TY - JOUR A1 - Kippnich, Maximilian A1 - Skazel, Tobias A1 - Klingshirn, Hanna A1 - Gerken, Laura A1 - Heuschmann, Peter A1 - Haas, Kirsten A1 - Schutzmeier, Martha A1 - Brandstetter, Lilly A1 - Weismann, Dirk A1 - Reuschenbach, Bernd A1 - Meybohm, Patrick A1 - Wurmb, Thomas T1 - Analyse des Weaningprozesses bei Intensivpatienten im Hinblick auf Dokumentation und Verlegung in weiterbehandelnde Einheiten T1 - Analysis of the weaning process in intensive care patients with regard to documentation and transfer to further treatment units JF - Medizinische Klinik, Intensivmedizin und Notfallmedizin N2 - Hintergrund und Fragestellung Die Entwöhnung von Beatmungsgeräten wird nicht immer auf der primär 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 Überleitungsmanagements und des Interhospitaltransfers von Weaningpatienten unter besonderer Berücksichtigung der Dokumentationsqualität. Methodik Es erfolge eine retrospektive Datenanalyse eines Jahrs (2018) auf 2 Intensivstationen eines Universitätsklinikums. 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 entwöhnt (v. a. Sepsis und ARDS). Die Routinedokumentation war bei den Abschnitten „Spontaneous Breathing Trial“, „Bewertung der Entwöhungsbereitschaft“ und „vermutete Entwöhnbarkeit“ ausreichend, um die Erfüllung der Parameter der S2k-Leitlinie „Prolongiertes Weaning“ adäquat zu beurteilen. Vorwiegend wurden diese Patienten mit Tracheostoma (76 %) in Rehabilitationskliniken (44 %) mittels spezialisierten Rettungsmitteln des arztbegleiteten Patiententransports verlegt (75 %). Diskussion Die Verlegung nicht entwöhnter Patienten nach initialem Intensivaufenthalt ist ein relevantes Thema für den Interhospitaltransfer. Die Routinedokumentation eines strukturierten Weaningprozesses ist in Kernelementen ausreichend, um den Weaningprozess lückenlos zu beschreiben. Dies ist für die Kontinuität in der Weiterbehandlung dieser Patienten von großer Bedeutung. N2 - Background and Objectives Weaning from ventilators is not always finished in the primary intensive care unit (ICU) setting. Transfer to other treatment facilities is a sensitive stage in the treatment and rehabilitation of the weaning patient. The aim of the present study was to investigate transition management and interhospital transfer of weaning patients, with special emphasis on documentation quality. Methods A retrospective data analysis of one year (2018) in two ICUs of a university hospital was performed. All ventilated patients with the following tracer diagnoses were included: chronic obstructive pulmonary disease (COPD), asthma, patients with multiple injuries, pneumonia, sepsis, acute respiratory distress syndrome (ARDS), and cardiac arrest (ventilation > 24 h). Results A total of 750 patients were included in the study (median age 64 [IQR 52.8–76]; 32% female). In all, 48 (6.4%) patients were not weaned at the time of transfer (especially sepsis and ARDS). Routine documentation was sufficient for the sections “spontaneous breathing trial”, “assessment of readiness to wean” and “presumed weanability” to adequately assess the parameters of the German S2k guideline “prolonged weaning”. Predominantly, these patients were transferred with tracheostoma (76%) to rehabilitation units (44%) by specialized physician-assisted patient transport ambulances (75%). Discussion The transfer of ventilated patients after initial ICU stay is a relevant issue for interhospital transfer. Routine documentation of a structured weaning process is sufficient in core elements to describe the weaning process. This is of great importance for continuity in the further treatment of these patients. KW - Weaning KW - Langzeitbeatmung KW - Interhospitaltransfer KW - Intensivtransport KW - Dokumentationsqualität KW - weaning KW - long-term ventilation KW - interhospital transfer KW - intensive care transport KW - documentation quality Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-346742 VL - 118 ER - TY - JOUR A1 - Beierle, Felix A1 - Schobel, Johannes A1 - Vogel, Carsten A1 - Allgaier, Johannes A1 - Mulansky, Lena A1 - Haug, Fabian A1 - Haug, Julian A1 - Schlee, Winfried A1 - Holfelder, Marc A1 - Stach, Michael A1 - Schickler, Marc A1 - Baumeister, Harald A1 - Cohrdes, Caroline A1 - Deckert, Jürgen A1 - Deserno, Lorenz A1 - Edler, Johanna-Sophie A1 - Eichner, Felizitas A. A1 - Greger, Helmut A1 - Hein, Grit A1 - Heuschmann, Peter A1 - John, Dennis A1 - Kestler, Hans A. A1 - Krefting, Dagmar A1 - Langguth, Berthold A1 - Meybohm, Patrick A1 - Probst, Thomas A1 - Reichert, Manfred A1 - Romanos, Marcel A1 - Störk, Stefan A1 - Terhorst, Yannik A1 - Weiß, Martin A1 - Pryss, Rüdiger T1 - Corona Health — A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic JF - International Journal of Environmental Research and Public Health N2 - 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. KW - mobile health KW - ecological momentary assessment KW - digital phenotyping KW - longitudinal studies KW - mobile crowdsensing Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-242658 SN - 1660-4601 VL - 18 IS - 14 ER - TY - JOUR A1 - Herrmann, Johannes A1 - Adam, Elisabeth Hannah A1 - Notz, Quirin A1 - Helmer, Philipp A1 - Sonntagbauer, Michael A1 - Ungemach-Papenberg, Peter A1 - Sanns, Andreas A1 - Zausig, York A1 - Steinfeldt, Thorsten A1 - Torje, Iuliu A1 - Schmid, Benedikt A1 - Schlesinger, Tobias A1 - Rolfes, Caroline A1 - Reyher, Christian A1 - Kredel, Markus A1 - Stumpner, Jan A1 - Brack, Alexander A1 - Wurmb, Thomas A1 - Gill-Schuster, Daniel A1 - Kranke, Peter A1 - Weismann, Dirk A1 - Klinker, Hartwig A1 - Heuschmann, Peter A1 - Rücker, Viktoria A1 - Frantz, Stefan A1 - Ertl, Georg A1 - Muellenbach, Ralf Michael A1 - Mutlak, Haitham A1 - Meybohm, Patrick A1 - Zacharowski, Kai A1 - Lotz, Christopher T1 - COVID-19 Induced Acute Respiratory Distress Syndrome — A Multicenter Observational Study JF - Frontiers in Medicine N2 - 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. KW - COVID-19 KW - ARDS (acute respiratory distress syndrome) KW - intensive care medicine KW - pandemia KW - Germany Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-219834 SN - 2296-858X VL - 7 ER - TY - JOUR A1 - Herrmann, Johannes A1 - Müller, Kerstin A1 - Notz, Quirin A1 - Hübsch, Martha A1 - Haas, Kirsten A1 - Horn, Anna A1 - Schmidt, Julia A1 - Heuschmann, Peter A1 - Maschmann, Jens A1 - Frosch, Matthias A1 - Deckert, Jürgen A1 - Einsele, Hermann A1 - Ertl, Georg A1 - Frantz, Stefan A1 - Meybohm, Patrick A1 - Lotz, Christopher T1 - Prospective single-center study of health-related quality of life after COVID-19 in ICU and non-ICU patients JF - Scientific Reports N2 - 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. KW - health care KW - public health KW - quality of life Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-357174 VL - 13 ER - TY - JOUR A1 - Sommer, Kim K. A1 - Amr, Ali A1 - Bavendiek, Udo A1 - Beierle, Felix A1 - Brunecker, Peter A1 - Dathe, Henning A1 - Eils, Jürgen A1 - Ertl, Maximilian A1 - Fette, Georg A1 - Gietzelt, Matthias A1 - Heidecker, Bettina A1 - Hellenkamp, Kristian A1 - Heuschmann, Peter A1 - Hoos, Jennifer D. E. A1 - Kesztyüs, Tibor A1 - Kerwagen, Fabian A1 - Kindermann, Aljoscha A1 - Krefting, Dagmar A1 - Landmesser, Ulf A1 - Marschollek, Michael A1 - Meder, Benjamin A1 - Merzweiler, Angela A1 - Prasser, Fabian A1 - Pryss, Rüdiger A1 - Richter, Jendrik A1 - Schneider, Philipp A1 - Störk, Stefan A1 - Dieterich, Christoph T1 - Structured, harmonized, and interoperable integration of clinical routine data to compute heart failure risk scores JF - Life N2 - 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. KW - medical informatics initiative KW - HiGHmed KW - medical data integration center KW - clinical routine data KW - heart failure KW - risk prediction scores KW - semantic interoperability KW - openEHR Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-275239 SN - 2075-1729 VL - 12 IS - 5 ER -