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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Published in:Asian Pacific Journal of Tropical Medicine
Main Authors: Kamaruddin Mardhiah, Nadiah Wan-Arfah, Nyi Nyi Naing, Muhammad Radzi Abu Hassan, Huan-Keat Chan
Format: Article in Journal/Newspaper
Language:English
Published: Wolters Kluwer Medknow Publications 2021
Subjects:
Online Access:https://doi.org/10.4103/1995-7645.321612
https://doaj.org/article/7beb6003eea04525b768320566f4f4b5
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spelling 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
collection 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
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