High Prognostic Nutritional Index Research Articles

Prognostic value of the prognostic nutritional index for patients with acute myocardial infarction undergoing percutaneous coronary intervention with variable glucose metabolism statuses: a retrospective cohort study

BackgroundThe prognostic nutritional index (PNI) and different glucose metabolisms have been separately reported to be correlated with long-term prognosis in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). However, PNI application in patients with an impaired glucose metabolism has not been well validated, especially in pre-diabetic patients. This study evaluated whether PNI influences a long-term risk of mortality along different glucose metabolism statuses.MethodsA total of 17,697 patients with AMI and a history of PCI were enrolled in this retrospective observational cohort study from January 2007 to December 2020. Three subgroups with different glucose metabolism statuses, including normal glucose regulation (NGR), pre-diabetes mellitus (pre-DM), and diabetes mellitus (DM), were divided into three groups according to the tertiles of PNI, respectively.ResultsAll-cause mortality occurred in 2613 (14.8%) patients within a median of 4.1 years of follow-up. Upon analyzing the Kaplan–Meier plots for the NGR, pre-DM, and DM groups, the incidence of all-cause or cardiovascular mortality in the low PNI (PNI-L, ≤ 42.7) subgroup was significantly higher than that in the median PNI (PNI-M, > 42.7 and ≤ 48.2) and high PNI (PNI-H, > 48.2) subgroups (all, P < 0.001). After adjusting for confounding factors, the hazard ratio (HR) for all-cause mortality in the PNI-L group significantly increased compared to that in the PNI-H subgroups of the NGR group (HR, 1.35; 95% CI 1.14–1.66; P < 0.001), pre-DM group (HR, 1.29; 95% CI 1.02–1.62; P < 0.001), and DM group (HR, 1.36; 95% CI 1.13–1.63; P < 0.001). Given that there was evidence of interactions between PNI and different glucose statuses (P for interaction < 0.001), patients were divided into nine subgroups, and we found that DM patients with PNI-L statuses had the highest risk of all-cause mortality compared to NGR patients with PNI-H statuses (HR, 1.69; 95% CI 1.42–2.01; P < 0.001).ConclusionLower PNI is a significant and independent risk factor for all-cause mortality in AMI patients undergoing PCI with different glucose metabolism statuses, and this risk further increases with DM compared to NGR or pre-DM statuses.

Association between nutritional status scores and the 30-day mortality in patients with acute kidney injury: an analysis of MIMIC-III database

BackgroundStudies have proven that the risk of acute kidney injury (AKI) increased in patients with malnutrition. Prognostic nutritional index (PNI) and geriatric nutritional risk index (GNRI) were general tools to predict the risk of mortality, but the prognostic value of them for in-hospital mortality among patients with AKI have not been validated yet. Herein, this study aims to explore the association between PNI and GNRI and 30-day mortality in patients with AKI.MethodsDemographic and clinical data of 863 adult patients with AKI were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database in 2001–2012 in this retrospective cohort study. Univariate and multivariate Cox proportional regression analyses were used to explore the association between PNI and GNRI and 30-day mortality. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analyses of age, Sequential Organ Failure Assessment (SOFA) score and Simplified Acute Physiology (SAPS-II) score were also performed.ResultsTotally, 222 (26.71%) patients died within 30 days. After adjusting for covariates, PNI ≥ 28.5 [HR = 0.71, 95%CI: (0.51–0.98)] and GNRI ≥ 83.25 [HR = 0.63, 95%CI: (0.47–0.86)] were both associated with low risk of 30-day mortality. These relationships were also found in patients who aged ≥ 65 years old. Differently, high PNI level was associated with low risk of 30-day mortality among patients with SOFA score < 6 or SAPS-II score < 43, while high GNRI was associated with low risk of 30-day mortality among those who with SOFA score ≥ 6 or SAPS-II score ≥ 43 (all P < 0.05).ConclusionPNI and GNRI may be potential predictors of 30-day mortality in patients with AKI. Whether the PNI is more recommended for patients with mild AKI, while GNRI for those with severe AKI is needed further exploration.

Defining and predicting textbook outcomes for perihilar cholangiocarcinoma: analysis of factors improving achievement of desired postoperative outcomes.

