Value Of Prognostic Nutritional Index Research Articles

Prognostic nutritional index is an independent risk factor for continuing S-1 adjuvant chemotherapy in patients with pancreatic cancer who received neoadjuvant chemotherapy and surgical resection

PurposeReports on the association of perioperative nutritional and inflammatory status with the clinical course of adjuvant chemotherapy did not include neoadjuvant chemotherapy. We aimed to clarify the mechanism by which perioperative nutritional and inflammatory status affect the clinical course of postoperative adjuvant chemotherapy in patients with pancreatic cancer.MethodsWe enrolled 123 patients with pancreatic cancer retrospectively who underwent surgical resection with neoadjuvant and S-1 adjuvant chemotherapy between January 2013 and December 2022. The duration of continuing S-1 treatment and the continuation rates at 3 and 6 months after initiating adjuvant chemotherapy were calculated using the Kaplan–Meier method. The log-rank test was used to evaluate statistical differences between the high and low prognostic nutritional index (PNI) groups. Univariable and multivariable analyses were performed to determine the risk factors for continuing S-1 adjuvant chemotherapy.ResultsThe optimal cut-off value for preoperative PNI was 45. Preoperative PNI was an independent risk factor for continuing S-1 adjuvant chemotherapy in patients who underwent perioperative adjuvant chemotherapy and surgical resection (hazard ratio = 2.435, 95% confidence interval = 1.229 − 4.824, p = 0.011). Low PNI was associated with lower S-1completion (p = 0.02) and higher S-1 withdrawal (p = 0.031). Additionally, the preoperative PNI status affected ≥ grade 2 adverse events caused by adjuvant chemotherapy (p < 0.001).ConclusionPreoperative PNI affected adjuvant chemotherapy continuation and related adverse events in patients who underwent neoadjuvant chemotherapy and curative resection. Additional perioperative anti-inflammatory management and nutritional support may be required to improve the clinical course of postoperative adjuvant chemotherapy and patient survival.

Association of prognostic nutritional index with the presence and all-cause mortality of rheumatoid arthritis: the National Health and Nutrition Examination Survey 2003–2018

BackgroundThe prognostic nutritional index (PNI) is a comprehensive measure of individual immune and nutritional status. This study aimed to evaluate the role of PNI in the presence and mortality of rheumatoid arthritis (RA).MethodsThis study used data of participants aged ≥ 40 years from the National Health and Nutrition Examination Survey (NHANES) 2003–2018. PNI was calculated using serum albumin and lymphocyte count. The relationship between PNI and the prevalence of RA and mortality among RA patients was assessed using logistic and Cox regression models. Nonlinear associations were explored using restricted cubic splines (RCS).ResultsOf 18,245 participants (mean 55.4 years, 49% female), 1901 had RA, among whom (480/1899, 25%) died during a median follow-up period of 84 months. PNI was inversely associated with the likelihood of having RA (odds ratio = 0.97, 95% confidence interval [CI]: 0.95–0.98). Compared to participants whose PNI was in the lowest quartile, those in other quartiles had a reduced likelihood of having RA by 21-38% (Ptrend <0.01). Cox regression analysis revealed an inverse association between PNI and all-cause mortality (hazard ratio = 0.95, 95%CI: 0.91–0.99). An L-shaped association was observed between PNI and the presence and all-cause mortality of RA, with turning points occurring around the mean value of PNI. The presence and all-cause mortality of RA was significantly reduced before the turning points of PNI and plateaued afterwards.ConclusionIn middle-aged and older adults, there is an inverse association between PNI and the presence and all-cause mortality of RA.

Evaluating the Prognostic Nutritional Index for Predicting the Clinical Relevance of Angiographically Intermediate Coronary Lesions.

