Saadia Sasha Ali, Christiana Demetriou, Ioannis Parodis, Ai Lyn Tan, Abraham Edgar Gracia-Ramos, Mrudula Joshi, Carlo V Caballero-Uribe, Sreoshy Saha, James B Lilleker, Arvind Nune, John D Pauling, Chris Wincup, Kshitij Jagtap, Dzifa Dey, Marcin Milchert, Oliver Distler, Hector Chinoy, Vikas Agarwal, Latika Gupta, Elena Nikiphorou
{"title":"使用PROMIS PF-10a测量的类风湿关节炎患者身体功能的决定因素:来自国际自身免疫性疾病COVID-19疫苗接种(COVAD)研究的结果","authors":"Saadia Sasha Ali, Christiana Demetriou, Ioannis Parodis, Ai Lyn Tan, Abraham Edgar Gracia-Ramos, Mrudula Joshi, Carlo V Caballero-Uribe, Sreoshy Saha, James B Lilleker, Arvind Nune, John D Pauling, Chris Wincup, Kshitij Jagtap, Dzifa Dey, Marcin Milchert, Oliver Distler, Hector Chinoy, Vikas Agarwal, Latika Gupta, Elena Nikiphorou","doi":"10.1093/rap/rkae154","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Physical function in RA is largely influenced by multiple clinical factors, however, there is a growing body of evidence that psychological state and other comorbidities also play an essential role. Using data obtained in the COVID-19 Vaccination in Autoimmune Diseases study, an international self-reported e-survey, we aimed to explore the predictive ability of sociodemographic and clinical variables on Patient-Reported Outcomes Measurement Information System Physical Function Short Form 10a (PROMIS PF-10a) in RA and to investigate variation in disease activity and functional outcomes based on country-level socio-economic parameters.</p><p><strong>Methods: </strong>Patient demographics, disease characteristics including current symptom status, functional status and treatment variables, as well as income level of the country of residence, were extracted from survey responses. PROMIS PF-10a scores were compared across country income levels. The influence of extracted variables on reversed PROMIS PF-10a scores were investigated using negative binomial univariable- and multivariable regression.</p><p><strong>Results: </strong>A total of 1342 RA patients were included in this analysis. In the optimised parsimonious predictive model for reversed PROMIS PF-10a, older age, female gender, disease duration, fatigue and pain levels were independently associated with worse physical function, whereas Asian ethnicity, higher overall physical health ratings, ability to carry out everyday activities and residing in a country with an upper-middle or high-income level were independently associated with better physical function.</p><p><strong>Conclusion: </strong>Our study highlights that clinical factors remain strong predictors of physical function in RA, irrespective of individual and country-level socio-economic differences. Interestingly, high country-level income was associated with better physical function, irrespective of individual sociodemographic and clinical factors.</p>","PeriodicalId":21350,"journal":{"name":"Rheumatology Advances in Practice","volume":"9 1","pages":"rkae154"},"PeriodicalIF":2.1000,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11751688/pdf/","citationCount":"0","resultStr":"{\"title\":\"Determinants of physical function, as measured using PROMIS PF-10a, in patients with rheumatoid arthritis: results from the international COVID-19 Vaccination in Autoimmune Diseases (COVAD) study.\",\"authors\":\"Saadia Sasha Ali, Christiana Demetriou, Ioannis Parodis, Ai Lyn Tan, Abraham Edgar Gracia-Ramos, Mrudula Joshi, Carlo V Caballero-Uribe, Sreoshy Saha, James B Lilleker, Arvind Nune, John D Pauling, Chris Wincup, Kshitij Jagtap, Dzifa Dey, Marcin Milchert, Oliver Distler, Hector Chinoy, Vikas Agarwal, Latika Gupta, Elena Nikiphorou\",\"doi\":\"10.1093/rap/rkae154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Physical function in RA is largely influenced by multiple clinical factors, however, there is a growing body of evidence that psychological state and other comorbidities also play an essential role. Using data obtained in the COVID-19 Vaccination in Autoimmune Diseases study, an international self-reported e-survey, we aimed to explore the predictive ability of sociodemographic and clinical variables on Patient-Reported Outcomes Measurement Information System Physical Function Short Form 10a (PROMIS PF-10a) in RA and to investigate variation in disease activity and functional outcomes based on country-level socio-economic parameters.