Impact of telemedical management on hospitalization and mortality in heart failure patients with diabetes: a post-hoc subgroup analysis of the TIM-HF2 trial.

BACKGROUND: The TIM-HF2 study demonstrated that remote patient management (RPM) in a well-defined heart failure (HF) population reduced the percentage of days lost due to unplanned cardiovascular hospital admissions or all-cause death during 1-year follow-up (hazard ratio 0.80) and all-cause mortality alone (HR 0.70). Higher rates of hospital admissions and mortality have been reported in HF patients with diabetes compared with HF patients without diabetes. Therefore, in a post-hoc analysis of the TIM-HF2 study, we investigated the efficacy of RPM in HF patients with diabetes. METHODS: TIM-HF2 study was a randomized, controlled, unmasked (concealed randomization), multicentre trial, performed in Germany between August 2013 and May 2018. HF-Patients in NYHA class II/III who had a HF-related hospital admission within the previous 12 months, irrespective of left ventricular ejection fraction, and were randomized to usual care with or without added RPM and followed for 1 year. The primary endpoint was days lost due to unplanned cardiovascular hospitalization or due to death of any cause. This post-hoc analysis included 707 HF patients with diabetes. RESULTS: In HF patients with diabetes, RPM reduced the percentage of days lost due to cardiovascular hospitalization or death compared with usual care (HR 0.66, 95% CI 0.48-0.90), and the rate of all-cause mortality alone (HR 0.52, 95% CI 0.32-0.85). RPM was also associated with an improvement in quality of life (mean difference in change in global score of Minnesota Living with Heart Failure Questionnaire score (MLHFQ): - 3.4, 95% CI - 6.2 to - 0.6). CONCLUSION: These results support the use of RPM in HF patients with diabetes. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT01878630.

Application of wearables for remote monitoring of oncology patients: A scoping review.

Objective: This review aims to systematically map and categorize the current state of wearable applications among oncology patients and to identify determinants impeding clinical implementation. Methods: A Medline, Embase and clinicaltrials.gov search identified journal articles, conference abstracts, letters, reports, dissertations and registered studies on the use of wearables in patients with malignancies published up to 10 November 2021. Results: Of 2509 records identified, 112 met the eligibility criteria. Of these, 9.8% (11/112) were RCTs and 47.3% (53/112) of publications were observational. Wearables were investigated pre-treatment (2.7%; 3/112), during treatment (34.8%; 39/112), post-treatment (17.9%; 20/112), in survivors (27.7%; 31/112) and in non-specified or multiple treatment phases (17.0%; 19/112). Medical-grade wearables were applied in 22.3% (25/112) of publications. Primary objectives ranged from technical feasibility (8.0%; 9/112), user feasibility (42.9%; 48/112) and correlational analysis (40.2%; 45/112) to outcome change analysis (8.9%; 10/112). Outcome change was mostly investigated regarding physical activity improvement (80.0%; 8/10). Most publications (42.9%; 48/112) and registered studies (39.3%; 24/61) featured multiple cancer types, with breast cancer as the most prevalent specific type (22.3% in publications, 16.4% in registered studies). Conclusions: Most studies among oncology patients using wearables are focused on assessing the user feasibility of consumer-grade wearables, whereas rates of RCTs assessing clinical efficacy are low. Substantial improvements in clinically relevant endpoints by the use of wearables, such as morbidity and mortality are yet to be demonstrated.

[Management of cardiovascular diseases in patients with diabetes : ESC guidelines 2023]. / Management kardiovaskulärer Erkrankungen bei Patienten mit Diabetes : ESC-Leitlinie 2023.

Patients with diabetes mellitus have an increased risk for the development of cardiovascular diseases. The presence of both comorbidities has a major impact not only on the prognosis of the patients but is also decisive for the implementation of evidence-based treatment strategies for reduction of the cardiovascular risk. The new guidelines of the European Society of Cardiology (ESC) were published in 2023 and provide clear recommendations for the management of cardiovascular diseases in patients with diabetes. The most relevant aspects of these guidelines are summarized in the following overview article.

[Laboratory diagnostics of lipid metabolism disorders]. / Labordiagnostik von Fettstoffwechselstörungen.

