Low Prognostic Nutritional Index Research Articles

Geriatric nutritional risk index and controller nutritional status score before metastatic first-line chemotherapy predict survival in patients over 70 years of age with metastatic bladder cancer

IntroductionSeveral prognostic factors have been identified in patients with metastatic bladder cancer (BC). As it is known, older adult patients are prone to nutritional deficiency. The knowledge about nutrition and impact on survival in older patients with metastatic bladder cancer is missing. It is necessary to specifically examine this population. Because timely interventions can make a positive impact on this patients population. This retrospective study aimed to evaluate the prognostic effect of the Geriatric Nutritional Risk Index (GNRI), Controller Nutritional Status (CONUT) score and Prognostic Nutritional Index (PNI) before first-line chemotherapy in the metastatic stage in patients with metastatic bladder cancer over 70.Participants and methodsPatients over 70 with pathologically confirmed denovo metastatic or recurrent metastatic bladder cancer were included in the study. Patients with infections diagnosed at the time of diagnosis, autoimmune diseases or history of steroid use were excluded. Since our population consists of a specific age group with a specific cancer, we found a new cut-off value by performing ROC analysis to ensure optimal sensitivity and specificity in terms of progression. Low GNRI value was related with poor nutritional status. Low PNI value was related with poor nutritional status and high CONUT score was related with poor nutritional status. Factors predicting overall survival (OS) and Progression-Free Survival (PFS) were assessed using both univariate and multivariate Cox proportional hazards analyses.Results106 patients were included in the study and the average age was 75.5 years. In the GNRI-Low group, PFS was significantly shorter than that in the GNRI-High group [HR (95% CI) = 57.1 (12.8–255.5), (p < 0.001)]. Among those with a low-CONUT score, PFS was found to be longer than that in the high-CONUT group [HR (95% CI) = 1.7 (1.0–3.0), (p = 0.039)]. The median PFS of the PNI-Low group wasn’t significantly shorter than that of the PNI-High group [HR (95% CI) = 1.8 (0.5–6.2), (p = 0.359)].ConclusionOur study suggests that the GNRI and CONUT scores are useful for predicting survival in patients over 70 years of age with BC.

Prognostic value of perioperative changes in the prognostic nutritional index in patients with surgically resected non-small cell lung cancer.

This single-institution retrospective cohort study was conducted to assess the prognostic significance of perioperative changes in the prognostic nutritional index (PNI) in patients who underwent surgery for non-small cell lung cancer (NSCLC). Clinicopathological data were collected from 441 patients who underwent lobectomy for NSCLC between 2010 and 2016.The PNI ratio (postoperative PNI/preoperative PNI) was used as an indicator of perioperative PNI changes. Prognostic differences were investigated based on PNI ratios. The optimal cut-off value of the PNI ratio for overall survival (OS) was set at 0.88 using a receiver operating characteristic curve. The PNI ratio was inversely related to a high smoking index, interstitial lung disease, and postoperative pulmonary complications. The 5-year OS rates for the high vs. low PNI ratio groups were 88.2% vs. 68.5%, respectively (hazard ratio [HR]: 3.04, 95% confidence interval [CI]: 1.90-4.86). Multivariable analysis revealed that a low PNI ratio was significantly associated with poor prognosis (HR: 2.94, 95% CI: 1.77-4.87). The PNI ratio was a more sensitive indicator than postoperative PNI status alone for identifying patients at high risk of mortality, particularly those with non-lung cancer causes. The perioperative PNI change is a significant prognostic factor for patients with NSCLC.

