Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, University Hospital for Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
Data Analytics As a Service Tirol, Innsbruck, Austria.
J Psychosom Res. 2023 Jun;169:111234. doi: 10.1016/j.jpsychores.2023.111234. Epub 2023 Mar 17.
Subjective illness perception (IP) can differ from physician's clinical assessment results. Herein, we explored patient's IP during coronavirus disease 2019 (COVID-19) recovery.
Participants of the prospective observation CovILD study (ClinicalTrials.gov: NCT04416100) with persistent somatic symptoms or cardiopulmonary findings one year after COVID-19 were analyzed (n = 74). Explanatory variables included demographic and comorbidity, COVID-19 course and one-year follow-up data of persistent somatic symptoms, physical performance, lung function testing, chest computed tomography and trans-thoracic echocardiography. Factors affecting IP (Brief Illness Perception Questionnaire) one year after COVID-19 were identified by regularized modeling and unsupervised clustering.
In modeling, 33% of overall IP variance (R) was attributed to fatigue intensity, reduced physical performance and persistent somatic symptom count. Overall IP was largely independent of lung and heart findings revealed by imaging and function testing. In clustering, persistent somatic symptom count (Kruskal-Wallis test: η = 0.31, p < .001), fatigue (η = 0.34, p < .001), diminished physical performance (χ test, Cramer V effect size statistic: V = 0.51, p < .001), dyspnea (V = 0.37, p = .006), hair loss (V = 0.57, p < .001) and sleep problems (V = 0.36, p = .008) were strongly associated with the concern, emotional representation, complaints, disease timeline and consequences IP dimensions.
Persistent somatic symptoms rather than abnormalities in cardiopulmonary testing influence IP one year after COVID-19. Modifying IP represents a promising innovative approach to treatment of post-COVID-19 condition. Besides COVID-19 severity, individual IP should guide rehabilitation and psychological therapy decisions.
主观疾病认知(IP)可能与医生的临床评估结果不同。在此,我们探讨了 COVID-19 康复期间患者的 IP。
前瞻性观察性 CovILD 研究(ClinicalTrials.gov:NCT04416100)的参与者在 COVID-19 后一年出现持续性躯体症状或心肺发现,进行了分析(n=74)。解释变量包括人口统计学和合并症、COVID-19 病程以及持续性躯体症状、身体表现、肺功能测试、胸部计算机断层扫描和经胸超声心动图的一年随访数据。通过正则化建模和无监督聚类确定 COVID-19 后一年影响 IP(简要疾病认知问卷)的因素。
在建模中,总体 IP 方差(R)的 33%归因于疲劳强度、身体表现下降和持续性躯体症状计数。总体 IP 与影像学和功能测试显示的肺部和心脏发现基本无关。在聚类中,持续性躯体症状计数(Kruskal-Wallis 检验:η=0.31,p<.001)、疲劳(η=0.34,p<.001)、身体表现下降(χ检验,Cramer V 效应大小统计量:V=0.51,p<.001)、呼吸困难(V=0.37,p=0.006)、脱发(V=0.57,p<.001)和睡眠问题(V=0.36,p=0.008)与关注、情绪表达、抱怨、疾病时间轴和后果 IP 维度密切相关。
持续性躯体症状而非心肺测试异常会影响 COVID-19 后一年的 IP。改变 IP 是治疗 COVID-19 后状况的一种很有前途的创新方法。除了 COVID-19 严重程度,个体 IP 还应指导康复和心理治疗决策。