Clinical and genetic factors associated with post‐operative nausea and vomiting after propofol anaesthesia

Author:

Ahlström Sirkku E.1ORCID,Bergman Paula H.2ORCID,Jokela Ritva M.3,Olkkola Klaus T.14ORCID,Kaunisto Mari A.5ORCID,Kalso Eija A.167ORCID

Affiliation:

1. Department of Anaesthesiology, Intensive Care and Pain Medicine University of Helsinki and HUS Helsinki University Hospital Helsinki Finland

2. Biostatistics Consulting, Department of Public Health University of Helsinki and HUS Helsinki University Hospital Helsinki Finland

3. HUS Joint Resources University of Helsinki and HUS Helsinki University Hospital Helsinki Finland

4. INDIVIDRUG Research Programme, Faculty of Medicine University of Helsinki Helsinki Finland

5. Institute for Molecular Medicine Finland (FIMM) Helsinki Institute of Life Science, University of Helsinki Helsinki Finland

6. Department of Pharmacology, Faculty of Medicine University of Helsinki Helsinki Finland

7. SleepWell Research Programme, Faculty of Medicine University of Helsinki Helsinki Finland

Abstract

AbstractBackgroundThe incidence of post‐operative nausea and vomiting (PONV) remains at about 30% despite all therapeutic efforts to reduce it. The clinical risk factors guiding the prophylactic treatment are well established, but genetic factors associated with PONV remain poorly known. The aim of this study was to explore clinical and genetic factors impacting PONV by performing a genome‐wide association study (GWAS) together with relevant clinical factors as covariates, and systematically attempt to replicate previously reported PONV associations. Relevant clinical factors are explored with logistic regression model.MethodsThis was an observational case control study in Helsinki University Hospital between 1 August 2006 and 31 December 2010. One thousand consenting women with elevated risk for PONV, undergoing breast cancer surgery with standardised propofol anaesthesia and antiemetics. After exclusions for clinical reasons and failed genotyping, 815 patients were included with 187 PONV cases and 628 controls. Emergence of PONV up to 7th post‐operative day was recorded. PONV at 2–24 h after surgery was selected to be the primary outcome. The GWAS explored associations between PONV and 653 034 genetic variants. Replication attempts included 31 variants in 16 genes.ResultsThe overall incidence of PONV up to 7th post‐operative day was 35%, where 3% had PONV at 0–2 h and 23% at 2–24 h after surgery. Age, American Society of Anaesthesiologists status, the amount of oxycodone used in the post‐anaesthesia care unit, smoking status, previous PONV, and history of motion sickness were statistically significant predictive factors in the logistic model. The receiver operating characteristic‐area under the curve of 0.75 (95% CI 0.71–0.79) was calculated for the model. The GWAS identified six variants with suggestive association to PONV (p < 1 × 10−5). Of the previously reported variants, association with the DRD2 variant rs18004972 (TaqIA) was replicated (p = .028).ConclusionsOur GWAS approach did not identify any high‐impact PONV susceptibility variants. The results provide some support for a role of dopamine D2 receptors in PONV.

Funder

Academy of Finland

Helsingin ja Uudenmaan Sairaanhoitopiiri

Suomen Anestesiologiyhdistys

Publisher

Wiley

Subject

Anesthesiology and Pain Medicine,General Medicine

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