Abstract
Introduction
Smoking and chronic obstructive pulmonary disease (COPD) are associated with an increased risk of post-operative pulmonary complications (PPCs) following lung cancer resection. It remains unclear whether smoking cessation reduces this risk.
Methods
Retrospective review of a large, prospectively collected database of over 1000 consecutive resections for lung cancer in a quaternary lung cancer centre over a 23-year period.
Results
One thousand and thirteen patients underwent curative-intent lobectomy or pneumonectomy between 1995 and 2018. Three hundred and sixty-two patients (36%) were ex-smokers, 314 (31%) were current smokers and 111 (11%) were never smokers. A pre-operative diagnosis of COPD was present in 57% of current smokers, 57% of ex-smokers and 20% of never smokers. Just over 25% of patients experienced a PPC. PPCs were more frequent in current smokers compared to never smokers (27% vs 17%, p = 0.036), however, no difference was seen between current and ex-smokers (p = 0.412) or between never and ex-smokers (p = 0.113). Those with a diagnosis of COPD, independent of smoking status, had a higher frequency of both PPCs (65% vs 35%, p<0.01) and overall complications (60% vs 40%, p<0.01) as well as a longer length of hospital stay (10 vs 9 days, p<0.01).
Conclusion
Smoking and COPD are both associated with a higher rate of PPCs post lung cancer resection. COPD, independent of smoking status, is also associated with an increased overall post-operative complication rate and length of hospital stay. An emphasis on COPD treatment optimisation, rather than smoking cessation in isolation, may help improve post-operative outcomes.
Introduction
Lung cancer is the leading cause of cancer mortality worldwide [1]. In Australia, lung cancer is responsible for close to a fifth of cancer-related deaths, with a five-year survival rate of 17% [2]. Smoking remains the most significant modifiable risk factor in lung cancer development. Despite advances in tobacco control, data from the Australian Bureau of Statistics reveal that 13.8% of Australian adults still smoke daily [3]. In early stage non-small cell lung cancer (NSCLC), surgery remains the primary treatment modality in those who are operative candidates. The vast majority of patients who undergo lung cancer resection have smoked in the past, and many are active smokers at the time of surgery [4–6]. Several studies show that smokers, whether current or reformed, have higher rates of post-operative pulmonary complications (PPCs) after lung cancer resection than never smokers [6–8]. A fifth of all patients who undergo major surgery and experience a PPC die within 30 days of the operation compared to 0.2–3% of those who do not [9]. Additionally, developing a PPC is associated with higher rates of intensive care unit (ICU) admission and longer durations of hospital stay [10, 11].
Chronic obstructive pulmonary disease (COPD) coexists in 50–70% of patients with lung cancer [12] and is an independent risk factor for the development of lung cancer, over and above smoking [13, 14]. Smokers with COPD are twice as likely to develop lung cancer as smokers without COPD [15]. Several studies have shown that the presence of COPD is associated with a higher frequency of PPCs [16–19].
Despite the established link between smoking, COPD and PPCs after lung cancer resection, it is unclear whether reformed smokers have higher complication rates compared with those who continue to smoke [7, 20]. Furthermore, there is uncertainty regarding the optimal timing of smoking cessation prior to surgery, with potential benefits weighed against the risk of disease progression if operative management is delayed. Attitudes of thoracic surgeons are inconsistent, with no consensus on standard practice for pre-operative smoking cessation. A survey of US thoracic surgeons demonstrated that most (60%) do not require a patient to cease smoking prior to surgery, with those who do mandate cessation divided on the recommended duration of the smoking abstinence period [21]. Most US surgeons do not routinely refer to smoking cessation programs or prescribe nicotine replacement therapy prior to surgery [21]. although nicotine dependence treatment is known to be highly effective in effecting short-term cessation amongst cancer patients [22, 23].
Although international studies have examined smoking status, COPD and PPCs in patients undergoing lung cancer resection [7, 16, 24], there have been no studies to date in an Australian population, and few studies of the size and breadth of ours. In a large cohort of patients undergoing lung cancer resection in an Australian quaternary centre, our study aimed to examine the relationship between PPCs and (i) pre-operative smoking status, and (ii) pre-operative COPD diagnosis.
Methods
A retrospective review was undertaken of a prospectively maintained database of consecutive operations performed for lung cancer resection. Data included demographic information, pre-operative lung function and post-operative complications. Approval was granted by the institutional Health Research Ethics Committee.
Population
All patients who underwent lobectomy or pneumonectomy for lung cancer between 1995 and 2018 were included. Patients who had undergone segmentectomy or wedge resection were excluded, as were those with benign tumours. Surgery was performed by a dedicated thoracic surgical team, with post-operative care taking place on the thoracic surgical ward or in the intensive care unit if invasive monitoring or additional organ support were required.
Pre-operative smoking status was categorised in three groups: current smokers, defined as those who had smoked tobacco within 12 months leading up to surgery; ex-smokers, defined as those who had ceased smoking more than 12 months before surgery; and never smokers. Our ex-smoker definition is based on the low smoking relapse rate after 12 months of smoking cessation [25]. Smoking data were obtained from self-report and collected by healthcare workers including respiratory physicians, thoracic surgeons, and respiratory scientists.
Data collection
Data extracted included baseline demographics, (age, sex, body mass index), type of operation performed, smoking exposure expressed in pack years, years since smoking cessation, pre-operative lung function (spirometry and carbon monoxide transfer factor (TLCO)), histological diagnosis, cancer stage (based on the International Association for the Study of Lung Cancer (IASLC) 7th edition of Tumour Node Metastasis Classification of Malignant Tumors) [26], neoadjuvant treatment, post-operative length of stay, and complication rates.
The presence of COPD was determined on pre-bronchodilator spirometry, using a FEV1/FVC ratio of <0.7. Pre-bronchodilator, rather than post bronchodilator, measurements were used as approximately one quarter of the study population did not have post bronchodilator spirometry performed. COPD severity was defined using the Global Initiative for Obstructive Lung Disease (GOLD) criteria [27].
We compared pulmonary complications, overall complications, and length of stay between current smokers, ex-smokers and never smokers. We also compared pulmonary complications in those with and without a diagnosis of COPD. Pulmonary complications included: atelectasis, sputum retention, pneumonia, acute respiratory distress syndrome (ARDS), respiratory failure, air leak and empyema. Overall complications included: pulmonary complications, arrythmias, myocardial infarction, thromboembolic disease, stroke, transient ischaemic attack, renal failure, urinary tract infection, gastrointestinal bleed, ileus, wound infection / dehiscence and 30-day mortality (S1 Appendix).
Statistical analysis
Statistical analysis was performed using SPSS v.25. Descriptive analyses were used to describe the study variables. Means and standard deviations were calculated for continuous variables, while proportions were used to describe categorical variables. For inferential analyses, chi-squared tests were used to compare smoking status and COPD status with other study variables including post-operative complications. Binary logistic regression was used to assess the strength of association, which yielded odds ratios (OR) and 95% confidence intervals (CI). Then multivariate logistic regression was used to adjust potential confounding variables (age, gender and BMI), which yielded adjusted OR (AOR) and 95% CI. Statistical significance was set at p<0.05.
