Increasing Medication Use and Polypharmacy in Type 2 Diabetes: The Danish Experience From 2000 to 2020.

OBJECTIVE: Type 2 diabetes often coexists with other conditions that are amenable to pharmacological treatment. We hypothesized that polypharmacy among individuals with type 2 diabetes has increased since 2000. RESEARCH DESIGN AND METHODS: Using Danish national registries, we established a cohort of all Danish individuals (aged ≥18 years) with type 2 diabetes between 2000 and 2020. We analyzed their medication use and prevalence of varying degrees of polypharmacy (≥5 or ≥10 medications), stratifying by age, sex, number of chronic diseases, and socioeconomic status. RESULTS: The cohort grew from 84,917 patients in 2000 to 307,011 in 2020, totaling 461,849 unique patients. The number of daily medications used per patient increased from (mean ± SD) 3.7 ± 2.8 (in 2000) to 5.3 ± 3.2 (in 2020). The lifetime risk of polypharmacy was substantial, with 89% (n = 409,062 of 461,849) being exposed to ≥5 medications at some point and 47% (n = 217,467of 461,849) to ≥10 medications. The increases were driven by an expanding group of medications, with analgesics, antihypertensives, proton pump inhibitors, and statins having the largest net increase. Advanced age, male sex, lower socioeconomic status, and Danish ethnicity positively correlated with polypharmacy but could not explain the overall increase in polypharmacy. CONCLUSIONS: Medication use and polypharmacy have increased among patients with type 2 diabetes. Although the implications and appropriateness of this increased medication use are uncertain, the results stress the increasing need for health care personnel to understand the potential risks associated with polypharmacy, including medication interactions, adverse effects, and over- and underprescribing.

Treatment of nausea in hospitalized patients with acute illness.

Evidence suggests that available antiemetics are equal to intravenous fluid treatment against acute nausea of other causes than motion sickness, pregnancy, anaesthesia, chemo- or radiation therapy. Each antiemetic is associated with adverse effects, which include movement disorders, sedation, and QT prolongation. Intravenous fluid and treatment directed against underlying pathology is recommended as a first-line treatment against nausea in these patients. If an antiemetic is clinically warranted, ondansetron has the most favourable ratio between side effects and price, as argued in this review.

Acute patients discharged without an established diagnosis: risk of mortality and readmission of nonspecific diagnoses compared to disease-specific diagnoses.

BACKGROUND: Nonspecific discharge diagnoses after acute hospital courses represent patients discharged without an established cause of their complaints. These patients should have a low risk of adverse outcomes as serious conditions should have been ruled out. We aimed to investigate the mortality and readmissions following nonspecific discharge diagnoses compared to disease-specific diagnoses and assessed different nonspecific subgroups. METHODS: Register-based cohort study including hospital courses beginning in emergency departments across 3 regions of Denmark during March 2019-February 2020. We identified nonspecific diagnoses from the R- and Z03-chapter in the ICD-10 classification and excluded injuries, among others-remaining diagnoses were considered disease-specific. Outcomes were 30-day mortality and readmission, the groups were compared by Cox regression hazard ratios (HR), unadjusted and adjusted for socioeconomics, comorbidity, administrative information and laboratory results. We stratified into short (3-<12 h) or lengthier (12-168 h) hospital courses. RESULTS: We included 192,185 hospital courses where nonspecific discharge diagnoses accounted for 50.7% of short and 25.9% of lengthier discharges. The cumulative risk of mortality for nonspecific vs. disease-specific discharge diagnoses was 0.6% (0.6-0.7%) vs. 0.8% (0.7-0.9%) after short and 1.6% (1.5-1.7%) vs. 2.6% (2.5-2.7%) after lengthier courses with adjusted HRs of 0.97 (0.83-1.13) and 0.94 (0.85-1.05), respectively. The cumulative risk of readmission for nonspecific vs. disease-specific discharge diagnoses was 7.3% (7.1-7.5%) vs. 8.4% (8.2-8.6%) after short and 11.1% (10.8-11.5%) vs. 13.7% (13.4-13.9%) after lengthier courses with adjusted HRs of 0.94 (0.90-0.98) and 0.95 (0.91-0.99), respectively. We identified 50 clinical subgroups of nonspecific diagnoses, of which Abdominal pain (n = 12,462; 17.1%) and Chest pain (n = 9,599; 13.1%) were the most frequent. The subgroups described differences in characteristics with mean age 41.9 to 80.8 years and mean length of stay 7.1 to 59.5 h, and outcomes with < 0.2-8.1% risk of 30-day mortality and 3.5-22.6% risk of 30-day readmission. CONCLUSIONS: In unadjusted analyses, nonspecific diagnoses had a lower risk of mortality and readmission than disease-specific diagnoses but had a similar risk after adjustments. We identified 509 clinical subgroups of nonspecific diagnoses with vastly different characteristics and prognosis.

