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Aims: Heart failure (HF) and chronic kidney disease (CKD) place significant challenges on the healthcare system, and their co-existence is associated with shared adverse outcomes. The multinational CaReMe project was initiated to provide contemporary, real-world epidemiological data on cardiovascular and reno-metabolic diseases. Utilizing data from the German CaReMe cohort, we characterize a multicentric HF population and describe in-hospital outcomes stratified for co-morbid CKD., Methods and Results: This retrospective, observational study analysed administrative data from inpatient cases hospitalized in 87 German Helios hospitals between 1 January 2016 and 31 August 2022. The first hospitalization of patients aged ≥18 years with a primary discharge diagnosis of HF, based on ICD-10 codes, were considered the index cases, and subsequent hospitalizations were considered as readmissions. Baseline characteristics and outcomes were stratified for co-morbid CKD using ICD-10-encoding from the index cases. Cox regression was utilized for readmission endpoints and in-hospital mortality. In total, 174 829 index cases (mean age 79 ± 15 years, 49.9% female) were included; of these, 55.0% had coexisting CKD. Patients with CKD were older, suffered from worse HF-related symptoms, had a higher co-morbidity burden, and in-hospital mortality was increased at index and during follow-up. Prevalent CKD was associated with higher rehospitalization rates and was an independent predictor for in-hospital death., Conclusions: Within this HF inpatient cohort from a multicentric German database, CKD was diagnosed in more than half of the patients and was associated with increased in-hospital mortality at baseline and during follow-up. Rehospitalizations were observed earlier and more frequently in patients with HF and co-morbid CKD., (© 2024 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Background:  The COVID-19 pandemic has significantly affected acute ischemic stroke (AIS) care. In this study, we examined the effects of the pandemic on neurosurgical AIS care by means of decompressive surgery (DS)., Methods:  In this retrospective observational study, we compared the characteristics, in-hospital processes, and in-hospital mortality rates among patients hospitalized for AIS during the first four waves of the pandemic (between January 1, 2020 and October 26, 2021) versus the corresponding periods in 2019 (prepandemic). We used administrative data from a nationwide hospital network in Germany., Results:  Of the 177 included AIS cases with DS, 60 were from 2019 and 117 from the first four pandemic waves. Compared with the prepandemic levels, there were no changes in weekly admissions for DS during the pandemic. The same was true for patient age (range: 51.7-60.4 years), the number of female patients (range: 33.3-57.1%), and the prevalence of comorbidity, as measured by the Elixhauser Comorbidity Index (range: 13.2-20.0 points). Also, no alterations were observed in transfer to the intensive care unit (range: 87.0-100%), duration of in-hospital stay (range: 14.6-22.7 days), and in-hospital mortality rates (range: 11.8-55.6%)., Conclusion:  In Germany, compared with the prepandemic levels, AIS patients undergoing DS during the first four waves of the pandemic showed no changes in demographics, rates of comorbidity, and in-hospital mortality rates. This is in contrast to previous evidence on patients with less critical types of AIS not requiring DS and underlines the uniqueness of the subgroup of AIS patients requiring DS. Our findings suggests that these patients, in contrast to AIS patients in general, were unable to forgo hospitalization during the COVID-19 pandemic. Maintaining the delivery of DS is an essential aspect of AIS care during a pandemic., Competing Interests: J.D. received funding through the Helios Center for Research and Innovation via a grant (HCRI ID 2021–0431). R.K. holds shares of Fresenius AG. Y.R. is a member of DWG Commissions (Science, Education, Quality Safety, Congress Program, Scientific Advisory Board publication “Die Wirbelsäule”), and Eurospine EduCom. All other authors declare no conflict of interest., (Thieme. All rights reserved.)