Results
Baseline characteristics
Patient characteristics are shown in Table 1. A total of 1013 patients underwent curative-intent lobectomy or pneumonectomy. The mean age was 66 years (SD 12), with a male predominance (61%) and a mean BMI of 27 kg/m2 (SD 5).
Table 1. Patient characteristics.
Variables | Never smokers, n(%) | Current smokers, n(%) | p1 | Ex-smokers, n(%) | p2 | p3 | |
---|---|---|---|---|---|---|---|
Total participantsa | 111 | 314 | 362 | ||||
Age (years), Mean (±SD) | 62.5 (16.9) | 63.5 (10.3) | 0.497 | 69.1 (9.5) | 0.000 | 0.000 | |
Male | 30 (27.0) | 205 (65.3) | 0.000 | 254 (70.2) | 0.000 | 0.175 | |
BMI (kg/m2), Mean (±SD) | 27.0 (5.1) | 26.0 (5.3) | 0.085 | 27.5 (4.5) | 0.356 | 0.000 | |
BMI categories | 84 | 243 | 269 | ||||
Underweight (<18.5) | 3 (3.6) | 17 (7.0) | 0.259 | 3 (1.1) | 0.128 | 0.001 | |
Healthy weight (18.5–24.9) | 34 (40.5) | 134 (55.1) | 0.020 | 98 (36.4) | 0.504 | 0.000 | |
Overweight (25.0–29.9) | 47 (56.0) | 92 (37.9) | 0.004 | 168 (62.5) | 0.286 | 0.000 | |
Primary operationb | 111 | 314 | 362 | ||||
Lobectomy | 105 (94.6) | 281 (89.5) | 0.109 | 318 (87.8) | 0.043 | 0.502 | |
Pneumonectomy | 6 (5.4) | 33 (10.5) | 0.109 | 44 (12.2) | 0.043 | 0.502 | |
FEV1 (%), Mean (±SD) | 94.3 (20.0) | 81.2 (17.9) | 0.000 | 83.8 (19.6) | 0.000 | 0.082 | |
FVC (%), Mean (±SD) | 97.8 (18.1) | 94.5 (15.6) | 0.072 | 95.9 (17.0) | 0.318 | 0.278 | |
FEV1/FVC, Mean (±SD) | 0.75 (0.1) | 0.67 (0.1) | 0.000 | 0.67 (0.1) | 0.000 | 0.841 | |
TLCO (%), Mean (±SD) | 83.1 (16.4) | 69.8 (16.6) | 0.000 | 72.7 (18.3) | 0.000 | 0.034 | |
Pack-years, Mean (±SD)c | 48.6 (24.7) | 39.2 (25.5) | 0.000 | ||||
COPD present | 22 (19.8) | 180 (57.3) | 0.000 | 205 (56.6) | 0.000 | 0.856 | |
Mild | 11 (50.0) | 65 (36.1) | 0.204 | 81 (39.7) | 0.341 | 0.469 | |
Moderate | 11 (50.0) | 105 (58.3) | 0.456 | 110 (53.9) | 0.744 | 0.385 | |
Severe | 0 (0) | 10 (5.6) | 0.605 | 13 (6.4) | 0.621 | 0.736 | |
Staged | 108 | 307 | 356 | ||||
1 | 73 (67.6) | 160 (52.1) | 0.005 | 196 (55.1) | 0.021 | 0.449 | |
2 | 20 (18.5) | 89 (29.0) | 0.033 | 91 (25.6) | 0.133 | 0.322 | |
3 | 15 (13.9) | 58 (18.9) | 0.240 | 69 (19.4) | 0.194 | 0.873 | |
Histologye | 111 | 314 | 362 | ||||
Adenocarcinoma | 62 (55.9) | 159 (50.6) | 0.344 | 186 (51.4) | 0.409 | 0.847 | |
Squamous | 8 (7.2) | 94 (29.9) | 0.000 | 114 (31.5) | 0.000 | 0.662 | |
Adenosquamous | 0 (0) | 8 (2.5) | 0.090 | 13 (3.6) | 0.043 | 0.435 | |
Carcinoid | 31 (27.9) | 8 (2.5) | 0.000 | 14 (3.9) | 0.000 | 0.335 | |
Others | 10 (9.0) | 45 (14.3) | 0.151 | 35 (9.7) | 0.836 | 0.259 | |
Pathological diagnosisf | 111 | 314 | 362 | ||||
Non small cell lung cancer | 70 (63.1) | 266 (84.7) | 0.000 | 316 (87.3) | 0.000 | 0.334 | |
Small cell lung cancer | 0 (0) | 4 (1.3) | 0.232 | 1 (0.3) | 0.579 | 0.131 |
BMI: body mass index, FEV1: forced expiratory volume in 1 second, FVC: forced vital capacity, TLCO: transfer factor of the lung for carbon monoxide, COPD: chronic obstructive pulmonary disease.
p1 indicates comparison between never smokers and current smokers; p2 indicates comparison between never smokers and ex-smokers; p3 indicates comparison between current smokers and ex-smokers.
a: Smoking status was not recorded for 226 patients; hence they were excluded from the smoking status vs. complications analysis.
b: Totals: Lobectomy: 900, Pneumonectomy 113.
c: Pack-year data was missing for 6 current smokers and 9 ex-smokers.
d: Totals: Stage I: 559, Stage II: 261, Stage III: 193.
e: Totals: Adenocarcinoma: 521, Squamous: 279, Adenosquamous: 23, Carcinoid: 73, Others: 117.
f: Totals: Non-small cell lung cancer: 832, Small cell lung cancer: 7, Carcinoid 73.
(i) Pre-operative smoking status
Three hundred and sixty-two patients (36%) were ex-smokers, 314 (31%) were current smokers and 111 (11%) were never smokers. Two hundred and twenty-six patients (22%) did not have their smoking status recorded in the database, hence they were excluded from the smoking status vs. complications analysis. Ex-smokers were older than never smokers (69 vs 63 years, p<0.001), with no age difference between current and never smokers (64 vs 63 years, p = 0.497). Compared to the never smokers, both current smokers and ex-smokers were more likely to be males (p<0.001). Current smokers had a higher mean pack-year smoking exposure history compared to ex-smokers (p<0.001).
(ii) Pre-operative lung function and COPD diagnosis
Fifty-eight patients (6%) did not have lung function recorded in the database. Pre-operative spirometric values were higher in never smokers compared to both current and ex-smokers (Table 1), with mean percentage predicted FEV1s of 94%, 81% (p<0.001) and 84% (p<0.001), respectively. A similar pattern was seen with TLCO, with mean percentage predicted values in never smokers of 83%, compared to 70% (p<0.001) in current smokers and 73% (p<0.001) in ex-smokers. A pre-operative diagnosis of COPD was present in 20% of never smokers, compared to 57% of current smokers and 57% of ex-smokers. The never smokers had COPD of mild or moderate severity.
