A Retrospective Exploratory Analysis on Cardiovascular Risk and Cognitive Dysfunction in Multiple Sclerosis.

BACKGROUND: Cardiovascular comorbidities have been associated with cognitive decline in the general population. OBJECTIVES: To evaluate the associations between cardiovascular risk and neuropsychological performances in MS. METHODS: This is a retrospective study, including 69 MS patients. For all patients, we calculated the Framingham risk score, which provides the 10-year probability of developing macrovascular disease, using age, sex, diabetes, smoking, systolic blood pressure, and cholesterol levels as input variables. Cognitive function was examined with the Brief International Cognitive Assessment for MS (BICAMS), including the Symbol Digit Modalities Test (SDMT), the California Verbal Learning Test-II (CVLT-II), and the Brief Visuospatial Memory Test-Revised (BVMT-R). RESULTS: Each point increase of the Framingham risk score corresponded to 0.21 lower CVLT-II score. Looking at Framingham risk score components, male sex and higher total cholesterol levels corresponded to lower CVLT scores (Coeff = -8.54; 95%CI = -15.51, -1.57; and Coeff = -0.11; 95%CI = -0.20, -0.02, respectively). No associations were found between cardiovascular risk and SDMT or BVMT-R. CONCLUSIONS: In our exploratory analyses, cardiovascular risk was associated with verbal learning dysfunction in MS. Lifestyle and pharmacological interventions on cardiovascular risk factors should be considered carefully in the management of MS, given the possible effects on cognitive function.

The Framingham cardiovascular risk score and 5-year progression of multiple sclerosis.

BACKGROUND AND PURPOSE: Cardiovascular risk factors and comorbidities can affect the prognosis of multiple sclerosis (MS). The Framingham risk score is an algorithm that can estimate the 10-year risk of developing macrovascular disease. Our objectives were to evaluate the possible association between the Framingham risk score at baseline and MS relapses, disability, and disease-modifying therapy (DMT) choices over a 5-year follow-up. METHODS: This is a retrospective cohort study including 251 MS subjects. At baseline, we calculated the Framingham risk score considering the following variables: age, sex, diabetes, smoking, systolic blood pressure, and body mass index. MS outcomes including relapses, disability, and treatments were collected over 5 years. Cox proportional regression models were employed to estimate hazard ratios (HRs). RESULTS: A one-point increase in the Framingham risk score was associated with 31% higher risk of relapse (HR = 1.31; 95% confidence interval [CI] = 1.03, 1.68), 19% higher risk of reaching of EDSS 6.0 (HR = 1.19; 95% CI = 1.05, 3.01), and 62% higher risk of DMT escalation (HR = 1.62; 95% CI = 1.22, 3.01). CONCLUSIONS: Higher cardiovascular risk was associated with higher risk of relapses, disability, and DMT escalation in MS. Early identification, correction, and treatment of cardiovascular comorbidities should be carefully considered within MS management.

Application of the p9NORM correction method to timed neuropsychological tests in Parkinson's disease and multiple system atrophy.

OBJECTIVE: Timed neuropsychological tests do not take into account physical impairment during scoring procedures. Dysarthria and upper limb impairment can be easily measured with the PATA rate test (PRT) and the nine-hole pegboard test (9HPT). We recently validated a normalization method for timed neuropsychological tests using the PRT and 9HPT (p9NORM). We now validate the p9NORM in Parkinson's disease (Yarnall et al. Neurology 82(4):308-316; 2014) and multiple system atrophy (MSA). METHODS: We enrolled twenty-six patients with PD, eighteen patients with MSA, and fifteen healthy controls (HC). p9NORM was applied to patients with abnormal PRT and/or 9HPT. All subjects were tested with a comprehensive neuropsychological battery. RESULTS: No differences emerged in demographics across groups: (PD: mean age ± SD 66 ± 8; education 9 ± 4 years; MSA: age 60 ± 8; education 10 ± 4 years; HC: age 61 ± 12; education 9 ± 4 years). In MSA patients, the scores on the trail making test (TMT-A p = 0.003; TMT-B p = 0.018), attentional matrices (AM; p = 0.042), and symbol digit modalities test (SDMT p = 0.027) significantly differed following application of p9NORM. In PD patients, the TMT-A (p < 0.001), TMT-B (p = 0.001), and AM (p = 0.001) differed after correction. PD and MSA showed cognitive impairment relative to HC performance. When comparing MSA with PD, the SDMT, AM, and fluencies were similar. TMT-A and -B raw scores were different between groups (p = 0.006; p = 0.034), but these differences lost significance after p9NORM corrections (p = 0.100; p = 0.186). CONCLUSIONS: We confirm that the p9NORM can be successfully used in both PD and MSA patients, as it mitigates the impact of disability on timed tests, resulting in a more accurate analysis of cognitive domains.