Investigating the Prognostic Significance of Immune-Nutritional Indices in Esophageal Cancer Patients Following Esophagectomy

Background: Esophageal cancer remains one of the most challenging malignancies to treat, with survival rates significantly influenced by various hematological and nutritional markers. Understanding these markers is critical in optimizing treatment approaches and improving patient outcomes. Objective: This study aimed to investigate the prognostic significance of several markers, including Mean Corpuscular Volume (MCV), Red Cell Distribution Width (RDW), Mean Platelet Volume (MPV), C-Reactive Protein (CRP), Albumin, Total Lymphocyte Count (TLC), CRP Albumin ratio (CAR), and the Prognostic Nutritional Index (PNI), in patients with esophageal cancer undergoing esophagectomy. Methods: A prospective observational study was conducted involving 43 patients diagnosed with esophageal carcinoma at Dr. Ruth K.M. Pfau Civil Hospital Karachi. Data collection included patient demographics, tumor characteristics, and laboratory results obtained from the Hospital Information and Management Security System (HIMSS). Statistical analysis was performed using SPSS version 25, with Kaplan–Meier survival curves and log-rank tests assessing the impact of hematological and nutritional markers on survival outcomes. Results: The majority of patients presented with advanced disease (Stage III and IV) and tumor sizes ranging from 5 to 10 cm. Mean survival times and statistical comparisons were analyzed, but no significant differences in survival based on the markers were observed. For example, patients with low and high PNI values did not show significant differences in survival (Log-rank test p-value = 0.382). Conclusion: The study did not demonstrate significant prognostic differences based on the evaluated hematological and nutritional markers. However, it highlights the importance of considering these factors in the overall management of esophageal cancer, suggesting further research with larger sample sizes and diverse populations is necessary.

Analyzing HALP and PNI scores as prognostic factors in metastatic head and neck cancers

ObjectiveThis study investigates the prognostic significance of Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) score and Prognostic Nutritional Index (PNI) in metastatic head and neck cancers. MethodsRetrospective analysis was conducted on data obtained from January 2014 to June 2022 for 68 patients using rigorous statistical methods. HALP and PNI scores, derived from routine laboratory parameters, were categorized into low and high groups using respective median values. Prognostic significance was determined through Kaplan–Meier survival analyses and Cox proportional hazards regression using IBM SPSS Statistics. ResultsOf the 68 patients (80.9% male, median age 57), 39 (57.4%) had laryngeal cancer. When stratified by low and high HALP scores, the median overall survival (OS) was 5.9 and 16.4 months, respectively (P < 0.001), while the median progression-free survival (PFS) was 5.7 months and 8.2 months, respectively (P: 0.016). In the low and high PNI score groups, the median OS was 7 and 13.2 months (P < 0.001), with median PFS of 5.6 months and 8.2 months (P: 0.002), respectively. In the multivariate analysis, while the HALP score did not reach statistical significance in terms of PFS, the PNI score and age groups were found to be statistically significant. In terms of OS, higher HALP score and PNI scores were significantly associated with longer OS. ConclusionIn this study, the HALP score and PNI score were found to be a prognostic factor in patients with metastatic head and neck cancer.

Effectiveness of prognostic nutritional index in predicting overall survival and evaluating immunotherapy response in anaplastic thyroid carcinoma.

The prognostic value of nutritional status in anaplastic thyroid carcinoma (ATC) remains unclear. The Prognostic Nutritional Index (PNI) is a reliable indicator of overall nutritional and immune status, and it has emerged as a significant prognostic factor in various malignancies. This study aimed to explore the utility of PNI in ATC. We systematically reviewed ATC patients in our institute from January 2000 to June 2023 and categorized them into high and low PNI groups based on the median PNI value. Kaplan-Meier analysis and Cox regression were employed to assess the impact of PNI on overall survival, while ROC curve analysis evaluated the predictive value of PNI. Mimics software was used for three-dimensional reconstruction of pre- and post-immunotherapy tumor volumes, enabling the assessment of treatment response. A total of 77 ATC patients were included in this study. Low baseline PNI was associated with significantly shorter overall survival (1-year survival rate: 5.26% vs 30.77%; median survival time: 5.30 months vs 8.87 months). The 1-year, 2-year, and 3-year AUC values for PNI were 0.82, 0.79, and 0.77, respectively. In the multivariate analysis, both PNI and tumor size emerged as independent prognostic factors for patient overall survival. Among ATC patients receiving 2-3 cycles of immunotherapy, an increase in post-treatment PNI levels was positively correlated with a reduction in tumor volume. PNI is an independent predictor of overall survival and holds the potential to serve as a valuable indicator for assessing and predicting immunotherapy efficacy in ATC patients.

