New COVID-19 Research Has Been Reported by Researchers at Korea University Anam Hospital (Blood Transfusion, All-Cause Mortality and Hospitalization Period in COVID-19 Patients: Machine Learning Analysis of National Health Insurance Claims Data): Coronavirus – COVID-19

2023 JAN 09 (NewsRx) -- By a News Reporter-Staff News Editor at Engineering Business Daily -- Research findings on COVID-19 are discussed in a new report. According to news reporting out of Seoul, South Korea, by NewsRx editors, research stated, “This study presents the most comprehensive machine-learning analysis for the predictors of blood transfusion, all-cause mortality, and hospitalization period in COVID-19 patients. Data came from Korea National Health Insurance claims data with 7943 COVID-19 patients diagnosed during November 2019-May 2020.”

Financial supporters for this research include Korea University Medical Center; Korea Health Industry Development Institute.

The news reporters obtained a quote from the research from Korea University Anam Hospital: “The dependent variables were all-cause mortality and the hospitalization period, and their 28 independent variables were considered. Random forest variable importance (GINI) was introduced for identifying the main factors of the dependent variables and evaluating their associations with these predictors, including blood transfusion. Based on the results of this study, blood transfusion had a positive association with all-cause mortality. The proportions of red blood cell, platelet, fresh frozen plasma, and cryoprecipitate transfusions were significantly higher in those with death than in those without death (* * p* * -values < 0.01). Likewise, the top ten factors of all-cause mortality based on random forest variable importance were the Charlson Comorbidity Index (53.54), age (45.68), socioeconomic status (45.65), red blood cell transfusion (27.08), dementia (19.27), antiplatelet (16.81), gender (14.60), diabetes mellitus (13.00), liver disease (11.19) and platelet transfusion (10.11). The top ten predictors of the hospitalization period were the Charlson Comorbidity Index, socioeconomic status, dementia, age, gender, hemiplegia, antiplatelet, diabetes mellitus, liver disease, and cardiovascular disease.”

According to the news editors, the research concluded: “In conclusion, comorbidity, red blood cell transfusion, and platelet transfusion were the major factors of all-cause mortality based on machine learning analysis. The effective management of these predictors is needed in COVID-19 patients.”

For more information on this research see: Blood Transfusion, All-Cause Mortality and Hospitalization Period in COVID-19 Patients: Machine Learning Analysis of National Health Insurance Claims Data. Diagnostics, 2022,12(2970):2970. (Diagnostics - http://www.mdpi.com/journal/diagnostics). The publisher for Diagnostics is MDPI AG.

A free version of this journal article is available at https://doi.org/10.3390/diagnostics12122970.

Our news journalists report that more information may be obtained by contacting Byung-Hyun Lee, Department of Internal Medicine, Korea University Anam Hospital, Seoul 02841, South Korea. Additional authors for this research include Kwang-Sig Lee, Hae-In Kim, Jae-Seung Jung, Hyeon-Ju Shin, Jong-Hoon Park, Soon-Cheol Hong, Ki Hoon Ahn.

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