The Predictive Value of N-Terminal Probrain Natriuretic Peptide for Infection in Patients With Acute Myocardial Infarction
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ABSTRACT:
SUBMITTER: Dai Y
PROVIDER: S-EPMC8424116 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundPredictive 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.MethodsTotally, 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.ResultsOverall, 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.ConclusionsPreprocedural peak CK-MB was a predictor of CI-AKI among MI patients.
| S-EPMC8276394 | biostudies-literature
Project description:BackgroundOur study aimed to investigate the association between type D personality and adverse cardiac events in chinese patients after acute myocardial infarction (AMI).MethodsPatients with AMI admitted to cardiac care unit (CCU) of China-Japan Friendship Hospital, Beijing, China between January 2016 and December 2017 were enrolled. 257 patients completed psychological questionnaires at enrollment. Type D personality was assessed with 14-item Type D Scale-14 (DS14). Anxiety and depression were quantified using Hospital Anxiety and Depression Scale (HADS). Multivariable logistic regression analysis was used to determine the independent predictors of in-hospital major adverse cardiac events (MACEs), while cox regression analysis was used to evaluate post-discharge endpoints.Results54 patients (21%) were classified as Type D personality defined by the combination of a negative affectivity (NA) score ≥ 10 and a social inhibition (SI) score ≥ 10 on the DS14. Patients with Type D personality displayed significantly higher scores of anxiety (7.4 ± 3.1 vs. 4.2 ± 3.1, p < .001) and depression (7.2 ± 3.8 vs. 4.0 ± 3.4, p < .001). AMI patients with Type D personality had higher prevalence rates of anxiety (χ2 = 30.095, P < .001) and depression (χ2 = 27.082, P < .001). Type D group also displayed a significantly higher level of blood lipoprotein(a) (177.2 ± 200.7 vs. 118.1 ± 255.7 mg/L, P = .048). The incidence of in-hospital MACEs was higher in type D than in non-Type D patients (24.1% vs. 11.3%, χ2 = 5.751, P = .026). Multivariable logistic regression showed three significant independent predictors of in-hospital MACEs: age [odds ratio(OR) = 1.055; 95%CI 1.016-1.095, p = .004], type-D personality(OR 3.332; 95% CI 1.149-9.661, p = .014) and killip classification(OR 2.275, 95% CI 1.506-3.437, p < .001). The average follow-up time was 31 (23-37.5) months. Type D patients had higher incidences of post-discharge events(23.1% vs. 11.5%, p = .032). In the analysis of post-discharge events by Cox regression, χ2 of the Cox regression equation was 16.795 (P = .032). Smoking (HR 2.602; 95% CI1.266-5.347, p = .009) and type-D personality (HR 2.265; 95%CI 1.028-4.988, p = .042) were independent predictors of long-term cardiac events. Kaplan-Meier curves showed significant difference in event-free survival between type D and non-type D group (p = .043).ConclusionsType D personality is an independent predictor of in-hospital and post-discharge cardiac events after AMI in Chinese patients.
| S-EPMC10648328 | biostudies-literature
Project description:The electrocardiogram (ECG) is an important diagnostic tool for patients with suspected acute myocardial infarction (AMI). Current guidelines recommend serial ECGs in case of persisting symptoms. We aimed to analyze the predictive value of ischemic ECG-signs in patients with suspected AMI. Patients presenting to the emergency department with suspected AMI were included. All patients with ST-elevation AMI were excluded from analyses. Patients received 12-lead-ECG and high-sensitive Troponin T (hs-TnT)-measurement at admission and after 3 h. Four groups were defined: no ischemic signs in either ECG; new ischemic signs in the second ECG; resolved ischemic signs in the second ECG; and persistent ischemic signs in both ECGs. Patients were followed for 2 years to assess the composite endpoint of all-cause-mortality, AMI, and coronary revascularization. Using a 30-day landmark analysis, a Cox regression with ischemic signs as the variable of interest, adjusted by cardiovascular risk factors, was calculated. Of 1675 patients, 1321 showed no ischemic signs, in 25 new-, in 92 resolved- and in 237 patients, persistent ischemic signs were documented. Patients with persistent ischemic signs had significantly worse outcomes, compared to those without. Compared to no ischemic signs, adjusted hazard ratios for the combined endpoint were 0.81 (95% CI 0.20, 3.31; p-value = 0.77) for new-, 0.59 (95% CI 0.26, 1.34; p-value = 0.21) for resolved-, and 1.47 (95% CI 1.102, 2.13; p-value = 0.041) for persistent ischemic signs. In patients with suspected AMI, persistent ischemic ECG-signs are predictive of a higher rate of all-cause-mortality, AMI, and revascularization.
