@article{HaberstumpfForsterLeinweberetal.2022,
  author    = {Haberstumpf, Sophia and Forster, Andr{\´e} and Leinweber, Jonas and Rauskolb, Stefanie and Hewig, Johannes and Sendtner, Michael and Lauer, Martin and Polak, Thomas and Deckert, J{\"u}rgen and Herrmann, Martin J.},
  title     = {Measurement invariance testing of longitudinal neuropsychiatric test scores distinguishes pathological from normative cognitive decline and highlights its potential in early detection research},
  series = {Journal of Neuropsychology},
  volume    = {16},
  journal   = {Journal of Neuropsychology},
  number    = {2},
  doi       = {10.1111/jnp.12269},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-318932},
  pages     = {324 -- 352},
  year      = {2022},
  abstract  = {Objective Alzheimer's disease (AD) is a growing challenge worldwide, which is why the search for early-onset predictors must be focused as soon as possible. Longitudinal studies that investigate courses of neuropsychological and other variables screen for such predictors correlated to mild cognitive impairment (MCI). However, one often neglected issue in analyses of such studies is measurement invariance (MI), which is often assumed but not tested for. This study uses the absence of MI (non-MI) and latent factor scores instead of composite variables to assess properties of cognitive domains, compensation mechanisms, and their predictability to establish a method for a more comprehensive understanding of pathological cognitive decline. Methods An exploratory factor analysis (EFA) and a set of increasingly restricted confirmatory factor analyses (CFAs) were conducted to find latent factors, compared them with the composite approach, and to test for longitudinal (partial-)MI in a neuropsychiatric test battery, consisting of 14 test variables. A total of 330 elderly (mean age: 73.78 ± 1.52 years at baseline) were analyzed two times (3 years apart). Results EFA revealed a four-factor model representing declarative memory, attention, working memory, and visual-spatial processing. Based on CFA, an accurate model was estimated across both measurement timepoints. Partial non-MI was found for parameters such as loadings, test- and latent factor intercepts as well as latent factor variances. The latent factor approach was preferable to the composite approach. Conclusion The overall assessment of non-MI latent factors may pose a possible target for this field of research. Hence, the non-MI of variances indicated variables that are especially suited for the prediction of pathological cognitive decline, while non-MI of intercepts indicated general aging-related decline. As a result, the sole assessment of MI may help distinguish pathological from normative aging processes and additionally may reveal compensatory neuropsychological mechanisms.},
  language  = {en}
}
@article{HerrmannHerrmannPasslicketal.2022,
  author    = {Herrmann, Anna and Herrmann, Matthias and Passlick, Bernward and Herth, Felix and Herrmann, Johannes},
  title     = {Cycling-induced recurrent spontaneous pneumomediastinum and pneumopericardium in a young female patient},
  series = {Clinical Case Reports},
  volume    = {10},
  journal   = {Clinical Case Reports},
  number    = {3},
  doi       = {10.1002/ccr3.5587},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-276465},
  year      = {2022},
  abstract  = {We present an exceptional case of recurrent cycling-induced spontaneous pneumomediastinum and pneumopericardium in a female patient without any trauma. Radiological and endoscopic examinations were carried out to exclude other differential diagnoses. Decision for in-hospital observation and conservative treatment was made. No symptoms were reported 12 months after return to sports activity.},
  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}
}