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Authors
Hoel, Andrew W.Nolan, Brian W.
Goodney, Philip P.
Zhao, Yuanyuan
Schanzer, Andres
Stanley, Andrew C.
Eldrup-Jorgensen, Jens
Cronenwett, Jack L.
Vascular Study Group of New England
UMass Chan Affiliations
Department of SurgeryDocument Type
Journal ArticlePublication Date
2013-05-01Keywords
AgedAngioplasty
Aortic Aneurysm, Abdominal
Blood Vessel Prosthesis Implantation
Carotid Artery Diseases
Chi-Square Distribution
Endarterectomy, Carotid
Female
Humans
Male
Middle Aged
Multivariate Analysis
New England
Odds Ratio
Peripheral Vascular Diseases
*Physician's Practice Patterns
Postoperative Care
Prevalence
Registries
Risk Factors
*Risk Reduction Behavior
Smoking
*Smoking Cessation
Stents
Time Factors
Treatment Outcome
Vascular Diseases
*Vascular Surgical Procedures
Surgery
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Show full item recordAbstract
OBJECTIVE: Smoking is the most important modifiable risk factor for patients with vascular disease. The purpose of this study was to examine smoking cessation rates after vascular procedures and delineate factors predictive of postoperative smoking cessation. METHODS: The Vascular Study Group of New England registry was used to analyze smoking status preoperatively and at 1 year after carotid endarterectomy, carotid artery stenting, lower extremity bypass, and open and endovascular abdominal aortic aneurysm repair between 2003 and 2009. Of 10,734 surviving patients after one of these procedures, 1755 (16%) were lost to follow-up and 1172 (11%) lacked documentation of their smoking status at follow-up. The remaining 7807 patients (73%) were available for analysis. Patient factors independently associated with smoking cessation were determined using multivariate analysis. The relative contribution of patient and procedure factors including treatment center were measured by chi-pie analysis. Variation between treatment centers was further evaluated by calculating expected rates of cessation and by analysis of means. Vascular Study Group of New England surgeons were surveyed regarding their smoking cessation techniques (85% response rate). RESULTS: At the time of their procedure, 2606 of 7807 patients (33%) were self-reported current smokers. Of these, 1177 (45%) quit within the first year of surgery, with significant variation by procedure type (open abdominal aortic aneurysm repair, 50%; endovascular repair, 49%; lower extremity bypass, 46%; carotid endarterectomy, 43%; carotid artery stenting, 27%). In addition to higher smoking cessation rates with more invasive procedures, age >70 years (odds ratio [OR], 1.90; 95% confidence interval [CI], 1.30-2.76; P < .001) and dialysis dependence (OR, 2.38; 95% CI, 1.04-5.43; P = .04) were independently associated with smoking cessation, whereas hypertension (OR, 1.23; 95% CI, 1.00-1.51; P = .051) demonstrated a trend toward significance. Treatment center was the greatest contributor to smoking cessation, and there was broad variation in smoking cessation rates, from 28% to 62%, between treatment centers. Cessation rates were higher than expected in three centers and significantly lower than expected in two centers. Among survey respondents, 78% offered pharmacologic therapy or referral to a smoking cessation specialist, or both. The smoking cessation rate for patients of these surgeons was 48% compared with 33% in those who did not offer medications or referral (P < .001). CONCLUSIONS: Patients frequently quit smoking after vascular surgery, and multiple patient-related and procedure-related factors contribute to cessation. However, we note significant influence of treatment center on cessation as well as broad variation in cessation rates between treatment centers. This variation indicates an opportunity for vascular surgeons to impact smoking cessation at the time of surgery. rights reserved.Source
Hoel AW, Nolan BW, Goodney PP, Zhao Y, Schanzer A, Stanley AC, Eldrup-Jorgensen J, Cronenwett JL; Vascular Study Group of New England. Variation in smoking cessation after vascular operations. J Vasc Surg. 2013 May;57(5):1338-44; quiz 1344.e1-4. doi:10.1016/j.jvs.2012.10.130. Link to article on publisher's site
DOI
10.1016/j.jvs.2012.10.130Permanent Link to this Item
http://hdl.handle.net/20.500.14038/49710PubMed ID
23375433Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1016/j.jvs.2012.10.130
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Factors associated with amputation or graft occlusion one year after lower extremity bypass in northern New EnglandGoodney, Philip P.; Nolan, Brian W.; Schanzer, Andres; Eldrup-Jorgensen, Jens; Bertges, Daniel J.; Stanley, Andrew C.; Stone, David H.; Walsh, Daniel B.; Powell, Richard J.; Likosky, Donald S.; et al. (2010-01-15)BACKGROUND: Optimal patient selection for lower extremity bypass surgery requires surgeons to predict which patients will have durable functional outcomes following revascularization. Therefore, we examined risk factors that predict amputation or graft occlusion within the first year following lower extremity bypass. METHODS: Using our regional quality-improvement initiative in 11 hospitals in northern New England, we studied 2,306 lower extremity bypass procedures performed in 2,031 patients between January 2003 and December 2007. Sixty surgeons contributed to our database, and over 100 demographic and clinical variables were abstracted by trained researchers. Cox proportional hazards models were used to generate hazard ratios and surrounding 95% confidence intervals (CIs) for our combined outcome measure of major amputation (above-knee or below-knee) or permanent graft occlusion (loss of secondary patency) occurring within the first year postoperatively. RESULTS: We found that within our cohort of 2,306 bypass procedures 17% resulted in an amputation or graft occlusion within 1 year of surgery. Of the 143 amputations performed (8% of all limbs undergoing bypasses), 17% occurred in the setting of a patent graft. Similarly, of the 277 graft occlusions (12% of all bypasses), 42% resulted in a major amputation. We identified eight preoperative patient characteristics associated with amputation or graft occlusion in multivariate analysis: age <50, nonambulatory status preoperatively, dialysis dependence, diabetes, critical limb ischemia, need for venovenostomy, tarsal target, and living preoperatively in a nursing home. While patients with no risk factors had 1-year amputation/occlusion rates that were <1%, patients with three or more risk factors had a nearly 30% chance of suffering amputation or graft occlusion by 1 year postoperatively. When we compared risk-adjusted rates of amputation/occlusion across centers, we found that one center in our region performed significantly better than expected (observed/expected ratio 0.7, 95% CI 0.6-0.9, p < 0.04). CONCLUSION: Preoperative risk factors allow surgeons to predict the risk of amputation or graft occlusion following lower extremity bypass and to more precisely inform patients about their operative risk and functional outcomes. Additionally, our model facilitates comparison of risk-adjusted outcomes across our region. We believe quality-improvement measures such as these will allow surgeons to identify best practices and thereby improve outcomes across centers. All rights reserved.
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