Ten-year follow-up of fracture risk in a systematic population-based screening program: the risk-stratified osteoporosis strategy evaluation (ROSE) randomised trial.

Background: Osteoporotic fractures pose a growing public health concern. Osteoporosis is underdiagnosed and undertreated, highlighting the necessity of systematic screening programs. We aimed to evaluate the effectiveness of a two-step population-based osteoporotic screening program. Methods: This ten-year follow-up of the Risk-stratified Osteoporosis Strategy Evaluation (ROSE) randomized trial tested the effectiveness of a screening program utilizing the Fracture Risk Assessment Tool (FRAX) for major osteoporotic fractures (MOF) to select women for dual-energy x-ray absorptiometry (DXA) scan following standard osteoporosis treatment. Women residing in the Region of Southern Denmark, aged 65-80, were randomised (single masked) into a screening or a control group by a computer program prior to inclusion and subsequently approached with a mailed questionnaire. Based on the questionnaire data, women in the screening group with a FRAX value ≥15% were invited for DXA scanning. The primary outcome was MOF derived from nationwide registers. ClinicalTrials.gov: NCT01388244, status: Completed. Findings: All randomised women were included February 4, 2010-January 8, 2011, the same day as approached to participate. During follow-up, 7355 MOFs were observed. No differences in incidences of MOF were identified, comparing the 17,072 women in the screening group with the 17,157 controls in the intention-to-treat analysis (IRR 1.01, 0.95; 1.06). However, per-protocol, women DXA-scanned exhibited a 14% lower incidence of MOF (IRR 0.86, 0.78; 0.94) than controls with a FRAX value ≥15%. Similar trends were observed for hip fractures, all fractures, and mortality. Interpretation: While the ROSE program had no overall effect on osteoporotic fracture incidence or mortality it showed a preventive effect for women at moderate to high risk who underwent DXA scans. Hence the overall effect might have been diluted by those who were not at an intervention level threshold risk or those who did not show up for DXA. Using self-administered questionnaires as screening tools may be inefficient for systematic screening due to the low and differential screening uptake. Funding: INTERREG and the Region of Southern Denmark.

Validity of Major Osteoporotic Fracture Diagnoses in the Danish National Patient Registry.

Objective: To evaluate the validity of diagnosis codes for Major Osteoporotic Fracture (MOF) in the Danish National Patient Registry (NPR) and secondly to evaluate whether the fracture was incident/acute using register-based definitions including date criteria and procedural codes. Methods: We identified a random sample of 2400 records with a diagnosis code for a MOF in the NPR with dates in the year of 2018. Diagnoses were coded with the 10th revision of the International Classification of Diseases (ICD-10). The sample included 2375 unique fracture patients from the Region of Southern Denmark. Medical records were retrieved for the study population and reviewed by an algorithmic search function and medical doctors to verify the MOF diagnoses. Register-based definitions of incident/acute MOF was evaluated in NPR data by applying date criteria and procedural codes. Results: The PPV for MOF diagnoses overall was 0.99 (95% CI: 0.98;0.99) and PPV=0.99 for the four individual fracture sites, respectively. Further, analyses of incident/acute fractures applying date criteria, procedural codes and using patients' first contact in the NPR resulted in PPV=0.88 (95% CI: 0.84;0.91) for hip fractures, PPV=0.78 (95% CI: 0.74;0.83) for humerus fractures, PPV=0.78 (95% CI: 0.73;0.83) for clinical vertebral fractures and PPV=0.87 (95% CI: 0.83;0.90) for wrist fractures. Conclusion: ICD-10 coded MOF diagnoses are valid in the NPR. Furthermore, a set of register-based criteria can be applied to qualify if the MOF fracture was incident/acute. Thus, the NPR is a valuable and reliable data source for epidemiological research on osteoporotic fractures.

Real-world treatment patterns and outcomes for patients with multiple myeloma in Denmark, Finland and Sweden: An analysis using linked Nordic registries.

