Simple prediction tools for disease progression in unvaccinated patients with mild/moderate COVID-19 aged under 65 years: Simplified DOATS and DOAT scores

IF 2.4 Q2 RESPIRATORY SYSTEM Respiratory investigation Pub Date : 2024-05-22 DOI:10.1016/j.resinv.2024.05.006
Yoko Shibata , Hiroyuki Minemura , Yasuhito Suzuki , Takefumi Nikaido , Yoshinori Tanino , Mami Rikimaru , Takaya Kawamata , Ryuichi Togawa , Yuki Sato , Junpei Saito , Kenya Kanazawa , Ken Iseki
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Abstract

DOATS score and DOAT score, COVID-19 progression prediction tools we have developed, utilize clinical information such as presence of diabetes/obesity (DO), age (A), body temperature (T), and oxygen saturation (S). They showed good predictive power, but their scoring calculation was slightly complex, leading us to develop simplified versions. This report discusses the ability of the simplified versions to assess deterioration risk in unvaccinated, mild/moderate COVID-19 patients aged <65 years. Logistic regression analysis identified independent risk factors for deterioration, to which points were assigned in order to derive overall prediction scores. The simplified versions showed high discriminating power, with the areas under the receiver operating characteristic curve for DOATS and DOAT being 0.79 and 0.77, respectively, indicating their clinical utility. Although the original versions have a slightly higher predictive power, the new versions are easier to use in emergency situations; thus, importantly, selecting the appropriate version depends on the situation.

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65 岁以下未接种疫苗的轻度/中度 COVID-19 患者疾病进展的简单预测工具:简化的 DOATS 和 DOAT 评分
DOATS 评分和 DOAT 评分是我们开发的 COVID-19 进展预测工具,利用了糖尿病/肥胖(DO)、年龄(A)、体温(T)和血氧饱和度(S)等临床信息。这些工具显示出良好的预测能力,但其评分计算略显复杂,因此我们开发了简化版本。本报告讨论了简化版本评估未接种疫苗、轻度/中度 COVID-19 患者病情恶化风险的能力。逻辑回归分析确定了导致病情恶化的独立风险因素,并为这些因素赋分,以得出总体预测分数。简化版本显示出很高的分辨能力,DOATS 和 DOAT 的接收器操作特征曲线下面积分别为 0.79 和 0.77,表明其临床实用性很强。虽然原始版本的预测能力略高,但新版本更易于在紧急情况下使用;因此,重要的是,选择合适的版本取决于具体情况。
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来源期刊
Respiratory investigation
Respiratory investigation RESPIRATORY SYSTEM-
CiteScore
4.90
自引率
6.50%
发文量
114
审稿时长
64 days
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