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ERAS® (Enhanced Recovery After Surgery) describes a multimodal, interdisciplinary, and interprofessional treatment concept that optimizes the postoperative convalescence of the patient through the use of evidence-based measures. Goal of the work. The aim of this article is to examine the economic feasibility of the ERAS® concept in the German DRG (diagnosis-related groups) system.Since August 2019, patients have been treated in our clinic according to the later certified ERAS® concept. The last 50 patients before ERAS® implementation are compared below with 50 patients after ERAS® implementation, who were identified using a matched pair analysis. In addition to the comparison of costs and revenues, the clinical outcome of the patients is also presented.The cases of the patients in the pre-ERAS® cohort caused median costs of € 7432.83. BWR (valuation ratio) of 3.38 were billable. The resulting DRG revenue for the patients in this group amounted to € 11,325.78. The proceeds generated in the end amounted to € 4575.14. The cases of patients in the ERAS® cohort resulted in costs of € 5582.96. BWR of 2.84 could be billed. The DRG proceeds for the patients in this group therefore amounted to € 10,014.18. The profit generated was thus € 4993.84.The cost reduction generated by ERAS® was more pronounced than the "loss" due to the decrease in BWR. ERAS® is therefore also possible in the German DRG system at absolutely cost-covering levels.

Purpose At the beginning of the COVID-19 pandemic, SARS-CoV-2 was often compared to seasonal influenza. We aimed to compare the outcome of hospitalized patients with cancer infected by SARS-CoV-2 or seasonal influenza including intensive care unit admission, mechanical ventilation and in-hospital mortality. Methods We analyzed claims data of patients with a lab-confirmed SARS-CoV-2 or seasonal influenza infection admitted to one of 85 hospitals of a German-wide hospital network between January 2016 and August 2021. Results 29,284 patients with COVID-19 and 7442 patients with seasonal influenza were included. Of these, 360 patients with seasonal influenza and 1625 patients with COVID-19 had any kind of cancer. Cancer patients with COVID-19 were more likely to be admitted to the intensive care unit than cancer patients with seasonal influenza (29.4% vs 24.7%; OR 1.31, 95% CI 1.00–1.73 p p = .09). 34.9% of cancer patients with COVID-19 and 17.9% with seasonal influenza died (OR 2.45, 95% CI 1.81–3.32 p Conclusion Among cancer patients, SARS-CoV-2 was associated with a higher risk for in-hospital mortality than seasonal influenza. These findings underline the need of protective measurements to prevent an infection with either COVID-19 or seasonal influenza, especially in this high-risk population.

Introduction: In the early stages of the global COVID-19 pandemic hospital admissions for acute ischemic stroke (AIS) decreased substantially. As health systems have become more experienced in dealing with the pandemic, and as the proportion of the population vaccinated rises, it is of interest to determine whether the prevalence of AIS hospitalization and outcomes from hospitalization have returned to normal. Patients and methods: In this observational, retrospective cohort study, we compared the prevalence and outcomes of AIS during the first four waves of the pandemic to corresponding pre-pandemic periods in 2019 using administrative data collected from a nationwide network of 76 hospitals that manages 7% of all in-hospital cases in Germany. Results: We included 25,821 AIS cases in the study period (2020/2021) and used 26,295 AIS cases as controls (2019). Compared to pre-pandemic numbers, mean daily AIS admissions decreased only during wave 1 (from 39.6 to 34.1; p Conclusion: In Germany, the COVID-19 pandemic seems to have had a larger effect on nationwide in-hospital AIS care during the early pandemic stages, in which AIS case numbers decreased and case fatality rose. This may reflect a nationwide “learning curve” within health care systems in providing AIS care in times of a pandemic.

Aims Utilizing administrative data may facilitate risk prediction in heart failure inpatients. In this short report, we present different machine learning models that predict in-hospital mortality on an individual basis utilizing this widely available data source. Methods and results Inpatient cases with a main discharge diagnosis of heart failure hospitalized between 1 January 2016 and 31 December 2018 in one of 86 German Helios hospitals were examined. Comorbidities were defined by ICD-10 codes from administrative data. The data set was randomly split into 75/25% portions for model development and testing. Five algorithms were evaluated: logistic regression [generalized linear models (GLMs)], random forest (RF), gradient boosting machine (GBM), single-layer neural network (NNET), and extreme gradient boosting (XGBoost). After model tuning, the receiver operating characteristics area under the curves (ROC AUCs) were calculated and compared with DeLong’s test. A total of 59 074 inpatient cases (mean age 77.6 ± 11.1 years, 51.9% female, 89.4% NYHA Class III/IV) were included and in-hospital mortality was 6.2%. In the test data set, calculated ROC AUCs were 0.853 [95% confidence interval (CI) 0.842–0.863] for GLM, 0.851 (95% CI 0.840–0.862) for RF, 0.855 (95% CI 0.844–0.865) for GBM, 0.836 (95% CI 0.823–0.849) for NNET, and 0.856 (95% CI 9.846–0.867) for XGBoost. XGBoost outperformed all models except GBM. Conclusion Machine learning-based processing of administrative data enables the creation of well-performing prediction models for in-hospital mortality in heart failure patients.