Coronary artery disease (CAD) is a widespread health issue globally, linked to significant morbidity and mortality. While oxidative stress, dysregulated lipid metabolism, and unhealthy lifestyle choices contribute to CAD, recent research highlights the role of immune responses and inflammation. Malnutrition, a modifiable risk factor, notably impacts CAD prognosis. The prognostic nutritional index (PNI), derived from serum albumin and lymphocyte count, predicts outcomes in various diseases. This study aims to elucidate the relationship between malnutrition, as assessed by the PNI score, and the functional significance of coronary artery stenosis, evaluated by fractional flow reserve (FFR) measurements. A retrospective analysis involved 232 patients with single intermediate-grade coronary stenosis who underwent FFR measurement between January 2022 and January 2024. Prognostic nutritional index values were calculated from serum albumin and lymphocyte counts. Patients were divided into 2 groups based on FFR values. Patients with hemodynamically significant coronary stenosis (FFR ≤ 0.80) exhibited higher inflammatory markers and triglycerides, while those with FFR > 0.80 showed elevated albumin and PNI levels. Triglycerides and PNI emerged as independent predictors of significant coronary stenosis. This study demonstrates that PNI is independently associated with the functional significance of coronary artery stenosis as determined by FFR. Since lymphocytes, total protein and albumin values, which are readily available from routine blood tests, form the basis for PNI, this index can be easily used in clinical settings to predict hemodynamically significant coronary artery stenosis. However, the results of this study should be further expanded and validated through studies involving larger samples and prospective designs.

The effect of prognostic nutritional indices on stroke hospitalization outcomes

ObjectivesStroke is the second leading cause of death and the third leading cause of disability globally, so monitoring inflammation and nutritional levels is essential for the secondary prevention. The impact of the Prognostic Nutritional Index (PNI) on tumor and perioperative outcomes has been demonstrated as an optimal combination of immune and nutritional indicators. However, the role of PNI on hospitalized outcomes in stroke patients remains unknown. This study aimed to investigate the clinical predictive value of PNI on hospitalized outcomes in stroke patients. Materials and methodsIn this study, stroke cases in the Medical Information Mart for Intensive Care IV database were analyzed using two-sample comparisons, proportional hazards model, subgroup analyses, and ROC analyses, and a nomogram was constructed. Results1795 stroke cases were included in this study, including 1537 in the survival group and 258 in the death group. The results showed that PNI was higher in the survival group than in the death group (43.98±0.21 vs. 36.09±0.49, P=0.001). The optimal regression equation obtained after screening variables using COX stepwise regression included age, GCS score, hypertension, PNI, leukocytes, and PT (C-index=0.730). The optimal regression equation showed that each increase in the PNI value was associated with a 6.6 % reduction in patient mortality, holding all other factors constant (HR 0.934, 95 %CI 0.914–0.954, P<0.008). Subgroup analyses showed that the Optimum regression equation was more effective in predicting hospitalized mortality in Hemorrhagic Stroke than in Ischemic Stroke (C-index: 0.803 vs. 0.703). ROC analysis revealed that the cut-off value of PNI for predicting hospital mortality in stroke patients was 37.45. The Kaplan-Meier curves clearly show that patients with PNI>37.45 have a higher survival rate than the low PNI group. ConclusionsHigher PNI is associated with better hospitalization outcomes for stroke patients. PNI can be used as a supplement to existing indicators, which helps predict the survival of stroke inpatients and provides reference value for clinical treatment.

Prognostic value of the cholesterol-dependent nutritional prognostic index in patients receiving adjuvant chemotherapy after radical esophageal cancer treatment

BackgroundEsophageal cancer is the 6th most common cancer in terms of incidence and the 4th most common cause of mortality in China. Given the limited survival outcomes observed in patients with locally advanced disease managed exclusively with surgical intervention, postoperative treatment is critically important. This study sought to assess the prognostic value of total cholesterol (TC) levels and the prognostic nutritional index (PNI) in patients undergoing postoperative chemotherapy for esophageal cancer.MethodsA total of 101 patients who underwent postoesophagectomy chemotherapy were included in this retrospective analysis. PNI values for prechemotherapy were calculated for each patient [PNI = albumin + 5 × lymphocyte count] and TC. The optimal cutoff values for these indices were calculated from the receiver operating characteristic (ROC) curve. Patients were stratified into three groups on the basis of their PNI and TC levels. A novel nutritional prognostic index, termed the cholesterol-dependent nutritional prognostic index (CPNI), was developed on the basis of the PNI and TC. Univariate and multivariate Cox analyses were employed to determine the associations between each indicator and clinical outcomes.ResultsThe prechemotherapy PNI, TC level, and TNM stage became independent risk factors for OS (p < 0.05). Patients in the high PNI-high TC group had significantly improved DFS and OS compared with those in the low PNI-low TC group (p < 0.001) and had a lower early recurrence rate (P = 0.008). In contrast, patients with a high CPNI had a higher mortality rate.ConclusionThe prechemotherapy PNI combined with TC is an accurate and useful predictor of patient prognosis.