| S-EPMC7408822 | biostudies-literature
Project description:BackgroundReal-world data on the clinical outcomes of heart failure (HF) across the spectrum of ejection fraction (EF) and the prognostic value of B-type natriuretic peptide (BNP) have not been well examined.HypothesisThe real-world association between the clinical outcomes of HF and EF or BNP levels may differ across different EF or BNP values.MethodsThe Optum Integrated Claims-Clinical data (07/2009-09/2016) was used to identify adult patients with ?1 HF diagnosis during hospitalization or emergency room visit. Three EF cohorts were formed: reduced (rEF; EF < 40%), mid-range (mrEF; EF 40%-49%), and preserved EF (pEF; EF ? 50%). Stratifications by BNP levels were performed using median BNP as cutoff between high vs low BNP (H-BNP vs L-BNP).ResultsIn total, 7005 HF patients with EF measurements (2456 patients with both HF and BNP measurements) were identified. rEF patients had higher risk of stroke (hazard ratio [HR] = 1.57, P = 0.010) and acute myocardial infarction (AMI) (HR = 2.42, P < 0.001) compared to pEF patients. H-BNP was associated with a significantly higher risk of mortality (P < 0.001). rEF patients with H-BNP had a significantly higher risk of stroke than those with L-BNP.ConclusionsPatients with rEF had a significantly higher rate of stroke and AMI vs pEF patients, as did patients with H-BNP vs L-BNP. The present study is the first to show the real-world association of EF and BNP (alone and in combination) with clinical outcomes, further supporting the recommendation to use these markers in clinical practice. These results may help to guide future recommendations and improve the clinical management of HF.
| S-EPMC6712323 | biostudies-literature
Project description:BackgroundIn clinical practice, heart failure often occurs after acute myocardial infarction, and a new biomarker for its early prediction is urgently needed. The aim of this study was to investigate the relationship between serum iron and heart failure after acute ST-segment elevation myocardial infarction (STEMI).MethodsA total of 41 patients with heart failure after STEMI and 31 controls were included in the study. The demographic variables and baseline clinical characteristics of both groups were analyzed.ResultsThere were no significant differences between patients with heart failure and controls in terms of demographic characteristics. There were significant differences in terms of serum iron, N terminal pro-B-type natriuretic peptide levels, left atrial diameter, and left ventricular ejection fraction. Binary logistic regression analyses demonstrated that serum iron (odds ratio [OR]: 0.804, 95% confidence interval [CI]: 0.699-0.924) and Tn-I (OR: 1.072, 95% CI: 1.011-1.137) were independent predictors for heart failure (p < .05, respectively). Receiver operating characteristic analysis showed that the area under the curve for serum iron was 0.808 (95% CI: 0.707-0.908, p < .01). The best cutoff value of serum iron was 11.87 μmol/L (sensitivity: 87.1%; specificity: 68.3%).ConclusionsPatients with heart failure after STEMI have lower serum iron levels than patients without heart failure after STEMI. Serum iron levels are a risk factor for heart failure after STEMI.
| S-EPMC10106665 | biostudies-literature
Project description:BackgroundAcute 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.MethodsSHR 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.ResultsIn 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.ConclusionThe novel index SHR is a better predictor of AKI and in-hospital mortality and morbidity than admission glycemia in AMI patients with diabetes.
| S-EPMC8008672 | biostudies-literature
Project description:ObjectiveTo evaluate the association between N-terminal pro-B-type natriuretic peptide (NT-proBNP) and risk of post-operative acute kidney injury (PO-AKI).MethodsThe electronic medical records and laboratory results were obtained from 3,949 adult patients (≥18 years) undergoing non-cardiac surgery performed between 1 October 2012 to 1 October 2019 at the Third Xiangya Hospital, Central South University, China. Collected data were analyzed retrospectively.ResultsIn all, 5.3% (209 of 3,949) of patients developed PO-AKI. Pre-operative NT-proBNP was an independent predictor of PO-AKI. After adjustment for significant variables, OR for AKI of highest and lowest NT-proBNP quintiles was 1.96 (95% CI, 1.04-3.68, P = 0.008), OR per 1-unit increment in natural log transformed NT-proBNP was 1.20 (95% CI, 1.09-1.32, P < 0.001). Compared with clinical variables alone, the addition of NT-proBNP modestly improved the discrimination [change in area under the curve(AUC) from 0.82 to 0.83, ΔAUC=0.01, P = 0.024] and the reclassification (continuous net reclassification improvement 0.15, 95% CI, 0.01-0.29, P = 0.034, improved integrated discrimination 0.01, 95% CI, 0.002-0.02, P = 0.017) of AKI and non-AKI cases.ConclusionsResults from our retrospective cohort study showed that the addition of pre-operative NT-proBNP concentrations could better predict post-operative AKI in a cohort of non-cardiac surgery patients and achieve higher net benefit in decision curve analysis.