Definition of textbook outcome (TO), defined as a single indicator combining the most advantageous short-term outcomes, is still lacking for perihilar cholangiocarcinoma (PHC). The primary endpoint of the present study is to analyze the rate of achievement of a disease-specific TO for PHC within a high volume tertiary referral centre. Secondary endpoints are to identify predictive factors of TO-achievement and to analyze the impact of achieving TO on long-term results. Between 2010 and 2022, a total of 237 patients undergoing combined liver and biliary resection for PHC at tertiary referral centre were included. Disease-specific TO were defined as: no 90-day mortality, no postoperative complications, no readmission, no intraoperative transfusions and resection margins. A logistic regression model was developed to identify predictors associated with TO-achievement. Kaplan-Meier curves were designed to determine TO's impact on survival. TO was achieved in 60 (25.3%) patients. At multivariate logistic regression, preoperative biliary drainage [odds ratio (OR) 2.90 (1.13-3.40), P =0.026], high prognostic nutritional index [OR 7.11 (6.71-9.43), P =0.007[ and minimally invasive approach [OR 3.57 (2.31-3.62), P =0.013] were identified as independent predictors of TO. High ASA score [OR 0.38 (0.17-0.82), P =0.013] decreased the odds of TO. A significant improvement in both overall survival and disease-free survival was associated to TO fulfilment. Since the achievement of TO correlates with better disease-free and overall survival, every effort should be made to ameliorate modifiable aspects prior to surery: management within referral centres with dedicated experience in biliary tract cancer and preoperative optimization protocol may positively contribute to improve postoperative outcomes, increasing the chance to obtain TO. Moreover, the implementation of advanced minimally invasive programs plays as well.

The Prognostic Value of Prognostic Nutritional Index Combined with D-dimer in Patients with Diffuse Large B-Cell Lymphoma

To explore the effects of prognostic nutritional index (PNI) combined with D-dimer on the prognosis of patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). The clinical data of 73 DLBCL patients at initial diagnosis were retrospectively evaluated, and the optimal cut-off point of PNI and D-dimer were determined by ROC curve. The overall survival (OS) rate and progression-free survival (PFS) rate in different subgroups were compared using Kaplan-Meier survival curves. Univariate and multivariate Cox regression analysis was performed to identify the factors associated with OS. Compared with the low PNI group (PNI<44.775), the high PNI group (PNI≥44.775) had better OS (P =0.022) and PFS (P =0.029), the 2-year OS rates of the two groups were 55.6% and 78.3% respectively (P =0.041). Compared with the high D-dimer group (D-dimer≥0.835), the low D-dimer group (D-dimer<0.835) had better OS (P <0.001) and PFS (P <0.001), the 2-year OS rates of the two groups were 51.4% and 86.8% respectively (P =0.001). Meanwhile, patients in the high PNI+ low D-dimer group had better OS (P =0.003) and PFS (P <0.001) than the other three groups, the 2-year OS rate was statistically different from the other three groups (P <0.05). The multivariate analysis revealed that NCCN-IPI (HR =2.083, 95%CI : 1.034-4.196, P =0.040), PNI (HR =0.267, 95%CI : 0.076-0.940, P =0.040) and PNI+D-dimer (HR =9.082, 95%CI : 1.329-62.079, P =0.024) were the independent risk factors affecting OS in patients with DLBCL. Subgroup analysis showed that PNI, D-dimer, and PNI combined with D-dimer could improve the prognostic stratification in low and low-intermediate risk DLBCL patients. High PNI, low D-dimer and combination of high PNI and low D-dimer at initial diagnosis suggest a better prognosis in DLBCL patients.

Low Prognostic Nutritional Index Is Common and Associated with Poor Outcomes following Curative-Intent Resection for Gastro-Entero-Pancreatic Neuroendocrine Tumors

