Charlson comorbidity index derived from chart review or administrative data: agreement and prediction of mortality in intensive care patients

被引:106
|
作者
Stavem, Knut [1 ,2 ,3 ]
Hoel, Henrik [4 ]
Skjaker, Stein Arve [5 ]
Haagensen, Rolf [6 ]
机构
[1] Univ Oslo, Inst Clin Med, Div Med & Lab Sci AHUSKIL, Campus Ahus, Oslo, Norway
[2] Akershus Univ Hosp, Div Med, Dept Pulm Med, Lorenskog, Norway
[3] Akershus Univ Hosp, Hlth Serv Res Unit, Sykehusveien 25, N-1478 Lorenskog, Norway
[4] Sykehuset Innlandet Kongsvinger, Dept Surg, Kongsvinger, Norway
[5] Oslo Univ Hosp, Sect Orthopaed Emergency, Dept Orthopaed Surg, Oslo, Norway
[6] Akershus Univ Hosp, Div Surg, Dept Anaesthesiol, Lorenskog, Norway
来源
CLINICAL EPIDEMIOLOGY | 2017年 / 9卷
关键词
epidemiology; Charlson comorbidity index; intensive care unit; comorbidity; mortality; SAPS II; case-mix adjustment; agreement; calibration; discrimination; prediction; CRITICALLY-ILL PATIENTS; ACUTE PHYSIOLOGY SCORE; HOSPITAL MORTALITY; RISK ADJUSTMENT; CLINICAL-DATA; CO-MORBIDITY; ICD-9-CM; OUTCOMES; DATABASES; ELIXHAUSER;
D O I
10.2147/CLEP.S133624
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose: This study compared the Charlson comorbidity index (CCI) information derived from chart review and administrative systems to assess the completeness and agreement between scores, evaluate the capacity to predict 30-day and 1-year mortality in intensive care unit (ICU) patients, and compare the predictive capacity with that of the Simplified Acute Physiology Score (SAPS) II model. Patients and methods: Using data from 959 patients admitted to a general ICU in a Norwegian university hospital from 2007 to 2009, we compared the CCI score derived from chart review and administrative systems. Agreement was assessed using % agreement, kappa, and weighted kappa. The capacity to predict 30-day and 1-year mortality was assessed using logistic regression, model discrimination with the c-statistic, and calibration with a goodness-of-fit statistic. Results: The CCI was complete (n= 959) when calculated from chart review, but less complete from administrative data (n= 839). Agreement was good, with a weighted kappa of 0.667 (95% confidence interval: 0.596-0.714). The c-statistics for categorized CCI scores from charts and administrative data were similar in the model that included age, sex, and type of admission: 0.755 and 0.743 for 30-day mortality, respectively, and 0.783 and 0.775, respectively, for 1-year mortality. Goodness-of-fit statistics supported the model fit. Conclusion: The CCI scores from chart review and administrative data showed good agreement and predicted 30-day and 1-year mortality in ICU patients. CCI combined with age, sex,
引用
收藏
页码:311 / 320
页数:10
相关论文
共 50 条
  • [31] The agreement between chronic diseases reported by patients and derived from administrative data in patients undergoing joint arthroplasty
    Bélène Podmore
    Andrew Hutchings
    Sujith Konan
    Jan van der Meulen
    BMC Medical Research Methodology, 19
  • [32] Robust Prediction of Patient Mortality from 48 Hour Intensive Care Unit Data
    Di Marco, Luigi Yuri
    Bojarnejad, Marjan
    King, Susan T.
    Duan, Wenfeng
    Di Maria, Costanzo
    Zheng, Dingchang
    Murray, Alan
    Langley, Philip
    2012 COMPUTING IN CARDIOLOGY (CINC), VOL 39, 2012, 39 : 477 - 480
  • [33] Co-morbidity data in outcomes research - Are clinical data derived from administrative databases a reliable alternative to chart review?
    Humphries, KH
    Rankin, JM
    Carere, RG
    Buller, CE
    Kiely, FM
    Spinelli, JJ
    JOURNAL OF CLINICAL EPIDEMIOLOGY, 2000, 53 (04) : 343 - 349
  • [34] Optimizing Prediction of In-Hospital Mortality in Elderly Patients With Acute Myocardial Infarction: A Nomogram Approach Using the Age-Adjusted Charlson Comorbidity Index Score
    Lin, He
    Xi, Ying-Bin
    Yang, Zhi-Cheng
    Tong, Zhou-Jie
    Jiang, Guihua
    Gao, Jihong
    Kang, Baoxu
    Ma, Ying
    Zhang, Wei
    Wang, Zhi-Hao
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2024, 13 (14):
  • [35] Addition of 25-hydroxyvitamin D levels to the Deyo-Charlson Comorbidity Index improves 90-day mortality prediction in critically ill patients
    Mahato B.
    Otero T.M.N.
    Holland C.A.
    Giguere P.T.
    Bajwa E.K.
    Camargo C.A., Jr.
    Quraishi S.A.
    Journal of Intensive Care, 4 (1)
  • [36] 30-day mortality in patients after hip fracture surgery: A comparison of the Charlson Comorbidity Index score and ASA score used in two prediction models
    Haugan, Kristin
    Klaksvik, Jomar
    Foss, Olav A.
    INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 2021, 52 (08): : 2379 - 2383
  • [37] The APACHE II measured on patients' discharge from the Intensive Care Unit in the prediction of mortality
    dos Santos Cardoso, Luciana Gonzaga
    Chiavone, Paulo Antonio
    REVISTA LATINO-AMERICANA DE ENFERMAGEM, 2013, 21 (03): : 811 - 819
  • [38] AGREEMENT BETWEEN COMMONLY APPLIED MORTALITY PREDICTION MODELS FOR MEDICAL INTENSIVE CARE PATIENTS IN A LARGE ACADEMIC MEDICAL CENTER SETTING
    Hixson, Eric
    Guzman, Jorge
    CRITICAL CARE MEDICINE, 2010, 38 (12) : U5 - U5
  • [39] AGREEMENT BETWEEN CLINICAL AND ADMINISTRATIVE RISK PREDICTION MODELS FOR INTENSIVE CARE PATIENTS; APACHE IVA VS. UNIVERSITY HEALTHSYSTEM CONSORTIUM (UHC)
    Hixson, Eric
    Menon, Venu
    Hanna, Mazen
    Manno, Edward
    Popovich, Marc
    Guzman, Jorge
    CRITICAL CARE MEDICINE, 2012, 40 (12) : U27 - U27
  • [40] Mortality Prediction in Cardiac Intensive Care Unit Patients: A Systematic Review of Existing and Artificial Intelligence Augmented Approaches
    Rafie, Nikita
    Jentzer, Jacob C.
    Noseworthy, Peter A.
    Kashou, Anthony H.
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2022, 5