Prognostic value of inflammatory biomarkers and GRACE score for cardiac death and acute kidney injury after acute coronary syndromes

Neutrophil Percentage as a Potential Biomarker of Acute Kidney Injury Risk and Short-Term Prognosis in Patients with Acute Myocardial Infarction in the Elderly

Objective

This study aimed to explore the association of preoperative neutrophil percentage (NEUT%) with the risk of acute kidney injury (AKI) in patients with acute myocardial infarction (AMI) having undergone coronary interventional therapy.

Methods

A single-center, retrospective and observational study was conducted. From December 2012 to June 2021, patients with AMI were enrolled and divided into AKI group and non-AKI group. The NEUT% in the two groups was compared. The association between NEUT% with the risk of post-AMI AKI was analyzed by univariate and multivariable logistic regression. Kaplan-Meier survival curve was drawn to evaluate the prognostic ability of NEUT% for short-term all-cause death following AMI.

Results

A total of 3001 consecutive patients were enrolled with an average age of 64.38 years. AKI occurred in 327 (10.9%) patients. The NEUT% was higher in the AKI group than in the non-AKI group ([76.65±11.43]% versus [73.22±11.83]%, P<0.001). NEUT% was also identified as an independent risk factor for AKI in AMI patients after adjustment (OR=1.021, 95% CI: 1.010-1.033, P < 0.001). Compared with those at the lowest quartile of NEUT%, the patients at quartiles 2-4 had a higher risk of AKI (P for trend = 0.003). The odds of AKI increased by 29.0% as NEUT% increased by 1 standard deviation (OR=1.290, 95% CI: 1.087-1.531, P = 0.004). After a median of 35 days follow-up, 93 patients died. Patients with a higher NEUT% presented a higher risk of all-cause death after AMI (Log rank: χ2 =24.753, P<0.001).

Conclusion

In AMI patients, the peripheral blood NEUT% was positively associated with the odds of AKI and short-term all-cause mortality. NEUT% may provide physicians with more information about disease development and prognosis.

Evaluation of C-reactive protein as predictor of adverse prognosis in acute myocardial infarction after percutaneous coronary intervention: A systematic review and meta-analysis from 18,715 individuals

BACKGROUND

Proper prognostic biomarker is of great importance for clinical decision-making in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). Although recently emerges plenty of novel inflammatory biomarkers, the canonical inflammatory mediator C-reactive protein still plays an important role in prognosing adverse post-infarction complications.

METHODS

PubMed, Embase, and Medline were systematically searched from the establishment of databases up to December 2021, conforming with standards set forth by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.

RESULTS

A total of 23 studies were eventually eligible for this meta-analysis, including 18,715 individuals. Our findings showed that elevated C-reactive protein (CRP) had a statistically significant superiority in predicting all-cause mortality (OR: 3.22, 95% CI: [2.71, 3.84], p < 0.00001), cardiovascular death (OR: 3.26, 95% CI: [2.30, 4.61], p < 0.00001), major adverse cardiovascular events (MACEs) (OR: 2.85, 95% CI [2.08, 3.90], p < 0.00001), heart failure (OR: 2.29, 95% CI: [1.48, 3.54], p = 0.0002), recurrent myocardial infarction (OR: 1.76, 95% CI: [1.28, 2.43], p < 0.001), and restenosis (OR: 1.71, 95% CI: [1.18, 2.47], p = 0.004). Subgroup analysis implies that CRP had better performance in predicting plenty of hospitalization and short-term (<12 months) adverse prognosis than long-term prognosis and Asian patients with elevated CRP were under more risk in adverse prognosis after PCI than Europeans.

CONCLUSION

Our meta-analysis suggests that CRP is a prospective predictor of the prognosis in patients with AMI undergoing PCI, especially in hospitalization and short-term and in the Asian group.

Association between neutrophil percentage-to-albumin ratio and contrast-associated acute kidney injury in patients without chronic kidney disease undergoing percutaneous coronary intervention

BACKGROUND

Neutrophil and albumin are well-known biomarkers of inflammation, which are highly related to contrast-associated acute kidney injury (CA-AKI). We aim to explore the predictive value of neutrophil percentage-to-albumin ratio (NPAR) for CA-AKI and long-term mortality in patients without chronic kidney disease (CKD) undergoing elective percutaneous coronary intervention (PCI).

METHODS

We retrospectively observed 5083 consenting patients from January 2012 to December 2018. CA-AKI was defined as an increase in serum creatinine ≥50% or 0.3 mg/dL within 48 h after contrast medium exposure.

RESULTS

The incidence of CA-AKI was 5.6% (n=286). The optimal cut-off value of NPAR for predicting CA-AKI was 15.7 with 66.8% sensitivity and 61.9% specificity [C statistic=0.679; 95% confidence interval (CI), 0.666-0.691]. NPAR displayed higher area under the curve values in comparison to neutrophil percentage (p < 0.001) and neutrophil-to-albumin ratio (NAR) (p < 0.001), but not albumin (p = 0.063). However, NPAR significantly improved the prediction of CA-AKI assessed by the continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) compared to neutrophil percentage (NRI=0.353, 95% CI: 0.234-0.472, p < 0.001; IDI=0.017, 95% CI: 0.010-0.024, p < 0.001) and albumin (NRI=0.141, 95% CI: 0.022-0.260, p = 0.020; IDI=0.009, 95% CI: 0.003-0.015, p = 0.003) alone. After adjusting for potential confounding factors, multivariate analysis showed that NPAR >15.7 was a strong independent predictor of CA-AKI (odds ratio =1.90, 95% CI: 1.38-2.63, p < 0.001). Additionally, NPAR >15.7 was significantly associated with long-term mortality during a median of 2.9 years of follow-up (hazard ratio =1.68, 95% CI: 1.32-2.13; p < 0.001).

CONCLUSIONS

NPAR was an independent predictor of CA-AKI and long-term mortality in patients without CKD undergoing elective PCI.