中国上海非重症 SARS-CoV-2 Omicron 变体感染者的临床特征和疲劳后遗症预测提名图

IF 3.7 Q2 IMMUNOLOGY
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引用次数: 0

摘要

背景冠状病毒病2019(COVID-2019)感染患者仍可能出现长期影响,其中最常见的是疲劳。收集并分析非重症COVID-19感染患者的长期影响,并建立疲劳症状预测模型。方法将223例定点医院收治的非重症COVID-19患者纳入研究,填写所有自行设计的临床信息登记表,并随访9个月。我们探讨了长COVID的频率和症状类型。对神经心理量表结果进行了相关分析。结果 在 223 名非重度 COVID-19 患者中,共有 108 人(48.4%)报告有超过 4 周的后遗症,其中 35 人(15.7%)的疲劳后遗症经量表证实。其他超过 10%的后遗症包括脑雾(37 人,16.6%)、咳嗽(26 人,11.7%)和失眠(23 人,10.3%)。在完成神经心理学量表后,发现抑郁和疲劳之间存在相关性。住院时间、治疗中未使用抗病毒药物、血液中的 IL-6 和 CD16+CD56+ 细胞水平是导致长期 COVID 患者出现疲劳后遗症的主要独立危险因素和预测因素。结论近半数感染 COVID-19 Omicron 变异型的患者主诉有后遗症,疲劳是最常见的症状,与抑郁相关。疲劳后遗症的重要预测因素包括住院时间、未使用抗病毒药物以及与免疫相关的血清标志物IL-6和CD16+CD56+ NK细胞水平。神经系统疾病和未接种疫苗也可预测疲劳后遗症的发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical features and predictive nomogram for fatigue sequelae in non-severe patients infected with SARS-CoV-2 Omicron variant in Shanghai, China

Background

Patients with coronavirus disease 2019(COVID-2019) infections may still experience long-term effects, with fatigue being one of the most frequent ones. Clinical research on the long COVID in the Chinese population after infection is comparatively lacking.

Objective

To collect and analyze the long-term effects of non-severe COVID-19 infection patients and to develop a model for the prediction of fatigue symptoms.

Methods

223 non-severe COVID-19 patients admitted to one designated hospital were enrolled after finish all the self-designed clinical information registration form and nine-month follow-up. We explored the frequency and symptom types of long COVID. Correlation analysis was done on the neuropsychological scale results. After cluster analysis, lasoo regression and logistic regressions, a nomogram prediction model was produced as a result of investigating the risk factors for fatigue.

Results

A total of 108 (48.4%) of the 223 non-severe COVID-19 patients reported sequelae for more than 4 weeks, and of these, 35 (15.7%) had fatigue sequelae that were scale-confirmed. Other sequelae of more than 10% were brain fog (n = 37,16.6%), cough (n = 26,11.7%) and insomnia (n = 23,10.3%). A correlation between depression and fatigue was discovered following the completion of neuropsychological scale. The duration of hospitalization, the non-use of antiviral medications in treatment, IL-6 and CD16+CD56+ cell levels in blood are the main independent risk factors and predictors of fatigue sequelae in long COVID. Additionally, the neurology diseases and vaccination status may also influence the fatigue sequelae.

Conclusion

Nearly half of the patients infected with COVID-19 Omicron variant complained of sequelae, and fatigue was the most common symptom, which was correlated with depression. Significant predictors of fatigue sequelae included length of hospitalization, non-use of antiviral drug, and immune-related serum markers of IL-6 and CD16+CD56+ NK cell levels. The presence of neurology diseases and a lack of vaccination could also predict the occurrence of fatigue sequelae.
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来源期刊
Brain, behavior, & immunity - health
Brain, behavior, & immunity - health Biological Psychiatry, Behavioral Neuroscience
CiteScore
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