Introduction

Bladder cancer poses a significant public health challenge, contributing significantly to global mortality and morbidity. Bladder cancer is the 10th most prevalent cancer globally, with 573,278 new cases and over 200,000 deaths in 20201.

The primary cause of bladder cancer incidence is smoking, with a substantial proportion of patients who undergo radical cystectomy (RC) being current or former smokers2. The complex composition of tobacco smoke, comprising over 60 carcinogens linked to at least 18 types of cancer, makes smoking the second leading risk factor for mortality3. Cigarette smoking has been established as the most significant risk factor, increasing the risk of bladder cancer by up to fivefold4.

Preoperative smoking history correlates with a high tumor stage and grade in patients with newly diagnosed urothelial carcinoma of the bladder, affecting both smoking status and quantity3. This influence extends to non-muscle invasive bladder cancer (NMIBC), affecting disease recurrence and progression5,6.

Although the correlation between smoking and bladder cancer incidence is well-established, its impact on cancer recurrence following RC in patients with muscle-invasive bladder cancer (MIBC) has been highlighted3. RC, a complex surgical procedure with a complication rate of 30–64%7, presents post-RC patients who smoke with an increased risk of perioperative complications and the need for re-operative surgery8,9. However, the direct association between preoperative smoking history and survival outcomes and complications in patients with MIBC undergoing robot-assisted radical cystectomy (RARC) remains insufficiently explored.

The Korean Robot-Assisted Radical Cystectomy Study Group (KORARC) database, a multicenter repository formed by several institutions, has been instrumental in the development of various bladder cancer-related research outcomes10,11,12,13. The database comprehensively documents detailed preoperative smoking history, including pack-years.

In this study, we hypothesized that preoperative smoking may impact survival and contribute to wound or infection complications in RARC patients. Consequently, we aimed to investigate the influence of preoperative smoking history on survival outcomes and complications in a cohort derived from a large multicenter database.

Patients and methods

Data acquisition & analysis

A retrospective analysis was conducted using data from 749 patients enrolled in the Korean Robot-Assisted Radical Cystectomy Study Group (KORARC) database. RARC was performed at 11 tertiary referral centers (21 surgeons) in the Republic of Korea between April 2007 and November 2019. The primary data source was the Korean Society of Endourology and Robotics. The cohort with an average follow-up of 30.8 months, was divided into two groups: 351 smokers and 398 non-smokers. Smokers included both current smokers (those who were actively smoking up to the time of RARC) and ex-smokers with a preoperative smoking history, while non-smokers were defined as individuals who have never smoked.

Propensity score matching was used to address significant differences in sample size and baseline demographics between the two groups. Comparative analyses included demographics, preoperative treatment, intraoperative outcomes, oncological outcomes, and complications (n = 274, each). The study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of Korea University Anam Hospital (approval number: 2019AN0102). Written informed consent was obtained from all participants.

Statistical analysis

Demographic and clinical characteristics were presented as median and interquartile ranges (IQRs) for continuous data and as numbers and percentages for categorical data. Each patient in the preoperative smoking group was matched with a propensity score, using the nearest-neighbor method, to one individual in the preoperative non-smoking group. A logistic regression model was used for the propensity score model, including age, sex, height, weight, body mass index (BMI), American Society of Anesthesiologists (ASA) score, history of preoperative abdominal surgery, history of complications (cardiac, pulmonary, and renal), history of medical conditions (hypertension, diabetes mellitus, hyperlipidemia, and benign prostate hyperplasia), and family history of bladder cancer. Standard mean differences (SMDs) were used to assess the covariate balance between the preoperative smoking and non-smoking groups following propensity score matching. The distribution of confounders was balanced between the two groups when the SMDs were < 10%. Crude incidence rates per 1000 person-years were calculated for overall survival (OS) and recurrence-free survival (RFS). Kaplan–Meier estimates were used for OS and RFS, stratified by preoperative smoking status.

Using propensity score-matched data, hazard ratios (HRs) and 95% confidence intervals (CIs) for each outcome were estimated using Cox proportional hazard regression models, and robust standard errors were used to determine the correlation between matching pairs. Moreover, logistic regression and multinomial logistic regression models were used to estimate the odds ratios (ORs) and 95% CIs for the incidence, types, and dates of complications using the matched data.

