Association Between Out-of-Hour Admission and Short- and Long-Term Mortality in Acute Myocardial Infarction: A Systematic Review and Meta-Analysis

Yu, Yue-Yan; Zhao, Bowen; Ma, Lan; Dai, Xiao-Ce

doi:10.3389/fcvm.2021.752675

Cited by 13 publications

(10 citation statements)

References 58 publications

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“…It is comparatively easy to explain this finding by the significantly greater clinical burden and co-morbidities of those patients, which had a direct impact on the increased death risk. Aspects connected with the influence of the time of MI patients’ admission to hospital on their prognosis as well as the causes of these differences have been raised many times in the literature [ 49 ]. Conclusions from these studies remain unclear and mutually contradictory.…”

Section: Discussionmentioning

confidence: 99%

Assessment of In-Hospital Mortality and Its Risk Factors in Patients with Myocardial Infarction Considering the Logistical Aspects of the Treatment Process—A Single-Center, Retrospective, Observational Study

Gawiński

Burzyńska

Marczak

et al. 2023

IJERPH

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Technological progress, such as the launching of a new generation of drug-coated stents as well as new antiplatelet drugs, has resulted in the treatment of myocardial infarction (MI) becoming much more effective. The aim of this study was to assess in-hospital mortality and to conduct an assessment of risk factors relevant to the in-hospital death of patients with MI. This study was based on an observational hospital registry of patients with MI (ACS GRU registry). For the purpose of the statistical analysis of the risk factors of death, a univariate logistic regression model was applied. In-hospital general mortality amounted to 7.27%. A higher death risk was confirmed in the following cases: (1) serious adverse events (SAEs) that occurred during the procedure; (2) patients transferred from another department of a hospital (OR = 2.647, p = 0.0056); 3) primary percutaneous coronary angioplasty performed on weekdays between 10 p.m. and 8 a.m. (OR = 2.540, p = 0.0146). The influence of workload and operator experience on the risk of death in a patient with MI has not been confirmed. The results of this study indicate the increasing importance of new risk factors for in-hospital death in patients with MI, such as selected logistical aspects of the MI treatment process and individual SAEs.

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Section: Discussionmentioning

confidence: 99%

Assessment of In-Hospital Mortality and Its Risk Factors in Patients with Myocardial Infarction Considering the Logistical Aspects of the Treatment Process—A Single-Center, Retrospective, Observational Study

Gawiński

Burzyńska

Marczak

et al. 2023

IJERPH

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“…Members of the miR-30 family are abundantly expressed in cardiac tissue and are extensively involved in the pathophysiology of a variety of heart diseases (27)(28)(29). The miR-30 family also plays a protective role in diseases, such as myocardial hypertrophy, myocardial infarction, heart failure, and ischaemia-reperfusion injury (30)(31)(32)(33). Further, a previous study showed that miR-30e-3p expression was significantly reduced after coronary microembolization (CME) (34).…”

Section: Discussionmentioning

confidence: 99%

A Nomogram model for predicting the occurrence of no-reflow phenomenon after percutaneous coronary intervention using the lncRNA TUG1/miR-30e/NPPB biomarkers

Hu¹,

Cai²,

He³

et al. 2022

J Thorac Dis

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Background: Studies have shown that percutaneous coronary intervention (PCI) is considered as the essential therapeutic strategy for the patients with ST-segment elevation myocardial infarction (STEMI).However; no-reflow could still occur in a few patients after PCI. Studies have reported that biomarkers related to no-reflow pathogenetic components could play a prognostic role in the prediction phenomenon. Hence, this study explored the establishment of nomogram model for predicting the occurrence of no-reflow phenomenon after PCI using the lncRNA TUG1/miR-30e/NPPB biomarkers in patients with STEMI after PCI.Methods: In this observational study, a total of 76 STEMI patients who underwent emergency PCI between January 2018 and December 2021were included. The patients after PCI, were divided into reflow (n=44) and no-reflow groups (n=32). The demographic, environmental and clinical risk factors were assessed and analysed between the groups. Quantitative RT-PCR was used to detect TUG1, miR-30e, and NPPB messenger RNA (mRNA) expression levels in the plasma of patients after PCI. Bioinformatic methods were used to predict the interaction of the plasma TUG1/miR-30e/NPPB axis. The risk factors in the no-reflow group were screened using a logistic-regression analysis, and a nomogram prediction model was constructed and validated. Subsequently, a gene set enrichment analysis revealed the function of lncRNA TUG1.Results: Plasma lncRNA TUG1 and NPPB were more highly expressed and miR-30e was more lowly expressed in the no-reflow group than the normal-reflow group (P<0.001). A negative correlation was observed between lncRNA TUG1 and miR-30e, and between miR-30e and NPPB. However, a positive correlation was observed between lncRNA TUG1 and NPPB mRNA. The bioinformatics analysis predicted multiple binding sites on the lncRNA TUG1 and miR-30e. LncRNA TUG1 [odds ratio (OR): 0.163, 95% confidence interval (CI): 0.021-0.944] and hs-CRP (OR: 2.151, 95% CI: 1.536-3.974) found to be as independent predictors. The C-index of this prediction model was 0.982 (95% CI: 0.956-1.000).Conclusions: TUG1 could function as an effective biomarker for no-reflow among patients with STEMI after PCT and the proposed nomogram may provide information for individualized treatment in patients with STEMI.

