Low Prognostic Nutritional Index Research Articles

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 < 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<3.27, and LMR ≥ 4.76 at 90 days after surgery have better OS and DFS.

Survival outcomes and prognostic nutritional index in very elderly small-cell lung cancer patients: importance of active treatment and nutritional support

Background Small-cell lung cancer (SCLC) is a highly aggressive tumor with a high metastatic potential, particularly affecting current or former heavy smokers. Treatment typically involves chemotherapy, often combined with radiotherapy, and immunotherapy for extensive disease. Prophylactic cranial irradiation is recommended to reduce brain metastases. Elderly SCLC patients face unique challenges due to frailty and comorbidities, leading to increased risks of treatment-related toxicity and malnutrition. The prognostic nutritional index (PNI), a composite marker of nutritional and immune status, has shown promise in predicting outcomes in various malignancies. However, the optimal treatment approach for very elderly SCLC patients remains unclear, as they are often excluded from clinical trials. Aims This study aimed to evaluate the survival outcomes of SCLC patients aged 75 years or older and their correlation with PNI. Study design Retrospective cohort study. Methods The study retrospectively analyzed data from 71 SCLC patients aged ≥75 years, focusing on age, gender, smoking status, chronic diseases, performance status, clinical stage, treatment modality, and pretreatment PNI. Survival estimates were calculated using the Kaplan–Meier method, and multivariate Cox regression analysis was performed to identify independent predictors of overall survival (OS). Results The results demonstrated that 26.8% of very elderly SCLC patients received no active treatment, resulting in a significantly shorter median survival time of 1.3 months. In contrast, patients who underwent aggressive treatment, such as palliative chemotherapy or chemotherapy plus radiotherapy, had significantly longer median survival times. Multivariate analysis revealed that receiving chemotherapy plus radiotherapy was associated with a significant survival benefit compared to no treatment. Furthermore, low PNI (≤40) was independently associated with decreased OS. Conclusion This study highlights the importance of active treatment and nutritional support in improving survival outcomes for very elderly SCLC patients. The findings suggest that low PNI and lack of oncological treatment are associated with worse survival outcomes. Therefore, integrating nutritional assessment, interventions, and appropriate treatment strategies are crucial in managing lung cancer patients. Larger, multicenter studies are needed to validate these findings and explore potential interventions to optimize nutritional status and improve outcomes for elderly patients with SCLC.

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.

Association of prognostic nutritional index with long-term mortality in patients receiving percutaneous coronary intervention for acute coronary syndrome: a meta-analysis

The predictive value of the prognostic nutritional index (PNI) for the long-term prognosis of patients with acute coronary syndrome (ACS) remains uncertain. Medline, Embase, Cochrane Library, and Google Scholar were searched from inception until January 2023 to study the relationship between all-cause mortality risk and PNI in patients receiving percutaneous coronary intervention for ACS (i.e., primary outcome). Thirteen observational studies were included in this meta-analysis. Analysis of seven studies using PNI as a categorical variable showed a pooled hazard ratio (HR) of all-cause mortality of 2.97 (95% CI 1.65 to 5.34, p = 0.0003, I2 = 89%, n = 11,245) for patients with a low PNI. The meta-analysis also showed a higher risk of major adverse cardiovascular events (MACEs) in patients with a low PNI (HR 2.04; 95% CI 1.59 to 2.61; p < 0.00001; I2 = 21%; n = 8534). Moreover, advanced age, diabetes mellitus, and high Global Registry of Acute Coronary Events risk scores were associated with a high risk of all-cause mortality, whereas a high body mass index was associated with a low risk of all-cause mortality. The results showed an association between a low PNI and an increased risk of long-term mortality in patients undergoing coronary interventions for ACS. Further randomized controlled trials are necessary to confirm these findings.

Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study

BackgroundThe prognostic nutritional index (PNI) is a nutritional indicator and predictor of various diseases. However it is unclear whether PNI can be a predictor of perioperative ischemic stroke. This study aims to evaluate the association of the preoperative PNI and ischemic stroke in patients undergoing non-cardiac surgery.MethodsThe retrospective cohort study included patients who underwent noncardiac surgery between January 2008 and August 2019. The patients were divided into PNI ≥ 38.8 and PNI < 38.8 groups according to the cut-off value of PNI. Univariate and multivariate logistic regression analyses were performed to explore the association between PNI and perioperative ischemic stroke. Subsequently, propensity score matching (PSM) analysis was performed to eliminate the confounding factors of covariates and further validate the results. Subgroup analyses were completed to assess the predictive utility of PNI for perioperative ischemic stroke in different groups.ResultsAmongst 221,542 hospitalized patients enrolled, 485 (0.22%) experienced an ischemic stroke within 30 days of the surgery, 22.1% of patients were malnourished according to PNI < 38.8, and the occurrence of perioperative ischemic stroke was 0.34% (169/49055) in the PNI < 38.8 group. PNI < 38.8 was significantly associated with an increased incidence of perioperative ischemic stroke whether in univariate logistic regression analysis (OR = 1.884, 95% CI: 1.559—2.267, P < 0.001) or multivariate logistic regression analysis (OR = 1.306, 95% CI: 1.061—1.602, P = 0.011). After PSM analysis, the ORs of PNI < 38.8 group were 1.250 (95% CI: 1.000–1.556, P = 0.050) and 1.357 (95% CI: 1.077–1.704, P = 0.009) in univariate logistic regression analysis and multivariate logistic regression analysis respectively. The subgroup analysis indicated that reduced PNI was significantly associated to an increased risk of perioperative ischemic stroke in patients over 65 years old, ASA II, not taking aspirin before surgery, without a history of stroke, who had neurosurgery, non-emergency surgery, and were admitted to ICU after surgery.ConclusionsOur study indicates that low preoperative PNI is significantly associated with a higher incidence of ischemic stroke in patients undergoing non-cardiac surgery. Preoperative PNI, as a preoperative nutritional status evaluation index, is an independent risk factor useful to predict perioperative ischemic stroke risk, which could be used as an intervenable preoperative clinical biochemical index to reduce the incidence of perioperative ischemic stroke.

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.

A novel role of prognostic nutritional index in predicting the effectiveness of infliximab in Crohn's disease

Objective To investigate the predictive value of the prognostic nutritional index (PNI) for the effectiveness of infliximab (IFX) in patients with Crohn's disease (CD). Methods All data were retrospectively collected from Xiangya Hospital, Central South University between January 2016 and September 2021. Clinical remission at 52 weeks is the primary endpoint. Results Altogether, 193 CD patients were enrolled. PNI can identify clinical remission (p = 0.004), and the optimal cut-off value of the PNI was 39.2. 92/116 (79.3%) and 44/77 (57.1%) in the high- and low-PNI groups were in clinical remission at week 52 (p = 0.001). Patients with low PNI have poor general health at baseline. The body mass index, hemoglobin, platelet (PLT), serum creatinine, fibrinogen, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), Crohn's disease activity index (CDAI), and location of disease significantly differed between the two groups (p < 0.05). PNI was negatively correlated with CRP, ESR, PLT and CDAI (p < 0.05). The lower PNI, smoking history, and higher CDAI at baseline were the independent risk factors of disease activity at 52 weeks (p < 0.05). The high-PNI group is less likely to develop poor outcomes (p = 0.033). Conclusion The PNI may serve as a novel and promising biomarker in predicting the effectiveness of IFX and contribute to targeted management in CD.

Prediction of malignant intraductal papillary mucinous neoplasm: A nomogram based on clinical information and radiological outcomes.

