Recalibration and validation of the Charlson Comorbidity Index in an Asian population: the National Health Insurance Service-National Sample Cohort study

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Recalibration and validation of the Charlson Comorbidity Index in an Asian population : the National Health Insurance Service-National Sample Cohort study. / Choi, Jae Shin; Kim, Myoung-Hee; Kim, Yong Chul; Lim, Youn-Hee; Bae, Hyun Joo; Kim, Dong Ki; Park, Jae Yoon; Noh, Junhyug; Lee, Jung Pyo.

I: Scientific Reports, Bind 10, Nr. 1, 13715, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Choi, JS, Kim, M-H, Kim, YC, Lim, Y-H, Bae, HJ, Kim, DK, Park, JY, Noh, J & Lee, JP 2020, 'Recalibration and validation of the Charlson Comorbidity Index in an Asian population: the National Health Insurance Service-National Sample Cohort study', Scientific Reports, bind 10, nr. 1, 13715. https://doi.org/10.1038/s41598-020-70624-8

APA

Choi, J. S., Kim, M-H., Kim, Y. C., Lim, Y-H., Bae, H. J., Kim, D. K., Park, J. Y., Noh, J., & Lee, J. P. (2020). Recalibration and validation of the Charlson Comorbidity Index in an Asian population: the National Health Insurance Service-National Sample Cohort study. Scientific Reports, 10(1), [13715]. https://doi.org/10.1038/s41598-020-70624-8

Vancouver

Choi JS, Kim M-H, Kim YC, Lim Y-H, Bae HJ, Kim DK o.a. Recalibration and validation of the Charlson Comorbidity Index in an Asian population: the National Health Insurance Service-National Sample Cohort study. Scientific Reports. 2020;10(1). 13715. https://doi.org/10.1038/s41598-020-70624-8

Author

Choi, Jae Shin ; Kim, Myoung-Hee ; Kim, Yong Chul ; Lim, Youn-Hee ; Bae, Hyun Joo ; Kim, Dong Ki ; Park, Jae Yoon ; Noh, Junhyug ; Lee, Jung Pyo. / Recalibration and validation of the Charlson Comorbidity Index in an Asian population : the National Health Insurance Service-National Sample Cohort study. I: Scientific Reports. 2020 ; Bind 10, Nr. 1.

Bibtex

@article{41f6c7830af04ab18613820953226c1c,
title = "Recalibration and validation of the Charlson Comorbidity Index in an Asian population: the National Health Insurance Service-National Sample Cohort study",
abstract = "Weights assigned to comorbidities in predicting mortality may vary based on the type of index disease and advances in the management of comorbidities. We aimed to develop a modified version of the Charlson Comorbidity Index (CCI) using an Asian nationwide database (mCCI-A), enabling the precise prediction of mortality rates in this population. The main data source used in this study was the National Health Insurance Service-National Sample Cohort (NHIS-NSC) obtained from the National Health Insurance database, which includes health insurance claims filed between January 1, 2002, and December 31, 2013, in Korea. Of the 1,025,340 individuals included in the NHIS-NSC, 570,716 patients who were hospitalized at least once were analyzed in this study. In total, 399,502 patients, accounting for 70% of the cohort, were assigned to the development cohort, and the remaining patients (n = 171,214) were assigned to the validation cohort. The mCCI-A scores were calculated by summing the weights assigned to individual comorbidities according to their relative prognostic significance determined by a multivariate Cox proportional hazard model. The modified index was validated in the same cohort. The Cox proportional hazard model provided reassigned severity weights for 17 comorbidities that significantly predicted mortality. Both the CCI and mCCI-A were correlated with mortality. However, compared with the CCI, the mCCI-A showed modest but significant increases in the c statistics. According to the analyses using continuous net reclassification improvement, the mCCI-A improved the net mortality risk reclassification by 44.0% (95% confidence intervals (CI), 41.6-46.5; p < 0.001). The mCCI-A facilitates better risk stratification of mortality rates in Korean inpatients than the CCI, suggesting that the mCCI-A may be a preferable index for use in clinical practice and statistical analyses in epidemiological studies.",
author = "Choi, {Jae Shin} and Myoung-Hee Kim and Kim, {Yong Chul} and Youn-Hee Lim and Bae, {Hyun Joo} and Kim, {Dong Ki} and Park, {Jae Yoon} and Junhyug Noh and Lee, {Jung Pyo}",
year = "2020",
doi = "10.1038/s41598-020-70624-8",
language = "English",
volume = "10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Recalibration and validation of the Charlson Comorbidity Index in an Asian population