AIM: The Health outcomes and Understanding of MyelomA multi-National Study (HUMANS) was a large-scale, retrospective study conducted across Denmark, Finland and Sweden using linked data from national registries. We describe the characteristics, treatment patterns and clinical outcomes for patients with newly diagnosed multiple myeloma (NDMM) over 2010-2018. METHODS: Patients with NDMM who received MM-specific, first-line treatments, were categorised by treatment (autologous stem cell transplantation [ASCT] or a combination chemotherapy regimen based on bortezomib, lenalidomide or melphalan-prednisolone-thalidomide). RESULTS: 11,023 patients received treatment over 2010-2018. Time between diagnosis and treatment was shortest in Denmark (0.9 months), then Sweden (2.9 months) and Finland (4.6 months). Around one third of patients underwent ASCT. Lenalidomide-based regimens were prescribed to 23-28% of patients in Denmark and Finland, versus 12% in Sweden. Patients receiving lenalidomide had the longest wait for treatment, from 3.2 months (Denmark) to 12.1 months (Sweden). Treatment persistence was highest among patients receiving melphalan-prednisolone-thalidomide (7-8 months) in Finland and Sweden and lowest among those receiving bortezomib (3.5 months) in Finland. Overall survival (OS) was longest among patients with ASCT (7-10 years). Among patients receiving chemotherapy, OS (from diagnosis/treatment initiation), varied between cohorts. In a sensitivity analysis excluding patients with smouldering MM, OS decreased for all; for patients receiving bortezomib or lenalidomide, OS from diagnosis was 40-49 and 27-54 months, respectively. CONCLUSIONS: This population-based study of patients with NDMM receiving first-line MM-specific treatment, provides real-world data on treatment patterns and outcomes to complement data from randomised clinical trials.

Major lower extremity amputations - risk of re-amputation, time to re-amputation, and risk factors: a nationwide cohort study from Denmark.

BACKGROUND AND PURPOSE: Re-amputation after lower extremity amputation is frequent. The primary aim of our study was to investigate cumulative re-amputation risk after transtibial amputation (TTA), knee disarticulation (KD), and transfemoral amputation (TFA) and secondarily to investigate time to re-amputation, and risk factors. METHODS: This observational cohort study was based on data from the Danish Nationwide Health registers. The population included first-time major lower extremity amputations (MLEA) performed in patients ≥ 50 years between 2010 and 2021. Both left and right sided MLEA from the same patient were included as index procedures. RESULTS: 11,743 index MLEAs on 10,052 patients were included. The overall cumulative risks for re-amputation were 29% (95% confidence interval [CI] 27-30), 30% (CI 26-35), and 11% (CI 10-12) for TTA, KD, and TFA, respectively. 58% of re-amputations were performed within 30 days after index MLEA. Risk factors for re-amputation within 30 days were dyslipidemia (hazard ratio [HR] 1.2, CI 1.0-1.3), renal insufficiency (HR 1.2, CI 1.1-1.4), and prior vascular surgery (HR 1.3, CI 1.2-1.5). CONCLUSION: The risk of re-amputation was more than twice as high after TTA (29%) and KD (30%) compared with TFA (11%). Most re-amputations were conducted within 30 days of the index MLEA. Dyslipidemia, renal insufficiency, and prior vascular surgery were associated with higher risk of re-amputation.

Kidney Disease in Women With Previous Gestational Diabetes Mellitus: A Nationwide Register-Based Cohort Study.

OBJECTIVE: The association between gestational diabetes mellitus (GDM) and incident kidney disease, the mediating effects of diabetes and hypertension, and the impact of severity of metabolic dysfunction during pregnancy on the risk of incident kidney disease were investigated in this study. RESEARCH DESIGN AND METHODS: This Danish, nationwide, register-based cohort study included all women giving birth between 1997 and 2018. Outcomes included chronic kidney disease (CKD) and acute kidney disease, based on diagnosis codes. Cox regression analyses explored the association between GDM and kidney disease. A proxy for severity of metabolic dysfunction during pregnancy was based on GDM diagnosis and insulin treatment during GDM in pregnancy and was included in the models as an interaction term. The mediating effects of subsequent diabetes and hypertension prior to kidney disease were quantified using mediation analyses. RESULTS: Data from 697,622 women were used. Median follow-up was 11.9 years. GDM was associated with higher risk of CKD (adjusted hazard ratio [aHR] 1.92; 95% CI 1.67-2.21), whereas acute kidney disease was unrelated to GDM. The proportions of indirect effects of diabetes and hypertension on the association between GDM and CKD were 75.7% (95% CI 61.8-89.6) and 30.3% (95% CI 25.2-35.4), respectively, as assessed by mediation analyses. The CKD risk was significantly increased in women with insulin-treated GDM and no subsequent diabetes compared with women without GDM (aHR 2.35; 95% CI 1.39-3.97). CONCLUSIONS: The risk of CKD was significantly elevated after GDM irrespective of subsequent development of diabetes and hypertension. Furthermore, women with severe metabolic dysfunction during pregnancy had the highest CKD risk.

