[Renal insufficiency and cardiovascular risk]. / Niereninsuffizienz und kardiovaskuläres Risiko.

Patients with chronic renal insufficiency often show symptoms that are atypical for cardiovascular problems. The correct interpretation of the symptoms is crucial in order to correctly assess the risk of a heart-related emergency and to take preventive measures and initiate the right therapy. Biomarkers such as NT-proBNP, troponin T or hsCRP (highly sensitive CRP) are independent predictors of mortality, but do not replace instrument-based diagnostics. Patients with renal insufficiency often have stiff vessels which, due to the premature reflection of the pulse wave, can lead to left ventricular dysfunction and ultimately to heart failure.

COVID-19 and the kidney: A retrospective analysis of 37 critically ill patients using machine learning.

INTRODUCTION: There is evidence that SARS-CoV2 has a particular affinity for kidney tissue and is often associated with kidney failure. METHODS: We assessed whether proteinuria can be predictive of kidney failure, the development of chronic kidney disease, and mortality in 37 critically ill COVID-19 patients. We used machine learning (ML) methods as decision trees and cut-off points created by the OneR package to add new aspects, even in smaller cohorts. RESULTS: Among a total of 37 patients, 24 suffered higher-grade renal failure, 20 of whom required kidney replacement therapy. More than 40% of patients remained on hemodialysis after intensive care unit discharge or died (27%). Due to frequent anuria proteinuria measured in two-thirds of the patients, it was not predictive for the investigated endpoints; albuminuria was higher in patients with AKI 3, but the difference was not significant. ML found cut-off points of >31.4 kg/m2 for BMI and >69 years for age, constructed decision trees with great accuracy, and identified highly predictive variables for outcome and remaining chronic kidney disease. CONCLUSIONS: Different ML methods and their clinical application, especially decision trees, can provide valuable support for clinical decisions. Presence of proteinuria was not predictive of CKD or AKI and should be confirmed in a larger cohort.

Survey about do-it-yourself closed loop systems in the treatment of diabetes in Germany.

Continuous glucose monitoring (CGM) improves treatment with lower blood glucose levels and less patient effort. In combination with continuous insulin application, glycemic control improves and hypoglycemic episodes should decrease. Direct feedback of CGM to continuous subcutaneous insulin application, using an algorithm is called a closed-loop (CL) artificial pancreas system. Commercial devices stop insulin application by predicting hypoglycemic blood glucose levels through direct interaction between the sensor and pump. The prediction is usually made for about 30 minutes and insulin delivery is restarted at the previous level if a rise in blood glucose is predicted within the next 30 minutes (hybrid closed loop system, HCL this is known as a predictive low glucose suspend system (PLGS)). In a fully CL system, sensor and pump communicate permanently with each other. Hybrid closed-loop (HCL) systems, which require the user to estimate the meal size and provide a meal insulin basis, are commercially available in Germany at the moment. These systems result in fewer hyperglycemic and hypoglycemic episodes with improved glucose control. Open source initiatives have provided support by building do-it-yourself CL (DIYCL) devices for automated insulin application since 2014, and are used by a tech-savvy subgroup of patients. The first commercial hybrid CL system has been available in Germany since September 2019. We surveyed 1054 patients to determine which devices are currently used, which features would be in demand by potential users, and the benefits of DIYCL systems. 9.7% of these used a DIYCL system, while 50% would most likely trust these systems but more than 85% of the patients would use a commercial closed loop system, if available. The DIYCL users had a better glucose control regarding their time in range (TIR) and glycated hemoglobin (HbA1c).

Comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list.

