scholarly journals Predictive value of fragmented QRS for ventricular tachyarrhythmias in patients with acute myocardial infarction: A meta‐analysis

2019 ◽  
Vol 50 (2) ◽  
Author(s):  
Shangbo Xu ◽  
Lihua Yang ◽  
Danhua Hong ◽  
Lan Chen ◽  
Xin Wang
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Predictive Value ◽  
Meta Analysis ◽  
Ventricular Tachyarrhythmias ◽  
Fragmented Qrs

scholarly journals The Prognostic Value of Early Repolarization Pattern for the Ventricular Tachyarrhythmias of Acute Myocardial Infarction Patients: A Meta-Analysis

Cardiology ◽  
2019 ◽  
Vol 144 (3-4) ◽  
pp. 69-75
Author(s):  
Shangbo Xu ◽  
Lihua Yang ◽  
Danhua Hong ◽  
Lan Chen ◽  
Xin Wang
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Ventricular Tachyarrhythmias ◽  
Early Repolarization ◽  
The Cochrane Library ◽  
The Relationship

Several studies have indicated that early repolarization (ER) is a risk factor for ventricular tachyarrhythmias (VTAs) in acute myocardial infarction (AMI) patients. The prognostic values of ER detail characteristics except J-point morphology, and inferior leads ER location for VTAs are still unclear. We searched PubMed, Embase, and the Cochrane Library for eligible studies up to March 4, 2019. Studies to investigate the relationship between ER and the incidence of VTAs in AMI patients were extracted. A total of 10 studies with 2,672 participants were included in the analysis. ER significantly predicted the incidence of VTAs (odds ratio [OR] 3.62, 95% confidence intervals [CI] 2.77–4.73), regardless of the type of AMI. The presence of ER before AMI (OR 5.58, 95% CI 3.41 to 9.12) and after AMI (OR 3.02, 95% CI 2.19–4.15) increased the risk of VTAs. The prognostic value of ER for VTAs in the long follow-up (≥30 days) (OR 2.39, 95% CI 1.59–3.59) fell by half compared to the short follow-up duration (<30 days) (OR 4.97, 95% CI 3.48–7.09). Patients with ER displayed a higher risk of developing ventricular fibrillation (VF) (OR 6.94, 95% CI 3.87–12.43) than those without ER. However, neither J-point elevation with OR = 2.48 nor lateral leads’ ER location with OR = 3.83 remarkably increased the risk of VTAs in patients with AMI. ER is significantly associated with increasing risk of VTAs, particularly VF, in AMI patients. This relationship is weaker in the 30-day follow-up and is not reinforced by J-point elevation and lateral leads’ ER location.

Metabolomics Study Revealing the Potential Risk and Predictive Value of Fragmented QRS for Acute Myocardial Infarction

2020 ◽  
Vol 19 (8) ◽  
pp. 3386-3395
Author(s):  
Jiankang Li ◽  
Wenting Duan ◽  
Lin Wang ◽  
Yiqing Lu ◽  
Zhaozhao Shi ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Potential Risk ◽  
Predictive Value ◽  
Fragmented Qrs ◽  
Metabolomics Study

scholarly journals Performance of the ESC 0/3-hour algorithm for rapid triage of myocardial infarction: systematic review and meta-analysis

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Chiang ◽  
C.H Chiang ◽  
G.H Lee ◽  
C.C Lee
Keyword(s):  
Myocardial Infarction ◽  
Predictive Value ◽  
Meta Analysis ◽  
Pooled Analysis ◽  
Public Institution ◽  
Systematic Evaluation ◽  
Funding Source ◽  
Cochrane Central Register ◽  
Comparative Performance ◽  
Rule Out

