Do patients of integrative anthroposophic pediatric inpatient departments differ? Comparative analysis to all pediatric inpatients in Germany considering demographic and clinical characteristics.

BACKGROUND: Integrative medicine (IM) is a patient-centered, evidence-based, therapeutic paradigm which combines conventional and complementary approaches. The use of IM in pediatrics has increased in the past two decades and parents' demand for it is growing. An IM whole systems approach is anthroposophic medicine. Considering the growing demand for integrative approaches in children, it is relevant from a public health perspective to find out which kind of children use IM in Germany and whether they differ from the entirety of pediatric inpatients in Germany. Moreover, it would be interesting to known, whether these patients are willing to travel a longer distance to gain integrative treatment. METHODS: The present study investigates the standard ward documentation datasets of 29,956 patients of all German integrative anthroposophic pediatric inpatient wards from 2005 to 2016 and compares them systematically to collect data of the entirety of all pediatric inpatient wards in Germany. Apart from patients' age and gender, and the ICD-10 admission diagnoses, the geographical catchment area of the hospitals were analyzed. RESULTS: Sociodemographic characteristics of pediatric inpatients in the integrative anthroposophic departments (IAH) did not differ from the entirety of all pediatric inpatients. Regarding clinical characteristics, higher frequencies were found for endocrine, nutritional and metabolic diseases (IAH: 7.24% vs. 2.98%); mental, behavioral, and neurodevelopmental disorders (IAH: 9.83% vs. 3.78%) and nervous diseases (IAH: 8.82% vs. 5.16%) and lower frequencies for general pediatric diseases such as respiratory diseases (IAH: 17.06% vs. 19.83%), digestive diseases (IAH: 3.90% vs. 6.25%), and infectious and parasitic diseases (IAH: 12.88% vs. 14.82%) in comparison to the entirety of all pediatric inpatients in Germany. The IAH showed a broad catchment area, with most patients being from former, Western federal republic of Germany. Large catchment areas (> 100 km) for the IAH are merely covered by severe and chronic diseases. CONCLUSION: Pediatric inpatients of IAH do not differ from the entirety of pediatric inpatients in Germany regarding sociodemographic characteristics but show differences regarding clinical characteristics. Parents are willing to travel further distance to get specialized integrative anthroposophic medical care for children with severe and chronic diseases.

Angiographic score assessment improves cardiovascular risk prediction: the clinical value of SYNTAX and Gensini application.

BACKGROUND: Severity of coronary artery disease (CAD) is related to cardiovascular outcome. We aimed to assess the long-term follow-up depending on Synergy between percutaneous coronary intervention with Taxus and cardiac surgery (SYNTAX) and Gensini score for prognosis. Both scores increase with complexity and thus reflect risk of cardiovascular events. METHODS AND RESULTS: We determined complexity and extent of CAD by the SYNTAX and Gensini score in the AtheroGene cohort (N = 1,974, with 22.6 % women). The endpoint was non-fatal myocardial infarction (N = 132) and cardiovascular death (N = 159) over a median follow-up of 5.4 (Q1: 5.23/Q3: 5.57) years up to 8 years maximum (follow-up rate 99.4%). For SYNTAX score, the following distribution was used: low (≤22, N = 1,404), medium (23-32, N = 314), high score (>32, N = 256). Gensini score was split into thirds. Cox regression analysis showed a hazard ratio (HR) of 1.5 (95% confidence interval 1.16-1.95; p = 0.0024) for the log transformed SYNTAX score in a fully adjusted model and a HR of 1.41 (95% CI 1.13-1.77; p = 0.0025) for the Gensini score. The SYNTAX score alone had a C-index of 0.62, whereas adding clinical variables increased the C-index to 0.67. Similar results were obtained for the Gensini score. Regarding the SYNTAX score using net reclassification index, discrimination of events and non-events was enhanced by 37.2% in a model of clinical variables and biomarkers and by 31.8% for the Gensini score. CONCLUSION: The SYNTAX and Gensini score in combination with clinical variables could be used to predict the cardiovascular prognosis during a long-term follow-up of up to 8 years in CAD patients.