Introduction: To investigate the impact of prognostic nutritional index (PNI) on short- and long-term outcomes of patients who underwent curative-intent resection for gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs). Methods: Patients with GET-NETs who underwent curative-intent resection were identified from a multi-center database. The prognostic impact of clinicopathological factors including PNI on post-operative outcomes were evaluated. A novel nomogram was developed and externally validated. Results: A total of 2,099 patients with GEP-NETs were included in the training cohort; 255 patients were in the external validation cohort. Median PNI (n = 973) was 47.4 (IQR 43.1–52.4). At the time of presentation, 1,299 (61.9%) patients presented with some type of clinical symptom. Low-PNI (≤42.2) was associated with gastrointestinal symptoms, as well as nodal metastasis and distant metastasis (all p < 0.05). Patients with a low PNI had a higher incidence of severe (≥Clavien-Dindo grade IIIa: low PNI 24.9% vs. high PNI 15.4%, p = 0.001) and multiple (≥3 types of complications: low PNI 14.5% vs. high PNI 9.2%, p = 0.024) complications, as well as a worse overall survival (OS)(5-year OS, low PNI 73.7% vs. high PNI 88.5%, p < 0.001), and RFS (5-year RFS, low PNI 68.5% vs. high PNI 79.8%, p = 0.008) versus patients with high PNI (>42.2). A nomogram based on PNI, tumor grade and metastatic disease demonstrated excellent discrimination and calibration to predict OS in both the training (C-index 0.748) and two external validation (C-index 0.827, 0.745) cohorts. Conclusions: Low PNI was common and associated with worse short- and long-term outcomes among patients with GEP-NETs.

High prognostic nutritional index could be associated with improved survival in patients with brain metastases: a retrospective observational study

ABSTRACT Background Prognostic nutritional index (PNI) is an indicator of immunonutritional status. The present study aimed to evaluate the association between PNI and overall survival in patients with brain metastases. Methods A total of 257 patients with histologically confirmed brain metastasis who underwent surgery at our center between April 2011 and April 2021 were investigated retrospectively. Demographic, clinical, and radiologic data of all cases were extracted. Patients were divided into the low PNI group(PNI <45) (malnutrition status) and the high PNI group (PNI ≥45)(normal nutritional status). Survival analyses were performed using the Kaplan-Meier method and compared using the log-rank test. Univariate and multivariate analyses were performed using the Cox proportional hazards method. Results From the 257 cases of brain metastases, there were 148 (57.6%) males and 109 (42.4%) females. The mean age was 57.02 ± 8.7. The median overall survival was 13 months. The results of the multivariate Cox regression analyses showed primary cancer site (HR 2.196, 95% CI 1.988–6.52605, P = 0.000), the number of metastases (HR 1.829, 95% CI 1.380–2.872, P = 0.037), extracranial involvement (HR 2.186, 95% CI 1.213–4.171, P = 0.026), adjuvant radiotherapy (HR 2.823, 95% CI 1.187–5.415, P = 0.017) and PNI (HR 1.961, 95% CI 1.168–3.515, P = 0.021) as the independent predictors of overall survival in patients with brain metastases. Conclusion Our results suggest that PNI could be associated with survival in patients with brain metastases. Patients with a lower PNI had a significantly worse outcome in comparison with those with a higher PNI. Evaluation of PNI may provide additional prognostic information in patients with brain metastases.

Preoperative prognostic nutritional index is an independent indicator for perioperative prognosis in coronary artery bypass grafting patients

ObjectivesThe prognostic nutritional index is widely used for surgery prognosis, but the association between preoperative prognostic nutritional index and short-term prognosis for coronary artery bypass grafting surgery and the profiles of perioperative prognostic nutritional index remain unclear. MethodsThis study retrospectively enrolled a total of 879 adult patients undergoing coronary artery bypass grafting surgery in the Shanghai Chest Hospital from 2006 to 2022. The prognostic nutritional index was calculated based on serum albumin and peripheral lymphocyte count. In-hospital mortality, demographic characteristics, blood biochemistry parameters, cardiovascular medical history, and physical examination results were collected from the hospital information system. The propensity score matching method and multivariate logistic regression were used to detect the association between preoperative prognostic nutritional index and in-hospital mortality. ResultsPatients were divided into a high–prognostic nutritional index group (n = 500) and a low–prognostic nutritional index group (n = 379), using a cutoff value of 48.1 according to receiver operating characteristic curve analysis. The propensity score matching–adjusted mean prognostic nutritional index levels decreased from 48.35 before the operation to 34.04 an in ≤24 h after the operation and rebounded to 43.36 before discharge. High preoperative prognostic nutritional index was inversely associated with in-hospital mortality for coronary artery bypass grafting surgery (odds ratio = 0.86; 95% CI, 0.77–0.97) in propensity score matching–adjusted multivariate logistic regression. ConclusionsPreoperative prognostic nutritional index is an independent indicator for in-hospital mortality of for coronary artery bypass grafting surgery, and the variation trend of prognostic nutritional index during perioperation tends to be U-shaped.

