Gout as a risk factor for acute myocardial infarction: evidence from competing risk model analysis

2021 ◽  
pp. jim-2020-001714
Author(s):  
Chia-Luen Huang ◽  
Tai-Wen Wang ◽  
Yong-Chen Chen ◽  
Je-Ming Hu ◽  
Po-Ming Ku ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Risk Model ◽  
Epidemiological Studies ◽  
Competing Risk ◽  
Study Cohort ◽  
Research Database ◽  
Competing Risk Model ◽  
Increased Risk ◽  
Future Work

Chronic inflammation, a hallmark of gout, is implicated in the pathogenesis of atherosclerosis. Thus, in theory, gout can be expected to increase the risk of acute myocardial infarction (AMI). Yet, results from several epidemiological studies have been inconclusive. A retrospective cohort study was conducted using the National Health Insurance Research Database of Taiwan dated from 2000 to 2013. The study cohort comprised 3581 patients with gout (the gout cohort) and 14,324 patients without gout (the non-gout cohort). The primary outcome was the incidence of AMI. To estimate the effect of gout on the risk of AMI, the Lunn-McNeil competing risk model was fitted to estimate cause-specific hazard ratios (HRs) and their 95% confidence intervals (CIs). The cumulative incidence of AMI was significantly higher in the gout cohort than in the non-gout cohort, resulting in an adjusted HR of 1.36 (95% CI 1.04 to 2.76). Further, HRs of gout with incident AMI were higher in patients without hypertension, diabetes mellitus, or hyperlipidemia (ranging from 1.63 to 2.09) than in those with each of these comorbidities (ranging from 0.95 to 1.13). The results of this study suggest that patients with gout have an increased risk of AMI. The AMI risk associated with gout was conditional on patients’ cardiovascular risk profile. Future work is needed to confirm these findings.

Risk Factors for Myocardial Infarction and Stroke Among Sepsis Survivors: A Competing Risks Analysis

2019 ◽  
Vol 35 (1) ◽  
pp. 34-41
Author(s):  
Yueh-Che Hsieh ◽  
Po-Yang Tsou ◽  
Yu-Hsun Wang ◽  
Christin Chih-Ting Chao ◽  
Wan-Chien Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Hospital Discharge ◽  
Preventive Measures ◽  
Risk Model ◽  
Cerebrovascular Diseases ◽  
Competing Risk ◽  
Research Database ◽  
Risk Of Death ◽  
Increased Risk

Objectives: Predictors for post-sepsis myocardial infarction (MI) and stroke are yet to be identified due to the competing risk of death. Methods: This study included all hospitalized patients with sepsis from National Health Insurance Research Database of Taiwan between 2000 and 2011. The primary outcome was the first occurrence of MI and stroke requiring hospitalization within 180 days following hospital discharge from the index sepsis episode. The association between predictors and post-sepsis MI and stroke were analyzed using cumulative incidence competing risk model that controlled for the competing risk of death. Results: Among 42 316 patients with sepsis, 1012 (2.4%) patients developed MI and stroke within 180 days of hospital discharge. The leading 5 predictors for post-sepsis MI and stroke are prior cerebrovascular diseases (hazard ratio [HR]: 2.02, 95% confidence interval [CI]: 1.74-2.32), intra-abdominal infection (HR: 1.94, 95% CI: 1.71-2.20), previous MI (HR: 1.81, 95% CI: 1.53-2.15), lower respiratory tract infection (HR: 1.62, 95% CI: 1.43-1.85), and septic encephalopathy (HR: 1.61, 95% CI: 1.26-2.06). Conclusions: Baseline comorbidities and sources of infection were associated with an increased risk of post-sepsis MI and stroke. The identified risk factors may help physicians select a group of patients with sepsis who may benefit from preventive measures, antiplatelet treatment, and other preventive measures for post-sepsis MI and stroke.

scholarly journals Acute myocardial infarction in the Covid-19 era: incidence, clinical characteristics and in-hospital outcomes – a multicenter registry

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A Fardman ◽  
D Zahger ◽  
K Orvin ◽  
N Kofman ◽  
J Mohsen ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Severe Disease ◽  
Admission Rate ◽  
P Value ◽  
Study Cohort ◽  
Hospital Outcomes ◽  
Ischemic Time ◽  
Coronary Syndrome ◽  
Increased Risk

