Prevalence of smoking and postoperative outcomes in people undergoing coronary artery bypass grafting: a UK registry analysis

IF 7.5 1区 医学 Q1 ANESTHESIOLOGY
Anaesthesia Pub Date : 2025-01-07 DOI:10.1111/anae.16525
Emma Sewart, Alexander Isted, Kitty H. F. Wong, Gudrun Kunst, Ronelle Mouton
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This study investigated the prevalence of smoking in people undergoing CABG surgery in the UK and the impact of smoking on postoperative outcomes. This will help with risk assessment of such patients, as well as resource allocation and strategic planning for addressing smoking-related issues in surgical contexts.</p>\n<p>Permission was obtained for the National Institute for Cardiovascular Outcomes Research (NICOR) to release depersonalised patient data from the National Adult Cardiac Surgery Audit (NACSA) under an agreement between NHS England/GIG Cymru and King's College Hospital NHS Foundation Trust. The full process of data submission and processing by NICOR is described elsewhere [<span>6</span>]. All adults undergoing elective CABG between January 2012 and December 2022 were included. Other elective procedures were included only if performed in addition to CABG. Patients were not included if they underwent non-elective surgery, had no documented smoking status or had chosen not to have their data used for research. This study involved analysis of existing non-identifiable patient data and was, therefore, exempt from NHS ethics committee approval.</p>\n<p>The primary outcome was prevalence of current smoking (one or more cigarettes per day); former smoking (not smoked within the last month); and non-smoking (never smoked) at the time of surgery. The secondary outcomes were trends in smoking prevalence over time; in-hospital mortality; postoperative duration of hospital stay; and complications. Smoking status was reported by year of operation and trends in smoking prevalence over time were assessed using multivariable logistic regression, adjusted for age, sex and procedure type. The incidence of postoperative complications and duration of hospital stay were compared between smoking status groups using multivariable logistic regression and Cox proportional hazards regression, respectively, adjusted for surgical risk using the European System for Cardiac Operative Risk Evaluation 2 (EuroSCORE 2) [<span>7</span>]. Statistical analysis was performed using R version 4.2.1 (R Studio, Vienna, Austria) with a two-sided significance level set at p &lt; 0.05. Multiple imputation was performed using the multivariate imputation by chained equations package (version 4.2.3) to account for missing data with &lt; 50% of missing values. Sensitivity analysis was done using complete case analysis.</p>\n<p>A total of 96,071 patients were included in the analysis. Of these, 8237 (8.6%) were current smokers, 52,074 (54.2%) former smokers and 35,760 (37.2%) non-smokers. Patient characteristics and procedural details by smoking status are detailed in online Supporting Information Table S1. The prevalence of smoking remained stable at 8.6% through the study period (Fig. 1). However, the adjusted odds of smoking were marginally lower with each advancing year (OR 0.99, 95%CI 0.98–1.00, p = 0.03). The proportion of ex-smokers fell over this period from 56.3% to 49.0% (OR 0.97, 95%CI 0.97–0.98, p &lt; 0.01), while the proportion of non-smokers increased from 35.0% to 42.4% (OR 1.03, 95%CI 1.03–1.04, p &lt; 0.01). Smokers had higher odds of developing deep sternal wound infections and were more likely to need surgical debridement than non-smokers (Table 1). No significant differences were observed in the odds of in-hospital mortality, returning to the operating theatre, developing a new neurological deficit or renal replacement therapy postoperatively between smokers and non-smokers. The mean duration of hospital stay was slightly shorter for smokers than for non-smokers (hazard ratio 0.94, 95%CI 0.92–0.97), but no significant differences were observed in outcomes. Complete case analysis result estimates (online Supporting Information Table S2) were almost identical to those of the analysis using imputed data.</p>\n<figure><picture>\n<source media=\"(min-width: 1650px)\" srcset=\"/cms/asset/eae26f75-6632-4fe6-ab46-4aa6c06a2b09/anae16525-fig-0001-m.jpg\"/><img alt=\"Details are in the caption following the image\" data-lg-src=\"/cms/asset/eae26f75-6632-4fe6-ab46-4aa6c06a2b09/anae16525-fig-0001-m.jpg\" loading=\"lazy\" src=\"/cms/asset/838eab51-8be7-4912-bdb2-c506a63771fa/anae16525-fig-0001-m.png\" title=\"Details are in the caption following the image\"/></picture><figcaption>\n<div><strong>Figure 1<span style=\"font-weight:normal\"></span></strong><div>Open in figure viewer<i aria-hidden=\"true\"></i><span>PowerPoint</span></div>\n</div>\n<div>Proportion of non-smokers (blue), ex-smokers (purple) and smokers (red) undergoing elective coronary artery bypass grafting per year in the UK from 2012 to 2022.</div>\n</figcaption>\n</figure>\n<div>\n<header><span>Table 1. </span>Results of adjusted regression models comparing postoperative outcomes using imputed datasets.</header>\n<div tabindex=\"0\">\n<table>\n<thead>\n<tr>\n<td rowspan=\"3\"></td>\n<th colspan=\"2\">Smokers vs. non-smokers</th>\n<th colspan=\"2\">Smokers vs. former smokers</th>\n</tr>\n<tr>\n<th colspan=\"2\" style=\"top: 65px;\">n = 43,997</th>\n<th colspan=\"2\" style=\"top: 65px;\">n = 60,311</th>\n</tr>\n<tr>\n<th style=\"top: 106px;\">OR (95%CI)</th>\n<th style=\"top: 106px;\">p value</th>\n<th style=\"top: 106px;\">OR (95%CI)</th>\n<th style=\"top: 106px;\">p value</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>In-hospital mortality</td>\n<td>0.97 (0.78–120)</td>\n<td>0.76</td>\n<td>0.87 (0.71–1.07)</td>\n<td>0.19</td>\n</tr>\n<tr>\n<td>Return to operating theatre</td>\n<td>0.99 (0.87–1.13)</td>\n<td>0.93</td>\n<td>1.00 (0.88–1.14)</td>\n<td>0.96</td>\n</tr>\n<tr>\n<td colspan=\"5\">Deep sternal wound infection</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Any</td>\n<td>1.42 (1.08–1.86)</td>\n<td>0.01</td>\n<td>1.13 (0.87–1.47)</td>\n<td>0.35</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Requiring surgical debridement</td>\n<td>1.86 (1.26–2.77)</td>\n<td>&lt; 0.01</td>\n<td>1.25 (0.88–1.77)</td>\n<td>0.22</td>\n</tr>\n<tr>\n<td>New postoperative neurological dysfunction</td>\n<td>1.10 (0.89–1.35)</td>\n<td>0.39</td>\n<td>1.09 (0.88–1.34)</td>\n<td>0.43</td>\n</tr>\n<tr>\n<td>New postoperative haemofiltration or dialysis</td>\n<td>0.92 (0.76–1.11)</td>\n<td>0.36</td>\n<td>0.86 (0.71–1.03)</td>\n<td>0.11</td>\n</tr>\n</tbody>\n</table>\n</div>\n<div></div>\n</div>\n<p>The main limitations of this study were self-reported smoking status and lack of granularity in the recorded smoking histories, with no stratification for number of cigarettes smoked or timing of cessation. Several important lifestyle risk factors and outcomes of interest, such as long-term mortality and pulmonary complications, were not available from the NACSA. Finally, some adults undergoing elective CABG in the UK may not be included in the NACSA, but this capture rate is not known.</p>\n<p>In this nationwide cohort study, smoking was less prevalent among people undergoing CABG surgery than in the UK general population and other surgical cohorts within the study period. Future work should explore the patterns in smoking behaviour among people referred for cardiac surgery and the factors which support successful quitting in this cohort. 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引用次数: 0