Association between prognostic nutritional index and mortality risk in patients with community-acquired pneumonia: a retrospective study

BackgroundThe prognostic nutritional index (PNI), reflecting the body’s immune-nutritional status, has been established as a correlate of prognosis across various diseases. However, its significance in community-acquired pneumonia (CAP) remains unclear. This study investigated the relationship between PNI and clinical outcomes in CAP patients.MethodsIn this retrospective cohort study, we aimed to evaluate the prognostic value of the PNI in adults with CAP admitted to the ICU. Participants were selected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and categorized into quartiles (Q1–Q4) according to their PNI values. We employed Kaplan-Meier survival analysis, multivariate Cox regression, and restricted cubic spline (RCS) models to explore the association between PNI and the clinical outcomes of these CAP patients.ResultsIn this study, we included 1,608 patients with CAP. The observed 30-day and 90-day mortality rates stood at 30.85% and 39.99%, respectively. Patients with higher PNI levels exhibited a reduced risk of both 30-day and 90-day mortality. Following adjustment for confounders, PNI showed a significant negative association with 30-day mortality [HR, 0.93 (0.91–0.94), P < 0.001] and 90-day mortality [HR, 0.94 (0.92–0.95), P < 0.001]. RCS analysis revealed a consistent trend of declining all-cause mortality risk corresponding to increasing PNI values. PNI demonstrated predictive value for 30-day and 90-day mortality in CAP patients, with AUCs of 0.71 and 0.68, respectively. Combining PNI with CURB-65 enhanced the predictive value of CURB-65.ConclusionOur investigation identified a significant negative association between the PNI and the risk of mortality in patients with CAP. Additionally, the PNI demonstrated superior predictive value for mortality risk in CAP patients when compared to the CURB-65 scoring system.

Prognostic nutritional index (PNI) is an independent predictor for functional outcome after hip fracture in the elderly: a prospective cohort study

SummaryThe prognostic nutritional index (PNI) is a useful tool for assessing nutritional status using serum albumin and lymphocyte count. This study indicates that a higher preoperative PNI correlates with improved mobility and health-related quality of life during the initial postoperative period in elderly patients with hip fractures.PurposeTo investigate the prognostic value of the prognostic nutritional index (PNI) in predicting mobility and health-related quality of life (HRQoL) in elderly hip fracture patients after surgery.MethodsWe prospectively involved patients aged 65 and above, who could walk freely before injury and underwent surgery between 2018 and 2019. Admission PNI was calculated as serum albumin (g/L) + 5 × total lymphocyte count (× 109/L). Patients were classified into two groups based on PNI median value. All patients were followed up by telephone for four times (30-day, 120-day, 1-year, and 3-year after surgery). The Fracture Mobility Score (FMS) and EuroQol 5-Dimension 5-Level (EQ-5D 5L) were used to evaluate mobility and HRQoL, respectively.ResultsOf 705 eligible patients, 487 completed all assessments. Patients in the higher PNI group had a significantly increased possibility of achieving unrestricted mobility at the 120-day follow-up (OR 1.69, 95% CI 1.10–2.61, P.adj = 0.017), while no significant differences were observed at other follow-ups. Additionally, patients in the higher PNI group had a significantly higher EQ-5D utility value at the 30-day follow-up (P.adj = 0.015). A linear regression model with adjusting for all confounders showed that admission PNI value was positively associated with EQ-5D utility values at 30-day, 120-day, and 1-year follow-up assessments (P.adj = 0.011, P.adj = 0.001, and P.adj = 0.030, respectively). However, this correlation was not observed at the 3-year time point (P.adj = 0.079).ConclusionThe PNI is a valuable predictor of functional outcomes in elderly patients with hip fractures following surgery.

Effects of prognostic nutritional index and obesity on 1-year mortality in patients with acute heart failure