Safety of native glucose-dependent insulinotropic polypeptide in humans.

In this systematic review, we assessed the safety and possible safety events of native glucose-dependent insulinotropic polypeptide (GIP)(1-42) in human studies with administration of synthetic human GIP. We searched the PubMed database for all trials investigating synthetic human GIP(1-42) administration. A total of 67 studies were included. Study duration ranged from 30 min to 6 days. In addition to healthy individuals, the studies included individuals with impaired glucose tolerance, type 2 diabetes, type 1 diabetes, chronic pancreatitis and secondary diabetes, latent autoimmune diabetes in adults, diabetes caused by a mutation in the hepatocyte nuclear factor 1-alpha gene, end-stage renal disease, chronic renal insufficiency, critical illness, hypoparathyroidism, or cystic fibrosis-related diabetes. Of the included studies, 78% did not mention safety events, 10% of the studies reported that no safety events were observed in relation to GIP administration, and 15% of the studies reported safety events in relation to GIP administration with most frequently reported event being a moderate and transient increased heart rate. Gastrointestinal safety events, and changes in blood pressure were also reported. Plasma concentration of active GIP(1-42) increased linearly with dose independent of participant phenotype. There was no significant correlation between achieved maximal concentration of GIP(1-42) and reported safety events. Clearance rates of GIP(1-42) were similar between participant groups. In conclusion, the available data indicate that GIP(1-42) in short-term (up to 6 days) infusion studies is generally well-tolerated. The long-term safety of continuous GIP(1-42) administration is unknown.

The Body weight Reducing Effects of Tirzepatide in People with and without Type 2 Diabetes: A Review on Efficacy and Adverse Effects.

Obesity is becoming more frequent and has several negative health impacts. Recent advances in weight management strategies have primarily resided in pharmaceutical treatments, and the glucagon-like peptide-1 (GLP-1) receptor agonists have shown great potential in terms of body weight reduction in addition to improving glycemic control in patients with type 2 diabetes (T2D). Recently, the dual GLP-1 and glucose-dependent insulinotropic polypeptide (GIP) receptor agonist tirzepatide has been developed. Tirzepatide has shown strong effects on glycated hemoglobin (HbA1C) levels in several clinical trials including participants with T2D (SURPASS program). In addition to its lowering effect on HbA1C, tirzepatide leads to substantial reductions in body weight, and a series of clinical trials (SURMOUNT program) have investigated the effects on body weight as the primary outcome. In these two trial programs, tirzepatide in doses of 5 mg to 15 mg administered subcutaneously once weekly resulted in body weight reduction of up to 15% in participants with T2D and up to 21% in participants without T2D, despite comparable baseline bodyweight. Across the two trial programs, adverse effects were mainly gastrointestinal (nausea, diarrhea, and vomiting) occurring with similar incidences of vomiting and lower incidences of diarrhea and nausea in trial participants with T2D compared to trials participants without T2D. Overall, discontinuation due to adverse events occurred in 3-7% of participants with no major differences between individuals with and without T2D. The higher weight-reducing efficacy of tirzepatide in trial participants without T2D is currently unexplained and may be partly reflected in dissimilarities in frequencies of gastrointestinal adverse events. The weight reducing effects of tirzepatide hold great promise for weight management in obese patients regardless of the presence of T2D.

The development of type 2 diabetes management in people with severe mental illness in the Capital Region of Denmark from 2001 to 2015.

