Predictive Value of Prothrombin Time for All-cause Mortality in Acute Myocardial Infarction Patients*

2018 ◽  
Author(s):  
Xurong Wang ◽  
Runge Chen ◽  
Ye Li ◽  
Fen Miao
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Prothrombin Time ◽  
Predictive Value ◽  
All Cause Mortality

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 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 249 Prognostic role of diagnostic criteria of acute myocardial infarction

2021 ◽  
Vol 23 (Supplement_G) ◽  
Author(s):  
Matteo Armillotta ◽  
Angelo Sansonetti ◽  
Francesco Angeli ◽  
Michele Fabrizio ◽  
Andrea Stefanizzi ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Diagnostic Criteria ◽  
Predictive Value ◽  
Cox Regression ◽  
Prognostic Role ◽  
Clinical Criteria ◽  
Kaplan Meier ◽  
All Cause Mortality

Abstract Aims The term acute myocardial infarction (AMI) reflects cell death of cardiac myocytes caused by ischaemia. The Fourth Universal Definition of Myocardial Infarction (UDMI) defined AMI by a typical rise and fall in the level of biochemical markers of myocardial necrosis together with criteria of myocardial ischaemia. However, the prognostic role of each single diagnostic criteria has never been explored. To evaluate the prognostic role of the different diagnostic criteria of AMI according to the Fourth UDMI. Methods and results We enrolled all consecutive patients with AMI admitted from 2016 to 2019. We used a combination of criteria, according to the current ESC guidelines, to meet the diagnosis, namely the detection of an increase and/or decrease of high-sensitivity cardiac troponin I, with at least one value above the 99th percentile of the upper reference limit and at least one of the following: symptoms of ischaemia; ECG changes (new ST-T changes or new left bundle branch block); development of pathological Q waves in the ECG; imaging evidence of new loss of viable myocardium or new regional wall motion abnormality, in our study evaluated by transthoracic echocardiogram. All-cause mortality and a composite endpoint of all-cause mortality, re-hospitalization for heart failure, and myocardial re-infarction were collected. The predictive value of diagnostic criteria alone and its association were evaluated using Kaplan–Meier survival curves and subsequent Cox-regression analysis to find independent predictors of adverse events. 2386 patients were evaluated. The median follow-up time was 23.3 ± 14.5 months. The total number of events was 703 (29.5%). Kaplan–Meier curves showed that major adverse cardiac events (MACEs) were statistically different depending on the diagnostic criteria of AMI at admission. Particularly, clinical criteria alone showed a better predictive value (P &lt; 0.001) than other diagnostic AMI criteria. Multivariable Cox-regression model demonstrated that clinical criteria were the independent predictor of good prognosis in patients with AMI (HR = 0.43; 95% CI: 0.28–0.67; P &lt; 0.001). Conversely, the other diagnostic criteria (electrocardiographic and echocardiographic) and the combination of all diagnostic criteria were not independent prognostic factors of MACEs (HR = 1.1; 95% CI: 0.6–2.4, P = 0.6; HR = 1.1; 95% CI: 0.7–1.9, P = 0.6; HR = 0.9; 95% CI: 0.7–1.0, P = 0.2, respectively). Conclusions Our data suggest that the prognosis is considerably better among patients with a diagnosis of AMI if clinical criteria alone are present at admission. We also demonstrated that clinical criteria are a strong prognostic predictor of good outcomes in patients with AMI. We hypothesize that the absence of electrocardiographic and echocardiographic alterations could indirectly indicate a smaller infarct sizes that contribute to patients’ outcome.

scholarly journals Sample Timing, Diagnosis of Subclinical Thyroid Dysfunction and Mortality in Acute Myocardial Infarction: ThyrAMI1 Study

2019 ◽  
Vol 105 (4) ◽  
pp. e1299-e1306 ◽  
Author(s):  
Salman Razvi ◽  
Owain Leng ◽  
Avais Jabbar ◽  
Arjola Bano ◽  
Lorna Ingoe ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Thyroid Function ◽  
Thyroid Dysfunction ◽  
Reference Interval ◽  
Reference Ranges ◽  
Diagnosis And Prognosis ◽  
Time Period ◽  
All Cause Mortality ◽  
The Impact