Surgical and neoadjuvant treatment
Nine hundred patients (89%) underwent lobectomy, and the remaining 113 (11%) underwent pneumonectomy. Video-assisted thoracoscopy (VATS) was used in 111 (11%) patients. Additionally, 56 patients (6%) received neoadjuvant radiotherapy or chemotherapy, with no difference seen based on smoking status (3% of never smokers, 6% of current smokers and 6% of ex-smokers).
Histology/Staging
Eight hundred and thirty-two patients (82%) had a pathological diagnosis of NSCLC, of which 521 (51%) were adenocarcinoma and 279 (28%) squamous cell carcinoma (SCC). NSCLC was more common amongst current smokers (85% vs 63%, OR 3.25, 95% CI 1.98–5.31, p<0.001) and ex-smokers (87% vs. 63%, OR 4.02, 95% CI 2.46–6.60, p<0.001) compared to never smokers. Similarly, SCC was more frequent in current smokers (30%, OR 5.5, 95% CI 2.58–1.7, p<0.001) and ex-smokers (32%, OR 5.92, 95% CI 2.79–12.6, p<0.001), compared to never smokers (7%). There was no difference in the frequency of adenocarcinoma in current or ex-smokers compared to never smokers. Conversely, carcinoid tumours were less common amongst current smokers (3% vs 28%, OR 0.07, 95% CI 0.03–0.15, p<0.001) and ex-smokers (4% vs 28%, OR 0.10, 95% CI 0.05–0.20, p<0.001) than among never smokers.
Most patients had Stage I disease (56%), with 26% having Stage II and 17% Stage III disease. Never smokers were more likely to be diagnosed with Stage I disease compared to both ex-smokers (68% vs. 55%, p = 0.021) and current smokers (68% vs. 52% p = 0.005). Conversely, current smokers were more likely to be diagnosed with stage II disease compared to never smokers (29% vs. 19%, p = 0.033). There was a trend towards higher rates of stage III disease in current and ex-smokers compared to never smokers.
Post-operative complications
Post-operative complication rates are shown in Table 2. About a quarter (26%) of patients experienced a PPC, with 71 patients experiencing more than one. The rates of specific complications were: atelectasis 4%, sputum retention 4%, pneumonia 7%, ARDS 1%, respiratory failure 4%, air leak 12% and empyema 1%.
Table 2. Complication rates grouped by smoking status.
Variables | Never smokers, n(%) | Current smokers, n(%) | p1 | Ex-smokers, n(%) | p2 | p3 |
---|---|---|---|---|---|---|
Total participantsa | 111 | 314 | 362 | |||
All complications | 50 (45.0) | 146 (46.5) | 0.792 | 161 (44.5) | 0.916 | 0.599 |
Pulmonary complicationsb | 19 (17.1) | 85 (27.1) | 0.036 | 88 (24.3) | 0.113 | 0.412 |
Atelectasis | 4 (21.1) | 13 (15.3) | 0.544 | 14 (15.9) | 0.801 | 0.268 |
Sputum retention | 6 (31.6) | 20 (23.5) | 0.474 | 11 (12.5) | 0.061 | 0.026 |
Pneumonia | 5 (26.3) | 22 (25.9) | 0.949 | 26 (29.5) | 0.804 | 0.703 |
ARDS | 0 (0) | 5 (5.9) | N/A | 2 (2.3) | N/A | 0.089 |
Respiratory failure | 4 (21.1) | 14 (16.5) | 0.629 | 12 (13.6) | 0.611 | 0.140 |
Air leak | 7 (36.8) | 35 (41.2) | 0.744 | 44 (50.0) | 0.313 | 0.955 |
Empyema | 1 (5.3) | 3 (3.5) | 1.000 | 5 (5.7) | 0.988 | 0.932 |
Length of stay in days, Mean (±SD) | 9.0 (7.1) | 9.5 (6.6) | 0.465 | 9.6 (6.9) | 0.423 | 0.908 |
p1 indicates comparison between never smokers and current smokers; p2 indicates comparison between never smokers and ex-smokers; p3 indicates comparison between current smokers and ex-smokers.
ARDS: Acute respiratory distress syndrome.
a: Smoking status was not recorded for 226 patients; hence they were excluded from the smoking status vs. complications analysis.
b: Some participants had more than one pulmonary complication.
There were no differences in overall complication rates according to smoking status. PPCs were more frequent in current smokers compared to never smokers (27% vs 17%, p = 0.036), however there was no difference between current and ex-smokers (p = 0.412) or between never- and ex-smokers (p = 0.113). There were no differences in individual PPC rates or mean lengths of stay according to smoking status, other than increased sputum retention for current smokers compared to ex-smokers (p = 0.026).
As demonstrated in Table 3, those with a diagnosis of COPD had a higher frequency of both PPCs (65% vs 35%, AOR 1.76, 95% CI 1.02–2.41, p<0.01) and overall complications (60% vs 40%, AOR 1.53, 95% CI 1.17–2.01, p<0.01). Of the individual pulmonary complications, sputum retention (77% vs 23%, AOR 3.93, 95% CI 1.49–10.4), respiratory failure (78% vs 22%, AOR 3.21, 95% CI 1.13–9.12) and air leak (66% vs 34%, AOR 2.85, 95% CI 1.12–7.20) were more common in those with COPD. Mean length of stay was longer in those with COPD (10.3 vs 9.0 days, p<0.01). Table 4 shows that the complication rates in those with COPD did not differ between never and current smokers, apart from air leak being more common in current smokers (p<0.01). Table 5 shows that sputum retention was more common amongst current smokers compared to ex-smokers with COPD (AOR 10.9, 95% CI 1.58–74.9).
Table 3. Complication rates grouped by COPD status.
Variables | COPD | No COPD | Unadjusted analyses | Adjusted analyses | ||||
---|---|---|---|---|---|---|---|---|
p | ORs | 95% CIs | p | AORs* | 95% CIs | |||
Total participantsa | 500 | 455 | ||||||
Post-operative complications | 267 (59.7) | 180 (40.3) | 0.000 | 1.75 | 1.35–2.26 | 0.002 | 1.53 | 1.17–2.01 |
Pulmonary complications | 159 (65.4) | 84 (34.6) | 0.000 | 2.06 | 1.52–2.79 | 0.001 | 1.76 | 1.02–2.41 |
Atelectasis | 22 (56.4) | 17 (43.6) | 0.866 | 0.92 | 0.37–2.31 | 0.890 | 0.93 | 0.35–2.51 |
Sputum retention | 34 (77.3) | 10 (22.7) | 0.010 | 3.25 | 1.30–8.13 | 0.006 | 3.93 | 1.49–10.4 |
Pneumonia | 44 (68.8) | 20 (31.3) | 0.140 | 1.87 | 0.81–4.31 | 0.096 | 2.21 | 0.87–5.63 |
ARDS | 4 (50.0) | 4 (50.0) | 0.706 | 0.75 | 0.17–3.35 | 0.637 | 0.69 | 0.15–3.22 |
Respiratory failure | 28 (77.8) | 8 (22.2) | 0.033 | 2.83 | 1.07–7.49 | 0.029 | 3.21 | 1.13–9.12 |
Air leak | 72 (66.1) | 37 (33.9) | 0.155 | 1.82 | 0.79–4.16 | 0.027 | 2.85 | 1.12–7.20 |
Empyema | 7 (63.6) | 4 (36.4) | 0.823 | 1.17 | 0.30–4.51 | 0.901 | 0.90 | 0.18–4.43 |
Length of stay, Mean (±SD) | 10.3 (7.4) | 9.0 (6.9) | 0.006 | Mean difference (-1.29) | (-2.21) to (-0.38) |
OR: Odds Ratio, AOR: Adjusted Odds Ratio, 95% CI: 95% Confidence Interval, ARDS: Acute respiratory distress syndrome.
