Associations of the Prognostic Nutritional Index with the Cardiac Function and Survival after Cardiac Resynchronization Therapy

The change in nutritional status is related to cardiovascular events in patients with pacemaker implantation: A 4-year follow-up study

Background

The aim of our study was to evaluate changes in nutritional status as measured by the prognostic nutritional index (PNI) and geriatric nutritional risk index (GNRI) scores, and their abilities to predict clinical prognosis in patients with pacemaker implantation (PMI).

Methods

A total of 595 patients who underwent permanent PMI from January 2011 to December 2020 were included. PNI and GNRI scores were separately calculated at the beginning day of PMI operation and at the end of 12-month follow-up, and their net changes (Δ) were calculated by PNI or GNRI scores at follow-up minus the corresponding scores on admission. The cohort patients were divided into low risk of malnutritional status (ΔPNI or ΔGNRI scores ≥ 0) and high risk of malnutritional status (ΔPNI or ΔGNRI scores < 0) groups. Primary outcome measure was a composite major adverse cardiovascular event (MCE), defined as heart failure hospitalization (HFH), myocardial infarction (MI), stroke, or death from any cause, presented as hazard ratios (HR) with 95% confidence intervals (CI) calculated by MCE in the crude or multivariate-adjusted Cox Proportional Hazards models. Receiver operating characteristic (ROC) curve analysis was used to compare the differential ability to predict incident MCEs betweenΔPNI andΔGNRI scores.

Results

In total, 16% of patients developed the MCE during the follow-up. The cumulative event rates determined by Kaplan–Meier analysis were significantly higher in the high risk of malnutritional patients compared to the low risk of malnutritional patients (P < 0.05). Adjusted multivariate analysis showed that decreased PNI scores (HR: 2.228, 95% CI: 1.482–3.350) and decreased GNRI scores (HR: 2.178, 95% CI: 1.439–3.295) were independently associated with favorable outcomes. ROC curve analysis revealed an area under curve (AUC) of 0.586 forΔPNI scores and AUC of 0.592 for ΔGNRI scores, but their predictive abilities were not statistically different.

Conclusion

Either positive change of PNI or GNRI scores were associated with reduced risk of MCEs in patients with PMI, and they have similar ability to predict clinical cardiometabolic risk. Additional enhancing nutritional status during follow-up may help to prevent unfavorable prognosis in clinical practices.

Relationship Between Prognostic Nutrition Index and New York Heart Association Classification in Patients with Coronary Heart Disease: A RCSCD-TCM Study

Aim

This study aimed to elucidate the relationship between the prognostic nutrition index (PNI) of patients with coronary heart disease (CHD) and the New York Heart Association (NYHA) classification and the complex relationship between PNI combined body mass index (BMI) and NYHA classification.

Methods

The PNI was applied to 17,413 consecutive patients with CHD. Patients were divided into three groups according to PNI: normal nutrition (PNI ≥ 38), moderate malnutrition (35 < PNI < 38), and severe malnutrition (PNI ≤ 35). A total of 2,052 CHD patients with BMI were selected and stratified by combined subgroups of nutritional status and BMI. Logistic regression analysis was used to evaluate the relationship between the PNI and NYHA classification and to adjust for confounding factors.

Results

The prevalence of malnutrition among the 17,413participants with CHD was 4.2%. Moderate and severe malnutrition were significantly related to NYHA class III and V, and the strongest relationship was observed in NYHA class V (odd ratio [OR]: 6.564; 95% confidence interval [CI]: 4.043–10.658). Malnourished-underweight patients and malnourished-overweight patients were significantly associated with higher NYHA classification, and malnourished-underweight patients (OR: 8.038; 95% CI: 2.091–30.892) were significantly more than malnourished-overweight patients (OR: 3.580; 95% CI: 1.286–9.966).

Conclusion

There were differences in the NYHA classification of CHD patients with different nutritional statuses. The lower the PNI, the worse the NYHA classification of CHD patients. Malnourished-underweight patients had a worse NYHA classification than malnourished-overweight patients.