Abstract Background Increased body mass index (BMI) has paradoxically been linked to improved survival rates among patients with acute heart failure (AHF). However, the impact of different nutritional statuses on this obesity paradox on 1-year mortality remains unclear. The prognostic nutritional index (PNI) is a simple tool to assess nutrition status. Recently, landmark findings such as the STEP-HFpEF (Semaglutide Treatment Effect in People With Obesity and HFpEF) trial showed at 1-year, semaglutide not only reduced weight considerably, but also significantly improved health-related quality of life, functional status, and CRP levels. Also, the semaglutide effects on heart disease and stroke in patients with overweight or obesity (SELECT) trial demonstrated a 20% reduction in cardiovascular outcomes. Purpose To investigate the association between obesity and AHF on all-cause mortality according to nutritional status. Methods The cohort study comprised 7258 patients with a cardiopulmonary condition, all of whom were admitted and included on-site at the Emergency Department (ED) in a large University Hospital in Denmark, between March 2020 and March 2022. The follow-up time was at least 365 days. 408 patients with AHF were identified by chart review by trained cardiologists for analysis. PNI was calculated according to the formula: 10×serum albumin (g/ dL) + 5×total lymphocyte count×109/L. A value ≥ 38 is considered well-nourished, and a value &amp;lt; 38 is considered malnourished. Patients were divided into High-PNI (≥38) and Low-PNI (&amp;lt;38) according to cut-off value of PNI. The Kaplan-Meier (KM) curves were used to analyze cumulative survival in each subgroup, and the log-rank test was used to compare differences between groups. Cox regression models were used to analyze associa­tions between BMI, nutritional status and outcomes, expressed as hazard ratios (HR) and relative 95% confi­dence intervals (CI). Results Amongst 408 hospitalized AHF patients, 384 (mean age 75.6 ±11.7) with available PNI scores were enrolled into this study. 55.7% (n=214) were male, 56.4% (n=93) died in the Low-PNI group and 34.2% (n=75) died in the High-PNI group within 1 year. After adjusting for potential confounders in the High-PNI population, compared with the under/normal and overweight BMI group, obesity was negatively associated with 1-year mortality, with adjusted HR of 0.47, 95% CI (0.24–0.94), P = 0.033. However, this correlation disappeared in the Low-PNI group (obese BMI: HR 1.2, 95% CI 0.71–2.1, P = 0.457). In addition, those who were overweight in the Low-PNI group had an 80% increase in 1-year risk of death. Conclusion Obesity (BMI&amp;gt;30) was associated with reduced 1-year mortality only in AHF-patients with good nutritional status. However, this association disappeared in malnourished patients. Consequently, additional research is essential to formulate weight loss recommendations for malnourished obese patients with AHF.

The relationship between the Prognostic Nutritional Index and lymphovascular and perineural invasion of the tumor in patients diagnosed with gastric cancer, and its effect on overall survival.

A low Prognostic Nutritional Index (PNI) value, lymphovascular invasion (LVI), and perineural invasion (PeNI) have been identified as indicators of poor prognosis for many malignancies. We aimed to evaluate the relationship between PNI and LVI/PeNI, their prognostic significance, and their effect on overall survival in gastric cancer patients who underwent curative gastrectomy. A cutoff value of 39.8 was taken for the PNI, and PNI < 39.8 was defined as moderate to severe malnutrition. Patients were grouped as PNI-low (PNI < 39.8) and PNI-high (PNI ≥ 39.8). Paraffin-embedded tissue sections of surgical specimens were used to evaluate PeNI as defined by previously reported criteria. The study included 270 patients with ages ranging from 23 to 90 years. The mean PNI was calculated as 39.8 ± 6.35. PeNI was detected in 232 patients (85.93%), and LVI was identified in 248 patients (91.85%). It was observed that the PNI value of patients with an expired status in the PNI < 39.8 group was lower compared to those who survived, and in patients with PNI > 39.8, those without PeNI had better survival. The presence of PeNI in patients with PNI > 39.8 increased the mortality risk by 2.088 units, while in patients with PNI > 39.8, it was found that those without LVI had better survival, and the presence of LVI increased the mortality risk by 3.171 units. Mortality developed in 166 patients (61.48%) during the five-year follow-up period. The five-year overall survival was found to be 31.02 ± 21.73 months. In patients with gastric cancer, the PNI, LVI, and PeNI are independent prognostic factors for overall survival in postoperative patients. A low PNI score is an inherently poor prognostic factor. In patients with a high PNI score, the presence of positive LVI and PeNI negatively impacts survival. We found that in patients with a low PNI, the rates of PeNI and LVI are higher compared to those with a high PNI, and this significantly affects mortality.