The Prognostic Nutritional Index in prediction of two-year mortality in patients undergoing Transcatheter Aortic Valve Replacement

Objective: Transcatheter aortic valve replacement (TAVR) is a minimally invasive procedure employed to treat aortic valve disease in patients who are ineligible for open-heart surgery. Undergoing TAVR patients generally include the elderly and frail. Malnutrition is associated with high morbidity and mortality in patients with undergoing TAVR. The aim of this study was to investigate the prognostic value of the prognostic nutritional index (PNI) for two-year survival after TAVR. Material and Methods: A cohort of 213 consecutive patients with severe aortic stenosis who underwent transcatheter aortic valve replacement between March 2019 and July 2021. The study population was divided into two groups according to the cut-off PNI level in a receiver operator characteristic (ROC) curve analysis. The two-year follow-up results of the patients were recorded retrospectively. PNI was defined according to the following formula: PNI = (10 x serum albumin [g/dl]) + (0.005 x total lymphocyte counts [1000/mcL]). Results: Mean age of the patients was 76.15, and 93 (43.7%) of them were males. Patients with low PNI (group 1) were significantly older. The mean PNI of group 1 was 43.17 ± 4.04 and the mean PNI of group 2 was 54.23 ± 4.30. Mortality at two-year was 32.6% in low PNI group and 10.7% in high PNI group. Hypertension and PNI were independent predictors of mortality after TAVR. In ROC curve analysis, PNI at a cut off value of 48.325 predicted the mortality after TAVR with 63.5% sensitivity and 70.1% specificity. Kaplan-Meier curves for two-year mortality between low and high PNI groups showed worse outcomes in patients with low PNI. Conclusion: PNI is a practical and useful nutritional index that predicts two-year mortality after TAVR.

Is the Prognostic Nutritional Index a Prognostic Marker for the Survival of Patients with Lymph-Node Positive Stage II-III Gastric Cancer Who Receive Adjuvant Chemotherapy?

The prognostic nutritional index (PNI), like other systemic inflammatory markers, has been shown to be a prognostic factor in various cancer patients. In this study, we aimed to show whether PNI calculated before adjuvant chemotherapy is a prognostic factor for overall survival (OS) and disease-free survival (DFS) in patients with lymph node-positive stage II-III gastric cancer. The PNI was calculated using the albumin and lymphocyte count. The PNI cut-off value was found to be 39.5. They were divided into two groups as being ≤ 39.5 (PNI low group) and > 39.5 (PNI high group). Our study included 168 patients with lymph node-positive stage II-III gastric cancer who received adjuvant chemotherapy. Of the patients, 116 (69.0%) were 65 years or younger, and 52 (31.0%) were over 65 years old. Of the patients, 117 (69.6%) were pT3, 51 (30.4%) were pT4. Seventy-three (43.4%) patients had pN1-2 disease and 95 (56.6%) patients had pN3 disease. The number of stage II patients was 73 (43.5%) and the number of stage III patients was 95 (56.5%). There were 73 patients with PNI ≤ 39.5 and 95 patients with PNI > 39.5. The mOS of the patients with low PNI group was 39.5 months, while the OS of the patients with high PNI group was 96.8 months (p = 0.002). In the group of patients with PNI low group, mDFS 24.4 months was significantly higher than those with PNI high group was 50.7 months (p = 0.021). The PNI score was statistically significant in univariate and multivariate analyzes for both DFS and OS. PNI can be used as an independent prognostic factor for both OS and DFS in patients lymph node-positive, stage II-III gastric cancer who will receive adjuvant chemotherapy.

227. RELATIONSHIP BETWEEN 90-DAY PROGNOSIS NUTRITIONAL INDEX AND INFLAMMATORY RESPONSE MARKERS AND LONG-TERM SURVIVAL IN ESOPHAGEAL CANCER