</p><p><strong>Methods: </strong>Patient demographics, disease characteristics including current symptom status, functional status and treatment variables, as well as income level of the country of residence, were extracted from survey responses. PROMIS PF-10a scores were compared across country income levels. The influence of extracted variables on reversed PROMIS PF-10a scores were investigated using negative binomial univariable- and multivariable regression.</p><p><strong>Results: </strong>A total of 1342 RA patients were included in this analysis. In the optimised parsimonious predictive model for reversed PROMIS PF-10a, older age, female gender, disease duration, fatigue and pain levels were independently associated with worse physical function, whereas Asian ethnicity, higher overall physical health ratings, ability to carry out everyday activities and residing in a country with an upper-middle or high-income level were independently associated with better physical function.</p><p><strong>Conclusion: </strong>Our study highlights that clinical factors remain strong predictors of physical function in RA, irrespective of individual and country-level socio-economic differences. 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引用次数: 0
摘要
目的:RA的身体功能在很大程度上受到多种临床因素的影响,然而,越来越多的证据表明心理状态和其他合并症也起着重要作用。利用国际自我报告电子调查“自身免疫性疾病中的COVID-19疫苗接种研究”获得的数据,我们旨在探讨社会人口学和临床变量对患者报告结果测量信息系统身体功能短表10a (PROMIS sf -10a)在RA中的预测能力,并调查基于国家层面社会经济参数的疾病活动性和功能结局的变化。方法:从调查反馈中提取患者人口统计学、疾病特征(包括当前症状状态、功能状态和治疗变量)以及居住国的收入水平。对不同国家收入水平的PROMIS PF-10a分数进行了比较。采用负二项单变量和多变量回归研究了提取变量对PROMIS PF-10a得分的影响。结果:本分析共纳入1342例RA患者。在逆转PROMIS PF-10a的优化简约预测模型中,年龄较大、女性性别、疾病持续时间、疲劳和疼痛水平与较差的身体功能独立相关,而亚洲种族、较高的整体身体健康评级、进行日常活动的能力以及居住在中高或高收入水平的国家与较好的身体功能独立相关。结论:我们的研究强调,无论个人和国家层面的社会经济差异如何,临床因素仍然是RA身体功能的有力预测因素。有趣的是,无论个人的社会人口和临床因素如何,高水平的国家收入与更好的身体机能有关。
Determinants of physical function, as measured using PROMIS PF-10a, in patients with rheumatoid arthritis: results from the international COVID-19 Vaccination in Autoimmune Diseases (COVAD) study.
Objectives: Physical function in RA is largely influenced by multiple clinical factors, however, there is a growing body of evidence that psychological state and other comorbidities also play an essential role. Using data obtained in the COVID-19 Vaccination in Autoimmune Diseases study, an international self-reported e-survey, we aimed to explore the predictive ability of sociodemographic and clinical variables on Patient-Reported Outcomes Measurement Information System Physical Function Short Form 10a (PROMIS PF-10a) in RA and to investigate variation in disease activity and functional outcomes based on country-level socio-economic parameters.
Methods: Patient demographics, disease characteristics including current symptom status, functional status and treatment variables, as well as income level of the country of residence, were extracted from survey responses. PROMIS PF-10a scores were compared across country income levels. The influence of extracted variables on reversed PROMIS PF-10a scores were investigated using negative binomial univariable- and multivariable regression.
Results: A total of 1342 RA patients were included in this analysis. In the optimised parsimonious predictive model for reversed PROMIS PF-10a, older age, female gender, disease duration, fatigue and pain levels were independently associated with worse physical function, whereas Asian ethnicity, higher overall physical health ratings, ability to carry out everyday activities and residing in a country with an upper-middle or high-income level were independently associated with better physical function.
Conclusion: Our study highlights that clinical factors remain strong predictors of physical function in RA, irrespective of individual and country-level socio-economic differences. Interestingly, high country-level income was associated with better physical function, irrespective of individual sociodemographic and clinical factors.