scholarly journals Predictive value of elevated alanine aminotransferase for in-hospital mortality in patients with acute myocardial infarction

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jian Li ◽  
Zhuo Zhao ◽  
Hui Jiang ◽  
Minjie Jiang ◽  
Ge Yu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Liver Disease ◽  
Hospital Mortality ◽  
Predictive Value ◽  
Alanine Aminotransferase ◽  
Primary Outcome ◽  
All Cause Mortality ◽  
D Dimer

Abstract Background and aims Liver enzymes, including alanine aminotransferase (ALT) and aspartate aminotransferase (AST), are markers of hepatic dysfunction and fatty liver disease. Although ALT and AST have been suggested as risk factors for cardiovascular disease, their role as predictors of mortality after acute myocardial infarction (AMI) has not been established. The objective of this study was to investigate the predictive value of ALT and AST for mortality in patients with AMI. Methods We analyzed records of 712 patients with AMI and no known liver disease treated at the Department of Cardiovascular Center in the First Hospital of Jilin University. The primary outcome was all-cause in-hospital mortality. Relationships between primary outcome and various risk factors, including serum transaminase levels, were assessed using multivariate logistic regression analysis. Results Age (P < 0.001), hypertension (P = 0.034), prior myocardial infarction (P < 0.001), AST (P < 0.001), ALT (P < 0.001), creatinine (P = 0.007), blood urea nitrogen (P = 0.006), and troponin I (P < 0.001) differed significantly between ST-segment elevation myocardial infarction (STEMI) and non-STEMI. The following factors were associated with an increased risk of in-hospital all-cause mortality in patients with AMI: ALT ≥ 2ULN (adjusted odds ratio [AOR] 2.240 [95% confidence interval (CI), 1.331–3.771]; P = 0.002); age ≥ 65 year (AOR 4.320 [95% CI 2.687–6.947]; P < 0.001); increased fasting plasma glucose (FPG) (AOR 2.319 [95% CI 1.564–3.438]; P < 0.001); elevated D-dimer (AOR 2.117 [95% CI 1.407–3.184]; P < 0.001); elevated fibrinogen (AOR 1.601 [95% CI 1.077–2.380]; P = 0.20); and reduced estimated glomerular filtration rate (eGFR) (AOR 2.279 [95% CI 1.519–3.419]; P < 0.001). Conclusions Our findings demonstrated that elevated ALT was independently associated with increased in-hospital all-cause mortality in patients with AMI. Other risk factors were increased age, FPG, D-dimer, and fibrinogen and decreased eGFR.

scholarly journals Sociodemographic, labour market marginalisation and medical characteristics as risk factors for reinfarction and mortality within 1 year after a first acute myocardial infarction: a register-based cohort study of a working age population in Sweden

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033616
Author(s):  
Mo Wang ◽  
Marjan Vaez ◽  
Thomas Ernst Dorner ◽  
Syed Ghulam Rahman ◽  
Magnus Helgesson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Cohort Study ◽  
Labour Market ◽  
Work Disability ◽  
First Year ◽  
Risk Of Mortality ◽  
All Cause Mortality

ObjectivesResearch covering a wide range of risk factors related to the prognosis during the first year after an acute myocardial infarction (AMI) is insufficient. This study aimed to investigate whether sociodemographic, labour market marginalisation and medical characteristics before/at AMI were associated with subsequent reinfarction and all-cause mortality.DesignPopulation-based cohort study.ParticipantsThe cohort included 15 069 individuals aged 25–64 years who had a first AMI during 2008–2010.Primary and secondary outcome measuresThe outcome measures consisted of reinfarction and all-cause mortality within 1 year following an AMI, which were estimated by univariate and multivariable HRs and 95% CIs by Cox regression.ResultsSociodemographic characteristics such as lower education showed a 1.1-fold and 1.3-fold higher risk for reinfarction and mortality, respectively. Older age was associated with a higher risk of mortality while being born in non-European countries showed a lower risk of mortality. Labour market marginalisation such as previous long-term work disability was associated with a twofold higher risk of mortality. Regarding medical characteristics, ST-elevation myocardial infarction was predictive for reinfarction (HR: 1.14, 95% CI: 1.07 to 1.21) and all-cause mortality (HR: 3.80, 95% CI: 3.08 to 4.68). Moreover, diabetes mellitus, renal insufficiency, stroke, cancer and mental disorders were associated with a higher risk of mortality (range of HRs: 1.24–2.59).ConclusionsSociodemographic and medical risk factors were identified as risk factors for mortality and reinfarction after AMI, including older age, immigration status, somatic and mental comorbidities. Previous long-term work disability and infarction type provide useful information for predicting adverse outcomes after AMI during the first year, particularly for mortality.

