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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Main Authors: Kamaruddin Mardhiah, Nadiah Wan-Arfah, Nyi Nyi Naing, Muhammad Radzi Abu Hassan, Huan-Keat Chan
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Asian Pacific Journal of Tropical Medicine
Subjects:
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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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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