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MuLBSTA score in COVID-19 pneumonia and prediction of 14-day mortality risk: A study in an Indian cohort
BACKGROUND: The infectious agent which has caused the COVID-19 pandemic is a coronavirus named SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). On one end of the spectrum, a patient suffering from COVID-19 may be asymptomatic or have mild symptoms, while on the other end of the spectrum...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132828/ https://www.ncbi.nlm.nih.gov/pubmed/34017730 http://dx.doi.org/10.4103/jfmpc.jfmpc_1766_20 |
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author | Preetam, Mukul Anurag, Aditya |
author_facet | Preetam, Mukul Anurag, Aditya |
author_sort | Preetam, Mukul |
collection | PubMed |
description | BACKGROUND: The infectious agent which has caused the COVID-19 pandemic is a coronavirus named SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). On one end of the spectrum, a patient suffering from COVID-19 may be asymptomatic or have mild symptoms, while on the other end of the spectrum, a patient may develop numerous life-threatening complications. The way a host responds to infection by SARS-CoV-2 depends on various host factors like hypertension, old age, etc., The MuLBSTA scoring system takes into account various clinical and laboratory parameters and tries to predict the mortality risk for a patient. Besides, the validation of MuLBSTA score for mortality because of COVID-19 has not been extensively studied in an Indian set-up. This study is aimed at finding the association between the MuLBSTA score and the 14-day mortality risk because of COVID-19 in Indian population. MATERIALS AND METHODS: This study included 122 patients who were receiving treatment for SARS-CoV-2 infection at a tertiary hospital in Ranchi, Jharkhand. The disease severity (as per the ICMR guidelines), the MuLBSTA score, and the disease outcome of all patients were noted and analyzed in this study. RESULTS: A strong association was seen between a MuLBSTA score of ≥12 and the 14-day mortality risk in COVID-19 patients. CONCLUSION: The MuLBSTA scoring system is an easy to calculate model, which predicts the 14-day mortality risk because of SARS-CoV-2 infection. This may help the primary care physicians in stratifying and referring the patients who have a higher chance of developing severe complications. |
format | Online Article Text |
id | pubmed-8132828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-81328282021-05-19 MuLBSTA score in COVID-19 pneumonia and prediction of 14-day mortality risk: A study in an Indian cohort Preetam, Mukul Anurag, Aditya J Family Med Prim Care Original Article BACKGROUND: The infectious agent which has caused the COVID-19 pandemic is a coronavirus named SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). On one end of the spectrum, a patient suffering from COVID-19 may be asymptomatic or have mild symptoms, while on the other end of the spectrum, a patient may develop numerous life-threatening complications. The way a host responds to infection by SARS-CoV-2 depends on various host factors like hypertension, old age, etc., The MuLBSTA scoring system takes into account various clinical and laboratory parameters and tries to predict the mortality risk for a patient. Besides, the validation of MuLBSTA score for mortality because of COVID-19 has not been extensively studied in an Indian set-up. This study is aimed at finding the association between the MuLBSTA score and the 14-day mortality risk because of COVID-19 in Indian population. MATERIALS AND METHODS: This study included 122 patients who were receiving treatment for SARS-CoV-2 infection at a tertiary hospital in Ranchi, Jharkhand. The disease severity (as per the ICMR guidelines), the MuLBSTA score, and the disease outcome of all patients were noted and analyzed in this study. RESULTS: A strong association was seen between a MuLBSTA score of ≥12 and the 14-day mortality risk in COVID-19 patients. CONCLUSION: The MuLBSTA scoring system is an easy to calculate model, which predicts the 14-day mortality risk because of SARS-CoV-2 infection. This may help the primary care physicians in stratifying and referring the patients who have a higher chance of developing severe complications. Wolters Kluwer - Medknow 2021-01 2021-01-30 /pmc/articles/PMC8132828/ /pubmed/34017730 http://dx.doi.org/10.4103/jfmpc.jfmpc_1766_20 Text en Copyright: © 2021 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Preetam, Mukul Anurag, Aditya MuLBSTA score in COVID-19 pneumonia and prediction of 14-day mortality risk: A study in an Indian cohort |
title | MuLBSTA score in COVID-19 pneumonia and prediction of 14-day mortality risk: A study in an Indian cohort |
title_full | MuLBSTA score in COVID-19 pneumonia and prediction of 14-day mortality risk: A study in an Indian cohort |
title_fullStr | MuLBSTA score in COVID-19 pneumonia and prediction of 14-day mortality risk: A study in an Indian cohort |
title_full_unstemmed | MuLBSTA score in COVID-19 pneumonia and prediction of 14-day mortality risk: A study in an Indian cohort |
title_short | MuLBSTA score in COVID-19 pneumonia and prediction of 14-day mortality risk: A study in an Indian cohort |
title_sort | mulbsta score in covid-19 pneumonia and prediction of 14-day mortality risk: a study in an indian cohort |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132828/ https://www.ncbi.nlm.nih.gov/pubmed/34017730 http://dx.doi.org/10.4103/jfmpc.jfmpc_1766_20 |
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