BACKGROUND: Type 2 diabetes (T2D) treatment has changed markedly within the last decades. We aimed to explore whether people with severe mental illness (SMI) have followed the same changes in T2D treatment as those without SMI, as multiple studies suggest that people with SMI receive suboptimal care for somatic disorders. METHODS: In this registry-based annual cohort study, we explored the T2D treatment from 2001 to 2015 provided in general practices of the Greater Copenhagen area. We stratified the T2D cohorts by their pre-existing SMI status. T2D was defined based on elevated glycated hemoglobin (≥48 mmol/mol) or glucose (≥11 mmol/L) using data from the Copenhagen Primary Care Laboratory Database. Individuals with schizophrenia spectrum disorders (ICD-10 F20-29) or affective disorders (bipolar disorder or unipolar depression, ICD-10 F30-33) were identified based on hospital-acquired diagnoses made within 5 years before January 1 each year for people with prevalent T2D or 5 years before meeting our T2D definition for incident patients. For comparison, we defined a non-SMI group, including people who did not have a hospital-acquired diagnosis of schizophrenia spectrum disorders, affective disorders, or personality disorders. For each calendar year, we assembled cohorts of people with T2D with or without SMI. We used Poisson regression to calculate the rates per 100 person-years of having at least one biochemical test (glycated hemoglobin, low-density lipoprotein cholesterol, estimated glomerular filtration rate, and urine albumin-creatinine ratio), having poor control of these biochemical results, taking glucose-lowering or cardiovascular medications, or experiencing a clinical outcome, including all-cause mortality and cardiovascular mortality. Three outcomes (cardiovascular events, cardiovascular mortality, and all-cause mortality) were additionally examined and adjusted for age and sex in a post hoc analysis. RESULTS: From 2001 to 2015, 66,914 individuals were identified as having T2D. In 2015, 1.5% of the study population had schizophrenia spectrum disorder and 1.4% had an affective disorder. The number of people who used biochemical tests or had poor biochemical risk factor control was essentially unrelated to SMI status. One exception was that fewer LDL cholesterol tests were done on people with affective disorders and schizophrenia spectrum disorders at the beginning of the study period compared to people in the non-SMI group. This difference gradually diminished and was almost nonexistent by 2011. There was also a slightly slower rise in UACR test rates in the SMI groups compared to other people with T2D during the period. Throughout the study period, all groups changed their use of medications in similar ways: more metformin, less sulfonylurea, more lipid-lowering drugs, and more ACEi/ARBs. However, people with schizophrenia disorder consistently used fewer cardiovascular medications. Cardiovascular events were more common in the affective disorder group compared to the non-SMI group from 2009 to 2015 (rate ratio 2015 : 1.36 [95% CI 1.18-1.57]). After adjustment for age and sex, all-cause mortality was significantly higher among people with a schizophrenia spectrum disorder each year from 2003 to 2015 compared to the non-SMI group (rate ratio 2015 : 1.99 [95% CI 1.26-3.12]). CONCLUSION: Persons with schizophrenia or affective disorders demonstrated the same treatment changes for T2D as those without SMI in general practice. The lower use of most types of cardiovascular medications among people with schizophrenia disorders indicates potential undertreatment of hypertension and dyslipidemia and remains throughout the study period. Cardiovascular events were most common among people with affective disorders, but this was not reflected in a higher proportion using cardiovascular preventive medications. This knowledge should be considered in the management of this vulnerable patient group.

The effect of exogenous glucagon on circulating amino acids in individuals with and without type 2 diabetes and obesity.