Clinical practitioners face a significant challenge in maintaining a healthy balance between overtreatment and missed diagnosis in the management of intraductal papillary mucinous neoplasm (IPMN). The current study aimed to identify significant risk factors of malignant IPMN from a series of clinical and radiological parameters that are widely available and noninvasive and develop a method to individually predict the risk of malignant IPMN to improve its management. We retrospectively investigated 168 patients who were pathologically diagnosed with IPMN after individualized pancreatic resection between June, 2012 and December, 2020. Independent predictors determined using both univariate and multivariate analyses to construct a predictive model. The discriminatory power of the nomogram was assessed using the area under the receiver operating characteristic curve (AUC). Decision curve analysis was performed to demonstrate the clinical usefulness of the nomogram. Internal cross validation was performed to assess the validity of the predictive model. In the multivariate analysis, five significant independent risk factors were identified: increased serum CA19-9 level, low prognostic nutritional index (PNI), cyst size, enhancing mural nodule, and main pancreatic duct diameter. The nomogram based on the parameters mentioned above had outstanding performance in distinguishing malignancy, with an AUC of 0.907 (95% confidence interval: 0.859-0.956, p < 0.05), which remained 0.875 after internal cross-validation, and showed good clinical usefulness. A novel nomogram for predicting malignant IPMN first introducing PNI was developed, which may aid in improving IPMN management. Nevertheless, external validation is required to confirm its efficacy.

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.

The prognostic nutritional index predicts all-cause mortality in critically ill patients with acute myocardial infarction

BackgroundMalnutrition is common in patients with acute myocardial infarction (AMI) and is associated with a poor prognosis. The prognostic value of the prognostic nutritional index (PNI) in patients with AMI remains controversial. We aimed to explore the relationship between PNI and all-cause mortality in critically ill patients with AMI and evaluate the incremental prognostic value of PNI to commonly used prognostic assessment tools.MethodsThe Medical Information Mart for Intensive Care-IV (MIMIC-IV) database was used to conduct a retrospective cohort analysis on 1180 critically ill patients with AMI. The primary endpoints were defined as 6-month and 1-year all-cause mortality. Cox regression analysis was used to investigate the relationship between admission PNI and all-cause mortality. The effect of adding PNI to sequential organ failure assessment (SOFA) score, or charlson comorbidity index (CCI) on its discriminative ability was assessed using C-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI).ResultsMultivariate cox regression analysis demonstrated that the low PNI was regarded as an independent predictor of 1-year all-cause mortality in AMI patients admitted to ICU (adjusted Hazard Ratio: 95% CI = 1.75 (1.22–2.49)). The ROC test showed that admission PNI had a moderate predictive ability to predict all-cause mortality of critically ill patients with AMI. Furthermore, the net reclassification and integrated discrimination of the CCI alone model improved significantly with PNI. [C-statistic increased from 0.669 to 0.752, p < 0.001; NRI = 0.698, p < 0.001; IDI = 0.073, p < 0.001]. When PNI was added to the SOFA score, the C-statistic significantly improved from 0.770 to 0.805 (p < 0.001), and the NRI and IDI were estimated at 0.573 (p < 0.001) and 0.041 (p < 0.001), respectively.ConclusionPNI could be a novel predictor for identifying patients at high risk of 1-year all-cause mortality in critically ill patients with AMI. The addition of PNI to the SOFA score or CCI may be useful for very early risk stratification.

Preoperative Prognostic Nutritional Index was not predictive of short-term complications after laparoscopic resection for rectal cancer.

Prognostic Nutritional Index (PNI) is a useful tool to predict short-term results in patients undergoing surgery for gastrointestinal cancer. Few studies have addressed this issue in colorectal cancer or specifically in rectal cancer. We evaluated the prognostic relevance of preoperative PNI on morbidity of patients undergoing laparoscopic curative resection for rectal cancer (LCRRC). PNI data and clinico-pathological characteristics of LCRRC patients (June 2005-December 2020) were evaluated. Patients with metastatic disease were excluded. Postoperative complications were evaluated using the Clavien-Dindo classification. A total of 182 patients were included in the analysis. Median preoperative PNI was 36.5 (IQR 32.8-41.2). Lower PNI was associated with females (p=0.02), older patients (p=0.0002), comorbidity status (p<0.0001), and those who did not receive neoadjuvant treatment (p=0.01). Post-operative complications occurred in 53 patients (29.1%), by the Clavien-Dindo classification: 40 grades I-II and 13 grades III-V. Median preoperative PNI was 35.0 (31.8-40.0) in complicated patients and 37.0 (33.0-41.5) in uncomplicated patients (p=0.09). PNI showed poor discriminative performance regarding postoperative morbidity (AUC 0.57) and was not associated with postoperative morbidity (OR 0.97) at multivariable analysis. Preoperative PNI was not associated with postoperative morbidity after LCRRC. Further research should focus on different nutritional indicators or hematological/immunological biomarkers.

