TY  - JOUR
A1  - Diefenhardt, Markus
A1  - Martin, Daniel
A1  - Ludmir, Ethan B.
A1  - Fleischmann, Maximilian
A1  - Hofheinz, Ralf-Dieter
A1  - Ghadimi, Michael
A1  - Kosmala, Rebekka
A1  - Polat, Bülent
A1  - Friede, Tim
A1  - Minsky, Bruce D.
A1  - Rödel, Claus
A1  - Fokas, Emmanouil
T1  - Development and validation of a predictive model for toxicity of neoadjuvant chemoradiotherapy in rectal cancer in the CAO/ARO/AIO-04 phase III trial
JF  - Cancers
N2  - 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.
KW  - rectal cancer
KW  - toxicity
KW  - neoadjuvant
KW  - chemoradiotherapy
KW  - risk score
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-288081
SN  - 2072-6694
VL  - 14
IS  - 18
ER  - 
TY  - JOUR
A1  - Müller, Frank
A1  - Hummers, Eva
A1  - Hillermann, Nele
A1  - Dopfer, Christian
A1  - Jablonka, Alexandra
A1  - Friede, Tim
A1  - Simmenroth, Anne
A1  - Wetzke, Martin
T1  - Factors influencing the frequency of airway infections in underage refugees: a retrospective, cross sectional study
JF  - International Journal of Environmental Research and Public Health
N2  - 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.
KW  - refugees
KW  - migrants
KW  - respiratory infection
KW  - children
KW  - adolescents
KW  - seasonality
KW  - crowded housing
KW  - COVID-19
KW  - containment
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-213134
SN  - 1660-4601
VL  - 17
IS  - 18
ER  -