Objective: In obesity and type 2 diabetes, hyperglucagonaemia may be caused by elevated levels of glucagonotropic amino acids due to hepatic glucagon resistance at the level of amino acid turnover. Here, we investigated the effect of exogenous glucagon on circulating amino acids in obese and non-obese individuals with and without type 2 diabetes. Design: This was a post hoc analysis in a glucagon infusion study performed in individuals with type 2 diabetes (n = 16) and in age, sex, and body mass index-matched control individuals without diabetes (n = 16). Each group comprised two subgroups of eight individuals with and without obesity, respectively. Methods: All participants received a 1-h glucagon infusion (4 ng/kg/min) in the overnight fasted state. Plasma amino acid concentrations were measured with frequent intervals. Results: Compared to the control subgroup without obesity, baseline total amino acid levels were elevated in the control subgroup with obesity and in the type 2 diabetes subgroup without obesity. In all subgroups, amino acid levels decreased by up to 20% in response to glucagon infusion, which resulted in high physiological steady-state glucagon levels (mean concentration: 74 pmol/L, 95% CI [68;79] pmol/L). Following correction for multiple testing, no intergroup differences in changes in amino acid levels reached significance. Conclusion: Obesity and type 2 diabetes status was associated with elevated fasting levels of total amino acids. The glucagon infusion decreased circulating amino acid levels similarly in all subgroups, without significant differences in the response to exogenous glucagon between individuals with and without obesity and type 2 diabetes. Significance statement: The hormone glucagon stimulates glucose production from the liver, which may promote hyperglycaemia if glucagon levels are abnormally elevated, as is often seen in type 2 diabetes and obesity. Glucagon levels are closely linked to, and influenced by, the levels of circulating amino acids. To further investigate this link, we measured amino acid levels in individuals with and without obesity and type 2 diabetes before and during an infusion of glucagon. We found that circulating amino acid levels were higher in type 2 diabetes and obesity, and that glucagon infusion decreased amino acid levels in both individuals with and without type 2 diabetes and obesity. The study adds novel information to the link between circulating levels of glucagon and amino acids.

Signs of Glucagon Resistance After a 2-Week Hypercaloric Diet Intervention.

CONTEXT: Hyperglucagonemia is observed in individuals with obesity and contributes to the hyperglycemia of patients with type 2 diabetes. Hyperglucagonemia may develop due to steatosis-induced hepatic glucagon resistance resulting in impaired hepatic amino acid turnover and ensuing elevations of circulating glucagonotropic amino acids. OBJECTIVE: We evaluated whether glucagon resistance could be induced in healthy individuals by a hypercaloric diet intervention designed to increase hepatic fat content. METHODS: We recruited 20 healthy male individuals to follow a hypercaloric diet and a sedentary lifestyle for 2 weeks. Amino acid concentrations in response to infusion of glucagon were assessed during a pancreatic clamp with somatostatin and basal insulin. The reversibility of any metabolic changes was assessed 8 weeks after the intervention. Hepatic steatosis was assessed by magnetic resonance spectroscopy. RESULTS: The intervention led to increased hepatic fat content (382% [206%; 705%], P < .01). Glucagon infusion led to a decrease in the concentration of total amino acids on all experimental days, but the percentage change in total amino acids was reduced (-2.5% ± 0.5% vs -0.2% ± 0.7%, P = .015) and the average slope of the decline in the total amino acid concentration was less steep (-2.0 ± 1.2 vs -1.2 ± 0.3 µM/min, P = .016) after the intervention compared to baseline. The changes were normalized at follow-up. CONCLUSION: Our results indicate that short-term unhealthy behavior, which increases hepatic fat content, causes a reversible resistance to the effect of glucagon on amino acid concentrations in healthy individuals, which may explain the hyperglucagonemia associated with obesity and diabetes.

Octreotide improves human lymphatic fluid transport a translational trial.

OBJECTIVES: Chylothorax is a complex condition and many different pharmacological agents have been tried as treatment. Octreotide is used off-label to treat chylothorax, but the efficacy of octreotide remains unclear. A decrease in lymph production is suggested as the mechanism. In this cross-over study, we explore the direct effect of octreotide on human lymphatic drainage. METHODS: Pre-clinical: the effect of octreotide on force generation was assessed during acute and prolonged drug incubation on human lymphatic vessels mounted in a myograph. Clinical: in a double-blinded, randomized, cross-over trial including 16 healthy adults, we administered either octreotide or saline as an intravenous infusion for 2.5 h. Near-infrared fluorescence imaging was used to examine spontaneous lymphatic contractions and lymph pressure in peripheral lymphatic vessels and plethysmography was performed to assess the capillary filtration rate, capillary filtration coefficient and isovolumetric pressures of the lower leg. RESULTS: Pre-clinical: human thoracic duct (n = 12) contraction rate was concentration-dependently stimulated by octreotide with a maximum effect at 10 and 100 nmol/l in the myograph chamber. Clinical: spontaneous lymphatic contractions and lymph pressure evaluated by near-infrared fluorescence did not differ between octreotide or placebo (P = 0.36). Plethysmography revealed similar capillary filtration coefficients (P = 0.057), but almost a doubling of the isovolumetric pressures (P = 0.005) during octreotide infusion. CONCLUSIONS: Octreotide stimulated lymphatic contractility in the pre-clinical setup but did not affect the spontaneous lymphatic contractions or lymph pressure in healthy individuals. Plethysmography revealed a doubling in the isovolumetric pressure. These results suggest that octreotide increases lymphatic drainage capacity in situations with high lymphatic afterload.