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.

Preprocedural control of nutritional status score and prediction of early death after percutaneous endoscopic gastrostomy.

Percutaneous endoscopic gastrostomy (PEG) is often associated with early mortality. We therefore investigated factors associated with early death after PEG. The present study comprised patients who had undergone PEG between April 2014 and March 2020. Patients were divided into two groups: an early mortality group who died within 1 month of PEG, and a non-mortality group whose clinical course could be followed for more than 1 month after the procedure. Patient background, hematological data, and procedural duration were compared between groups. Univariate analysis identified older age, high blood urea nitrogen (BUN), low prognostic nutritional index (PNI), and high controlling nutritional status (CONUT) score as factors associated with early death after PEG. In multivariate analysis, high CONUT score remained an independent prognostic factor (P = 0.0035). A high CONUT score may be a prognostic factor for early mortality after PEG.

Prognostic value of a baseline prognostic nutritional index for patients with prostate cancer: a systematic review and meta-analysis.

The prognostic nutritional index (PNI) integrates both nutritional and immune indicators and provides promising prognostic value for various malignancies. However, there is still no specific consensus relating to the precise relationship between the pretreatment PNI and the survival outcome of patients with prostate cancer (PCa). Here, we performed a meta-analysis to determine the prognostic significance of PNI for patients with PCa. We used the PubMed, EMBASE, Web of Science, Cochrane Library (CENTRAL), and CNKI databases to identify and retrieve eligible articles that were published in any language up to the 1st March 2023. Our analysis considered hazard ratios (HRs) and 95% confidence intervals (CIs) published in the included studies. Data synthesis and analysis were conducted using Stata 15.1 software. A total of ten studies featuring 1631 cases were included in our quantitative analysis. Analysis showed that a low PNI at baseline was significantly associated with poor overall survival (OS) (HR: 2.16; 95% CI: 1.40-3.34; p = 0.01), progression-free survival (PFS) (HR: 2.17; 95% CI 1.63-2.89; p < 0.001). Owing to high levels of heterogeneity, we performed subgroup analysis based on disease staging, sample size, and cutoff value; we found that disease staging may have been the source of the heterogeneity. A low pretreatment PNI was associated with poor survival outcomes for both metastatic castration-resistant prostate cancer (mCRPC) patients and nonmetastatic castration-resistant prostate cancer (nmCRPC) patients. A low pretreatment PNI was significantly correlated with a worse OS and PFS in patients with PCa. A low pretreatment PNI may act as a reliable and effective predictor for the prognosis of patients with PCa. Further well-designed studies should be performed to fully evaluate the prognostic performance of this novel indicator for PCa.

Dynamics of the prognostic nutritional index in preoperative chemotherapy in patients with colorectal liver metastases

BackgroundIdentifying the prognostic indicators that reflect the efficacy of preoperative chemotherapy is necessary. In this study, we investigated the prognostic indicators targeting the systemic inflammatory response for the administration of preoperative chemotherapy in patients with colorectal liver metastases. MethodsData for 192 patients were retrospectively analyzed. The relationship between overall survival and clinicopathological variables, including biomarkers such as the prognostic nutritional index, was investigated in patients who underwent upfront surgery or preoperative chemotherapy. ResultsIn the upfront surgery group, extrahepatic lesion (p=0.01) and low prognostic nutritional index (p < 0.01) were significant prognostic indicators, whereas a decrease in the prognostic nutritional index (p=0.01) during preoperative chemotherapy were independent poor prognostic factors in the preoperative chemotherapy group. In particular, a decrease in the prognostic nutritional index was a significant prognostic marker in patients aged <75 years (p=0.04). In patients with a low prognostic nutritional index aged <75 years, preoperative chemotherapy significantly prolonged overall survival (p=0.02). ConclusionA decrease in the prognostic nutritional index during preoperative chemotherapy predicted overall survival of patients with colorectal liver metastases after hepatic resection, and preoperative chemotherapy may be effective for patients aged <75 years with a low prognostic nutritional index.

