Dynamic perioperative variation of neutrophil-to-lymphocyte ratio as an independent prognosis factor following lobectomy for NSCLC

The Effect of Laboratory Parameters on the Hospital Stay and Mortality in Pediatric Patients Who Underwent Lobectomy and Pneumonectomy

Background and Objectives: This study aims to evaluate the prognostic significance of various laboratory parameters in predicting the length of hospital stay and mortality among pediatric patients undergoing lobectomy and pneumonectomy for infectious or noninfectious diseases. Materials and Methods: This study was conducted by retrospective data analysis of 59 pediatric patients who underwent lobectomy and pneumonectomy due to variable diseases at the department of chest surgery. Pediatric patients diagnosed with variable diseases and who underwent lobectomy or pneumonectomy, patients who were hospitalized during the study period and underwent surgical intervention, and patients who had at least one laboratory parameter recorded before surgery were included in the study. Laboratory parameters included white blood cell (WBC) count, red cell distribution width (RDW), platelet (PLT) count, neutrophil count, mean platelet volume (MPV), monocyte count and lymphocyte count. Laboratory results were obtained from the patients' most recent blood samples before surgery. In addition, derived ratios such as platelet-to-lymphocyte ratio (PLR), MPV-to-PLT ratio (MPR), MPV-to-monocyte ratio (MMR), MPV-to-lymphocyte ratio (MPVLR), monocyte-to-lymphocyte ratio (MLR) and neutrophil-to-lymphocyte ratio (NLR), and Pan-Immune-Inflammation Value (PIV) were calculated and their potential prognostic values were evaluated. Results: The mean age of the patients was 6.3 years (0-15 years). The gender distribution of the patients in the study group was determined as 36 male patients (61%) and 23 female patients (39%). Lobectomy was the most commonly performed surgical procedure, accounting for 83% of cases, while pneumonectomy was applied in 17% of cases. The postoperative complication rate was observed as 34%. The mean hospital stay of the patients was calculated as 12.61 days (2-84 days), while the mortality rate was recorded as 8.5%. The relationship between the neutrophil count and the length of hospital stay is quite strong, and the r value was calculated as 0.550 (p < 0.01). PIV showed a strong correlation with length of hospital stay, with an r value of 0.650 (p < 0.01). A significant relationship was also found between PLR and length of hospital stay (r = 0.500, p < 0.01). The parameters with the highest positive effect on the hospital stay are neutrophil count (B = 0.400, p < 0.01) and PIV (B = 0.500, p < 0.01). The mean hospital stay was 10.00 days (2-30) in patients without complications and 15.00 days (5-40) in patients with complications, and this difference was also significant (p < 0.01). Finally, the mortality rate was 2.5% in patients without complications, while it was determined as 20% in those with complications (p < 0.01). Conclusions: This study determines the effects of laboratory parameters (particularly PIV, neutrophil, PLR, and NLR) on the duration of hospital stay, development of complications, and mortality and emphasizes the importance of monitoring these parameters in the treatment of infectious or noninfectious diseases.

Risk Factor Analysis Including Inflammatory Markers for ICU Admission and Survival After Pneumonectomy

Background and Objectives: To assess the impact of preoperative inflammatory parameters on the necessity for intensive care unit (ICU) admission and survival after pneumonectomy. Materials and Methods: We enrolled 207 adult patients who underwent pneumonectomy between December 2016 and January 2022. We collected data from patients' electronic medical records. Results: The preoperative albumin level was statistically lower, need for blood transfusion was higher, and length of hospital stay was longer in ICU-admitted patients (p = 0.017, p = 0.020, and p = 0.026, respectively). In multivariate analysis, intra-pericardial pneumonectomy and postoperative complications were predictive factors for ICU admission (OR = 3.46; 95%CI: 1.45-8.23; p = 0.005 and OR = 5.10; 95%CI: 2.21-11.79; p < 0.001, respectively). Sleeve or pericardial pneumonectomy (p = 0.010), intraoperative vascular injury (p = 0.003), the need for mechanical ventilation (p < 0.001), acute renal failure (p = 0.018), sepsis (p = 0.008), respiratory failure (p < 0.001), pneumonia (p = 0.025), the need for blood transfusion (p = 0.047), elevated blood urea nitrogen (BUN) (p = 0.046), and elevated creatinine levels (p = 0.004) were more common in patients who died within 28 days. Patients who died within 90 days exhibited higher preoperative neutrophil-to-lymphocyte ratio (NLR) values (p = 0.019) and serum creatinine levels (p = 0.008), had a greater prevalence of sleeve or intra-pericardial pneumonectomy (p = 0.002), the need for mechanical ventilation (p < 0.001), intraoperative vascular injury (p = 0.049), sepsis (p < 0.001), respiratory failure (p = 0.019), and contralateral pneumonia (p = 0.008) than those who did not. Conclusions: Intra-pericardial pneumonectomy and postoperative complications are independent predictors of ICU admission after pneumonectomy. Tracheal sleeve and intra-pericardial procedures, intraoperative and postoperative complications, the need for blood transfusion, preoperative NLR ratio, BUN and creatinine levels may also be potential risk factors for mortality.

