The prognostic nutritional index might predict clinical outcomes in patients with idiopathic dilated cardiomyopathy

Association between extremely high prognostic nutritional index and all-cause mortality in patients with coronary artery disease: secondary analysis of a prospective cohort study in China

OBJECTIVES

Decreased prognostic nutritional index (PNI) was associated with adverse outcomes in many clinical diseases. This study aimed to evaluate the relationship between baseline PNI value and adverse clinical outcomes in patients with coronary artery disease (CAD).

DESIGN

The Personalized Antiplatelet Therapy According to CYP2C19 Genotype in Coronary Artery Disease (PRACTICE) study, a prospective cohort study of 15 250 patients with CAD, was performed from December 2016 to October 2021. The longest follow-up period was 5 years. This study was a secondary analysis of the PRACTICE study.

SETTING

The study setting was Xinjiang Medical University Affiliated First Hospital in China.

PARTICIPANTS

Using the 50th and 90th percentiles of the PNI in the total cohort as two cut-off limits, we divided all participants into three groups: Q1 (PNI <51.35, n = 7515), Q2 (51.35 ≤ PNI < 59.80, n = 5958) and Q3 (PNI ≥ 59.80, n = 1510). The PNI value was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm3).

PRIMARY OUTCOME

The primary outcome measure was mortality, including all-cause mortality (ACM) and cardiac mortality (CM).

RESULTS

In 14 983 participants followed for a median of 24 months, a total of 448 ACM, 333 CM, 1162 major adverse cardiovascular events (MACE) and 1276 major adverse cardiovascular and cerebrovascular events (MACCE) were recorded. The incidence of adverse outcomes was significantly different among the three groups (p <0.001). There were 338 (4.5%), 77 (1.3%) and 33 (2.2%) ACM events in the three groups, respectively. A restricted cubic spline displayed a J-shaped relationship between the PNI and worse 5-year outcomes, including ACM, CM, MACE and MACCE. After adjusting for traditional cardiovascular risk factors, we found that only patients with extremely high PNI values in the Q3 subgroup or low PNI values in the Q1 subgroup had a greater risk of ACM (Q3 vs Q2, HR: 1.617, 95% CI 1.012 to 2.585, p=0.045; Q1 vs Q2, HR=1.995, 95% CI 1.532 to 2.598, p <0.001).

CONCLUSION

This study revealed a J-shaped relationship between the baseline PNI and ACM in patients with CAD, with a greater risk of ACM at extremely high PNI values.

TRIAL REGISTRATION NUMBER

NCT05174143.

Prognostic nutritional index during hospitalization correlates with adverse outcomes in elderly patients with acute myocardial infarction: a single-center retrospective cohort study

BACKGROUND AND AIMS

Acute myocardial infarction (AMI) is one of the most prevalent illnesses endangering the elderly's health. The predictive nutritional index (PNI) has been shown in several studies to be a good predictor of nutritional prognosis. In this study, we explored the correlation between PNI during hospitalization and the outcome of elderly AMI patients.

METHODS

Elderly AMI patients in the Cardiac Intensive Care Unit of Huadong Hospital from September 2017 to April 2020 were recruited for analysis. The clinical and laboratory examination data of subjects were retrieved. All enrolled patients were monitored following discharge. The primary clinical endpoints encompass major adverse cardiovascular events (MACEs) and Composite endpoint (MACEs and all-cause mortality). Survival analyses were conducted via the Kaplan-Meier and the log-rank analyses, and the Cox, proportional hazards model, was employed for hazard rate (HR) calculation.

RESULTS

307 subjects were recruited for analysis. The optimal PNI threshold is 40.923. Based on the Kaplan-Meier analysis, the elevated PNI group experienced better prognosis (P < 0.001). Cox analysis demonstrated that the PNI group was a stand-alone predictor for elderly AMI patient prognosis (HR = 1.674, 95% CI 1.076-2.604, P = 0.022). Subgroup analysis showed that the HR of the PNI group was the highest in the ST-segment elevation myocardial infarction (STEMI) subgroup (HR = 3.345, 95% CI 1.889-5.923, P = 0.05), but no discernible difference was observed in the non-ST-segment elevation myocardial infarction (NSTEMI) subgroup.

