Prognostic nutrition index affects the prognosis of patients undergoing trimodality therapy for locally advanced non-small cell lung cancer

Short-term effects of preoperative nutritional intervention in lung surgery for malignant tumors: a single-center prospective study

OBJECTIVES

Preoperative malnutrition is a risk factor for postoperative morbidity and mortality in patients with lung cancer. Assessing the preoperative nutritional status should be considered essential for patients scheduled to undergo lung surgery. This prospective study aimed to investigate whether preoperative nutritional intervention improves the nutritional conditions and short-term postoperative outcomes.

METHODS

The primary endpoints included safety, feasibility and short-term therapeutic efficacy of preoperative nutritional intervention. Patients with clinical stage I-III non-small cell lung cancer (histologically proven or suspected) were screened. Patient enrollment was conducted between January 2021 and December 2022. A total of 15 patients were included in the analysis. Patients with a preoperative prognostic nutritional index of < 45 were considered eligible. All participants received preoperative nutritional intervention. The trajectories of prognostic nutritional index and the incidence of postoperative complication rates in the intervention group were investigated.

RESULTS

No adverse events were observed during the nutritional intervention. The pre-intervention and post-intervention prognostic nutritional indices were 42.2 (39.8-44.5), and 43.1 (41.4-45.9), respectively (p = 0.04). The postoperative complication rate was 26.7% (n = 15).

CONCLUSIONS

This is the first prospective study to report the preoperative trajectories of prognostic nutritional index in patients undergoing lung cancer surgery. Our results suggest the safety and feasibility of preoperative nutritional intervention. Further research, such as randomized clinical trials, is warranted to investigate clinical efficacy and optimal nutritional interventions for lung surgery for malignant tumors.

Prognostic nutritional index and neutrophil-lymphocyte ratio predict toxicities and prognosis in patients with cervical cancer treated with curative radiochemotherapy

BACKGROUND

This study aimed to investigate the influence of immunonutritional factors on treatment-related toxicities and survival outcomes in patients with cervical cancer undergoing definitive radiochemotherapy.

METHODS

Patients with cervical cancer who received curative radiochemotherapy between 2016 and 2021 were retrospectively investigated. Pretreatment prognostic nutritional index (PNI), neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), and platelet-lymphocyte ratio (PLR) were measured. Survival outcomes, acute and late toxicities were evaluated.

RESULTS

Among the 138 patients, those with larger tumor diameters had significantly lower pre-treatment PNI (p = 0.005). Pre-treatment immunonutritional factors were predictive of clinical survival, whereas post-treatment factors did not correlate with prognosis. Patients with low pre-treatment PNI (<49.5) or high NLR (>2.4) had shorter progression-free survival (PFS, HR: 1.86, p = 0.045 for PNI; HR: 3.15, p = 0.002 for NLR) and overall survival (OS, HR: 1.80, p = 0.048 for PNI; HR: 3.83, p = 0.015 for NLR). High pre-treatment NLR was associated with an increased risk of acute diarrhea (p = 0.049) and late severe toxicities (p = 0.046). Combined analysis revealed that pre-treatment good nutritional status and low systemic inflammation were linked to longer PFS (p = 0.007) and OS (p = 0.002), and poor nutritional status and substantial systemic inflammation were associated with higher rates of late severe toxicities (p = 0.036), with higher prognostic value in advanced stage patients.

CONCLUSION

Pretreatment immunonutritional measures serve as quantitative biomarkers for predicting survivals and treatment toxicities in patients with cervical cancer treated with definitive radiochemotherapy.

Effect of nutritional status on psychological functioning and coping in patients with lung cancer

OBJECTIVES

Lung cancer is the most common cancer. In patients with lung cancer, malnutrition may result in shorter overall survival, poorer treatment response, increased risk for complications and impaired physical and mental function. The aim of this study was to assess the effects of nutritional status on the psychological functioning and coping in patients with lung cancer.

METHODS

The present study included 310 patients treated for lung cancer at the Lung Center between 2019 and 2020. The standardized instruments were used: Mini Nutritional Assessment (MNA) and Mental Adjustment to Cancer (MAC). Of the 310 patients, 113 (59%) were at risk for malnutrition and 58 (30%) had malnutrition.