Digital solutions for decision support in general practice - a rapid review focused on systems developed for the universal healthcare setting in Denmark.

BACKGROUND: Digital health solutions hold the potential for supporting general practitioners in decision-making, and include telemedicine systems, decision support systems, patient apps, wearables, fitness trackers, etc. AIM: This review aimed to identify digital solutions developed for, tested, or implemented in general practice to support the decisions of GPs in disease detection and management, using Denmark as an example country of a universal healthcare setting. METHODS: This study was conducted as a rapid review. The primary search included a database search conducted in Embase and MEDLINE. The supplementary search was conducted in Infomedia and additionally included a snowball search in reference lists and citations of key articles identified in the database search. Titles were screened by two reviewers. RESULTS: The review included 15 studies as key articles describing a total of 13 digital solutions for decision support in general practice in Denmark. 1.123 titles were identified through the database search and 240 titles were identified through the supplementary and snowball search. CONCLUSIONS: The review identified 13 digital solutions for decision support in general practice in a Danish healthcare setting aimed at detection and/or management of cancer, COPD, type 2 diabetes, depression, liver disease or multiple lifestyle-related diseases. Implementation aspects should be reported more transparently in future publications to enable applicability of digital solutions as decision support to aid general practitioners in disease detection and management.

Excess mortality following a first and subsequent osteoporotic fracture: a Danish nationwide register-based cohort study on the mediating effects of comorbidities.

OBJECTIVES: This study aimed to examine the risk of mortality following incident and subsequent osteoporotic fractures, the effect of different fracture type combinations, and the mediating role of postfracture morbidity in a Danish population. METHODS: We used the National Patient Registry to identify patients ≥60 years with incident major osteoporotic fracture of the hip, vertebrae, wrist or humerus between 2013 and 2018, and controls matched 1:10 on age and sex. Possible mediators were identified using International Classification of Diseases, 10th Revision codes registered in the 6 months following index fracture. HRs were estimated using Cox regression analyses with 95% CIs. The effect of possible mediators was estimated using mediation analyses. RESULTS: The study included 106 303 patients and 1 062 988 controls. Mortality following index fracture was highest in the month following hip fractures (HR 10.98 (95% CI 10.23 to 11.79) in women and HR 16.40 (95% CI 15.00 to 17.93) in men). Subsequent hip fractures resulted in the highest HRs for all fracture type combinations. In women, the highest HR was observed in patients with index wrist/subsequent hip fractures (HR 2.43 (95% CI 2.12 to 2.78)). In men, the highest HR was observed in patients with index humerus/subsequent hip fractures (HR 2.69 (95% CI 2.04 to 3.54)). Pneumonia mediated the largest proportion of mortality, but dehydration, urinary tract infection and sepsis were also important factors. CONCLUSIONS: The highest mortality risk was found in the month immediately following both index and subsequent fracture. The combination of index and subsequent fractures at different skeletal sites had a substantial impact on the risk of mortality. Postfracture morbidities were found mediate the association.

An enhanced version of FREM (Fracture Risk Evaluation Model) using national administrative health data: analysis protocol for development and validation of a multivariable prediction model.