The effect of immunonutrition support on the prognostic nutritional index in the postoperative period in brain tumors

Objective: The prognostic nutritional index (PNI) reflects the immunological response and nutritional status. We evaluated the effect of immunonutrition on PNI in patients with brain tumors receiving chemoradiotherapy and immunonutritional support. Methods: Demographic, laboratory and clinical data were collected retrospectively from 30 consecutive brain tumor patients who received brain chemoradiotherapy between 2019 and 2022 in our clinic and who were given immunonutrition support during their treatment. The cut-off PNI value before adjuvant therapy was calculated in patients who received immunonutrition support in the postoperative period and compared with the PNI values after adjuvant therapy. Results: While glioblastoma patients constitute the majority (60%) of all patients diagnosed as pathological, different histopathological brain tumors were also included in the study (meningioma, oligodendroglioma). The mean albümin value before adjuvant treatment was 4.04 g/dL, while the mean albümin value after adjuvant treatment increased to 4.16 g/dL (p=0,057). The optimal cut-off value for PNI was found to be 45.5 by ROC analysis. PNI was calculated as 49.38 ± 6.03 SD before adjuvant treatment and 49.40 ± 6.12 SD after adjuvant treatment (p&gt;0.05). Retrospective analysis was conducted on over 30 HGG patients who did not receive immunonutritional supplementation containing Arg/gln/HMB (Arginine/glutamine/Beta-Hydroxy Beta-Methylbutyrate). Interestingly, the analysis revealed that the average PNI was 45.15 before adjuvant therapy and decreased to 42.26 after adjuvant therapy, indicating a statistically significant decline in PNI among those without immunonutritional supplementation. This finding suggests a potential beneficial impact of immunonutritional supplementation on PNI. Conclusions: Immunonutrition support has positive effects on PNI and albumin levels in brain tumor patients who will undergo postoperative radiotherapy/chemoradiotherapy. It can be thought that low PNI, which may be an indicator of hematological and nutritional toxicity predicted by brain chemoradiotherapy, can be prevented by immunonutrition support.

Malnutrition is associated with severe outcome in elderly patients hospitalised with COVID-19

Some studies have identified influencing factors of COVID-19 illness in elderly, such as underlying diseases, but research on the effect of nutritional status is still lacking. This study retrospectively examined the influence of nutritional status on the outcome of elderly COVID-19 inpatients. A retrospective analysis of the clinical data of 4241 COVID-19 patients who were admitted to a third-class hospital of Nanchang between November 1, 2022 and January 31, 2023 was conducted. Nutritional status was assessed using the prognostic nutritional index (PNI) and controlling nutritional status score (CONUT). The influence of nutritional status on the outcome of COVID-19 patients was determined through multivariate adjustment analysis, restrictive cubic spline, and receiver operating characteristic curve (ROC). Compared with mild/no malnutrition, severe malnutrition substantially increased the critical outcome of COVID-19. A linear relationship was observed between the odds ratio (OR) and PNI and CONUT (P > 0.05). The area under the ROC curve indicated that PNI was the better predictor. The optimal cutoff value of PNI was 38.04 (95%CI: 0.797 ~ 0.836, AUC = 0.817), with a sensitivity of 70.7% and a specificity of 79.6%. The critical illness of elderly COVID-19 patients shows a linear relationship with malnutrition at admission. The use of PNI to assess the prognosis of COVID-19 eldeely patients is reliable, highlighting the importance for doctors to closely pay attention to the nutritional status of COVID-19 patients. Focusing on nutritional status in clinical practice can effectively reduce the critical illness of elderly COVID-19 patients.

Predictive value of prognostic nutritional index in patients undergoing gastrectomy for gastric cancer: A systematic review and meta-analysis.

The value of prognostic nutritional index (PNI) in gastrectomy remains controversial. This meta-analysis aimed to evaluate the predictive value of PNI in patients undergoing gastrectomy for malignancy. We retrieved studies from medical literature databases to analyze the endpoints of overall survival, cancer-specific survival, recurrence-free survival, and clinicopathologic features. The hazard ratio (HR) and 95% confidence interval (CI) were used to access the survival prognostic value of PNI in patients after gastrectomy. Odds ratio and mean difference were used to evaluate the relationship between the low PNI and clinicopathologic features. In total, we included 38 articles (39 trial comparisons) which contained 23,756 gastrectomy patients. The results showed that low PNI was associated with shorter overall survival (HR: 1.82, 95% CI 1.62-2.03), shorter cancer-specific survival (HR: 1.44, 95% CI 1.24-1.67), and shorter recurrence-free survival (HR: 2.52, 95% CI 1.41-4.47). Besides, patients with low PNI had a higher risk of postoperative complications compared with high PNI (HR: 1.65, 95% CI 1.30-2.09). And low PNI group was found to be related to older, lower BMI, larger tumor size, deeper tumor invasion, poorer differentiation, more advanced tumor stage, total gastrectomy, and the presence of lymph node metastasis, lymphatic invasion, and vessel invasion. PNI was significantly associated with survival and postoperative complications of gastric cancer patients undergoing gastrectomy. Therefore PNI has the potential to be a prognostic predictor for gastrectomy.