Abstract

Tobacco smoking is the leading behavioural risk factor for cardiovascular disease and may double the risk of long-term mortality after coronary artery bypass grafting (CABG) [1, 2]. Smoking cessation interventions, which combine pharmacological treatment and behavioural support, are effective at supporting abstinence at the time of surgery and at 12 months postoperatively [3]. However, smoking remains more prevalent among those patients undergoing surgery (25%) than in the general UK population (13%) [4, 5]. There is limited contemporary evidence about the burden of smoking in cardiac surgery. This study investigated the prevalence of smoking in people undergoing CABG surgery in the UK and the impact of smoking on postoperative outcomes. This will help with risk assessment of such patients, as well as resource allocation and strategic planning for addressing smoking-related issues in surgical contexts.

Permission was obtained for the National Institute for Cardiovascular Outcomes Research (NICOR) to release depersonalised patient data from the National Adult Cardiac Surgery Audit (NACSA) under an agreement between NHS England/GIG Cymru and King's College Hospital NHS Foundation Trust. The full process of data submission and processing by NICOR is described elsewhere [6]. All adults undergoing elective CABG between January 2012 and December 2022 were included. Other elective procedures were included only if performed in addition to CABG. Patients were not included if they underwent non-elective surgery, had no documented smoking status or had chosen not to have their data used for research. This study involved analysis of existing non-identifiable patient data and was, therefore, exempt from NHS ethics committee approval.

