Cargando…

APACHE scoring as an indicator of mortality rate in ICU patients: a cohort study

Predictive scoring systems are tools that assess the magnitude of a patient’s illness and forecast disease prognosis, usually in the form of mortality, in the ICU. We aimed to determine the mortality rate among patients admitted to ICU using the Acute Physiology and Chronic Health Evaluation II (APA...

Descripción completa

Detalles Bibliográficos
Autores principales: Mumtaz, Hassan, Ejaz, Muhammad K., Tayyab, Muhammad, Vohra, Laiba I., Sapkota, Shova, Hasan, Mohammad, Saqib, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060092/
https://www.ncbi.nlm.nih.gov/pubmed/37008173
http://dx.doi.org/10.1097/MS9.0000000000000264
_version_ 1785017034033070080
author Mumtaz, Hassan
Ejaz, Muhammad K.
Tayyab, Muhammad
Vohra, Laiba I.
Sapkota, Shova
Hasan, Mohammad
Saqib, Muhammad
author_facet Mumtaz, Hassan
Ejaz, Muhammad K.
Tayyab, Muhammad
Vohra, Laiba I.
Sapkota, Shova
Hasan, Mohammad
Saqib, Muhammad
author_sort Mumtaz, Hassan
collection PubMed
description Predictive scoring systems are tools that assess the magnitude of a patient’s illness and forecast disease prognosis, usually in the form of mortality, in the ICU. We aimed to determine the mortality rate among patients admitted to ICU using the Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system correlating with lengths of stay in the ICU. METHODOLOGY: A cohort study using team approach to care was conducted from July 2021 through July 2022 at KRL Hospital. Five hundred fifty-two patients aged 18–40 years, admitted for medical or surgical reasons (other than cardiac) who stayed in the ICU for more than 24 h were included. The APACHE II score was determined using 12 physiological variables at the end of the first 24 h of ICU admission. Data were analyzed using IBM Corp. released in 2015 (IBM SPSS Statistics for Windows, Version 23.0, Armonk, New York). RESULTS: The average age of study participants was 36.34±2.77, ranging from 18 to 40 years. Three hundred fifteen participants were males and 237 were females. Patients were categorized into four separate groups as per their respective APACHE II scores. Patients with an APACHE II score of 31–40 were assigned to group 1. Patients with an APACHE II score of 21–30 were assigned to group 2. Patients with an APACHE II score of 11–20 were assigned to group 3. Lastly, patients with an APACHE II score of 3–10 were assigned to group 4. All patients in group 1 and group 2 died and none survived. Groups 1 and 2 contained a sum of 228 patients. A total of 123 patients were assigned to group 3, out of which 88 patients (71.54%) survived and 35 patients (28.45%) died. From these observations, it is evident that a higher APACHE II score is correlated with increased mortality. CONCLUSION: APACHE II scoring serves as an early warning indication of death and prompts clinicians to upgrade their treatment protocol. This makes it a useful tool for the clinical prediction of ICU mortality.
format Online
Article
Text
id pubmed-10060092
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-100600922023-03-30 APACHE scoring as an indicator of mortality rate in ICU patients: a cohort study Mumtaz, Hassan Ejaz, Muhammad K. Tayyab, Muhammad Vohra, Laiba I. Sapkota, Shova Hasan, Mohammad Saqib, Muhammad Ann Med Surg (Lond) Original Research Predictive scoring systems are tools that assess the magnitude of a patient’s illness and forecast disease prognosis, usually in the form of mortality, in the ICU. We aimed to determine the mortality rate among patients admitted to ICU using the Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system correlating with lengths of stay in the ICU. METHODOLOGY: A cohort study using team approach to care was conducted from July 2021 through July 2022 at KRL Hospital. Five hundred fifty-two patients aged 18–40 years, admitted for medical or surgical reasons (other than cardiac) who stayed in the ICU for more than 24 h were included. The APACHE II score was determined using 12 physiological variables at the end of the first 24 h of ICU admission. Data were analyzed using IBM Corp. released in 2015 (IBM SPSS Statistics for Windows, Version 23.0, Armonk, New York). RESULTS: The average age of study participants was 36.34±2.77, ranging from 18 to 40 years. Three hundred fifteen participants were males and 237 were females. Patients were categorized into four separate groups as per their respective APACHE II scores. Patients with an APACHE II score of 31–40 were assigned to group 1. Patients with an APACHE II score of 21–30 were assigned to group 2. Patients with an APACHE II score of 11–20 were assigned to group 3. Lastly, patients with an APACHE II score of 3–10 were assigned to group 4. All patients in group 1 and group 2 died and none survived. Groups 1 and 2 contained a sum of 228 patients. A total of 123 patients were assigned to group 3, out of which 88 patients (71.54%) survived and 35 patients (28.45%) died. From these observations, it is evident that a higher APACHE II score is correlated with increased mortality. CONCLUSION: APACHE II scoring serves as an early warning indication of death and prompts clinicians to upgrade their treatment protocol. This makes it a useful tool for the clinical prediction of ICU mortality. Lippincott Williams & Wilkins 2023-03-24 /pmc/articles/PMC10060092/ /pubmed/37008173 http://dx.doi.org/10.1097/MS9.0000000000000264 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Research
Mumtaz, Hassan
Ejaz, Muhammad K.
Tayyab, Muhammad
Vohra, Laiba I.
Sapkota, Shova
Hasan, Mohammad
Saqib, Muhammad
APACHE scoring as an indicator of mortality rate in ICU patients: a cohort study
title APACHE scoring as an indicator of mortality rate in ICU patients: a cohort study
title_full APACHE scoring as an indicator of mortality rate in ICU patients: a cohort study
title_fullStr APACHE scoring as an indicator of mortality rate in ICU patients: a cohort study
title_full_unstemmed APACHE scoring as an indicator of mortality rate in ICU patients: a cohort study
title_short APACHE scoring as an indicator of mortality rate in ICU patients: a cohort study
title_sort apache scoring as an indicator of mortality rate in icu patients: a cohort study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060092/
https://www.ncbi.nlm.nih.gov/pubmed/37008173
http://dx.doi.org/10.1097/MS9.0000000000000264
work_keys_str_mv AT mumtazhassan apachescoringasanindicatorofmortalityrateinicupatientsacohortstudy
AT ejazmuhammadk apachescoringasanindicatorofmortalityrateinicupatientsacohortstudy
AT tayyabmuhammad apachescoringasanindicatorofmortalityrateinicupatientsacohortstudy
AT vohralaibai apachescoringasanindicatorofmortalityrateinicupatientsacohortstudy
AT sapkotashova apachescoringasanindicatorofmortalityrateinicupatientsacohortstudy
AT hasanmohammad apachescoringasanindicatorofmortalityrateinicupatientsacohortstudy
AT saqibmuhammad apachescoringasanindicatorofmortalityrateinicupatientsacohortstudy