Abstract Objective The European Society of Cardiology (ESC) 0/3-hour algorithm is one of the most widely strategies used for rule-out or rule-in of acute myocardial infarction (AMI). However, a systematic evaluation of its performance has not been conducted. Furthermore, recent studies showed that the 0/3-hour algorithm is non-superior to the 0/1-hour algorithm. Purpose This study aims to summarize the safety and efficacy of the 0/3-hour algorithm and its comparative performance with the 0/1-hour algorithm. Methods We conducted literature search on PubMed, Embase, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials for studies published between 1 January 2008 and 31 May 2019. A bivariate random-effects meta-analysis was used to estimate the primary and secondary outcomes, defined as index myocardial infarction and triage efficacy, major adverse cardiac event (MACE) or mortality at 30 days, respectively. Results A total of 10,832 patients from 9 studies with a pooled AMI prevalence of 16% were analyzed. The 0/3-hour algorithm ruled out 69% of the patients with a pooled sensitivity of 94.2% [95% CI: 87.6%–97.4%] and negative predictive value of 98.6% [95% CI: 97.0%–99.4%]; 17% of the patients were ruled in with a pooled specificity of 94.9% [95% CI: 88.6%–97.8%] and positive predictive value of 72.9% [95% CI: 54.6%–85.7%]. The 30-day mortality and 30-day MACE for patients that were ruled out were 0.0% [95% CI: 0.0%–0.0%] and 1.4% [95% CI: 0.9%–2.0%], respectively. In a pooled analysis of 3 cohorts, the 0/3-hour algorithm had a non-superior sensitivity compared with the 0/1-hour algorithm (94.4% [95% CI: 87.0%–97.7%] vs. 98.4% [95% CI: 95.4%–99.7%]). The 0/3-hour algorithm also had a similar rule-out efficacy compared with the 0/1-hour algorithm (52% [95% CI: 39%–65%] vs. 53% [95% CI: 42%–64%]). Conclusion The widely used 0/3-hour algorithm has sensitivity substantially below the consensus goal of 99% and may not be sufficiently safe for triage of myocardial infarction. Furthermore, the 0/3-hour algorithm is not superior to the 0/1-hour algorithm despite the additional triage time. Performance of ESC 0/3-hour algorithm Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): Taiwan National Ministry of Science and Technology Grants

scholarly journals Incidence and risk factors of delirium after percutaneous coronary intervention in individuals hospitalised for acute myocardial infarction: protocol for a systematic review and meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e044564
Author(s):  
Kaizhuang Huang ◽  
Jiaying Lu ◽  
Yaoli Zhu ◽  
Tao Cheng ◽  
Dahao Du ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Systematic Review ◽  
Acute Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Risk Factor ◽  
Meta Analysis ◽  
Coronary Intervention ◽  
Cochrane Library ◽  
Percutaneous Coronary

IntroductionDelirium in the postoperative period is a wide-reaching problem that affects important clinical outcomes. The incidence and risk factors of delirium in individuals with acute myocardial infarction (AMI) after primary percutaneous coronary intervention (PCI) has not been completely determined and no relevant systematic review and meta-analysis of incidence or risk factors exists. Hence, we aim to conduct a systematic review and meta-analysis to ascertain the incidence and risk factors of delirium among AMI patients undergoing PCI.Methods and analysesWe will undertake a comprehensive literature search among PubMed, EMBASE, Cochrane Library, PsycINFO, CINAHL and Google Scholar from their inception to the search date. Prospective cohort and cross-sectional studies that described the incidence or at least one risk factor of delirium will be eligible for inclusion. The primary outcome will be the incidence of postoperative delirium. The quality of included studies will be assessed using a risk of bias tool for prevalence studies and the Cochrane guidelines. Heterogeneity of the estimates across studies will be assessed. Incidence and risk factors associated with delirium will be extracted. Incidence data will be pooled. Each risk factor reported in the included studies will be recorded together with its statistical significance; narrative and meta-analytical approaches will be employed. The systematic review and meta-analysis will be presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.Ethics and disseminationThis proposed systematic review and meta-analysis is based on published data, and thus there is no requirement for ethics approval. The study will provide an up to date and accurate incidence and risk factors of delirium after PCI among patients with AMI, which is necessary for future research in this area. The findings of this study will be disseminated through publication in a peer-reviewed journal.PROSPERO registration numberCRD42020184388.

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

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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