CONCLUSION

Based on our analyses, the PNI during hospitalization can accurately predict the prognosis of elderly STEMI patients but not that of elderly NSTEMI patients.

Association between low-density lipoprotein cholesterol level and all-cause mortality in idiopathic dilated cardiomyopathy patients: a single-institutional study

AIMS

To determine the association between all-cause mortality and low-density lipoprotein cholesterol (LDL-C) in patients with idiopathic cardiomyopathy (iDCM).

BACKGROUND

LDL-C had long been considered as a dangerous predictor of cardiovascular diseases; however, the correlation between them was not fully clarified.

METHODS

A total of 1058 patients who met the World Health Organization criteria for iDCM in West China Hospital (2009-2016) were enrolled in this retrospective study. Baseline demographic characteristics and correlations between variables were calculated and analyzed, and potential predictors were explored using univariate and multivariate regressions. Cox proportional hazards models were used to determine correlation on a continuous scale.

RESULTS

LDL-C is an independent prognostic factor and higher LDL-C levels are associated with better prognosis in iDCM patients according to cox regression analysis. Compared with individuals which LDL > 2.28 mmol/L (75th-100th percentile), the multivariable-adjusted hazard ratio for all-cause mortality was 1.52 (95%CI: 1.03-2.26) in patients with LDL-C < 1.78 mmol/L (0-25th percentile). In patients with New York Heart Association function III and IV, LDL-C levels have a hazard ratio of 0.83 (confidence interval 0.73-0.95).

CONCLUSIONS

In patients with iDCM, lower LDL-C level was associated with an increased risk of all-cause mortality. The correlation between mortality and LDL-C level was stronger in patients with worse heart function. LDL-C levels have a potential predictive value in iDCM patients.

Prevalence and Prognostic Significance of Malnutrition in Patients with Abnormal Glycemic Status and Coronary Artery Disease: A Multicenter Cohort Study in China

This study sought to investigate the prevalence and prognostic significance of malnutrition in patients with an abnormal glycemic status and coronary artery disease (CAD). This secondary analysis of a multicenter prospective cohort included 5710 CAD patients with prediabetes and 9328 with diabetes. Four objective tools were applied to assess the nutritional status of the study population. The primary endpoint was all-cause death. The association of malnutrition with clinical outcomes was examined using Cox proportional hazards regression. The proportion of malnutrition varied from 8% to 57% across the assessment tools. Diabetic patients were more likely to be malnourished than prediabetic patients. During a median follow-up of 2.1 years, 456 all-cause deaths occurred. The adjusted hazard ratios and 95% confidence interval for all-cause deaths of moderate-severe malnutrition defined by different tools ranged from 1.59 (1.03, 2.46) to 2.08 (0.92, 4.73) in prediabetic patients and 1.51 (1.00, 2.34) to 2.41 (1.78, 3.27) in diabetic patients. In conclusion, malnutrition is not rare in CAD patients with abnormal glycemic status. Moderate-severe malnutrition strongly predicted all-cause death regardless of the assessment tool. Assessing the nutritional status for all CAD patients with prediabetes and diabetes to identify individuals at high risk of all-cause death may help the risk assessment and prognosis improvement.

Prognostic Nutritional Index and Major Cardiovascular Events in Patients Undergoing Invasive Coronary Angiography: A Clinical Retrospective Study

We aimed to examine whether prognostic nutritional index (PNI) could serve as an auxiliary predictor for major cardiovascular events (MCEs) in patients undergoing invasive coronary angiography (ICA). A total of 485 participants were enrolled, divided into low-PNI (≥47.40) and high-PNI (<47.40) groups. ICA determined the stenotic vessels of coronary artery disease. The primary outcome was incidental MCEs, a composite of all-cause death, non-fatal myocardial infarction, non-fatal stroke, or rehospitalization of in-stent restenosis. There were 47 (9.69%) MCEs during the 3.78-years follow-up. The cumulative incidence of MCEs was significantly higher in the low-PNI patients compared with the high-PNI patients (17.07% vs. 7.18%, p = 0.001). Malnutrition risk (low PNI) was significantly and independently associated with a higher risk of MCEs (hazard ratios: 2.593, 95% confidence intervals [CI]: 1.418−4.742). Combined use of the number of stenotic vessels with malnutrition risk showed a higher capacity to predict the MCEs than the presence of stenotic vessels alone (areas under the receiver operator characteristic curve: 0.696 [95% CI, 0.618−0.775] vs. 0.550 [95% CI, 0.466−0.633], p = 0.013). In conclusion, lower PNI levels may predict a higher risk of cardiovascular events in patients undergoing ICA, which supports the necessity of the risk assessment of nutrition status and guide the clinical treatment on strengthening nutritional support before ICA is performed, as well as nutritional intervention after ICA.