Abstract Objective The objective of this study was to determine the impact of blood sample timing on the diagnosis of subclinical thyroid dysfunction (SCTD) and mortality in patients with acute myocardial infarction (AMI). Patients, Design, and Main Outcome Measures Patients with AMI had thyroid function evaluated on admission between December 2014 and December 2016 and those with abnormal serum thyrotropin (TSH) had repeat thyroid function assessed at least a week later. The association between sample timing and SCTD was evaluated by logistic regression analysis. Secondary outcomes were confirmation of SCTD on repeat testing and all-cause mortality up to June 2018. Results Of the 1806 patients [29.2% women, mean (± standard deviation) age of 64.2 (±12.1) years] analyzed, the prevalence of subclinical hypothyroidism (SCH) was 17.2% (n = 311) and subclinical hyperthyroidism (SHyper) was 1.2% (n = 22) using a uniform TSH reference interval. The risk of being diagnosed with SCTD varied by sample timing in fully-adjusted models. The risk of SCH was highest between 00.01 and 06.00 hours and lowest between 12.01 and 18.00 hours, P for trend &lt;.001, and risk of SHyper was highest between 12.01 hours and 18.00 hours and lowest between 00.01 hours and 06.00 hours. Furthermore, time of the initial sample was associated with the risk of remaining in a SCH state subsequently. Mortality in SCH patients was not elevated when a uniform TSH reference interval was utilized. However, when time period–specific TSH reference ranges were utilized, the mortality risk was significantly higher in SCH patients with HR (95% CI) of 2.26 (1.01–5.19), P = .04. Conclusions Sample timing impacts on the diagnosis and prognosis of SCH in AMI patients. If sample timing is not accounted for, SCH is systemically misclassified, and its measurable influence on mortality is lost.

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.

Predictive Value of Two-Dimensional Echocardiographic and Hemodynamic Measurements on Admission With Acute Myocardial Infarction

1988 ◽  
Vol 1 (3) ◽  
pp. 187-193 ◽  
Author(s):  
Wybren Jaarsma ◽  
Cees A. Visser ◽  
Machiel J. Eenige van ◽  
Freek W.A. Verheugt ◽  
Albert J. Funke Kupper ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Predictive Value ◽  
Two Dimensional ◽  
Hemodynamic Measurements

Abstract MP74: It's Not Too Late to Improve Adherence: Association Between All-Cause Mortality and Statin Adherence Change After Acute Myocardial Infarction

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Ryan P Hickson ◽  
Jennifer G Robinson ◽  
Izabela E Annis ◽  
Ley A Killeya-Jones ◽  
Gang Fang
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Proportional Hazards Model ◽  
Reference Group ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Administrative Claims ◽  
Post Discharge ◽  
All Cause Mortality ◽  
Statin Adherence

Introduction: Hospitalization for acute myocardial infarction (AMI) affects medication adherence in prevalent statin users. Our objective was to estimate the association between changes in statin adherence and all-cause mortality after AMI discharge. Hypothesis: Patients who are adherent both pre- and post-AMI have the lowest risk of all-cause mortality. Methods: Medicare administrative claims were used to identify AMI hospitalizations in 2008-2010. Patients were ≥66 years old, continuously enrolled ≥360 days pre-AMI with a statin prescription claim, discharged to home/self-care, and survived ≥180 days post-AMI with continuous enrollment. Statin adherence was measured in the 180 days pre- and post-AMI hospitalization using proportion of days covered and categorized as severely nonadherent, moderately nonadherent, and adherent. The exposure was categorical change in statin adherence from pre- to post-AMI (9 categories, see Figure); adherent/adherent was the reference group. Patients were followed for all-cause mortality from 180 days post-discharge for up to 18 months. A multivariable Cox proportional hazards model estimated hazard ratios (HRs). Results: Of 101,011 eligible patients, 15% decreased, 20% increased, and 64% did not change statin adherence categories. Compared to patients who were adherent pre- and post-AMI, the adjusted HR (95% confidence intervals [CIs]) for patients who increased from severely nonadherent to adherent was 0.93 (95% CI: 0.85-1.02); other increases in adherence had similar HRs (see Figure). Compared to patients who were adherent pre- and post-AMI, the adjusted HR for patients who decreased from adherent to severely nonadherent was 1.22 (95% CI: 1.13-1.33); other decreases in adherence had similar HRs. Conclusions: Although patients with decreased statin adherence had the worst mortality outcomes, those with increased adherence had similar or better outcomes than continuously adherent patients, showing that, even after an AMI, it is not too late to improve statin adherence.

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