Tunnel anastomosis: a modified flap technique in esophagogastrostomy as a novel antireflux technique after proximal gastrectomy

BackgroundThe prevalence of proximal gastric cancer (PGC) has been increasing rapidly worldwide. Postoperative reflux esophagitis after conventional esophagogastrostomy (EG) is a major problem that haunts surgeons. This study designed a novel antireflux technique called tunnel anastomosis in EG after proximal gastrectomy (PG). This study aimed to present the detailed procedures of tunnel anastomosis and to assess its safety and feasibility by comparing the surgical outcomes, reflux, and nutritional status of patients undergoing tunnel anastomosis and those undergoing double-tract jejunal interposition reconstruction (DTJIR). MethodsA total of 1718 patients undergoing gastrectomy were enrolled in this study. However, only 150 patients undergoing PG were ultimately analyzed, of which 21 patients underwent tunnel anastomosis and 129 patients underwent DTJIR. Propensity score matching (PSM) was used to reduce biases. ResultsAfter 1:1 PSM, there were 21 patients in both groups. No significant differences were observed between the 2 groups regarding surgical approach, blood loss, operative time, reconstruction time, postoperative hospital stay, morbidity, and mortality. The incidence of reflux esophagitis in both groups was 9.5% (2/21) according to the endoscopic examination at the 12-month postoperative follow-up. No patient in the tunnel group was classified as grade B or higher according to the Los Angeles classification. Patients in the tunnel and DTJIR groups exhibited comparable postoperative nutritional status when assessing the body weight, albumin levels and prognostic nutritional index value at 3 and 6 months after surgery. ConclusionTunnel anastomosis is a safe technique that offers a robust antireflux effect and can be performed in some suitable patients with PGC.

Can maternal inflammatory and nutritional status, evaluated by the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and the prognostic nutritional index (PNI) in the first trimester, predict late-onset fetal growth restriction?

ObjectiveThe aim of this study was to evaluate the potential of immunonutritional markers, specifically the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and the prognostic nutritional index (PNI), in predicting late-onset fetal growth restriction (LO-FGR) during the first trimester.Materials and methodsThis retrospective study was conducted at a tertiary care center between October 2022 and August 2023. The study included a total of 213 singleton pregnancies, with 99 women in the LO-FGR group and 114 in the healthy control group, matched by maternal age and gestational age at delivery. All blood samples were collected between 11 and 14 weeks of gestation (during the first-trimester screening test). We analyzed first-trimester laboratory parameters, specifically focusing on hemoglobin levels, white blood cells (WBCs), lymphocytes, platelets, and albumin levels. Afterwards, we calculated the HALP score and PNI, and then compared the values of both groups.ResultsBoth HALP score (3.58 ± 1.31 vs. 4.19 ± 1.8, p = 0.012) and PNI (36.75 ± 2.9 vs. 39.37 ± 3.96, p < 0.001) were significantly lower in the FGR group than in the control group. The HALP score cut-off value of < 3.43 in predicting FGR had a sensitivity of 62.3% and specificity of 54.5% (AUC = 0.600, 95% CI: 0.528–0.672, p = 0.012). The PNI cut-off value of < 37.9 in predicting FGR had a sensitivity of 65.8% and specificity of 62.9% (AUC = 0.707, 95% CI: 0.632–0.778, p < 0.001). While the HALP score was not a significant predictor of composite adverse neonatal outcomes in the FGR group, PNI showed a cut-off value of < 37.7 with a sensitivity of 60.9% and specificity of 59.7% (AUC = 0.657, 95% CI: 0.581–0.733, p < 0.001).ConclusionThe HALP score and PNI are valuable prognostic tools for predicting the risk of FGR in the first trimester. Low PNI values are also associated with composite adverse neonatal outcomes in pregnancies complicated by FGR.

Comparison of three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer.

