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[Development of a multivariable predictive model for postoperative nausea and vomiting after cancer surgery in adults]. / Desenvolvimento de um modelo preditivo multivariado para náusea e vômito no pós­operatório de cirurgia oncológica em adultos.
Yamada, Léia Alessandra Pinto; Guimarães, Gabriel Magalhães Nunes; Silva, Magda Aparecida Santos; Sousa, Angela Maria; Ashmawi, Hazem Adel.
Afiliação
  • Yamada LAP; Universidade de São Paulo, Faculdade de Medicina, São Paulo, SP, Brasil.
  • Guimarães GMN; Universidade de Brasília, Faculdade de Medicina, Brasília, DF, Brasil. Electronic address: gabrielmng@gmail.com.
  • Silva MAS; Universidade Paulista, São Paulo, SP, Brasil.
  • Sousa AM; Instituto do Câncer do Estado de São Paulo, Centro Integrado de Tratamento da Dor, São Paulo, SP, Brasil.
  • Ashmawi HA; Universidade de São Paulo, Faculdade de Medicina, Disciplina de Anestesiologia, São Paulo, SP, Brasil.
Braz J Anesthesiol ; 69(4): 342-349, 2019.
Article em Pt | MEDLINE | ID: mdl-31378385
BACKGROUND AND OBJECTIVES: Predicting postoperative nausea and vomiting risk is the cornerstone for deciding prophylaxis. Apfel's score does not define how long a person must be abstinent from smoking to be considered a non-smoker, and the use of intraoperative spinal opioids as a risk factor for predicting postoperative nausea and vomiting is also not addressed. The aim of this study was to quantify predicting postoperative nausea and vomiting risk by an ordinal smoking status and the use of intraoperative opioids (systemic or neuraxial), and to develop a new predictive model. METHODS: Patients scheduled for cancer surgery were prospectively evaluated for predicting postoperative nausea and vomiting in the first 24h after surgery. RESULTS: Of 2014 initially included patients, 185 participants were excluded. Smoking status classification was associated with predicting postoperative nausea and vomiting incidence rates of 14.1%, 18.1%, 24.7%, 29.4% and 33.9% for smokers, patients who stopped smoking up to 1 month prior to surgery, one to 6 months prior, more than 6 months prior or patients who never smoked, respectively, which was significant in the multiple comparisons analysis (adjusted p=0.015). The multiple comparisons-adjusted hypothesis tests for association with predicting postoperative nausea and vomiting for sex, age, previous predicting postoperative nausea and vomiting, chemotherapy-induced nausea, and ordinal smoking status had p-values of <0.001. The type of surgery (p=0.04), total fentanyl consumption (p=0.04), both intraoperative and postoperative, were significant predictors. A new model was developed and showed higher discriminative power than Apfel's score (AUC 67.9% vs. 63.7%, p<0.001). CONCLUSION: Smoking status showed a significant and linear impact on predicting postoperative nausea and vomiting incidence, and we developed a new model that uses unambiguous smoking and opioid predictors.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Náusea e Vômito Pós-Operatórios / Analgésicos Opioides / Modelos Teóricos / Neoplasias Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: Pt Revista: Braz J Anesthesiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Náusea e Vômito Pós-Operatórios / Analgésicos Opioides / Modelos Teóricos / Neoplasias Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: Pt Revista: Braz J Anesthesiol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Brasil