Faruk Boyaci, M. Şahi̇n, Y.Bülent Boyaci, Ahmet Yanik, Gökhan Aksan
{"title":"COVID-19 hastalarında hastane içi mortalitenin CHA₂DS₂VASc ve R₂CHA₂DS₂VASc skor tahmininin karşılaştırılması","authors":"Faruk Boyaci, M. Şahi̇n, Y.Bülent Boyaci, Ahmet Yanik, Gökhan Aksan","doi":"10.18521/ktd.1282982","DOIUrl":null,"url":null,"abstract":"Objectives: This study aims to compare of CHA₂DS₂VASc and R₂CHA₂DS₂VASc score estimation of in-hospital mortality among COVID-19 patients and find a new scoring system that can better predict the hospital mortality by adding some laboratory parameters to the CHA₂DS₂VASc and R₂CHA₂DS₂VASc scores. \nMethods: This is a cross-sectional study. A total of 1076 COVID-19 patients with confirmed COVID-19 PCR tests were included from September 2020 to March 2021. Age, sex, comorbidity, laboratory, survival times, and death status of the patients were recorded. The scores CHA₂DS₂VASc and R₂CHA₂DS₂VASc of each patient were calculated. A new mortality prediction score was created to establish the most effective model with logistic regression analysis, including laboratory values. \nResults: Of the 1076 patients hospitalized for COVID-19, 15.1% died, while 84.9% survived. There was no significant difference between the two groups in sex. All comorbidities were significantly higher in the deceased than in the survivors (p","PeriodicalId":174708,"journal":{"name":"Konuralp Tıp Dergisi","volume":"52 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Konuralp Tıp Dergisi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18521/ktd.1282982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: This study aims to compare of CHA₂DS₂VASc and R₂CHA₂DS₂VASc score estimation of in-hospital mortality among COVID-19 patients and find a new scoring system that can better predict the hospital mortality by adding some laboratory parameters to the CHA₂DS₂VASc and R₂CHA₂DS₂VASc scores.
Methods: This is a cross-sectional study. A total of 1076 COVID-19 patients with confirmed COVID-19 PCR tests were included from September 2020 to March 2021. Age, sex, comorbidity, laboratory, survival times, and death status of the patients were recorded. The scores CHA₂DS₂VASc and R₂CHA₂DS₂VASc of each patient were calculated. A new mortality prediction score was created to establish the most effective model with logistic regression analysis, including laboratory values.
Results: Of the 1076 patients hospitalized for COVID-19, 15.1% died, while 84.9% survived. There was no significant difference between the two groups in sex. All comorbidities were significantly higher in the deceased than in the survivors (p