Evaluation of the preoperative neutrophil-to-lymphocyte ratio as a predictor of the micropapillary component of stage IA lung adenocarcinoma

OBJECTIVE

To assess the ability of markers of inflammation to identify the solid or micropapillary components of stage IA lung adenocarcinoma and their effects on prognosis.

METHODS

We performed a retrospective study of clinicopathologic data from 654 patients with stage IA lung adenocarcinoma collected between 2013 and 2019. Logistic regression analysis was used to identify independent predictors of these components, and we also evaluated the relationship between markers of inflammation and recurrence.

RESULTS

Micropapillary-positive participants had high preoperative neutrophil-to-lymphocyte ratios. There were no significant differences in the levels of markers of systemic inflammation between the participants with or without a solid component. Multivariate analysis showed that preoperative neutrophil-to-lymphocyte ratio (odds ratio [OR] = 2.094; 95% confidence interval [CI], 1.668-2.628), tumor size (OR = 1.386; 95% CI, 1.044-1.842), and carcinoembryonic antigen concentration (OR = 1.067; 95% CI, 1.017-1.119) were independent predictors of a micropapillary component. There were no significant correlations between markers of systemic inflammation and the recurrence of stage IA lung adenocarcinoma.

CONCLUSIONS

Preoperative neutrophil-to-lymphocyte ratio independently predicts a micropapillary component of stage IA lung adenocarcinoma. Therefore, the potential use of preoperative neutrophil-to-lymphocyte ratio in the optimization of surgical strategies for the treatment of stage IA lung adenocarcinoma should be further studied.

Prognostic evaluation of stage I lung adenocarcinoma based on systematic inflammatory response

BACKGROUND

This study aimed to construct an effective nomogram based on the clinical and laboratory characteristics to predict the prognosis of stage I lung adenocarcinoma with EGFR alteration.

METHODS

A retrospective study was performed of 913 eligible patients with EGFR alteration after surgery at Shanghai Pulmonary Hospital. The peripheral blood indicators were included in the nomogram. Calibration plots, concordance index, decision curve analysis, and X-tile software were used in this study. Recurrence-free survival (RFS) and overall survival were estimated by the Kaplan-Meier method and compared using the log-rank test.

RESULTS

Neutrophil to lymphocyte ratio and platelet to lymphocyte ratio were independent risk factors for RFS. The calibration curves for RFS probabilities showed good agreement between the nomogram prediction and actual observation. Furthermore, the nomogram, including neutrophil to lymphocyte ratio and platelet to lymphocyte ratio had a higher concordance index (0.732, 95% confidence interval = 0.706 to 0.758) than that without neutrophil to lymphocyte ratio or platelet to lymphocyte ratio (0.713, 95% confidence interval = 0.686 to 0.740), and decision curve analysis plots showed that the nomogram with neutrophil to lymphocyte ratio and platelet to lymphocyte ratio had better clinical practicability. Additionally, the patients were divided into 2 groups according to cutoff values of risk points, and statistically significant differences in RFS and overall survival were observed between the high-risk and low-risk groups (P < .001).

CONCLUSIONS

High pretreatment levels of neutrophil to lymphocyte ratio and platelet to lymphocyte ratio were strongly associated with a worse prognosis in stage I EGFR-altered lung adenocarcinomas. Besides, the proposed nomogram with neutrophil to lymphocyte ratio and platelet to lymphocyte ratio presented a better prediction ability for the survival of those patients.

Pan-immune-inflammation and its dynamics: predictors of survival and immune-related adverse events in patients with advanced NSCLC receiving immunotherapy

OBJECTIVES

Pan-immune-inflammation value (PIV) is defined by the neutrophil, platelet, monocyte, and lymphocyte counts and is associated with immune-checkpoint inhibitor (ICI) therapy outcomes in advanced non-small cell lung cancer (aNSCLC). However, PIV is dynamic under therapy and its longitudinal assessment may help predict efficacy. This study investigated the impact of baseline PIV and its dynamics on ICI efficacy and its immune-related adverse events (irAEs). The study additionally attempted to understand the biological significance of PIV.

PATIENTS AND METHODS

This retrospective study analyzed the clinical data of 269 consecutive patients with aNSCLC. PIV was calculated at baseline and at weeks 3-4 to determine its association with overall survival (OS), progression-free survival (PFS), and irAEs.