Prognostic Nutritional Index Predicts Contrast-Induced Nephropathy in Patients with Acute Coronary Syndrome

This study evaluated the effectiveness of prognostic nutritional index (PNI) in predicting contrast induced nephropathy (CIN) in patients with acute coronary syndrome (ACS). This study included 925 ACS patients (mean age 62.5 ± 12.4 years, 73.5% male); 604 were diagnosed as unstable angina pectoris/non–ST-elevation myocardial infarction (USAP/NSTEMI) and 321 as ST-elevation myocardial infarction (STEMI). The PNI formula was: 10 × serum albumin (g/dL) + .005 × total lymphocyte count (/mm3). The patients were divided into two groups: CIN (n = 232) and non-CIN (n = 693). Patients without CIN had a significantly lower PNI than patients with CIN (44.3 ± 6.9 vs 54.7 ± 7.4; P < .001). In the receiver operating characteristic (ROC) curve analysis, the cut-off value for PNI of 48.6 has 80% specificity and 81% sensitivity in predicting CIN (area under the ROC curve (AUC): .87, 95% CI [.84–.89]). PNI <48.6 (odds ratio (OR): 6.765, P < .001), pre-procedural creatinine levels (OR: 6.223, P < .001), left ventricular ejection fraction (LVEF) (OR: .960, P < .001), age (OR: 1.025, P = .005), diabetes mellitus (DM) (0R: 1.768, P = .006), contrast amount (OR: 1.003, P = .038), and having STEMI (OR: .594, P = .029) were found independently associated with CIN. PNI is a strong independent predictor of CIN in ACS patients.

Ferroptosis Related Genes in Ischemic and Idiopathic Cardiomyopathy: Screening for Potential Pharmacological Targets

Background: Ferroptosis is a new form of cell death recently discovered that is distinct from apoptosis, necrosis and autophagy. This article is expected to provide a new direction for the treatment of cardiomyopathy in the future by screening potential drug targets associated with ferroptosis.

Methods: Differential expression analysis of GSE5406 from the Gene Expression Omnibus (GEO) database was performed using the GEO2R tool. Functional annotation of ferroptosis related genes was also performed. Then we constructed protein-protein interaction networks and identified hub genes using Cytoscape. The candidates for pharmacological compounds targeting the hub genes were screened by cMap.

Results: Totally 15 ferroptosis related genes (4 upregulated and 11 downregulated) for ischemic cardiomyopathy and 17 ferroptosis related genes (13 upregulated and 4 downregulated) for idiopathic cardiomyopathy were found. The biological processes involved in these genes mainly include negative regulation of apoptotic process, flavonoid metabolic process, response to drug for ischemic cardiomyopathy and cellular response to fibroblast growth factor stimulus, negative regulation of apoptotic process, and response to drug for idiopathic cardiomyopathy. KEGG results showed that these genes were mainly involved in MAPK signaling pathway for ischemic cardiomyopathy and PI3K-Akt signaling pathway for idiopathic cardiomyopathy. We generated a co-expression network for hub genes and obtained top 10 medications suggested respectively for ischemic/idiopathic cardiomyopathy.

Conclusion: Our study reveals the potential role of ferroptosis related genes in ischemic and idiopathic cardiomyopathy through bioinformatics analysis. The hub genes and potential drugs may become novel biomarkers for prognosis and precision treatment in the future.

Prognostic Nutritional Index Predicts Contrast-Associated Acute Kidney Injury in Patients with ST-Segment Elevation Myocardial Infarction

BACKGROUND

Contrast-associated acute kidney injury (CA-AKI) previously known as contrast-induced nephropathy is associated with a worse prognosis in patients with acute ST-elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (PCI). The prognostic nutritional index (PNI) is a simple index comprised of serum albumin level and lymphocyte count which reflects the immunonutritional-inflammatory status. Recently, clinical studies have shown associations between the PNI and clinical outcomes in several cardiovascular diseases. The aim of the study was to assess the possible utilization of the PNI to predict the development of CA-AKI after primary PCI.