* Adjusted for: age, gender and BMI.
a: Lung function was not recorded in 58 patients; hence they were excluded from the COPD status vs. complications analysis.
Table 4. Complication rates grouped by smoking status (current and never-smokers) amongst COPD patients.
Variables | Current smokers with COPD | Never smokers with COPD | Unadjusted analyses | Adjusted analyses | ||||
---|---|---|---|---|---|---|---|---|
p | ORs | 95% CIs | p | AORs* | 95% CIs | |||
Total participants | 180 | 22 | ||||||
Post-operative complications | 97 (88.2) | 13 (11.8) | 0.644 | 0.81 | 0.33–1.99 | 0.384 | 0.64 | 0.24–1.73 |
Pulmonary complications | 58 (92.1) | 5 (7.9) | 0.364 | 1.62 | 0.57–4.60 | 0.777 | 1.18 | 0.38–3.64 |
Atelectasis | 6 (66.7) | 3 (33.3) | 0.803 | 1.33 | 0.14–12.8 | 0.202 | 17.3 | 0.22–1375 |
Sputum retention | 17 (85.0) | 3 (15.0) | 0.785 | 1.42 | 0.12–17.5 | 0.577 | 2.30 | 0.12–42.8 |
Pneumonia | 13 (86.7) | 2 (13.3) | 0.844 | 1.30 | 0.10–17.7 | 0.737 | 1.71 | 0.07–39.3 |
ARDS | 1 (100) | 0 (0) | 0.571 | NA | NA | NA | NA | NA |
Respiratory failure | 9 (100) | 0 (0) | 0.086 | NA | NA | NA | NA | NA |
Air leak | 24 (100) | 0 (0) | 0.003 | NA | NA | NA | NA | NA |
Empyema | 2 (100) | 0 (0) | 0.429 | NA | NA | NA | NA | NA |
Length of stay, Mean (±SD) | 10 (6.5) | 10 (8.0) | 0.976 | Mean difference (-0.05) | (-3.01) to (2.92) |
OR: Odds Ratio, AOR: Adjusted Odds Ratio, 95% CI: 95% Confidence Intervals, ARDS: Acute respiratory distress syndrome.
* Adjusted for: age, gender and BMI.
Table 5. Complication rates grouped by smoking status (current and ex-smokers) amongst COPD patients.
Variables | Current smokers with COPD | Ex-smokers with COPD | Unadjusted analyses | Adjusted analyses | ||||
---|---|---|---|---|---|---|---|---|
p | ORs | 95% CIs | p | AORs | 95% CIs | |||
Total participants | 180 | 205 | ||||||
Post-operative complications | 97 (49.2) | 100 (50.8) | 0.317 | 1.23 | 0.82–1.83 | 0.121 | 1.42 | 0.91–2.22 |
Pulmonary complications | 58 (49.6) | 59 (50.4) | 0.464 | 1.18 | 0.76–1.82 | 0.343 | 1.26 | 0.78–2.03 |
Atelectasis | 6 (46.2) | 7 (53.8) | 0.173 | 3.14 | 0.59–16.8 | 0.060 | 12.8 | 0.90–182 |
Sputum retention | 17 (63.0) | 10 (37.0) | 0.024 | 4.68 | 1.17–18.7 | 0.015 | 10.90 | 1.58–74.9 |
Pneumonia | 13 (39.4) | 20 (60.6) | 0.953 | 1.04 | 0.28–3.88 | 0.229 | 3.14 | 0.49–20.3 |
ARDS | 1 (33.3) | 2 (66.7) | 0.952 | 1.08 | 0.08–14.4 | 0.754 | 1.67 | 0.07–42.2 |
Respiratory failure | 9 (42.9) | 12 (57.1) | 0.328 | 1.95 | 0.51–7.49 | 0.144 | 3.68 | 0.64–21.1 |
Air leak | 24 (43.6) | 31 (56.4) | 0.735 | 0.77 | 0.18–3.42 | 0.920 | 0.91 | 0.15–5.60 |
Empyema | 2 (28.6) | 5 (71.4) | 0.943 | 0.93 | 0.14–6.23 | 0.215 | 5.31 | 0.38–74.1 |
Length of stay, Mean (±SD) | 10 (6.5) | 10.1 (7.6) | 0.871 | Mean difference (0.12) | (-1.30) to (1.53) |
OR: Odds Ratio, AOR: Adjusted Odds Ratio, 95%CI: 95% Confidence Interval, ARDS: Acute respiratory distress syndrome.
* Adjusted for: age, gender and BMI.
Discussion
This study is the first to examine the association between smoking, COPD and post-operative complications following lung cancer resection in an Australian population. With 23 years of prospective follow up, this study is the longest single centre lung cancer resection cohort reported to date, as well as being one of the largest, world-wide. The study demonstrated a higher rate of PPCs following lung cancer surgery in current smokers compared to never smokers, which is comparable with previous literature [6, 24]. There was an increase in PPCs, overall complications and length of stay in those with COPD compared to those without, independent of smoking status. There was no significant difference in PPCs, overall complications or length of stay in ex-smokers compared to either current or never smokers.
There have been several studies examining smoking cessation and its effect on lung cancer surgery complication rates. Consistent with the results of our study, Fukui et al. demonstrated a higher PPC rate in smokers compared to never smokers in 666 patients who underwent lung cancer resections in a single centre in Japan [24]. In that study, however, differential results were noted in ex-smokers, with decreasing odds of a PPC associated with a longer duration of smoking cessation, and some reduction even after cessation for under a month. Lugg et al. examined a group of 462 patients undergoing lung cancer resections in a thoracic centre in the UK, and also found a higher rate of PPCs in smokers compared to never smokers [7]. There was a trend towards a lower PPC rate in ex-smokers, which was defined as those who had stopped any time prior to surgery. Nonetheless, they found no difference in PPCs in ex-smokers who had quit for more than or less than six weeks. Rodriguez et al. performed a case control study in 378 patients, examining current smokers and recently (within 16 weeks) reformed smokers, and found no difference in rates of pneumonia and atelectasis [20].