Importance: Throughout the ongoing SARS-CoV-2 pandemic, it has been critical to understand not only the viral disease itself but also its implications for the overall health care system. Reports about excess mortality in this regard have mostly focused on overall death counts during specific pandemic phases., Objective: To investigate hospitalization rates and compare in-hospital mortality rates with absolute mortality incidences across a broad spectrum of diseases, comparing 2020 data with those of prepandemic years., Design, Setting, and Participants: Retrospective, cross-sectional, multicentric analysis of administrative data from 5 821 757 inpatients admitted from January 1, 2016, to December 31, 2020, to 87 German Helios primary to tertiary care hospitals., Exposures: Exposure to SARS-CoV-2., Main Outcomes and Measures: Administrative data were analyzed from January 1, 2016, to March 31, 2021, as a consecutive sample for all inpatients. Disease groups were defined according to International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10; German modification) encoded main discharge diagnoses. Incidence rate ratios (IRRs) for hospital admissions and hospital mortality counts, as well as relative mortality risks (RMRs) comparing 2016-2019 with 2020 (exposure to the SARS-CoV-2 pandemic), were calculated with Poisson regression with log-link function., Results: Data were examined for 5 821 757 inpatients (mean [SD] age, 56.4 [25.3] years; 51.5% women), including 125 807 in-hospital deaths. Incidence rate ratios for hospital admissions were associated with a significant reduction for all investigated disease groups (IRR, 0.82; 95% CI, 0.79-0.86; P < .001). After adjusting for age, sex, the Elixhauser Comorbidity Index score, and SARS-CoV-2 infections, RMRs were associated with an increase in infectious diseases (RMR, 1.28; 95% CI, 1.21-1.34; P < .001), musculoskeletal diseases (RMR, 1.19; 95% CI, 1.04-1.36; P = .009), and respiratory diseases (RMR, 1.09; 95% CI, 1.05-1.14; P < .001) but not for the total cohort (RMR, 1.00; 95% CI, 0.99-1.02; P = .66). Regarding in-hospital mortality, IRR was associated with an increase within the ICD-10 chapter of respiratory diseases (IRR, 1.28; 95% CI, 1.13-1.46; P < .001) in comparing 2020 with 2016-2019, in contrast to being associated with a reduction in IRRs for the overall cohort and several other subgroups. After exclusion of patients with SARS-CoV-2 infections, IRRs were associated with a reduction in absolute in-hospital mortality for the overall cohort (IRR, 0.78; 95% CI, 0.72-0.84; P < .001) and the subgroup of respiratory diseases (IRR, 0.83; 95% CI, 0.74-0.92; P < .001)., Conclusions and Relevance: This cross-sectional study of inpatients from a multicentric German database suggests that absolute in-hospital mortality for 2020 across disease groups was not higher compared with previous years. Higher IRRs of in-hospital deaths observed in patients with respiratory diseases were likely associated with individuals with SARS-CoV-2 infections.

Aims: The coronavirus disease 2019 (COVID-19) pandemic has led to changes in health care utilization for different acute cardiovascular diseases. Whether hospitalization rates and in-hospital mortality were affected by the pandemic in patients with acute symptomatic heart failure (HF) was investigated in this study., Methods and Results: Administrative data provided by 67 German Helios hospitals were examined for patients with a main discharge diagnosis of HF using ICD codes. Urgent hospital admissions per day were compared for a study period (13 March-21 May 2020) with control intervals in 2020 (1 January-12 March) and 2019 (13 March-21 May), resulting in a total of 13 484 patients excluding all patients with laboratory-proven COVID-19 infection. Incidence rate ratios (IRR) were calculated using Poisson regression. Generalized linear mixed models were used for univariable and multivariable analysis to identify predictors of in-hospital mortality. The number of admissions per day was lower in the study period compared to the same year [IRR 0.69, 95% confidence interval (CI) 0.67-0.73, P < 0.01] and the previous year control group (IRR 0.73, 95% CI 0.70-0.76, P < 0.01). Age was similar throughout the intervals, but case severity increased in terms of distribution within New York Heart Association (NYHA) classes and comorbidities. Within the study period, 30-day rates for urgent hospital readmissions were higher compared to the same year but not the previous year control group. In-hospital mortality was 7.3% in the study period, 6.1% in the same year (P = 0.03) and 6.0% in the previous year control group (P = 0.02). In multivariable analysis, age, NYHA class and other predictors of fatal outcome were identified but hospitalization during the study period was not independently associated with mortality., Conclusion: Our data showed a significant reduction of urgent hospital admissions for HF with increased case severity and concomitant in-hospital mortality during the COVID-19 pandemic in Germany. Identifying causes of reduced inpatient treatment rates is essential for the understanding and valuation with regard to future optimal management of patients with HF., (© 2020 The Authors. European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)