| S-EPMC9244627 | biostudies-literature
Project description:(1) Background: Patients with acute myocardial infarction (AMI) still experience many major adverse cardiovascular events (MACEs), including myocardial infarction, heart failure, kidney failure, coronary events, cerebrovascular events, and death. This retrospective study aims to assess the prognostic value of machine learning (ML) for the prediction of MACEs. (2) Methods: Five-hundred patients diagnosed with AMI and who had undergone successful percutaneous coronary intervention were included in the study. Logistic regression (LR) analysis was used to assess the relevance of MACEs and 24 selected clinical variables. Six ML models were developed with five-fold cross-validation in the training dataset and their ability to predict MACEs was compared to LR with the testing dataset. (3) Results: The MACE rate was calculated as 30.6% after a mean follow-up of 1.42 years. Killip classification (Killip IV vs. I class, odds ratio 4.386, 95% confidence interval 1.943-9.904), drug compliance (irregular vs. regular compliance, 3.06, 1.721-5.438), age (per year, 1.025, 1.006-1.044), and creatinine (1 µmol/L, 1.007, 1.002-1.012) and cholesterol levels (1 mmol/L, 0.708, 0.556-0.903) were independent predictors of MACEs. In the training dataset, the best performing model was the random forest (RDF) model with an area under the curve of (0.749, 0.644-0.853) and accuracy of (0.734, 0.647-0.820). In the testing dataset, the RDF showed the most significant survival difference (log-rank p = 0.017) in distinguishing patients with and without MACEs. (4) Conclusions: The RDF model has been identified as superior to other models for MACE prediction in this study. ML methods can be promising for improving optimal predictor selection and clinical outcomes in patients with AMI.
| S-EPMC8880640 | biostudies-literature
Project description:ObjectiveTo determine prognostic role of endothelial progenitor cells (EPCs) in intensive care patients with acute myocardial infarction (AMI).Materials and methodsFrom December 2018 to July 2021, a total of 91 eligible patients with AMI were consecutively examined in a single intensive care unit (ICU) in China. Patients with a history of acute coronary artery disease were excluded from the study. Samples were collected within 24 hr of onset of symptoms. EPCs, defined as coexpression of CD34+/CD133+ cells or CD133+/CD34+/KDR+, were studied using flow cytometry and categorized by quartiles. Based on the 28-days mortality outcome, the patients were further divided into two groups: death and survival. The study incorporated various variables, including cardiovascular risk factors such as body mass index, hypertension, diabetes, hypercholesterolemia, atherosclerotic burden, and medication history, as well as clinical characteristics such as APACHEⅡscore, central venous-arterial carbon dioxide difference (GAP), homocysteine, creatinine, C-reactive protein, HbAlc, and cardiac index. Cox regression analysis was employed to conduct a multivariate analysis.ResultsA total of 91 patients with AMI who were admitted to the ICU were deemed eligible for inclusion in the study. Among these patients, 23 (25.3%) died from various causes during the follow-up period. The counts of EPCs were found to be significantly higher in the survival group compared to the death group (P < 0.05). In the univariate analysis, it was observed that the 28-days mortality rate was associated with the several factors, including the APACHEⅡscore (P=0.00), vasoactive inotropic score (P=0.03), GAP (P=0.00), HCY (P=0.00), creatinine (P=0.00), C-reactive protein (P=0.00), HbAlc (P=0.00), CI (P=0.01), quartiles of CD34+/CD133+ cells (P=0.00), and quartiles of CD34+/CD133+/KDR+ cells (P=0.00). CD34+/CD133+/KDR+ cells retained statistical significance in Cox regression models even after controlling for clinical variables (HR: 6.258 × 10-10 and P=0.001). Nevertheless, no significant correlation was observed between CD34+/CD133+ cells and all-cause mortality.ConclusionsThe decreased EPCs levels, especially for CD34+/CD133+/KDR+ cells subsets, were an independent risk factor for 28-days mortality in AMI patients.
| S-EPMC10613116 | biostudies-literature
Project description:ObjectivesIt has been shown that blood concentrations of NT-proBNP may be useful in identifying preterm infants at risk of hemodynamically significant patent ductus arteriosus and its complications. The aim of the study was to assess predictive value of serum NT-proBNP levels for early ductus arteriosus (DA) closure in very preterm newborns.MethodsFifty-two infants <32 weeks' gestation aged <72 hours with patent ductus arteriosus (PDA) diameter >1.5 mm were involved in a randomized study. Twenty-seven (52%) of them were treated with ibuprofen or paracetamol starting within the first 3 days of life. Expectant management was applied to 25 (48%) infants. All patients underwent planned echocardiographic (daily) and two serum NT-proBNP measurements within the first 10 days after birth. Depending on the DA closure within the first 10 days of life, 2 groups of patients were formed retrospectively, with closed (n = 30) or patent (n = 22) DA by this age.ResultsIn the first 10 days of life, DA closure occurred in 19 (70%) treated infants and in 11 (44%) infants managed expectantly (p > 0,05). Initial concentrations of NT-proBNP were significantly higher in infants that had patent ductus arteriosus (PDA) at 10 days of life. By the eighth day, median NT-proBNP values in both groups significantly decreased but remained considerably higher in newborns with PDA. NT-proBNP serum concentrations on the second day of life could reliably predict DA closure within the first 10 days after birth in treated babies (the AUC was significant 0.81 [95% CI: 0.58-1.03], p < 0.05) but not in infants who were managed expectantly.ConclusionsSerum NT-proBNP concentrations on the second day of life could reliably predict early PDA closure in treated but not in expectantly managed very preterm infants.
| S-EPMC7849842 | biostudies-literature