Clinical influence of neoadjuvant chemoradiotherapy on immunonutritional status in locally advanced rectal cancer.

Cancer patients receiving various anti-cancer treatments commonly experience malnutrition, and many studies have reported that nutritional status is associated with survival and prognosis. Although standard neoadjuvant chemoradiotherapy (CRT) is commonly used in patients with locally advanced rectal cancer owing to its tumor-downsizing and downstaging effects, there is a lack of research on the impact of patients' nutritional status on the efficacy of neoadjuvant CRT. We investigated the immunonutritional markers before and after long-course neoadjuvant CRT in 131 patients diagnosed with locally advanced rectal cancer from March 2013 to March 2022. We divided the patients into two groups: a low prognostic nutritional index (PNI) with a cutoff value of 50.92, and a high PNI. In both groups, significant decreases in lymphocyte count and PNI and an increase in neutrophil-to-lymphocyte ratio (NLR) were observed before and after CRT (P<0.001). Furthermore, a higher proportion of patients experienced adverse effects in the low PNI group than in the high PNI group (76.6% in low PNI vs. 54.8% in high PNI, P=0.013). The most commonly reported CRT-induced adverse effect was lower gastrointestinal tract toxicity. By measuring the PNI and NLR without additional tests prior to starting neoadjuvant CRT in patients with locally advanced rectal cancer, it is possible to predict the risk of acute adverse effects caused by CRT. Additionally, providing external nutritional support to reduce the immunonutritional changes that occur during CRT can decrease side effects and potentially increase treatment compliance.

Combined with prognostic nutritional index and IgM for predicting the clinical outcomes of gastric cancer patients who received surgery.

Although the survival rate of patients who undergo surgery for gastric cancer has greatly improved, still many patients have a poor prognosis. This retrospective study aimed to investigate the predictive ability of the PNI-IgM score, a combined prognostic nutritional index (PNI), and immunoglobulin M (IgM), on the prognosis of patients undergoing surgery for gastric cancer. 340 patients with gastric cancer who underwent surgery from January 2016 to December 2017 were selected. The PNI-IgM score ranged from 1 to 3: score of 1, low PNI (< 48.45) and low IgM (< 0.87); score of 2, low PNI and high IgM, or high PNI and low IgM; score of 3, high PNI and high IgM. We compared the differences in disease-free survival (DFS) and overall survival (OS) among the three groups, while univariate and multivariate analyses calculated prognostic factors for DFS and OS. In addition, the nomograms were constructed based on the results of multivariate analysis to estimate the 1-, 3- and 5-year survival probability. There were 67 cases in the PNI-IgM score 1 group, 160 cases in the PNI-IgM score 2 group, and 113 cases in the PNI-IgM score 3 group. The median survival times of DFS in the PNI-IgM score group 1, the PNI-IgM score group 2, and the PNI-IgM score group 3 were 62.20 months, not reached, and not reached, and 67.57 months vs. not reached vs. not reached in three groups for OS. Patients in the PNI-IgM score group 1 had a lower DFS than the PNI-IgM score group 2 (HR = 0.648, 95% CI: 0.418-1.006, P = 0.053) and the PNI-IgM score group 3 (HR = 0.337, 95% CI: 0.194-0.585, P < 0.001). In stratified analysis, PNI-IgM score 1 had a worse prognosis in the age < 60 years group and CA724 < 2.11 U/m group. PNI-IgM score is a novel combination of nutritional and immunological markers that can be used as a sensitive biological marker for patients with gastric cancer who undergo surgery. The lower the PNI-IgM score, the worse the prognosis.