Analysis of risk factors for postoperative complications in non-small cell lung cancer: comparison with the Japanese National Clinical Database risk calculator

Impact of preoperative inflammatory indices and postoperative pneumonia on postoperative atrial fibrillation in patients with non-small cell lung cancer: a retrospective study

BACKGROUND

This study aimed to evaluate the impact of preoperative inflammatory indices and postoperative pneumonia (POP) on postoperative atrial fibrillation (POAF) in non-small cell lung cancer (NSCLC) patients.

METHODS

All consecutive patients who underwent pulmonary resection at our hospital (January 2016-October 2019) were enrolled. Preoperative inflammatory indices, demographic data, surgical details, and postoperative conditions were analyzed. Univariate and multivariate analyses of risk factors associated with POAF were also conducted.

RESULTS

Among the 382 patients included in the study, 32 (8.38%) developed POAF. Compared to non-POAF patients, POAF patients had greater incidence of POP (P = 0.09). Approximately 31 patients (96.9%) developed atrial fibrillation within three days after surgery. The POAF group had a significantly greater mean age (68.94 years) than did the non-POAF group (63 years) (P = 0.002). Additionally, compared to non-POAF patients, POAF patients exhibited an increased number of resected mediastinal lymph nodes (P < 0.001) and mediastinal lymph node stations (P < 0.001).The POAF group also had a greater intraoperative blood volume (P = 0.006), longer surgical duration (P = 0.022), and greater drainage volume (P = 0.003). IA/B stage (P < 0.001) and IIIA/B stage(P < 0.001), and lobectomy resection (P = 0.008) and wedge resection (P = 0.023) were also associated with POAF. Compared to those in the non-POAF group, the POAF group had longer postoperative hospital stays (10.54 days vs. 9 days; P = 0.001) and longer drainage times (7 days vs. 5 days; P = 0.004). Multivariate analysis revealed age, POP, and stage IIIA/B as independent influencing factors of POAF in NSCLC patients.

CONCLUSION

Preoperative inflammatory indices were not significantly associated with POAF, but age, POP, and stage IIIA/B were identified as independent influencing factors. Advanced-stage NSCLC patients may have a greater susceptibility to POAF than early-stage patients, although further validation is needed. Additionally, POAF was linked to a longer postoperative hospital stay.

Importance of duodenal stump reinforcement to prevent stump leakage after gastrectomy: a large-scale multicenter retrospective study (KSCC DELICATE study)

BACKGROUND

The significance of reinforcement of the duodenal stump with seromuscular sutures and the effectiveness of reinforced staplers in preventing duodenal stump leakage remain unclear. We aimed to explore the importance of duodenal stump reinforcement and determine the optimal reinforcement method for preventing duodenal stump leakage.

METHODS

This retrospective cohort study was conducted between January 1, 2012 and December 31, 2021, with data analyzed between December 1, 2022 and September 30, 2023. This multicenter study across 57 institutes in Japan included 16,475 patients with gastric cancer who underwent radical gastrectomies. Elective open or minimally invasive (laparoscopic or robotic) gastrectomy was performed in patients with gastric cancer.

RESULTS

Duodenal stump leakage occurred in 153 (0.93%) of 16,475 patients. The proportions of males, patients aged ≥ 75 years, and ≥ pN1 were higher in patients with duodenal stump leakage than in those without duodenal stump leakage. The incidence of duodenal stump leakage was significantly lower in the group treated with reinforcement by seromuscular sutures or using reinforced stapler than in the group without reinforcement (0.72% vs. 1.19%, p = 0.002). Duodenal stump leakage incidence was also significantly lower in high-volume institutions than in low-volume institutions (0.70% vs. 1.65%, p = 0.047). The rate of duodenal stump leakage-related mortality was 7.8% (12/153). In the multivariate analysis, preoperative asthma and duodenal invasion were identified as independent preoperative risk factors for duodenal stump leakage-related mortality.

CONCLUSIONS

The duodenal stump should be reinforced to prevent duodenal stump leakage after radical gastrectomy in patients with gastric cancer.

Analysis of risk factors of postoperative complication for non-small cell lung cancer

BACKGROUND

The relationship between risk factors of common postoperative complications after pulmonary resection, such as air leakage, atelectasis, and arrhythmia, and patient characteristics, including nutritional status or perioperative factors, has not been sufficiently elucidated.

METHODS

One thousand one hundred thirty-nine non-small cell lung cancer patients who underwent pulmonary resection were retrospectively analyzed for risk factors of common postoperative complications.

