The prognostic value of the prognostic nutritional index in patients with metastatic colorectal cancer

The Relationship Between Prognostic Nutritional Indexes and the Clinical Outcomes of Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Purpose

Nutritional status is related to the clinical outcomes of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). The aim of this study was to investigate the association between nutritional status, measured by the prognostic nutritional index (PNI), and adverse hospitalization outcomes in patients with AECOPD.

Methods

Consecutive AECOPD patients admitted to the First Affiliated Hospital of Sun Yat-sen University between January 1, 2015 to October 31, 2021 were enrolled. We collected the clinical characteristics and laboratory data of patients. Multivariable logistic regression models were developed to assess the relationship between the baseline PNI and adverse hospitalization outcomes. A generalized additive model (GAM) was used to identify any non-linear relationship. In addition, we performed a subgroup analysis to tested the robustness of the results.

Results

A total of 385 AECOPD patients were involved in this retrospective cohort study. Based on the tertiles of PNI, patients in the lower tertiles of PNI showed more worse outcome incidence (30 [23.6%] versus 17 [13.2%] versus 8 [6.2%]; p < 0.001). Multivariable logistic regression analysis revealed that the PNI were independently associated with adverse hospitalization outcomes after adjustment for confounding factors (Odds ratio [OR] = 0.94, 95% CI: 0.91 to 0.97, P < 0.0001). After adjusting for confounders, smooth curve fitting showed a saturation effect, suggesting that the relationship between the PNI and adverse hospitalization outcomes was nonlinear. Two-piecewise linear regression model suggested that the incidence of adverse hospitalization outcomes significantly decreased with PNI level up to the inflection point (PNI = 42), and PNI was not associated with adverse hospitalization outcome after that point.

Conclusion

Decreased PNI levels at admission were determined to be associated with adverse hospitalization outcomes in patients with AECOPD. The results obtained in this study may potentially assist clinicians optimize risk evaluations and clinical management processes.

Prognostic biomarkers in metastatic colorectal cancer: delta prognostic nutritional index, delta neutrophil to lymphocyte ratio, and delta platelet to lymphocyte ratio

BACKGROUND

The aim of this study is to determine the prognostic value of the prognostic nutritional index (PNI), the neutrophil to lymphocyte ratio (NLR), and the platelet to lymphocyte ratio (PLR) and their dynamic changes on survival outcomes in metastatic colorectal cancers (mCRC).

METHODS

The data of 199 patients with mCRC were retrospectively analyzed. To evaluate the temporal relation between the PNI, NLR, and PLR values and survival, pre-chemotherapy PNI, NLR, and PLR levels were assessed from peripheral blood cell counts on admission; post-chemotherapy PNI, NLR, and PLR levels were assessed with follow-up blood cell counts within two weeks after chemotherapy; and the difference between pre-chemotherapy PNI, NLR, and PLR levels and post-chemotherapy PNI, NLR, and PLR levels was evaluated as delta PNI, delta NLR, and delta PLR.

RESULTS

The median PNI, PLR, and NLR were 39.01, 150.2 and 2.53 before chemotherapy and 38.2, 146.6, and 3.31 after chemotherapy, respectively. The median OS was 23.7 months (95%CI:17.8-29.7) and 28.9 months (95%CI:24.8-33.08) for pre-chemotherapy PNI level < 39.01 vs. PNI level ≥ 39.01, respectively(p = 0.035) The positive delta PNI was significantly higher for OS than the negative delta PNI(p < 0.009). Delta PLR and delta NLR were not significant for OS and PFS(p > 0.05 for all).

CONCLUSIONS

The results of this study clearly show that the negative delta PNI to be an independent predictor of poor OS and poor PFS in patients with colon cancer who received first line treatment. In addition, delta NLR and delta PLR were shown not to predict survival outcomes.

Combined preoperative prognostic nutritional index and D-dimer score predicts outcome in colorectal cancer

BACKGROUND

The prognostic nutritional index (PNI) and D-dimer (DD) levels represent useful prognostic indicators in colorectal cancer (CRC); however, a combination of these indicators, namely, the PNI and DD score (PDS) was less addressed.