Zusammenfassung Ziel der Studie Die Auswirkungen der COVID-19-Pandemie in 2020 auf die Anzahl der täglichen psychiatrischen Notfallaufnahmen und die stationäre psychiatrische Aufenthaltsdauer wurde mit Vorjahren verglichen. Methodik In einer retrospektiven Studie wurden die 4 Quartale 2020 mehrerer psychiatrischer Kliniken in Deutschland mit den jeweiligen Quartalen von 2018 und 2019 statistisch verglichen. Ergebnisse Insgesamt wurden 73 412 Fälle analysiert. Im 2. Quartal 2020 war die Zahl der täglichen Aufnahmen mit 59,1 signifikant niedriger im Vergleich zum Kontrollzeitraum mit 70,7 (Inzidenzratenverhältnis [95 %-Konfidenzintervall] 0,81 [0,69; 0,96]; p = 0,012). Die Aufenthaltsdauer war zwischen allen Quartalen 2020 im Vergleich zum Kontrollzeitraum numerisch, aber nicht signifikant unterschiedlich. Schlussfolgerung Die COVID-19-Pandemie zeigt deutliche Auswirkungen auf die stationäre psychiatrische Versorgung. Zukünftig muss der Blick stärker auf die Notfall- und Krisenversorgung psychisch erkrankter Menschen gelenkt werden.

Purpose The COVID-19 pandemic has led to global changes in healthcare systems. The purpose of this study was to investigate the effects on surgical care of patients. Methods We performed a retrospective analysis of routine data from the largest hospital group in Germany (68 acute hospitals). Included were inpatients who underwent cholecystectomy between March 19, 2020 (beginning of the first lockdown in Germany) and September 22, 2020. These patients were compared with those treated in the same interval in 2019. Results In the 2020 study period, 4035 patients met the inclusion criteria (2019: 4526 patients). During the first lockdown, there was a significant reduction in the number of cholecystectomies performed (51.1% decrease). More patients with a higher risk profile underwent urgent operations, which were accompanied by a significant increase in conversion from laparoscopic to open cholecystectomy. The patients were treated as inpatients for a longer duration than 2019, and the mortality rate increased significantly to 1.3% (2019: 0.1%). The complication rate also showed a significant increase. After the end of the first lockdown, daily admission rates normalized very quickly. However, it was not possible to fully address the backlog of operations. Conclusion There is still a “patient stagnation” 6 months after the first German lockdown. Extrapolated to the national level, this corresponds to almost 21,000 fewer cholecystectomies performed in Germany in 2020. It remains to be seen whether surgical rates will return to pre-pandemic levels and whether complications will arise in the future due to the lack of operations.

The impact of COVID-19 on urgent and involuntary inpatient admissions, as well as coercive measures, has not been assessed so far. A retrospective study was performed analyzing claims data for inpatient psychiatric admissions between 2018 and 2020 (total n = 64,502) from a large German Hospital network. Whilst the total number of urgent admissions decreased in 2020 (12,383) as compared to 2019 (13,493) and 2018 (13,469), a significant increase in the percentage of urgent admissions was observed in 2020 (62.9%) as compared to 2019 (60.6%) and 2018 (59.7%). Compared to this study period, Odds ratio (OR) for proportion were 0.87 (0.84, 0.91) and 0.91 (0.87, 0.95) for 2018 and 2019, respectively (both p