Subgroup analyses were performed according to age (< 65 and ≥ 65 years). We assessed the effect of pack-years of smoking as continuous and categorical variables (≤ 10, 10–30, and ≥ 30 pack-years of smoking) and on OS and RFS in preoperative smokers using Cox regression models after adjusting for the year of operation, age, sex, height, weight, BMI, ASA, history of preoperative abdominal surgery, history of complications (cardiac, pulmonary, renal), history of medical conditions (hypertension, diabetes mellitus, hyperlipidemia, and benign prostate hyperplasia), and family history of bladder cancer.

We also accessed that achieving pentafecta, composed of negative soft tissue surgical margin, removal of ≥ 16 lymph nodes, no major complications (Clavien–Dindo grade 3–5) within 90 days, no clinical recurrence within the first 12 months, and no ureteroenteric stricture, from previous studies10, impacts patients' OS and PFS. We investigated whether there was a difference in pentafecta achievement between the smoker and non-smoker groups.

Statistical significance was set at a p > 0.05 with two-sided tests. All statistical analyses were performed using R version 4.3.1 (The R Foundation for Statistical Computing, Vienna, Austria).

Results

The baseline characteristics based on smoking history before and after propensity score matching are presented in Table 1. Before matching, statistically significant differences were found in age, sex, BMI, history of preoperative abdominal surgery, history of benign prostate hyperplasia and diversion type. Before propensity matching, a higher proportion of neobladder was observed in the smoker group (55.3% vs 48.7%, p = 0.029), which may be attributed to the likelihood of a younger patients being included in the smoker group (65 vs 67, p = 0.011). However, after matching, these variables were successfully corrected.

Table 1 Baseline characteristics by smoking history before and after propensity score matching.

Postoperative complications were thoroughly assessed to determine whether preoperative smoking history influenced complication rates (Table 2). Preoperative smoking did not significantly increase the occurrence of complications based on complication type (p = 0.322), nor did it increase the readmission rate (p = 0.076). Additionally, upon examining the Clavien-Dindo grade, smoking did not increase severe complications of grade 3 or higher (49 vs 59, p = 0.173). There were no perioperative death in either group.

Table 2 Type and Clavien-Dindo grade of complications after matching.

In logistic and multinomial logistic regression analysis, we presented whether preoperative smoking increases the risk of complications, particularly infection and wound complications in Table 3. Smoking did not significantly affect overall complication rates (p = 0.121). When categorized by type, a preoperative smoking history did not influence infection, wound complications, or other complications (p > 0.05).

Table 3 Logistic and multinomial logistic regression analyses for the effect of preoperative smoking on complications, the types of complications, and the occurrence of complications by dates.

Furthermore, an investigation was conducted to ascertain whether postoperative complications were influenced by smoking status and age (Supplementary Table 3). Comparing patients who were < 65 years with those who were ≥ 65 years, we found that, excluding infection and wound complications, the rate of other complications within 30 days was lower in the < 65 years group (OR = 0.49, 0.28–0.85; p = 0.012). Regardless of age, a preoperative smoking history did not have a significant impact on complications within 30 days, 30–90 days, or beyond 90 days (p > 0.05).

We also exploring the impact of the extent of preoperative smoking (≤ 10, 10–30, ≥ 30 pack-years) on OS and RFS revealed that smoking had no significant influence on any of the categories (Table 4, p > 0.05). Whether there is a difference in pentafecta achievement between the two groups is described in Table 5. There was no statistically significant difference in pentafecta achievement based on preoperative smoking status and the five-component of pentafecta (p = 0.122).

Table 4 Hazard ratios from Cox models for the effects of pack-years of smoking on overall survival and recurrence-free survival.
Table 5 Pentafecta achievement after matching.

The incidence rates per 1000 person-years and HRs from the Cox models for each outcome comparing the smoker and non-smoker groups are shown in Supplementary Table 1. After matching, preoperative smoking history did not significantly impact OS (HR = 0.87, IQR: 0.54–1.42; p = 0.589) and RFS (HR = 1.12, IQR: 0.83–1.53; p = 0.458) after RARC for MIBC. A detailed Kaplan–Meier curve is shown in Fig. 1.

Figure 1
figure 1

Kaplan–Meier curves. Kaplan–Meier curves for overall and recurrence-free survival according to smoking status.

To investigate whether age influences survival due to preoperative smoking history, a survival comparison was conducted by categorizing patients into groups based on age, namely < 65 years and ≥ 65 years (Supplementary Table 2). Regardless of age group, preoperative smoking history did not affect OS or RFS (all p > 0.05).