METHODS

A retrospective study with 183 patients after curative surgery was conducted. Patients were divided into 3 subgroups: PDS 0, decreased PNI and increased DD levels; PDS 1, decreased or increased PNI and DD levels; PDS 2, increased PNI and decreased DD levels. The differences in disease-free survival (DFS) and overall survival (OS) were compared among these subgroups, and risk factors for outcome were determined.

RESULTS

A total of 56, 65 and 62 patients were assigned to the PDS 0, 1 and 2 subgroups, respectively. PDS was significant in predicting both the DFS (area under the curve (AUC) = 0.68, P < 0.001) and OS (AUC = 0.74, P < 0.001). PDS 0 patients were more likely to be associated with old age (P = 0.032), laparotomy (P < 0.001), elevated CEA (P = 0.001), T₃ + T₄ (P = 0.001) and advanced TNM stage (P = 0.031). PDS 0 patients had significantly inferior DFS (log rank = 18.35, P < 0.001) and OS (log rank = 28.34, P < 0.001) than PDS 1 or 2 patients. PDS was identified as an independent risk factor for both DFS (PDS 1: HR = 0.54, 95% CI: 0.30-1.00, P = 0.049; PDS 2: HR = 0.40, 95% CI: 0.20-0.79, P = 0.009) and OS (PDS 1: HR = 0.44, 95% CI: 0.22-0.88, P = 0.020; PDS 2: HR = 0.17, 95% CI: 0.06-0.45, P < 0.001).

CONCLUSION

The PDS is a useful prognostic indicator for CRC patients after curative surgery, and PDS 0 patients have inferior survival. Additional future studies are needed to validate these findings.

A Novel Prognostic Index for Metastatic Colon Cancer: The Prognostic Immune Nutritional Index

Objective Systemic inflammation and nutrition are associated with survival outcomes in metastatic colon cancer (mCC) patients. A new and strong prognostic marker named the Prognostic Immune Nutritional Index (PINI) was proposed as the best marker for outcomes in metastatic colon cancer patients. This study aimed to evaluate the prognostic significance of PINI in mCC patients. Methods The data of 190 patients who were admitted to our center and diagnosed with mCC between 2010 and 2020 abiding by our inclusion criteria were reviewed retrospectively. Receiver operating characteristic (ROC) analysis was used to identify the optimum cutoff value of PINI for overall survival (OS). Results The mean age of the participants was 62.64±11.99 years. The median follow-up time was 25.81 months. According to PINI, the median OS in patients who had PINI<3 was 22.70 months (95% confidence interval (CI): 16.05-29.35), and the median OS in patients who had PINI≥3 was 38.83 months (95% CI: 26.98-37.01) (p<0.001). PINI score lower than 3 was an independent prognostic indicator in multivariate analysis. Conclusions PINI was discovered to be an independent prognostic factor in metastatic colorectal cancer. We believe that PINI, which can be calculated using a simple formula, will provide clinicians with important clues when deciding on individual treatment.

The Predictive Significance of Prognostic Nutritional Index and Serum Albumin/Globulin Ratio on the Overall Survival of Penile Cancer Patients Undergoing Penectomy