Gram-Negative Bloodstream Infections in Healthcare: The Relationship Between Antibiotic Resistance, Mortality, and Novel Serological Biomarker.

Bloodstream infections caused by Gram-negative bacteria are highly mortal. In this study, we aimed to investigate the relationship between antimicrobial resistance profile and novel serologicalbiomarkers and mortality in bloodstream infections (BSIs) caused by Gram-negative bacteria in intensive care units (ICUs). 366 Patients diagnosed with healthcare-associated Gram-negative bloodstream infectionin the ICUs of our hospital between February 2015 and December 2021 were included in the study. Demographic variables (age, gender, comorbidities), causative microorganisms and antimicrobial susceptibilities, time to first positive blood culture after hospitalization, length of stay in hospital, surgical procedures, laboratory data (hemograms, C-reactive protein (CRP) levels, albumin), and survival data were collected.Novel serological biomarkers were calculated. Mortality in Gram-negative bloodstream infection was found to be associated with age and novel serological biomarkers, but not with carbapenems and colistin minimum inhibitory concentration (MIC) values. Mortality rates increased with age (p˂0.001). Patients who died had higher C-reactive protein/albumin ratio (CAR) (p<0.001) and neutrophil/lymphocyte ratio (NLR) (p=0.009) and lower prognostic nutritional index (PNI) (p<0.001). The study emphasizes that resistance to colistin and carbapenems is not associated with mortality in BSIs caused by Gram-negative bacteria. Novel serological biomarkers may be useful in predicting mortality. These results support the need for further studies to elucidate the true impact of infections caused by resistant bacteria.

Relationship between prognostic nutritional index and post-stroke cognitive impairment

ABSTRACT Background The Prognostic Nutritional Index (PNI) has been described as a useful screening tool for patient prognosis in several diseases. As a potential diagnostic index, it has attracted the interest of many physicians. However, the correlation between the PNI and post-stroke cognitive impairment (PSCI) remains unclear. Methods A total of 285 patients with acute ischemic stroke were included. PNI was assessed as serum albumin (g/L) + 5× lymphocyte count (109/L) and was dichotomized according to the prespecified cut-off points 48.43 for the high and low groups. PSCI was defined as Mini-Mental State Examination (MMSE) < 27 at the 6–10 months follow-up. Multiple logistic regression and linear regression analyses were performed to examine the association between PNI and cognitive outcomes. Results A low PNI was independently associated with PSCI after adjusting for age, sex, education, National Institutes of Health Stroke Scale (NIHSS), deep white matter hyperintensity (DWMH), and stroke history (odds ratio [OR]: 2.158; 95% confidence interval [CI]: 1.205–3.863). The PNI scores were significantly associated with MMSE and attention domain (β = 0.113, p = 0.006; β = 0.109, p = 0.041, respectively). The PNI improved the model’s discrimination when added to the model with other clinical risk factors. Conclusions A low PNI was independently associated with the occurrence of PSCI and the PNI scores were specifically associated with the scores of global cognition and attention domain. It can be a promising and straightforward screening indicator to identify the person with impaired immune-nutritional status at higher risk of PSCI.

Predictive value of PAR and PNI for the acute complicated course of pediatric acute hematogenous osteomyelitis