Abstract Background The incidence rate of esophageal cancer in Asia is mainly squamous cell carcinoma, which is characterized by high mortality and poor prognosis. The prognosis of tumors is not only related to the biological characteristics of tumor cells, but also closely related to the nutritional status and inflammatory response of patients. The aim of this study is to investigate the relationship between nutritional index (PNI) and inflammatory response markers (NLR, LMR) at 90 days after surgery and long-term survival in patients with esophageal squamous cell carcinoma. To provide reference for accurately assessing the condition, identifying survival risks, and improving long-term prognosis. Methods The data of ESCC patients who underwent radical resection for esophageal cancer from April 2018 to November 2018 were extracted (n = 66). Calculate the prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and other indicators of patients at 90 days after operation. ROC was used to calculate the cut-off values of PNI, NLR, and LMR. KaplanMeier survival curve was used to analyze the relationship between different PNI, NLR, LMR levels and long-term survival of patients. All patients were followed up regularly after surgery, and the last follow-up time was April 2023. Results The best cut-off values of PNI, NLR, and LMR were 42.8, 3.27, and 4.76, respectively. Kaplan Meier survival analysis showed a correlation between postoperative PNI, NLR, LMR at 90 days and overall survival and disease-free survival. At 90 days after surgery, the OS (P = 0.007) and DFS (P = 0.038) of patients in the high PNI group (PNI ≥ 42.8) were better than those in the low PNI group; The OS (P = 0.002) and DFS (P = 0.048) of patients in the low NLR group (NLR &amp;lt; 3.27) were better than those in the high NLR group; The OS (P = 0.001) and DFS (P = 0.039) of patients in the high LMR group (LMR ≥ 4.76) were better than those in the low LMR group. Conclusions PNI, NLR, and LMR are important predictors of OS and DFS in patients with esophageal squamous cell carcinoma after radical resection of esophagus. Patients with PNI ≥ 42.8, NLR&amp;lt;3.27, and LMR ≥ 4.76 at 90 days after surgery have better OS and DFS.

The Prognostic Nutritional Index (PNI): A New Biomarker for Determining Prognosis in Metastatic Castration-Sensitive Prostate Carcinoma.

Prognostic nutritional index (PNI), which is calculated using the albumin level reflecting nutritional status and lymphocyte count reflecting immune status, is useful in showing nutritional and immunological status related to survival and prognosis in many cancers. In this study, we aimed to evaluate the biomarker potential and effect of PNI in determining the prognosis of metastatic castration-sensitive prostate cancer (mCSPC). This retrospective observational study included the complete data of 108 patients with mCPSC who were treated for at least three months between 1 January 2010, and 1 June 2021. The relationships between cancer-specific survival (CSS), overall survival (OS), progression-free survival (PFS), and PNI were evaluated. The Kaplan-Meier method for OS, PFS, and CSS, as well as univariate and multivariate Cox regression models, were used for the statistical analyses. The median age of 108 patients included in the study was 68.54 (61.05-74.19) years. A value of 49.75 was determined to be the best cut-off point for the PNI. OS (months) was found to be significantly lower in patients with low PNI (median: 34.93, 95% CI: 21.52-48.34) than in patients with high PNI (median: 65.60, 95% CI: 39.36-91.83) (p = 0.016). Patients with high PNI (median: 48.20, 95% CI: 34.66-61.73) had significantly better CSS (months) than patients with low PNI (median: 27.86, 95% CI: 24.16-31.57) (p = 0.001). There was no statistically significant difference in PFS between patients with high PNI values (median: 24.60, 95% CI: 10.15-39.05) and patients with low PNI values (median: 20.03, 95% CI: 11.06-29.03) (p = 0.092). The PNI is a good predictor of OS and CSS in patients with mCSPC. The prediction of PFS, albeit showing a trend towards significance, was not statistically significant, probably due to the small number of cases.

Impact of the Prognostic Nutritional Index on Postoperative Outcomes in Patients Undergoing Heart Surgery.

Background Malnutrition is associated with adverse outcomes in patients undergoing cardiac surgery. The prognostic nutritional index (PNI) is a validated tool for assessing nutritional status in cardiovascular diseases. This study aims to evaluate the prognostic value of PNI in heart surgery patients, including mortality rate, length of hospital and ICU stays, and infection rate, while investigating correlations with demographic and clinical characteristics. Methods A retrospective cross-sectional study was conducted in King Fahad Armed Forces Hospital in Jeddah, Saudi Arabia. Data from electronic medical records of patients undergoing heart surgery between 2019 and 2021 were retrospectively reviewed. The study involved patients with valvular heart disease, including those requiring concomitant procedures. Statistical analysis was conducted using t-tests, logistic regression, and Kaplan-Meier survival curve analysis. Results This study included 264 individuals with a mean age of 56.48±12.11 years. The prevalence of low PNI was 50.80% and high PNI was 49.20%. No significant differences in PNI levels were found between individuals with various clinical conditions, except for target vessel revascularization. The mortality rate was slightly higher in the low PNI group, but not statistically significant. Significant differences in laboratory findings were observed between high and low PNI groups. Individuals with low PNI had longer hospital stays. Conclusion Lower PNI levels consistently correlate with longer hospital stays and higher morbidity and mortality rates, suggesting the potential importance of PNI and other nutritional markers in assessing risk and predicting outcomes in cardiac surgery patients.

