37 research outputs found

    sj-docx-1-whe-10.1177_17455065221075903 – Supplemental material for Ovarian cancer surgery in Germany: An analysis of the nationwide hospital file 2005–2015

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    Supplemental material, sj-docx-1-whe-10.1177_17455065221075903 for Ovarian cancer surgery in Germany: An analysis of the nationwide hospital file 2005–2015 by Pietro Trocchi, Pawel Mach, Karl Rainer Kimmig and Andreas Stang in Women’s Health</p

    Table_1_Hospitalization and Morbidity Rates After Pediatric Traumatic Brain Injury: A Nation-Wide Population-Based Analysis.docx

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    Background: Even though traumatic brain injury (TBI) is a major cause of morbidity and mortality in children around the globe, population-based and nation-wide data to assess the burden of TBI is scarce.Methods:Based on diagnosis related groups from nation-wide hospital data, we extracted data on all TBI-related hospitalizations in children Results:Out of 10.2 million hospitalizations, we identified 458,844 cases with TBI as primary or secondary diagnosis, resulting in a crude incidence rate of 687/100,000 child years (CY). Age-specific rates of computed tomography were below 30/100,000 CY until the age of 10 years and increased to 162/100,000 CY until 17 years of age. Intracranial injury was diagnosed in 2.7%, neurosurgery was performed in 0.7% of patients, and 0.7% were mechanically ventilated. Mortality was 0.67/100,000 CY (0.1%).Conclusions:Despite substantial hospitalization rates for pediatric TBI in Germany, the rates of imaging, the need for mechanical ventilation, neurosurgery and mortality were overall very low. Reasons for hospitalization and measures to reduce unnecessary admissions warrant further investigation.</p

    Table_2_Hospitalization and Morbidity Rates After Pediatric Traumatic Brain Injury: A Nation-Wide Population-Based Analysis.docx

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    Background: Even though traumatic brain injury (TBI) is a major cause of morbidity and mortality in children around the globe, population-based and nation-wide data to assess the burden of TBI is scarce.Methods:Based on diagnosis related groups from nation-wide hospital data, we extracted data on all TBI-related hospitalizations in children Results:Out of 10.2 million hospitalizations, we identified 458,844 cases with TBI as primary or secondary diagnosis, resulting in a crude incidence rate of 687/100,000 child years (CY). Age-specific rates of computed tomography were below 30/100,000 CY until the age of 10 years and increased to 162/100,000 CY until 17 years of age. Intracranial injury was diagnosed in 2.7%, neurosurgery was performed in 0.7% of patients, and 0.7% were mechanically ventilated. Mortality was 0.67/100,000 CY (0.1%).Conclusions:Despite substantial hospitalization rates for pediatric TBI in Germany, the rates of imaging, the need for mechanical ventilation, neurosurgery and mortality were overall very low. Reasons for hospitalization and measures to reduce unnecessary admissions warrant further investigation.</p

    Fig 3 -

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    a. Precision-weighted monthly incidence rates of testicular cancer in Germany, 2009–2019, stratified by age categories: 15–39 years. b. Precision-weighted monthly incidence rates of testicular cancer in Germany, 2009–2019, stratified by age categories: 40–69 years. Horizontal line indicates the mean rate across months 1–12; shadowed areas denote 95% confidence intervals.</p

    Additional file 1 of External validation of six clinical models for prediction of chronic kidney disease in a German population

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    Additional file 1: S1. Equations for eGFR estimation used in the analyses. S2. Equation of prediction models externally validated. S3a. Calibration plots for validated prediction models for CKD in the German Heinz-Nixdorf-Recall study (N=4,185). S3b. Calibration plots for validated prediction models for CKD in the German Heinz-Nixdorf-Recall study (N=4,185) – after re-calibration of the intercept. Table S4. Performance indicators for selected CKD risk models; CKD defined as eGFR <60ml/min/1.73m² calculated with FAS and MDRD equation. Tab. S5. Diagnostic criteria for prediction models for various threshold for CKD defined by MDRD and FAS equations (sensitivity, specificity and predictive values and the respective proportions of expected to observed cases and 95%-confidence intervals)
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