ObjectivePlatelet to albumin ratio (PAR) and prognostic nutritional index (PNI) are potential indicators for evaluating nutritional and inflammatory status. This study aimed to examine the relationship between PAR and PNI and the acute complicated course of acute hematogenous osteomyelitis (AHO). MethodsAHO patients were divided into the simple course group and the acute complicated course group. The patient's gender, age, site of infection, body temperature, laboratory results, and pathogen culture results were collected and compared. Multivariate logistic regression analysis was used to determine the independent risk factors of the acute complicated course group. The receiver operating characteristic curve was applied to determine the optimal cut-off value. ResultsIn total, 101 AHO patients with a median age of 7.58 years were included. There were 63 cases (62.4%) in the simple course group and 38 cases (37.6%) in the complicated course group. Binary logistic regression analysis revealed that PAR and PNI were independent risk factors for predicting the acute complicated course of AHO (p = 0.004 and p < 0.001, respectively). Receiver operating characteristic curve analysis demonstrated that the combination of PAR and PNI had an area under the curve of 0.777 (95% CI: 0.680-0.873, p < 0.001) with a cut-off value of 0.51. ConclusionsThe incidence of acute complicated courses was significantly higher in patients with high PAR and low PNI. A combined factor greater than 0.51, derived from PAR and PNI measurements within 24 hours of admission, may be useful for predicting AHO patients who are likely to develop severe disease.

Clinical Impact of Preoperative Prognostic Nutritional Index in Surgical Patients With Pancreatic Cancer Treated With Perioperative Adjuvant Chemotherapy.

The prognostic nutritional index (PNI) is used as a marker to evaluate the nutritional and immunological status of patients with various cancers. This study aimed to investigate whether preoperative PNI is a prognostic factor in patients with pancreatic cancer who underwent perioperative adjuvant chemotherapy and surgical resection. We retrospectively enrolled 232 pancreatic cancer patients who underwent surgical resection with perioperative adjuvant chemotherapy between January 2013 and December 2022. Overall survival (OS) and relapse-free survival (RFS) rates were calculated using the Kaplan-Meier method. Univariate and multivariate analyses were performed using the Cox proportional hazards regression models. The optimal cutoff value for the preoperative PNI was 44.3 in the present study. PNI <44.3 was associated with older age (p<0.001) and affected the clinical course of postoperative adjuvant chemotherapy. The PNI <44.3 had an important influence on the decreased OS (25.1 vs. 39.0 months) and RFS (13.1 vs. 22.8 months). In univariate and multivariate analyses, the preoperative PNI was an independent prognostic factor for OS [hazard ratio (HR)=1.682, 95% confidence interval (CI)=1.059-2.673, p=0.028] and RFS (HR=1.559, 95% CI=1.037-2.344, p=0.033). Preoperative PNI is a prognostic factor for both OS and RFS in patients with pancreatic cancer who underwent perioperative adjuvant chemotherapy and surgical resection. This study suggests that a low PNI may cause a lack of full-dose adjuvant chemotherapy, leading to recurrence and resulting in a poor prognosis for surgical pancreatic cancer patients treated with perioperative adjuvant chemotherapy.

Lower Geriatric Nutritional Risk Index and Prognostic Nutritional Index Predict Postoperative Prognosis in Patients with Hepatocellular Carcinoma.

Increasing evidence suggests that nutritional indices, including the geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI), are predictors of poor prognosis in patients with hepatocellular carcinoma (HCC). Hence, this study aimed to explore the value of the GNRI and PNI in evaluating postoperative prognosis in patients with HCC, particularly regarding its recurrence patterns. We performed a retrospective analysis of 203 patients with HCC who underwent initial hepatic resection. Patients were divided into two groups according to the GNRI (cutoff: 98) and PNI (cutoff: 45). The GNRI and PNI were significantly associated with body composition (body mass index and skeletal muscle mass index), hepatic function (Child-Pugh Score), tumor factors (tumor size and microvascular invasion), and perioperative factors (blood loss and postoperative hospitalization). Patients with a low PNI or low GNRI had significantly worse overall survival (OS) and recurrence-free survival. Patients with early recurrence had lower PNI and GNRI scores than those without early recurrence. Patients with extrahepatic recurrence had lower PNI and GNRI scores than those without extrahepatic recurrence. The PNI and GNRI might be useful in predicting the prognosis and recurrence patterns of patients with HCC after hepatic resection.

Comparative analysis of four nutritional scores in predicting adverse outcomes in biopsy-confirmed diabetic kidney Disease.