The impact of type 2 diabetes and glycaemic control on mortality and clinical outcomes in hospitalized patients with COVID-19 in the capital region of Denmark.

AIM: To explore the impact of type 2 diabetes (T2D), glycaemic control and use of glucose-lowering medication on clinical outcomes in hospitalized patients with COVID-19. MATERIALS AND METHODS: For all patients admitted to a hospital in the Capital Region of Denmark (1 March 2020 to 1 December 2021) with confirmed COVID-19, we extracted data on mortality, admission to intensive care unit (ICU), demographics, comorbidities, medication use and laboratory tests from the electronic health record system. We compared patients with T2D to patients without diabetes using Cox proportional hazards models adjusted for available confounding variables. Outcomes were 30-day mortality and admission to an ICU. For patients with T2D, we also analysed the association of baseline haemoglobin A1c (HbA1c) levels and use of specific glucose-lowering medications with the outcomes. RESULTS: In total, 4430 patients were analysed, 1236 with T2D and 2194 without diabetes. The overall 30-day mortality was 19% (n = 850) and 10% (n = 421) were admitted to an ICU. Crude analyses showed that patients with T2D both had increased mortality [hazard ratio (HR) 1.37; 95% CI 1.19-1.58] and increased risk of ICU admission (HR 1.28; 95% CI 1.04-1.57). When adjusted for available confounders, this discrepancy was attenuated for both mortality (adjusted HR 1.13; 95% CI 0.95-1.33) and risk of ICU admission (adjusted HR 1.01; 95% CI 0.79-1.29). Neither baseline haemoglobin A1c nor specific glucose-lowering medication use were significantly associated with the outcomes. CONCLUSION: Among those hospitalized for COVID-19, patients with T2D did not have a higher risk of death and ICU admission, when adjusting for confounders.

Age disparities in glucose-lowering treatment for Danish people with type 2 diabetes: a cross-sectional study between 2019 and 2020.

BACKGROUND: The pharmacotherapeutic guidelines for type 2 diabetes have changed considerably during the past decades. SGLT2 inhibitors and GLP-1 receptor agonists have emerged as first-line agents by preventing cardiovascular events within a few years of treatment. In contrast, sulphonylureas and insulin have been deprioritised due to less beneficial effects and the risk of hypoglycaemia-particularly in older people who are frail. We hypothesised that medications with a high risk of hypoglycaemia were used more often in older people compared with younger people. METHODS: In a nationwide cohort of people with type 2 diabetes in Denmark from 2019 to 2020, we described the use of specific glucose-lowering medications in relation to age and glycated haemoglobin A1C (HbA1c) by descriptive statistics and regression models adjusted for sex, socioeconomic factors, renal function, and several comorbidities. FINDINGS: Among 290 890 people with type 2 diabetes, glucose-lowering medication usage peaked at age 70 years. Increasing age was associated with relatively less use of metformin, GLP-1 receptor agonists, and SGLT2 inhibitors and more use of basal insulin, DDP-4 inhibitors, and sulphonylureas. When comparing 80-year-olds with 60-year-olds at similar HbA1c levels of 6·5% (48 mmol/mol), 80-year-olds used 8% (95% CI 7-10%) fewer glucose-lowering medications, were 55% less likely to receive GLP-1 receptor agonists or SGLT2 inhibitors (relative ratio 0·45, 95% CI 0·42-0·48), and 65% more likely to receive sulphonylureas (1·65, 1·54-1·76). Among 23 032 individuals aged 80 years or older with HbA1c levels of less than 6·5% (<48 mmol/mol), 2291 (10%) used sulphonylureas or insulin. INTERPRETATION: In Danish people with type 2 diabetes, the likelihood of using glucose-lowering medications with a high risk of hypoglycaemia (eg, sulphonylureas and basal insulin) increased with age, whereas the likelihood of using GLP-1 receptor agonists and SGLT2 inhibitors decreased. Some people aged 80 years or older with an HbA1c level of less than 6·5% (48 mmol/mol) were potentially overtreated with sulphonylureas or insulin. These findings emphasise the importance of frequently re-evaluating glucose-lowering treatments. FUNDING: None. TRANSLATION: For the Danish translation of the abstract see Supplementary Materials section.