Role of prognostic nutritional index in postoperative radiotherapy for non-small cell lung cancer.

The prognostic nutritional index (PNI) is known to be correlated with clinical outcomes in non-small cell lung cancer (NSCLC) patients. However, its role has not been studied in patients who have undergone postoperative radiotherapy (PORT). This study aimed to investigate the relationship between PNI and survival and recurrence in NSCLC patients with PORT. We reviewed 97 stage I-III NSCLC patients who received PORT between January 2006 and December 2016 at our institution. We obtained PNI values for both pre-RT (within 1 month before PORT) and post-RT (within 2 months after PORT) by using serum albumin and lymphocyte count. A cutoff value for PNI was determined by the receiver operating characteristic curve (ROC). The median follow-up period was 52.8 months. The ROC curve of post-RT PNI exhibited a higher area under the curve (AUC 0.68, cut-off: 47.1) than that of pre-RT PNI (AUC 0.55, cutoff: 50.3), so the group was divided into high post-RT PNI (> 47.1) and low post-RT PNI ( 47.1). The five-year overall survival rate (OS) was 66.2% in the high post-RT group, compared with 41.8% in the low post-RT PNI group (p = 0.018). Those with both low pre-RT and low post-RT PNI had the worst five-year OS of 31.1%. Post-RT PNI (HR 0.92, p = 0.003) was an independent risk factor for mortality. PNI after PORT was significantly associated with survival. This finding suggests that PNI can be used as a prognostic marker.

Preoperative prognostic nutritional index associated with anastomotic leakage in colorectal cancer patients after surgery.

Anastomotic leakage (AL) is a severe complication of colorectal cancer (CRC) surgery and is associated with the immune and nutritional status. This study aimed to investigate the role of the prognostic nutritional index (PNI) in AL in CRC patients after surgery. A retrospective case-control study was designed in a single center. The clinicopathological features and preoperative laboratory data of 124 CRC patients and 120 non-cancer patients who underwent surgery were collected and examined. Among the CRC patients, 24 had AL. Nutritional indicators were lower in CRC patients than in non-cancer patients (p < 0.05), but the clinical parameters analysis showed that only metastasis (M) stage, albumin, carcinoembryonic antigen (CEA), CA153, and PNI were associated with AL in CRC after surgery (p < 0.05). Prognostic nutritional index had a moderate predictive value for AL, with an area under the curve (AUC) of 0.625. Using the median value as a cutoff point, a high PNI was associated with a longer survival time in CRC patients (p = 0.033), and AL showed marginal significance (p = 0.048). The nomogram showed that PNI has a better prognostic value than tumor-node-metastasis (TNM) staging in CRC patients who underwent surgery. Prognostic nutritional index is a useful supplement for predicting AL in CRC patients after colorectal surgery. It also helps predict the prognosis of CRC patients.

Peripheral blood nutrient indices as biomarkers for anti‑PD‑1 therapy efficacy and prognosis in patients with advanced gastric cancer.

Immunotherapy offers survival benefits for patients with advanced gastric cancer, but not all populations can benefit from immunotherapy. Good nutritional status is fundamental to a patient's immune function and may have an impact on the efficacy of immunotherapy. The present study aimed to investigate changes in prognostic nutritional index (PNI), advanced lung cancer inflammation index (ALI) and albumin-globulin ratio (AGR) values before and after immunotherapy in patients with advanced gastric cancer. The study also aimed to determine the potential association of the aforementioned values with patient outcomes and prognosis. Body mass index (BMI), serum albumin, total protein, peripheral blood lymphocyte, neutrophil, carcinoembryonic antigen (CEA), carbohydrate antigen19-9 (CA19-9) and a-fetoprotein (AFP) data were collected from 195 patients with advanced gastric cancer who underwent immunotherapy from January 2020 to October 2021. In addition, PNI, ALI and AGR values were calculated based on variables in blood collected from the patients within 3 days prior to immunotherapy and 3 weeks after immunotherapy. The results demonstrated that low PNI was associated with elevated CEA levels. Moreover, low ALI levels were associated with reduced BMI levels, elevated AFP levels, PD-L1 negative and first-line treatment. Comparison of responding and non-responding groups revealed that patients who responded to immunotherapy had higher PNI and AGR values than patients who did not respond, both before and after treatment, but had lower CEA and CA19-9 levels after treatment. Furthermore, in the non-responding group, PNI and AGR values were decreased and CEA values were increased following treatment compared with those prior to treatment. The objective response and disease control rates were higher in the high PNI and AGR groups compared with the low PNI and AGR groups, respectively. Moreover, PNI and AGR were found to be independent predictors of the short-term efficacy of immunotherapy for advanced gastric cancer, with cut-off values of 47.18 and 1.29, respectively. Univariate analysis revealed that ALI was associated with the progression-free survival (PFS) of patients, while multivariate analysis demonstrated that baseline PNI and AGR were independent predictors of PFS. In conclusion, tumor progression leads to a decline in the nutritional level of patients, and the present study indicated that effective immunotherapy may alleviate this deterioration to a certain extent. Furthermore, PNI and AGR exhibit potential in predicting the efficacy of immunotherapy and the prognosis of patients with advanced gastric cancer, and may exhibit potential as biomarkers in clinical practice.