D-dimer and the incidence of heart failure and mortality after acute myocardial infarction

Heart ◽  
2020 ◽  
pp. heartjnl-2020-316880 ◽  
Author(s):  
Xiaoyuan Zhang ◽  
Shanjie Wang ◽  
Jinxin Liu ◽  
Yini Wang ◽  
Hengxuan Cai ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Heart Failure ◽  
Acute Myocardial Infarction ◽  
Plaque Rupture ◽  
Risk Of Death ◽  
Increased Risk ◽  
Clinical Covariates ◽  
All Cause Mortality ◽  
D Dimer

ObjectiveD-dimer might serve as a marker of thrombogenesis and a hypercoagulable state following plaque rupture. Few studies explore the association between baseline D-dimer levels and the incidence of heart failure (HF), all-cause mortality in an acute myocardial infarction (AMI) population. We aimed to explore this association.MethodsWe enrolled 4504 consecutive patients with AMI with complete data in a prospective cohort study and explored the association of plasma D-dimer levels on admission and the incidence of HF, all-cause mortality.ResultsOver a median follow-up of 1 year, 1112 (24.7%) patients developed in-hospital HF, 542 (16.7%) patients developed HF after hospitalisation and 233 (7.1%) patients died. After full adjustments for other relevant clinical covariates, patients with D-dimer values in quartile 3 (Q3) had 1.51 times (95% CI 1.12 to 2.04) and in Q4 had 1.49 times (95% CI 1.09 to 2.04) as high as the risk of HF after hospitalisation compared with patients in Q1. Patients with D-dimer values in Q4 had more than a twofold (HR 2.34; 95% CI 1.33 to 4.13) increased risk of death compared with patients in Q1 (p<0.001). But there was no association between D-dimer levels and in-hospital HF in the adjusted models.ConclusionsD-dimer was found to be associated with the incidence of HF after hospitalisation and all-cause mortality in patients with AMI.

scholarly journals Impella versus IABP in acute myocardial infarction complicated by cardiogenic shock

Open Heart ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. e000987 ◽  
Author(s):  
Brunilda Alushi ◽  
Andel Douedari ◽  
Georg Froehlig ◽  
Wulf Knie ◽  
Thomas H Wurster ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Cardiogenic Shock ◽  
Primary Outcome ◽  
Left Ventricular ◽  
Cox Proportional Hazards ◽  
Left Ventricular Ejection ◽  
Bleeding Complications ◽  
Ventricular Ejection Fraction ◽  
All Cause Mortality

ObjectiveWe investigated the benefit of Impella, a modern percutaneous mechanical support (pMCS) device, versus former standard intra-aortic balloon pump (IABP) in acute myocardial infarction complicated by cardiogenic shock (AMICS).MethodsThis single-centre, retrospective study included patients with AMICS receiving pMCS with either Impella or IABP. Disease severity at baseline was assessed with the IABP-SHOCK II score. The primary outcome was all-cause mortality at 30 days. Secondary outcomes were parameters of shock severity at the early postimplantation phase. Adjusted Cox proportional hazards models identified independent predictors of the primary outcome.ResultsOf 116 included patients, 62 (53%) received Impella and 54 (47%) IABP. Despite similar baseline mortality risk (IABP-SHOCK II high-risk score of 18 % vs 20 %; p = 0.76), Impella significantly reduced the inotropic score (p < 0.001), lactate levels (p < 0.001) and SAPS II (p =0.02) and improved left ventricular ejection fraction (p = 0.01). All-cause mortality at 30 days was similar with Impella and IABP (52 % and 67 %, respectively; p = 0.13), but bleeding complications were more frequent in the Impella group (3 vs 4 units of transfused erythrocytes concentrates due to bleeding complications, p = 0.03). Previous cardiopulmonary resuscitation (HR 3.22, 95% CI 1.76 to 5.89; p < 0.01) and an estimated intermediate (HR 2.77, 95% CI 1.42 to 5.40; p < 0.01) and high (HR 4.32 95% CI 2.03 to 9.24; p = 0.01) IABP-SHOCK II score were independent predictors of all-cause mortality.ConclusionsIn patients with AMICS, haemodynamic support with the Impella device had no significant effect on 30-day mortality as compared with IABP. In these patients, large randomised trials are warranted to ascertain the effect of Impella on the outcome.

scholarly journals Predictive value of three Inflammation-based Glasgow Prognostic Scores for major cardiovascular adverse events in patients with acute myocardial infarction during hospitalization: a retrospective study

