Development and validation of novel simple prognostic model for predicting mortality in Korean intensive care units using national insurance claims data
| Title: | Development and validation of novel simple prognostic model for predicting mortality in Korean intensive care units using national insurance claims data |
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| Authors: | Ah Young Leem, Soyul Han, Kyung Soo Chung, Su Hwan Lee, Moo Suk Park, Bora Lee, Young Sam Kim |
| Source: | The Korean Journal of Internal Medicine, Vol 39, Iss 4, Pp 625-639 (2024) |
| Publisher Information: | The Korean Association of Internal Medicine, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Medicine |
| Subject Terms: | intensive care unit, health insurance review and assessment service, in-hospital mortality, intensive care unit mortality, Medicine |
| More Details: | Background/Aims Intensive care unit (ICU) quality is largely determined by the mortality rate. Therefore, we aimed to develop and validate a novel prognostic model for predicting mortality in Korean ICUs, using national insurance claims data. Methods Data were obtained from the health insurance claims database maintained by the Health Insurance Review and Assessment Service of South Korea. From patients who underwent the third ICU adequacy evaluation, 42,489 cases were enrolled and randomly divided into the derivation and validation cohorts. Using the models derived from the derivation cohort, we analyzed whether they accurately predicted death in the validation cohort. The models were verified using data from one general and two tertiary hospitals. Results Two severity correction models were created from the derivation cohort data, by applying variables selected through statistical analysis, through clinical consensus, and from performing multiple logistic regression analysis. Model 1 included six categorical variables (age, sex, Charlson comorbidity index, ventilator use, hemodialysis or continuous renal replacement therapy, and vasopressor use). Model 2 additionally included presence/absence of ICU specialists and nursing grades. In external validation, the performance of models 1 and 2 for predicting in-hospital and ICU mortality was not inferior to that of pre-existing scoring systems. Conclusions The novel and simple models could predict in-hospital and ICU mortality and were not inferior compared to the pre-existing scoring systems. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1226-3303 2005-6648 |
| Relation: | http://www.kjim.org/upload/kjim-2022-311.pdf; https://doaj.org/toc/1226-3303; https://doaj.org/toc/2005-6648 |
| DOI: | 10.3904/kjim.2022.311 |
| Access URL: | https://doaj.org/article/ade3702ec01341db934fc364f83b9e61 |
| Accession Number: | edsdoj.3702ec01341db934fc364f83b9e61 |
| Database: | Directory of Open Access Journals |
| ISSN: | 12263303 20056648 |
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| DOI: | 10.3904/kjim.2022.311 |
| Published in: | The Korean Journal of Internal Medicine |
| Language: | English |