Prognostic Nutritional Index Levels Research Articles

Association of preexisting anti-thyroid antibodies and body mass index with prognosis of lung cancer patients treated with PD-1/PD-L1 inhibitors

Abstract Objectives Immune checkpoint inhibitors are a new beneficial medication in the treatment of cancer. Whether preexisting TPOAb was related to longer overall survival (OS) is controversial. This retrospective study analyzed the OS and progression-free survival (PFS) of patients with lung cancer, and explored predictive factors associated with the efficacy of PD-1/PD-L1 inhibitors treatment. Methods Patients with lung cancer who were hospitalized in the First Affiliated Hospital of Wenzhou Medical University between January 1, 2020 and December 30, 2020 were enrolled. Thyroid function, TPOAb, TGAb, and prognostic nutritional index levels and body mass index were analyzed. Supervising physicians independently assessed patient staging, OS, and PFS. Demographic data, pathological type, and previous treatment history were also collected. Results In total, this study enrolled 69 patients, with ages of 46–80 years old. Patients with lower weight showed reduced OS and PFS rates relative to those with normal weight and overweight (p<0.05). The single patient with large cell neuroendocrine carcinoma (LCNEC) exhibited a 1-, 1.5- and 2-year OS rate lower than that of the patients diagnosed with squamous cell carcinoma, small cell lung cancer, or adenocarcinoma (p<0.05). This LCNEC patient also had lower 1-, 1.5-, and 2-year PFS rates compared to adenocarcinoma patients (p<0.05). TPOAb and TGAb levels were unrelated to OS or PFS. Multivariate Cox regression analyses revealed a positive association between body mass index, OS, and PFS. Conclusions Patients with lower body weight were predictive of poorer survival outcomes when receiving PD-1/PD-L1 inhibitors treatment as compared to patients with normal weight and overweight. However, positive baseline TGAb and TPOAb levels were not associated with increased OS or PFS in patients with lung 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.

Prognostic Nutritional Index is Associated with the Degree of Coronary Collateral Circulation in Stable Angina Patients with Chronic Total Occlusion.

Coronary collateral circulation (CCC) can effectively improve myocardial blood supply to the area of CTO (chronic total coronary occlusion) and can, thus, improve the prognosis of patients with stable coronary syndrome (SCS). The degree of inflammation and some inflammation markers were associated with the development of collaterals. To investigate whether prognostic nutritional index (PNI) has an association with the development of CCC in patients with SCS. A total of 400 SCS patients with the presence of CTO in at least one major epicardial coronary artery were included in this study. The patients were divided into two groups according to the Rentrop score. Scores of 0 to 1 were considered poor developed CCC, and scores of 2 to 3 were accepted as good developed CCC. Statistical significance was set as a p-value < 0.05 for all analyses. The mean age of the study cohort was 63±10 years; 273 (68.3%) were males. The poor-developed CCC group had a significantly lower PNI level compared with the good-developed CCC group (38.29±5.58 vs 41.23±3.85, p< 0.001). In the multivariate analysis, the PNI (odds ratio 0.870; 95% confidence interval 0.822-0.922; p< 0.001) was an independent predictor of poorly developed CCC. The PNI can be used as one of the independent predictors of CCC formation. It was positively associated with the development of coronary collaterals in SCS patients with CTO.

Predictive value of the prognostic nutritional index combined with serum chloride levels for the prognosis of patients with acute decompensated heart failure

