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The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study
Melioidosis is an infectious disease that is initiated by a bacteria recognized as Burkholderia pseudomallei. Despite the high fatality rate from melioidosis, there is a minimal published study about the disease in Malaysia. This study aimed to identify the prognostic factors of mortality among meli...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238369/ https://www.ncbi.nlm.nih.gov/pubmed/34160382 http://dx.doi.org/10.1097/MD.0000000000026160 |
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author | Mardhiah, Kamaruddin Wan-Arfah, Nadiah Naing, Nyi Nyi Hassan, Muhammad Radzi Abu Chan, Huan-Keat |
author_facet | Mardhiah, Kamaruddin Wan-Arfah, Nadiah Naing, Nyi Nyi Hassan, Muhammad Radzi Abu Chan, Huan-Keat |
author_sort | Mardhiah, Kamaruddin |
collection | PubMed |
description | Melioidosis is an infectious disease that is initiated by a bacteria recognized as Burkholderia pseudomallei. Despite the high fatality rate from melioidosis, there is a minimal published study about the disease in Malaysia. This study aimed to identify the prognostic factors of mortality among melioidosis patients in northern Malaysia. All inpatient patients who were admitted to Hospital Sultanah Bahiyah, Kedah and Hospital Tuanku Fauziah, Perlis with culture-confirmed melioidosis during the period 2014 to 2017 were included in the study. The study retrospectively collected 510 melioidosis patients from the Melioidosis Registry. Hazard ratio (HR) used in advanced multiple Cox regression was used to obtain the final model of prognostic factors of melioidosis. The analysis was performed using STATA/SE 14.0 for Windows software. From the results, among the admitted patients, 50.1% died at the hospital. The mean age for those who died was 55 years old, and they were mostly male. The most common underlying disease was diabetes mellitus (69.8%), followed by hypertension (32.7%). The majority of cases (86.8%) were bacteremic. The final Cox model identified 5 prognostic factors of mortality among melioidosis patients. The factors were diabetes mellitus, type of melioidosis, platelet count, white blood cell count, and urea value. The results showed that bacteremic melioidosis increased the risk of dying by 3.47 (HR: 3.47, 95% confidence intervals [CI]: 1.67–7.23, P = .001) compared to non-bacteremic melioidosis. Based on the blood investigations, the adjusted HRs from the final model showed that all 3 blood investigations were included as the prognostic factors for the disease (low platelet: HR = 1.76, 95% CI: 1.22–2.54, P = .003; high white blood cell: HR = 1.49, 95% CI 1.06–2.11, P = .023; high urea: HR = 2.92, 95% CI: 1.76–4.85, P < .001; and low level of urea: HR = 2.69, 95% CI: 1.69–4.29, P < .001). By contrast, melioidosis patients with diabetic had 30.0% lower risk of dying from melioidosis compared to those with non-diabetic (HR = 0.70, 95% CI: 0.52–0.94, P = .016). Identifying the prognostic factors of mortality in patients with melioidosis allows a guideline of early management in these patients, which may improve patient's survival. |
format | Online Article Text |
id | pubmed-8238369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82383692021-07-06 The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study Mardhiah, Kamaruddin Wan-Arfah, Nadiah Naing, Nyi Nyi Hassan, Muhammad Radzi Abu Chan, Huan-Keat Medicine (Baltimore) 4900 Melioidosis is an infectious disease that is initiated by a bacteria recognized as Burkholderia pseudomallei. Despite the high fatality rate from melioidosis, there is a minimal published study about the disease in Malaysia. This study aimed to identify the prognostic factors of mortality among melioidosis patients in northern Malaysia. All inpatient patients who were admitted to Hospital Sultanah Bahiyah, Kedah and Hospital Tuanku Fauziah, Perlis with culture-confirmed melioidosis during the period 2014 to 2017 were included in the study. The study retrospectively collected 510 melioidosis patients from the Melioidosis Registry. Hazard ratio (HR) used in advanced multiple Cox regression was used to obtain the final model of prognostic factors of melioidosis. The analysis was performed using STATA/SE 14.0 for Windows software. From the results, among the admitted patients, 50.1% died at the hospital. The mean age for those who died was 55 years old, and they were mostly male. The most common underlying disease was diabetes mellitus (69.8%), followed by hypertension (32.7%). The majority of cases (86.8%) were bacteremic. The final Cox model identified 5 prognostic factors of mortality among melioidosis patients. The factors were diabetes mellitus, type of melioidosis, platelet count, white blood cell count, and urea value. The results showed that bacteremic melioidosis increased the risk of dying by 3.47 (HR: 3.47, 95% confidence intervals [CI]: 1.67–7.23, P = .001) compared to non-bacteremic melioidosis. Based on the blood investigations, the adjusted HRs from the final model showed that all 3 blood investigations were included as the prognostic factors for the disease (low platelet: HR = 1.76, 95% CI: 1.22–2.54, P = .003; high white blood cell: HR = 1.49, 95% CI 1.06–2.11, P = .023; high urea: HR = 2.92, 95% CI: 1.76–4.85, P < .001; and low level of urea: HR = 2.69, 95% CI: 1.69–4.29, P < .001). By contrast, melioidosis patients with diabetic had 30.0% lower risk of dying from melioidosis compared to those with non-diabetic (HR = 0.70, 95% CI: 0.52–0.94, P = .016). Identifying the prognostic factors of mortality in patients with melioidosis allows a guideline of early management in these patients, which may improve patient's survival. Lippincott Williams & Wilkins 2021-06-25 /pmc/articles/PMC8238369/ /pubmed/34160382 http://dx.doi.org/10.1097/MD.0000000000026160 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 4900 Mardhiah, Kamaruddin Wan-Arfah, Nadiah Naing, Nyi Nyi Hassan, Muhammad Radzi Abu Chan, Huan-Keat The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study |
title | The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study |
title_full | The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study |
title_fullStr | The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study |
title_full_unstemmed | The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study |
title_short | The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study |
title_sort | cox model of predicting mortality among melioidosis patients in northern malaysia: a retrospective study |
topic | 4900 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238369/ https://www.ncbi.nlm.nih.gov/pubmed/34160382 http://dx.doi.org/10.1097/MD.0000000000026160 |
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