Number of medically prescribed pharmaceutical agents as predictor of mortality risk: a longitudinal, time-variable analysis in the EPIC-Heidelberg cohort.

The number of prescribed medications might be used as proxy indicator for general health status, in models to predict mortality risk. To estimate the time-varying association between active pharmaceutical ingredient (API) count and all-cause mortality, we analyzed data from a population cohort in Heidelberg (Germany), including 25,546 participants with information on medication use collected at 3-yearly intervals from baseline recruitment (1994-1998) until end of 2014. A total of 4548 deaths were recorded until May 2019. Time-dependent modeling was used to estimate hazard ratios (HR) and their 95% confidence intervals (CI) for all-cause mortality in relation to number of APIs used, within three strata of age (≤ 60, > 60 to ≤ 70 and > 70 years) and adjusting for lifestyle-related risk factors. For participants reporting commonly used APIs only (i.e., API types accounting for up to 80% of medication time in the population) total API counts showed no association with mortality risk within any age stratum. However, when at least one of the APIs was less common, the total API count showed a strong relationship with all-cause mortality especially up to age ≤ 60, with HR up to 3.70 (95% CI 2.30-5.94) with 5 or 6 medications and 8.19 (5.61-11.97) for 7 or more APIs (versus none). Between > 60 and 70 years of age this risk association was weaker, with HR up to 3.96 (3.14-4.98) for 7 or more APIs, and above 70 years it was weakened further (HR up to 1.54 (1.34-1.79)). Multiple API-use may predict mortality risk in middle-aged and women and men ≤ 70 years, but only if it includes at least one less frequently used API type. With advancing age, and multiple medication becomes increasingly prevalent, the association of API count with risk of death progressively attenuates, suggesting an increasing complexity with age of underlying mortality determinants.

Sex- and Age Group-Specific Fracture Incidence Rates Trends for Type 1 and 2 Diabetes Mellitus.

The incidence of major osteoporotic fractures has declined in men and women in Western countries over the last two decades. Although fracture risk is higher in persons with diabetes mellitus, trends of fractures remain unknown in men and women with diabetes. We investigated the trends in fracture incidence rates (IRs) in men and women with type 1 diabetes mellitus (T1D) and type 2 diabetes mellitus (T2D) in Denmark between 1997 and 2017. We identified men and women aged 18+ years who sustained a fracture (excluding skull and facial fractures) between 1997 and 2017 using the Danish National Patient Registry. We calculated sex-specific IRs of fractures per 10,000 person-years separately in persons with T1D, T2D, or without diabetes. Furthermore, we compared median IRs of the first 5 years (1997-2002) to the median IRs of the last 5 years (2012-2017). We identified 1,235,628 persons with fractures including 4863 (43.6% women) with T1D, 65,366 (57.5% women) with T2D, and 1,165,399 (54.1% women) without diabetes. The median IRs of fractures declined 20.2%, 19.9%, and 7.8% in men with T1D, T2D, and without diabetes, respectively (p-trend <0.05). The median IRs decreased 6.4% in women with T1D (p-trend = 0.35) and 25.6% in women with T2D (p-trend <0.05) but increased 2.3% in women without diabetes (p-trend = 0.08). Fracture IRs decreased in men with both diabetes types and only in women with T2D, highlighting the need for further attention behind the stable trend observed in women with T1D. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Low Bone Turnover Associates With Lower Insulin Sensitivity in Newly Diagnosed Drug-Naïve Persons With Type 2 Diabetes.

CONTEXT: Bone turnover markers (BTMs) are lower in type 2 diabetes mellitus (T2D). The relationships between bone turnover, ß-cell function, and insulin sensitivity in T2D are uncertain. OBJECTIVE: To investigate if fasting levels of BTMs in persons with T2D are associated with ß-cell function or insulin sensitivity. METHODS: We defined three T2D phenotypes, the insulinopenic (low ß-cell function, high insulin sensitivity), the classical (low ß-cell function, low insulin sensitivity), and the hyperinsulinemic (high ß-cell function, low insulin sensitivity) phenotypes, in the Danish Centre for Strategic Research T2D cohort using the homeostatic model assessment. We selected age- and gender-matched subgroups to represent the three T2D phenotypes, yielding 326 glucose-lowering treatment-naïve persons with T2D. Median values of BTMs between the three T2D phenotypes were compared. Regression models were applied to assess the association between BTMs, ß-cell function, and insulin sensitivity adjusted for potential confounders. RESULTS: Median serum levels of procollagen type I N-terminal propeptide, C-terminal telopeptide of type I collagen, and osteocalcin were higher in the insulinopenic phenotype (52.3 µg/L, IQR 41.6, 63.3; 259.4 ng/L, IQR 163.4, 347.7; and 18.0 µg/L, IQR 14.4, 25.2, respectively) compared with the classical (41.4, IQR 31.0, 51.4; 150.4 IQR 103.5, 265.1; 13.1, IQR 10.0, 17.6, respectively) and the hyperinsulinemic (43.7, IQR 32.3, 57.3; 163.3, IQR 98.9, 273.1; 15.7 IQR 10.2, 20.8, respectively) phenotypes (all P < .01). These differences persisted after adjustment for age, sex, waist to hip ratio, or fasting plasma glucose (P < .01). CONCLUSION: BTMs are lower in newly diagnosed persons with T2D characterized by low insulin sensitivity.

Site-Specific Fracture Incidence Rates Among Patients With Type 1 Diabetes, Type 2 Diabetes, or Without Diabetes in Denmark (1997-2017).

OBJECTIVE: To investigate trends in incidence rates (IRs) at various fracture sites for patients with type 1 diabetes and type 2 diabetes compared with patients without diabetes in Denmark in 1997-2017. RESEARCH DESIGN AND METHODS: Patients aged ≥18 years with a vertebral, hip, humerus, forearm, foot, or ankle fracture between 1997 and 2017 were identified from Danish hospital discharge data. IRs per 10,000 person-years were calculated over the study period. Median IRs for the first (1997-2001) and the last (2013-2017) 5 years were compared. We used Poisson models to estimate age-adjusted IR ratios (IRRs) of fractures among patients with type 1 and type 2 diabetes versus patients without diabetes. RESULTS: Except for foot fractures, fracture IRs were higher in patients with type 1 or type 2 diabetes compared with patients without diabetes. Hip fracture IRs declined between the first and last 5 years by 35.2%, 47.0%, and 23.4% among patients with type 1, type 2, and without diabetes, respectively. By contrast, vertebral fracture IRs increased 14.8%, 18.5%, 38.9%, respectively. While age-adjusted IRRs remained elevated in patients with type 1 diabetes compared with patients without diabetes, IRRs in patients with type 2 diabetes converged with those observed in patients without diabetes. CONCLUSIONS: Unadjusted fracture rates are higher in patients with diabetes but have decreased between 1997 and 2017 except for vertebral fractures, which increased in all groups. Fracture rates change after age adjustment.