Impact of multimorbidity and polypharmacy on mortality after cancer: a nationwide registry-based cohort study in Denmark 2005-2017.

BACKGROUND: Concurrent chronic diseases and treatment hereof in patients with cancer may increase mortality. In this population-based study we examined the individual and combined impact of multimorbidity and polypharmacy on mortality, across 20 cancers and with 13-years follow-up in Denmark. MATERIALS AND METHODS: This nationwide study included all Danish residents with a first primary cancer diagnosed between 1 January 2005 and 31 December 2015, and followed until the end of 2017. We defined multimorbidity as having one or more of 20 chronic conditions in addition to cancer, registered in the five years preceding diagnosis, and polypharmacy as five or more redeemed medications 2-12 months prior to cancer diagnosis. Cox regression analyses were used to estimate the effects of multimorbidity and polypharmacy, as well as the combined effect on mortality. RESULTS: A total of 261,745 cancer patients were included. We found that patients diagnosed with breast, prostate, colon, rectal, oropharynx, bladder, uterine and cervical cancer, malignant melanoma, Non-Hodgkin lymphoma, and leukemia had higher mortality when the cancer diagnosis was accompanied by multimorbidity and polypharmacy, while in patients with cancer of the lung, esophagus, stomach, liver, pancreas, kidney, ovarian and brain & central nervous system, these factors had less impact on mortality. CONCLUSION: We found that multimorbidity and polypharmacy was associated with higher mortality in patients diagnosed with cancer types that typically have a favorable prognosis compared with patients without multimorbidity and polypharmacy. Multimorbidity and polypharmacy had less impact on mortality in cancers that typically have a poor prognosis.

Polypharmacy and cross-sectoral collaboration.

Medication review is a pillar in the new recommendations from the Danish Health Authorities regarding patients with multimorbidity and polypharmacy. This review finds that general practitioners should be primary in coordinating medication. Medication reviews can be conducted differently with various co-interventions to try to improve cross-sectoral collaboration. It seems imperative that the interventions involve improved communication for optimal sharing and implementation of changes to the medication with primary care in a key role.

Methodological Considerations for Describing Medication Changes in Relation to Clinical Events and Death: An Applied Example in Patients with Type 2 Diabetes and Cancer.

INTRODUCTION: Certain clinical events reduce life expectancy and necessitate a reassessment of patient treatment. OBJECTIVE: To describe medication changes in relation to a cancer diagnosis and the end of life and to highlight challenges and limitations with such descriptions. METHODS: From a cohort with all Danish patients with type 2 diabetes, we matched patients with incident cancer during 2000-2021 (n = 41,745) with patients without cancer (n = 166,994) using propensity scores. We described their medication usage from cancer diagnosis until death. RESULTS: The 1- and 5-year mortality were 51% and 86%, respectively, in the cancer group, and 13% and 59% in the non-cancer group. In relation to cancer diagnosis and death, the use of symptomatic medications (e.g., opioids, benzodiazepines) increased (10-60 incident medications per 100 patient-months), and the use of preventive medications (e.g., antihypertensives, statins) decreased (5-30% fewer users). The changes in relation to the diagnosis were driven by patients with short observed lengths of survival (< 2 years). In contrast, changes occurring within a year before death were less dependent on survival strata, and > 60% used preventive medications in their last months. CONCLUSIONS: Medication changes in relation to a cancer diagnosis were frequent and correlated to the length of survival. The results showcase the challenges and limited clinical utility of anchoring analyses on events or death. While the former diluted the results by averaging changes across patients with vastly different clinical courses, the latter leveraged information unavailable to the treating clinicians. While medication changes were common near death, preventive medications were often used until death.

Diabetes treatment for persons with severe mental illness: A registry-based cohort study to explore medication treatment differences for persons with type 2 diabetes with and without severe mental illness.