Malnutrition is associated with adverse outcomes in patients with diabetic kidney disease (DKD). However, it is uncertain which nutritional assessment tools are most effective in predicting the adverse outcomes of DKD. This retrospective study was conducted at a single center and included 367 patients diagnosed with DKD based on biopsy results between August 2009 and December 2018. Four nutritional assessment indices, namely the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI), and Controlling Nutritional Status (CONUT) score, were selected and calculated. We aimed to assess the association between these nutritional scores and adverse outcomes, including progression to end-stage kidney disease (ESKD), cardiovascular diseases events (CVD), and all-cause mortality. Univariate and multivariate Cox regression analyses, Kaplan-Meier analysis, along with Restricted cubic spline analysis were used to examine the relationship between nutritional scores and adverse outcomes. Furthermore, the area under the curve (AUC) was calculated using time-dependent receiver operating characteristics to determine the predictive value of the four nutritional scores alone and some combinations. Lastly, ordered logistic regression analysis was conducted to explore the correlation between the four nutritional scores and different renal histologic changes. The incidence of ESKD, CVD, and all-cause mortality was significantly higher in patients with DKD who had a lower PNI, lower GNRI, and higher CONUT score. Additionally, The TCBI performed the worst in terms of grading and risk assessment. The PNI offer the highest predictive value for adverse outcomes and a stronger correlation with renal histologic changes compared to other nutritional scores. Patients diagnosed with DKD who have a worse nutritional status are more likely to experience higher rates of adverse outcomes. The PNI might offer more valuable predictive values and a stronger correlation with different renal histologic changes compared to other nutritional scores.

[Prognostic nutritional index application value for acute-on-chronic liver failure co-infection].

Objective: To explore the predictive value of the prognostic nutritional index (PNI) in concurrently infected patients with acute-on-chronic liver failure (ACLF). Methods: 220 cases with ACLF diagnosed and treated at the First Affiliated Hospital of Xi'an Jiaotong University from January 2011 to December 2016 were selected. Patients were divided into an infection and non-infection group according to whether they had co-infections during the course of the disease. Clinical data differences were compared between the two groups of patients. Binary logistic regression analysis was used to screen out influencing factors related to co-infection. The receiver operating characteristic curve was used to evaluate the predictive value of PNI for ACLF co-infection. The measurement data between groups were compared using the independent sample t-test and the Mann-Whitney U rank sum test. The enumeration data were analyzed using the Fisher exact probability test or the Pearson χ(2) test. The Pearson method was performed for correlation analysis. The independent risk factors for liver failure associated with co-infection were analyzed by multivariate logistic analysis. Results: There were statistically significant differences in ascites, hepatorenal syndrome, PNI score, and albumin between the infection and the non-infection group (P < 0.05). Among the 220 ACLF cases, 158 (71.82%) were infected with the hepatitis B virus (HBV). The incidence rate of infection during hospitalization was 69.09% (152/220). The common sites of infection were intraabdominal (57.07%) and pulmonary infection (29.29%). Pearson correlation analysis showed that PNI and MELD-Na were negatively correlated (r = -0.150, P < 0.05). Multivariate logistic analysis results showed that low PNI score (OR=0.916, 95%CI: 0.865~0.970), ascites (OR=4.243, 95%CI: 2.237~8.047), and hepatorenal syndrome (OR=4.082, 95%CI : 1.106~15.067) were risk factors for ACLF co-infection (P < 0.05). The ROC results showed that the PNI curve area (0.648) was higher than the MELD-Na score curve area (0.610, P < 0.05). The effectiveness of predicting infection risk when PNI was combined with ascites and hepatorenal syndrome complications was raised. Patients with co-infections had a good predictive effect when PNI ≤ 40.625. The sensitivity and specificity were 84.2% and 41.2%, respectively. Conclusion: Low PNI score and ACLF co-infection have a close correlation. Therefore, PNI has a certain appraisal value for ACLF co-infection.

Prediction of severe radiation-induced oral mucositis in locally advanced nasopharyngeal carcinoma using the combined systemic immune-inflammatory index and prognostic nutritional index.