T2 - the National Health Insurance Service-National Sample Cohort study

AU - Choi, Jae Shin

AU - Kim, Myoung-Hee

AU - Kim, Yong Chul

AU - Lim, Youn-Hee

AU - Bae, Hyun Joo

AU - Kim, Dong Ki

AU - Park, Jae Yoon

AU - Noh, Junhyug

AU - Lee, Jung Pyo

PY - 2020

Y1 - 2020

N2 - Weights assigned to comorbidities in predicting mortality may vary based on the type of index disease and advances in the management of comorbidities. We aimed to develop a modified version of the Charlson Comorbidity Index (CCI) using an Asian nationwide database (mCCI-A), enabling the precise prediction of mortality rates in this population. The main data source used in this study was the National Health Insurance Service-National Sample Cohort (NHIS-NSC) obtained from the National Health Insurance database, which includes health insurance claims filed between January 1, 2002, and December 31, 2013, in Korea. Of the 1,025,340 individuals included in the NHIS-NSC, 570,716 patients who were hospitalized at least once were analyzed in this study. In total, 399,502 patients, accounting for 70% of the cohort, were assigned to the development cohort, and the remaining patients (n = 171,214) were assigned to the validation cohort. The mCCI-A scores were calculated by summing the weights assigned to individual comorbidities according to their relative prognostic significance determined by a multivariate Cox proportional hazard model. The modified index was validated in the same cohort. The Cox proportional hazard model provided reassigned severity weights for 17 comorbidities that significantly predicted mortality. Both the CCI and mCCI-A were correlated with mortality. However, compared with the CCI, the mCCI-A showed modest but significant increases in the c statistics. According to the analyses using continuous net reclassification improvement, the mCCI-A improved the net mortality risk reclassification by 44.0% (95% confidence intervals (CI), 41.6-46.5; p < 0.001). The mCCI-A facilitates better risk stratification of mortality rates in Korean inpatients than the CCI, suggesting that the mCCI-A may be a preferable index for use in clinical practice and statistical analyses in epidemiological studies.

AB - Weights assigned to comorbidities in predicting mortality may vary based on the type of index disease and advances in the management of comorbidities. We aimed to develop a modified version of the Charlson Comorbidity Index (CCI) using an Asian nationwide database (mCCI-A), enabling the precise prediction of mortality rates in this population. The main data source used in this study was the National Health Insurance Service-National Sample Cohort (NHIS-NSC) obtained from the National Health Insurance database, which includes health insurance claims filed between January 1, 2002, and December 31, 2013, in Korea. Of the 1,025,340 individuals included in the NHIS-NSC, 570,716 patients who were hospitalized at least once were analyzed in this study. In total, 399,502 patients, accounting for 70% of the cohort, were assigned to the development cohort, and the remaining patients (n = 171,214) were assigned to the validation cohort. The mCCI-A scores were calculated by summing the weights assigned to individual comorbidities according to their relative prognostic significance determined by a multivariate Cox proportional hazard model. The modified index was validated in the same cohort. The Cox proportional hazard model provided reassigned severity weights for 17 comorbidities that significantly predicted mortality. Both the CCI and mCCI-A were correlated with mortality. However, compared with the CCI, the mCCI-A showed modest but significant increases in the c statistics. According to the analyses using continuous net reclassification improvement, the mCCI-A improved the net mortality risk reclassification by 44.0% (95% confidence intervals (CI), 41.6-46.5; p < 0.001). The mCCI-A facilitates better risk stratification of mortality rates in Korean inpatients than the CCI, suggesting that the mCCI-A may be a preferable index for use in clinical practice and statistical analyses in epidemiological studies.

U2 - 10.1038/s41598-020-70624-8

DO - 10.1038/s41598-020-70624-8

M3 - Journal article

C2 - 32792552

VL - 10

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 13715

ER -

ID: 247336008