Predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in Northern Malaysia: A retrospective study
Objective: To identify the predictors of mortality among in-hospital melioidosis patients. Methods: A total of 453 patients in Hospital Sultanah Bahiyah, Kedah, and Hospital Tuanku Fauziah, Perlis with culture-confirmed melioidosis were retrospectively included in the study. Advanced multiple logist...
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Wolters Kluwer Medknow Publications
2021
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Online Access: | https://doi.org/10.4103/1995-7645.321612 https://doaj.org/article/7beb6003eea04525b768320566f4f4b5 |
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ftdoajarticles:oai:doaj.org/article:7beb6003eea04525b768320566f4f4b5 2023-05-15T15:13:19+02:00 Predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in Northern Malaysia: A retrospective study Kamaruddin Mardhiah Nadiah Wan-Arfah Nyi Nyi Naing Muhammad Radzi Abu Hassan Huan-Keat Chan 2021-01-01T00:00:00Z https://doi.org/10.4103/1995-7645.321612 https://doaj.org/article/7beb6003eea04525b768320566f4f4b5 EN eng Wolters Kluwer Medknow Publications http://www.apjtm.org/article.asp?issn=1995-7645;year=2021;volume=14;issue=8;spage=356;epage=363;aulast=Mardhiah https://doaj.org/toc/2352-4146 2352-4146 doi:10.4103/1995-7645.321612 https://doaj.org/article/7beb6003eea04525b768320566f4f4b5 Asian Pacific Journal of Tropical Medicine, Vol 14, Iss 8, Pp 356-363 (2021) melioidosis infectious disease mortality predictors prognostic factors logistic model Arctic medicine. Tropical medicine RC955-962 article 2021 ftdoajarticles https://doi.org/10.4103/1995-7645.321612 2022-12-30T20:39:31Z Objective: To identify the predictors of mortality among in-hospital melioidosis patients. Methods: A total of 453 patients in Hospital Sultanah Bahiyah, Kedah, and Hospital Tuanku Fauziah, Perlis with culture-confirmed melioidosis were retrospectively included in the study. Advanced multiple logistic regression was used to obtain the final model of predictors of mortality from melioidosis. The analysis was performed using STATA/SE 14.0. Results: A total of 50.11% (227/453) of the patients died at the hospital, and a majority (86.75%, 393/453) of cases were bacteremic. The logistic regression estimated that the bacteremic type of melioidosis, low platelet count, abnormal white blood cell counts, and increased urea value were predictors of mortality. The results showed that bacteremic melioidosis increased the risk of death by 4.39 times (OR 4.39, 95% CI 1.83-10.55, P=0.001) compared to non-bacteremic melioidosis. Based on laboratory test, the adjusted ORs from the final model showed that all three blood investigations were included as the associated factors of mortality for the disease [high white blood cell (>10×109/L): OR 2.43, 95% CI 1.41-4.17, P<0.001; low white blood cell (<4×109/L): OR 3.82, 95% CI 1.09-13.34, P=0.036; low platelet (<100×109/L): OR 4.19, 95% CI 1.89-9.30, P<0.001; high urea (>7 800 μmol/L): OR 5.53, 95% CI 2.50-12.30, P<0.001; and low level of urea (<2 500 μmol/L): OR 3.52, 95% CI 1.71-7.23, P=0.001). Conclusions: Routine blood investigations during a hospital admission can early identify predictors of mortality in melioidosis patients. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Asian Pacific Journal of Tropical Medicine 14 8 356 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
melioidosis infectious disease mortality predictors prognostic factors logistic model Arctic medicine. Tropical medicine RC955-962 |
spellingShingle |
melioidosis infectious disease mortality predictors prognostic factors logistic model Arctic medicine. Tropical medicine RC955-962 Kamaruddin Mardhiah Nadiah Wan-Arfah Nyi Nyi Naing Muhammad Radzi Abu Hassan Huan-Keat Chan Predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in Northern Malaysia: A retrospective study |
topic_facet |
melioidosis infectious disease mortality predictors prognostic factors logistic model Arctic medicine. Tropical medicine RC955-962 |
description |
Objective: To identify the predictors of mortality among in-hospital melioidosis patients. Methods: A total of 453 patients in Hospital Sultanah Bahiyah, Kedah, and Hospital Tuanku Fauziah, Perlis with culture-confirmed melioidosis were retrospectively included in the study. Advanced multiple logistic regression was used to obtain the final model of predictors of mortality from melioidosis. The analysis was performed using STATA/SE 14.0. Results: A total of 50.11% (227/453) of the patients died at the hospital, and a majority (86.75%, 393/453) of cases were bacteremic. The logistic regression estimated that the bacteremic type of melioidosis, low platelet count, abnormal white blood cell counts, and increased urea value were predictors of mortality. The results showed that bacteremic melioidosis increased the risk of death by 4.39 times (OR 4.39, 95% CI 1.83-10.55, P=0.001) compared to non-bacteremic melioidosis. Based on laboratory test, the adjusted ORs from the final model showed that all three blood investigations were included as the associated factors of mortality for the disease [high white blood cell (>10×109/L): OR 2.43, 95% CI 1.41-4.17, P<0.001; low white blood cell (<4×109/L): OR 3.82, 95% CI 1.09-13.34, P=0.036; low platelet (<100×109/L): OR 4.19, 95% CI 1.89-9.30, P<0.001; high urea (>7 800 μmol/L): OR 5.53, 95% CI 2.50-12.30, P<0.001; and low level of urea (<2 500 μmol/L): OR 3.52, 95% CI 1.71-7.23, P=0.001). Conclusions: Routine blood investigations during a hospital admission can early identify predictors of mortality in melioidosis patients. |
format |
Article in Journal/Newspaper |
author |
Kamaruddin Mardhiah Nadiah Wan-Arfah Nyi Nyi Naing Muhammad Radzi Abu Hassan Huan-Keat Chan |
author_facet |
Kamaruddin Mardhiah Nadiah Wan-Arfah Nyi Nyi Naing Muhammad Radzi Abu Hassan Huan-Keat Chan |
author_sort |
Kamaruddin Mardhiah |
title |
Predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in Northern Malaysia: A retrospective study |
title_short |
Predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in Northern Malaysia: A retrospective study |
title_full |
Predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in Northern Malaysia: A retrospective study |
title_fullStr |
Predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in Northern Malaysia: A retrospective study |
title_full_unstemmed |
Predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in Northern Malaysia: A retrospective study |
title_sort |
predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in northern malaysia: a retrospective study |
publisher |
Wolters Kluwer Medknow Publications |
publishDate |
2021 |
url |
https://doi.org/10.4103/1995-7645.321612 https://doaj.org/article/7beb6003eea04525b768320566f4f4b5 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Asian Pacific Journal of Tropical Medicine, Vol 14, Iss 8, Pp 356-363 (2021) |
op_relation |
http://www.apjtm.org/article.asp?issn=1995-7645;year=2021;volume=14;issue=8;spage=356;epage=363;aulast=Mardhiah https://doaj.org/toc/2352-4146 2352-4146 doi:10.4103/1995-7645.321612 https://doaj.org/article/7beb6003eea04525b768320566f4f4b5 |
op_doi |
https://doi.org/10.4103/1995-7645.321612 |
container_title |
Asian Pacific Journal of Tropical Medicine |
container_volume |
14 |
container_issue |
8 |
container_start_page |
356 |
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1766343883605671936 |