0000000000967976

AUTHOR

Pierre-emmanuel Falcoz

0000-0002-5915-5512

showing 2 related works from this author

Validation and update of the thoracic surgery scoring system (Thoracoscore) risk model.

2020

Abstract OBJECTIVES The performance of prediction models tends to deteriorate over time. The purpose of this study was to update the Thoracoscore risk prediction model with recent data from the Epithor nationwide thoracic surgery database. METHODS From January 2016 to December 2017, a total of 56 279 patients were operated on for mediastinal, pleural, chest wall or lung disease. We used 3 recommended methods to update the Thoracoscore prediction model and then proceeded to develop a new risk model. Thirty-day hospital mortality included patients who died within the first 30 days of the operation and those who died later during the same hospital stay. RESULTS We compared the baseline patient…

Pulmonary and Respiratory MedicineLung Diseasesmedicine.medical_specialtyCalibration (statistics)030204 cardiovascular system & hematologyOverfittingRisk Assessment03 medical and health sciencesRisk model0302 clinical medicineGoodness of fitRisk FactorsmedicineThoracoscopyHumansHospital MortalityAgedPerformance statusmedicine.diagnostic_testbusiness.industryThoracic SurgeryGeneral MedicineThoracic Surgical Procedures030228 respiratory systemROC CurveCardiothoracic surgeryEmergency medicineSurgeryCardiology and Cardiovascular MedicinebusinessPredictive modellingEuropean journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
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Comparison of Epithor clinical national database and medico-administrative database to identify the influence of case-mix on the estimation of hospit…

2019

BackgroundThe national Epithor database was initiated in 2003 in France. Fifteen years on, a quality assessment of the recorded data seemed necessary. This study examines the completeness of the data recorded in Epithor through a comparison with the French PMSI database, which is the national medico-administrative reference database. The aim of this study was to demonstrate the influence of data quality with respect to identifying 30-day mortality hospital outliers.MethodsWe used each hospital's individual FINESS code to compare the number of pulmonary resections and deaths recorded in Epithor to the figures found in the PMSI. Centers were classified into either the good-quality data (GQD) …

MaleDatabases FactualOutliers DRGPulmonologyCancer Treatment030204 cardiovascular system & hematologyLogistic regressionHealth administration0302 clinical medicineHospital AdministrationInterquartile rangeMedicine and Health SciencesMedicineHospital MortalityRespiratory System ProceduresMultidisciplinaryMortality rateQRRegression analysisHospitals3. Good healthSurgical OncologyOncologyMedicineFemaleRisk AdjustmentLung ResectionResearch ArticleClinical OncologyDeath RatesScienceSurgical and Invasive Medical Procedures03 medical and health sciencesCase mix indexPopulation MetricsHumansDiagnosis-Related GroupsPopulation BiologySurgical Resectionbusiness.industryBiology and Life SciencesModels TheoreticalHealth CareStandardized mortality ratioLogistic ModelsDyspnea030228 respiratory systemHealth Care Facilities[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieData quality[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieClinical MedicinebusinessDemography
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