@article {1354, title = {Markers of inflammation in prevalent and incident Parkinson{\textquoteright}s disease in the Cardiovascular Health Study.}, journal = {Parkinsonism Relat Disord}, volume = {18}, year = {2012}, month = {2012 Mar}, pages = {274-8}, abstract = {

BACKGROUND: Studies demonstrate existence of inflammation in prevalent Parkinson{\textquoteright}s disease (PD). We assessed associations of baseline levels of inflammatory markers with prevalent PD at baseline (1989) and incident PD identified over 13 years of follow-up of the Cardiovascular Health Study.

METHODS: Blood samples at baseline were measured for fibrinogen, interleukin-6, tumor necrosis factor-α, C-reactive protein, albumin, and white blood cells. The analysis included 60 prevalent and 154 incident PD cases.

RESULTS: Risk of prevalent PD was significantly higher per doubling of IL-6 among women (odds ratio [OR]=1.5, 95\% confidence interval [CI]: 1.0, 2.4) and WBC among men (OR: 2.4, 95\% CI: 1.2, 4.9) in multivariate models. Risk of incident PD was not associated with higher levels of any biomarker after adjusting for age, smoking, African American race, and history of diabetes. Inverse associations with incident PD were observed per doubling of C-reactive protein (OR=0.9; 95\% CI: 0.8, 1.0) and of fibrinogen among women (OR=0.4; 95\% CI: 0.2, 0.8).

CONCLUSIONS: Although inflammation exists in PD, it may not represent an etiologic factor. Our findings suggest the need for larger studies that measure inflammatory markers before PD onset.

}, keywords = {Aged, Aged, 80 and over, Albumins, Biomarkers, C-Reactive Protein, Enzyme-Linked Immunosorbent Assay, Female, Fibrinogen, Humans, Incidence, Inflammation, Interleukin-6, Leukocyte Count, Male, Parkinson Disease, Prevalence, Risk Factors, Tumor Necrosis Factor-alpha}, issn = {1873-5126}, doi = {10.1016/j.parkreldis.2011.11.003}, author = {Ton, Thanh G N and Jain, Samay and Biggs, Mary L and Thacker, Evan L and Strotmeyer, Elsa S and Boudreau, Robert and Newman, Anne B and Longstreth, W T and Checkoway, Harvey} } @article {6188, title = {Enhancing case ascertainment of Parkinson{\textquoteright}s disease using Medicare claims data in a population-based cohort: the Cardiovascular Health Study.}, journal = {Pharmacoepidemiol Drug Saf}, volume = {23}, year = {2014}, month = {2014 Feb}, pages = {119-27}, abstract = {

PURPOSE: We sought to improve a previous algorithm to ascertain Parkinson{\textquoteright}s disease (PD) in the Cardiovascular Health Study by incorporating additional data from Medicare outpatient claims. We compared our results to the previous algorithm in terms of baseline prevalence and incidence of PD, as well as associations with baseline smoking characteristics.

METHODS: Our original case ascertainment used self-reported diagnosis, antiparkinsonian medication, and hospitalization discharge International Classification of Diseases-Ninth version code. In this study, we incorporated additional data from fee-for-service Medicare claims, extended follow-up time, review of hospitalization records, and adjudicated cause of death. Two movement disorders specialists adjudicated final PD status. We used logistic regression models and controlled for age, sex, African American race, and education.

RESULTS: We identified 75 additional cases but reclassified 80 previously identified cases as not having PD. We observed significant inverse association with smoking status (odds ratio = 0.42; 95\% confidence interval (CI) = 0.22, 0.79), and inverse linear trends with pack-years (p = 0.005), and cigarettes per day (p = 0.019) with incident PD. All estimates were stronger than those from the previous algorithm.

CONCLUSIONS: Our enhanced method did not alter prevalence and incidence estimates compared with our previous algorithm. However, our enhanced method provided stronger estimates of association, potentially due to reduced level of disease misclassification.

}, keywords = {Aged, Aged, 80 and over, Algorithms, Antiparkinson Agents, Cohort Studies, Databases, Factual, Female, Hospitalization, Humans, Incidence, Logistic Models, Male, Medicare, Parkinson Disease, Prevalence, Prospective Studies, Smoking, Time Factors, United States}, issn = {1099-1557}, doi = {10.1002/pds.3552}, author = {Ton, Thanh G N and Biggs, Mary Lou and Comer, Diane and Curtis, Lesley and Hu, Shu-Ching and Thacker, Evan L and Searles Nielsen, Susan and Delaney, Joseph A and Landsittel, Douglas and Longstreth, William T and Checkoway, Harvey and Jain, Samay} }