Part of the reason for the mixed evidence of the benefit of smoking cessation may lie in the different definitions used in the studies to characterise ex-smokers. We used a more parsimonious definition in our ex-smoker classification of one year of abstinence, as have other authors [28]. There is no consensus on the duration of smoking abstinence required in order to be defined as an ex-smoker. The most liberal definition of an ex-smoker is someone who has not smoked in the past 24 hours. We know that likelihood of quitting smoking on any given attempt is low, and that it takes multiple quit attempts to successfully abstain from smoking [29]. It is also known that smoking cessation for 12 months or more significantly reduces the risk of relapse [25]. Life insurance companies consider individuals as current smokers if they have smoked even one cigarette in the preceding 12 months [30]. The rate of smoking relapse after lung cancer resection is high. Cooley et al. studied a group of 84 ever-smokers who underwent lung cancer resection and found that, after one month, 18% had relapsed, increasing to 33% at two months and 42% at four months [31]. Ten participants who had quit before their diagnosis of lung cancer resumed smoking after surgery. Out of the ten, eight had abstained from cigarettes for a least a year prior to their lung cancer diagnosis. Even with our strict definition, some participants classified as ex-smokers in our study could have relapsed in the post-operative period. At the one-month mark in Cooley’s study, 13% admitted to a resumption of smoking, with a positive urine cotinine analysis (reflecting nicotine intake), increasing the proportion to 18%. The above-mentioned studies by Fukui, Lugg and Rodriguez all relied on self-report, where it is possible that some of the participants who reported they were ex-smokers (especially those who had quit recently), were still smoking, skewing the results. Our definition of an ex-smoker may make it less likely to find differences between never and ex-smokers, although more likely to find differences between current and ex-smokers.
Similarly, there is no universally accepted definition of a PPC, resulting in rates ranging from 5% in a study that characterised PPC as atelectasis requiring bronchoscopy and or pneumonia (Rodriguez et al) to 32% in another study that defined a PPC as hypoxia, pneumonia, atelectasis and or uncontrolled sputum production (Fukui et al) [20, 24]. It is possible that studies with a more inclusive PPC definition would be better powered to find a difference in complication rates. Compared to the above studies our definition of a PPC was more comprehensive, and hence a better representation of the true respiratory complication rate and the effect smoking status has on this.
Despite the mixed evidence of its value in the perioperative period, smoking cessation is still beneficial in early stage lung cancer, with reduced risk of cancer recurrence, lower rates of development of a secondary primary tumour and improved long term survival in those who quit [32]. Long term survival is thought to be driven by a reduction in both cardiorespiratory and cancer-related deaths. Indeed, a new lung cancer diagnosis may be an effective time to employ smoking cessation strategies, with a retrospective analysis showing that an intensive smoking cessation program prior to lung cancer resection achieved smoking cessation rates of just over 50% at 24 months [33]. For these reasons, we believe that smoking cessation should still be actively pursued in the preoperative period.
In concordance with our results, several previous studies have shown a higher frequency of PPCs in patients with COPD [16–19]. The COPD incidence of 57% in smokers or ex-smokers in our study population is comparable with that in other lung cancer cohorts [12, 34]. Given the increased perioperative risk associated with COPD, the question is raised as to whether post-operative outcomes can be improved through peri-operative optimisation of COPD management. Our management of patients with lung cancer has always been multidisciplinary, involving regular meetings between respiratory physicians, thoracic surgeons, oncologists, radiologists, pathologists, and radiotherapists. This has included regular referral of patients to respiratory physicians for pre-operative maximisation of COPD therapy, as well as consensus decision-making regarding the appropriateness of surgery as the treatment modality. Key aims of COPD management include optimisation of function and prevention of exacerbations. Not only are exacerbations associated with increased mortality [35], but the risk of exacerbation is increased post thoracic surgery [36], and those with reduced lung function have poorer surgical outcomes [37]. Thus, therapies that improve lung function and reduce the risk of exacerbation could be expected to be beneficial in the perioperative setting.
Long-acting bronchodilators improve lung function and symptoms, and decrease exacerbations [38]. There is some evidence that inhaled long-acting muscarinic antagonists (LAMAs) and long-acting beta agonists (LABAs) reduce post-operative complications, however studies have mostly been retrospective in nature, with small numbers of participants [39–41]. The combination of LAMA and LABA has been shown to improve lung function, symptoms and exacerbation rates more than bronchodilator monotherapy [42]. Makino et al. performed a retrospective analysis of 33 patients, comparing combination LAMA/LABA with bronchodilator monotherapy, demonstrating a reduction in the rate of post-operative pneumonia in the combination group, but no difference in any other pulmonary or cardiovascular complication [43]. Inhaled corticosteroids (ICS) are recommended in patients with recurrent exacerbations of their COPD, concomitant asthma, and/or elevated serum eosinophil levels [27]. Bölükbas et al. compared LAMA/LABA vs. LAMA/LABA/ICS therapy prospectively in a group of 46 patients newly diagnosed with both lung cancer and moderate to severe COPD [44]. After one week of treatment, lung function improved in both groups, with more patients in the triple therapy group having a greater than 10% improvement in FEV1 as well as a decrease in GOLD COPD severity class. A statistically significant reduction in PPCs was seen in the triple therapy group as well, driven by reductions in pneumonia and sputum retention. We have found no other trials looking at ICS therapy or dual versus mono bronchodilator therapy in patients undergoing lung cancer resection. Despite a lack of high quality evidence it would seem appropriate to maximise bronchodilatation in patients with COPD in the peri-operative period, and to consider the addition of ICS in those with moderate to severe COPD, an allergic phenotype, or an elevated serum eosinophil count.
Pre-operative pulmonary rehabilitation or “prehabilitation” may also reduce perioperative risk. Pulmonary rehabilitation programs have been shown to improve symptoms and quality of life and to reduce exacerbations [45, 46]. Although most programs are 6–8 weeks in duration, there is evidence that shorter duration programs can be beneficial. Mujoiv et al. demonstrated that a 2–4 week period of pre-operative pulmonary rehabilitation improved lung function in a group of patients with NSCLC and COPD awaiting surgery, although bronchodilator therapy was included as part of the program, which may have contributed to this improvement [47]. In a randomised controlled trial (n = 101) of a one week high intensity inpatient exercise program prior to lobectomy, Lai et al demonstrated a reduction in PPCs and length of stay in the exercise group [48]. A meta-analysis showed that inspiratory muscle training reduces PPCs and length of stay in cardiac, pulmonary, and abdominal surgical patients [49], and a recent randomised controlled trial demonstrated similar benefits in a group of patients with lung cancer [50]. Many of the studies examining the impact of prehabilitation on complications of lung cancer resection have included unselected populations, rather than those who have comorbid COPD. A meta-analysis performed by Li et al. included three randomised controlled trials looking at PPCs in those with COPD and lung cancer. Whilst there was an overall reduction in length of stay, there was only a trend to a reduction in PPCs, that did not reach statistical significance, however numbers were small [51]. We believe it would be reasonable to recommend exercise therapy prior to surgery if this does not delay surgery. More studies targeting the COPD population specifically are required to determine the type and duration of the exercise program.