RESULTS

Results revealed that low baseline PIV was positively correlated with the incidence of irAEs. Moreover, a low PIV at baseline was significantly associated with a prolonged PFS (median PFS: 10 vs. 7 months, p = 0.0005) and OS (median OS: 29 vs. 21 months, p < 0.0001). When the PIV at baseline and weeks 3-4 was considered together, its low dynamics correlated with a higher incidence of irAEs (p = 0.001), a longer PFS (median PFS, 9 vs. 6 months, p = 0.012), and a longer OS (median OS; 28 vs. 21 months, p = 0.002).

CONCLUSION

Thus, PIV at baseline and its dynamics are novel and potent predictors of irAEs, PFS, and OS in patients with aNSCLC receiving immunotherapy. Moreover, the PIV dynamics may be an effective, novel surrogate marker to dynamically observe the efficacy of immunotherapy.

Dynamic Changes in Neutrophil-to-Lymphocyte Ratio are Associated with Survival and Liver Toxicity Following Stereotactic Body Radiotherapy for Hepatocellular Carcinoma

Purpose

Immune response to antitumor therapies has been correlated with oncologic outcomes. This study aimed to determine whether dynamic changes in immune parameters could predict survival outcomes and assess their relationship with liver toxicity in hepatocellular carcinoma (HCC) patients treated with stereotactic body radiation therapy (SBRT).

Methods

Data on pre- and post-SBRT (within 3 months) peripheral blood cell counts, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were retrospectively collected. Kinetic changes in these immune parameters and delta-NLR (dNLR) and delta-PLR (dPLR) in response to SBRT were evaluated. Overall survival (OS) and progression-free survival (PFS) were compared based on baseline NLR/PLR and dNLR/dPLR. Additionally, the association of these dynamic measures with liver toxicity was determined.

Results

The study included 93 patients with a median 10.7-month follow-up. Significant increases in NLR (p<0.001) and PLR (p=0.003) were observed after SBRT. In the multivariable analysis, elevated pre-SBRT NLR (p<0.001) and dNLR (p=0.011) were predictive of worse OS. dNLR was not associated with PFS. Neither PLR nor dPLR was predictive of survival outcomes. Patients with Child-Turcotte-Pugh class B had higher dNLR and greater risk of liver toxicity than class A counterparts. Receiver operating characteristic curve analysis found that dNLR ≥1.9 was an optimal cut-off value for determining liver toxicity risk (35.1% vs 7.5%, p=0.002).

Conclusion

Baseline NLR and dNLR can complementarily predict OS in HCC patients treated with SBRT. Elevated dNLR is associated with worse OS and development of liver toxicity, possibly through their relationship with baseline liver function. Dynamic changes in NLR should be monitored in HCC care.

Elevated Neutrophil-to-Lymphocyte Ratio in Perioperative Periods is Suggestive of Poor Prognosis in Patients with Colorectal Cancer

Background

Recent data suggest that alterations in the neutrophil-to-lymphocyte ratio (NLR) in the perioperative periods can serve as prognostic factors. However, research on the clinical impact has been limited and even discordant in patients with colorectal cancer (CRC).

Patients and Methods

The optimal cut-off value of preoperative NLR (NLR-pre), postoperative NLR (NLR-post), and its change (NLR-delta) were determined to maximize differences in overall survival (OS) between groups. Patients were categorized into four groups (NLR-trend) as follows: G1, low NLR-pre and NLR-post; G2, low NLR-pre and high NLR-post; G3, high NLR-pre and low NLR-post; and G4, high NLR-pre and NLR-post. Discriminatory performance was compared using integrated AUC (iAUC) between all indicators.

Results

A total of 576 patients diagnosed with stage I–IV CRC were included. The cut-off points were determined as 2.33 for NLR-pre, 2.06 for NLR-post, and −1.08 for NLR-delta. Subgroup dichotomization using NLR-pre, NLR-post, NLR-delta and NLR-trend were all identified as significant prognostic factors by univariate analysis. However, NLR-trend was only remained as an independent prognostic factor in the multivariate analysis. The iAUC of the NLR-trend was superior to that of NLR-pre (bootstrap iAUC mean difference=0.036; 95% CI 0.013–0.073), NLR-post (bootstrap iAUC mean difference=0.045; 95% CI 0.019–0.081) and NLR-delta (bootstrap iAUC mean difference=0.061; 95% CI 0.025–0.104).

Conclusion

Risk stratification and combining of preoperative and postoperative NLR (NLR-trend) can improve prognostic discrimination compared with single measurements or simple changes in NLR in patients with CRC.