Search results for "competing risk"

showing 9 items of 19 documents

Liver and cardiovascular mortality after hepatitis C virus eradication by DAA: Data from RESIST-HCV cohort

2021

Real-world evidence on the course of Hepatitis C Virus (HCV) chronic liver disease after Sustained Virologic Response (SVR) obtained with direct-acting antiviral drugs (DAAs) are still limited, and the effects on mortality remain unclear. We evaluated the post-treatment survival of 4307 patients in the RESIST-HCV cohort (mean age 66.3 ± 11.6 years, 56.9% males, 24.7% chronic hepatitis, 66.9% Child-Pugh A cirrhosis and 8.4% Child-Pugh B cirrhosis) treated with DAAs between March 2015 and December 2016 and followed for a median of 73 weeks (range 16–152). Proportional cause-specific hazard regression for competing risks was used to evaluate the survival and to assess the predictors of liver a…

Malemedicine.medical_specialtyCirrhosisHepatitis C virusChronic Hepatitis; Cirrhosis; Competing risks; Survival.Hepacivirusmedicine.disease_causeChronic liver diseasecompeting riskAntiviral AgentsGastroenterologysurvivalchronic hepatitiVirologyDiabetes mellitusInternal medicinemedicineHumanschronic hepatitis cirrhosis competing risks survivalAgedcompeting risksHepatologybusiness.industrycirrhosisHazard ratioAlbuminOriginal ArticlesHepatitis C ChronicMiddle Agedmedicine.diseaseHepatitis Cdigestive system diseasesInfectious DiseasesCardiovascular DiseasesCohortOriginal ArticleFemalechronic hepatitisbusinessKidney diseasecirrhosi
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Risk factors of de novo malignancies after liver transplantation: a French national study on 11004 adult patients.

2021

International audience; Background: After liver transplantation (LT),de novo malignancies are one of the leading causes of late mortality. The aim of the present retrospective study was to identify the risk factors of de novo malignancies in a large cohort of LT recipients in France, using Fine and Gray competing risks regression analysis.Methods: The study population consisted in 11004 adults transplanted between 2000 and 2013, who had no history of pre-transplant malignancy, except primary liver tumor. A Cox model adapted to the identification of prognostic factors (competitive risks) was used.Results: From the entire cohort, one (or more)de novo malignancy was reported in 1480 L T recipi…

OncologyAdultMalemedicine.medical_specialtyMESH: Liver TransplantationLiver tumormedicine.medical_treatmentLiver transplantationMalignancyPrimary sclerosing cholangitis03 medical and health sciencesLiver disease0302 clinical medicineMESH: Liver NeoplasmsMESH: Risk FactorsRisk FactorsInternal medicinemedicineHumansMESH: IncidenceLung cancerRetrospective StudiesMESH: HumansHepatologybusiness.industryIncidenceLiver NeoplasmsGastroenterologyRetrospective cohort studyMESH: AdultMESH: Retrospective Studies[SDV.MHEP.HEG]Life Sciences [q-bio]/Human health and pathology/Hépatology and GastroenterologyCompeting riskmedicine.disease[SDV.MHEP.HEG] Life Sciences [q-bio]/Human health and pathology/Hépatology and GastroenterologyMESH: MaleLiver Transplantation030220 oncology & carcinogenesisPopulation study030211 gastroenterology & hepatologybusinessLiver transplantationde novomalignanciesClinics and research in hepatology and gastroenterology
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Predicting survival in node-positive prostate cancer after open, laparoscopic or robotic radical prostatectomy: A competing risk analysis of a multi-…

2016

Objectives: To investigate cancer-specific mortality and other-cause mortality in prostate cancer patients with nodal metastases. Methods: The study included 411 patients treated with radical prostatectomy and pelvic lymph node dissection for prostate cancer with lymph node metastases at 10 tertiary care centers between 1995 and 2014. Kaplan–Meier analyses were used to assess cancer-specific mortality-free survival rates at 8 years' follow up in the overall population, and after stratifying patients according to clinical and pathological parameters. Uni- and multivariable competing risk Cox regression analyses were used to assess cancer-specific mortality and other-cause mortality. Finally,…

OncologyMalemedicine.medical_treatment030232 urology & nephrologyProstate cancer0302 clinical medicineRobotic Surgical ProceduresLymph nodeeducation.field_of_studyProstatectomyMortality rateLymph NodePrognosiscancer-specific mortality competing risk analysis lymph node metastases other-cause mortality radical prostatectomylymph node metastaseDissectionmedicine.anatomical_structure030220 oncology & carcinogenesisLymphatic MetastasisLymphSurvival Analysicancer-specific mortality; competing risk analysis; lymph node metastases; other-cause mortality; radical prostatectomycancer-specific mortality; competing risk analysis; lymph node metastases; other-cause mortality; radical prostatectomy; Urologyother-cause mortalityHumanlymph node metastasesRiskmedicine.medical_specialtyRobotic Surgical ProcedurePrognosiUrologyPopulationUrologycancer-specific mortality03 medical and health sciencesInternal medicinemedicineHumanseducationcompeting risk analysiProstatectomybusiness.industryProportional hazards modelcompeting risk analysisProstatic NeoplasmsLymphatic MetastasiProstate-Specific Antigenmedicine.diseaseSurvival Analysisradical prostatectomyProstatic NeoplasmLymph Node ExcisionLaparoscopyLymph Nodesbusiness
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Mortality in early-stage, surgically resected non-small cell lung cancer less than 3cm of size: Competing risk analysis