BACKGROUND: Osteoporosis poses a growing healthcare challenge owing to its rising prevalence and a significant treatment gap, as patients are widely underdiagnosed and consequently undertreated, leaving them at high risk of osteoporotic fracture. Several tools aim to improve case-finding in osteoporosis. One such tool is the Fracture Risk Evaluation Model (FREM), which in contrast to other tools focuses on imminent fracture risk and holds potential for automation as it relies solely on data that is routinely collected via the Danish healthcare registers. The present article is an analysis protocol for a prediction model that is to be used as a modified version of FREM, with the intention of improving the identification of subjects at high imminent risk of fracture by including pharmacological exposures and using more advanced statistical methods compared to the original FREM. Its main purposes are to document and motivate various aspects and choices of data management and statistical analyses. METHODS: The model will be developed by employing logistic regression with grouped LASSO regularization as the primary statistical approach and gradient-boosted classification trees as a secondary statistical modality. Hyperparameter choices as well as computational considerations on these two approaches are investigated by an unsupervised data review (i.e., blinded to the outcome), which also investigates and handles multicollinarity among the included exposures. Further, we present an unsupervised review of the data and testing of analysis code with respect to speed and robustness on a remote analysis environment. The data review and code tests are used to adjust the analysis plans in a blinded manner, so as not to increase the risk of overfitting in the proposed methods. DISCUSSION: This protocol specifies the planned tool development to ensure transparency in the modeling approach, hence improving the validity of the enhanced tool to be developed. Through an unsupervised data review, it is further documented that the planned statistical approaches are feasible and compatible with the data employed.

Elevated risk of developing type 2 diabetes in people with a psychiatric disorder: What is the role of health behaviors and psychotropic medication?

AIMS: Several psychiatric disorders are linked with an increased risk of developing type 2 diabetes (T2D), but the mediating mechanisms are unclear. We aimed to investigate health behaviors, obesity, psychotropic medication use, and comorbidity as potential mediating mechanisms explaining these associations. METHODS: We combined data from a large population-based survey with register-based data and followed a sample of 250,013 Danes (≥16 years) for up to 8.9 years. We conducted mediation analyses investigating 10 potential mediators of the associations between psychiatric disorders and incident T2D. RESULTS: Individuals with a substance use disorder, schizophrenia, mood disorder, neurotic disorder, eating disorder, or a personality disorder had a significantly higher risk of developing T2D. Organic disorders, intellectual disabilities, developmental and behavioral disorders were not associated with T2D-risk. For all psychiatric disorders significantly associated with T2D, the use of antidepressant medication had the largest proportional mediating effect on the association (13-32 %). CONCLUSIONS: Use of antidepressant medication had the largest contribution to the associations between psychiatric disorders and incident T2D. Future epidemiological studies and prevention studies should focus on optimizing the use of antidepressant medication with minimal side effects, and the promotion of health behaviors in individuals with a psychiatric disorder to prevent T2D.

Gender-affirming treatment and mental health diagnoses in Danish transgender persons: a nationwide register-based cohort study.

IMPORTANCE: Gender affirming treatment aims to improve mental health. OBJECTIVE: To investigate longitudinal mental health outcomes in Danish transgender persons. DESIGN: National register-based cohort study in Danish transgender persons with diagnosis code of "gender identity disorder" during the period 2000-2021. PARTICIPANTS: Five age-matched controls of the same sex at birth and five age-matched controls of the other sex at birth were included for each transgender person. MAIN OUTCOMES: Diagnosis codes of mental and behavioral disorders and/or prescription of psychopharmacological agents until June 2022. RESULTS: The cohort included 3812 transgender persons with median age (interquartile range) 19 (15; 24) years for persons assigned female at birth (AFAB, N = 1993) and 23 (19; 33) years for persons assigned male at birth (AMAB, N = 1819) and 38 120 controls. Follow up duration was up to 10 years with mean (standard deviation) 4.5 (4.3) years. In transgender persons AFAB compared to control women, the odds ratio (OR) (95% confidence interval) for mental and behavioral disorders was 6.7 (5.5; 8.1) before the index date, 9.9 (8.4; 11.7) at 1 year, 5.8 (4.4; 7.7) at 5 years, and 3.4 (2.1; 7.5) at 8 years follow up. In transgender persons AMAB compared to control men, corresponding ORs were 5.0 (4.0; 6.4), 11.3 (9.3; 13.7), 4.8 (3.5; 6.5), and 6.6 (4.2; 10.3) at 8 years follow up (all P < .001). CONCLUSION: The OR for mental health disorders was higher in transgender persons compared to controls and remained elevated throughout follow up, especially in transgender persons AMAB.

Prayer and meditation practices in the early COVID-19 pandemic: A nationwide survey among Danish pregnant women. The COVIDPregDK study.

