{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T00:19:53Z","timestamp":1789777193505,"version":"4.0.1"},"reference-count":55,"publisher":"Public Library of Science (PLoS)","issue":"6","license":[{"start":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:00:00Z","timestamp":1750204800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003042","name":"Else Kr\u00f6ner-Fresenius-Stiftung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003042","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009736","name":"Freiwillige Akademische Gesellschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009736","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec027\">\n<jats:title>Background<\/jats:title>\n<jats:p>Data on rural sub-Saharan African high-dependency units (HDU) are lacking. We describe patient\u2019s characteristics, diagnoses, and outcomes of patients admitted to a Tanzanian HDU, and identified factors associated with in-hospital mortality.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec028\">\n<jats:title>Methods<\/jats:title>\n<jats:p>This prospective single-center cohort study was conducted in the HDU of a Tanzanian rural referral hospital. All patients admitted to the HDU were eligible. Descriptive analyses, and univariate and multivariate modeling to identify predictors of in-hospital mortality were done. Kaplan-Meier survival curves were employed to estimate mortality rates over time. The area under the receiver operating characteristic curve was used to assess the predictive accuracy of early warning scores.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec029\">\n<jats:title>Results<\/jats:title>\n<jats:p>From April 4<jats:sup>th<\/jats:sup> 2023 to March 29<jats:sup>th<\/jats:sup> 2024, 491 patients were included and followed-up until hospital discharge. Median age was 46 years (IQR 29\u221265); 259 (53%) were females. Most common diagnoses were sepsis (N\u2009=\u200996, 20%), arterial hypertension (N\u2009=\u200991, 19%), diabetes mellitus (N\u2009=\u200984, 17%), acute kidney injury (N\u2009=\u200966, 13%), decompensated heart failure (N\u2009=\u200964, 13%), aspiration pneumonia (N\u2009=\u200960, 12%), and stroke (N\u2009=\u200959, 12%). Mortality during HDU- and hospital stay was 30%(N\u2009=\u2009146) and 37%(N\u2009=\u2009182), respectively. 54% of patients with sepsis, 51% with stroke, 65% with aspiration pneumonia and 27% with heart failure died in the HDU. Predictors of in-hospital mortality were age\u2009\u2265\u200945 years versus 18\u221244 (adjusted Hazard Ratio (aHR) 1.56, 95% CI 1.07\u20132.28, p\u2009=\u20090.03), blood pressure &lt;90mmHg (aHR 2.33, 95%CI 1.48\u20133.81, p\u2009&lt;\u20090.001), Glasgow Coma Scale score \u22648 versus 14\u221215 (aHR 2.13, 95%CI 1.24\u20133.64, p\u2009=\u20090.02) and oxygen saturation at room air\u2009&lt;\u200990% (aHR 1.62, 95%CI 1.04\u20132.51, p\u2009=\u20090.03). The area under the curve predicting in-hospital mortality was 0.69 (95%CI 0.65\u20130.73) for the NEWS- and UVA scores, 0.66 (95%CI 0.62\u20130.70) for the MEWS-, and 0.65 (95%CI 0.61\u20130.69) for the qSOFA score.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec030\">\n<jats:title>Conclusion<\/jats:title>\n<jats:p>Sepsis and non-communicable diseases were the most common diagnoses. Scores predicted in-hospital mortality with a moderate accuracy.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0324640","type":"journal-article","created":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:39:58Z","timestamp":1750268398000},"page":"e0324640","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":3,"title":["Diagnoses and critical care outcomes in a rural Tanzanian high dependency unit: A prospective cohort 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