Severe radiation-induced oral mucositis (sRIOM) can seriously affect patients' quality of life and treatment compliance. This study was to investigate the utility of the systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) in predicting sRIOM in patients with locally advanced nasopharyngeal carcinoma (LANPC). 295 patients with LANPC were retrospectively screened. The pre-radiotherapy SII and PNI were calculated based on peripheral blood samples. A receiver operating characteristic (ROC) curve was used to determine the cut-off value. Logistic regression was used for univariate and multivariate analyses. Patients were classified into three groups based on the SII-PNI score: score of 2, high SII (> cut-off value) and low PNI (≤ cut-off value); score of 1, either high SII or low PNI; score of 0, neither high SII nor low PNI. The SII-PNI demonstrated significant predictive ability for sRIOM occurrence, as evidenced by an area under the curve (AUC) of 0.738. The incidence rates of sRIOM with SII-PNI score of 2, 1, and 0 were 73.86%, 44.35%, and 18.07%, respectively. Multivariate analysis confirmed that the SII-PNI score was an independent risk factor for sRIOM. The SII-PNI score is a reliableand convenient indicator for predicting sRIOM in patients with LANPC.

Evaluation of the prognostic nutritional index (PNI) as a tool for assessing disease activity in rheumatoid arthritis patients.

Rheumatoid arthritis (RA) is an autoimmune disease of unknown exact cause, characterized by chronic inflammation. The prognostic nutritional index (PNI), reflecting albumin concentration and lymphocyte count, is a newly established inflammation-based nutritional score. This study aimed to determine the relationship between PNI and disease activity in RA patients. This cross-sectional study included 138 RA patients who met the 2010 revised criteria of the American College of Rheumatology (ACR) for RA. PNI was calculated using the following formula: 10 × serum albumin value (g/dL) + 0.005 × total lymphocyte count in the peripheral blood (per mm3). The study population was divided into two groups: DAS28-ESR ≤ 3.2 (group 1 with remission and low disease activity) and DAS28-ESR > 3.2 (group 2 with moderate and high disease activity). A total of 138 patients with a mean age of 52.1years were recruited. While the female gender was more prevalent in both groups, it was significantly higher in group 2 (p < 0.05). Group 2 exhibited a lower PNI compared to those in group 1 (42.17 ± 3.46 vs. 44.02 ± 2.92; p = 0.001). Multivariate logistic regression analyses revealed that PNI was an independent predictor of disease activity (OR, 0.850; 95% CI, 0.735-0.983; p = 0.029). ROC curve analysis determined that the optimal cutoff value of PNI for disease activity was 43.01, with a sensitivity of 69.1% and specificity of 57.7% (AUC, 0.66; 95% CI, 0.57-0.75, p = 0.001). This study demonstrates that the simple and readily available PNI could serve as an independent predictor of disease activity in rheumatoid arthritis patients. Key Points •The relationship between disease activity and the prognostic nutritional index, which is a nutritional indicator, in rheumatoid arthritis patients was investigated. •It has been shown that there is a connection between low PNI and high disease activity. •It has been shown that PNI can be used to evaluate disease severity with a simple calculation.

Predictive role of the prognostic nutritional index in patients with pancreatic ductal adenocarcinoma who underwent neoadjuvant chemoradiotherapy followed by curative pancreatic resection: A retrospective study using prospectively collected data.

Despite a strong association between nutritional indices and disease prognosis, evidence regarding the evaluation of nutritional indices after preoperative treatment for pancreatic ductal adenocarcinoma (PDAC) is insufficient. We evaluated the clinical significance of the prognostic nutritional index (PNI) in patients with resectable (R-) and borderline resectable (BR-) PDAC who received neoadjuvant chemoradiotherapy (NACRT) followed by pancreatic resection. We assessed 153 patients with R- and BR-PDAC who underwent NACRT followed by curative resection between 2009 and 2022. We evaluated the association between preoperative PNI after NACRT and short- and long-term outcomes. The median preoperative PNI value after NACRT was 42.1, and the optimal cutoff value from the time-dependent receiver operating characteristic curve was 38.6. The low PNI group (PNI < 38.6, n = 44) exhibited significantly worse inflammatory parameters, surgical outcomes, and prognoses than the high PNI group (PNI ≥ 38.6, n = 109). Multivariate analysis identified preoperative PNI ≤ 38.6 (hazard ratio [HR]: 2.32, 95% confidence interval [CI]: 1.00-5.38, p = .049), blood loss ≥1642 mL (HR: 3.05, 95% CI: 1.65-5.64, p < .001), node positive pathology (HR: 2.10, 95% CI: 1.32-3.34, p = .002), and lack of postoperative adjuvant chemotherapy (HR: 3.55, 95% CI: 2.05-6.15, p < .001) as significant predictors of overall survival. For patients with R- and BR-PDAC receiving preoperative treatment, it is imperative to closely monitor their nutritional status when determining the optimal surgical procedure timing.