BackgroundThe prognostic nutritional index (PNI) and serum chloride level are related to adverse outcomes in patients with heart failure. However, little is known about the relationship between the PNI and serum chloride level in predicting the poor prognosis of patients with acute decompensated heart failure (ADHF).Methods and resultsWe reviewed 1221 consecutive patients with ADHF admitted to the First Affiliated Hospital of Kunming Medical University from January 2017 to October 2021. After excluding patients with in hospital death, missing follow-up data, missing chloride data, missing lymphocyte (LYM) count data, or missing serum albumin data, 805 patients were included. PNI was calculated using the formula: serum albumin (ALB) (g/L) + 5 × LYM count (10^9/L). Patients were divided into 4 groups according to the quartiles of the PNI, and the highest PNI quartile (PNI Q4: PNI ≥ 47.3) was set as the reference group. The patients in the lowest PNI quartile (PNI Q1: PNI < 40.8) had the lowest cumulative survival rate, and mortality risk decreased progressively through the quartiles (log-rank χ2 142.283, P < 0.0001). Patients with ADHF were divided into 8 groups by quartiles of PNI and median levels of serum chloride. After adjustment, the hazard ratio (HR) for all-cause mortality in ADHF patients in Group 1 was 8.7 times higher than that in the reference Group 8. Furthermore, the addition of serum chloride level and PNI quartile to the Cox model increased the area under the Receiver operating characteristic (ROC) curve by 0.05, and the area under the ROC curve of the new model was higher than that of the original model with traditional risk factors.ConclusionsBoth the lowest PNI quartiles and low chloride level indicate a higher risk of all-cause death in patients with ADHF.

Prognostic nutritional index (PNI) is an independent risk factor for the postoperative mortality in geriatric patients undergoing hip arthroplasty for femoral neck fracture? A prospective controlled study.

Hip fracture is very common in advanced ages, and it is very likely that this condition is accompanied by nutritional deficiencies. The aim of this study was to investigate the effect of prognostic nutritional index (PNI) on postoperative mortality in geriatric patients who underwent hip arthroplasty for femoral neck fracture. Geriatric patients (aged ≥ 70years) who underwent hip arthroplasty for femoral neck fracture were prospectively recruited. The patients' demographic data, time until surgery, total hospital stay, perioperative blood transfusion, duration of surgery and anesthesia, serum albumin level, total lymphocyte count, PNI value, and first-year mortality were examined. They were divided into two groups as patients who died and those who did not die within the 1st year, and between-group comparisons for continuous and categorical variables were made using independent t test and Chi-square test, respectively. Receiver operating characteristic (ROC) curve was constructed, and a cutoff value for PNI was determined based on sensitivity and specificity values. The total number of participants was 124. The mean age was 80.40 ± 7.19years: 77 (62.1%) were female and 47 (37.9%) were male. PNI was statistically significant for 1-year mortality in multivariate Cox regression analysis (p < 0.05). According to ROC curve analysis, the area under the curve for PNI level was found to be 0.764 (95% CI 0.670-0.857), and this value was statistically significant (p < 0.001). The sensitivity and specificity for the 38.4 cutoff value were 83.9% and 39.8%, respectively. The mean age, time after surgery, total hospital stay, and preoperative blood transfusion need were found to be statistically higher in the patients with low PNI levels (≤ 38.4) than those in the other patients (> 38.4) (p < 0.05 for all). PNI seems to be an independent risk factor on mortality after hip fracture surgery in geriatric patients. PNI is a preventable and correctable risk factor that affects patient survival.

C-reactive protein levels, the prognostic nutritional index, and the lactate dehydrogenase-to-lymphocyte ratio are important prognostic factors in primary central nervous system lymphoma: a single-center study of 223 patients

Primary central nervous system lymphoma (PCNSL) is a rare and highly aggressive type of extranodal non-Hodgkin lymphoma (NHL), and the prognosis is poor. Currently, the most used prognostic models are the Memorial Sloan-Kettering Cancer Center (MSKCC) and International Extranodal Lymphoma Study Group (IELSG) scores; however, their predictive effects are changing with increasing incidence and changing treatment regimens. A growing body of evidence has demonstrated that inflammatory and nutritional markers are factors that can determine tumor prognosis. Therefore, the aim of this study was to identify and validate novel prognostic factors for PCNSL. Clinical information was collected from 223 patients with PCNSL. Patients younger than 18 years of age were excluded. Progression-free survival (PFS) and overall survival (OS) were used as endpoints, and receiver operating characteristic (ROC) curve analyses were conducted to determine the cutoff values for the inflammatory indicators. Correlations between variables and PFS or OS were assessed using univariate and multivariate analyses, and positive indicators were selected for survival analysis. A prognostic nutritional index (PNI) < 49.38 was associated with worse PFS (p = 0.003), and outcomes significantly differed between patients with a PNI ≥ 49.38 and < 49.38 (p < 0.001). Age < 60 years (p < 0.001) and C-reactive protein (CRP) levels < 3.14 (p = 0.001) were associated with better OS. In elderly patients (≥ 60 years), a lactate dehydrogenase-to-lymphocyte ratio (LLR) < 95.69 (p = 0.021) was associated with better OS, and the outcome significantly differed between patients with an LLR ≥ 95.69 and LLR < 95.69 (p = 0.015). The PNI and CRP levels are prognostic factors for PCNSL, and CRP was the first time shown to be a prognosis factor of PCNSL. In elderly patients with PCNSL, the LLR can predict prognosis.

