COVID-19 hastalarında hastane içi mortalitenin CHA₂DS₂VASc ve R₂CHA₂DS₂VASc skor tahmininin karşılaştırılması

Faruk Boyaci, M. Şahi̇n, Y.Bülent Boyaci, Ahmet Yanik, Gökhan Aksan
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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
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CHA₂DS₂VASc 和 R₂CHA₂DS₂VASc 评分预测 COVID-19 患者院内死亡率的比较
研究目的本研究旨在比较CHA₂DS₂VASc和R₂CHA₂DS₂VASc评分对COVID-19例患者的住院死亡率,并通过在CHA₂DS₂VASc和R₂CHA₂DS₂VASc评分中加入一些实验室参数,找到一种能更好预测住院死亡率的新评分系统。研究方法这是一项横断面研究。从 2020 年 9 月至 2021 年 3 月,共纳入了 1076 名经 COVID-19 PCR 检测确诊的 COVID-19 患者。记录了患者的年龄、性别、合并症、实验室、生存时间和死亡状况。计算每位患者的 CHA₂DS₂VASc 和 R₂CHA₂DS₂VASc 分数。通过逻辑回归分析建立了一个新的死亡率预测评分,包括实验室数值,以建立最有效的模型。结果在因 COVID-19 住院的 1076 名患者中,15.1% 的患者死亡,84.9% 的患者存活。两组患者在性别上无明显差异。死亡患者的所有并发症均明显高于存活者(p
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