It has been argued that persons with severe mental illness (SMI) receive poorer treatment for somatic comorbidities. This study assesses the treatment rates of glucose-lowering and cardiovascular medications among persons with incident type 2 diabetes (T2D) and SMI compared to persons with T2D without SMI. We identified persons ≥30 years old with incident diabetes (HbA1c ≥ 48 mmol/mol and/or glucose ≥ 11.0 mmol/L) from 2001 through 2015 in the Copenhagen Primary Care Laboratory (CopLab) Database. The SMI group included persons with psychotic, affective, or personality disorders within five years preceding the T2D diagnosis. Using a Poisson regression model, we calculated the adjusted rate ratios (aRR) for the redemption of various glucose-lowering and cardiovascular medications up to ten years after T2D diagnosis. We identified 1,316 persons with T2D and SMI and 41,538 persons with T2D but no SMI. Despite similar glycemic control at diagnosis, persons with SMI redeemed a glucose-lowering medication more often than persons without SMI in the period 0.5-2 years after the T2D diagnosis; for example, the aRR was 1.05 (95% CI 1.00-1.11) in the period 1.5-2 years after the T2D diagnosis. This difference was mainly driven by metformin. In contrast, persons with SMI were less often treated with cardiovascular medications during the first 3 years after T2D diagnosis, e.g., in the period 1.5-2 years after T2D diagnosis, the aRR was 0.96 (95% CI 0.92-0.99). For people with SMI in addition to T2D, metformin is more likely to be used in the initial years after T2D diagnosis, while our results suggest potential room for improvement regarding the use of cardiovascular medications.

Effects of DPP-4 inhibitors, GLP-1 receptor agonists, SGLT-2 inhibitors and sulphonylureas on mortality, cardiovascular and renal outcomes in type 2 diabetes: A network meta-analyses-driven approach.

AIMS: The aim of our meta-analyses was to compare the effects of glucose-lowering drugs on mortality, cardiovascular and renal endpoints for a range of type 2 diabetes (T2D) subgroups defined by their specific cardiovascular risk profile. METHODS: Meta-analyses comparing drugs within the classes of GLP-1RAs and SGLT-2 inhibitors were performed and compared to sulphonylureas and DPP-4 inhibitors with available cardiovascular outcome trials. The comparison between the different classes of glucose-lowering drugs included analyses of T2D populations with low risk and high risk for cardiovascular disease including populations with established cardiovascular disease and/or kidney disease. Outcomes included mortality, major cardiovascular adverse events (MACE), hospitalisation for heart failure (HHF) and a composite renal endpoint as applied in the underlying clinical trials. RESULTS: SGLT-2 inhibitors and GLP-1RAs showed beneficial effects on mortality and MACE compared to the classes of DPP-4 inhibitors and sulphonylureas. SGLT-2 inhibitors were shown to be the most effective treatment in terms of HHF and kidney disease. Metformin was used as background therapy for the vast majority of participants in all included studies. Overall, the absolute effects of SGLT-2 inhibitors and GLP-1RAs on these important outcomes were evident for patients with established or at high risk for cardiovascular disease but limited for the low-risk subgroup. CONCLUSIONS: The findings from our analyses substantiate the relevance of treatment with SGLT-2 inhibitors or GLP-1RAs as an add-on to metformin in patients with T2D and a high risk for cardiovascular disease, and furthermore, support the recommendation for SGLT-2 inhibitor treatment in patients with T2D and heart failure or established kidney disease.

Medication changes implemented during medication reviews and factors related to deprescribing: Posthoc analyses of a randomized clinical trial in geriatric outpatients with polypharmacy.

