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Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience
OBJECTIVE: To evaluate the applicability of modified early warning (MEWS) Score for prediction of hospital outcomes of medical emergency patients. DESIGN: Prospective hospital based observational study. SETTING: A tertiary care level medicine emergency unit in a medical college of North India. STUDY...
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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/PMC8132807/ https://www.ncbi.nlm.nih.gov/pubmed/34017725 http://dx.doi.org/10.4103/jfmpc.jfmpc_1426_20 |
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author | Bhatnagar, Mini Sirohi, Nikita Dubey, Aruna Bhagat |
author_facet | Bhatnagar, Mini Sirohi, Nikita Dubey, Aruna Bhagat |
author_sort | Bhatnagar, Mini |
collection | PubMed |
description | OBJECTIVE: To evaluate the applicability of modified early warning (MEWS) Score for prediction of hospital outcomes of medical emergency patients. DESIGN: Prospective hospital based observational study. SETTING: A tertiary care level medicine emergency unit in a medical college of North India. STUDY POPULATION: 300 Patients admitted in medicine emergency. METHOD: Patients of both sexes of age more than 18 years who were admitted in medical emergency unit at MMIMSR, Ambala were evaluated. Patients who were in cardiac arrest at arrival and those who died within the first 24 hours were excluded and 300 patients were included. Modified Early Warning Score based on physiological parameters was recorded at admission for each patient and monitored over the next 24 hours in the emergency unit. Hospital outcome of the patient in terms of mortality, need for critical care, prolonged stay and uneventful discharge were recorded and correlated with MEWS scores over the first 24 hours in the emergency unit. Receiver Operating Characteristic (ROC) curves was generated to evaluate the utility of MEWS as a tool to predict patient outcome in medical emergency setting. RESULT: Of the 300 patients studied, the mean age of patients was 49 years, and the majority of the patients were male (61%). A MEWS Score of >5 at 24 hours of admission was associated significantly with in-hospital mortality of patients (p < 0.0001). The ROC (Receiver Operator Characteristic) curve revealed that in those patients who had a 24 hours MEWS >/= 5, the area under curve was (AUC) = 0.9. (95% CI: 0.95-0.98). Thus, MEWS was an effective predictor of in hospital mortality with sensitivity (78%) and specificity (94%). CONCLUSION: MEWS, a scoring system based on easily recordable physiological parameters can be used as an effective tool to triage and monitor patients in medical emergency units, to identify patients who are at greater risk of clinical deterioration and need close monitoring or early transfer for critical care or other timely interventions. Thus, application of MEWS in medical emergency units can be a useful tool to improve patient care, ensure optimal utilization of resources and prevent inappropriate discharge or neglect of sick patients. |
format | Online Article Text |
id | pubmed-8132807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-81328072021-05-19 Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience Bhatnagar, Mini Sirohi, Nikita Dubey, Aruna Bhagat J Family Med Prim Care Original Article OBJECTIVE: To evaluate the applicability of modified early warning (MEWS) Score for prediction of hospital outcomes of medical emergency patients. DESIGN: Prospective hospital based observational study. SETTING: A tertiary care level medicine emergency unit in a medical college of North India. STUDY POPULATION: 300 Patients admitted in medicine emergency. METHOD: Patients of both sexes of age more than 18 years who were admitted in medical emergency unit at MMIMSR, Ambala were evaluated. Patients who were in cardiac arrest at arrival and those who died within the first 24 hours were excluded and 300 patients were included. Modified Early Warning Score based on physiological parameters was recorded at admission for each patient and monitored over the next 24 hours in the emergency unit. Hospital outcome of the patient in terms of mortality, need for critical care, prolonged stay and uneventful discharge were recorded and correlated with MEWS scores over the first 24 hours in the emergency unit. Receiver Operating Characteristic (ROC) curves was generated to evaluate the utility of MEWS as a tool to predict patient outcome in medical emergency setting. RESULT: Of the 300 patients studied, the mean age of patients was 49 years, and the majority of the patients were male (61%). A MEWS Score of >5 at 24 hours of admission was associated significantly with in-hospital mortality of patients (p < 0.0001). The ROC (Receiver Operator Characteristic) curve revealed that in those patients who had a 24 hours MEWS >/= 5, the area under curve was (AUC) = 0.9. (95% CI: 0.95-0.98). Thus, MEWS was an effective predictor of in hospital mortality with sensitivity (78%) and specificity (94%). CONCLUSION: MEWS, a scoring system based on easily recordable physiological parameters can be used as an effective tool to triage and monitor patients in medical emergency units, to identify patients who are at greater risk of clinical deterioration and need close monitoring or early transfer for critical care or other timely interventions. Thus, application of MEWS in medical emergency units can be a useful tool to improve patient care, ensure optimal utilization of resources and prevent inappropriate discharge or neglect of sick patients. Wolters Kluwer - Medknow 2021-01 2021-01-30 /pmc/articles/PMC8132807/ /pubmed/34017725 http://dx.doi.org/10.4103/jfmpc.jfmpc_1426_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 Bhatnagar, Mini Sirohi, Nikita Dubey, Aruna Bhagat Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience |
title | Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience |
title_full | Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience |
title_fullStr | Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience |
title_full_unstemmed | Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience |
title_short | Prediction of hospital outcome in emergency medical admissions using modified early warning score (MEWS): Indian experience |
title_sort | prediction of hospital outcome in emergency medical admissions using modified early warning score (mews): indian experience |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132807/ https://www.ncbi.nlm.nih.gov/pubmed/34017725 http://dx.doi.org/10.4103/jfmpc.jfmpc_1426_20 |
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