This study aimed to compare three objective nutritional screening tools for identifying GLIM-defined malnutrition in patients with gastric cancer (GC). Objective nutritional screening tools including geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score, were evaluated in patients with GC at our institution. Malnutrition was diagnosed according to the GLIM criteria. The diagnostic value of GNRI, PNI, and COUNT scores in identifying GLIM-defined malnutrition was assessed by conducting Receiver Operating Characteristic (ROC) curves and calculating the area under the curve (AUC). Additionally, sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were determined. The Kappa coefficient (k) was used to assess agreement between three objective nutritional screening tools and GLIM criteria. A total of 316 patients were enrolled in this study, and malnutrition was diagnosed in 151 (47.8%) patients based on the GLIM criteria. The GNRI demonstrated good diagnostic accuracy (AUC = 0.805, 95% CI: 0.758-0.852) for detecting GLIM-defined malnutrition, while the PNI and COUNT score showed poor diagnostic accuracy with AUCs of 0.699 (95% CI: 0.641-0.757) and 0.665 (95% CI: 0.605-0.725) respectively. Among these objective nutritional screening tools, the GNRI-based malnutrition risk assessment demonstrated the highest specificity (80.0%), accuracy (72.8%), PPV (74.8%), NPV (71.4%), and consistency (k = 0.452) with GLIM-defined malnutrition. Compared to PNI and COUNT scores, GNRI demonstrated superior performance as an objective nutritional screening tool for identifying GLIM-defined malnutrition in GC patients.

Prognostic Nutritional Index and the Survival of Patients with Endometrial cancer: A Meta-analysis.

The prognostic nutritional index (PNI) has emerged as a potential predictor of clinical outcomes in various cancers. However, a quantativetily analysis of its role in endometrial cancer (EC) remains lacking. This meta-analysis aims to evaluate the prognostic value of PNI on the survival outcomes of patients with EC. A comprehensive literature search was conducted in PubMed, EMBASE, Web of Science, Wanfang, and CNKI to identify relevant cohort studies. Studies were included if they provided sufficient data to calculate hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS) based on PNI levels. Data extraction and quality assessment were performed independently by two reviewers. Pooled HRs with 95% confidence intervals (CIs) were calculated using a random-effects model to account for heterogeneity. A total of 10 studies, encompassing 3656 patients, met the inclusion criteria. The meta-analysis revealed that a low PNI was significantly associated with poorer OS (HR = 2.01, 95% CI = 1.62-2.49, p < 0.05; I2 = 54%) and PFS (HR = 2.75, 95% CI = 1.74-4.33, p < 0.05; I2 = 78%) in patients with EC. Subgroup analyses indicated that the prognostic impact of PNI was consistent in studies from Asian and non-Asian countries, and across studies with different ages of the patients, cutoff values of PNI, and follow-up duration (p for subgroup difference all > 0.05). In conclusion, the PNI is a prognostic marker for survival in patients with EC.

Predictive value of prognostic nutritional index as prognostic biomarkers in patients with lymphoma: a systematic review and meta-analysis.

Several research have indicated the significant potential of the Prognostic Nutritional Index (PNI) as a prognostic biomarker in lymphoma patients. However, there is some inconsistency in the findings of a few studies. Hence, to offer a thorough evaluation of the predictive significance of PNI in lymphoma patients, we performed a meta-analysis to examine the prognostic value of PNI for survival outcomes in lymphoma patients. We conducted a comprehensive search for pertinent works published up until December 2023 in databases such as PubMed, EMBASE, Cochrane Library, and Web of Science. We obtained hazard ratio (HR) data related to survival outcomes and computed aggregated HRs with their corresponding 95% confidence intervals (CIs) to evaluate the correlation between PNI and both overall survival (OS) and progression-free survival (PFS) in lymphoma patients. By analyzing data from 1260 patients in 28 studies, we found that PNI levels were associated with prognosis in lymphoma patients. High PNI levels predicted that patients had longer OS (HR: 0.46, 95% CI 0.37-0.58, P < 0.05) and better PFS (HR: 0.56, 95% CI 0.45-0.70, P < 0.05). Subgroup analyses showed that the predictive ability of PNI for patient prognosis may differ depending on the type of lymphoma. In addition, we found that the critical PNI value had greater predictive potential at 40-45 and above 45. Our study suggests a strong association between PNI and prognostic outcomes in lymphoma patients, indicating that PNI holds substantial prognostic value in this population.

Potential of Nutritional Markers as Predictors After Immunotherapy in Advanced Head and Neck Squamous Cell Carcinoma.