AIMS: To provide posthoc analyses of a clinical trial that reported beneficial effects of medication reviews on health-related quality of life. Specifically, to describe the medication changes with a focus on deprescribing and to explore patient- and medication-related factors that may identify patients most likely to benefit from medication reviews. METHODS: Posthoc analyses of data from a pragmatic, nonblinded, randomized clinical trial investigating a medication review intervention (NCT03911934) in 408 geriatric outpatients treated with ≥9 medicines. RESULTS: In the medication review group (n = 196), 26% of the medicines prescribed at baseline were discontinued with 82% still being discontinued after 13 months. The most common reason for discontinuation was lack of indication (72% of discontinuations). The medicines most often discontinued in the medication review group compared with usual care included: metoclopramide (11/15 = 73% discontinued vs. 1/12 = 8% in usual care), acetylsalicylic acid (20/48 = 42% vs. 2/47 = 4%), simvastatin (18/48 = 38% vs. 2/58 = 3%), zopiclone (23/59 = 39% vs. 4/54 = 7%), quinine (9/14 = 64% vs. 6/16 = 38%), citalopram (4/18 = 22% vs. 0/20 = 0%) and tramadol (18/37 = 49% vs. 8/30 = 27%). Factors associated with number of deprescribed medicines included: number of prescribed medicines, Drug Burden Index, patient motivation for medicine changes, and prescriptions of metoclopramide, iron preparations, antidepressants other than selective serotonin reuptake inhibitors, nonsteroidal anti-inflammatory drugs, or drugs for urinary incontinence. CONCLUSION: Physician-led medication reviews resulted in persistent deprescribing of medicines in older polypharmacy patients treated with ≥9 medicines. Motivation for having their medicine changed, treatment with more medicines, and a higher burden of sedative and anticholinergic medicines characterized the patients most likely to benefit from physician-led medication reviews.

DREAMS: deep read-level error model for sequencing data applied to low-frequency variant calling and circulating tumor DNA detection.

Circulating tumor DNA detection using next-generation sequencing (NGS) data of plasma DNA is promising for cancer identification and characterization. However, the tumor signal in the blood is often low and difficult to distinguish from errors. We present DREAMS (Deep Read-level Modelling of Sequencing-errors) for estimating error rates of individual read positions. Using DREAMS, we develop statistical methods for variant calling (DREAMS-vc) and cancer detection (DREAMS-cc). For evaluation, we generate deep targeted NGS data of matching tumor and plasma DNA from 85 colorectal cancer patients. The DREAMS approach performs better than state-of-the-art methods for variant calling and cancer detection.

Pan-cancer association of DNA repair deficiencies with whole-genome mutational patterns.

DNA repair deficiencies in cancers may result in characteristic mutational patterns, as exemplified by deficiency of BRCA1/2 and efficacy prediction for PARP inhibitors. We trained and evaluated predictive models for loss-of-function (LOF) of 145 individual DNA damage response genes based on genome-wide mutational patterns, including structural variants, indels, and base-substitution signatures. We identified 24 genes whose deficiency could be predicted with good accuracy, including expected mutational patterns for BRCA1/2, MSH3/6, TP53, and CDK12 LOF variants. CDK12 is associated with tandem duplications, and we here demonstrate that this association can accurately predict gene deficiency in prostate cancers (area under the receiver operator characteristic curve = 0.97). Our novel associations include mono- or biallelic LOF variants of ATRX, IDH1, HERC2, CDKN2A, PTEN, and SMARCA4, and our systematic approach yielded a catalogue of predictive models, which may provide targets for further research and development of treatment, and potentially help guide therapy.

Many different aspects of the environment ­ such as ultraviolet radiation, carcinogens in food and drink, and the ageing process itself ­ damage the DNA in human cells. Normally, cells can repair these sites by activating a mechanism known as the DNA damage response. However, the hundreds of genes that orchestrate this response are also themselves often lost or damaged, allowing the unrepaired sites to turn into permanent mutations that accumulate across the genome of the cancer cell. By studying the DNA of cancer cells, it has been possible to identify characteristic patterns of mutations, called mutational signatures, that appear in different types of cancer. One specific pattern has been linked to the loss of either the BRCA1 or BRCA2 gene, both of which are part of the DNA damage response. However, it remained unclear how many other genes involved in the DNA damage response also lead to detectable mutational signatures when lost. To investigate, Sørensen et al. computationally analysed data from over six thousand cancer patients. They looked for associations between over 700 DNA damage response genes and 80 different mutational signatures. As expected, the analysis revealed a strong connection between the loss of BRCA1/BRCA2 and their known mutational signature. However, it also found 23 other associations between DNA damage response genes that had been lost or damaged and particular patterns of mutations in a variety of cancers. These findings suggest that mutational signatures could be used more widely to predict which DNA damage response genes are no longer functioning in the genome of cancer cells. The mutational signature caused by the loss of BRAC1/BRAC2 has been shown to make patients more responsive to a certain type of chemotherapy. Further experiments are needed to determine whether the connections identified by Sørensen et al. could also provide information on which treatment would benefit a cancer patient the most. In the future, this might help medical practitioners provide more personalized treatment.