Combining the Hospital Frailty Risk Score With the Charlson and Elixhauser Multimorbidity Indices to Identify Older Patients at Risk of Poor Outcomes in Acute Care

被引:3
|
作者
Gilbert, Thomas [1 ,2 ,6 ]
Cordier, Quentin [3 ]
Polazzi, Stephanie [2 ,3 ]
Street, Andrew [4 ]
Conroy, Simon [5 ]
Duclos, Antoine [2 ,3 ]
机构
[1] Lyon Univ Hosp, Hosp Civils Lyon, Grp Hosp Sud, Dept Geriatr Med, Lyon, France
[2] Univ Claude Bernard Lyon 1, Res Healthcare Profess & Performance RESHAPE, Inserm U1290, Lyon, France
[3] Hosp Civils Lyon, Hlth Data Dept, Lyon, France
[4] London Sch Econ, Dept Hlth Policy, London, England
[5] UCL, MRC Unit Lifelong Hlth & Ageing, London, England
[6] Hosp Civils Lyon, Grp Hosp Sud, Serv Med Geriatr, F-69495 Pierre Benite, France
关键词
comorbidity; frailty; statistics and numerical data; mortality; length of stay; COMORBIDITY INDEX; HEALTH-CARE; MORBIDITY; MORTALITY; ICD-9-CM;
D O I
10.1097/MLR.0000000000001962
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective: The Hospital Frailty Risk Score (HFRS) can be applied to medico-administrative datasets to determine the risks of 30-day mortality and long length of stay (LOS) in hospitalized older patients. The objective of this study was to compare the HFRS with Charlson and Elixhauser comorbidity indices, used separately or combined.Design: A retrospective analysis of the French medical information database. The HFRS, Charlson index, and Elixhauser index were calculated for each patient based on the index stay and hospitalizations over the preceding 2 years. Different constructions of the HFRS were considered based on overlapping diagnostic codes with either Charlson or Elixhauser indices. We used mixed logistic regression models to investigate the association between outcomes, different constructions of HFRS, and associations with comorbidity indices.Setting: 743 hospitals in France.Participants: All patients aged 75 years or older hospitalized as an emergency in 2017 (n=1,042,234). Main outcome measures: 30-day inpatient mortality and LOS >10 days.Participants: All patients aged 75 years or older hospitalized as an emergency in 2017 (n=1,042,234). Main outcome measures: 30-day inpatient mortality and LOS >10 days.Results: The HFRS, Charlson, and Elixhauser indices were comparably associated with an increased risk of 30-day inpatient mortality and long LOS. The combined model with the highest c-statistic was obtained when associating the HFRS with standard adjustment and Charlson for 30-day inpatient mortality (adjusted c-statistics: HFRS=0.654; HFRS + Charlson = 0.676) and with Elixhauser for long LOS (adjusted c-statistics: HFRS= 0.672; HFRS + Elixhauser =0.698).Conclusions: Combining comorbidity indices and HFRS may improve discrimination for predicting long LOS in hospitalized older people, but adds little to Charlson's 30-day inpatient mortality risk.
引用
收藏
页码:117 / 124
页数:8
相关论文
共 50 条
  • [1] The Hospital Frailty Risk Score Predicts Poor Prognoses in Middle-Aged and Older Patients With Acute Pancreatitis
    Shimizu, Akio
    Tsuguma, Yuma
    Sakata, Saya
    Ito, Mako
    Okada, Natsumi
    Asai, Wakana
    Ushida, Kenta
    Tameda, Masahiko
    Momosaki, Ryo
    PANCREAS, 2023, 52 (04) : E249 - E255
  • [2] Laboratory-based Intermountain Risk Score Compared to The Charlson and Elixhauser Comorbidity Indices for Mortality Prediction
    Horne, Benjamin D.
    Snow, Gregory L.
    Butler, Allison
    Wilson, Emily L.
    Rea, Susan
    Majercik, Sarah
    Anderson, Jeffrey L.
    Bledsoe, Joseph
    CIRCULATION, 2019, 140
  • [3] Charlson and Elixhauser Comorbidity Indices for Prediction of Mortality and Hospital Readmission in Patients With Acute Pulmonary Embolism
    O'Hara, Alexander
    Pozin, Jacob
    Abourahma, Mohammed
    Gigstad, Ryan
    Torres, Danny
    Knapp, Benji
    Kantarcioglu, Bulent
    Fareed, Jawed
    Darki, Amir
    CLINICAL AND APPLIED THROMBOSIS-HEMOSTASIS, 2024, 30
  • [4] Predicting outcomes in older patients undergoing vascular surgery using the Hospital Frailty Risk Score
    Aitken, S. J.
    Lujic, S.
    Randall, D. A.
    Noguchi, N.
    Naganathan, V.
    Blyth, F. M.
    BRITISH JOURNAL OF SURGERY, 2021, 108 (06) : 659 - 666
  • [5] Frailty-aware surgical care: Validation of Hospital Frailty Risk Score (HFRS) in older surgical patients
    Min, Christine Chau Shi
    En, Samuel Ee Cheng
    Huang, Xiaoting
    Shyan, Siow Wei
    Hua, Michelle Tan Bee
    Ru, Sarah Sim Kher
    Yu, Chang Ting
    Meng, Kwok Kah
    Kangqi, Ng
    Fang, Yeo Li
    Lim, Aileen
    Euphemia, Lydia
    Conroy, Simon
    Rosario, Barbara Helen
    ANNALS ACADEMY OF MEDICINE SINGAPORE, 2024, 53 (02) : 90 - 100
  • [6] The Hospital Frailty Risk Score in older patients with cardiologic and nephrologic conditions
    Juergens, Nadine
    Pickert, Lena
    Meyer, Anna Maria
    Becker, Ingrid
    Werner, Cornelius
    Baldus, Stephan
    Benzing, Thomas
    Pfister, Roman
    Friedrich, Christoph
    Nelles, Maria Cristina Polidori
    INNERE MEDIZIN, 2024, 65 : S57 - S57
  • [7] Prevalence of frailty according to the Hospital Frailty Risk Score and related factors in older patients with acute coronary syndromes in Vietnam
    Nguyen, Tan Van
    Tran, Huy Minh
    Trinh, Ha Bich Thi
    Vu, Vu Hoang
    Bang, Vien Ai
    AUSTRALASIAN JOURNAL ON AGEING, 2024, 43 (02) : 288 - 296
  • [8] A Commentary on 'Predicting outcomes in older patients undergoing vascular surgery using the Hospital Frailty Risk Score'
    Gujjuri, Rohan R.
    Gupta, Shubham
    Kawka, Michal
    Khan, Sikandar
    BRITISH JOURNAL OF SURGERY, 2021, 108 (02) : E95 - E95
  • [9] Modified hospital frailty risk score (mHFRS) as a tool to identify frail hospitalised older adults
    Rosario, B. H.
    Sim, L. E.
    Lim, A.
    Selvaratnam, T.
    Chang, T. Y.
    Conroy, S.
    AGE AND AGEING, 2024, 53 : 29 - 29
  • [10] The hospital frailty risk score (HFRS) predicts complications in older surgical patients
    Harvey, Lara
    Toson, Barbara
    Norris, Christina
    Harris, Ian
    Gandy, Robert
    Close, Jacqueline
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2021, 50 : 96 - 96