Relationship between immune nutrition index and all-cause and cause-specific mortality in U.S. adults with chronic kidney disease.

The available evidence regarding the association of immune nutrition status with chronic kidney disease (CKD) is limited. Thus, the present study examined whether immunonutrition indices were associated with renal function and mortality among CKD individuals. This study enrolled 6,099 U.S. adults with CKD from the NHANES 2005-2018 database. Participants were matched with National Death Index records until 31 December 2019 to determine mortality outcomes. The time-dependent receiver operating characteristic was utilized to identify the most effective index among the prognostic nutritional index (PNI), system inflammation score (SIS), Naples prognostic score (NPS), and controlling nutritional status (CONUT) for predicting mortality. Cox regression models were employed to evaluate the associations of immunonutrition indices with mortality in participants with CKD. The PNI exhibited the strongest predictive power among the four indices evaluated and the restricted cubic spline analysis revealed a cutoff value of 51 for the PNI in predicting mortality. During a median follow-up of 72 months (39-115 months), a total of 1,762 (weighted 24.26%) CKD participants died from all causes. The Kaplan-Meier curve demonstrated a reduced risk of death for the subjects with a higher PNI compared to those in the lower group. Besides, after adjusting for multiple potential confounders, a higher PNI remained an independent predictor for lower risks of all-cause mortality (HR 0.80, 95%CI: 0.71-0.91, p < 0.001) and cardiovascular disease (CVD) mortality (HR 0.69, 95%CI: 0.55-0.88, p = 0.002) in individuals with CKD. In CKD, a higher PNI level was significantly associated with lower mortality from all causes and CVD. Thus, the clinical utility of this immunonutrition indicator may facilitate risk stratification and prevent premature death among patients with CKD.

The Prognostic Nutritional Index and Mortality in Patients With Ventriculoperitoneal Shunt Infection

The objective of this study was to investigate the relationship between mortality and the prognostic nutritional index (PNI) in the pediatric patient group with ventriculoperitoneal shunt (VPS) infection. A total of 63 pediatric patients with a VPS infection and positive cerebrospinal fluid (CSF) culture were retrospectively registered. The CSF specimens were analyzed to conduct culture and microscopic evaluation. A total of 44.4% of the cases were men and 55.6% of the cases were women. Patients were divided into 2 groups (survivor and non-survivor patients). When survivor and non-survivor patients were compared, it was found that CSF leukocytes, CSF glucose, CSF protein, CSF/blood glucose ratio, lymphocyte, albumin, and PNI levels were lower in the non-survivor patients’ group. Nevertheless, blood glucose and CRP (C-reactive protein) were significantly higher in the non-survivor patients’ group than in the survivor patients’ group. In our investigation, we suggested that low PNI was related to high mortality in cases of VPS infection.

Predictive value of systemic immune inflammation index (SII) and prognostic nutritional index (PNI) on mortality after below-knee amputation.

