V
Valentín Mazo
Researcher at Autonomous University of Barcelona
Publications - 11
Citations - 1560
Valentín Mazo is an academic researcher from Autonomous University of Barcelona. The author has contributed to research in topics: Prospective cohort study & Cohort study. The author has an hindex of 7, co-authored 11 publications receiving 1157 citations.
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Journal ArticleDOI
Prediction of Postoperative Pulmonary Complications in a Population-based Surgical Cohort
Jaume Canet,Lluis Gallart,Carmen Gomar,Guillem Paluzie,Jordi Vallés,Jordi Castillo,Sergi Sabaté,Valentín Mazo,Zahara Briones,Joaquín Sanchis +9 more
TL;DR: The risk index based on seven objective, easily assessed factors has excellent discriminative ability and can be used to assess individual risk of PPC and focus further research on measures to improve patient care.
Journal ArticleDOI
Prospective External Validation of a Predictive Score for Postoperative Pulmonary Complications
Valentín Mazo,Sergi Sabaté,Jaume Canet,Lluis Gallart,Marcelo Gama de Abreu,Javier Belda,Olivier Langeron,Andreas Hoeft,Paolo Pelosi +8 more
TL;DR: The Assess Respiratory Risk in Surgical Patients in Catalonia score predicts three levels of PPC risk in hospitals outside the development setting, and performance differs between geographic areas.
Journal ArticleDOI
Development and validation of a score to predict postoperative respiratory failure in a multicentre European cohort: A prospective, observational study.
Jaume Canet,Sergi Sabaté,Valentín Mazo,Lluis Gallart,Marcelo Gama de Abreu,Javier Belda,Olivier Langeron,Andreas Hoeft,Paolo Pelosi +8 more
TL;DR: A risk score based on seven objective, easily assessed factors was able to predict which patients would develop PRF and could potentially facilitate preoperative risk assessment and management and provide a basis for testing interventions to improve outcomes.
Journal ArticleDOI
Predicting postoperative pulmonary complications: implications for outcomes and costs.
TL;DR: Reliable PPC risk-stratification tools are essential for guiding clinical decision-making in the perioperative period and it would be useful to focus resources on determining whether low-cost preemptive interventions improve outcomes satisfactorily or new strategies need to be developed.