The proportion of never smokers with COPD in our study (just on 20%) is reflective of the literature [12, 52]. The airflow obstruction in the never smokers in our study could relate to second-hand smoke exposure, air pollution, or asthma. We were unable to determine the exact aetiology as comorbid conditions and environmental exposures were not recorded in the database. There is a possibility that airflow obstruction was over diagnosed in older patients, as we used a fixed 0.7 cut off for FEV1/FVC ratio, rather than an age adjusted lower limit of normal [52]. As the ex-smokers in our study were older than the current smokers, this may have led to a higher complication rate in the ex-smokers. It is possible this may have contributed to the lack of difference in complications seen between current and ex-smokers.
There are a few limitations of our study. The first is that we were not able assess the impact of a shorter period of smoking cessation on complication rates. Although our definition of a current smoker allows us to characterise more accurately those who were probably still smoking, it does not allow us to make a granular assessment of the impact of smoking cessation in the days to weeks prior to surgery. Using a shorter period of abstinence to define quitting as well as using objective testing for cigarette use would be a way to examine this in the future. The second limitation is the use of pre-, rather than post-bronchodilator spirometry, to define COPD. This may have overestimated the number of patients who truly had COPD, although it is not uncommon to use pre-bronchodilator spirometry to diagnose COPD if post-bronchodilator spirometry is not available. The third limitation is that we do not have data on pre-existing comorbidities that may have increased the post-operative complication rate. In our cohort of smokers and in those with COPD, cardiovascular disease would likely have been the most significant comorbidity. This may have contributed to the overall complication rate but is unlikely to significantly impact the pulmonary complication rate. Notwithstanding these limitations, our study is an important addition to the literature, given our large study population and comprehensive data set. Complications were clearly defined and prospectively recorded. Spirometry was available on nearly all our patients and hence we were able to comment usefully on the likelihood of a concurrent diagnosis of COPD, its severity, and the impact of the COPD diagnosis on outcomes.
Conclusion
Smoking and COPD are both associated with a higher rate of PPCs post lung cancer resection. COPD, independent of smoking status, is also associated with an increased overall post-operative complication rate and length of hospital stay. Smoking cessation should be pursued in the preoperative period, however an emphasis on COPD treatment optimisation, rather than smoking cessation in isolation, may maximise post-operative outcomes. Future studies should assist in determining the most appropriate peri-operative program of smoking cessation, “prehabilitation” and pharmacotherapy to maximise outcomes in patients undergoing lung cancer surgery.
Supporting information
Data Availability
Raw data cannot be shared publicly as it is in a re-identifiable surgical database. These restrictions were placed by the Austin Health Human Research Ethics Committee. This is to meet the requirements outlined in Section 2.3.10 of the National Statement (NHMRC). Please contact Austin Health, Office for Research, (research@austin.org.au) for more information.
Funding Statement
The authors received no specific funding for this work.
References
- 1.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. Epub 2018/09/13. doi: 10.3322/caac.21492 . [DOI] [PubMed] [Google Scholar]
- 2.Australian Institute of Health and Welfare. Cancer in Australia 2019 Canberra [cited 2021 10 August]. Available from: https://www.aihw.gov.au/reports/cancer/cancer-in-australia-2019/summary. [Google Scholar]
- 3.Australian Bureau of Statistics. National Health Survey: First Results, 2017–18 2018 [cited 2021 10 August]. Available from: https://www.abs.gov.au/statistics/health/health-conditions-and-risks/national-health-survey-first-results/latest-release.
- 4.Simmons VN, Litvin EB, Jacobsen PB, Patel RD, McCaffrey JC, Oliver JA, et al. Predictors of smoking relapse in patients with thoracic cancer or head and neck cancer. Cancer. 2013;119(7):1420–7. Epub 2013/01/03. doi: 10.1002/cncr.27880 ; PubMed Central PMCID: PMC3604135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Sardari Nia P, Weyler J, Colpaert C, Vermeulen P, Van Marck E, Van Schil P. Prognostic value of smoking status in operated non-small cell lung cancer. Lung Cancer. 2005;47(3):351–9. Epub 2005/02/17. doi: 10.1016/j.lungcan.2004.08.011 . [DOI] [PubMed] [Google Scholar]
- 6.Mason DP, Subramanian S, Nowicki ER, Grab JD, Murthy SC, Rice TW, et al. Impact of smoking cessation before resection of lung cancer: a Society of Thoracic Surgeons General Thoracic Surgery Database study. Ann Thorac Surg. 2009;88(2):362–70; discussion 70–1. Epub 2009/07/28. doi: 10.1016/j.athoracsur.2009.04.035 . [DOI] [PubMed] [Google Scholar]
- 7.Lugg ST, Tikka T, Agostini PJ, Kerr A, Adams K, Kalkat MS, et al. Smoking and timing of cessation on postoperative pulmonary complications after curative-intent lung cancer surgery. J Cardiothorac Surg. 2017;12(1):52. Epub 2017/06/21. doi: 10.1186/s13019-017-0614-4 ; PubMed Central PMCID: PMC5477280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Shiono S, Katahira M, Abiko M, Sato T. Smoking is a perioperative risk factor and prognostic factor for lung cancer surgery. Gen Thorac Cardiovasc Surg. 2015;63(2):93–8. Epub 2014/08/03. doi: 10.1007/s11748-014-0461-3 . [DOI] [PubMed] [Google Scholar]
- 9.Miskovic A, Lumb AB. Postoperative pulmonary complications. Br J Anaesth. 2017;118(3):317–34. Epub 2017/02/12. doi: 10.1093/bja/aex002 . [DOI] [PubMed] [Google Scholar]