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“…We performed subgroup analyses based on follow-up duration, diabetic status, type of AMI, time to PCI, geographical region, adequate adjustment, study quality, and glucose level assessment. Newcastle–Ottawa Scale (NOS) was used to assess the quality of included studies in this meta-analysis ( 15 ). Three domains (cohort selection, comparability, and outcome) were independently assessed by three investigators (J.-H. W., H.W., and X.-C. D.).…”

Section: Methodsmentioning

confidence: 99%

Association of admission hyperglycemia and all-cause mortality in acute myocardial infarction with percutaneous coronary intervention: A dose–response meta-analysis

Cheng

Wang

Lin

et al. 2022

Front. Cardiovasc. Med.

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ObjectiveThe aim of this study is to evaluate the associations between admission hyperglycemia and the risk of all-cause mortality in patients with acute myocardial infarction (AMI) with or without diabetes, to find optimal admission glucose intervention cut-offs, and to clarify the shape of the dose–response relations.MethodsMedline/PubMed and EMBASE were searched from inception to 1 April 2022. Cohort studies reporting estimates of all-cause mortality risk in patients with admission hyperglycemia with AMI were included. The outcomes of interest include mortality and major adverse cardiac events (MACEs). A random effect dose–response meta-analysis was conducted to access linear trend estimations. A one-stage linear mixed effect meta-analysis was used for estimating dose–response curves. Relative risks and 95% confidence intervals were pooled using a random-effects model.ResultsOf 1,222 studies screened, 47 full texts were fully reviewed for eligibility. The final analyses consisted of 23 cohort studies with 47,177 participants. In short-term follow-up, admission hyperglycemia was associated with an increased risk of all-cause mortality (relative risk: 3.12, 95% confidence interval 2.42–4.02) and MACEs (2.34, 1.77–3.09). In long-term follow-up, admission hyperglycemia was associated with an increased risk of all-cause mortality (1.97, 1.61–2.41) and MACEs (1.95, 1.21–3.14). A linear dose–response association was found between admission hyperglycemia and the risk of all-cause mortality in patients with or without diabetes.ConclusionAdmission hyperglycemia was significantly associated with higher all-cause mortality risk and rates of MACEs. However, the association between admission hyperglycemia and long-term mortality risk needs to be determined with caution. Compared with current guidelines recommendations, a lower intervention cut-off and more stringent targets for admission hyperglycemia may be appropriate.Systematic review registration[https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022317280], identifier [CRD42022317280].

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Association Between Out-of-Hour Admission and Short- and Long-Term Mortality in Acute Myocardial Infarction: A Systematic Review and Meta-Analysis

Cited by 13 publications

References 58 publications

Assessment of In-Hospital Mortality and Its Risk Factors in Patients with Myocardial Infarction Considering the Logistical Aspects of the Treatment Process—A Single-Center, Retrospective, Observational Study

Assessment of In-Hospital Mortality and Its Risk Factors in Patients with Myocardial Infarction Considering the Logistical Aspects of the Treatment Process—A Single-Center, Retrospective, Observational Study

A Nomogram model for predicting the occurrence of no-reflow phenomenon after percutaneous coronary intervention using the lncRNA TUG1/miR-30e/NPPB biomarkers

Association of admission hyperglycemia and all-cause mortality in acute myocardial infarction with percutaneous coronary intervention: A dose–response meta-analysis

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