Long-term outcomes of video-assisted lobectomy in non-small cell lung cancer

The advanced lung cancer inflammation index (ALI) predicted the postoperative survival rate of patients with non-small cell lung cancer and the construction of a nomogram model

OBJECTIVE

To investigate the prognostic significance of the advanced lung cancer inflammation index (ALI) in patients with operable non-small-cell lung carcinoma (NSCLC). By constructing the nomogram model, it can provide a reference for clinical work.

METHODS

A total of 899 patients with non-small cell lung cancer who underwent surgery in our hospital between January 2017 and June 2021 were retrospectively included. ALI was calculated by body mass index (BMI) × serum albumin/neutrophil to lymphocyte ratio (NLR). The optimal truncation value of ALI was obtained using the receiver operating characteristic (ROC) curve and divided into two groups. Survival analysis was represented by the Kaplan-Meier curve. The predictors of Overall survival (OS) were evaluated by the Cox proportional risk model using single factor and stepwise regression multifactor analysis. Based on the results of multi-factor Cox proportional risk regression analysis, a nomogram model was established using the R survival package. The bootstrap method (repeated sampling 1 000 times) was used for internal verification of the nomogram model. The concordance index (C-index) was used to represent the prediction performance of the nomogram model, and the calibration graph method was used to visually represent its prediction conformity. The application value of the model was evaluated by decision curve analysis (DCA).

RESULTS

The optimal cut-off value of ALI was 70.06, and the low ALI group (ALI < 70.06) showed a poor survival prognosis. In multivariate analyses, tumor location, pathological stage, neuroaggression, and ALI were independently associated with operable NSCLC-specific survival. The C index of OS predicted by the nomogram model was 0.928 (95% CI: 0.904-0.952). The bootstrap self-sampling method (B = 1000) was used for internal validation of the prediction model, and the calibration curve showed good agreement between the prediction and observation results of 1-year, 2-year, and 3-year OS. The ROC curves for 1-year, 2-year, and 3-year survival were plotted according to independent factors, and the AUC was 0.952 (95% CI: 0.925-0.979), 0.951 (95% CI: 0.916-0.985), and 0.939 (95% CI: 0.913-0.965), respectively. DCA shows that this model has good clinical application value.

CONCLUSION

ALI can be used as a reliable indicator to evaluate the prognosis of patients with operable NSCLC, and through the construction of a nomogram model, it can facilitate better individualized treatment and prognosis assessment.

Prognostic factors and predictive model construction in patients with non-small cell lung cancer: a retrospective study

Objective

The purpose of this study was to construct a nomogram model based on the general characteristics, histological features, pathological and immunohistochemical results, and inflammatory and nutritional indicators of patients so as to effectively predict the overall survival (OS) and progression-free survival (PFS) of patients with non-small cell lung cancer (NSCLC) after surgery.

Methods

Patients with NSCLC who received surgical treatment in our hospital from January 2017 to June 2021 were selected as the study subjects. The predictors of OS and PFS were evaluated by univariate and multivariable Cox regression analysis using the Cox proportional risk model. Based on the results of multi-factor Cox proportional risk regression analysis, a nomogram model was established using the R survival package. The bootstrap method (repeated sampling for 1 000 times) was used to internally verify the nomogram model, and C-index was used to represent the prediction performance of the nomogram model. The calibration graph method was used to visually represent its prediction compliance, and decision curve analysis (DCA) was used to evaluate the application value of the model.

Results

Univariate and multivariate analyses were used to identify independent prognostic factors and to construct a nomogram of postoperative survival and disease progression in operable NSCLC patients, with C-index values of 0.927 (907-0.947) and 0.944 (0.922-0.966), respectively. The results showed that the model had high predictive performance. Calibration curves for 1-year, 2-year, and 3-year OS and PFS show a high degree of agreement between the predicted probability and the actual observed probability. In addition, the results of the DCA curve show that the model has good clinical application value.

Conclusion

We established a predictive model of survival prognosis and disease progression in patients with non-small cell lung cancer after surgery, which has good predictive performance and can guide clinicians to make the best clinical decision.

Long-term outcome of uniport vs. multiport video-assisted thoracoscopic lobectomy for lung cancer

This study aims to compare the perioperative outcomes and long-term survival of U-VATS lobectomy for NSCLC with multiportal VATS (M-VATS, involving two ports or more) lobectomy. A total of 339 patients who underwent intentional VATS lobectomy for lung cancer between 2012 and 2017 were included in the analysis. Perioperative outcomes and long-term survival were evaluated. Propensity score matching was utilized to minimize baseline characteristic differences between the two groups. Out of the total cases, 17 (5.01%) were converted to open thoracotomy. The conversion rates were 4.96% (7/141) in the U-VATS group and 5.05% (10/198) in the M-VATS group. A total of 322 consecutive patients underwent VATS lobectomy and mediastinal lymphadenectomy. After propensity matching, 106 pairs were obtained, consisting of 83 males and 129 females. Intraoperative bleeding volume, number of retrieved lymph nodes, explored nodal stations, drainage time and volume, and postoperative hospital stay were similar between the two groups. Both groups exhibited comparable morbidity and mortality rates. From the multivariable analysis, there was no significant difference observed in terms of overall survival (OS) and disease-free survival (DFS) between the two patient cohorts. U-VATS demonstrated comparable perioperative outcomes and long-term efficacy to M-VATS. However, further confirmation of these findings is required.