Association of prognostic nutritional index with peripheral artery disease in US adults: a cross-sectional study

BackgroundThe objective of this study was to investigate the relationship between the prognostic nutritional index (PNI) and peripheral artery disease (PAD).MethodsThe present study is a cross-sectional study based on the National Health and Nutrition Survey (1999–2004). The laboratory-calculated PNI was divided into four groups based on quartiles(Q1:PNI ≤ 50.00; Q2: 50.01–53.00; Q3:53.01–56.00; Q4: > 56.00). PAD was defined as an ankle brachial pressure index (ABPI) ≤ 0.9 on the left or right. The relationship between PNI and PAD was examined using multifactor weighted logistic regression analysis, as well as subgroup analysis. Subgroup analyses were conducted based on demographic and clinical variables.ResultsA total of 5,447 individuals were included in our final analysis. The age of the participants was 59.56 ± 13.10 years, and males accounted for 52.8% (n = 2820). The prevalence of PAD was 6.7% (n = 363). After adjusting for all factors, participants with Q1 still had an increased risk of PAD, with an OR value of 1.593 and a 95% CI of 1.232–1.991. Subgroup analysis showed no significant interaction among multiple factors.ConclusionsIn summary, we report that lower PNI are associated with a higher risk of PAD in US adults. It is hoped that this discovery can provide a reference for the prevention of PAD.

Prognostic Nutritional Index Predicts Efficacy and Immune-Related Adverse Events of First-Line Chemoimmunotherapy in Patients with Extensive-Stage Small-Cell Lung Cancer.

Currently, there is a lack of well-established markers to predict the efficacy of chemoimmunotherapy in small-cell lung cancer (SCLC). Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), advanced lung cancer inflammation index (ALI) and prognostic nutritional index (PNI) are associated with prognosis in several tumors, whereas their predictive role in SCLC remains unclear. A retrospective study was conducted at Sun Yat-sen University Cancer Center, involving extensive-stage SCLC (ES-SCLC) patients who received first-line chemoimmunotherapy between January 2020 and December 2021. Peripheral blood biomarkers were extracted from medical records and their correlation with prognosis and immune-related adverse events (IRAEs) was analyzed. A total of 114 patients were included. Patients with a low PLR, high ALI and high PNI had prolonged progression-free survival (PFS) compared to those with a high PLR, low ALI and low PNI. Patients with a low NLR, low PLR, high ALI and high PNI had prolonged overall survival (OS) compared to those with a high NLR, high PLR, low ALI and low PNI. Cox regression model showed that PNI was an independent risk factor for both PFS and OS. ROC curve showed that PNI outperforms NLR, PLR and ALI in predicting both PFS and OS. The PNI-based nomogram demonstrated strong predictive capability for both PFS and OS. In addition, there was a significant correlation between PNI and IRAEs. A high baseline PNI might be associated with improved prognosis and the occurrence of IRAEs in ES-SCLC patients treated with first-line chemoimmunotherapy.

Inflammatory and Nutritional Biomarkers in Patients With Esophageal Squamous Cell Carcinoma Undergoing Neoadjuvant Chemotherapy and Radiation Therapy.

