Heterogenicity of diabetes as a risk factor for all-cause mortality after acute myocardial infarction: age and sex impact

2021 ◽  
pp. 109117
Author(s):  
Ygal Plakht ◽  
Yuval Elkis Hirsch ◽  
Arthur Shiyovich ◽  
Muhammad Abu Tailakh ◽  
Idit F Liberty ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Risk Factor ◽  
All Cause Mortality ◽  
Age And Sex

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 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 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 642 Psychological Denial is a Risk Factor for All-Cause Unplanned Rehospitalisations Following Acute Myocardial Infarction

2020 ◽  
Vol 29 ◽  
pp. S325-S326
Author(s):  
S. Toukhsati ◽  
A. Jones ◽  
S. Fletcher ◽  
D. Milligan ◽  
J. Kwee ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Risk Factor

scholarly journals Serum ferritin—a novel risk factor in acute myocardial infarction

2012 ◽  
Vol 64 (2) ◽  
pp. 173-177 ◽  
Author(s):  
M.P. Holay ◽  
A.A. Choudhary ◽  
S.D. Suryawanshi
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Risk Factor ◽  
Serum Ferritin

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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