- 10.Fernandez-Bustamante A, Frendl G, Sprung J, Kor DJ, Subramaniam B, Martinez Ruiz R, et al. Postoperative Pulmonary Complications, Early Mortality, and Hospital Stay Following Noncardiothoracic Surgery: A Multicenter Study by the Perioperative Research Network Investigators. JAMA Surg. 2017;152(2):157–66. Epub 2016/11/10. doi: 10.1001/jamasurg.2016.4065 ; PubMed Central PMCID: PMC5334462. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lugg ST, Agostini PJ, Tikka T, Kerr A, Adams K, Bishay E, et al. Long-term impact of developing a postoperative pulmonary complication after lung surgery. Thorax. 2016;71(2):171–6. Epub 2016/01/16. doi: 10.1136/thoraxjnl-2015-207697 . [DOI] [PubMed] [Google Scholar]
- 12.Loganathan RS, Stover DE, Shi W, Venkatraman E. Prevalence of COPD in women compared to men around the time of diagnosis of primary lung cancer. Chest. 2006;129(5):1305–12. Epub 2006/05/11. doi: 10.1378/chest.129.5.1305 . [DOI] [PubMed] [Google Scholar]
- 13.Young RP, Hopkins RJ, Christmas T, Black PN, Metcalf P, Gamble GD. COPD prevalence is increased in lung cancer, independent of age, sex and smoking history. Eur Respir J. 2009;34(2):380–6. Epub 2009/02/07. doi: 10.1183/09031936.00144208 . [DOI] [PubMed] [Google Scholar]
- 14.Eapen MS, Hansbro PM, Larsson-Callerfelt AK, Jolly MK, Myers S, Sharma P, et al. Chronic Obstructive Pulmonary Disease and Lung Cancer: Underlying Pathophysiology and New Therapeutic Modalities. Drugs. 2018;78(16):1717–40. Epub 2018/11/06. doi: 10.1007/s40265-018-1001-8 . [DOI] [PubMed] [Google Scholar]
- 15.Brenner DR, McLaughlin JR, Hung RJ. Previous lung diseases and lung cancer risk: a systematic review and meta-analysis. PLoS One. 2011;6(3):e17479. Epub 2011/04/13. doi: 10.1371/journal.pone.0017479 ; PubMed Central PMCID: PMC3069026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Licker MJ, Widikker I, Robert J, Frey JG, Spiliopoulos A, Ellenberger C, et al. Operative mortality and respiratory complications after lung resection for cancer: impact of chronic obstructive pulmonary disease and time trends. Ann Thorac Surg. 2006;81(5):1830–7. Epub 2006/04/25. doi: 10.1016/j.athoracsur.2005.11.048 . [DOI] [PubMed] [Google Scholar]
- 17.Roy E, Rheault J, Pigeon MA, Ugalde PA, Racine C, Simard S, et al. Lung cancer resection and postoperative outcomes in COPD: A single-center experience. Chron Respir Dis. 2020;17:1479973120925430. Epub 2020/05/30. doi: 10.1177/1479973120925430 ; PubMed Central PMCID: PMC7263105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kim ES, Kim YT, Kang CH, Park IK, Bae W, Choi SM, et al. Prevalence of and risk factors for postoperative pulmonary complications after lung cancer surgery in patients with early-stage COPD. Int J Chron Obstruct Pulmon Dis. 2016;11:1317–26. Epub 2016/07/02. doi: 10.2147/COPD.S105206 ; PubMed Central PMCID: PMC4914071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Sekine Y, Behnia M, Fujisawa T. Impact of COPD on pulmonary complications and on long-term survival of patients undergoing surgery for NSCLC. Lung Cancer. 2002;37(1):95–101. Epub 2002/06/12. doi: 10.1016/s0169-5002(02)00014-4 . [DOI] [PubMed] [Google Scholar]
- 20.Rodriguez M, Gomez-Hernandez MT, Novoa N, Jimenez MF, Aranda JL, Varela G. Refraining from smoking shortly before lobectomy has no influence on the risk of pulmonary complications: a case-control study on a matched population. Eur J Cardiothorac Surg. 2017;51(3):498–503. Epub 2017/01/14. doi: 10.1093/ejcts/ezw359 . [DOI] [PubMed] [Google Scholar]
- 21.Marrufo AS, Kozower BD, Tancredi DJ, Nuno M, Cooke DT, Pollock BH, et al. Thoracic Surgeons’ Beliefs and Practices on Smoking Cessation Before Lung Resection. Ann Thorac Surg. 2019;107(5):1494–9. Epub 2018/12/27. doi: 10.1016/j.athoracsur.2018.11.055 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Nayan S, Gupta MK, Sommer DD. Evaluating smoking cessation interventions and cessation rates in cancer patients: a systematic review and meta-analysis. ISRN Oncol. 2011;2011:849023. Epub 2011/11/18. doi: 10.5402/2011/849023 ; PubMed Central PMCID: PMC3195844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Cox LS, Africano NL, Tercyak KP, Taylor KL. Nicotine dependence treatment for patients with cancer. Cancer. 2003;98(3):632–44. Epub 2003/07/25. doi: 10.1002/cncr.11538 . [DOI] [PubMed] [Google Scholar]
- 24.Fukui M, Suzuki K, Matsunaga T, Oh S, Takamochi K. Importance of Smoking Cessation on Surgical Outcome in Primary Lung Cancer. Ann Thorac Surg. 2019;107(4):1005–9. Epub 2019/01/06. doi: 10.1016/j.athoracsur.2018.12.002 . [DOI] [PubMed] [Google Scholar]
- 25.Hughes JR, Peters EN, Naud S. Relapse to smoking after 1 year of abstinence: a meta-analysis. Addict Behav. 2008;33(12):1516–20. Epub 2008/08/19. doi: 10.1016/j.addbeh.2008.05.012 ; PubMed Central PMCID: PMC2577779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Rami-Porta R, Crowley JJ, Goldstraw P. The revised TNM staging system for lung cancer. Ann Thorac Cardiovasc Surg. 2009;15(1):4–9. Epub 2009/03/06. . [PubMed] [Google Scholar]
- 27.GOLD G. Global Strategy for the Diagnosis. Management and Prevention of COPD—Global Initiative for Chronic Obstructive Lung Disease—GOLD. 2017. [Google Scholar]
- 28.Laisaar T, Sarana B, Benno I, Laisaar KT. Surgically treated lung cancer patients: do they all smoke and would they all have been detected with lung cancer screening? ERJ Open Res. 2018;4(3). Epub 2018/08/08. doi: 10.1183/23120541.00001-2018 ; PubMed Central PMCID: PMC6073050 Education and Research (grant IUT34-17), during the conduct of the study. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Chaiton M, Diemert L, Cohen JE, Bondy SJ, Selby P, Philipneri A, et al. Estimating the number of quit attempts it takes to quit smoking successfully in a longitudinal cohort of smokers. BMJ Open. 2016;6(6):e011045. Epub 2016/06/12. doi: 10.1136/bmjopen-2016-011045 ; PubMed Central PMCID: PMC4908897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Smoker vs Non-smoker Life insurance Rates 2021 [updated 11 January 202127 June 2021]. Available from: https://www.comparingexpert.com.au/life-insurance/term-life-insurance-smoking-non-smokers/.
