Risk analysis using the prognostic nutritional index in hemodialysis-dependent patients undergoing cardiac surgery

Role of composite objective nutritional indexes in patients with chronic kidney disease

Malnutrition persists as one of the most severe symptoms in patients with chronic kidney disease (CKD) globally. It is a critical risk factor for cardiovascular and all-cause mortality in patients with CKD. Readily available objective indicators are used to calculate composite objective nutritional assessment indexes, including the geriatric nutritional risk index, prognostic nutritional index, and controlling nutritional status score. These indexes offer a straightforward and effective method for evaluating nutritional status and predicting clinical outcomes in patients with CKD. This review presents supporting evidence on the significance of composite nutritional indexes.

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.

The Role of Prognostic Nutrition Index in Predicting Hospitalization of Patients With Heart Failure With Mildly Reduced Ejection Fraction

Background The prognostic nutritional index (PNI), consisting of albumin and lymphocyte counts, has been associated with satisfactory predictive values ​​for in-hospital mortality or clinical follow-up outcomes in acute situations. In this study, we aimed to evaluate the use of PNI for the prediction of hospital admission in individuals with mildly reduced ejection fraction heart failure (HFmrEF). Methodology This retrospective study was conducted between January 2019 and May 2022 and included 200 patients with HFmrEF detected by transthoracic echocardiography. Data from hospitalized patients (group 1) and outpatients (group 2) were compared. Results In the multivariable regression analysis, brain natriuretic peptide (odds ratio (OR) = 1.001; 95% confidence interval (CI) = 1.000-1.001, p = 0.001) and PNI (OR = 0.783; 95% CI = 0.720-0.853; p < 0.001) were independent predictors of hospital admission in patients with HFmrEF. The PNI value was statistically significantly higher in group 2 (52.36 ± 5.36) than in group 1 (38.3 ± 8.63, p < 0.001). The PNI value <46.75 is a predictor of hospitalization in patients with HFmrEF, with 86% sensitivity and 88% specificity. Conclusions Lower PNI levels predict hospital admission in HFmrEF patients. This measure, which can be easily evaluated in daily cardiological practice, allows for quick and precise decisions for hospitalization.

Value of prognostic nutritional index for survival prediction in trans-catheter aortic valve replacement compared to other common nutritional indexes

BACKGROUND

Nutritional status predicts outcomes after TAVR. Predictive value of Prognostic Nutritional Index (PNI) was investigated in patients undergoing TAVR, and compared to other nutritional indexes.

METHODS

A cohort of 114 patients undergoing TAVR in a high-volume centre was studied. A prospective 1-year follow-up was completed. PNI was estimated as follows: (10 × serum albumin[g/dl])+(0.005 × total lymphocytes [1000/μl]). One-year survival was compared in patients with PNI above vs below median; Kaplan-Meier curves were created. A multivariate analysis was used to assess predictive value of PNI for 1-year mortality. ROC curves were used to assess discrimination by PNI, and to compare it with Geriatric Nutritional Risk Index (GNRI) and Body Mass Index (BMI).

RESULTS

Mean age was 82.2 years, 59.6% were male. Mean PNI was 46 ± 5. Pre-procedurally, no differences were found between patients with high vs. low PNI. One-year mortality was significantly higher in patients with low PNI values (19/57 vs. 4/57; p < .001). Complications did not differ. A higher PNI predicted 1-year survival, even after adjusting for clinical factors (model 1: HR 0.8, 95% CI 0.7-0.9, p < .0001) and laboratory parameters (NT-proBNP, IL-6, CRP, eGFR, cystatin C, haemoglobin) (model 2: HR 0.8, 95% CI 0.7-0.9, p < .05). ROC curves revealed a stronger predictive value for PNI (AUC 0.80) compared to GNRI (0.77) and BMI (0.6). The optimal cut-off for PNI was 45.

CONCLUSION

PNI is a useful and practical nutritional marker reflecting malnutrition and inflammation prior to the intervention, and strongly predicts 1-year survival. PNI seems to be a better prognostic marker than BMI or GNRI after TAVR.

Prognostic influence of objective nutritional indexes on mortality after surgical aortic valve replacement in elderly patients with severe aortic stenosis (from the nutrition-SAVR trial)

AIM

Several scoring systems, such as controlling nutritional status (CONUT) score, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI), have been previously described to show nutritional status. In the present study, we aimed to investigate the value of these scoring systems in predicting in-hospital and long-term mortality in patients undergoing surgical aortic valve replacement (SAVR).

