Activation of the Nitric Oxide Pathway and Acute Myocardial Infarction Complicated by Acute Kidney Injury

Background/Aims: The pathophysiology of acute kidney injury (AKI) in ST-elevation myocardial infarction (STEMI) patients remains poorly explored. The involvement of the nitric oxide (NO) pathway has been demonstrated in experimental ischemic AKI. The aim of this study was to assess the predictive value of circulating biomarkers of the NO pathway for AKI in STEMI patients. Methods: Four hundred and twenty-seven STEMI patients treated with primary percutaneous coronary intervention were included. The primary end point was AKI. Biomarkers of the NO pathway (plasma superoxide dismutase [SOD], uric acid, nitrite/nitrate [NOx], neopterin) as well as cardiac biomarkers (B-type natriuretic peptide [BNP] and troponin) were sampled 12 h after admission. The predictive value of circulating biomarkers was evaluated in addition to the multivariate clinical model. Results: AKI developed in 8.9% of patients. The 3-month mortality was significantly higher in patients with AKI (34.2 vs. 4.1%; p < 0.001). SOD, uric acid, NOx, neopterin, BNP and troponin were significantly associated with the development of AKI (area under curve [AUC]-receiver operating curve [ROC] ranging between 0.70 and 0.81). In multivariate analysis cardiogenic shock, neopterin, NOx and troponin were independent predictors of AKI. AUC-ROC of the association of multibiomarkers and clinical model was 0.90 and outperformed the predictive value of the clinical model alone. OR of NOx ≥45 µmol/L was 8.0 (95% CI 3.1–20.6) for AKI. Conclusion: Biomarkers of the NO pathway are associated with the development of AKI in STEMI patients. These results provide insights into the pathophysiology of AKI and may serve at developing preventing strategies for AKI targeting this pathway.

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Predictive value of stress hyperglycemia ratio for the occurrence of acute kidney injury in acute myocardial infarction patients with diabetes

BMC Cardiovascular Disorders ◽

10.1186/s12872-021-01962-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Side Gao ◽

Qingbo Liu ◽

Hui Chen ◽

Mengyue Yu ◽

Hongwei Li

Keyword(s):

Myocardial Infarction ◽

Acute Myocardial Infarction ◽

Acute Kidney Injury ◽

Cardiogenic Shock ◽

Predictive Value ◽

Kidney Injury ◽

Left Ventricular Ejection ◽

Diabetic Patients ◽

Stress Hyperglycemia ◽

Patients With Diabetes

Abstract Background Acute hyperglycemia has been recognized as a robust predictor for occurrence of acute kidney injury (AKI) in nondiabetic patients with acute myocardial infarction (AMI), however, its discriminatory ability for AKI is unclear in diabetic patients after an AMI. Here, we investigated whether stress hyperglycemia ratio (SHR), a novel index with the combined evaluation of acute and chronic glycemic levels, may have a better predictive value of AKI as compared with admission glycemia alone in diabetic patients following AMI. Methods SHR was calculated with admission blood glucose (ABG) divided by the glycated hemoglobin-derived estimated average glucose. A total of 1215 diabetic patients with AMI were enrolled and divided according to SHR tertiles. Baseline characteristics and outcomes were compared. The primary endpoint was AKI and secondary endpoints included all-cause death and cardiogenic shock during hospitalization. The logistic regression analysis was performed to identify potential risk factors. Accuracy was defined with area under the curve (AUC) by a receiver-operating characteristic (ROC) curve analysis. Results In AMI patients with diabetes, the incidence of AKI (4.4%, 7.8%, 13.0%; p < 0.001), all-cause death (2.7%, 3.6%, 6.4%; p = 0.027) and cardiogenic shock (4.9%, 7.6%, 11.6%; p = 0.002) all increased with the rising tertile levels of SHR. After multivariate adjustment, elevated SHR was significantly associated with an increased risk of AKI (odds ratio 3.18, 95% confidence interval: 1.99–5.09, p < 0.001) while ABG was no longer a risk factor of AKI. The SHR was also strongly related to the AKI risk in subgroups of patients. At ROC analysis, SHR accurately predicted AKI in overall (AUC 0.64) and a risk model consisted of SHR, left ventricular ejection fraction, N-terminal B-type natriuretic peptide, and estimated glomerular filtration rate (eGFR) yielded a superior predictive value (AUC 0.83) for AKI. Conclusion The novel index SHR is a better predictor of AKI and in-hospital mortality and morbidity than admission glycemia in AMI patients with diabetes.

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Predictive Value of Serum Creatinine, Blood Urea Nitrogen, Uric Acid, and β2-Microglobulin in the Evaluation of Acute Kidney Injury after Orthotopic Liver Transplantation

Chinese Medical Journal ◽

10.4103/0366-6999.230726 ◽

2018 ◽

Vol 131 (9) ◽

pp. 1059-1066 ◽

Cited By ~ 5

Author(s):

Hai-Yang Lu ◽

Xin-Yu Ning ◽

Ying-Qi Chen ◽

Shu-Jun Han ◽

Ping Chi ◽

...

Keyword(s):

Liver Transplantation ◽

Acute Kidney Injury ◽

Uric Acid ◽

Serum Creatinine ◽

Orthotopic Liver Transplantation ◽

Blood Urea Nitrogen ◽

Predictive Value ◽

Kidney Injury ◽

Urea Nitrogen ◽

Β2 Microglobulin

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Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients

BMC Cardiovascular Disorders ◽

10.1186/s12872-021-02155-7 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Wen Wei ◽

Lingyu Zhang ◽

Yunhan Zhang ◽

Ronghui Tang ◽

Miao Zhao ◽

...

Keyword(s):

Myocardial Infarction ◽

Acute Kidney Injury ◽

Creatine Kinase ◽

Predictive Value ◽

Bootstrap Method ◽

External Validation ◽

Kidney Injury ◽

Clearance Ratio ◽

Data Set ◽

Creatine Kinase Mb

Abstract Background Predictive value of creatine kinase MB (CK-MB) for contrast-induced acute kidney injury (CI-AKI) among myocardial infarction (MI) patients has rarely been reported. We aim to evaluate the predictive value of CK-MB for CI-AKI among MI patients. Methods Totally, 1131 MI patients were included from the REduction of rIsk for Contrast-Induced Nephropathy (REICIN) study. The peak CK-MB before coronary angiography (CAG) was chosen. The study population was divided into two groups by log-transformed CK-MB cut-off point. The association between CK-MB and CI-AKI was tested by multivariable logistic regression. CK-MB was integrated with Age, creatinine and ejection fraction (ACEF) score and Mehran risk score (MRS) to evaluate the additive value of CK-MB. The integrated models were validated internally by the bootstrap method and externally by the PREdictive Value of COntrast voluMe to creatinine Clearance Ratio (PRECOMIN) study data set. Results Overall, 62(5.48%) patients developed CI-AKI, patients with CK-MB point > 4.7 displayed a higher incidence of CI-AKI than those without (11.9% vs. 4.0%, p < 0.001). CK-MB point > 4.7 was independently associated with CI-AKI (adjusted OR: 3.40, 95% CI: 1.93–5.98, p < 0.001). The additions of CK-MB to ACEF score, Mehran score A and Mehran score B resulted in increases in C-statistics, which ranged from 0.680 to 0.733 (p = 0.046), 0.694 to 0.727 (p = 0.091), 0.704 to 0.734 (p = 0.102), respectively. Internal validation also showed increases in C-statistics, and external validation performed well in discrimination and calibration. Conclusions Preprocedural peak CK-MB was a predictor of CI-AKI among MI patients.

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