RESULTS

In a multivariate analysis, male sex (P = 0.01), age ≥ 65 years (P < 0.01), coexistence of chronic obstructive pulmonary disease (COPD) (P < 0.01), upper lobe (P < 0.01), surgery time ≥ 155 min (P < 0.01), and presence of lymphatic invasion (P = 0.01) were significant factors for postoperative complication. Male sex (P < 0.01), age ≥ 65 years (P = 0.02), body mass index (BMI) < 21.68 (P < 0.01), coexistence of COPD (P = 0.02), and surgery time ≥ 155 min (P = 0.01) were significant factors for severe postoperative complication. Male sex (P = 0.01), BMI < 21.68 (P < 0.01), thoracoscopic surgery (P < 0.01), and surgery time ≥ 155 min (P < 0.01) were significant risk factors for postoperative air leakage. Coexistence of COPD (P = 0.01) and coexistence of asthma (P < 0.01) were significant risk factors for postoperative atelectasis. Prognostic nutrition index (PNI) < 45.52 (P < 0.01), lobectomy or extended resection more than lobectomy (P = 0.01), and surgery time ≥ 155 min (P < 0.01) were significant risk factors for postoperative arrhythmia.

CONCLUSION

Low BMI, thoracoscopic surgery, and longer surgery time were significant risk factors for postoperative air leakage. Coexistence of COPD and coexistence of asthma were significant risk factors for postoperative atelectasis. PNI, surgery time, and surgical procedure were revealed as risk factors of postoperative arrhythmia. Patients with these factors should be monitored for postoperative complication.

TRIAL REGISTRATION

The Institutional Review Board of Kanazawa Medical University approved the protocol of this retrospective study (approval number: I392), and written informed consent was obtained from all patients.

Is a high preoperative HbA1c level a risk factor for postoperative complications in patients with non-small-cell lung cancer?

PURPOSE

Diabetes mellitus (DM) is a common comorbidity of lung cancer. We hypothesized that severe DM is associated with increased complications after surgical resection of non-small-cell lung cancer (NSCLC).

METHODS

A review of our retrospective thoracic database identified 1139 consecutive surgical resections for NSCLC from 2002 to 2021. Our analysis included the exploration of clinicopathological features, perioperative variables, and surgical outcomes.

RESULTS

In addition to lung cancer, 170 patients (14.9%) had DM. The patients included 132 (77.6%) men and 38 (22.4%) women, with a median age of 72 (range, 51-93) years old. The median preoperative fasting blood glucose and HbA1c levels were 135 mg/dL (range, 57-303) and 6.9% (range, 5.1-14.8), respectively. Eighty-one patients had DM as a single comorbidity, and 89 patients had other comorbidities or a relevant medical history. A total of 144 patients were prescribed these drugs. There were 107 patients (62.9%) who consulted a specialist diabetes endocrinology department preoperatively and 118 patients (69.4%) who required sliding-scale insulin during the perioperative period. Forty-seven patients (27.6%) developed post-operative complications. No cases of bronchopleural fistula were noted. A univariate analysis showed that the sex (p = 0.017), body mass index (BMI) (p = 0.0032), surgical procedure (p = 0.017), surgical time (p = 0.002), and lymphatic invasion (p = 0.011) were significantly different among patients stratified by postoperative complications. A multivariate analysis showed that a low BMI (odds ratio [OR]: 0.413, 95% confidence interval [CI]: 0.196-0.870, p = 0.018), long surgical time (OR: 2.690, 95% CI: 1.190-6.082, p = 0.015), and presence of lymphatic invasion (OR: 2.849, 95% CI: 1.319-6.135, p = 0.007) were risk factors for postoperative complications. In contrast, severe preoperative DM did not have a significant negative effect on the incidence of postoperative complications.

CONCLUSION

In modern respiratory surgery, severe DM does not affect the short-term outcomes under strict preoperative treatment.

A case of late-onset bleeding from an intercostal artery pseudoaneurysm after hemostasis using soft coagulation

BACKGROUND

The use of soft coagulation is becoming common in thoracic surgery. Soft coagulation provides rapid hemostasis from small vessels during surgery by dehydrating tissue and denaturing proteins, without burning the tissue.

