{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T01:56:07Z","timestamp":1793411767997,"version":"4.5.0"},"reference-count":33,"publisher":"American Medical Association (AMA)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"Importance<\/jats:title>Limited knowledge about interactions among health disorders impedes optimal patient care. Because comorbidities are common among patients 50 years and older with fractures, these fractures provide a useful setting for studying interactions among disorders.<\/jats:p><\/jats:sec>Objective<\/jats:title>To define multimorbidity clusters at the time of fracture and quantify the interaction between multimorbidity and fracture in association with postfracture excess mortality.<\/jats:p><\/jats:sec>Design, Setting, and Participants<\/jats:title>This nationwide cohort study included 307\u202f870 adults in Denmark born on or before January 1, 1951, who had an incident low-trauma fracture between January 1, 2001, and December 31, 2014, and were followed up through December 31, 2016. Data were analyzed from February 1 to March 31, 2022.<\/jats:p><\/jats:sec>Main Outcomes and Measures<\/jats:title>Fracture and 32 predefined chronic diseases recorded within 5 years before the index fracture were identified from the Danish National Hospital Discharge Register. Death was ascertained from the Danish Register on Causes of Death. Latent class analysis was conducted to identify multimorbidity clusters. Relative survival analysis was used to quantify excess mortality associated with the combination of multimorbidity and fractures at specific sites.<\/jats:p><\/jats:sec>Results<\/jats:title>Among the 307 870 participants identified with incident fractures, 95\u202f372 were men (31.0%; mean [SD] age at fracture, 72.3\u2009[11.2] years) and 212\u202f498 were women (69.0%; mean [SD] age at fracture, 74.9\u2009[11.2] years). During a median of 6.5 (IQR, 3.0-11.0) years of follow-up, 41\u202f017 men (43.0%) and 81\u202f727 women (38.5%) died. Almost half of patients with fractures (42.9%) had at least 2 comorbidities. Comorbidities at fracture were categorized as low-multimorbidity (60.5% in men and 66.5% in women), cardiovascular (23.7% in men and 23.5% in women), diabetic (5.6% in men and 5.0% in women), malignant (5.1% in men and 5.0% in women), and mixed hepatic and\/or inflammatory (5.1% in men only) clusters. These clusters distinguished individuals with advanced, complex, or late-stage disease from those with earlier-stage disease. Multimorbidity and proximal or lower leg fractures were associated with increased mortality risk, with the highest excess mortality found in patients with hip fracture in the malignant cluster (1-year excess mortality: 40.8% [95% CI: 38.1%-43.6%]). The combination of multimorbidity and fracture compounded the association with mortality, conferring much greater risk than either alone.<\/jats:p><\/jats:sec>Conclusions and Relevance<\/jats:title>Concomitant illnesses were common and clustered into distinct multimorbidity clusters that were associated with excess postfracture mortality. The compound contribution of multimorbidity to postfracture excess mortality highlights the need for more comprehensive approaches in these high-risk patients. The analytical approach applied to fracture could also be used to examine other sentinel health events.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2022.35856","type":"journal-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:23:55Z","timestamp":1665415435000},"page":"e2235856","source":"Crossref","is-referenced-by-count":38,"title":["Association of Multimorbidity and Excess Mortality After Fractures Among Danish Adults"],"prefix":"10.1001","volume":"5","author":[{"given":"Thach","family":"Tran","sequence":"first","affiliation":[{"name":"Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia"},{"name":"Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia"},{"name":"School of Biomedical Engineering, University of Technology, Sydney, New South Wales, 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Aalborg, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tuan V.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, University of Technology, Sydney, New South Wales, Australia"},{"name":"School of Medicine Sydney, University of Notre Dame Australia, Sydney, New South Wales"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert D.","family":"Blank","sequence":"additional","affiliation":[{"name":"Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacqueline R.","family":"Center","sequence":"additional","affiliation":[{"name":"Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia"},{"name":"Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia"},{"name":"School of Medicine Sydney, University of Notre Dame 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