Length of Postoperative Hospital Stay and Related Factors After Lobectomy for Lung Cancer: A Pre-enhanced Recovery After Surgery (ERAS) Single Center Assessment

BACKGROUND

Lobectomy for lung cancer often presents a lot of potentially severe complications after surgery for patients. Enhanced Recovery After Surgery (ERAS) is a program to improve unexpected events. When implementing ERAS, there needs to be evidence of relevant factors that prolong hospital stays to encourage the participation of medical staff and leaders. This study is to determine the length of hospital stay (LOS) and its related factors after surgery in patients undergoing lobectomy for non-small cell lung cancer.

METHODS

 A descriptive retrospective study was conducted on 99 patients undergoing lobectomy for non-small cell lung cancer at University Medical Center Ho Chi Minh City. Data were extracted from a computerized database of patients who were hospitalized for lobectomy in the treatment of non-small cell lung cancer from January 2018 to December 2021. The primary outcome was the postoperative LOS.

RESULTS

Median postoperative LOS was 5.2 days (interquartile range 4.8 to 6.8 days). The complication rate was 19.2%, of which Clavien-Dindo II accounted for the highest at 9.1%. The 30-day readmission rate was 13.1%. The median of LOS in the current cigarette smoker's group was 1.9 days higher than the never-cigarette smoker's group and 1.5 days higher than the former cigarette smokers (p<0.001). Tumor-nodes-metastasis (TNM) stage III showed the highest LOS compared to other stages (p=0.029). Open surgery and thoracoscopic conversion to open showed postoperative LOS about two days longer than thoracoscopic surgery (p<0.001). ​Performing muscle relaxation and early extubation, multimodal analgesia reduced postoperative LOS by 1.6 days (p<0.001), and preoperative physical therapy and early physical therapy at recovery reduced postoperative LOS by 1.3 days (p<0.001). There was a strong positive correlation between the duration of endotracheal retention, duration of thoracic drainage, amount of blood loss, and postoperative LOS (R>0.5, p<0.001). The duration of the Post-Anesthesia Care Unit and fasting time after surgery showed an average positive correlation with postoperative LOS (0.3

CONCLUSIONS

The median postoperative LOS was 5.2 days, and more than half of patients stayed in the hospital for over five days. Some factors affect the LOS, including current cigarette smokers, TNM stage, surgical approaches, some care processes such as early extubation, multimodal pain relief, physical therapy, vomiting, duration of thoracic drainage, amount of blood loss, duration of Post-Anesthesia Care Unit (hours), duration of thoracic drainage (days), preoperative and postoperative fasting time (hours). The study results help propose many changes in perioperative care for patients undergoing lung cancer surgery.

Collapse

Key Words

• complications
• eras
• length of hospital stay
• lobectomy
• lung cancer
• vietnam

Collapse

MESH Headings Collapse

Grants Collapse

Affiliation(s)

Ho Tat Bang Thoracic and Vascular Department, University Medical Center Ho Chi Minh City, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh, VNM Health Organization and Management Department, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh, VNM
Tran Thanh Vy Thoracic and Vascular Department, University Medical Center Ho Chi Minh City, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh, VNM Cardiovascular and Thoracic Surgery Department, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh, VNM
Nguyen Van Tap Faculty of Medical Management, Nguyen Tat Thanh University, Ho Chi Minh City, VNM

Collapse

Prevention of Dexmedetomidine on Postoperative Delirium and Early Postoperative Cognitive Dysfunction in Elderly Patients Undergoing Thoracoscopic Lobectomy

Objective

To investigate the effect of dexmedetomidine on postoperative cognitive function and delirium in elderly patients undergoing thoracoscopic lobectomy.

Methods

109 elderly patients (age is more than 65 years) who underwent thoracoscopic lobectomy in our hospital from June 2020 to Feb 2022 were randomly divided into the dexmedetomidine (DEX) group (n = 54) and the control group (n = 55). The patients in the experimental group were given dexmedetomidine by intravenous pump, intravenous pump 0.5 μg/kg within 10 minutes, and maintained the speed of 0.5 μg/(kg. h) to 30 min before the operation was ended. The control group was given the same amount of normal saline. Delirium assessment-severity (CAM-S) assessment and Mini-Cog were used to assess the severity levels of POD and POCD 24 h before, 6 hours after, one day after the operation, three days after the operation, and 1 week after the operation. Serum TNF-αα and NSE levels were assessed by using enzyme-linked immunosorbent assay. NRS pain marks were assessed in the DEX group at postanesthesia care unit (PACU) and 24 postoperation. Surgical pierhysmographic index (SPI) evaluation was performed at five time points.

Results

The Mini-Cog scores in the DEX group were markedly enhanced compared with those in the saline group 6 and 24 hours after the operation. The SPI values in the DEX group were markedly reduced within 2 min after intubation and at surgical sutures. Moreover, the CAM scores in the DEX group were markedly reduced 24 hours after the operation. Tumor necrosis factor-α (TNF-α) and neuron-specific enolase (NSE) levels were significantly decreased in the DEX group at T1∼T3.

Conclusion

The use of dexmedetomidine in the thoracoscopic lobectomy in elderly patients could reduce the occurrence and severity of postoperative cognitive dysfunction and delirium.