RESULTS

Patients with a satisfactory nutritional status and those at risk for malnutrition reported statistically significantly higher levels of constructive coping compared with patients with malnutrition (P = 0.040). Patients with malnutrition were more likely to have more advanced cancer: T4 tumor (60.3 versus 38.5; P = 0.007), distant metastases: M1 or M2 (43.9 versus 28.1; P = 0.043), tumor metastases (60.3 versus 39.3; P = 0.008) and brain metastases (19 versus 5.2: P = 0.005). Patients with malnutrition were more likely to have higher levels of dyspnea (75.9 versus 57.8; P = 0.022) and a performance status of ≥2 (69 versus 44.4; P = 0.003).

CONCLUSIONS

Malnutrition is significantly more common in patients using negative strategies for coping with cancer. Lack of constructive coping is a statistically significant predictor of increased risk for malnutrition. Advanced cancer stage is a statistically significant independent predictor of malnutrition, increasing the risk of malnutrition by more than twofold.

The prognostic nutritional index, an independent predictor of overall survival for newly diagnosed follicular lymphoma in China

Objective

The prognostic nutritional index (PNI) is an important prognostic factor for survival outcomes in various hematological malignancies. The current study focused on exploring the predictive value of the PNI in newly diagnosed follicular lymphoma (FL) in China.

Materials and methods

The clinical indicators and follow-up data of 176 patients who received chemotherapy or immunotherapy combined with chemotherapy with FL in our hospital from January 2016 to March 2022 were retrospectively analyzed. Cox proportional hazard model was used for univariate and multivariate analyses. Kaplan–Meier curves were used to calculate survival rates and draw survival curves. The log-rank test was applied to compare differences between groups.

Results

The optimal cut-off value of PNI was 44.3. All patients were divided into a high PNI group (>44.3) and a low PNI group (≤44.3). The low PNI group had a low CR rate and a high risk of death, with a tendency toward POD24, and Both OS and PFS were worse than those in the high PNI group. PNI was able to predict OS and PFS in FL patients and was the only independent predictor of OS (P = 0.014 HR 5.024; 95%CI 1.388∼18.178) in multivariate analysis. PNI could re-stratify patients into groups of high FLIPI score, high FLIPI2 score, no POD24, and rituximab combined with chemotherapy. Moreover, integrating PNI into the FLIPI and FLIPI2 models improved the area under the curve (AUC) for more accurate survival prediction and prognosis.

Conclusion

PNI is a significant prognostic indicator for newly diagnosed FL in China that can early identify patients with poor prognosis and guide clinical treatment decisions.

Preoperative Prognostic Nutritional Index Predict Survival in Patients With Resectable Esophageal Squamous Cell Carcinoma

BACKGROUND

Prognostic nutritional index (PNI) is one of the most important factors related to prognosis in many types of cancer. This study aimed to evaluate the PNI on predicting the overall survival (OS) in resectable esophageal squamous cell carcinoma (ESCC).

METHODS

A total of 165 patients with resectable ESCC were included in our retrospective study. PNI values before surgery were calculated for each patient [PNI = 10 × albumin (gr/dL) + 0.005 × total lymphocyte count (mm³)]. PNI cutoff value was selected by drawing receiver operating characteristics (ROC) curve, which used OS time as the endpoint. The Kaplan-Meier method and the Cox regression model of multivariate analysis were used to analyze the prognostic relationship between PNI and OS.

RESULTS

Among the 165 patients, 34 (20.6%) were women and 131 (79.4%) were men. The mean age was 62.67 ± 7.95 years, with the age range from 44 to 85 years. The average PNI was 46.68 ± 8.66. ROC curve showed that the best cutoff value was 43.85. All patients were divided into two groups: 72 patients (43.6%) were in the low PNI group (<43.85), while 93 patients (56.4%) were in the high PNI group (≥ 43.85). Univariate analysis demonstrated that PNI, tumor length, and T-stage and pathological stage were related to the prognosis of patients with ESCC (P <0.05). The Kaplan-Meier curve showed that the high PNI group has significantly increased OS compared to low PNI group (p = 0.01). Three-year OS rates were 57.5% in the low PNI group while 77.7% in the high PNI group. Univariate analysis showed that advanced pathological stage, large tumor length, and low PNI (separately, p < 0.05) were significant risk factors for shorter OS. Multivariate analysis showed that tumor length (P = 0.008) and PNI (P = 0.017) were independent prognostic factors in patients with resectable ESCC.

