Abstract：
OBJECTIVE: A previous study using Scleroderma Patient-centered Intervention Network (SPIN) Cohort data identified five classes of people with systemic sclerosis (also known as scleroderma) based on patient-reported somatic (fatigue, pain, sleep) and mental health (anxiety, depression) symptoms and compared indicators of disease severity between classes. Across four classes (\"low\", \"normal\", \"high\", \"very high\"), there were progressively worse somatic and mental health outcomes and greater disease severity. The fifth (\"high/low\") class, however, was characterized by high disease severity, fatigue, pain, and sleep but low mental health symptoms. We evaluated resilience across classes and compared resilience between classes.
METHODS: Cross-sectional study. SPIN Cohort participants completed the 10-item Connor-Davidson-Resilience Scale (CD-RISC) and PROMIS v2.0 domains between August 2022 and January 2023. We used latent profile modeling to identify five classes as in the previous study and multiple linear regression to compare resilience levels across classes, controlling for sociodemographic and disease variables.
RESULTS: Mean CD-RISC score (N = 1054 participants) was 27.7 (standard deviation = 7.3). Resilience decreased progressively across \"low\" to \"normal\" to \"high\" to \"very high\" classes (mean 4.7 points per step). Based on multiple regression, the \"high/low\" class exhibited higher resilience scores than the \"high\" class (6.0 points, 95% confidence interval [CI] 4.9 to 7.1 points; standardized mean difference = 0.83, 95% CI 0.67 to 0.98).
CONCLUSIONS: People with worse disease severity and patient-reported outcomes reported substantially lower resilience, except a class of people with high disease severity, fatigue, pain, and sleep disturbance but positive mental health and high resilience.
METHODS: Cross-sectional study. SPIN Cohort participants completed the 10-item Connor-Davidson-Resilience Scale (CD-RISC) and PROMIS v2.0 domains between August 2022 and January 2023. We used latent profile modeling to identify five classes as in the previous study and multiple linear regression to compare resilience levels across classes, controlling for sociodemographic and disease variables.
RESULTS: Mean CD-RISC score (N = 1054 participants) was 27.7 (standard deviation = 7.3). Resilience decreased progressively across \"low\" to \"normal\" to \"high\" to \"very high\" classes (mean 4.7 points per step). Based on multiple regression, the \"high/low\" class exhibited higher resilience scores than the \"high\" class (6.0 points, 95% confidence interval [CI] 4.9 to 7.1 points; standardized mean difference = 0.83, 95% CI 0.67 to 0.98).
CONCLUSIONS: People with worse disease severity and patient-reported outcomes reported substantially lower resilience, except a class of people with high disease severity, fatigue, pain, and sleep disturbance but positive mental health and high resilience.
摘要：
目的：先前的研究使用硬皮病以患者为中心的干预网络（SPIN）队列数据，根据患者报告的躯体（疲劳，疼痛,睡眠)和心理健康(焦虑，抑郁症)症状和类别之间疾病严重程度的比较指标。跨四个班级(“低”，\"normal\",\"高\",\“非常高\”)，躯体和心理健康结局逐渐恶化,疾病严重程度也越来越严重.第五（“高/低”）类，然而,以疾病严重程度高为特征，疲劳,疼痛,和睡眠，但精神健康症状低。我们评估了不同班级的弹性，并比较了不同班级之间的弹性。
方法：横断面研究。SPIN队列参与者在2022年8月至2023年1月之间完成了10个项目的Connor-Davidson-Resilence量表（CD-RISC）和PROMISv2.0域。我们使用潜在的轮廓建模来识别五个类别，如先前的研究和多元线性回归来比较不同类别的弹性水平，控制社会人口统计学和疾病变量。
结果：平均CD-RISC评分（N=1054名参与者）为27.7（标准差=7.3）。恢复力从“低”到“正常”到“高”到“非常高”等级逐渐下降（平均每步4.7分）。基于多元回归，“高/低”类表现出比“高”类更高的弹性分数(6.0分，95%置信区间[CI]4.9至7.1分；标准化平均差=0.83，95%CI0.67至0.98）。
结论：疾病严重程度和患者报告结果较差的人报告的复原力明显较低，除了一类疾病严重程度高的人，疲劳,疼痛,和睡眠障碍，但积极的心理健康和高弹性。
方法：横断面研究。SPIN队列参与者在2022年8月至2023年1月之间完成了10个项目的Connor-Davidson-Resilence量表（CD-RISC）和PROMISv2.0域。我们使用潜在的轮廓建模来识别五个类别，如先前的研究和多元线性回归来比较不同类别的弹性水平，控制社会人口统计学和疾病变量。
结果：平均CD-RISC评分（N=1054名参与者）为27.7（标准差=7.3）。恢复力从“低”到“正常”到“高”到“非常高”等级逐渐下降（平均每步4.7分）。基于多元回归，“高/低”类表现出比“高”类更高的弹性分数(6.0分，95%置信区间[CI]4.9至7.1分；标准化平均差=0.83，95%CI0.67至0.98）。
结论：疾病严重程度和患者报告结果较差的人报告的复原力明显较低，除了一类疾病严重程度高的人，疲劳,疼痛,和睡眠障碍，但积极的心理健康和高弹性。
