@article{MuellerScholdenKirchhofMorbachetal.2019,
  author    = {M{\"u}ller-Scholden, Lara and Kirchhof, Jan and Morbach, Caroline and Breunig, Margret and Meijer, Rudy and R{\"u}cker, Viktoria and Tiffe, Theresa and Yurdadogan, Tino and Wagner, Martin and Gelbrich, G{\"o}tz and Bots, Michiel L. and St{\"o}rk, Stefan and Heuschmann, Peter U.},
  title     = {Segment-specific association of carotid-intima-media thickness with cardiovascular risk factors - findings from the STAAB cohort study},
  series = {BMC Cardiovascular Disorders},
  volume    = {19},
  journal   = {BMC Cardiovascular Disorders},
  number    = {84},
  doi       = {10.1186/s12872-019-1044-0},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-200720},
  year      = {2019},
  abstract  = {Background The guideline recommendation to not measure carotid intima-media thickness (CIMT) for cardiovascular risk prediction is based on the assessment of just one single carotid segment. We evaluated whether there is a segment-specific association between different measurement locations of CIMT and cardiovascular risk factors. Methods Subjects from the population-based STAAB cohort study comprising subjects aged 30 to 79 years of the general population from W{\"u}rzburg, Germany, were investigated. CIMT was measured on the far wall of both sides in three different predefined locations: common carotid artery (CCA), bulb, and internal carotid artery (ICA). Diabetes, dyslipidemia, hypertension, smoking, and obesity were considered as risk factors. In multivariable logistic regression analysis, odds ratios of risk factors per location were estimated for the endpoint of individual age- and sex-adjusted 75th percentile of CIMT. Results 2492 subjects were included in the analysis. Segment-specific CIMT was highest in the bulb, followed by CCA, and lowest in the ICA. Dyslipidemia, hypertension, and smoking were associated with CIMT, but not diabetes and obesity. We observed no relevant segment-specific association between the three different locations and risk factors, except for a possible interaction between smoking and ICA. Conclusions As no segment-specific association between cardiovascular risk factors and CIMT became evident, one simple measurement of one location may suffice to assess the cardiovascular risk of an individual.},
  language  = {en}
}
@article{YurdadoganMalschKotsevaetal.2021,
  author    = {Yurdadogan, Tino and Malsch, Carolin and Kotseva, Kornelia and Wood, David and Leyh, Rainer and Ertl, Georg and Karmann, Wolfgang and M{\"u}ller-Scholden, Lara and Morbach, Caroline and Breuning, Margret and Wagner, Martin and Gelbrich, G{\"o}tz and Bots, Michiel L. and Heuschmann, Peter U. and St{\"o}rk, Stefan},
  title     = {Functional versus morphological assessment of vascular age in patients with coronary heart disease},
  series = {Scientific Reports},
  volume    = {11},
  journal   = {Scientific Reports},
  number    = {1},
  doi       = {10.1038/s41598-021-96998-x},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-265810},
  year      = {2021},
  abstract  = {Communicating cardiovascular risk based on individual vascular age (VA) is a well acknowledged concept in patient education and disease prevention. VA may be derived functionally, e.g. by measurement of pulse wave velocity (PWV), or morphologically, e.g. by assessment of carotid intima-media thickness (cIMT). The purpose of this study was to investigate whether both approaches produce similar results. Within the context of the German subset of the EUROASPIRE IV survey, 501 patients with coronary heart disease underwent (a) oscillometric PWV measurement at the aortic, carotid-femoral and brachial-ankle site (PWVao, PWVcf, PWVba) and derivation of the aortic augmentation index (AIao); (b) bilateral cIMT assessment by high-resolution ultrasound at three sites (common, bulb, internal). Respective VA was calculated using published equations. According to VA derived from PWV, most patients exhibited values below chronological age indicating a counterintuitive healthier-than-anticipated vascular status: for VA(PWVao) in 68\% of patients; for VA\(_{AIao}\) in 52\% of patients. By contrast, VA derived from cIMT delivered opposite results: e.g. according to VA\(_{total-cIMT}\) accelerated vascular aging in 75\% of patients. To strengthen the concept of VA, further efforts are needed to better standardise the current approaches to estimate VA and, thereby, to improve comparability and clinical utility.},
  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}
}