Studies on the distribution of bone mineral density (BMD) values in different age groups and in different populations are valuable for understanding the causes of the appreciable geographical variability in fracture incidence. We studied a population of southern Italy in an area where the incidence of hip fracture had been previously estimated. With a completion rate of 85%, we recruited a group of 264 women between 45 and 79 years of age, representative of non-institutionalized and active women in the population, and measured bone density both at the lumbar spine (L1-L4) and at the right femoral neck using a dual X-ray absorptiometry (DEXA) system. We report the age group distribution of BMD in this population. The elderly showed higher mineralization, as compared to an international pooled sample. The prevalence of osteoporosis among women of 50-79 years of age was 40%; the rate changed according to the measurement site. Our results show that a large proportion of women would not have been diagnosed as having osteoporosis if we had relied on a single measurement site. A very low percentage of cases (as low as 4% in the 50-59 years age group) was diagnosed at both sites. The lack of concordance in BMD estimate between measurement sites is significant at younger ages, with an almost dichotomous distribution of cases diagnosed either at the lumbar or femoral site, suggesting the hypothesis that distinct patterns of bone involvement and bone mass lowering exist and all eventually lead to systemic involvement. Longitudinal follow-up of this population should help address some of the questions raised by these results.
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http://dx.doi.org/10.1007/BF03339634 | DOI Listing |
Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Arch Ital Urol Androl
January 2025
Department of Urology, School of Medicine, Shiraz University of Medical Sciences, Shiraz.
Objectives: This research aimed to compare the prostate cancer (PCa) features, survival rate, and functional outcomes after open suprapubic Radical Prostatectomy (RP) between younger men (≤ 55 years) and older men (> 55 years).
Methods: In this retrospective cohort study, we studied 134 patients with clinically localized PCa who underwent RP at our centers between 2011 and 2019, with 26 (19.40%) patients aged ≤ 55.
J Atten Disord
January 2025
Johns Hopkins Aramco Healthcare, Clinical Psychology and Counseling Services Unit, Saudi Arabia.
Objective: This study investigated the psychometric properties of the Arabic version of the Adult Self-Report Scale-5 (the ASRS-5-AR) within a large sample of adults residing in Saudi Arabia.
Methods: This cross-sectional study applied the ASRS-5-AR to a random sample of 4,299 Saudi and non-Saudi adults, aged 19 to 66 years (31.16 ± 9.
Circ Genom Precis Med
January 2025
Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston. (S.M.U., K.P., B.T., A.C.F., P.N.).
Background: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. We sought to understand how the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction.
View Article and Find Full Text PDFStroke
January 2025
Department of Neurology, University of Pennsylvania, PA. (L.I., S.E.Z., S.E.K., B.L.C.).
Background: A modified computed tomography angiography (CTA)-based Carotid Plaque Reporting and Data System (Plaque-RADS) classification was applied to a cohort of patients with embolic stroke of undetermined source to test whether high-risk Plaque-RADS subtypes are more prevalent on the ipsilateral side of stroke. With the widespread use of CTA for stroke evaluation, a CTA-based Plaque-RADS would be valuable for generalizability.
Methods: A retrospective observational cross-sectional study was conducted at a single integrated health system comprised of 3 hospitals with a comprehensive stroke center between October 1, 2015, and April 1, 2017.
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