Discussion

In our study, preoperative smoking history before RARC did not affect patient survival or postoperative complications. This contradicts previous findings that smoking influences RC outcomes. However, further research is warranted to interpret these results due to the large-volume multicenter database and propensity score matching employed in our investigation.

We conducted various subgroup analyses, comparing survival, smoking frequency, age, and early and late postoperative complications. However, no significant differences were observed between the two groups. Given the higher likelihood of postoperative complications in patients who undergo radical cystectomy than in those who undergo other surgeries, multidisciplinary discussions are essential, and postoperative care must be comprehensive to effectively manage risk factors such as smoking status1,14,15.

Approximately half of bladder cancer cases are attributed to tobacco smoking16. For patients undergoing RARC, physicians should strongly recommend smoking cessation. While unable to reflect postoperative smoking status, our study affirms that preoperative smoking history does not affect OS and RFS in patients with RARC. These results suggest that smoking cessation after surgery may potentially have a more significant impact on survival.

RARC is associated with reduced incisions and lower blood loss compared with open RC, possibly resulting in fewer postoperative complications. Additionally, the feasibility of RARC has been reported in T4 cases and is not limited to T3 or below17. Therefore, preoperative factors, such as smoking, may be less likely to have an impact on RARC different from that on open RC. Previous studies have reported an increased Clavien III-V complication rate in current smokers following RC (13.1% vs. 7.4%)9. Our study, focusing on patients undergoing RARC, specifically investigated the influence of preoperative smoking history and found distinctions. Furthermore, the lower incidence of complications seen in our study may be attributable to age, as the average age in our study was 65 years, whereas it was 69 years in the previous study. Particularly, smoking status has been reported to influence complications in older patients aged ≥ 70 years18. However, in our study, focusing on RARC patients ≥ 65 years, no statistically significant differences were found.

In the STOP-OP randomized controlled trial, a preoperative 6-week intensive smoking and/or alcohol cessation intervention was conducted to assess its impact on postoperative complications following RC. However, the intervention did not influence postoperative complications following radical cystectomy7. A previous meta-analysis suggested that smoking status is associated with an increased risk of major postoperative complications, infections, and mortality after RC; however, most of the data were from patients who underwent open RC19. A previous study reported a controversial relationship between smoking and RC, where current smoking status had a selection effect, and no adverse bladder cancer-related outcomes were present among current smokers after RC20.

Pelvic radiotherapy can also have a significant impact on post-radical cystectomy complications. In our study, although there was no difference in the rate of radiation therapy between the two groups (4.0% vs 2.9%, p = 0.641), a study involving 682 patients investigating the influence of radiation therapy reported that 75.1% of patients with pelvic radiotherapy experienced complications after radical cystectomy. Furthermore, urinary tract infection (19%) was reported to be the most common complication, emphasizing the need for careful post-operative management in such patients21.

Venous thromboembolism (VTE) is another rare but significant complication associated with radical cystectomy that can increase perioperative mortality. Upon examining our data, we found three cases of VTE events, with two cases classified as Clavien grade 2 and one case as grade 3. In a large-scale study on VTE following radical cystectomy, a VTE incidence rate of 4% was reported, with 24% resulting in fatalities, and the median time to VTE occurrence was reported to be 11 days post-surgery22.

Our study had several limitations. First, the study was retrospective in nature. Smoking status was only assessed preoperatively; information regarding postoperative smoking cessation was not investigated. Therefore, the results of this study should be interpreted from the perspective of preoperative smoking status. Second, the database lacked details regarding he time at which ex-smokers ceased smoking; it only provided the total quantity smoked. Consequently, differentiating between individuals who had quit smoking 10 years prior and those who had quit a month ago was not feasible. Third, due to the limited number of current smokers in this study, we were unable to analyze current smokers and ex-smokers separately. Fourth, we investigated only the presence of medical diseases as categorical data and did not collect data on laboratory parameters such as renal and hepatic function. Concurrent comorbidities associated with this may also potentially influence complication rates.

Nonetheless, the significance of these data lies in assessing the impact of preoperative smoking history within a more uniform patient population, focusing solely on the outcomes of patients undergoing RARC.

Conclusion

In conclusion, the preoperative smoking history of patients with MIBC did not exhibit any significant impacts on OS, RFS, or complications in patients who underwent RARC.