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急性新冠病毒感染后综合征患者的健康相关生活质量:症状群的识别及对长期结局的预测。

Health-Related Quality of Life for Patients with Post-Acute COVID-19 Syndrome: Identification of Symptom Clusters and Predictors of Long-Term Outcomes.

机构信息

Center for Outcomes Research and Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.

Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.

出版信息

J Gen Intern Med. 2024 Jun;39(8):1301-1309. doi: 10.1007/s11606-024-08688-9. Epub 2024 Feb 29.

Abstract

BACKGROUND

Following COVID-19 infection, as many as a third of patients have long-term symptoms, known as post-acute sequelae (PASC). The mechanisms contributing to PASC remain largely unknown and, due to the heterogeneity of symptoms, treating PASC provides unique challenges.

OBJECTIVE

Our study sought to (1) identify clinical symptom profiles based on PROMIS Global Health (GH) items, (2) evaluate demographic and clinical differences across profiles, and (3) identify predictors of change in health-related quality of life (HRQL) over time.

DESIGN

This was an observational cohort study of patients with PASC who completed PROMIS-GH between 2/11/21 and 12/3/21 as part of routine care, with data extracted from the electronic health record.

PARTICIPANTS

There were 1407 adult patients (mean age 49.6 ± 13.7, 73% female, 81% White race) with PASC seen in the recovery clinic between 2/11/21 and 12/3/21, with 1129 (80.2%) completing PROMIS-GH as routine care.

MAIN MEASURES

HRQL was measured with PROMIS-GH at initial visit and after 12 months.

KEY RESULTS

Latent profile analysis identified symptom classes based on five PROMIS-GH items (mental health, ability to carry out physical activities, pain, fatigue, and emotional problems). Four latent profiles were identified: (1) "Poor HRQL" (n = 346), (2) "Mixed HRQL: good mental/poor physical" (n = 232), (3) "Mixed HRQL: poor mental/good physical" (n = 324), and (4) "Good HRQL" (n = 227). Demographics and comorbidities varied significantly across profile with patients with more severe COVID-19 infection more likely to be in profiles 1 and 2. Overall, patients improved 2 T-score points on PROMIS-GH after 12 months, with differences by profile. Predictors of improved HRQL included profile, lower body mass index, and fewer COVID symptoms.

CONCLUSIONS

Patients with PASC have distinct HRQL symptom profiles which were able to differentiate across COVID-19 severity and symptoms. Improvement over 12 months differed by profile. These profiles may be used to better understand the mechanisms behind PASC. Future research should evaluate their ability to guide treatment decisions to improve HRQL.

摘要

背景

COVID-19 感染后,多达三分之一的患者出现长期症状,称为急性后期综合征(PASC)。导致 PASC 的机制仍在很大程度上未知,由于症状的异质性,治疗 PASC 带来了独特的挑战。

目的

我们的研究旨在:(1) 根据 PROMIS 全球健康 (GH) 项目确定临床症状特征;(2) 评估不同特征之间的人口统计学和临床差异;(3) 确定与健康相关的生活质量 (HRQL) 随时间变化的预测因素。

设计

这是一项观察性队列研究,纳入了 2021 年 2 月 11 日至 12 月 3 日期间在康复诊所接受 PASC 治疗的患者,他们完成了 PROMIS-GH,数据从电子健康记录中提取。

参与者

共有 1407 名成年患者(平均年龄 49.6±13.7 岁,73%为女性,81%为白人),2021 年 2 月 11 日至 12 月 3 日期间在康复诊所接受 PASC 治疗,其中 1129 名(80.2%)患者在常规护理中完成了 PROMIS-GH。

主要措施

在初次就诊和 12 个月后使用 PROMIS-GH 测量 HRQL。

主要结果

潜在剖面分析根据五个 PROMIS-GH 项目(心理健康、身体活动能力、疼痛、疲劳和情绪问题)确定了症状类别。确定了四个潜在特征:(1) “HRQL 较差”(n=346),(2) “混合 HRQL:心理健康/身体欠佳”(n=232),(3) “混合 HRQL:心理健康欠佳/身体较好”(n=324),和 (4) “HRQL 良好”(n=227)。不同特征之间的人口统计学和合并症差异显著,COVID-19 感染越严重的患者更有可能处于特征 1 和 2 中。总体而言,患者在 12 个月后 PROMIS-GH 评分提高了 2 个 T 分数,不同特征之间存在差异。HRQL 改善的预测因素包括特征、较低的体重指数和较少的 COVID 症状。

结论

PASC 患者具有不同的 HRQL 症状特征,能够区分 COVID-19 严重程度和症状。12 个月后有不同程度的改善。这些特征可能用于更好地理解 PASC 的发病机制。未来的研究应评估其指导治疗决策以改善 HRQL 的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d532/11169186/0b52cfc9b4f0/11606_2024_8688_Fig1_HTML.jpg

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