Determinants of Aortic Prosthesis Mismatch in a Brazilian Public Health System Hospital: Big Patients or Small Prosthesis?
Maria Estefania OttoFernando Antibas AtikMarcelo do Nascimento MoreiraLuiz Carlos Madruga RibeiroBianca Corrêa Rocha de MelloJoyce Gomes Elias LimaMaiara Sanchez RibeiroAna Carolina Pereira Matos DominguesReyna Pinheiro CalzadaArmindo JreigeLarissa Lucas SchloickaPhilippe PibarotPublished in: Arquivos brasileiros de cardiologia (2020)
The frequency of severe PPM is high in a Brazilian population representative of the Public Health System, and it is possible to predict PPM from preoperative variables such as rheumatic valvular disease, gender, BMI, age and LVOTD.
Keyphrases
- public health
- end stage renal disease
- healthcare
- ejection fraction
- aortic valve
- chronic kidney disease
- newly diagnosed
- rheumatoid arthritis
- body mass index
- atrial fibrillation
- peritoneal dialysis
- prognostic factors
- patients undergoing
- left ventricular
- early onset
- heart failure
- emergency department
- adverse drug
- cross sectional
- patient reported outcomes
- pulmonary artery
- machine learning
- pulmonary hypertension
- electronic health record
- weight gain