Background And Purpose: This study aimed to determine, among older men, the risk and independent significant baseline prognostic factors for first-ever stroke and MI.
Methods: We performed a prospective cohort study of 4382 community-dwelling older men (mean age, 75.4±4.2 years) with no history of stroke or MI. Baseline data comprised questionnaire responses, clinical measurements, and comorbidity.
Results: After a median of 6 years (interquartile range, 5.2-7.2) of follow-up, the overall rate of stroke/MI was 2.61 (95% CI, 2.42-2.81) per 100 person-years. Among major traditional risk prediction variables, only age and smoking were significantly associated with stroke/MI. In our final multivariate model, the independent significant predictors of stroke/MI were age (HR for age older than 85, 3.18; 95% CI, 2.05-4.93), diastolic blood pressure <70 mm Hg (Hazard ratio [HR], 1.45; 95% CI, 1.18-1.78), high-sensitivity C-reactive protein >3 mg/L (HR, 1.29; 95% CI, 1.05-1.59), homocysteine >15 umol/L (HR, 1.35; 95% CI, 1.09-1.67), waist-to-hip ratio >1 (HR, 1.47; 95% CI, 1.20-1.18), and fair or poor self-reported health (HR, 1.52; 95% CI, 1.19-1.94). A new risk model incorporating these variables performed well compared with the Framingham risk equation (Harrell C of 0.660 versus C of 0.620; integrated discrimination improvement of 1.85%; z=4.95; P<0.001; net reclassification index of 0.08; z=2.0; P=0.023). The model was used to develop an 8- point clinical risk score comprising the independent predictors of stroke/MI among this population.
Conclusions: Traditional vascular risk factors did not optimally predict stroke/MI among this cohort of community-dwelling older men. We have constructed a new risk score that requires validation in other data sets.
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http://dx.doi.org/10.1161/STROKEAHA.110.603480 | DOI Listing |
Chem Rec
January 2025
Institute of Radiation Medicine, Peking Union Medical College & Chinese Academy of Medical Sciences, Tianjin, 300192, China.
Target identification is crucial for drug screening and development because it can reveal the mechanism of drug action and ensure the reliability and accuracy of the results. Chemical biology, an interdisciplinary field combining chemistry and biology, can assist in this process by studying the interactions between active molecular compounds and proteins and their physiological effects. It can also help predict potential drug targets or candidates, develop new biomarker assays and diagnostic reagents, and evaluate the selectivity and range of active compounds to reduce the risk of off-target effects.
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Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Background And Aims: Vitamin D binding protein (DBP) serves a dual function as a vitamin D carrier and actin scavenger. Free DBP is present in high concentrations in serum, while a smaller pool is bound to lipoproteins like HDL and VLDL. The role of DBP's interaction with lipoproteins remains unclear.
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January 2025
Hebrew Senior Life Hinda and Arthur Marcus Institute for Aging Research, Harvard Medical School, Boston, MA, United States.
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Cell Biology Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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Soil contamination by heavy metals (HM) is a critical area of research. Traditional methods involving sample collection and lab analysis are effective but costly and time-consuming. This study explores whether geostatistical analysis with GIS and open data can provide a faster, more precise, and cost-effective alternative for HM contamination assessment without extensive sampling.
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