@article{DiefenhardtMartinLudmiretal.2022,
  author    = {Diefenhardt, Markus and Martin, Daniel and Ludmir, Ethan B. and Fleischmann, Maximilian and Hofheinz, Ralf-Dieter and Ghadimi, Michael and Kosmala, Rebekka and Polat, B{\"u}lent and Friede, Tim and Minsky, Bruce D. and R{\"o}del, Claus and Fokas, Emmanouil},
  title     = {Development and validation of a predictive model for toxicity of neoadjuvant chemoradiotherapy in rectal cancer in the CAO/ARO/AIO-04 phase III trial},
  series = {Cancers},
  volume    = {14},
  journal   = {Cancers},
  number    = {18},
  issn      = {2072-6694},
  doi       = {10.3390/cancers14184425},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-288081},
  year      = {2022},
  abstract  = {Background: There is a lack of predictive models to identify patients at risk of high neoadjuvant chemoradiotherapy (CRT)-related acute toxicity in rectal cancer. Patient and Methods: The CAO/ARO/AIO-04 trial was divided into a development (n = 831) and a validation (n = 405) cohort. Using a best subset selection approach, predictive models for grade 3-4 acute toxicity were calculated including clinicopathologic characteristics, pretreatment blood parameters, and baseline results of quality-of-life questionnaires and evaluated using the area under the ROC curve. The final model was internally and externally validated. Results: In the development cohort, 155 patients developed grade 3-4 toxicities due to CRT. In the final evaluation, 15 parameters were included in the logistic regression models using best-subset selection. BMI, gender, and emotional functioning remained significant for predicting toxicity, with a discrimination ability adjusted for overfitting of AUC 0.687. The odds of experiencing high-grade toxicity were 3.8 times higher in the intermediate and 6.4 times higher in the high-risk group (p < 0.001). Rates of toxicity (p = 0.001) and low treatment adherence (p = 0.007) remained significantly different in the validation cohort, whereas discrimination ability was not significantly worse (DeLong test 0.09). Conclusion: We developed and validated a predictive model for toxicity using gender, BMI, and emotional functioning. Such a model could help identify patients at risk for treatment-related high-grade toxicity to assist in treatment guidance and patient participation in shared decision making.},
  language  = {en}
}
@article{MuellerHummersHillermannetal.2020,
  author    = {M{\"u}ller, Frank and Hummers, Eva and Hillermann, Nele and Dopfer, Christian and Jablonka, Alexandra and Friede, Tim and Simmenroth, Anne and Wetzke, Martin},
  title     = {Factors influencing the frequency of airway infections in underage refugees: a retrospective, cross sectional study},
  series = {International Journal of Environmental Research and Public Health},
  volume    = {17},
  journal   = {International Journal of Environmental Research and Public Health},
  number    = {18},
  issn      = {1660-4601},
  doi       = {10.3390/ijerph17186823},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-213134},
  year      = {2020},
  abstract  = {Background: Infections are a leading cause of refugee morbidity. Recent data on the rate of airway infections and factors influencing their spread in refugee reception centers is scarce. Methods: A retrospective, cross-sectional study of de-identified medical records with a focus on respiratory infections in underage refugees was conducted at two large German refugee reception centers. Results: In total, medical data from n = 10,431 refugees over an observational period of n = 819 days was analyzed. Among pediatric patients (n = 4289), 55.3\% presented at least once to the on-site medical ward with an acute respiratory infection or signs thereof. In 38.4\% of pediatric consultations, acute airway infections or signs thereof were present. Airway infections spiked during colder months and were significantly more prevalent amongst preschool and resettled children. Their frequency displayed a positive correlation with the number of refugees housed at the reception centers. Conclusions: We show that respiratory infections are a leading cause for morbidity in young refugees and that their rate is influenced age, season, status, and residential density. This illustrates the need to protect refugee children from contracting airway infections which may also reduce the spread of coronavirus disease 2019 (COVID-19) during the current pandemic.},
  language  = {en}
}