This retrospective cross-sectional study aimed to evaluate the predictive value of SII (Systemic Immune Inflammation Index) and PNI (Prognostic Nutritional Index) with blood ratios on mortality in diabetic foot patients who underwent below-knee amputation. A total of 231 living (n = 71; 30.7%) and exitus (n = 160; 69.3%) patients were evaluated. The mortality group was divided into 3 groups: 30-day mortality (n = 62; 38.8%), 1-year mortality (n = 62; 38.8%), and over-1-year mortality (n = 36; 22.5%). The hemogram, SII, and PNI parameters of the patients were evaluated. Age, some blood count parameters and SII were significantly higher in the exitus group (P < .05). The lymphocyte, monocyte, eosinophil, albumin, and PNI levels were significantly higher in the living group (P < .05). Mortality was significantly predicted by age (B [regression coefficient] = 0.026, P < .05), NLR (neutrophil lymphocyte ratio) (B = -0.065, P < .05), PNI (B = -0.100, P < .01), and SII (B = 0.00000024, P < .01). The predictive values of CAR (C reactive protein albumin ratio), PNI, and SII were 77.3%, 77.0%, and 76.1%, respectively. For CAR of 30.88 cutoff value, the sensitivity and specificity were 79.4% and 64.8%, respectively. For the PNI 22.0143 cutoff value, the sensitivity and specificity were 66.9% and 5.6%, respectively. For the SII 732249.2481 cutoff value, the sensitivity and specificity were 91.9% and 31.0%, respectively. The predictive value of the PNI was significant for mortality time (B = 0.058; P < .01). The predictive value of PNI for 30-day mortality was significant (AUC (area under curve):0.632; P < .01), whereas its predictive value for 1-year mortality and over-1-year mortality after below-knee amputation was statistically insignificant (P > .05). Both the SII and PNI may be evaluated and used to predict mortality after below-knee amputation. The SII had a significant predictive value for 30-day mortality after below-knee amputation.

The Prognostic Value of the Prognostic Nutritional Index in Patients with Advanced or Metastatic Gastric Cancer Treated with Immunotherapy.

In recent years, the therapeutic effect of monoclonal antibodies against programmed cell death protein-1 (PD-1) in patients with locally advanced or metastatic gastric or gastroesophageal junction (G/GEJ) cancer has been confirmed in many studies. The exploration and discovery of new biomarker combinations based on tumor characteristics and tumor microenvironment help screen superior patients and realize precise immunotherapy. As an evaluation index of immunonutritional status, the prognostic nutritional index (PNI) is low cost, simple and easy to obtain, and effective in determining the prognosis of tumor patients. We selected 268 consecutive AGC patients who were treated with ICI therapy from December 2014 to May 2021. We measured their pretreatment of the PNI levels and performed univariate and multivariate Cox regression analyses of progression-free survival (PFS) or overall survival (OS) after ICI therapy. The low pretreatment PNI level of AGC patients was significantly correlated with shorter PFS (p < 0.001) and OS (p < 0.001) after ICI treatment. In univariate and multivariate analyses of the associations between PNI and OS or PFS, PNI is an independent prognostic factor for PFS (HR = 1.511; 95%CI 1.154-1.977; p = 0.003) and OS (HR = 1.431; 95%CI 1.049-1.951; p = 0.024), respectively. Notably, decreased PNI during treatment with ICIs was associated with early relapse and death. Pretreatment with PNI might help to identify AGC patients who will obtain a survival benefit from ICI therapy.

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

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

Association of prognostic nutritional index with the risk of all-cause mortality and cardiovascular mortality in patients with type 2 diabetes: NHANES 1999–2018

IntroductionThere is little bulk clinical evidence on nutritional status and mortality in patients with diabetes. The purpose of this study was to examine the relationship between prognostic nutritional index (PNI)...

Diagnostic value of CA125, HE4, and systemic immune-inflammation index in the preoperative investigation of ovarian masses.

