丹麦 COVID-19 成年幸存者队列中既往疼痛和疾病状况对 COVID 后疼痛表现的预测能力

IF 3.5 2区 医学 Q1 ANESTHESIOLOGY
Brian Duborg Ebbesen, Jakob Nebeling Hedegaard, Simon Grøntved, Rocco Giordano, César Fernández-de-las-Peñas, Lars Arendt-Nielsen
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引用次数: 0

摘要

尽管已经确定了许多新冠肺炎后疼痛风险因素,但对这些风险因素对新冠肺炎后疼痛发展的预测特征知之甚少。方法通过两份独立的问卷收集数据,评估人口统计学、既往医疗合并症、疼痛史和covid后疼痛经历。社会经济数据和COVID-19 RT-PCR检测结果从丹麦登记处收集。研究队列(n = 68,028)被分为两组,分别报告covid前疼痛(n = 9090)和无疼痛(n = 55,938)。采用前向选择预测模型,从58个潜在危险因素中确定整个研究队列(模型1)和分层组(模型2)和分层组(模型3)中covid - 19后疼痛的预测因子。结果模型1获得5倍交叉验证的AUC (cvAUC)为0.68。使用止痛药、压力、高收入、年龄、女性性别和体重是对模型性能贡献97%的主要预测因素。模型2 (cvAUC = 0.69)确定止痛药的使用、呼吸疼痛、压力、身高、身体活动和体重是最重要的预测因素,对模型预测性能的贡献率为98.6%。模型3 (cvAUC = 0.65)发现,压力、女性性别、体重、高等教育程度、年龄、高收入和体育锻炼是最重要的预测因素,对模型预测性能的贡献率为98.5%。身高是模型2所特有的,而女性和高收入是模型3所特有的。结论本研究强调了潜在的重要预测因素,需要进一步的研究来详细描述这些因素。该结果可能适用于其他病毒感染后的病毒后疼痛后遗症的认识。本探索性研究探讨了一系列可能与covid后疼痛发展相关的前风险因素的预测能力。本文介绍了有和没有前covid疼痛的COVID-19幸存者感兴趣的预测因素的概况。这些结果将有助于了解可能出现covid后疼痛状况的患者概况,并为有针对性的临床预测研究提供第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Predictive Ability of Previous Pain and Disease Conditions on the Presentation of Post-COVID Pain in a Danish Cohort of Adult COVID-19 Survivors

Predictive Ability of Previous Pain and Disease Conditions on the Presentation of Post-COVID Pain in a Danish Cohort of Adult COVID-19 Survivors

Background

Even though many post-COVID pain risk factors have been identified, little is known about the predictive profiles of these risk factors for the development of post-COVID pain.

Methods

Data was collected from two separate questionnaires assessing demographics, pre-existing medical comorbidities, pain history, and post-COVID pain experience. Socioeconomic data and COVID-19 RT-PCR test results were collected from Danish registries. The study cohort (n = 68,028) was stratified into two groups reporting pre-COVID pain (n = 9090) and no pre-COVID pain (n = 55,938). Forward-selection prediction models were employed to identify predictor profiles for post-COVID pain in the full study cohort (Model 1) and the stratified groups with (Model 2) and without (Model 3) pre-COVID pain from 58 potential risk factors.

Results

Model 1 achieved a 5-fold cross-validated AUC (cvAUC) of 0.68. Use of pain medication, stress, high income, age, female gender, and weight were the top predictors contributing to 97% of the model performance. Model 2 (cvAUC = 0.69) identified use of pain medication, breathing pain, stress, height, physical activity, and weight as the top predictors contributing to 98.6% of model predictive performance. Model 3 (cvAUC = 0.65) identified stress, female gender, weight, higher education, age, high income, and physical activity as the top predictors contributing to 98.5% of model predictive performance. Height was unique to Model 2, while being female and higher income were unique to Model 3.

Conclusions

The study highlights potential important predictors, and further research is needed to describe these in detail. The results may apply to the understanding of post-viral pain sequelae after other viral infections.

Significance Statement

The explorative study investigates the predictive ability of a battery of pre-COVID risk factors potentially associated with the development of post-COVID pain. This article presents the profiles of predictors of interest in COVID-19 survivors with and without pre-COVID pain. The results will contribute to the understanding of patient profiles that might develop post-COVID pain conditions and provide a first step towards focused clinical predictive research.

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来源期刊
European Journal of Pain
European Journal of Pain 医学-临床神经学
CiteScore
7.50
自引率
5.60%
发文量
163
审稿时长
4-8 weeks
期刊介绍: European Journal of Pain (EJP) publishes clinical and basic science research papers relevant to all aspects of pain and its management, including specialties such as anaesthesia, dentistry, neurology and neurosurgery, orthopaedics, palliative care, pharmacology, physiology, psychiatry, psychology and rehabilitation; socio-economic aspects of pain are also covered. Regular sections in the journal are as follows: • Editorials and Commentaries • Position Papers and Guidelines • Reviews • Original Articles • Letters • Bookshelf The journal particularly welcomes clinical trials, which are published on an occasional basis. Research articles are published under the following subject headings: • Neurobiology • Neurology • Experimental Pharmacology • Clinical Pharmacology • Psychology • Behavioural Therapy • Epidemiology • Cancer Pain • Acute Pain • Clinical Trials.
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