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J Gerontol A Biol Sci Med Sci ; 2022 Aug 02.
Article in English | MEDLINE | ID: covidwho-2298449

ABSTRACT

BACKGROUND: Identifying late-life men who might benefit from treatment to prevent fracture is challenging given high mortality. Our objective was to evaluate risks of clinical fracture, hip fracture, and mortality prior to fracture among men ≥80 years. METHODS: Study participants included 3,145 community-dwelling men (mean [SD] age 83 [2.8] years) from the Osteoporotic Fractures in Men (MrOS) Study. We used separate multivariable Fine-Gray competing risk models with pre-specified risk factors [age, hip bone mineral density (BMD), recent fracture (<5 years), fall history (previous year), and multimorbidity (# conditions)] to estimate sub-distribution hazard ratios and absolute 5-year risks of any clinical fracture and mortality prior to clinical fracture. Secondary analysis considered hip fracture. RESULTS: There were 414 incident clinical fractures and 595 deaths without prior fracture within 5 years. BMD, fall history, and recent fracture were strong predictors of clinical fracture. Age and multimorbidity were strong predictors of mortality before fracture. After accounting for competing risks, age, BMD, and fall history were each associated with both risk of hip fracture and mortality before hip fracture. Model discrimination varied from 0.65 (mortality before fracture) to 0.79 (hip fracture). Estimated mortality differed substantially among men with similar clinical fracture risk due to modest correlation between fracture risk and competing mortality risk=0.37. CONCLUSIONS: In late-life men, strong risk factors for clinical fracture and hip fracture include fall history, BMD, and recent fracture. Osteoporosis drug treatment decisions may be further enhanced by consideration of fracture risk versus overall life expectancy.

2.
J Gerontol A Biol Sci Med Sci ; 2023 Feb 09.
Article in English | MEDLINE | ID: covidwho-2229169

ABSTRACT

BACKGROUND: The Study of Muscle, Mobility and Aging (SOMMA) aims to understand the biological basis of many facets of human aging, with a focus on mobility decline, by creating a unique platform of data, tissues, and images. METHODS: The multidisciplinary SOMMA team includes two clinical centers (University of Pittsburgh and Wake Forest University), a biorepository (Translational Research Institute at Advent Health), and the San Francisco Coordinating Center (California Pacific Medical Center Research Institute). Enrollees were age ≥70 years, able to walk ≥0.6 m/s (4 meters); able to complete 400m walk, free of life-threatening disease, and had no contraindications to magnetic resonance or tissue collection. Participants are followed with 6-month phone contacts and annual in-person exams. At baseline, SOMMA collected biospecimens (muscle and adipose tissue, blood, urine, fecal samples); a variety of questionnaires; physical and cognitive assessments; whole-body imaging (magnetic resonance and computed tomography); accelerometry; and cardiopulmonary exercise testing. Primary outcomes include change in walking speed, change in fitness, and objective mobility disability (able to walk 400m in 15 min and change in 400m speed). Incident events, including hospitalizations, cancer diagnoses, fractures, and mortality are collected and centrally adjudicated by study physicians. RESULTS: SOMMA exceeded its goals by enrolling 879 participants, despite being slowed by the COVID-19 pandemic: 59.2% women; mean age 76.3±5.0 years (range 70-94); mean walking speed 1.04±0.20 m/s; 15.8% identify as other than Non-Hispanic White. Over 97% had data for key measurements. CONCLUSIONS: SOMMA will provide the foundation for discoveries in the biology of human aging and mobility.

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