{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,27]],"date-time":"2023-12-27T00:11:08Z","timestamp":1703635868580},"reference-count":33,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2011,5,14]],"date-time":"2011-05-14T00:00:00Z","timestamp":1305331200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["World j. surg."],"published-print":{"date-parts":[[2011,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The aim of this study was to estimate the incidence of acute malnutrition and to identify predictors of case fatality among burn patients in the poorest South African province, Eastern Cape.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This longitudinal follow\u2010up study was conducted among consecutive burn patients admitted to Nelson Mandela Academic Hospital, Mthatha, South Africa, between 2006 and 2008. Patients were monitored and treated daily from admission to discharge. Outcomes were acute protein malnutrition and mortality. Patients\u2019 demography, total body surface area (TBSA) of the burn, cause of the burn, weight, height, location of the burn, hemoglobin, serum albumin, wound infection, and antibiotics after culture and sensitivity results were the potential predictors of in\u2010hospital mortality. A Cox\u2019s proportional hazards model for the time to death was then used to identify independent predictors of mortality after adjusting for confounding factors. Kaplan\u2013Meier survival curves were generated for each arm of exposure status.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In all, 67 patients (35\u00a0males, 59 children) were studied. The mean (range) age was 8 \u00b1 12 years (1\u00a0month to 59 years). The cumulative incidence of acute malnutrition was 62.0% (<jats:italic>n<\/jats:italic> = 42): 46.3% (<jats:italic>n<\/jats:italic> = 31) at admission and 15.7% (<jats:italic>n<\/jats:italic> = 11) after 7\u00a0days of hospitalization. Incidence of mortality was 16.4% (<jats:italic>n<\/jats:italic> = 11 with in\u2010hospital acute malnutrition). The only significant and independent predictors of mortality were total body surface area (TBSA) burn &gt;40% [hazard ratio (HR) 10.5, 95% confidence interval (CI) 1.7\u201363; <jats:italic>P<\/jats:italic> &lt; 0.01] and affected anterior trunk (HR 4.4, 95% CI 1.3\u201314.7; <jats:italic>P<\/jats:italic> = 0.018).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Urgent prevention strategies of burns and evidence\u2010based practice with early nutritional supplementation are needed to reduce high rates of malnutrition and mortality.<\/jats:p><\/jats:sec>","DOI":"10.1007\/s00268-011-1122-7","type":"journal-article","created":{"date-parts":[[2011,5,13]],"date-time":"2011-05-13T19:43:02Z","timestamp":1305315782000},"page":"1546-1552","source":"Crossref","is-referenced-by-count":6,"title":["Survival Function and Protein Malnutrition in Burns Patients at a Rural Hospital in Africa"],"prefix":"10.1002","volume":"35","author":[{"given":"H. J.","family":"Kingu","sequence":"first","affiliation":[{"name":"Department of Surgery Walter Sisulu University Mthatha Eastern Cape South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Longo\u2010Mbenza","sequence":"additional","affiliation":[{"name":"Faculty of Health Sciences Walter Sisulu University Mthatha Eastern Cape South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Dhaffala","sequence":"additional","affiliation":[{"name":"Department of Surgery Walter Sisulu University Mthatha Eastern Cape South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E. 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