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Symptoms of depression and anxiety are early predictors of multi-domain disability progression in progressive MS
Romy A M Klein Kranenbarg1,2, Katelijn M Blok1,2, Yifan van Hasselt3
1Department of Neurology, MS Centre, Albert Schweitzer Hospital, Albert Schweitzerplaats 25, 3318 AT, Dordrecht, The Netherlands.
Introduction:
In multiple sclerosis (MS), depression and anxiety are common, yet their relation to disease progression is unclear. We investigated whether Hospital Anxiety and Depression Scale (HADS) symptoms predict neurological disability progression.
Methods:
In our prospective cohort of people with primary progressive MS (PPMS), depressive and anxiety symptoms were assessed using HADS. Disability progression at 1 and 2 years was assessed using three predefined endpoints: (1) Expanded Disability Status Scale (EDSS), (2) a three-variable composite endpoint (EDSS, Timed 25-Foot Walk (T25FW), or Arm Function in Multiple Sclerosis Questionnaire (AMSQ)), and (3) a five-variable composite endpoint (EDSS, T25FW, AMSQ, Symbol Digit Modalities Test (SDMT), or Patient-Determined Disease Steps (PDDS)). Logistic regression modelled whether HADS scores predicted disability progression. Boruta feature selection identified the most informative HADS items.
Results:
One hundred eleven adults with PPMS completed the HADS (all ≥ 1-year follow-up; 62 ≥ 2 years). Progression occurred predominantly on individual domains. At 1 year, higher total HADS scores predicted progression on the five-variable composite endpoint (OR 3.10, [95% CI 0.99-9.75], p = 0.05; AUC 0.59, [95% CI 0.47-0.70]). At 2 years, the depression sub-score consistently predicted progression on EDSS (OR 8.88, [95% CI 1.12-70.66], p = 0.04), and the five-variable composite endpoint (OR 9.46, [95% CI 1.50-59.52], p = 0.02). Boruta feature selection identified HADS depression-associated items 6 and 8 as best predictors; together achieving similar predictive accuracy compared to the full HADS questionnaire.
Conclusion:
Higher HADS scores, particularly depressive symptoms, predicted disability progression. These findings indicate prognostic value of patient-reported outcomes in predicting disease worsening and their potential use in guiding personalised treatment in progressive MS.
Insights
In primary progressive multiple sclerosis (PPMS), higher scores on the Hospital Anxiety and Depression Scale (HADS), especially depression, predict neurological disability progression. This highlights the prognostic value of patient-reported outcomes for personalized treatment.
Area of Science:
- Neurology
- Psychiatry
- Clinical Research
Background:
- Depression and anxiety are prevalent in multiple sclerosis (MS) but their link to disease progression remains unclear.
- Investigating the predictive power of psychological symptoms on neurological decline in MS is crucial for patient management.
Purpose of the Study:
- To determine if symptoms measured by the Hospital Anxiety and Depression Scale (HADS) can predict neurological disability progression in primary progressive multiple sclerosis (PPMS).
Main Methods:
- A prospective cohort study of 111 adults with PPMS.
- Assessed depressive and anxiety symptoms using HADS.
- Evaluated disability progression at 1 and 2 years using multiple endpoints including EDSS, T25FW, AMSQ, SDMT, and PDDS.
- Employed logistic regression and Boruta feature selection to identify predictors.
Main Results:
- Higher HADS scores predicted progression on a five-variable composite endpoint at 1 year (OR 3.10, p=0.05).
- At 2 years, the depression sub-score predicted progression on EDSS (OR 8.88, p=0.04) and the five-variable composite endpoint (OR 9.46, p=0.02).
- Specific HADS depression items (6 and 8) were identified as key predictors.
Conclusions:
- Elevated HADS scores, particularly depressive symptoms, are significant predictors of disability progression in PPMS.
- Patient-reported outcomes like HADS scores have prognostic value for disease worsening.
- These findings support the use of HADS in guiding personalized treatment strategies for progressive MS.
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