Clinically, disorders of lipid metabolism often remain without symptoms. Typical skin lesions, however, can be indicative. Secondary hyperlipoproteinemias (HLP) are more common than primary hyperlipoproteinemias; they can (partially) be improved by treating the underlying disease. Basic diagnostics consist of the determination of cholesterol, triglycerides, LDL cholesterol and HDL cholesterol. To exclude secondary HLP, glucose, HbA1C, TSH, transaminases, creatinine, urea, protein and protein in the urine are useful. Since virtually all routine methods for LDL-C are biased by high triglycerides, lipoprotein electrophoresis is indicated for triglycerides above 400 mg/dl (4.7 mmol/l). Primary HLPs have known or yet unknown genetic causes. Primary hyperlipidemias should be taken into consideration especially in young patients with an LDL cholesterol concentration are above 190 mg/dl (4.9 mmol/l) and/or triglycerides above 400 mg/dl (10 mmol/l) and secondary HLP (obesity, alcohol, diabetes mellitus, kidney disease) is excluded. The basic diagnostics is meaningfully extended by the measurement of lipoprotein (a) (Lp(a)). It is indicated in moderate and high risk of vascular disease, progression of atherosclerosis in "well-controlled" LDL cholesterol, familial clustering of atherosclerosis or high Lp(a), evidence for elevated Lp(a) coming from lipoprotein electrophoresis, aortic stenosis and in patients in whom statins have a poor effect. Genetic diagnostics needs to be considered if primary HLP is suspected. It is most frequently conducted for suspected familial hypercholesterolemia and has already been recommended in guidelines.

Shared Decision Making, Diagnostic Evaluation, and Pharmacotherapy in Type 2 Diabetes.

BACKGROUND: Type 2 diabetes is one of the most important widespread diseases worldwide. In Germany, nearly one in five persons over age 65 has type 2 diabetes. The German National Disease Management Guideline for Type 2 Diabetes (NDMG; in German: Nationale Versorgungsleitlinie, NVL) contains updated recommendations for the diagnostic evaluation and pharmacotherapy of this disease as well as information about specific groups of people for whom early detection may be useful. METHODS: The guideline has been updated, chapter by chapter, since 2018. Its recommendations are based on systematically searched and evaluated scientific evidence, the clinical expertise of a multidisciplinary panel of experts, and patient perspectives. RESULTS: The new chapter on shared decision making includes a description of a structured approach that can be used when individual treatment goals have not been achieved. The diagnosis of diabetes newly requires at least two abnormally elevated laboratory values: e.g., fasting plasma glucose ≥ 126 mg/dL (≥ 7.0 mmol/L), HbA1c ≥ 6.5 % (≥ 48 mmol/mol) and/or casual plasma glucose ≥ 200 mg/dL (≥ 11.1 mmol/L). Cardiovascular and renal risks are to be considered in the choice of drug. Studies have shown that, in persons with cardiovascular disease, treatment with GLP-1 receptor agonists (GLP-1, glucagon-like peptide-1) or SGLT2 inhibitors (SGLT2, sodium-glucose co-transporter-2) was less likely than the comparison intervention to lead to certain patient-relevant endpoints, including all-cause mortality (OR = 0.88 and 0.84, respectively), hospitalization for heart failure (SGLT2 inhibitors: OR = 0.65), and worsening of renal function (OR = 0.61 and 0.59, respectively). CONCLUSION: Current evidence continues to support the recommendations on pharmacotherapy of the 2021 guideline. The Guideline Group did not find evidence of adequate certainty to inform recommendations about the screening of persons at risk, HbA1c target values, or screening for sequelae and comorbidities. Better evidence on these matters would be desirable.

Low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol in type 1 diabetes and type 2 diabetes: Lipid goal attainment in a large German-Austrian diabetes registry.