The primary outcome was prevalence of current smoking (one or more cigarettes per day); former smoking (not smoked within the last month); and non-smoking (never smoked) at the time of surgery. The secondary outcomes were trends in smoking prevalence over time; in-hospital mortality; postoperative duration of hospital stay; and complications. Smoking status was reported by year of operation and trends in smoking prevalence over time were assessed using multivariable logistic regression, adjusted for age, sex and procedure type. The incidence of postoperative complications and duration of hospital stay were compared between smoking status groups using multivariable logistic regression and Cox proportional hazards regression, respectively, adjusted for surgical risk using the European System for Cardiac Operative Risk Evaluation 2 (EuroSCORE 2) [7]. Statistical analysis was performed using R version 4.2.1 (R Studio, Vienna, Austria) with a two-sided significance level set at p < 0.05. Multiple imputation was performed using the multivariate imputation by chained equations package (version 4.2.3) to account for missing data with < 50% of missing values. Sensitivity analysis was done using complete case analysis.

A total of 96,071 patients were included in the analysis. Of these, 8237 (8.6%) were current smokers, 52,074 (54.2%) former smokers and 35,760 (37.2%) non-smokers. Patient characteristics and procedural details by smoking status are detailed in online Supporting Information Table S1. The prevalence of smoking remained stable at 8.6% through the study period (Fig. 1). However, the adjusted odds of smoking were marginally lower with each advancing year (OR 0.99, 95%CI 0.98–1.00, p = 0.03). The proportion of ex-smokers fell over this period from 56.3% to 49.0% (OR 0.97, 95%CI 0.97–0.98, p < 0.01), while the proportion of non-smokers increased from 35.0% to 42.4% (OR 1.03, 95%CI 1.03–1.04, p < 0.01). Smokers had higher odds of developing deep sternal wound infections and were more likely to need surgical debridement than non-smokers (Table 1). No significant differences were observed in the odds of in-hospital mortality, returning to the operating theatre, developing a new neurological deficit or renal replacement therapy postoperatively between smokers and non-smokers. The mean duration of hospital stay was slightly shorter for smokers than for non-smokers (hazard ratio 0.94, 95%CI 0.92–0.97), but no significant differences were observed in outcomes. Complete case analysis result estimates (online Supporting Information Table S2) were almost identical to those of the analysis using imputed data.

Abstract Image
Figure 1
Open in figure viewerPowerPoint
Proportion of non-smokers (blue), ex-smokers (purple) and smokers (red) undergoing elective coronary artery bypass grafting per year in the UK from 2012 to 2022.
Table 1. Results of adjusted regression models comparing postoperative outcomes using imputed datasets.
Smokers vs. non-smokers Smokers vs. former smokers
n = 43,997 n = 60,311
OR (95%CI) p value OR (95%CI) p value
In-hospital mortality 0.97 (0.78–120) 0.76 0.87 (0.71–1.07) 0.19
Return to operating theatre 0.99 (0.87–1.13) 0.93 1.00 (0.88–1.14) 0.96
Deep sternal wound infection
Any 1.42 (1.08–1.86) 0.01 1.13 (0.87–1.47) 0.35
Requiring surgical debridement 1.86 (1.26–2.77) < 0.01 1.25 (0.88–1.77) 0.22
New postoperative neurological dysfunction 1.10 (0.89–1.35) 0.39 1.09 (0.88–1.34) 0.43
New postoperative haemofiltration or dialysis 0.92 (0.76–1.11) 0.36 0.86 (0.71–1.03) 0.11

The main limitations of this study were self-reported smoking status and lack of granularity in the recorded smoking histories, with no stratification for number of cigarettes smoked or timing of cessation. Several important lifestyle risk factors and outcomes of interest, such as long-term mortality and pulmonary complications, were not available from the NACSA. Finally, some adults undergoing elective CABG in the UK may not be included in the NACSA, but this capture rate is not known.

In this nationwide cohort study, smoking was less prevalent among people undergoing CABG surgery than in the UK general population and other surgical cohorts within the study period. Future work should explore the patterns in smoking behaviour among people referred for cardiac surgery and the factors which support successful quitting in this cohort. Sharing learning with other surgical specialities may improve smoking cessation support within other peri-operative pathways and allow replication of this rare success story.