BACKGROUND: The emergence of the COVID-19 pandemic and the derived changes in maternity care have created stress and anxiety among pregnant women in different parts of the world. In times of stress and crisis, spirituality, including spiritual and religious practices, may increase. OBJECTIVE: To describe if the COVID-19 pandemic influenced pregnant women's considerations and practises of existential meaning-making and to investigate such considerations and practices during the early pandemic in a large nationwide sample. METHODS: We used survey data from a nationwide cross-sectional study sent to all registered pregnant women in Denmark during April and May 2020. We used questions from four core items on prayer and meditation practices. RESULTS: A total of 30,995 women were invited, of whom 16,380 participated (53%). Among respondents, we found that 44% considered themselves believers, 29% confirmed a specific form of prayer, and 18% confirmed a specific form of meditation. In addition, most respondents (88%) reported that the COVID-19 pandemic had not influenced their responses. CONCLUSION: In a nationwide Danish cohort of pregnant women, existential meaning-making considerations and practices were not changed due to the COVID-19 pandemic. Nearly one in two study participants described themselves as believers, and many practised prayer and/or meditation.

Inter-grader reliability in the Danish screening programme for diabetic retinopathy.

PURPOSE: The Danish Registry of Diabetic Retinopathy includes information from >200 000 patients who attends diabetic retinopathy (DR) screening in Denmark. Screening of patients with uncomplicated type 2 diabetes is often performed by practicing ophthalmologists, while patients with type 1 and complicated type 2 diabetes attends screening at hospitals. We performed a clinical reliability study of retinal images from Danish screening facilities to explore the inter-grader agreement between the primary screening ophthalmologist and a blinded, certified grader. METHODS: Invitations to participate were sent to screening facilities across Denmark. The primary grader uploaded fundus photographs with information on estimated level of DR (International Clinical Diabetic Retinopathy scale as 0 [no DR], 1-3 [mild, moderate or severe nonproliferative DR {NPDR}], or 4 [proliferative DR {PDR}]), region of screening, image style, and screening facility. Images were then regraded by a blinded, certified, secondary grader. Weighted kappa analysis was performed to evaluate agreement. RESULTS: Fundus photographs from 230 patients (458 eyes) were received from practicing ophthalmologists (52.6%) and hospital-based grading centres (47.4%) from all Danish regions. Reported levels of DR by the primary graders were 66.8%, 12.2%, 13.1%, 1.3% and 5.5% for DR levels 0-4. The overall agreement between primary and secondary graders was 93% (κ = 0.83). Based on screening facility agreement was 96% (κ = 0.89) and 90% (κ = 0.76) for practicing ophthalmologists and hospital-based graders. CONCLUSION: In this nationwide study, we observed a high overall inter-grader agreement and based on this, it is reasonable to assume that reported DR gradings in the screening programme in Denmark, accurately reflect the truth.

Psychiatric Morbidity in Women With Previous Gestational Diabetes Mellitus: A Nationwide Register-Based Cohort Study.

OBJECTIVE: To investigate associations between previous gestational diabetes mellitus (GDM) and incident psychiatric morbidity, and to explore the role of subsequent diabetes development in psychiatric morbidity risk. RESEARCH DESIGN AND METHODS: A nationwide register-based cohort study including all women delivering in Denmark from 1997 to 2018 was conducted. GDM exposure was based on diagnosis code, whereas psychiatric morbidity outcome was based on diagnosis code and psychopharmacological medication use. Multiple Cox regression and mediation analyses were performed. RESULTS: In a study population of 660,017 women, previous GDM was associated with increased risk of depression based on diagnosis code and/or medication use (adjusted hazard ratio [aHR] 1.22 [95% CI 1.18-1.27]), any psychiatric diagnosis (aHR 1.20 [95% CI 1.13-1.27]), and any psychopharmacological medication use (aHR 1.21 [95% CI 1.17-1.25]). Moreover, risk of depressive and anxiety disorders, as well as antidepressant and antipsychotic medication use, was increased, with aHRs ranging from 1.14 (95% CI 1.05-1.25) to 1.32 (95% CI 1.22-1.42). No associations were found regarding substance use disorders, psychotic disorders, bipolar disorders, postpartum psychiatric disease, or anxiolytic medication use. Psychiatric morbidity risk was higher in women with versus without subsequent diabetes development. However, GDM history affected risk estimates only in women without subsequent diabetes. Subsequent diabetes mediated 35-42% of the associations between GDM and psychiatric morbidity. CONCLUSIONS: GDM was associated with increased psychiatric morbidity risk. Subsequent diabetes development played a significant role in future psychiatric morbidity risk after GDM, although it only partly explained the association.