AIM: To assess the implementation of the 2019 European Society of Cardiology (ESC)/European Atherosclerosis Society (EAS) guideline recommendations for lipid-lowering therapies among more than 30 000 patients with type 1 diabetes (T1D) and type 2 diabetes (T2D) in a German and Austrian registry from 2020 to 2022. MATERIALS AND METHODS: Registry data from 2020 and 2021 of 32 170 adult patients (8314 patients with T1D and 23 856 with T2D) were stratified according to the 2019 ESC/EAS risk categories, and guideline-based low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) goal attainment was analysed. RESULTS: In patients with T1D (median age 38.35 [20.51-57.13] years), overall statin use was 19.3%, ezetimibe use was 2.2% and the use of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors or fibrates was less than 1%. In patients with T2D (median age 68.76 [58.86-78.39] years), 45.7% received statins, 3.4% received ezetimibe, and fibrates and PCSK9 inhibitors were used by 1% and 0.1%, respectively. Among patients with T1D, 6.16% reached their risk-based recommended LDL-C goal of less than 55 mg/dL (very high risk), 10.97% of less than 70 mg/dL (high risk), and 69.50% of less than 100 mg/dL (moderate risk), respectively. In patients with T2D, 11.81% reached their risk-based goal of LDL-C less than 55 mg/dL, 16.25% of less than 70 mg/dL, and 51.33% of less than 100 mg/dL. Non-HDL-C goals were reached more often, with 15.3%, 25.52% and 91.61% in patients with T1D and 18.56%, 17.96% and 82.30% in patients with T2D for very high, high and moderate risk, respectively. CONCLUSION: Approximately 2 years after publication of the guidelines, LDL-C and non-HDL-C goal attainment was rarely achieved in patients with T1D and T2D with a high or very high cardiovascular risk.

The German CaRe high registry for familial hypercholesterolemia - Sex differences, treatment strategies, and target value attainment.

Background and aims: Familial hypercholesterolemia (FH) is among the most common genetic disorders in primary care. However, only 15% or less of patients are diagnosed, and few achieve the goals for low-density lipoprotein cholesterol (LDL-C). In this analysis of the German Cascade Screening and Registry for High Cholesterol (CaRe High), we examined the status of lipid management, treatment strategies, and LDL-C goal attainment according to the ESC/EAS dyslipidemia guidelines. Methods: We evaluated consolidated datasets from 1501 FH patients diagnosed clinically and seen either by lipid specialists or general practitioners and internists. We conducted a questionnaire survey of both the recruiting physicians and patients. Results: Among the 1501 patients, 86% regularly received lipid-lowering drugs. LDL-C goals were achieved by 26% and 10% of patients with atherosclerotic cardiovascular disease (ASCVD) according to the 2016 and 2019 ESC/EAS dyslipidemia guidelines, respectively. High intensity lipid-lowering was administered more often in men than in women, in patients with ASCVD, at higher LDL-C and in patients with a genetic diagnosis of FH. Conclusions: FH is under-treated in Germany compared to guideline recommendations. Male gender, genetic proof of FH, treatment by a specialist, and presence of ASCVD appear to be associated with increased treatment intensity. Achieving the LDL-C goals of the 2019 ESC/EAS dyslipidemia guidelines remains challenging if pre-treatment LDL-C is very high.

Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies.

Serious clinical complications (SCC; CTCAE grade ≥ 3) occur frequently in patients treated for hematological malignancies. Early diagnosis and treatment of SCC are essential to improve outcomes. Here we report a deep learning model-derived SCC-Score to detect and predict SCC from time-series data recorded continuously by a medical wearable. In this single-arm, single-center, observational cohort study, vital signs and physical activity were recorded with a wearable for 31,234 h in 79 patients (54 Inpatient Cohort (IC)/25 Outpatient Cohort (OC)). Hours with normal physical functioning without evidence of SCC (regular hours) were presented to a deep neural network that was trained by a self-supervised contrastive learning objective to extract features from the time series that are typical in regular periods. The model was used to calculate a SCC-Score that measures the dissimilarity to regular features. Detection and prediction performance of the SCC-Score was compared to clinical documentation of SCC (AUROC ± SD). In total 124 clinically documented SCC occurred in the IC, 16 in the OC. Detection of SCC was achieved in the IC with a sensitivity of 79.7% and specificity of 87.9%, with AUROC of 0.91 ± 0.01 (OC sensitivity 77.4%, specificity 81.8%, AUROC 0.87 ± 0.02). Prediction of infectious SCC was possible up to 2 days before clinical diagnosis (AUROC 0.90 at -24 h and 0.88 at -48 h). We provide proof of principle for the detection and prediction of SCC in patients treated for hematological malignancies using wearable data and a deep learning model. As a consequence, remote patient monitoring may enable pre-emptive complication management.

