@article{KippnichSkazelKlingshirnetal.2022, author = {Kippnich, Maximilian and Skazel, Tobias and Klingshirn, Hanna and Gerken, Laura and Heuschmann, Peter and Haas, Kirsten and Schutzmeier, Martha and Brandstetter, Lilly and Weismann, Dirk and Reuschenbach, Bernd and Meybohm, Patrick and Wurmb, Thomas}, title = {Analyse des Weaningprozesses bei Intensivpatienten im Hinblick auf Dokumentation und Verlegung in weiterbehandelnde Einheiten}, series = {Medizinische Klinik, Intensivmedizin und Notfallmedizin}, volume = {118}, journal = {Medizinische Klinik, Intensivmedizin und Notfallmedizin}, doi = {10.1007/s00063-022-00941-5}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-346742}, pages = {269-276}, year = {2022}, abstract = {Hintergrund und Fragestellung Die Entw{\"o}hnung von Beatmungsger{\"a}ten wird nicht immer auf der prim{\"a}r behandelnden Intensivstation abgeschlossen. Die Weiterverlegung in andere Behandlungseinrichtungen stellt einen sensiblen Abschnitt in der Behandlung und Rehabilitation des Weaningpatienten dar. Ziel der vorliegenden Studie war die Untersuchung des {\"U}berleitungsmanagements und des Interhospitaltransfers von Weaningpatienten unter besonderer Ber{\"u}cksichtigung der Dokumentationsqualit{\"a}t. Methodik Es erfolge eine retrospektive Datenanalyse eines Jahrs (2018) auf 2 Intensivstationen eines Universit{\"a}tsklinikums. Eingeschlossen wurden alle beatmeten Patienten mit folgenden Tracerdiagnosen: COPD, Asthma, Polytrauma, Pneumonie, Sepsis, ARDS und Reanimation (Beatmung > 24 h). Ergebnisse Insgesamt konnten 750 Patienten in die Untersuchung eingeschlossen werden (Alter 64 [52, 8-76; Median, IQR]; 32 \% weiblich). Davon waren 48 (6,4 \%) Patienten zum Zeitpunkt der Verlegung nicht entw{\"o}hnt (v. a. Sepsis und ARDS). Die Routinedokumentation war bei den Abschnitten „Spontaneous Breathing Trial", „Bewertung der Entw{\"o}hungsbereitschaft" und „vermutete Entw{\"o}hnbarkeit" ausreichend, um die Erf{\"u}llung der Parameter der S2k-Leitlinie „Prolongiertes Weaning" ad{\"a}quat zu beurteilen. Vorwiegend wurden diese Patienten mit Tracheostoma (76 \%) in Rehabilitationskliniken (44 \%) mittels spezialisierten Rettungsmitteln des arztbegleiteten Patiententransports verlegt (75 \%). Diskussion Die Verlegung nicht entw{\"o}hnter Patienten nach initialem Intensivaufenthalt ist ein relevantes Thema f{\"u}r den Interhospitaltransfer. Die Routinedokumentation eines strukturierten Weaningprozesses ist in Kernelementen ausreichend, um den Weaningprozess l{\"u}ckenlos zu beschreiben. Dies ist f{\"u}r die Kontinuit{\"a}t in der Weiterbehandlung dieser Patienten von großer Bedeutung.}, language = {de} } @article{BeierleSchobelVogeletal.2021, author = {Beierle, Felix and Schobel, Johannes and Vogel, Carsten and Allgaier, Johannes and Mulansky, Lena and Haug, Fabian and Haug, Julian and Schlee, Winfried and Holfelder, Marc and Stach, Michael and Schickler, Marc and Baumeister, Harald and Cohrdes, Caroline and Deckert, J{\"u}rgen and Deserno, Lorenz and Edler, Johanna-Sophie and Eichner, Felizitas A. and Greger, Helmut and Hein, Grit and Heuschmann, Peter and John, Dennis and Kestler, Hans A. and Krefting, Dagmar and Langguth, Berthold and Meybohm, Patrick and Probst, Thomas and Reichert, Manfred and Romanos, Marcel and St{\"o}rk, Stefan and Terhorst, Yannik and Weiß, Martin and Pryss, R{\"u}diger}, title = {Corona Health — A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic}, series = {International Journal of Environmental Research and Public Health}, volume = {18}, journal = {International Journal of Environmental Research and Public Health}, number = {14}, issn = {1660-4601}, doi = {10.3390/ijerph18147395}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-242658}, year = {2021}, abstract = {Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures.}, language = {en} } @article{HerrmannAdamNotzetal.2020, author = {Herrmann, Johannes and Adam, Elisabeth Hannah and Notz, Quirin and Helmer, Philipp and Sonntagbauer, Michael and Ungemach-Papenberg, Peter and Sanns, Andreas and Zausig, York and Steinfeldt, Thorsten and Torje, Iuliu and Schmid, Benedikt and Schlesinger, Tobias and Rolfes, Caroline and Reyher, Christian and Kredel, Markus and Stumpner, Jan and Brack, Alexander and Wurmb, Thomas and Gill-Schuster, Daniel and Kranke, Peter and Weismann, Dirk and Klinker, Hartwig and Heuschmann, Peter and R{\"u}cker, Viktoria and Frantz, Stefan and Ertl, Georg and Muellenbach, Ralf Michael and Mutlak, Haitham and Meybohm, Patrick and Zacharowski, Kai and Lotz, Christopher}, title = {COVID-19 Induced Acute Respiratory Distress Syndrome — A Multicenter Observational Study}, series = {Frontiers in Medicine}, volume = {7}, journal = {Frontiers in Medicine}, issn = {2296-858X}, doi = {10.3389/fmed.2020.599533}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-219834}, year = {2020}, abstract = {Background: Proportions of patients dying from the coronavirus disease-19 (COVID-19) vary between different countries. We report the characteristics; clinical course and outcome of patients requiring intensive care due to COVID-19 induced acute respiratory distress syndrome (ARDS). Methods: This is a retrospective, observational multicentre study in five German secondary or tertiary care hospitals. All patients consecutively admitted to the intensive care unit (ICU) in any of the participating hospitals between March 12 and May 4, 2020 with a COVID-19 induced ARDS were included. Results: A total of 106 ICU patients were treated for COVID-19 induced ARDS, whereas severe ARDS was present in the majority of cases. Survival of ICU treatment was 65.0\%. Median duration of ICU treatment was 11 days; median duration of mechanical ventilation was 9 days. The majority of ICU treated patients (75.5\%) did not receive any antiviral or anti-inflammatory therapies. Venovenous (vv) ECMO was utilized in 16.3\%. ICU triage with population-level decision making was not necessary at any time. Univariate analysis associated older age, diabetes mellitus or a higher SOFA score on admission with non-survival during ICU stay. Conclusions: A high level of care adhering to standard ARDS treatments lead to a good outcome in critically ill COVID-19 patients.}, language = {en} } @article{HerrmannMuellerNotzetal.2023, author = {Herrmann, Johannes and M{\"u}ller, Kerstin and Notz, Quirin and H{\"u}bsch, Martha and Haas, Kirsten and Horn, Anna and Schmidt, Julia and Heuschmann, Peter and Maschmann, Jens and Frosch, Matthias and Deckert, J{\"u}rgen and Einsele, Hermann and Ertl, Georg and Frantz, Stefan and Meybohm, Patrick and Lotz, Christopher}, title = {Prospective single-center study of health-related quality of life after COVID-19 in ICU and non-ICU patients}, series = {Scientific Reports}, volume = {13}, journal = {Scientific Reports}, doi = {10.1038/s41598-023-33783-y}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357174}, year = {2023}, abstract = {Long-term sequelae in hospitalized Coronavirus Disease 2019 (COVID-19) patients may result in limited quality of life. The current study aimed to determine health-related quality of life (HRQoL) after COVID-19 hospitalization in non-intensive care unit (ICU) and ICU patients. This is a single-center study at the University Hospital of Wuerzburg, Germany. Patients eligible were hospitalized with COVID-19 between March 2020 and December 2020. Patients were interviewed 3 and 12 months after hospital discharge. Questionnaires included the European Quality of Life 5 Dimensions 5 Level (EQ-5D-5L), patient health questionnaire-9 (PHQ-9), the generalized anxiety disorder 7 scale (GAD-7), FACIT fatigue scale, perceived stress scale (PSS-10) and posttraumatic symptom scale 10 (PTSS-10). 85 patients were included in the study. The EQ5D-5L-Index significantly differed between non-ICU (0.78 ± 0.33 and 0.84 ± 0.23) and ICU (0.71 ± 0.27; 0.74 ± 0.2) patients after 3- and 12-months. Of non-ICU 87\% and 80\% of ICU survivors lived at home without support after 12 months. One-third of ICU and half of the non-ICU patients returned to work. A higher percentage of ICU patients was limited in their activities of daily living compared to non-ICU patients. Depression and fatigue were present in one fifth of the ICU patients. Stress levels remained high with only 24\% of non-ICU and 3\% of ICU patients (p = 0.0186) having low perceived stress. Posttraumatic symptoms were present in 5\% of non-ICU and 10\% of ICU patients. HRQoL is limited in COVID-19 ICU patients 3- and 12-months post COVID-19 hospitalization, with significantly less improvement at 12-months compared to non-ICU patients. Mental disorders were common highlighting the complexity of post-COVID-19 symptoms as well as the necessity to educate patients and primary care providers about monitoring mental well-being post COVID-19.}, language = {en} } @article{SommerAmrBavendieketal.2022, author = {Sommer, Kim K. and Amr, Ali and Bavendiek, Udo and Beierle, Felix and Brunecker, Peter and Dathe, Henning and Eils, J{\"u}rgen and Ertl, Maximilian and Fette, Georg and Gietzelt, Matthias and Heidecker, Bettina and Hellenkamp, Kristian and Heuschmann, Peter and Hoos, Jennifer D. E. and Keszty{\"u}s, Tibor and Kerwagen, Fabian and Kindermann, Aljoscha and Krefting, Dagmar and Landmesser, Ulf and Marschollek, Michael and Meder, Benjamin and Merzweiler, Angela and Prasser, Fabian and Pryss, R{\"u}diger and Richter, Jendrik and Schneider, Philipp and St{\"o}rk, Stefan and Dieterich, Christoph}, title = {Structured, harmonized, and interoperable integration of clinical routine data to compute heart failure risk scores}, series = {Life}, volume = {12}, journal = {Life}, number = {5}, issn = {2075-1729}, doi = {10.3390/life12050749}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-275239}, year = {2022}, abstract = {Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care.}, language = {en} }