ZusammenfassungCOVID-19 hat zu umfassenden Veränderungen der Welt, wie wir sie bisher kannten, geführt. Durch den starken Anstieg intensivpflichtiger COVID-Patienten wurden beispielsweise elektive Aufnahmen und Eingriffe verschoben. Aber auch Notfälle wie Myokardinfarkte gingen zurück. Die hier vorliegende Studie hat sich mit den Auswirkungen der COVID-Pandemie auf viszeralchirurgische Notfälle anhand von 5 Indikatoroperationen beschäftigt. Dafür wurden Routinedaten aus 73 Akutkrankenhäusern der Helios-Gruppe ausgewertet. Eingeschlossen wurden die Eingriffe, die zwischen dem 13.03.2020 und 12.03.2021 durchgeführt wurden. Verglichen wurden die Daten mit dem Zeitraum vom 13.03.2019 bis zum 12.03.2020.Die Anzahl der Eingriffe bei schwerwiegenden Notfällen (Ileus, mesenteriale Ischämie und Ulkusperforation) sind konstant geblieben. Die Liegedauer im Krankenhaus war im Pandemiejahr 2020 jedoch signifikant kürzer als im Vergleichsjahr 2019. Die Anzahl der Cholezystektomien und Appendektomien war im Pandemiejahr signifikant geringer als im Vergleichsjahr 2019. Die Outcome-Parameter intensivmedizinische Betreuung, invasive Beatmung und Krankenhausmortalität waren zwischen den beiden Zeiträumen für die untersuchten Eingriffe vergleichbar.

Aims Digital health technologies have the potential to improve patient care sustainably. A digital capturing of patient-reported outcome measures (PROMs) could facilitate patients’ surveillance and endpoint assessment within clinical trials especially in heart failure (HF) patients. However, data regarding the availability of digital infrastructure and patients’ willingness to use digital health solutions are scarce. Therefore, we conducted a survey as part of a digital-based HF registry. Methods and results The Helios Heart registry (H2-registry) has been introduced as a prospective registry being based on digitally augmented processes throughout the whole trial conduction from patients’ selection to data collection and follow-up (FU). Patient-reported outcome measures are captured paper-based at recruitment, but patients are offered two digital solutions for FU. Overall, 125 patients (mean age 67.8 years, 34.4% female) were included in the single-centre run-in phase of 16 weeks. Of them, 52.0% were not interested in any digital contact as part of the FU. If digital PROM capturing was conceivable, a web-based solution (70.0%) was preferred to an application-based approach (30.0%). Discrepancies occurred regarding the availability of email accounts and smartphones. Patients in the non-digital group were older (72.0 years vs. 63.2 years, P Conclusions Our survey illustrated difficulties of implementing a digital FU to record PROMs in a contemporary HF cohort in particular among older patients. Further research is required to specify reasons in case of patients’ unwillingness and to better tailor digital health solutions to patients’ specific needs.

ERAS (Enhanced Recovery After Surgery) describes a multimodal, interdisciplinary and interprofessional treatment concept that optimizes the postoperative convalescence of the patient through the use of evidence-based measures.The aim of this article is to examine the economic feasibility of the concept in the German DRG system.Since August 2019, patients have been treated in our clinic according to the later certified ERAS concept. The last 20 patients before ERAS implementation are compared below with 20 patients after ERAS implementation, who were identified using a matched pair analysis. In addition to the comparison of costs and revenues, the clinical outcome of the patients is also presented.The cases of the patients in the pre-ERAS cohort caused median costs of € 7432.83. BWR of 3.38 were billable. The resulting DRG revenue for the patients in this group amounted to € 11325.78. The proceeds generated in the end amounted to € 4575.14. The cases of patients in the ERAS cohort resulted in costs of € 5582.96. BWR of 2.84 could be billed. The DRG proceeds for the patients in this group therefore amounted to € 10014.18. The profit generated was thus € 4993.84.The cost reduction generated by ERAS was comparable to the "loss" caused by the BWR decrease. ERAS is therefore also possible to cover costs in the German DRG system.ERAS (Enhanced Recovery After Surgery) beschreibt ein multimodales, interdisziplinäres und interprofessionelles Behandlungskonzept, welches die postoperative Rekonvaleszenz des Patienten durch den Einsatz evidenzbasierter Maßnahmen optimiert.Ziel dieses Artikels ist es, die ökonomische Abbildbarkeit des Konzeptes im deutschen DRG-System zu untersuchen.Seit August 2019 werden Patienten in unserer Klinik nach dem später zertifizierten ERAS-Konzept behandelt. Die letzten 20 Patienten vor ERAS-Implementierung werden im Folgenden mit 20 Patienten nach ERAS-Implementierung verglichen, die über eine Matched-Pair-Analyse identifiziert wurden. Neben dem Vergleich von Kosten und Erlös wird auch das klinische Outcome der Patienten dargestellt.Die Fälle der Patienten der präERAS-Kohorte haben mediane Kosten von 7432,83 € verursacht. Abrechenbar waren BWR von 3,38. Der daraus resultierende DRG-Erlös für die Patienten dieser Gruppe belief sich auf 11325,78 €. Der letztlich generierte Erlös belief sich somit auf 4575,14 €. Die Fälle der Patienten der ERAS-Kohorte haben Kosten von 5582,96 € verursacht. Abrechenbar waren BWR in Höhe von 2,84. Der DRG-Erlös für die Patienten dieser Gruppe belief sich demnach auf 10014,18 €. Der erwirtschaftete Gewinn betrug somit 4993,84 €.Die durch ERAS generierte Kostenreduktion war vergleichbar zum „Verlust“ durch den BWR-Rückgang. ERAS ist demnach auch im deutschen DRG-System kostendeckend möglich.

