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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Language: | English |
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Wolters Kluwer Medknow Publications
2021-01-01
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Series: | Asian Pacific Journal of Tropical Medicine |
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Online Access: | http://www.apjtm.org/article.asp?issn=1995-7645;year=2021;volume=14;issue=8;spage=356;epage=363;aulast=Mardhiah |
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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 |
collection | DOAJ |
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. |
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format | Article |
id | doaj.art-7beb6003eea04525b768320566f4f4b5 |
institution | Directory Open Access Journal |
issn | 2352-4146 |
language | English |
last_indexed | 2024-04-11T21:27:42Z |
publishDate | 2021-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | Asian Pacific Journal of Tropical Medicine |
spelling | doaj.art-7beb6003eea04525b768320566f4f4b52022-12-22T04:02:19ZengWolters Kluwer Medknow PublicationsAsian Pacific Journal of Tropical Medicine2352-41462021-01-0114835636310.4103/1995-7645.321612Predictors of in-hospital mortality by logistic regression analysis among melioidosis patients in Northern Malaysia: A retrospective studyKamaruddin MardhiahNadiah Wan-ArfahNyi Nyi NaingMuhammad Radzi Abu HassanHuan-Keat ChanObjective: 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.http://www.apjtm.org/article.asp?issn=1995-7645;year=2021;volume=14;issue=8;spage=356;epage=363;aulast=Mardhiahmelioidosis; infectious disease; mortality; predictors; prognostic factors; logistic model |
spellingShingle | 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 Asian Pacific Journal of Tropical Medicine melioidosis; infectious disease; mortality; predictors; prognostic factors; logistic model |
title | 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_short | 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 |
topic | melioidosis; infectious disease; mortality; predictors; prognostic factors; logistic model |
url | http://www.apjtm.org/article.asp?issn=1995-7645;year=2021;volume=14;issue=8;spage=356;epage=363;aulast=Mardhiah |
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