2015

Abstract Background and objective Survival studies of non-small cell lung cancer (NSCLC) are usually based on the Kaplan–Meier method. However, other factors not covered by this method may modify the observation of the event of interest. There are models of cumulative incidence (CI), that take into account these competing risks, enabling more accurate survival estimates and evaluation of the risk of death from other causes. We aimed to evaluate these models in resected early-stage NSCLC patients. Patients and method This study included 263 patients with resected NSCLC whose diameter was ≤3 cm without node involvement (N0). Demographic, clinical, morphopathological and surgical variables, TN…

Oncologymedicine.medical_specialtyUnivariate analysisMultivariate analysisbusiness.industryCancerCompeting risksmedicine.diseaseSurgeryInternal medicinemedicineCumulative incidenceNon small cellStage (cooking)businessLung cancerMedicina Clínica (English Edition)
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Advances in survival analysis: applications and extensions of the "standard" competing risks model

2023

Overcrowding in Emergency DepartmentSettore SECS-S/05 - Statistica SocialeBiostatisticsCompeting risksSurvival AnalysisCovid-19 In-hospital mortalitySettore MED/01 - Statistica Medica
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Bayesian joint modeling of bivariate longitudinal and competing risks data: An application to study patient-ventilator asynchronies in critical care …

2017

Mechanical ventilation is a common procedure of life support in intensive care. Patient-ventilator asynchronies (PVAs) occur when the timing of the ventilator cycle is not simultaneous with the timing of the patient respiratory cycle. The association between severity markers and the events death or alive discharge has been acknowledged before, however, little is known about the addition of PVAs data to the analyses. We used an index of asynchronies (AI) to measure PVAs and the SOFA (sequential organ failure assessment) score to assess overall severity. To investigate the added value of including the AI, we propose a Bayesian joint model of bivariate longitudinal and competing risks data. Th…

RiskStatistics and ProbabilityMixed modelmedicine.medical_specialtyBiometryCritical Caremedicine.medical_treatmentBayesian probabilityBivariate analysisCompeting risks01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineIntensive careStatisticsmedicineHumansLongitudinal Studies0101 mathematicsMechanical ventilationModels Statisticalbusiness.industryRespirationBayes TheoremGeneral MedicineRespiration Artificial030228 respiratory systemLife supportEmergency medicineSOFA scoreStatistics Probability and UncertaintybusinessBiometrical Journal
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Elastīgais parametriskais modelis izdzīvošanas datiem ar konkurējošiem riskiem

2015

Konkurējošie riski ir izplatīta parādība izdzīvošanas analīzē. Tie rodas, kad subjekts atrodas vairāku savstarpēji izslēdzošu notikumu riska zonā. Populārākā metode, pētot šāda veida datus, ir Deivida Koksa semi-parametriskā modeļa izmantošana. Darbā ir aplūkots alternatīvais variants izdzīvošanas datiem ar konkurējošiem riskiem – elastīgais parametriskais modelis, kas sniedz gludus novērtējumus galvenajiem raksturlielumiem – konkrēto cēloņu riskam un kumulatīvo biežumu funkcijai. Turklāt, izmantojot šo modeli, ir viegli iekļaut no laika atkarīgus ietekmējošos mainīgos. Darbā tiek aprakstīta konkurējošo risku elastīgā parametriskā modeļa būtība, un metode ir salīdzināta ar Koksa modeli. Ir …

flexible parametric modelkonkurējošie riskielastīgais parametriskais modelisMatemātikakumulatīvo biežumu funkcijacompeting risks
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Repeated kidney re-transplantation—the Eurotransplant experience: a retrospective multicenter outcome analysis

2020

Transplant international (2020). doi:10.1111/tri.13569

re-transplantationOutcome analysis030230 surgeryKidneyALLOCATION0302 clinical medicine3RDfourthKidney transplantationKidneychildGraft SurvivalConfoundinglossSUCCESSrepeatedGRAFT LOSSCOMPETING RISKSTissue Donorsddc:Treatment Outcomesurgical procedures operativemedicine.anatomical_structure030211 gastroenterology & hepatologyOutcome dataLife Sciences & Biomedicinemedicine.medical_specialtykidneyTissue and Organ ProcurementRe transplantation610survival1ST03 medical and health sciencesmedicineHumansddc:6102NDRetrospective StudiesDeceased donorTransplantationScience & Technologybusiness.industrymedicine.diseaseKidney TransplantationSurgeryTransplantationRECIPIENTSgraftSurgeryHuman medicinebusinessthirdSINGLE-CENTER
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From South to North? Mobility of Southern Italian Students at the Transition from the First to the Second Level University Degree

2018

In the last decades, the Italian University System has encountered several structural reforms aimed at making it more internationally competitive. Among them, the introduction of the University financial autonomy has triggered an “internal” competition among Universities to attract students from the entire country. Students’ enrollment at the first level has decreased significantly especially after the economic crisis of 2008, while the students’ migration from the South to the Central and Northern regions of the country has increased. These phenomena have created further inequalities within the country and a cultural and socio-economic loss for the South that does not appear to slow down. …

time to eventInequalitymedia_common.quotation_subjectTransition (fiction)Financial autonomyDegree (music)Competition (economics)GeographyWork (electrical)Order (exchange)discrete-time competing risk modelMathematics educationstudents’ mobilityDemographic economicsSettore SECS-S/05 - Statistica Socialestudents’ mobility time to event discrete-time competing risk modelUniversity systemmedia_common
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