- 31.Cooley ME, Sarna L, Kotlerman J, Lukanich JM, Jaklitsch M, Green SB, et al. Smoking cessation is challenging even for patients recovering from lung cancer surgery with curative intent. Lung Cancer. 2009;66(2):218–25. Epub 2009/03/27. doi: 10.1016/j.lungcan.2009.01.021 ; PubMed Central PMCID: PMC3805262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Parsons A, Daley A, Begh R, Aveyard P. Influence of smoking cessation after diagnosis of early stage lung cancer on prognosis: systematic review of observational studies with meta-analysis. BMJ. 2010;340:b5569. Epub 2010/01/23. doi: 10.1136/bmj.b5569 ; PubMed Central PMCID: PMC2809841. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Phillips JD, Fay KA, Ramkumar N, Hasson RM, Fannin AV, Millington TM, et al. Long-Term Outcomes of a Preoperative Lung Resection Smoking Cessation Program. J Surg Res. 2020;254:110–7. Epub 2020/05/20. doi: 10.1016/j.jss.2020.04.005 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Congleton J, Muers MF. The incidence of airflow obstruction in bronchial carcinoma, its relation to breathlessness, and response to bronchodilator therapy. Respir Med. 1995;89(4):291–6. Epub 1995/04/01. doi: 10.1016/0954-6111(95)90090-x [DOI] [PubMed] [Google Scholar]
- 35.Hillas G, Perlikos F, Tzanakis N. Acute exacerbation of COPD: is it the "stroke of the lungs"? Int J Chron Obstruct Pulmon Dis. 2016;11:1579–86. Epub 2016/07/30. doi: 10.2147/COPD.S106160 ; PubMed Central PMCID: PMC4948693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Leo F, Venissac N, Pop D, Solli P, Filosso P, Minniti A, et al. Postoperative exacerbation of chronic obstructive pulmonary disease. Does it exist? Eur J Cardiothorac Surg. 2008;33(3):424–9. Epub 2008/01/30. doi: 10.1016/j.ejcts.2007.11.024 . [DOI] [PubMed] [Google Scholar]
- 37.Win T, Jackson A, Sharples L, Groves AM, Wells FC, Ritchie AJ, et al. Relationship between pulmonary function and lung cancer surgical outcome. Eur Respir J. 2005;25(4):594–9. Epub 2005/04/02. doi: 10.1183/09031936.05.00077504 . [DOI] [PubMed] [Google Scholar]
- 38.Karner C, Chong J, Poole P. Tiotropium versus placebo for chronic obstructive pulmonary disease. Cochrane Database Syst Rev. 2014;(7):CD009285. Epub 2014/07/22. doi: 10.1002/14651858.CD009285.pub3 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Nojiri T, Inoue M, Yamamoto K, Maeda H, Takeuchi Y, Nakagiri T, et al. Inhaled tiotropium to prevent postoperative cardiopulmonary complications in patients with newly diagnosed chronic obstructive pulmonary disease requiring lung cancer surgery. Surg Today. 2014;44(2):285–90. Epub 2013/01/12. doi: 10.1007/s00595-012-0481-5 . [DOI] [PubMed] [Google Scholar]
- 40.Ueda K, Tanaka T, Hayashi M, Hamano K. Role of inhaled tiotropium on the perioperative outcomes of patients with lung cancer and chronic obstructive pulmonary disease. Thorac Cardiovasc Surg. 2010;58(1):38–42. Epub 2010/01/15. doi: 10.1055/s-0029-1186269 . [DOI] [PubMed] [Google Scholar]
- 41.Takegahara K, Usuda J, Inoue T, Ibi T, Sato A. Preoperative management using inhalation therapy for pulmonary complications in lung cancer patients with chronic obstructive pulmonary disease. Gen Thorac Cardiovasc Surg. 2017;65(7):388–91. Epub 2017/03/11. doi: 10.1007/s11748-017-0761-5 ; PubMed Central PMCID: PMC5486589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Mammen MJ, Pai V, Aaron SD, Nici L, Alhazzani W, Alexander PE. Dual LABA/LAMA Therapy versus LABA or LAMA Monotherapy for Chronic Obstructive Pulmonary Disease. A Systematic Review and Meta-analysis in Support of the American Thoracic Society Clinical Practice Guideline. Ann Am Thorac Soc. 2020;17(9):1133–43. Epub 2020/06/13. doi: 10.1513/AnnalsATS.201912-915OC . [DOI] [PubMed] [Google Scholar]
- 43.Makino T, Otsuka H, Hata Y, Koezuka S, Azuma Y, Isobe K, et al. Long-acting muscarinic antagonist and long-acting beta2-agonist therapy to optimize chronic obstructive pulmonary disease prior to lung cancer surgery. Mol Clin Oncol. 2018;8(5):647–52. Epub 2018/05/05. doi: 10.3892/mco.2018.1595 ; PubMed Central PMCID: PMC5920355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Bolukbas S, Eberlein M, Eckhoff J, Schirren J. Short-term effects of inhalative tiotropium/formoterol/budenoside versus tiotropium/formoterol in patients with newly diagnosed chronic obstructive pulmonary disease requiring surgery for lung cancer: a prospective randomized trial. Eur J Cardiothorac Surg. 2011;39(6):995–1000. Epub 2010/10/26. doi: 10.1016/j.ejcts.2010.09.025 . [DOI] [PubMed] [Google Scholar]
- 45.Moore E, Palmer T, Newson R, Majeed A, Quint JK, Soljak MA. Pulmonary Rehabilitation as a Mechanism to Reduce Hospitalizations for Acute Exacerbations of COPD: A Systematic Review and Meta-Analysis. Chest. 2016;150(4):837–59. Epub 2016/08/09. doi: 10.1016/j.chest.2016.05.038 . [DOI] [PubMed] [Google Scholar]
- 46.McCarthy B, Casey D, Devane D, Murphy K, Murphy E, Lacasse Y. Pulmonary rehabilitation for chronic obstructive pulmonary disease. Cochrane Database Syst Rev. 2015;(2):CD003793. Epub 2015/02/24. doi: 10.1002/14651858.CD003793.pub3 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Mujovic N, Mujovic N, Subotic D, Marinkovic M, Milovanovic A, Stojsic J, et al. Preoperative pulmonary rehabilitation in patients with non-small cell lung cancer and chronic obstructive pulmonary disease. Arch Med Sci. 2014;10(1):68–75. Epub 2014/04/05. doi: 10.5114/aoms.2013.32806 ; PubMed Central PMCID: PMC3953962. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Lai Y, Su J, Qiu P, Wang M, Zhou K, Tang Y, et al. Systematic short-term pulmonary rehabilitation before lung cancer lobectomy: a randomized trial. Interact Cardiovasc Thorac Surg. 2017;25(3):476–83. Epub 2017/05/19. doi: 10.1093/icvts/ivx141 . [DOI] [PubMed] [Google Scholar]
- 49.Kendall F, Oliveira J, Peleteiro B, Pinho P, Bastos PT. Inspiratory muscle training is effective to reduce postoperative pulmonary complications and length of hospital stay: a systematic review and meta-analysis. Disabil Rehabil. 2018;40(8):864–82. Epub 2017/01/18. doi: 10.1080/09638288.2016.1277396 . [DOI] [PubMed] [Google Scholar]
- 50.Laurent H, Aubreton S, Galvaing G, Pereira B, Merle P, Richard R, et al. Preoperative respiratory muscle endurance training improves ventilatory capacity and prevents pulmonary postoperative complications after lung surgery. Eur J Phys Rehabil Med. 2020;56(1):73–81. Epub 2019/09/07. doi: 10.23736/S1973-9087.19.05781-2 . [DOI] [PubMed] [Google Scholar]
- 51.Li X, Li S, Yan S, Wang Y, Wang X, Sihoe ADL, et al. Impact of preoperative exercise therapy on surgical outcomes in lung cancer patients with or without COPD: a systematic review and meta-analysis. Cancer Manag Res. 2019;11:1765–77. Epub 2019/03/13. doi: 10.2147/CMAR.S186432 ; PubMed Central PMCID: PMC6387612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Janssens JP. Aging of the respiratory system: impact on pulmonary function tests and adaptation to exertion. Clin Chest Med. 2005;26(3):469–84, vi-vii. Epub 2005/09/06. doi: 10.1016/j.ccm.2005.05.004 . [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Raw data cannot be shared publicly as it is in a re-identifiable surgical database. These restrictions were placed by the Austin Health Human Research Ethics Committee. This is to meet the requirements outlined in Section 2.3.10 of the National Statement (NHMRC). Please contact Austin Health, Office for Research, (research@austin.org.au) for more information.