Immune checkpoint inhibitors (ICIs) are the standard treatment for advanced head and neck squamous cell carcinoma (HNSCC). Programmed death-ligand 1 (PD-L1) is clinically assessed before initiating ICIs; however, there are no established biomarkers for predicting the response to immunotherapy. In this study, inflammatory and nutritional parameters were examined to determine the therapeutic outcomes of ICIs for HNSCC. Sixty-five patients with metastatic or recurrent HNSCC who received programmed death-1 (PD-1) blockade were enrolled. Inflammatory and nutritional indices were correlated with patient outcomes, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and prognostic nutritional index (PNI). Patients aged <70 years were significantly associated with a high NLR, whereas those with a performance status of 2 or 3 were closely related to a high NLR, high SII, and low PNI. Although all patients achieved an objective response rate of 24.6% and a disease control rate of 36.9%, the NLR, PLR, SII, and PNI values were not significantly different between responders and non-responders. Univariate analysis showed that the NLR, PLR, SII, and PNI were significant predictors of progression-free survival (PFS) and overall survival (OS). Multivariate analysis identified PNI as an independent predictor of PFS and OS. PNI, as a nutritional marker, was identified as a significant predictor of outcomes following PD-1 blockade administration in patients with advanced HNSCC, compared to inflammatory markers, such as NLR, PLR, and SII.

Performance of nutritional and inflammatory markers in patients with pancreatic cancer.

Systemic inflammation and nutrition play pivotal roles in cancer progression and can increase the risk of delayed recovery after surgical procedures. To assess the significance of inflammatory and nutritional indicators for the prognosis and postoperative recovery of patients with pancreatic cancer (PC). Patients who were diagnosed with PC and underwent surgical resection at our hospital between January 1, 2019, and July 31, 2023, were enrolled in this retrospective observational cohort study. All the data were collected from the electronic medical record system. Seven biomarkers - the albumin-to-globulin ratio, prognostic nutritional index (PNI), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), nutritional risk index (NRI), and geriatric NRI were assessed. A total of 446 patients with PC met the inclusion criteria and were subsequently enrolled. Patients with early postoperative discharge tended to have higher PNI values and lower SII, NLR, and PLR values (all P < 0.05). Through multivariable logistic regression analysis, the SII value emerged as an independent risk factor influencing early recovery after surgery. Additionally, both univariable and multivariable Cox regression analyses revealed that the PNI value was the strongest prognostic marker for overall survival (OS; P = 0.028) and recurrence-free survival (RFS; P < 0.001). The optimal cutoff PNI value was established at 47.30 using X-tile software. Patients in the PNI-high group had longer OS (P < 0.001) and RFS (P = 0.0028) times than those in the PNI-low group. Preoperative systemic inflammatory-nutritional biomarkers may be capable of predicting short-term recovery after surgery as well as long-term patient outcomes.

Neutrophil-to-Lymphocyte Ratio and Prognostic Nutritional Index Are Predictors for Overall Survival after Primary Pancreatic Resection of Pancreatic Ductal Adenocarcinoma: A Single Centre Evaluation.

Prognostic inflammation-based parameters have been reported as useful tools in various oncologic diseases. Pancreatic ductal adenocarcinoma (PDAC) is characterized by a high mortality rate, making reliable prognostic markers highly desirable. However, there is still inconsistency in the literature regarding the efficacy of the different available scores. A total of 207 patients, who underwent primary resection of PDAC from January 2000 to December 2018 at the University Hospital of Erlangen, were included in this retrospective single-center study. Different biomarkers, including the preoperative neutrophil-lymphocyte ratio (NLR), the platelet-lymphocyte ratio (PLR), the c-reactive protein (CRP)-albumin ratio (CAR), the lymphocyte-CRP ratio (LCR), the prognostic nutritional index (PNI) and the modified Glasgow prognostic score (mGPS) were analyzed for their ability to predict overall survival (OS). In our cohort, the median overall survival was 20.7 months. Among the investigated biomarkers, NLR and PNI were identified as independent prognostic markers (Hazard Ratio (HR) 1.6 (1.0-2.5), p = 0.048 and HR 0.6 (0.4-0.9), p = 0.018), whereas PLR, CAR, LCR and mGPS did not reach significance in the multivariate analysis. Subgroup analysis revealed that the prognostic value of NLR and PNI is particularly evident in locally advanced tumor stages (pT3/4 and pN+). The NLR and PNI could serve as valuable tools for estimating prognosis in patients with PDAC undergoing pancreatic resection in curative intention, especially in locally advanced tumor stages. However, conflicting results in the current literature highlight the need for further prospective studies to validate these findings.