Centers for Disease Control and Prevention (CDC), Division of Global HIV &#x0026; TB (DGHT) which is developing products related to the research described in this publication. In addition, the author serves as a consultant to the entity and received compensation for these services. The terms of this arrangement have been reviewed and approved by the CDC in accordance with its policy on objectivity in research.</p>
</sec>
<sec id="s20016">
<title>Authors&#x2019; contributions</title>
<p>A.W. conceptualised the manuscript, analysed the data and drafted the initial and subsequent drafts of the manuscript. J.M.W. contributed to the analyses. F.O. assisted in data collection and cleaning. M.M., P.M., W.W., S.J., A.N., D.O., and N.M. contributed substantially to protocol development, data collection and critical review of the manuscript. C.N., A.M. and J.O. provided administrative approvals, including study processes. All authors read and approved the final version of the manuscript.</p>
</sec>
<sec id="s20017" sec-type="data-availability">
<title>Data availability</title>
<p>Data sharing is not applicable to this article, as no new data were created or analysed in this study.</p>
</sec>
<sec id="s20018">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and are the product of professional research. They do not necessarily reflect the official policy or position of any affiliated institution, funder, agency or that of the publisher. The authors are responsible for this article&#x2019;s results, findings and content.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Waruru A, Wambua JM, Otieno FV, et al. Hypoxia predicts COVID-19 mortality: Evidence to inform low-resource care. J Public Health Africa. 2025;16(1), a1454. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/jphia.v16i1.1454">https://doi.org/10.4102/jphia.v16i1.1454</ext-link></p></fn>
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