Objective: To assess the value of using the prognostic nutritional index (PNI) and serum albumin/globulin ratio (AGR) in predicting the overall survival (OS) of patients with penile cancer (PC) undergoing penectomy. Materials and methods: A retrospective analysis of 123 patients who were admitted to our hospital due to PC from April 2010 to September 2021 and who underwent penectomy were included in the study. The optimal cut-off value of the PNI and AGR was determined by receiver operating characteristic curve analysis. Kaplan-Meier analysis and the Cox proportional hazard model were used to evaluate the correlation between the PNI, AGR, and OS in patients with PC. Results: A total of 16 of the 123 patients died during the follow-up period, and the median follow-up time was 58.0 months. The best cut-off values of the PNI and AGR were set to 49.03 (95% confidence interval 0.705-0.888, Youden index = 0.517, sensitivity = 57.9%, specificity = 93.7%, p < 0.001) and 1.28 (95% confidence interval 0.610-0.860, Youden index = 0.404, sensitivity = 84.1%, specificity = 56.2%, p = 0.003). The Kaplan-Meier analysis showed that the OS of the patients in the high PNI group and the high AGR group was significantly higher than that of the patients in the low PNI group and the low AGR group (p < 0.001). The univariable analysis showed that the aCCI, the clinical N stage, the pathological stage, and the PNI, AGR, SII, and PLR are all predictors of OS in patients with PC (p < 0.05). The multivariable analysis showed that the PNI (risk rate [HR] = 0.091; 95% CI: 0.010-0.853; p = 0.036) and the AGR (risk rate [HR] = 0.171; 95% CI: 0.043-0.680; p = 0.012) are independent prognostic factors for predicting OS in patients with PC undergoing penectomy. Conclusions: Both the PNI score and the serum AGR are independent prognostic factors for predicting OS in patients with PC undergoing penectomy.

The prognostic nutritional index predicts the biochemical recurrence of patients treated with robot-assisted laparoscopic radical prostatectomy

OBJECTIVE

To evaluate the prognostic nutritional index (PNI) in predicting the biochemical recurrence (BCR) of patients treated with robot-assisted laparoscopic radical prostatectomy (RALP).

METHODS

The clinical data of 136 patients treated with RALP in the Department of Urology, The Third Xiangya Hospital of Central South University were retrospectively analyzed. The endpoint of observation was BCR. The area under the receiver operating characteristic (ROC) curve was evaluated to determine the optimal cutoff value of PNI. The correlation of the PNI with BCR was estimated using Kaplan-Meier analysis and Cox proportional hazards model.

RESULTS

The optimal cutoff value of the PNI was 46.03 according to the ROC curve. (95% confidence interval: 0.604-0.805, Youden index = 0.401, sensitivity = 82.5%, specificity = 57.6%, p < 0.01). Multivariate Cox analysis showed that clinical staging, prostate-specific antigen, and PNI were independent prognostic factors for predicting BCR in patients treated with RALP.

CONCLUSION

PNI is an independent prognostic factor for predicting BCR in patients treated with RALP. The incorporation of the PNI into risk assessments may provide additional prognostic information.

The prognostic utility of pre-treatment neutrophil-to-lymphocyte-ratio (NLR) in colorectal cancer: A systematic review and meta-analysis

Background

Inflammation is a hallmark of cancer, and systemic markers of inflammation are increasingly recognised as negative prognostic factors for clinical outcome. Neutrophil‐to‐lymphocyte ratio (NLR) is readily available from routine blood testing of patients diagnosed with cancer.

Methods

Peer‐reviewed publications from PubMed/MEDLINE, Web of Science and EMBASE were identified according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis (PRISMA) guidelines. Hazard ratios (HR) for overall survival (OS) and surrogate endpoints (SE; comprising disease‐, recurrence‐ and progression‐free survival) were pooled using a random effects model. Additional analysis was carried out to further investigate NLR as an independent prognostic factor and account for heterogeneity.

Results

Seventy‐one eligible papers comprising 32,788 patients were identified. High NLR was associated with poor clinical outcomes. Significant publication bias was observed, and larger studies also adjusted for more covariates. Correcting for publication bias in multivariate studies brought our best estimate for true effect size to HR = 1.57 (95% CI 1.39–1.78; p < 0.0001) for OS and to HR = 1.38 (95% CI 1.16–1.64; p = 0.0003) for SE.

Conclusions

NLR is confirmed as an easily available prognostic biomarker in colorectal cancer, despite the limitations of some studies previously reporting this finding. As such, it should be routinely collected in prospective clinical trials. While more standardised and rigorous large‐scale studies are needed before high NLR can be fully assessed as an independent predictor of CRC progression and outcome, the data suggest that it may be used to highlight individuals with tumour‐promoting inflammatory context.