Developing and Validating a Lung Cancer Risk Prediction Model: A Nationwide Population-Based Study.

Lung cancer can be challenging to diagnose in the early stages, where treatment options are optimal. We aimed to develop 1-year prediction models for the individual risk of incident lung cancer for all individuals aged 40 or above living in Denmark on 1 January 2017. The study was conducted using population-based registers on health and sociodemographics from 2007-2016. We applied backward selection on all variables by logistic regression to develop a risk model for lung cancer and applied the models to the validation cohort, calculated receiver-operating characteristic curves, and estimated the corresponding areas under the curve (AUC). In the populations without and with previously confirmed cancer, 4274/2,826,249 (0.15%) and 482/172,513 (0.3%) individuals received a lung cancer diagnosis in 2017, respectively. For both populations, older age was a relevant predictor, and the most complex models, containing variables related to diagnoses, medication, general practitioner, and specialist contacts, as well as baseline sociodemographic characteristics, had the highest AUC. These models achieved a positive predictive value (PPV) of 0.0127 (0.006) and a negative predictive value (NPV) of 0.989 (0.997) with a 1% cut-off in the population without (with) previous cancer. This corresponds to 1.2% of the screened population experiencing a positive prediction, of which 1.3% would be incident with lung cancer. We have developed and tested a prediction model with a reasonable potential to support clinicians and healthcare planners in identifying patients at risk of lung cancer.

Risk factors for and pregnancy outcomes after SARS-CoV-2 in pregnancy according to disease severity: A nationwide cohort study with validation of the SARS-CoV-2 diagnosis.

INTRODUCTION: We identified risk factors and outcomes associated with SARS-CoV-2 infection in pregnancy in a universally tested population according to disease severity and validated information on SARS-CoV-2 during pregnancy in national health registers in Denmark. MATERIAL AND METHODS: Cohort study using data from national registers and medical records including all pregnancies between March 1, 2020 and February 28, 2021. We compared women with a validated positive SARS-CoV-2 test during pregnancy with non-infected pregnant women. Risk factors and pregnancy outcomes were assessed by Poisson and Cox regression models and stratified according to disease severity defined by hospital admission status and admission reason (COVID-19 symptoms or other). Using medical record data on actual period of pregnancy, we calculated predictive values of the SARS-CoV-2 diagnosis in pregnancy in the registers. RESULTS: SARS-CoV-2 infection was detected in 1819 (1.6%) of 111 185 pregnancies. Asthma was associated with infection (relative risk [RR] 1.63, 95% confidence interval [CI] 1.28-2.07). Risk factors for severe COVID-19 disease requiring hospital admission were high body mass index (median ratio 1.06, 95% CI 1.04-1.09), asthma (RR 7.47, 95% CI 3.51-15.90) and gestational age at the time of infection (gestational age 28-36 vs < 22: RR 3.53, 95% CI 1.75-7.10). SARS-CoV-2-infected women more frequently had hypertensive disorders in pregnancy (adjusted hazard ratio [aHR] 1.31, 95% CI 1.04-1.64), early pregnancy loss (aHR 1.37, 95% CI 1.00-1.88), preterm delivery before gestational age 28 (aHR 2.31, 95% CI 1.01-5.26), iatrogenically preterm delivery before gestational age 37 (aHR 1.49, 95% CI 1.01-2.19) and small-for-gestational age children (aHR 1.28, 95% CI 1.05-1.54). The associations were stronger among women admitted to hospital for any reason. The validity of the SARS-CoV-2 diagnosis in relation to pregnancy in the registers compared with medical records showed a negative predictive value of 99.9 (95% CI 99.9-100.0) and a positive predictive value of 82.1 (95% CI 80.4-83.7). CONCLUSIONS: Women infected with SARS-CoV-2 during pregnancy were at increased risk of hypertensive disorders in pregnancy, early pregnancy loss, preterm delivery and having children small for gestational age. The validity of Danish national registers was acceptable for identification of SARS-CoV-2 infection during pregnancy.

Bidirectional 5-year risks of diabetic retinopathy, glaucoma and/or ocular hypertension: Results from a national screening programme.