To investigate the relationship between pretreatment inflammatory and nutritional biomarkers in patients with esophageal squamous cell carcinoma (ESCC) undergoing neoadjuvant chemotherapy and radiation therapy (nCRT). 213 patients with newly diagnosed stage II-III ESCC who received nCRT at an academic hospital in Taiwan. Electronic health record data were used. Records on inflammatory and nutritional biomarkers and clinical outcomes were extracted. Logistic regression analysis was used to predict treatment-related adverse events, Cox regression was used for survival outcomes, and receiver operating characteristic curve analysis was used to determine optimal cutoff values. There was a significant association between low prognostic nutritional index (PNI) and nCRT toxicities and survival. Advanced cancer stage, high platelet-to-lymphocyte ratio, and occurrence of pneumonia/infection were linked to survival outcomes. PNI shows promise in predicting prognosis, helps identify high-risk patients, and enables nurses to apply tailored interventions.

Prognostic Significance of Sarcopenia and Systemic Inflammatory Markers in Biliary Tract Cancer: A Retrospective Cohort Study.

To evaluate the prognostic significance of sarcopenia and systemic inflammatory markers in patients with surgically resected biliary tract cancer (BTC). Between July 2010 and December 2022, 146 patients were recruited. Sarcopenia was assessed using the psoas muscle index. Preoperative inflammatory markers were used to calculate the prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio. Cox regression analysis was performed to determine prognostic factors for overall survival (OS) and recurrence-free survival (RFS). P < 0.05 was considered statistically significant. Sixty-four patients had sarcopenia. Sarcopenia was associated with body mass index (< 22 kg/m2), lymph node metastasis, and low PNI (< 42). R1/R2 resection (P = 0.02), sarcopenia (P < 0.001), lymph node metastasis (P = 0.007), intrahepatic cholangiocarcinoma (P < 0.001), and low PNI (P = 0.01) were independent predictors of OS, while male sex (P = 0.04), R1/R2 resection (P < 0.001), lymph node metastasis (P = 0.005), intrahepatic cholangiocarcinoma (P < 0.001), tumor differentiation (other than well; P = 0.003), and low PNI (P = 0.03) were independent predictors of RFS. Patients were stratified into no sarcopenia and high PNI (≥ 42; A), sarcopenia or low PNI (B), and sarcopenia and low PNI (C) groups. Group C had worse OS than the other two groups (P < 0.001 and P = 0.02, respectively). Sarcopenia is associated with the PNI. Sarcopenia and the PNI are independent prognostic factors among patients with resected BTC. Sarcopenia may have better prognostic value when combined with the PNI.

[Correlation between prognostic nutritional index and pleural thickness with survival time of epithelial malignant pleural mesothelioma patients].

Objective: To explore the role of prognostic nutritional index (PNI) and pleural thickness in the prognostic evaluation of patients with epithelial malignant pleural mesothelioma (MPM) . Methods: In April 2022, a retrospective analysis was conducted on the data and laboratory data of 41 patients with epithelial MPM admitted to the cardiothoracic surgery department of Chuxiong Yi Autonomous Prefecture People's Hospital from January 2018 to May 2021. Univariate and multivariate analysis were used to evaluate the relationships between total survival time, clinical characteristics, PNI and pleural thickness in patients. Results: The 41 patients were mostly male (26 cases, 63.4%) , with a median age of 55 years old. The main clinical manifestations were chest pain (53.7%) , bloody pleural effusion (75.6%) , and chest pain combined with bloody pleural effusion (36.6%) . The median survival time of patients with different TNM stage, efficacy after 4 cycles of chemotherapy, PNI, maximum pleural thickness after chemotherapy (post max) , sum of post max in 3 zones after chemotherapy (post sum) were statistically different (χ(2)=3.89, 14.51, 15.33, 4.33, 12.05, P<0.05) . Compared with patients with high PNI and post sum<32.26 mm, MPM patients with low PNI and post sum≥32.26 mm have higher risk of death, and the differences were statistically significant (HR=1.52, 95%CI: 1.75-11.93, P=0.002; HR=1.70, 95%CI: 1.84-16.23, P=0.002) . Conclusion: PNI and post sum can be used to predict the prognosis of patients with epithelial MPM.