Deepika Dinesh1, Jong Soo Lee2, Xiang Gao3, Natalia Palacios4. 1. Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, United States. 2. Department of Mathematical Sciences, University of Massachusetts Lowell, United States. 3. Pennsylvania State University College of Health and Human Development, United States. 4. Department of Public Health, University of Massachusetts Lowell, United States; Department of Veterans Affairs, ENRM VA Hospital, 200 Springs Road, Bedford, MA, 01730, United States. Electronic address: natalia_palacios@uml.edu.
Abstract
OBJECTIVE: Skin conditions have been associated with increased risk of Parkinson's disease (PD). Little is known about clinical and biomarker differences according to presence of skin conditions among PD patients. Studying these differences might provide insight into PD pathogenesis. METHODS: We examined the association between common skin conditions and risk of PD in a case-control study of 423 early drug-naïve PD cases and 196 healthy controls (HC) in the Parkinson's Progression Markers Initiative (PPMI). Among PD participants, we examined if skin conditions were associated with clinical and PD-relevant biomarkers. RESULTS: Skin conditions occurred more frequently among PD participants (41%) relative to HC (32%). In multivariate analyses, we observed an association between any skin condition and PD (OR = 1.49, 95% CI = 1.03-2.16) and basal cell carcinoma and PD (OR = 2.05, 95% CI = 1.02-4.08). PD participants who reported skin conditions were older (OR = 1.68, 95% CI = 1.21-2.35) more educated (OR = 1.70, 95% CI = 0.99-2.91), had higher Semantic Fluency Test (SFT) scores (OR = 1.45, 95% CI = 1.07-1.96) and Hopkins Verbal Learning Test (HVLT) retention scores (OR = 1.55, 95% CI = 1.09-2.22) compared to PD patients without skin conditions. None of the associations remained significant after Bonferroni correction for multiple comparisons. CONCLUSIONS: We observed a positive association between any skin condition as well as basal cell carcinoma and PD. PD participants with skin conditions were older, more educated, had higher SFT and HVLT retention scores compared to those without skin conditions. However, all associations were no longer significant after Bonferroni multiple comparisons correction. Observed associations should be confirmed in larger, longitudinal studies.
OBJECTIVE: Skin conditions have been associated with increased risk of Parkinson's disease (PD). Little is known about clinical and biomarker differences according to presence of skin conditions among PD patients. Studying these differences might provide insight into PD pathogenesis. METHODS: We examined the association between common skin conditions and risk of PD in a case-control study of 423 early drug-naïve PD cases and 196 healthy controls (HC) in the Parkinson's Progression Markers Initiative (PPMI). Among PD participants, we examined if skin conditions were associated with clinical and PD-relevant biomarkers. RESULTS: Skin conditions occurred more frequently among PD participants (41%) relative to HC (32%). In multivariate analyses, we observed an association between any skin condition and PD (OR = 1.49, 95% CI = 1.03-2.16) and basal cell carcinoma and PD (OR = 2.05, 95% CI = 1.02-4.08). PD participants who reported skin conditions were older (OR = 1.68, 95% CI = 1.21-2.35) more educated (OR = 1.70, 95% CI = 0.99-2.91), had higher Semantic Fluency Test (SFT) scores (OR = 1.45, 95% CI = 1.07-1.96) and Hopkins Verbal Learning Test (HVLT) retention scores (OR = 1.55, 95% CI = 1.09-2.22) compared to PD patients without skin conditions. None of the associations remained significant after Bonferroni correction for multiple comparisons. CONCLUSIONS: We observed a positive association between any skin condition as well as basal cell carcinoma and PD. PD participants with skin conditions were older, more educated, had higher SFT and HVLT retention scores compared to those without skin conditions. However, all associations were no longer significant after Bonferroni multiple comparisons correction. Observed associations should be confirmed in larger, longitudinal studies.
Authors: John M Bertoni; John Philip Arlette; Hubert H Fernandez; Cheryl Fitzer-Attas; Karen Frei; Mohamed N Hassan; Stuart H Isaacson; Mark F Lew; Eric Molho; William G Ondo; Tania J Phillips; Carlos Singer; James P Sutton; John E Wolf Journal: Arch Neurol Date: 2010-03
Authors: Ju-Hee Kang; David J Irwin; Alice S Chen-Plotkin; Andrew Siderowf; Chelsea Caspell; Christopher S Coffey; Teresa Waligórska; Peggy Taylor; Sarah Pan; Mark Frasier; Kenneth Marek; Karl Kieburtz; Danna Jennings; Tanya Simuni; Caroline M Tanner; Andrew Singleton; Arthur W Toga; Sohini Chowdhury; Brit Mollenhauer; John Q Trojanowski; Leslie M Shaw Journal: JAMA Neurol Date: 2013-10 Impact factor: 18.302