PURPOSE: We aimed to investigate if diabetic retinopathy (DR), glaucoma and/or ocular hypertension (OHT) are prospectively linked, as previous studies have proposed cross-sectional associations, but longitudinal data from larger cohorts are lacking. METHODS: We performed a bidirectional 5 years prospective, registry-based cohort study. We extracted data from national registers, including the Danish Registry of Diabetic Retinopathy, the Danish Civil Registration System, the Danish National Patient Register and the Danish National Prescription Registry. DR level was defined by the highest level of the two eyes. Glaucoma and/or OHT was defined by diagnostic codes (H40*) or at least three redeemed prescriptions of glaucoma medication (S01E*) within 1 year. We included 205 970 persons with diabetes and 1 003 170 age- and gender-matched non-diabetes controls. Exposures were level-specific DR (i) and glaucoma and/or OHT (ii), and outcomes were hazard ratios (HRs) for 5 years incident glaucoma and/or OHT (i) and DR (ii). RESULTS: Persons with diabetes were more likely to develop glaucoma and/or OHT (multivariable adjusted HR 1.11, 95% CI 1.06-1.15), but this did not depend on the level of DR. In persons with diabetes, those with glaucoma and/or OHT were more likely to develop DR (multivariable adjusted HR 1.12, 95% CI 1.03-1.23) within 5 years. CONCLUSION: In a national cohort, diabetes associated with a little higher risk of upcoming glaucoma and/or OHT, and, inversely, the presence of the latter predicted a higher risk of incident DR. Nevertheless, our data do not seem to justify including glaucoma evaluation in the national Danish DR-screening programme.

Diabetes Mellitus Mediates Risk of Depression in Danish Women with Polycystic Ovary Syndrome-A National Cohort Study.

AIM: To investigate the risk of depression in Danish women with PCOS compared to controls and possible mediators for depression in PCOS. National register-based study in Danish women with PCOS (PCOS Denmark, N = 25,203) and age-matched controls (N = 112,414). PCOS Odense University Hospital (PCOS OUH, N = 998) was a sub-cohort of women with PCOS with available clinical and biochemical results. The main study outcome was depression occurring after PCOS diagnosis. Depression was defined according to hospital ICD-10 diagnosis codes and/or inferred from filled medicine prescription of antidepressants. Diabetes, medical comorbidity, infertility, hormonal anti-contraception and low family income were entered as mediators in Cox regression analyses for depression. In PCOS OUH, PCOS characteristics (age, BMI, Ferriman-Gallwey score) were entered in Cox regression analyses. The median age at cohort entry was 28 (interquartile range (IQR) 23; 35) years. The median follow-up time to incident depression or censuring was 4.8 (IQR 2.2; 8.8) years in PCOS Denmark and 5.2 (IQR 2.4; 9.2) years in controls. Women with PCOS had a 40% increased risk of depression compared to controls (Hazard Ratio 1.42 (95% CI 1.38; 1.47). In regression analyses, diabetes, medical comorbidity, infertility, hormonal anticonception, and low family income were significant mediators of depression. Mediation analyses showed that the proportion of the association explained by diabetes was 12.5% (95% CI 10.4; 14.5). In PCOS OUH, BMI, waist and Ferriman-Gallwey score predicted development of depression. CONCLUSION: The risk of depression was increased in PCOS. Diabetes was an important mediator of depression in PCOS.

Cardiovascular and metabolic morbidity in women with previous gestational diabetes mellitus: a nationwide register-based cohort study.

