1 resultado para Stochastic SIS logistic model
em Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal
Filtro por publicador
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (6)
- Aquatic Commons (7)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (3)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (8)
- Aston University Research Archive (22)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (29)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (19)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (19)
- Boston University Digital Common (3)
- Brock University, Canada (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (9)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (12)
- CentAUR: Central Archive University of Reading - UK (52)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (21)
- Cochin University of Science & Technology (CUSAT), India (9)
- Collection Of Biostatistics Research Archive (5)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (6)
- Deakin Research Online - Australia (39)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Commons - Michigan Tech (3)
- Digital Commons at Florida International University (9)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (21)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (6)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (4)
- FUNDAJ - Fundação Joaquim Nabuco (2)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (7)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (50)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico do Porto, Portugal (3)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (6)
- Nottingham eTheses (5)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (30)
- Queensland University of Technology - ePrints Archive (262)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (3)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (11)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (79)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (6)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (2)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (6)
- Universidad Politécnica de Madrid (29)
- Universidade Complutense de Madrid (8)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (4)
- Université de Montréal (1)
- Université de Montréal, Canada (13)
- Université Laval Mémoires et thèses électroniques (1)
- University of Connecticut - USA (3)
- University of Michigan (2)
- University of Queensland eSpace - Australia (19)
- University of Washington (3)
- WestminsterResearch - UK (1)
Resumo:
Objectives: To characterize the epidemiology and risk factors for acute kidney injury (AKI) after pediatric cardiac surgery in our center, to determine its association with poor short-term outcomes, and to develop a logistic regression model that will predict the risk of AKI for the study population. Methods: This single-center, retrospective study included consecutive pediatric patients with congenital heart disease who underwent cardiac surgery between January 2010 and December 2012. Exclusion criteria were a history of renal disease, dialysis or renal transplantation. Results: Of the 325 patients included, median age three years (1 day---18 years), AKI occurred in 40 (12.3%) on the first postoperative day. Overall mortality was 13 (4%), nine of whom were in the AKI group. AKI was significantly associated with length of intensive care unit stay, length of mechanical ventilation and in-hospital death (p<0.01). Patients’ age and postoperative serum creatinine, blood urea nitrogen and lactate levels were included in the logistic regression model as predictor variables. The model accurately predicted AKI in this population, with a maximum combined sensitivity of 82.1% and specificity of 75.4%. Conclusions: AKI is common and is associated with poor short-term outcomes in this setting. Younger age and higher postoperative serum creatinine, blood urea nitrogen and lactate levels were powerful predictors of renal injury in this population. The proposed model could be a useful tool for risk stratification of these patients.