Objective: The prevalence of type 2 diabetes is increased in polycystic ovary syndrome (PCOS), but the prevalence of other diseases is not clarified. We aimed to investigate morbidity and medicine prescriptions in PCOS. Design: A National Register-based study. Methods: Patients with PCOS (PCOS Denmark and an embedded cohort; PCOS Odense University Hospital (OUH)) and one control population. Premenopausal women with PCOS underwent clinical and biochemical examination (PCOS OUH, nZ1217). PCOS Denmark (nZ19 199) included women with PCOS in the Danish National Patient Register. Three age-matched controls were included per patient (nZ57 483). Main outcome measures: Diagnosis codes and filled prescriptions. Results: The mean (range) age of the PCOS Denmark group and controls was 30.6 (12-60) years. Patients in PCOS Denmark had higher Charlson index, higher prevalence of diabetes, dyslipidemia, and hypertension than controls. PCOS was associated with a two times increased risk of stroke and thrombosis, whereas the risk of other cardiovascular diseases was not increased. Thyroid disease, asthma, migraine, and depression were more prevalent in PCOS Denmark vs controls, whereas fractures were rarer. Infertility was increased in patients compared with controls, but the mean number of births was higher in PCOS. Medicine prescriptions within all diagnosis areas were significantly higher in PCOS patients than in controls. In PCOS OUH, polycystic ovaries (PCO) and irregular menses were associated with a more adverse metabolic risk profile, but individual Rotterdam criteria were not associated with cardiometabolic diagnoses. Conclusion: Cardiometabolic and psychiatric morbidity were significantly increased in a Danish population with PCOS. Medical diseases are frequent also in young patients with PCOS.

The event rate of T2D was higher in PCOS compared with controls, and T2D was diagnosed at a younger age.

A huge number of risk assessment tools have been developed. Far from all have been validated in external studies, more of them have absence of methodological and transparent evidence, and few are integrated in national guidelines. Therefore, we performed a systematic review to provide an overview of existing valid and reliable risk assessment tools for prediction of osteoporotic fractures. Additionally, we aimed to determine if the performance of each tool was sufficient for practical use, and last, to examine whether the complexity of the tools influenced their discriminative power. We searched PubMed, Embase, and Cochrane databases for papers and evaluated these with respect to methodological quality using the Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS) checklist. A total of 48 tools were identified; 20 had been externally validated, however, only six tools had been tested more than once in a population-based setting with acceptable methodological quality. None of the tools performed consistently better than the others and simple tools (i.e., the Osteoporosis Self-assessment