METHODS

We retrospectively included 836 patients (mean age 58 ± 12 years, 76% men) with STEMI treated with primary PCI. The PNI was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm³). The patients were divided into two groups according to whether or not CA-AKI developed.

RESULTS

The overall incidence of CA-AKI was 9.4%. Compared to the patients without CA-AKI, those with CA-AKI had a significantly lower PNI value (40.7 ± 3.7 vs. 35.2 ± 4.9; p < 0.001). In receiver operating characteristic curve analysis, the optimal cutoff value of the PNI to predict CA-AKI was 38, with 82% sensitivity and 70% specificity (area under the curve 0.836, p < 0.001). In multivariate logistic regression analysis, PNI < 38, body mass index and creatinine were independently associated with CA-AKI (odds ratio 11.275, 95% confidence interval 3.596-35.351; p < 0.001).

CONCLUSIONS

The PNI was inversely and significantly associated with the development of CA-AKI in acute STEMI. Assessing PNI at admission may be useful for early risk stratification of STEMI patients.

Prognostic value of pretreatment prognostic nutritional index in intravenous immunoglobulin-resistant Kawasaki disease

The aim of the present study was to investigate the potential predictive significance of pretreatment prognostic nutritional index (PNI) in intravenous immunoglobulin (IVIG) resistant Kawasaki disease (KD). The PNI, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were analyzed in 1257 eligible patients with KD. Receiver operating curve analysis was used to explore the prediction accuracy for IVIG-resistant KD. The optimal cut-off values were identified as 49.5 for PNI, 3.58 for NLR and 164.00 for PLR, respectively. Lower pretreatment PNI (< 49.5) was demonstrated to be associated with lower age, serum sodium levels and platelet counts, and with a higher incidence of IVIG resistance and higher C-reactive protein levels. There was a significantly negative association between the PNI and NLR, and PLR. Univariate and multivariate analyses revealed that PNI, NLR and PLR were independent predictive factors for IVIG resistance. The discriminatory ability of PNI was not inferior to NLR, PLR and their combination (NLR > 3.58 and PLR > 164) for predicting IVIG resistance, respectively. Pretreatment PNI may serve as a novel surrogate independent predictor for IVIG-resistant KD.

Malnutrition provides important long-term prognostic information in patients undergoing endovascular abdominal aortic aneurysm repair

OBJECTIVES

Malnutrition has been shown to be associated with survival in a variety of diseases. Our aim is to evaluate the prognostic value of objective nutritional indexes indicating malnutrition, in patients underwent endovascular aortic replacement.

METHODS

We retrospectively evaluated 149 consecutive patients who underwent technically successful endovascular aortic replacement operation between October 2010 and August 2019. Objective nutritional indexes, prognostic nutritional index, geriatric nutritional risk index and controlling nutritional status, scores were calculated using the preoperative data. Optimal cut-off values were obtained by receiver operating characteristic analysis. According to the cut-off values, we investigated the relationship between indexes and the long-term all-cause mortality.

RESULTS

During mean 48.0 ± 30.3 months follow-up duration, in 47 of patients (31.5%), all-cause mortality were documented. In mortality group, prognostic nutritional index (42.8 ± 7.1 vs 51.3 ± 5.2, p < 0.001) and geriatric nutritional risk index (100.7 ± 10.1 vs 107.6 ± 9.2, p < 0.001) were significantly lower, controlling nutritional status score (2.0 (1.0-4.0) vs 1.0 (0.0-2.0), p < 0.001) was higher when compared to survivor group. Kaplan-Meier curves presented higher mortality incidence in malnutrition patients evaluated with objective nutritional indexes (Log-rang test, for all three indexes p < 0.001). Besides Cox-proportional hazard analysis showed all three nutritional indexes may be a predictive marker for all-cause mortality, prognostic nutritional index introduced more valuable data than other two indexes.

CONCLUSIONS

Malnutrition is associated with significant increase in postoperative long-term mortality in endovascular aortic replacement patients. Preoperatively calculated objective nutritional indexes especially prognostic nutritional index can be used as an important prognostic tool.