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Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country.
Mo, Liyi; Xie, Zhen; Liu, Guohui; He, Qiang; Mo, Zhiming; Wu, Yanhua; Wang, Wenji; Ding, Feng; Liao, Yuanjiang; Hao, Li; Lu, Chen; Sun, Jin; Xu, Libin; Zhang, Yusheng; Ghappar, Rizwangul; Peng, Hongwei; Wei, Xiaohong; Xie, Jinglie; Chen, Yuanhan; Liang, Xinling.
Affiliation
  • Mo L; Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.106 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
  • Xie Z; Department of Nephrology, Dongguan People's Hospital, Dongguan, 523018, China.
  • Liu G; Department of Dermatology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, 610072, China.
  • He Q; Department of Nephrology, Dongguan People's Hospital, Dongguan, 523018, China.
  • Mo Z; Department of Nephrology, Zhejiang Provincial People's Hospital (People's Hospital of Hangzhou Medical College), Hangzhou, 310014, China.
  • Wu Y; Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.106 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
  • Wang W; Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.106 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
  • Ding F; Division of Nephrology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200030, China.
  • Liao Y; Division of Nephrology, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200030, China.
  • Hao L; Department of Nephrology, Chongqing Ninth People's Hospital, Chongqing, 400700, China.
  • Lu C; Department of Nephrology, Second Hospital of Anhui Medical University, Hefei, 230601, China.
  • Sun J; Department of Nephrology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China.
  • Xu L; Department of Nephrology, Second Hospital of Jilin University, Changchun, 130022, China.
  • Zhang Y; Department of Nephrology, Inner Mongolia People's Hospital, Hohhot, 010017, China.
  • Ghappar R; Second Division of Internal Medicine, Wuhua People's Hospital, Meizhou, 514400, China.
  • Peng H; Department of Nephrology, First People's Hospital of Kashgar, Kashgar, 844000, China.
  • Wei X; People's Hospital of Wanning & The First Affiliated Hospital of Chongqing Medical Univesity, Wanning, 571500, China.
  • Xie J; Department of Nephrology, Chongzuo People's Hospital, Chongzuo, 844000, China.
  • Chen Y; Division of Nephrology, Guangdong Lufeng People's Hospital, Lufeng, 516500, China.
  • Liang X; Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No.106 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China. chenyuanhan@gdph.org.cn.
BMC Health Serv Res ; 20(1): 432, 2020 May 18.
Article in En | MEDLINE | ID: mdl-32423399
ABSTRACT

BACKGROUND:

The Charlson Comorbidity Index (CCI) can be automatically calculated from the International Classification of Disease (ICD) code. However, the feasibility of this transformation has not been acknowledged, particularly in hospitals without a qualified ICD coding system. Here, we investigated the utility of coding-based CCI in China.

METHODS:

A multi-center, population-based, retrospective observational study was conducted, using a dataset incorporating 2,464,395 adult subjects from 15 hospitals. CCI was calculated using both ICD-10-based and diagnosis-based method, according to the transformation rule reported previously and to the literal description from discharge diagnosis, respectively. A κ coefficient of variation was used as a measure of agreement between the above two methods for each hospital. The discriminative abilities of the two methods were compared using the receiver-of-operating characteristic curve (ROC) for prediction of in-hospital mortality.

RESULTS:

Total agreement between the ICD-based and diagnosis-based CCI for each index ranged from 86.1 to 100%, with κ coefficients from 0.210 [95% confidence interval (CI) 0.208-0.212] to 0.932 (95% CI 0.924-0.940). None of the 19 indices of CCI had a κ coefficient > 0.75 in all the hospitals included for study. The area under the curve of ROC for in-hospital mortality of all 15 hospitals was significantly lower for ICD-based than diagnosis-based CCI [0.735 (0.732, 0.739) vs 0.760 (0.757, 0.764)], indicative of more limited discriminative ability of the ICD-based calculation.

CONCLUSIONS:

CCI calculated using ICD-10 coding did not agree with diagnosis-based CCI. ICD-based CCI displayed diminished discrimination performance in terms of in-hospital mortality, indicating that this method is not promising for CCI scoring in China under the present circumstances.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Comorbidity / Clinical Coding / Hospitalization Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: BMC Health Serv Res Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2020 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Comorbidity / Clinical Coding / Hospitalization Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: BMC Health Serv Res Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2020 Document type: Article Affiliation country: China