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9068
Author(s):  
Houyong Zhu ◽  
Zhaodong Li ◽  
Xiaoqun Xu ◽  
Xiaojiang Fang ◽  
Tielong Chen ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Logistic Regression ◽  
Risk Factor ◽  
Roc Curve ◽  
Predictive Value ◽  
Independent Risk Factor ◽  
Prognostic Scores ◽  
All Cause Mortality ◽  
Grace Score

Aim Inflammation-based Glasgow Prognostic Scores (GPS) have been reported to predict the prognosis of patients with acute ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). The goal of this study was to investigate whether three kinds of GPSs can effectively predict major cardiovascular adverse events (MACEs) in STEMI or non-ST-segment elevation myocardial infarction (NSTEMI) patients undergoing PPCI, elective PCI (EPCI) or conservative drug therapy during hospitalization. Methods In this retrospective cohort study, patients with acute myocardial infarction (AMI) were divided into 0, 1 or 2 score according to the GPSs. Logistic regression and receiver operating characteristic (ROC) curve analysis were performed to assess the predictive value of GPSs for MACE and all-cause mortality during hospitalization. Three kinds of GPSs, Inflammation-based Glasgow Prognostic Score (GPS), modified GPS (MGPS) and high-sensitivity CRP-modified GPS (HS-MGPS) and Global Registry of Acute Coronary Events (GRACE) score were applied in this study. Results A total of 188 patients were enrolled. The ROC curve with MACE showed that the AUC of GPS (0.820 (95% confidence interval (CI) [0.754–0.885]), P < 0.001) was larger than that of MGPS (0.789 (95% CI [0.715–0.863]), P < 0.001), HS-MGPS (0.787 (95% CI [0.717–0.856]), P < 0.001) and GRACE score (0.743 (95% CI [0.672–0.814]), P < 0.001). The ROC curve with all-cause mortality showed that the AUC of GPS (0.696 (95% CI [0.561–0.831]), P = 0.005) was similar to the HS-MGPS (0.698 (95% CI [0.569–0.826]), P = 0.005) and higher than the MGPS (0.668 (95% CI [0.525–0.812]), P = 0.016), but lower than the GRACE score (0.812 (95% CI [0.734–0.889]), P < 0.001). Multivariate logistic regression analysis showed that the GPS was an independent risk factor for the incidence of MACE during hospitalization. Compared with the odds ratio (OR) value for a GPS of 0, the OR for a GPS of 1 was 7.173 (95% CI [2.425–21.216]), P < 0.001), and that for a GPS of 2 was 18.636 (95% CI [5.813–59.746]), P < 0.001), but not an independent risk factor for all-cause mortality (P = 0.302). GRACE score was an independent risk factor for MACE (1.019 (95% CI [1.004–1.035]), P = 0.015) and all-cause mortality (1.040 (95% CI [1.017–1.064]), P = 0.001). In the subgroups classified according to the type of AMI, the presence of disease interference GPSs and the type of PCI, the ability of GPS to predict the occurrence of MACE seemed to be greater than that of MGPS and HS-MGPS. Conclusion The GPS has a good predictive value for the occurrence of MACE during hospitalization in patients with AMI, regardless of STEMI or NSTEMI, the choice of PCI mode and the presence or absence of diseases that interfere with GPS. However, GPS is less predictive of all-cause mortality during hospitalization than GRACE score, which may be due to the interference of patients with other diseases.

scholarly journals Risk factors for in-hospital mortality in patients with acute myocardial infarction during the COVID-19 outbreak

2020 ◽  
Vol 73 (12) ◽  
pp. 985-993
Author(s):  
Jorge Solano-López ◽  
José Luis Zamorano ◽  
Ana Pardo Sanz ◽  
Ignacio Amat-Santos ◽  
Fernando Sarnago ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Hospital Mortality

P3632Prognostic impact of aortic valve stenosis in patients with acute myocardial infarction

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H Mizutani ◽  
T Kurita ◽  
S Kasuya ◽  
T Mori ◽  
H Ito ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Aortic Valve ◽  
Aortic Valve Stenosis ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
All Cause Mortality