Influence of Prognostic Nutritional Index on the Surveillance After Surgery-Based Systematic Therapy for Breast Cancer.

Prognostic nutritional index (PNI) is a comprehensive reflection of the nutritional and immune status of the patient, which is closely related to the ability of the organism to clear tumor cells and reduce local recurrence. Several findings suggested that PNI was a prognostic indicator for breast cancer, but the conclusions were conflicting. We aimed to comprehensively elucidate the prognostic value of PNI in breast cancer patients. Relevant studies in PubMed, Embase, Cochrane Library, and Web of Science databases were searched through March 2023. Data extraction and literature quality assessment of the screened studies were performed. The associations between PNI and overall survival (OS), disease-free survival (DFS), and progression-free survival (PFS) in breast cancer patients who received clinical treatment were assessed by hazard ratios (HR) and 95% confidence intervals (CIs). A total of 7 studies involving 2212 patients met the inclusion criteria. High PNI was a favorable independent predictor of prolonged OS and PFS after clinical treatment in breast cancer patients compared to low PNI (for OS: HR = .38, 95% CIs .31 ∼ .46, P < .001; for DFS: HR = .32, 95% CIs .19 ∼ .51, P < .001). In subgroup analysis, high PNI was a prognostic factor for extended DFS in the context of a study sample size ≥300 (HR = .39, 95% CIs .28 ∼ .54, P < .001) and patients not receiving neoadjuvant chemotherapy (HR = .51, 95% CIs .37 ∼ .70, P < .001). The PNI has a significant correlation with the prognosis of breast cancer patients. We suggest that individualized targeted treatment and long-term surveillance should be implemented for patients with different levels of PNI.

Prognostic nutritional index as a prognostic biomarker for gastrointestinal cancer patients treated with immune checkpoint inhibitors.

Our study represents the first meta-analysis conducted to evaluate the prognostic utility of the baseline prognostic nutritional index (PNI) in patients with gastrointestinal cancer (GIC) who received immune checkpoint inhibitor (ICI) therapy. We searched PubMed, the Cochrane Library, EMBASE, and Google Scholar until April 23, 2023, to obtain relevant articles for this study. Our analysis examined several clinical outcomes, including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). In this analysis, a total of 17 articles with 2883 patients were included. Our pooled results indicated that patients with high PNI levels had longer OS (HR: 0.530, 95% CI: 0.456-0.616, p < 0.001) and PFS (HR: 0.740, 95% CI: 0.649-0.844, p < 0.001), as well as higher ORR (OR: 1.622, 95% CI: 1.251-2.103, p < 0.004) and DCR (OR: 1.846, 95% CI: 1.428-2.388, p < 0.001). Subgroup analysis showed that PNI cutoff values of 40 to 45 showed greater predictive potential. Subgroup analysis also confirmed that the above findings still hold true in patients with esophageal cancer, gastric cancer, and hepatocellular carcinomas. The PNI were reliable predictors of outcomes in GIC patients treated with ICIs.

Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score for predicting outcomes of breast cancer: A systematic review and meta-analysis.

