A Procedure and Complication-Specific Assessment of Smoking in Aesthetic Surgery: A Systematic Review and Meta-Analysis.
Gabriel BouhadanaHassan ElHawaryPeter AlamMirko S GilardinoPublished in: Plastic surgery (Oakville, Ont.) (2022)
Background: The popularity of aesthetic surgery is on the rise, as is patients' expectations towards excellent surgical results. In order to meet these expectations, risk factors that hinder desired outcomes, such as smoking, need to be identified and addressed. To that end, the present study summarizes an updated systematic review focused on the effects of smoking on cosmetic surgical procedures and outcomes. Methods: A systematic review of studies comparing aesthetic surgical outcomes by procedure, between tobacco smokers and non-smokers was carried out, querying PubMed, Embase and the Cochrane databases. Data regarding surgical outcomes were extracted and meta-analyzed by a random effects model in conjunction with the Mantel-Haenszel statistical method. Results: Eighty-two studies were included in the final synthesis. Abdominoplasty/panniculectomy (n = 19 cohorts) and breast reduction (n = 27 cohorts) were the most common types of procedures included in this review. Other than mastopexy and rhinoplasty, smoking conferred a statistically significant increased risk of overall complications for all studied aesthetic procedures. Conclusions: The data demonstrates that smoking is a clear risk factor for the vast majority of aesthetic plastic surgeries studied. Although our meta-analysis suggests that smoking is not a risk factor for complications in mastopexies and rhinoplasties, these two specific analyses may have been biased, and should therefore be re-evaluated with future additional evidence. The results of this systematic review confirm the importance of smoking cessation and education relative to the outcomes of common cosmetic surgical procedures.
Keyphrases
- smoking cessation
- systematic review
- replacement therapy
- meta analyses
- risk factors
- minimally invasive
- patient satisfaction
- breast reconstruction
- end stage renal disease
- big data
- case control
- newly diagnosed
- electronic health record
- chronic kidney disease
- coronary artery bypass
- ejection fraction
- adipose tissue
- type diabetes
- metabolic syndrome
- prognostic factors
- skeletal muscle
- percutaneous coronary intervention
- acute coronary syndrome
- atrial fibrillation
- deep learning
- artificial intelligence
- solid state