Abstract Background Aortic valve stenosis (AS) is associated with the presence and severity of coronary artery disease independently of clinical risk factors, which leads to increased cardiovascular mortality. However, the prevalence of AS and its prognostic value among patients with acute myocardial infarction (AMI) remain unknown. Purpose The purpose of this study was to investigate the prevalence and prognostic impact of AS in AMI patients. Methods We studied 2,803 AMI patients using data from Mie ACS registry, a prospective and multicenter registry. Patients were divided into subgroups according to the presence and severity of AS based on maximal aortic flow rate by Doppler echocardiography before hospital discharge: non-AS <2.0 m/s, 2.0 m/s≤mild AS <3.0 m/s, 3.0 m/s≤moderate AS <4.0m/s and severe AS≥4.0 m/s. The primary outcome was defined as 2-year all-cause mortality. Results AS was detected in 79 patients (2.8%) including 49 mild AS, 23 moderate AS and 6 severe AS. AS patients were significantly older (79.9±9.8 versus 68.3±12.6 years), and higher killip classification than non-AS patients (P<0.01, respectively). However, left ventricular ejection fraction, and prevalence of primary PCI was similar between the 2 groups. During the follow-up periods (median 725 days), 333 (11.9%) patients experienced all-cause death. AS patients demonstrated the higher all-cause mortality rate compared to that of non-AS patients during follow up (47.3% versus 11.3%, P<0.0001, chi square). Kaplan-Meier curves showed that the probability of all-cause mortality was significantly higher among AS patients than non-AS patients, and was highest among moderate and severe AS (See figure A and B). Cox regression analyses for all-cause mortality demonstrated that the severity of AS was the strongest and independent poor prognostic factor (HR 1.71, 95% CI 1.30–2.24, P<0.001, See table). Cox hazard regression analysis Hazard ratio 95% Confidential interval P-value Severity of aortic valve stenosis 1.71 1.30–2.24 <0.001 Killip classification 1.63 1.46–1.82 <0.001 Age 1.07 1.06–1.09 <0.001 Serum creatinine level 1.05 1.03–1.08 <0.001 Max CPK level 1.00 1.00–1.01 <0.001 Left ventricular ejection fraction 0.96 0.95–0.97 <0.001 Primary percutaneous coronary intervention 0.67 0.47–0.96 0.03 CPK suggests creatinine phosphokinase. All cause mortality Conclusions The presence of AS of any severity contributes to worsening of patients' prognosis following AMI independently of other known risk factors. Acknowledgement/Funding None

Abstract MP79: Pre-Admission History of Depression and Mortality After Acute Myocardial Infarction

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Elena Salmoirago-Blotcher ◽  
Darleen Lessard ◽  
Joel Gore ◽  
Robert Goldberg
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Hospital Mortality ◽  
Hospital Treatment ◽  
Depression Treatment ◽  
Coronary Risk Factors ◽  
Post Discharge ◽  
All Cause Mortality ◽  
History Of ◽  
History Of Depression

Background: Whether a diagnosis of depression after developing an acute myocardial infarction (AMI) is linked to a worse prognosis remains a matter of debate after several RCTs of interventions to treat post-AMI depression have yielded negative results. A possible explanation is that depressive symptoms after AMI may be part of the normal adjustment to an adverse life event. A pre-admission history of depression could better identify patients who may derive the most benefit from depression treatment. The objective of this study was to evaluate whether a pre-admission history of depression was associated with a worse post-discharge prognosis among patients with AMI. Methods: This was a secondary analysis conducted among patients included (biennial basis between 1999-2009) in the Worcester Heart Attack Study, an ongoing epidemiologic study examining long-term trends in the clinical outcomes of AMI among residents of the Worcester, MA metropolitan area. The exposure was defined as a physician-recorded diagnosis of depression preceding the index hospitalization for AMI based on the review of hospital medical records (MR). The outcome was all-cause death rates in-hospital and 1-year post discharge. Information regarding demographics, medical history, in-hospital treatment, and discharge status was abstracted from the MR by trained study physicians and nurses. Survival status after discharge was obtained from the MR and from death certificates. Univariate and multivariate logistic regression models were used to assess associations between depression and the outcome. Results: This analysis included 5,068 patients (mean age 70 years, 44% women). Approximately 16% of patients had a history of depression pre-admission. No significant differences were found between patients with and without a history of depression with regard to in-hospital mortality (11.5% vs. 9.9%; unadjusted OR=1.18; 95% CI: 0.95, 1.48). At 1 year after discharge all-cause mortality was significantly higher among patients with a pre-admission history of depression (27.5% vs. 18.2%; unadjusted OR=1.71; 95% CI: 1.44, 2.02). While the association between history of depression and in-hospital mortality was largely explained by confounding, the association with 1 year mortality remained significant even after adjustment for demographics, coronary risk factors, co-morbidities, clinical characteristics and medications at discharge (OR=1.57; CI: 1.24, 1.98). Conclusions: In this community-based cohort of patients hospitalized with AMI at different hospitals in central MA, a pre-admission history of depression was an independent predictor of all-cause mortality 1 year after MI. Documentation of a history of depression in the medical record could be a simple tool for cardiologists and primary care physicians to identify high-risk patients who may benefit from depression treatment.

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