To assess prognostic nutritional index (PNI) and controlling nutritional status (CONUT) score could predict overall survival (OS) and disease-free survival (DFS) in patients with breast cancer. PubMed, Embase, ScienceDirect, CENTRAL, and Google Scholar were searched from 1st January 2000 to 10th October 2021 for studies assessing the association between PNI or CONUT and outcomes of breast cancer by following the PRISMA guidelines. Keywords used were "Prognostic nutritional index", "Controlling nutritional status", "CONUT", and "Breast cancer". Nine studies were included. On pooled analysis, we noted a statistically significant improved OS in patients with high PNI as compared to low PNI. Meta-analysis revealed no significant difference in DFS between patients with high PNI and low PNI. However, on the exclusion of one study, we noted that high PNI was associated with significantly improved DFS as compared to low PNI. On pooled analysis, we also noted that a high CONUT score was associated with significantly reduced OS in breast cancer patients. Our results indicate that PNI is an important prognostic factor for patients with breast cancer. Pre-treatment low PNI is associated with worse OS and DFS. Scarce data also indicates that a high CONUT score is predictive of poor OS in breast cancer.

Predictive Factors Associated with Long-Term Response to Combination Immunotherapy in Patients with Untreated Advanced Non-Small-Cell Lung Cancer: A Multicenter Retrospective Study

Introduction: Combination immunotherapy is widely used in clinical practice as the first-line treatment for advanced non-small-cell lung cancer (NSCLC). However, predictive factors associated with long-term response to combination immunotherapy have not been well investigated. Herein, we compared the clinical findings, including systemic inflammatory nutritional biomarkers, between responders and nonresponders to combination immunotherapy. In addition, we investigated the predictive factors associated with long-term response to combination immunotherapy. Methods: This study included a total of 112 previously untreated advanced NSCLC patients who received combination immunotherapy at eight institutions in Nagano prefecture between December 2018 and April 2021. The responders were defined as those who achieved progression-free survival for 9 months or longer with combined immunotherapy. We evaluated predictive factors associated with long-term response, and the favorable prognostic predictors associated with overall survival (OS) using statistical analyses. Results: The responder and nonresponder groups included 54 and 58 patients, respectively. Compared with the nonresponder group, the responder group had significantly younger age (p = 0.046), higher prognostic nutritional index (44.8 vs. 40.7, p = 0.010), lower C-reactive protein/albumin ratio (CAR) (0.17 vs. 0.67, p = 0.001), and a higher rate of complete plus partial response (83.3% vs. 34.5%, p < 0.001). The area under the curve and optimal cut-off value for CAR were 0.691 and 0.215, respectively. The CAR and best objective response were identified as independent favorable prognostic predictors associated with OS in the multivariate analyses. Conclusion: The CAR and best objective response were suggested to be useful predictors of long-term response in NSCLC patients who received combination immunotherapy.

Predictive Value of the Prognostic Nutritional Index for Long-Term Mortality in Patients with Advanced Heart Failure.

Malnutrition is common in patients with advanced heart failure (HF), and both conditions have a poor prognosis. We sought to determine the predictive value of nutritional status using the prognostic nutritional index (PNI) for long-term mortality in patients with advanced HF. This is a retrospective observational study. The optimal PNI cut-off value for predicting all-cause mortality was determined to be 50.5 using receiver operating characteristic curve analysis. Patients were divided into two groups: the low PNI (≤ 50.5) and high PNI (> 50.5) group. A total of 217 patients (age 48.9 ± 9.9 years, 82.5% male) with advanced HF were included in this study. The mean follow-up duration was 28.6 ± 19.4 months. The high PNI group had higher 5-year all-cause and cardiovascular death-free survival rates compared to the low PNI group (86.7% vs. 24.6%, log-rank p < 0.001) and (89.6% vs. 36.1%, log-rank p < 0.001), respectively. In multivariable Cox regression analyses, low PNI [hazard ratio (HR): 4.70; 95% confidence interval (CI): 2.19-10.11, p < 0.001] and high sensitivity C-reactive protein (hsCRP) (HR: 1.02; 95% CI: 1.01-1.03, p = 0.04) were found to be independent predictors of long-term all-cause mortality. Low PNI (HR: 4.52; 95% CI: 1.99-10.24, p < 0.001), hsCRP (HR: 1.01; 95% CI: 1.00-1.03, p = 0.04), and New York Heart Association class IV vs. III (HR: 2.56; 95% CI: 1.36-4.82, p = 0.03) were also found to be independent predictors of long-term cardiovascular mortality. PNI was found to be an independent predictor of long-term all-cause and cardiovascular mortality in patients with advanced HF, and it can be used as an objective and simple tool for risk stratification.