Zusammenfassung Hintergrund ERAS (Enhanced Recovery After Surgery) beschreibt ein multimodales, interdisziplinäres und interprofessionelles Behandlungskonzept, welches die postoperative Rekonvaleszenz des Patienten durch den Einsatz evidenzbasierter Maßnahmen optimiert. Ziel der Arbeit (Fragestellung) Ziel dieses Artikels ist es, die ökonomische Abbildbarkeit des Konzeptes im deutschen DRG-System zu untersuchen. Material und Methoden Seit August 2019 werden Patienten in unserer Klinik nach dem später zertifizierten ERAS-Konzept behandelt. Die letzten 20 Patienten vor ERAS-Implementierung werden im Folgenden mit 20 Patienten nach ERAS-Implementierung verglichen, die über eine Matched-Pair-Analyse identifiziert wurden. Neben dem Vergleich von Kosten und Erlös wird auch das klinische Outcome der Patienten dargestellt. Ergebnisse Die Fälle der Patienten der präERAS-Kohorte haben mediane Kosten von 7432,83 € verursacht. Abrechenbar waren BWR von 3,38. Der daraus resultierende DRG-Erlös für die Patienten dieser Gruppe belief sich auf 11325,78 €. Der letztlich generierte Erlös belief sich somit auf 4575,14 €. Die Fälle der Patienten der ERAS-Kohorte haben Kosten von 5582,96 € verursacht. Abrechenbar waren BWR in Höhe von 2,84. Der DRG-Erlös für die Patienten dieser Gruppe belief sich demnach auf 10014,18 €. Der erwirtschaftete Gewinn betrug somit 4993,84 €. Diskussion Die durch ERAS generierte Kostenreduktion war vergleichbar zum „Verlust“ durch den BWR-Rückgang. ERAS ist demnach auch im deutschen DRG-System kostendeckend möglich.

Aims Several reports indicate lower rates of emergency admissions in the cardiovascular sector and reduced admissions of patients with chronic diseases during the Coronavirus SARS-CoV-2 (COVID-19) pandemic. The aim of this study was therefore to evaluate numbers of admissions in incident and prevalent atrial fibrillation and flutter (AF) and to analyse care pathways in comparison to 2019.Methods A retrospective analysis of claims data of 74 German Helios hospitals was performed to identify consecutive patients hospitalized with a main discharge diagnosis of AF. A study period including the start of the German national protection phase (13 March 2020 to 16 July 2020) was compared to a previous year control cohort (15 March 2019 to 18 July 2019), with further sub-division into early and late phase. Incidence rate ratios (IRRs) were calculated. Numbers of admission per day (A/day) for incident and prevalent AF and care pathways including readmissions, numbers of transesophageal echocardiogram (TEE), electrical cardioversion (CV), and catheter ablation (CA) were analysed.Results During the COVID-19 pandemic, there was a significant decrease in total AF admissions both in the early (44.4 vs. 77.5 A/day, IRR 0.57 [95% confidence interval (CI) 0.54–0.61], P Conclusion During the COVID-19 pandemic, AF admission rates declined significantly, with a more pronounced reduction in incident than in prevalent AF. Overall AF care was maintained during early and late pandemic phases with only minor changes, namely less frequent use of TEE. Confirmation of these findings in other study populations and identification of underlying causes are required to ensure optimal therapy in patients with AF during the COVID-19 pandemic.

Objective: In Germany, current evidence shows that acute ischemic stroke (AIS) associated hospitalizations decreased only during the first wave of COVID-19, but not in waves two, three or four. Similarly, the first pandemic wave in Germany was the only one to be associated with an increase in AIS in-hospital [for full text, please go to the a.m. URL]