Abstract Background A reduction in acute myocardial infarction (AMI) hospitalizations during the coronavirus pandemic has been previously documented. We aimed to describe the characteristics and in-hospital outcomes of AMI patients during the Covid-19 era compared to a recent previous registry. Methods We conducted a prospective, multicenter, observational study involving 13 intensive cardiac care units (ICCUs) to evaluate consecutive AMI patients admitted throughout an 8-week period during the Covid-19 outbreak. Data were compared to the corresponding period in 2018 using an acute coronary syndrome survey conducted in all ICCUs in Israel. The primary end-point was defined as a composite of sustained ventricular arrhythmia, pulmonary congestion, and/or in-hospital mortality. Results The study cohort comprised 1466 patients, of whom 774 (53%) were hospitalized during the Covid-19 outbreak. Overall, 841 patients were diagnosed with ST-elevation MI (STEMI): 424 (50.4%) during the Covid-19 era and 417 (49.6%) during the parallel period in 2018. No differences were detected in the admission rate of patients between the two study periods. STEMI patients admitted during the Covid-19 period tended to have fewer co-morbidities, but a higher Killip class (p value = 0.03). The median time from symptom onset to reperfusion was extended from 180 minutes (IQR 122–292) in 2018 to 290 minutes (IQR 161–1080, p<0.001) in 2020. Hospitalization during the Covid-19 era was independently associated with an increased risk of the combined endpoint of heart failure, malignant arrhythmia, or death in the multivariable logistic regression model (OR 1.63, 95% CI 1.02–2.65, p value = 0.05). Conclusion While the admission rate of AMI and STEMI in Israel remained similar during both the Covid-19 era and the corresponding period in 2018, total ischemic time extended significantly during the Covid-19 period, which translated into a more severe disease status upon hospital admission, and a higher rate of in-hospital adverse events. FUNDunding Acknowledgement Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): This work was supported by a grant from a Fefer foundation for medical research

scholarly journals Semi-competing risk model to predict perioperative and oncologic outcomes after radical cystectomy

2018 ◽  
Vol 10 (11) ◽  
pp. 317-326 ◽  
Author(s):  
Taylor Peak ◽  
Andrew Chapple ◽  
Grayson Coon ◽  
Ashok Hemal
Keyword(s):  
Radical Cystectomy ◽  
Risk Model ◽  
Cox Regression ◽  
Competing Risk ◽  
Oncologic Outcomes ◽  
Disease Stage ◽  
Competing Risk Model ◽  
Risk Of Death ◽  
Major Complications ◽  
Increased Risk

Background: To utilize a semi-competing risk model to predict perioperative and oncologic outcomes after radical cystectomy and to compare the findings with the univariate Cox regression model. Methods: We reviewed the Institutional Review Board approved database of radical cystectomy of 316 patients who had undergone robot-assisted radical cystectomy (RARC) or open radical cystectomy between 2006 and 2016. Demographic data, perioperative outcomes, complications, metastasis, and survival were analyzed. The Bayesian variable selection method was utilized to obtain models for each hazard function in the semi-competing risks. Results: Of 316 patients treated, 48% and 18% experienced any or major complication respectively within 30 days. Intracorporeal RARC was associated with decreased metastasis risk. Extracorporeal RARC was associated with marginally decreased risks of overall complications or major complications. Patients with advanced cancer had an increased risk of metastasis, death after metastasis and death after complication. Positive nodes were associated with an increased risk of death without overall or major complications and increased risk of death after metastasis occurs. When a serious complication was taken into account there was no significant difference in mortality, irrespective of disease stage. Conclusions: A semi-competing risk model provides relatively more accurate information in comparison to Cox regression analysis in predicting risk factors for complications and metastasis in patients undergoing radical cystectomy.

scholarly journals Outcomes of patients with hypertrophic cardiomyopathy and acute myocardial infarction: a propensity score-matched, 15-year nationwide population-based study in Asia

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e019741 ◽  
Author(s):  
Victor Chien-Chia Wu ◽  
Tien-Hsing Chen ◽  
Michael Wu ◽  
Shao-Wei Chen ◽  
Chih-Hsiang Chang ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Hypertrophic Cardiomyopathy ◽  
Propensity Score ◽  
Coronary Intervention ◽  
Hospital Death ◽  
Cardiac Transplant ◽  
Research Database ◽  
Exclusion Criteria ◽  
Increased Risk