METHODS

PNI, GNRI, and CONUT were determined using the receiver operator characteristics curve analysis in 150 consecutive elderly patients (age: 70 (66-74) years, male: 78) who underwent SAVR due to degenerative severe aortic stenosis (AS). Patients were divided into two groups according to cutoff values from these indexes.

RESULTS

During the 50 ± 31 months follow-up period, a total of 36 (24%) patients died. 30-day mortality, 1-year mortality, and total mortality were significantly higher in lower PNI, lower GNRI, and higher CONUT groups. PNI cutoff value was 49.2, GNRI cutoff value was 102.5, and CONUT cutoff value was 1.5. PNI ≤ 49.2, GNRI ≤ 102.5, and CONUT > 1.5 values were found to be independent predictors of total mortality even after risk adjustment. In addition, in the mortality group, PNI (53.7 ± 5.9 vs. 47.4 ± 6.3; p < .001) and GNRI (108 ± 10 vs. 99 ± 6.3); p < .001) were significantly lower, while CONUT score (1 [0-2] vs. 2 [0.2-3]; p < .001) was significantly higher.

CONCLUSION

Objective nutritional indexes including CONUT score, PNI, and GNRI are important prognostic factors and those indexes should be part of frailty assessment in patients with severe AS.

Prognostic Value of Pre-Treatment Prognostic Nutritional Index in Esophageal Cancer: A Systematic Review and Meta-Analysis

Background: Prognostic nutritional index (PNI), combining albumin and lymphocyte counts, which represent the nutritional and immune status, was considered as an effective predictor for the patient's prognosis after surgery. To comprehensively analyze the relative effectiveness of prognostic performance of pretreatment PNI in esophageal cancer (EC), we performed this meta-analysis. Methods: We performed a systematic search in PubMed, Embase, CNKI, and Web of Science. The hazard ratios (HRs) or odds ratios (ORs) with their corresponding 95% confidence intervals (CIs) were extracted to explore the correlation between PNI and the post-operative survival of patients with EC, including overall survival (OS), recurrence-free survival (RFS), and post-operative complications. The Newcastle-Ottawa Scale (NOS) was applied to estimate the quality of the included studies. The Begg's test was applied to assess the publication bias. Results: A total of 13 articles with 3,543 patients, were included in our meta-analysis, and nine studies reported OS in 2,731 EC patients. The pooled results of the nine studies suggested that EC patients with a low PNI would have a worse overall survival (HR = 1.14, 95% CI 0.99-1.31, p < 0.05). The integrated results also indicated that the PNI was a negative predictor for RFS. Conclusion: This meta-analysis indicated a high correlation between PNI and post-operative survival of EC. EC patients with low PNI values tend to have worse OS and may be at a higher risk of EC recurrence. However, more relevant researches are needed to confirm the association between PNI and post-operative complications of EC.

Prognostic nutritional index may not be a good prognostic indicator for acute myocardial infarction

The prognostic nutritional index (PNI) has been applied in acute myocardial infarction (AMI) recently.However, the application of PNI in AMI needs verification. This was a prospective cohort study. Patients diagnosed with AMI were enrolled. PNI was calculated as (serum albumin (SA in g/L)) + (5 × total lymphocyte count (TLC) × 10⁹/L). Modified PNI (mPNI) was analyzed by logistic regression analysis to reset the proportion of SA and TLC. The primary outcome was all-cause death. A total of 598 patients were enrolled; 73 patients died during follow-up. The coefficient of SA and TLC in the mPNI formula was approximately 2:1. The area under the receiver operating characteristic curve of SA, TLC, PNI, mPNI and GRACE in predicting death for patients with AMI was 0.718, 0.540, 0.636, 0.721 and 0.825, respectively. Net reclassification improvement (NRI) between PNI and mPNI was 0.230 (p < 0.001). Integrated discrimination improvement (IDI) was 0.042 (p = 0.001). Decision curve analysis revealed that mPNI had better prognostic value for patients with AMI than PNI; however, it was not superior to SA. Thus, PNI may not a reliable prognostic predictor of AMI; after resetting the formula, the value of PNI in predicting prognosis of AMI is almost entirely due to SA.