BACKGROUND: The prevalence of cardiovascular disease is high among patients with chronic kidney disease and cardiovascular events (CVE) remain the leading cause of death after kidney transplantation (KT). We performed a retrospective analysis of 389 KT recipients to assess if the European Society of Cardiology Score (ESC-Score), Framingham Heart Study Score (FRAMINGHAM), Prospective Cardiovascular Munster Study Score (PROCAM-Score) or Assessing cardiovascular risk using Scottish Intercollegiate Guidelines Network Score (ASSIGN-Score) algorithms can predict cardiovascular risk after KT at the time of entering the waiting list. METHODS: 389 KT candidates were scored by the time of entering the waiting list. Pearsons chi-square test, cox regression analysis and survival estimates were performed to evaluate the reliability of the cardiovascular scoring models after successful KT. RESULTS: During a follow-up of 8 ± 5.8 years, 96 patients (30%) died due to cardiovascular problems, whereas 13.9% suffered non-fatal CVE. Graft loss occurred in 84 patients (21.6%). Predictors of CVE, survival and graft loss were age and the length of end-stage kidney disease. All scores performed well in assessing the risk for CVE (P < 0.01). Receiver-operating characteristic analysis using the ESC-SCORE, as an example, suggested a cut-off for risk stratification and clinical decisions. CONCLUSIONS: We found all tested scores were reliable for cardiovascular assessment. We suggest using cardiac scores for risk assessment before KT and then taking further steps according to current guidelines.

[Interstitial nephritis]. / Interstitielle Nephritis.

Acute interstitial nephritis (AIN) is a rare, often underdiagnosed condition and a common cause of renal failure. Drugs are the leading cause. The underlying pathophysiological condition is often a type IV hypersensitivity reaction. There are also rarer idiopathic forms, which often remain unrecognized. Additionally, the pathophysiological mechanisms are poorly understood, so that only very few promising forms of treatment are available. For some medications the overall risk is low but the side effects are relevant for the clinical routine due to the fact that they are frequently prescribed. In addition, the development of new approaches, such as immunotherapy also leads to side effects that cannot be completely predicted. For many diseases the occurrence of acute kidney injury increases the mortality and morbidity. A potentially irreversible chronic renal failure increases the incidence of further comorbidities and reduces the quality of life. Treatment is difficult and mostly empirical.

Case Report: Atheroembolic renal disease in a 72-year-old patient through coronary intervention after myocardial infarction.

Cholesterol embolization or atheroembolic renal disease (AERD) is an often underdiagnosed issue in patients featuring a prevalent risk profile. It is a multisystemic disease with progressive renal insufficiency due to foreign body reaction of cholesterol crystals flushed into a small vessel system of the kidneys from the arteriosclerotic plaques. The most common setting in which it occurs is iatrogenic after vascular catheterization and less frequent spontaneously. Typical clinical symptoms are delayed impairment of renal function, cutaneous manifestations such as livedo reticularis or purple toes with persistingly palpable arterial pulse, myalgia, systemic symptoms such as weight loss and fever, and abdominal and neurological symptoms. Diagnosis is generally made by clinical appearance, risk profile, and interval of time from intervention; a definitive diagnosis can only be made by renal biopsy. Even though the exact incidence is not known because most patients do not undergo biopsy due to older age, comorbidity, and other explanations for loss of renal function, it is estimated to be 4% after vascular intervention. Patient and renal outcome is dependent on comorbidity, risk profile, and preexisting chronic kidney disease (CKD). About 30% of patients are estimated to require maintenance dialysis and these patients have a high risk of death within 24 months after the first renal replacement therapy. Prognosis is also influenced by severity. The case reported is a 72-year-old male patient with preexisting CKD stage 3 undergoing percutaneous coronary intervention after myocardial infarction and consecutive AERD with typical clinical appearance 6 weeks after the event.

Investigation of the functional brain-derived neurotrophic factor gene variant Val66MET in migraine.

Experimental studies and investigations of the cerebrospinal fluid in migraineurs have suggested an involvement of brain-derived neurotrophic factor (BDNF) in migraine pathophysiology. In a case-control study approach, the functional Val66MET polymorphism (rs6265) of the BDNF gene was investigated in 265 migraine patients and 153 controls. Genotype and allele frequencies did not differ between healthy subjects and migraineurs. A subgroup analysis for the occurrence of aura or clinical characteristics, including the number of attacks, did not reveal a positive association for the investigated polymorphism. Our data argue against a role of this well characterized BDNF gene variant as a risk factor in migraine.