Manouchehrinia Ali, Zhu Feng, Hillert Jan, McKay Kyla, Zhao Yinshan, Marrie Ruth Ann, Tremlett Helen
Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada.
J Neurol Neurosurg Psychiatry. 2025 Mar 25. doi: 10.1136/jnnp-2024-335279.
We aimed to investigate the prodromal phase of multiple sclerosis (MS) by investigating annual sickness absence rates before MS onset.
A retrospective cohort study was conducted using Sweden's linked clinical and health administrative data. We identified MS cases via a validated algorithm using International Classification of Diseases (ICD) diagnostic codes for MS ('administrative cohort') or registration in the Swedish MS registry ('clinical cohort'). MS onset was defined as the first MS/demyelinating disease ICD code (administrative cohort) or, for the clinical cohort, MS symptom onset date, if earlier. Cases were matched with up to five controls from the general population with no MS/demyelinating disease history. Yearly sickness absence rates up to 18 years pre-MS onset were compared using negative binomial regression with generalised estimating equations.
The administrative/clinical cohorts comprised 8618/6361 MS cases and 43 072/31 776 controls. Sickness absence rate ratios were significantly elevated from 6 years before MS onset in the administrative cohort and 2 years before in the clinical cohort. The adjusted rate ratios peaked in the year pre-MS onset, reaching 2.59 (95% CI 2.40 to 2.79) in the administrative cohort and 1.19 (95% CI 1.06 to 1.34) in the clinical cohort. We also observed age-related and sex-related differences primarily in the year before MS onset, with males and older individuals exhibiting higher rate ratios.
We observed a significant increase in sickness absence spells in individuals on the path to developing MS. Investigating sick leave patterns may provide a unique and broad perspective on the health trajectories of chronic conditions like MS.
我们旨在通过调查多发性硬化症(MS)发病前的年度病假率来研究其前驱期。
利用瑞典临床与健康管理数据的关联进行了一项回顾性队列研究。我们通过使用国际疾病分类(ICD)中MS诊断代码的验证算法(“管理队列”)或瑞典MS登记处的登记信息(“临床队列”)来识别MS病例。MS发病定义为首个MS/脱髓鞘疾病ICD代码(管理队列),对于临床队列,则为MS症状出现日期(若更早)。病例与来自普通人群的至多五名无MS/脱髓鞘疾病病史的对照进行匹配。使用负二项回归和广义估计方程比较MS发病前18年的年度病假率。
管理/临床队列分别包括8618/6361例MS病例和43072/31776名对照。在管理队列中,病假率比在MS发病前6年开始显著升高,在临床队列中则在发病前2年开始显著升高。调整后的率比在MS发病前一年达到峰值,管理队列中为2.59(95%CI 2.40至2.79),临床队列中为1.19(95%CI 1.06至1.34)。我们还主要在MS发病前一年观察到了年龄和性别相关差异,男性和年长者的率比更高。
我们观察到在即将发展为MS的个体中,病假天数显著增加。调查病假模式可能为MS等慢性病的健康轨迹提供独特而广泛的视角。