This study aimed to ascertain the diagnostic accuracy of CA125, HE4, systemic immune-inflammation index (SII), fibrinogen-to-albumin ratio (FAR), prognostic nutritional index (PNI), and their combination for ovarian cancer (OC) to discover an optimal combined diagnostic index for early diagnosis of OC. A thorough investigation was conducted to ascertain the correlation between these markers and the pathological characteristics of OC, thereby providing a foundation for early identification and treatment of this disorder. One hundred seventy patients with documented OC and benign ovarian tumors (BOTs) treated at Hebei General Hospital between January 2019 and December 2022 were included in this retrospective study. Data analysis was conducted using IBM SPSS Statistics version V26.0, MedCalc Statistical Software version 19.4.0, and the R Environment for Statistical Computing software (R Foundation for Statistical Computing). Isolated CA125 showed the best application value for differentiating benign ovarian tumors from OC when the defined variables were compared separately. The combination of CA125, HE4, FAR, SII, and PNI displayed a greater area under the operating characteristic curve curve than any one of them or other combinations of the 5 variables. Compared to CA125 alone, the combination of CA125, HE4, FAR, SII, and PNI showed a slight gain in sensitivity (83.91%), negative predictive value (83.91%), accuracy (85.88%), and a decrease in negative likelihood ratio (0.180%). Higher preoperative CA125, HE4, SII, and FAR levels, and lower PNI levels predicted a higher probability of advanced OC progression and lymph node metastasis. FAR has better application value than other inflammation-related markers (PNI and SII). This study suggests that preoperative serum SII, PNI, and FAR may be clinically valuable markers in patients with OC. FAR has better application value than other inflammation-related markers (PNI and SII). As we delve deeper into the inflammatory mechanisms associated with tumors, we may discover more effective combinations of tumor and inflammatory biomarkers.

Association between the Prognostic Nutritional Index and Chronic Microvascular Complications in Patients with Type 2 Diabetes Mellitus.

The prognostic nutritional index (PNI) is associated with inflammatory conditions. Since type 2 diabetes mellitus (T2DM) and its microvascular complications produce a significant inflammatory burden, we aimed to compare the PNI levels of the subjects with T2DM to those of healthy individuals. Furthermore, we aimed to compare the PNI levels of the diabetic subjects, with and without microvascular complications. The study cohort consisted of T2DM patients and healthy volunteers. The general characteristics, laboratory data, and PNI of the T2DM and control groups were compared. We further compared the PNI levels of the diabetic patients, with and without diabetic microvascular complications. The PNI levels of the T2DM patients and the control group were 51.6 (30.1-73.8)% and 64.8 (49.4-76)%, respectively (p < 0.001). Subgroup analyses revealed that the PNI was lower in the diabetic subjects with diabetic microvascular complications than in the diabetic patients without microvascular complications (p < 0.001), in patients with diabetic nephropathy compared to those without nephropathy (p < 0.001), in patients with diabetic retinopathy compared to those without retinopathy (p < 0.001), and in patients with diabetic neuropathy compared to those without neuropathy (p < 0.001). In conclusion, we assert that assessing the PNI may yield additional diagnostic value in regards to the timely determination of diabetic microvascular complications.

Clinical utility of the prognostic nutritional index in patients with metastatic hormone-sensitive prostate cancer: A retrospective, multicenter, cohort study.

The prognostic nutritional index (PNI) based on the serum albumin level and the lymphocyte count has been investigated as a prognostic factor in patients with malignant tumors. However, it has been poorly studied in prostate cancer (PCa), and little is known about its clinical utility. Clinical data of 353 patients with de novo, metastatic, hormone-sensitive PCa (mHSPC) who received androgen deprivation therapy (ADT) were obtained from multiple institutions between 2000 and 2019. The impacts of the pretreatment PNI level on treatment response and survival, together with clinical parameters, were examined. The Mann-Whitney U test, Cox proportional hazards models, and Kaplan-Meier methods were used to evaluate significance. The median age and initial prostate-specific antigen level were 73 and 266.18 ng/mL, respectively. Patients with a low PNI had shorter progression-free survival (PFS), cancer-specific survival (CSS), and overall survival (OS) (p < 0.0001). On multivariate analysis, low PNI was an independent prognostic factor for OS (p = 0.0027, HR = 1.65), as well as advanced age (p = 0.049, HR = 1.38), the International Society of Urological Pathology (ISUP) grade group (GG) 5 (p = 0.0027, HR = 1.69), and elevated lactate dehydrogenase (LDH) (p < 0.0001, HR = 2.08). A propensity score-matching analysis showed that the PNI level remained a significant prognostic biomarker for PFS (p = 0.0263), CSS (p = 0.0006), and OS (p = 0.0015). Furthermore, a novel risk classification using PNI, LDH, and the ISUP GG was established to stratify patients' prognosis. An increase in the number of risk factors was significantly correlated with poor outcomes. A low pretreatment PNI might be an effective biomarker of poor treatment response and survival in patients with mHSPC undergoing ADT.