Influenza vaccination in patients affected by diabetes.

Type 2 diabetes, obesity-related metabolic syndrome, and insulin resistance are the most common metabolic disorders associated with increased cardiovascular risk. In addition, patients with Type 2 diabetes have an increased risk for a more severe course of influenza virus infection, a common pandemic. There is increasing evidence that influenza vaccination in patients with diabetes can safely and effectively reduce all-cause mortality and cardiovascular death. The effects of vaccination appear to be more effective when using higher-dose and quadrivalent vaccines, although subgroup-specific separate analyses in patients with diabetes are lacking. Clinical recommendations address influenza vaccination in all adults with diabetes. From our point of view, it should be an integral part of treatment strategies in patients with diabetes.

[Intersectoral management of patients with abnormal liver enzymes and non-alcoholic fatty liver disease (NAFLD)]. / Intersektorales Management von Patienten mit unklarer Leberwerterhöhung und nichtalkoholischer Fettlebererkrankung (NAFLD).

The prevalence of fatty liver disease has increased significantly in Germany in recent years. With an estimated 18 million German citizens being affected, it is now among the most prevalent diseases. Furthermore, it is also considered a relevant and independent risk factor for other common cardiovascular diseases such as heart attack or stroke. Finally, diabetes mellitus promotes the development of and an unfavorable course of fatty liver disease. Given the high prevalence and complications, the German healthcare system is reaching its limits.Therefore, close coordination of all healthcare providers and specialists involved in the treatment of these patients is essential. In an expert consensus involving private practice and hospital doctors from the fields of gastroenterology, endocrinology, cardiology, general practitioners and laboratory physicians, as well as in close coordination with patient representatives, we have designed a concept for the care of these patients in the German healthcare system. Necessary developments are also addressed. In addition to being useful as a practical guideline, this should also support health policy work, especially in the development of practical care solutions at the medical level.

Glycaemic Control in People with Type 2 Diabetes Mellitus Switching from Basal Insulin to Insulin Glargine 300 U/ml (Gla-300): Results from the REALI Pooled Database.

INTRODUCTION: Using pooled data from the REALI European database, we evaluated the impact of previous basal insulin (BI) type on real-life effectiveness and safety of switching to insulin glargine 300 U/ml (Gla-300) in people with suboptimally controlled type 2 diabetes. METHODS: Patient-level data were pooled from 11 prospective, open-label, 24-week studies. Participants were classified according to the type of prior BI. Of the 4463 participants, 1282 (28.7%) were pre-treated with neutral protamine Hagedorn (NPH) insulin and 2899 (65.0%) with BI analogues (BIAs), and 282 (6.3%) had undetermined prior BI. RESULTS: There were no meaningful differences in baseline characteristics between subgroups, except for a higher prevalence of diabetic neuropathy in the NPH subgroup (21.6% versus 7.8% with BIAs). Mean ± standard deviation haemoglobin A1c (HbA1c) decreased from 8.73 ± 1.15% and 8.35 ± 0.95% at baseline to 7.71 ± 1.09% and 7.82 ± 1.06% at week 24 in the NPH and BIA subgroups, respectively. Least squares (LS) mean change in HbA1c was - 0.85% (95% confidence interval - 0.94 to - 0.77) in NPH subgroup and - 0.70% (- 0.77 to - 0.64) in BIA subgroup, with a LS mean absolute difference between subgroups of 0.16 (0.06-0.26; p = 0.002). Gla-300 mean daily dose was slightly increased at week 24 by 0.07 U/kg/day (approximately 6 U/day) in both subgroups. Incidences of symptomatic and severe hypoglycaemia were low, without body weight change. CONCLUSIONS: Irrespective of previous BI therapy (NPH insulin or BIAs), switching to Gla-300 improved glycaemic control without weight gain and with low symptomatic and severe hypoglycaemia incidences. However, a slightly greater glucose-lowering effectiveness was observed in people pre-treated with NPH insulin.