BACKGROUND: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes and has maternal health implications reaching beyond the perinatal period. We aimed to investigate the incidence and severity of cardiovascular and metabolic morbidity in women with previous GDM in a Danish population and to study whether proxies of impaired beta cell function-insulin treatment during GDM pregnancy and development of subsequent manifest diabetes mellitus-influence incident risk of cardiovascular and metabolic morbidity. METHODS: A nationwide register-based cohort study was conducted on the complete cohort of 700,648 women delivering in Denmark during 1997-2018. The exposure variable was GDM and primary outcome was overall cardiovascular and metabolic morbidity. Secondary outcomes were major cardiovascular disease (ischemic heart disease, heart failure, and/or stroke/transient cerebral ischemia), hypertension, dyslipidemia, and venous thrombosis. Severity of morbidity was assessed using number of hospital contacts with diagnosis codes related to cardiovascular and metabolic morbidity and number of redemptions of prescribed medication related to cardiovascular and metabolic morbidity in women who developed cardiovascular and metabolic morbidity after pregnancy. RESULTS: The median follow-up period was 10.2-11.9 years with a total range of 0-21.9 years. GDM was associated with increased risk of any cardiovascular and metabolic morbidity (adjusted HR 2.13 [95% CI 2.07-2.20]), major cardiovascular disease (adjusted HR 1.69 [95% CI 1.55-1.84]), hypertension (adjusted HR 1.89 [95% CI 1.82-1.96], dyslipidemia (adjusted HR 4.48 [95% CI 4.28-4.69]), and venous thrombosis (adjusted HR 1.32 [95% CI 1.16-1.50]). Insulin treatment during pregnancy and subsequent development of manifest diabetes exacerbated the risk estimates. Previous GDM was associated with more hospital contacts and more redeemed prescriptions in women developing cardiovascular and metabolic morbidity (p < 0.001). CONCLUSIONS: Previous GDM was associated with significantly higher risk of cardiovascular and metabolic morbidity, especially incident dyslipidemia. Risks were exacerbated by proxies of beta cell impairment. Severity of morbidity was significantly worse if GDM preceded cardiovascular and metabolic morbidity.

Can National Registries Contribute to Predict the Risk of Cancer? The Cancer Risk Assessment Model (CRAM).

PURPOSE: To develop a predictive model based on Danish administrative registers to facilitate automated identification of individuals at risk of any type of cancer. METHODS: A nationwide register-based cohort study covering all individuals in Denmark aged +20 years. The outcome was all-type cancer during 2017 excluding nonmelanoma skin cancer. Diagnoses, medication, and contact with general practitioners in the exposure period (2007-2016) were considered for the predictive model. We applied backward selection to all variables by logistic regression to develop a risk model for cancer. We applied the models to the validation cohort, calculated the receiver operating characteristic curves, and estimated the corresponding areas under the curve (AUC). RESULTS: The study population consisted of 4.2 million persons; 32,447 (0.76%) were diagnosed with cancer in 2017. We identified 39 predictive risk factors in women and 42 in men, with age above 30 as the strongest predictor for cancer. Testing the model for cancer risk showed modest accuracy, with an AUC of 0.82 (95% CI 0.81-0.82) for men and 0.75 (95% CI 0.74-0.75) for women. CONCLUSION: We have developed and tested a model for identifying the individual risk of cancer through the use of administrative data. The models need to be further investigated before being applied to clinical practice.

Cardiovascular risk in Danish transgender persons: a matched historical cohort study.

Background: Cardiovascular risk could be increased in transgender persons, but the mechanism is undetermined. Aim: The aim of this study was to assess the risk of cardiovascular outcomes in Danish transgender persons compared to controls. Methods: The study design was a historical register-based cohort study in Danish transgenders and age-matched controls. The main outcome measure was cardiovascular diagnosis (any CVD) including medicine prescriptions for CVD during 2000-2018. The transgender cohort (n = 2671) included persons with International Classification of Diseases-10 diagnosis code of 'gender identity disorder' (n = 1583) and persons with legal sex change (n = 1088), 1270 were assigned female at birth (AFAB) and 1401 were assigned male at birth (AMAB). Controls (n = 26 710) were matched by age (n = 5 controls of same and n = 5 controls of other birth sex) of the respective transgender. Results: The median (interquartile range) age at study inclusion was 22 (18; 29) years for AFAB and 26 (21; 39) years for AMAB. The mean (s.d.) follow-up time was 4.5 (4.2) years for AFAB and 5.7 (4.8) years for AMAB. The hazard ratio (HR) for any CVD was significantly higher in transgenders vs controls of same and other birth sex, with highest adjusted HR in transgenders AFAB vs control men: 2.20 (95% CI: 1.64;2.95), P < 0.001. Gender-affirming hormone treatment (GAHT) explained part of elevated risk of CVD in transgenders AFAB, whereas GAHT did not contribute to the elevated risk of CVD in transgenders AMAB. Conclusions: The risk of cardiovascular diagnosis was increased in transgenders. The mechanism should be further investigated.