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

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

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.

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

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

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

Nutritional status is related to the clinical outcomes of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). The aim of this study was to investigate the association between nutritional status, measured by the prognostic nutritional index (PNI), and adverse hospitalization outcomes in patients with AECOPD. Consecutive AECOPD patients admitted to the First Affiliated Hospital of Sun Yat-sen University between January 1, 2015 to October 31, 2021 were enrolled. We collected the clinical characteristics and laboratory data of patients. Multivariable logistic regression models were developed to assess the relationship between the baseline PNI and adverse hospitalization outcomes. A generalized additive model (GAM) was used to identify any non-linear relationship. In addition, we performed a subgroup analysis to tested the robustness of the results. A total of 385 AECOPD patients were involved in this retrospective cohort study. Based on the tertiles of PNI, patients in the lower tertiles of PNI showed more worse outcome incidence (30 [23.6%] versus 17 [13.2%] versus 8 [6.2%]; p < 0.001). Multivariable logistic regression analysis revealed that the PNI were independently associated with adverse hospitalization outcomes after adjustment for confounding factors (Odds ratio [OR] = 0.94, 95% CI: 0.91 to 0.97, P < 0.0001). After adjusting for confounders, smooth curve fitting showed a saturation effect, suggesting that the relationship between the PNI and adverse hospitalization outcomes was nonlinear. Two-piecewise linear regression model suggested that the incidence of adverse hospitalization outcomes significantly decreased with PNI level up to the inflection point (PNI = 42), and PNI was not associated with adverse hospitalization outcome after that point. Decreased PNI levels at admission were determined to be associated with adverse hospitalization outcomes in patients with AECOPD. The results obtained in this study may potentially assist clinicians optimize risk evaluations and clinical management processes.

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

The aim of this study is to determine the prognostic value of the prognostic nutritional index (PNI), the neutrophil to lymphocyte ratio (NLR), and the platelet to lymphocyte ratio (PLR) and their dynamic changes on survival outcomes in metastatic colorectal cancers (mCRC). The data of 199 patients with mCRC were retrospectively analyzed. To evaluate the temporal relation between the PNI, NLR, and PLR values and survival, pre-chemotherapy PNI, NLR, and PLR levels were assessed from peripheral blood cell counts on admission; post-chemotherapy PNI, NLR, and PLR levels were assessed with follow-up blood cell counts within two weeks after chemotherapy; and the difference between pre-chemotherapy PNI, NLR, and PLR levels and post-chemotherapy PNI, NLR, and PLR levels was evaluated as delta PNI, delta NLR, and delta PLR. The median PNI, PLR, and NLR were 39.01, 150.2 and 2.53 before chemotherapy and 38.2, 146.6, and 3.31 after chemotherapy, respectively. The median OS was 23.7months (95%CI:17.8-29.7) and 28.9months (95%CI:24.8-33.08) for pre-chemotherapy PNI level < 39.01 vs. PNI level ≥ 39.01, respectively(p = 0.035) The positive delta PNI was significantly higher for OS than the negative delta PNI(p < 0.009). Delta PLR and delta NLR were not significant for OS and PFS(p > 0.05 for all). The results of this study clearly show that the negative delta PNI to be an independent predictor of poor OS and poor PFS in patients with colon cancer who received first line treatment. In addition, delta NLR and delta PLR were shown not to predict survival outcomes.