Prediction of mortality with Charlson Comorbidity Index in super-elderly patients admitted to a tertiary referral hospital

Purpose: In most countries, there is an ever-increasing admission rate of the elderly population into emergency departments (EDs). In particular, these elderly patients differ from younger patients because they have multiple comorbidities that affect the functionality and quality of life. The goal of...

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Main Authors: Yavuz Beyazıt, Okhan Akdur, Coşkun Bakar, İmran Kankaya, Gökhan Akdur, Okan Bardakcı, Murat Daş
Format: Article
Language:English
Published: Cukurova University 2022-03-01
Series:Cukurova Medical Journal
Subjects:
Online Access:https://dergipark.org.tr/tr/download/article-file/2056052
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author Yavuz Beyazıt
Okhan Akdur
Coşkun Bakar
İmran Kankaya
Gökhan Akdur
Okan Bardakcı
Murat Daş
author_facet Yavuz Beyazıt
Okhan Akdur
Coşkun Bakar
İmran Kankaya
Gökhan Akdur
Okan Bardakcı
Murat Daş
author_sort Yavuz Beyazıt
collection DOAJ
description Purpose: In most countries, there is an ever-increasing admission rate of the elderly population into emergency departments (EDs). In particular, these elderly patients differ from younger patients because they have multiple comorbidities that affect the functionality and quality of life. The goal of this study is to reveal whether the Charlson comorbidity index (CCI) foresee the short- and long-term prognosis of the super-elderly patient population. Materials and Methods: The study was a descriptive, retrospective analysis of emergency department (ED) admissions by patients over 85 years of age and admitted to the Canakkale Onsekiz Mart University (COMU) Hospital between 2013 and 2018. The demographic data of the patients were analyzed according to CCI. Cox-regression analyses were conducted to determine whether the variables affected mortality. Results: A total of 1142 patients aged 85 and older (507 men, 635 women) with a mean age of 86.96±2.49 were included in the study. According to the multivariable Cox regression analysis male gender, CCI ≥6 and ICU admission were significantly associated with increased mortality rates Conclusion: The CCI predicts short and long-term prognosis in acutely ill, hospitalized super-elderly patients. The CCI could be used to select super-elderly patients at admission as an indicator of improvement at hospital discharge.
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spelling doaj.art-7edd6b3024214ed0ac32f034e9fe07702023-02-15T16:20:17ZengCukurova UniversityCukurova Medical Journal2602-30402022-03-0147119920710.17826/cumj.101716448Prediction of mortality with Charlson Comorbidity Index in super-elderly patients admitted to a tertiary referral hospitalYavuz Beyazıt0Okhan Akdur1Coşkun Bakar2İmran Kankaya3Gökhan Akdur4Okan Bardakcı5Murat Daş6CANAKKALE ONSEKIZ MART UNIVERSITY, SCHOOL OF MEDICINECANAKKALE ONSEKIZ MART UNIVERSITY, SCHOOL OF MEDICINECANAKKALE ONSEKIZ MART UNIVERSITY, SCHOOL OF MEDICINECANAKKALE ONSEKIZ MART UNIVERSITY, SCHOOL OF MEDICINECANAKKALE ONSEKIZ MART UNIVERSITY, SCHOOL OF MEDICINECANAKKALE ONSEKIZ MART UNIVERSITY, SCHOOL OF MEDICINECANAKKALE ONSEKIZ MART UNIVERSITY, SCHOOL OF MEDICINEPurpose: In most countries, there is an ever-increasing admission rate of the elderly population into emergency departments (EDs). In particular, these elderly patients differ from younger patients because they have multiple comorbidities that affect the functionality and quality of life. The goal of this study is to reveal whether the Charlson comorbidity index (CCI) foresee the short- and long-term prognosis of the super-elderly patient population. Materials and Methods: The study was a descriptive, retrospective analysis of emergency department (ED) admissions by patients over 85 years of age and admitted to the Canakkale Onsekiz Mart University (COMU) Hospital between 2013 and 2018. The demographic data of the patients were analyzed according to CCI. Cox-regression analyses were conducted to determine whether the variables affected mortality. Results: A total of 1142 patients aged 85 and older (507 men, 635 women) with a mean age of 86.96±2.49 were included in the study. According to the multivariable Cox regression analysis male gender, CCI ≥6 and ICU admission were significantly associated with increased mortality rates Conclusion: The CCI predicts short and long-term prognosis in acutely ill, hospitalized super-elderly patients. The CCI could be used to select super-elderly patients at admission as an indicator of improvement at hospital discharge.https://dergipark.org.tr/tr/download/article-file/2056052charlson komorbidite indeksiacil servishospitalizasyonmortalite80 ve üstü yaşcharlson comorbidity indexemergency departmenthospitalizationmortalityaged 80 and over
spellingShingle Yavuz Beyazıt
Okhan Akdur
Coşkun Bakar
İmran Kankaya
Gökhan Akdur
Okan Bardakcı
Murat Daş
Prediction of mortality with Charlson Comorbidity Index in super-elderly patients admitted to a tertiary referral hospital
Cukurova Medical Journal
charlson komorbidite indeksi
acil servis
hospitalizasyon
mortalite
80 ve üstü yaş
charlson comorbidity index
emergency department
hospitalization
mortality
aged 80 and over
title Prediction of mortality with Charlson Comorbidity Index in super-elderly patients admitted to a tertiary referral hospital
title_full Prediction of mortality with Charlson Comorbidity Index in super-elderly patients admitted to a tertiary referral hospital
title_fullStr Prediction of mortality with Charlson Comorbidity Index in super-elderly patients admitted to a tertiary referral hospital
title_full_unstemmed Prediction of mortality with Charlson Comorbidity Index in super-elderly patients admitted to a tertiary referral hospital
title_short Prediction of mortality with Charlson Comorbidity Index in super-elderly patients admitted to a tertiary referral hospital
title_sort prediction of mortality with charlson comorbidity index in super elderly patients admitted to a tertiary referral hospital
topic charlson komorbidite indeksi
acil servis
hospitalizasyon
mortalite
80 ve üstü yaş
charlson comorbidity index
emergency department
hospitalization
mortality
aged 80 and over
url https://dergipark.org.tr/tr/download/article-file/2056052
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