@article{WeissGruendahlDeckertetal.2023,
  author    = {Weiß, Martin and Gr{\"u}ndahl, Marthe and Deckert, J{\"u}rgen and Eichner, Felizitas A. and Kohls, Mirjam and St{\"o}rk, Stefan and Heuschmann, Peter U. and Hein, Grit},
  title     = {Differential network interactions between psychosocial factors, mental health, and health-related quality of life in women and men},
  series = {Scientific Reports},
  volume    = {13},
  journal   = {Scientific Reports},
  organization    = {STAAB-COVID Study Group},
  doi       = {10.1038/s41598-023-38525-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357858},
  year      = {2023},
  abstract  = {Psychosocial factors affect mental health and health-related quality of life (HRQL) in a complex manner, yet gender differences in these interactions remain poorly understood. We investigated whether psychosocial factors such as social support and personal and work-related concerns impact mental health and HRQL differentially in women and men during the first year of the COVID-19 pandemic. Between June and October 2020, the first part of a COVID-19-specific program was conducted within the "Characteristics and Course of Heart Failure Stages A-B and Determinants of Progression (STAAB)" cohort study, a representative age- and gender-stratified sample of the general population of W{\"u}rzburg, Germany. Using psychometric networks, we first established the complex relations between personal social support, personal and work-related concerns, and their interactions with anxiety, depression, and HRQL. Second, we tested for gender differences by comparing expected influence, edge weight differences, and stability of the networks. The network comparison revealed a significant difference in the overall network structure. The male (N = 1370) but not the female network (N = 1520) showed a positive link between work-related concern and anxiety. In both networks, anxiety was the most central variable. These findings provide further evidence that the complex interplay of psychosocial factors with mental health and HRQL decisively depends on gender. Our results are relevant for the development of gender-specific interventions to increase resilience in times of pandemic crisis.},
  language  = {en}
}
@article{HerrmannLotzKaragiannidisetal.2022,
  author    = {Herrmann, Johannes and Lotz, Christopher and Karagiannidis, Christian and Weber-Carstens, Steffen and Kluge, Stefan and Putensen, Christian and Wehrfritz, Andreas and Schmidt, Karsten and Ellerkmann, Richard K. and Oswald, Daniel and Lotz, G{\"o}sta and Zotzmann, Viviane and Moerer, Onnen and K{\"u}hn, Christian and Kochanek, Matthias and Muellenbach, Ralf and Gaertner, Matthias and Fichtner, Falk and Brettner, Florian and Findeisen, Michael and Heim, Markus and Lahmer, Tobias and Rosenow, Felix and Haake, Nils and Lepper, Philipp M. and Rosenberger, Peter and Braune, Stephan and Kohls, Mirjam and Heuschmann, Peter and Meybohm, Patrick},
  title     = {Key characteristics impacting survival of COVID-19 extracorporeal membrane oxygenation},
  series = {Critical Care},
  volume    = {26},
  journal   = {Critical Care},
  number    = {1},
  doi       = {10.1186/s13054-022-04053-6},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-299686},
  year      = {2022},
  abstract  = {Background Severe COVID-19 induced acute respiratory distress syndrome (ARDS) often requires extracorporeal membrane oxygenation (ECMO). Recent German health insurance data revealed low ICU survival rates. Patient characteristics and experience of the ECMO center may determine intensive care unit (ICU) survival. The current study aimed to identify factors affecting ICU survival of COVID-19 ECMO patients. Methods 673 COVID-19 ARDS ECMO patients treated in 26 centers between January 1st 2020 and March 22nd 2021 were included. Data on clinical characteristics, adjunct therapies, complications, and outcome were documented. Block wise logistic regression analysis was applied to identify variables associated with ICU-survival. Results Most patients were between 50 and 70 years of age. PaO\(_{2}\)/FiO\(_{2}\) ratio prior to ECMO was 72 mmHg (IQR: 58-99). ICU survival was 31.4\%. Survival was significantly lower during the 2nd wave of the COVID-19 pandemic. A subgroup of 284 (42\%) patients fulfilling modified EOLIA criteria had a higher survival (38\%) (p = 0.0014, OR 0.64 (CI 0.41-0.99)). Survival differed between low, intermediate, and high-volume centers with 20\%, 30\%, and 38\%, respectively (p = 0.0024). Treatment in high volume centers resulted in an odds ratio of 0.55 (CI 0.28-1.02) compared to low volume centers. Additional factors associated with survival were younger age, shorter time between intubation and ECMO initiation, BMI > 35 (compared to < 25), absence of renal replacement therapy or major bleeding/thromboembolic events. Conclusions Structural and patient-related factors, including age, comorbidities and ECMO case volume, determined the survival of COVID-19 ECMO. These factors combined with a more liberal ECMO indication during the 2nd wave may explain the reasonably overall low survival rate. Careful selection of patients and treatment in high volume ECMO centers was associated with higher odds of ICU survival.},
  language  = {en}
}