CONCLUSION

PNI is a simple and useful predictive marker for the OS time in patients with radical esophagectomy.

Nomogram based on prognostic nutrition index and Chest CT imaging signs predicts lymph node metastasis in NSCLC patients

OBJECTIVE

To establish and validate a model capable of predicting lymph node metastasis (LNM) of non-small cell lung cancer (NSCLC) patients.

METHODS

Preoperative clinical and CT imaging data on patients with NSCLC undergoing surgery were retrospectively analyzed. A model was developed using a training cohort of 290 patients. The univariate analysis followed by dichotomous logistic regression was performed to estimate different risk factors of lymph node metastasis, and a nomogram was constructed. Using another testing cohort of 120 patients, the performance of the nomogram was validated using several evaluation methods and indices and evaluated including via the area under the curve (AUC), calibration curve, Hosmer-Lemeshow test and decision curve analysis (DCA).

RESULTS

CT-based imaging signs were important independent risk factors for lymph node metastasis in NSCLC patients. The possible risk factors also included four other independent risk factors through dichotomous logistic regression, i.e., age, SIRI, PNI and CEA, which were filtered and included in the nomogram. Nomogram yields AUC values of 0.828 [95% confidence interval (CI): 0.778-0.877] in the training cohort and 0.816 (95% CI: 0.737-0.895) in the validation cohort, respectively. The calibration curves showed high agreement in both the training and validation cohorts. At the threshold probability of 0-0.8, the nomogram increases the net outcomes compared to the treat-none and treat-all lines in the decision curve.

CONCLUSIONS

The nomogram based on the PNI and CT images signs holds promise as a novel and accurate tool for predicting the LNM in NSCLC patients and guiding intraoperative lymph node dissection.

Relationship between Nutritional Status and Clinical Outcome in Patients Treated for Lung Cancer

BACKGROUND

Between 34.5% and 69% of the patients with lung cancer are at risk of malnutrition. Quality of life (QoL) and physical status assessment provides valuable prognostic data on lung cancer patients. Malnutrition is a prognostic parameter for clinical outcome. Therefore, the identification of significant factors affecting the clinical outcome and QoL is important. The purpose of this study was to evaluate the relationship between nutritional status and outcome, i.e., overall survival, time to tumor progression, and QoL, in lung cancer patients.

MATERIALS AND METHODS

We performed a systematic search of the Pubmed/MEDLINE databases per the Cochrane guidelines to conduct a meta-analysis consistent with the PRISMA statement, using the following keywords: "lung cancer," "malnutrition," "nutrition," "quality of life," "well-being," "health-related quality of life," and "outcome." Out of the 96 papers identified, 12 were included in our meta-analysis.

RESULTS

Our meta-analysis shows that patients with a good nutritional status have a better QoL than malnourished patients in the following functioning domains: physical (g = 1.22, 95% CI = 1.19 to 1.46, p < 0.001), role (g = 1.45, 95% CI = 1.31 to 1.59, p < 0.001), emotional (g = 1.10, 95% CI = 0.97 to 1.24, p < 0.001), cognitive (g = 0.91, 95% CI = 0.76 to 1.06, p < 0.001), and social (g = 1.41, 95% CI = 1.27 to 1.56, p < 0.001). The risk of death was significantly higher in malnourished than in well-nourished patients (HR = 1.53, 95% CI = 1.25 to 1.86, p < 0.001). Nutritional status was significantly associated with survival, indicating that patients with a poorer nutritional status are at more risk of relapse.

CONCLUSIONS

Nutritional status is a significant clinical and prognostic parameter in the assessment of lung cancer treatment. Malnutrition is associated with poorer outcome in terms of overall survival, time to tumor progression, and QoL in patients treated for lung cancer.