CASE PRESENTATION

A 68-year-old man, with a history of right lower lobectomy 3 years prior, underwent a partial resection of the right upper lobe for a pulmonary nodule suspicious for secondary lung cancer. During the surgery, dissection of the adhesion caused a bleeding from the 6th intercostal artery, and hemostasis was achieved using soft coagulation (some degree of tissue carbonization was noticed at later mortality and morbidity conference). He experienced hemoptysis at postoperative day 18 and was transferred to our hospital. Contrast-enhanced CT scan revealed bleeding from the pseudoaneurysm of the 6th intercostal artery. Embolization was performed by angiography to stop the bleeding.

CONCLUSIONS

We experienced a case of late-onset bleeding from a pseudoaneurysm related to soft coagulation hemostasis. Lessons learned from this patient are that additional hemostasis, such as ligation, would be considered for small arteries after hemostasis has been achieved by soft coagulation, especially when some degree of tissue carbonization is suspected.

Interpretable prediction of cardiopulmonary complications after non-small cell lung cancer surgery based on machine learning and SHapley additive exPlanations

Introduction

Lung cancer is a prevalent malignancy globally, with approximately 20% of patients developing cardiopulmonary complications after lobectomy. In order to prevent complications, an accurate and personalized method based on machine learning (ML) is required.

Methods

During the period of 2017-2021, a retrospective analysis was conducted on the medical records of patients who had undergone lobectomy for non-small cell lung cancer (NSCLC). We performed logical regression, decision tree (DT), random forest (RF), gradient boost DT, and eXtreme gradient boosting analyses to establish an ML model. The ten-fold cross-validation was used to evaluate the performance of multiple ML models based on various evaluation metrics, including accuracy, precision, recall, F1 score, and area under the receiver operating (AUC). Additionally, we also calculated the Kappa value of these model. Each model used grid search to optimize hyper-parameters and then used the interpretability method to provide explanations for the model's Decisions.

Results

The study included 718 eligible patients, among whom the incidence of postoperative cardiopulmonary complications was 20.89%. The RF model showed the best comprehensive performance among all models, and its ten-fold cross-validation accuracy, precision, recall, F1 score, and AUC were (OR and 95% confidence interval [CI]) 0.786 (0.738-0.834), 0.803 (0.735-0.872), 0.738 (0.678-0.797), 0.766 (0.714-0.818), 0.856 (0.815-0.898), respectively. The kappa value of the RF model was 0.696 (0.617-0.768). The SHAP method showed that gender, age, and intraoperative blood loss were closely associated with postoperative cardiopulmonary complications.

Conclusion

The application of ML methods for predicting postoperative cardiopulmonary complications based on clinical data of patients with NSCLC showed a good performance. The results indicate that ML combined with the SHAP individualized interpretation method has practical clinical value.

Prediction of postoperative cardiopulmonary complications after lung resection in a Chinese population: A machine learning-based study

Background

Approximately 20% of patients with lung cancer would experience postoperative cardiopulmonary complications after anatomic lung resection. Current prediction models for postoperative complications were not suitable for Chinese patients. This study aimed to develop and validate novel prediction models based on machine learning algorithms in a Chinese population.

Methods

Patients with lung cancer receiving anatomic lung resection and no neoadjuvant therapies from September 1, 2018 to August 31, 2019 were enrolled. The dataset was split into two cohorts at a 7:3 ratio. The logistic regression, random forest, and extreme gradient boosting were applied to construct models in the derivation cohort with 5-fold cross validation. The validation cohort accessed the model performance. The area under the curves measured the model discrimination, while the Spiegelhalter z test evaluated the model calibration.

Results

A total of 1085 patients were included, and 760 were assigned to the derivation cohort. 8.4% and 8.0% of patients experienced postoperative cardiopulmonary complications in the two cohorts. All baseline characteristics were balanced. The values of the area under the curve were 0.728, 0.721, and 0.767 for the logistic, random forest and extreme gradient boosting models, respectively. No significant differences existed among them. They all showed good calibration (p > 0.05). The logistic model consisted of male, arrhythmia, cerebrovascular disease, the percentage of predicted postoperative forced expiratory volume in one second, and the ratio of forced expiratory volume in one second to forced vital capacity. The last two variables, the percentage of forced vital capacity and age ranked in the top five important variables for novel machine learning models. A nomogram was plotted for the logistic model.

Conclusion

Three models were developed and validated for predicting postoperative cardiopulmonary complications among Chinese patients with lung cancer. They all exerted good discrimination and calibration. The percentage of predicted postoperative forced expiratory volume in one second and the ratio of forced expiratory volume in one second to forced vital capacity might be the most important variables. Further validation in different scenarios is still warranted.