冠状动脉搭桥术患者的吸烟流行率和术后结果:一项英国登记分析
吸烟是心血管疾病的主要行为危险因素,可能使冠状动脉旁路移植术(CABG)后长期死亡的风险增加一倍[1,2]。戒烟干预措施,结合药物治疗和行为支持,在手术时和术后12个月的戒烟中是有效的。然而,吸烟在接受手术的患者中(25%)比在英国总人口中(13%)更为普遍[4,5]。关于心脏手术中吸烟负担的当代证据有限。本研究调查了英国接受冠状动脉搭桥手术患者的吸烟率以及吸烟对术后结果的影响。这将有助于对此类患者进行风险评估,以及在外科环境中解决吸烟相关问题的资源分配和战略规划。根据NHS英格兰/GIG Cymru和国王学院医院NHS基金会信托基金的协议,国家心血管结局研究所(NICOR)获得许可,可以发布国家成人心脏手术审计(NACSA)的非个性化患者数据。NICOR提交和处理数据的完整过程见其他地方[6]。所有在2012年1月至2022年12月期间接受选择性冠脉搭桥手术的成年人都包括在内。其他选择性手术仅包括在CABG之外进行的手术。如果患者接受了非选择性手术,没有吸烟记录或选择不将其数据用于研究,则不包括在内。本研究涉及对现有的无法识别的患者数据的分析,因此免除了NHS伦理委员会的批准。主要结局是当前吸烟的流行程度(每天一支或多支烟);曾经吸烟(最近一个月内没有吸烟);手术时不吸烟(从不吸烟)。次要结果是吸烟流行率随时间的变化趋势;住院死亡率;术后住院时间;和并发症。按手术年份报告吸烟状况,并使用多变量逻辑回归评估吸烟流行率随时间的趋势,并根据年龄、性别和手术类型进行调整。分别采用多变量logistic回归和Cox比例风险回归比较吸烟组术后并发症发生率和住院时间,并采用欧洲心脏手术风险评估系统2 (EuroSCORE 2)[7]进行手术风险调整。采用R 4.2.1版本(R Studio, Vienna, Austria)进行统计学分析,双侧显著性水平设置为p &lt; 0.05。使用链式方程包(4.2.3版本)的多变量代入进行多重代入,以占缺失值的50%来解释缺失数据。采用完整病例分析方法进行敏感性分析。共有96071例患者被纳入分析。其中,8237人(8.6%)为当前吸烟者,52074人(54.2%)为前吸烟者,35760人(37.2%)为非吸烟者。吸烟状况的患者特征和手术细节详见在线辅助信息表S1。在整个研究期间,吸烟的患病率保持在8.6%的稳定水平(图1)。然而,随着时间的推移,调整后的吸烟几率略有降低(OR 0.99, 95%CI 0.98-1.00, p = 0.03)。在此期间,戒烟者的比例从56.3%下降到49.0% (OR 0.97, 95%CI 0.97 - 0.98, p &lt; 0.01),而不吸烟者的比例从35.0%上升到42.4% (OR 1.03, 95%CI 1.03 - 1.04, p &lt; 0.01)。与不吸烟者相比,吸烟者发生胸骨深部伤口感染的几率更高,更有可能需要手术清创(表1)。吸烟者和不吸烟者在住院死亡率、返回手术室、术后出现新的神经功能缺损或肾脏替代治疗的几率方面没有观察到显著差异。吸烟者的平均住院时间略短于非吸烟者(风险比0.94,95%CI 0.92-0.97),但在结局方面没有观察到显著差异。完整的病例分析结果估计(在线支持信息表S2)几乎与使用输入数据的分析结果相同。2012年至2022年,英国每年接受选择性冠状动脉搭桥术的非吸烟者(蓝色)、戒烟者(紫色)和吸烟者(红色)的比例。表1。使用输入数据集比较术后结果的调整回归模型的结果。吸烟者与非吸烟者吸烟者与前吸烟者sn = 43,9997 n = 60,311OR (95%CI)p值or (95%CI)p值院内死亡率0.97(0.78-120)0.760.87(0.71-1.07)0.19返回手术室0.99(0.87-1.13)0.931.00(0.88-1.14)0.96胸骨深创面感染any1.42 (1.08-1.86)0.011.13 (0.97 - 1.98)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Anaesthesia
Anaesthesia 医学-麻醉学
CiteScore
21.20
自引率
9.30%
发文量
300
审稿时长
6 months
期刊介绍: The official journal of the Association of Anaesthetists is Anaesthesia. It is a comprehensive international publication that covers a wide range of topics. The journal focuses on general and regional anaesthesia, as well as intensive care and pain therapy. It includes original articles that have undergone peer review, covering all aspects of these fields, including research on equipment.
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