ObjectivesHypertrophic cardiomyopathy (HCM) entails thickening of the myocardium and an increased risk of ischaemia. However, the prognosis of patients with HCM with acute myocardial infarction (AMI) is incompletely understood.MethodsMedical information was retrieved from the Taiwan National Health Insurance Research Database in 1997–2011. The exclusion criteria were patients <18 years old, and history of AMI, coronary intervention, aortic valve disease, disease of the pericardium, heart surgery, device implantation, venous thromboembolism, cardiac transplant, congenital heart disease and end-stage renal disease on dialysis. Patients with HCM with AMI were compared with propensity score (PS)-matched patients with AMI without HCM. The primary endpoints were in-hospital and 1-year cardiovascular events.ResultsIn total, 201 166 patients were admitted for AMI. There were 177 058 patients with new-onset AMI, 257 with HCM and 176 801 without HCM after exclusion criteria. Using 1:4 PS matching, the study population consisted of patients with AMI, 257 with HCM and 1028 without HCM. Patients with AMI with HCM received significantly less coronary intervention (OR=0.46; 95% CI 0.32 to 0.65; p<0.001), coronary intervention with stenting (OR=0.33; 95% CI 0.20 to 0.57; p<0.001) and coronary artery bypass graft surgery (OR=0.22; 95% CI 0.05 to 0.90; p=0.036), and fewer episodes of shock (OR=0.64; 95% CI 0.48 to 0.86; p=0.003) and in-hospital death (OR=0.46; 95% CI 0.30 to 0.70; p<0.001), compared with patients with AMI without HCM. Specifically, for patients with HCM with AMI, AMI occurred predominantly (82.5%) in the form of ischaemia without requiring coronary stenting. Patients with AMI with HCM had significantly better survival than patients without HCM (HR=0.66; 95% CI 0.51 to 0.85; p=0.001) during the 1-year follow-up.ConclusionsThis is the first PS-matched study to compare the prognosis of patients with AMI with and without HCM. Compared with patients with AMI without HCM, patients with HCM had significantly better in-hospital and within 1-year outcomes.

scholarly journals Uveitis as a Risk Factor for Developing Acute Myocardial Infarction in Ankylosing Spondylitis: A National Population-Based Longitudinal Cohort Study

2022 ◽  
Vol 12 ◽  
Author(s):  
Yi-Fen Lai ◽  
Ting-Yi Lin ◽  
Wu-Chien Chien ◽  
Chien-An Sun ◽  
Chi-Hsiang Chung ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Risk Factor ◽  
Ankylosing Spondylitis ◽  
Systemic Inflammation ◽  
Hazard Ratio ◽  
Research Database ◽  
Kaplan Meier ◽  
Increased Risk

BackgroundAnkylosing spondylitis (AS) is a chronic inflammatory disease. Excess cardiovascular risks were well recognized in patients with AS and were attributed to prolonged systemic inflammation. Uveitis is one of the most common extra-articular symptoms of AS and is also considered an indicator of systemic inflammation. This study aimed to investigate whether uveitis was a risk factor for developing acute myocardial infarction (AMI) in patients with AS using the National Health Insurance Research Database (NHIRD).MethodsData were collected from the NHIRD over a fifteen-year period. Variables were analyzed using the Pearson chi-square test and Fisher’s exact test. Risk factors for the occurrence of AMI were examined by calculating hazard ratio. Kaplan-Meier analysis was performed to compare the cumulative incidence of AMI in the uveitis and non-uveitis cohorts.ResultsA total of 5905 patients with AS were enrolled, including 1181 patients with uveitis (20%) and 4724 patients without uveitis (80%). The Kaplan–Meier method with the log-rank test showed that the uveitis group had a significantly higher cumulative hazard for patients with AMI than the non-uveitis group (p &lt; 0.001). The adjusted hazard ratio (aHR) of AMI was higher in the uveitis group than in the non-uveitis group (aHR = 1.653, p &lt; 0.001). Stratified analysis revealed that patients with uveitis had an increased risk of developing AMI regardless of their sex (male/female aHR = 1.688/1.608, p &lt; 0.001). Patients with uveitis in all age groups were independently associated with an increased risk of developing AMI compared to those without uveitis (20–39 years/40–59 years/≥ 60 years, aHR = 1.550, 1.579, 3.240, p &lt; 0.001). Patients with uveitis had a higher probability of developing AMI regardless of comorbidities. Uveitis patients with comorbidities had a higher risk of developing AMI compared to uveitis patients without comorbidities.ConclusionUveitis is a significant risk factor for developing AMI in patients with AS. Physicians should be aware of the potential cardiovascular risk in AS patients with uveitis, especially simultaneously with other traditional risk factors of AMI. Further prospective studies are needed to elucidate the underlying mechanism between uveitis and AMI in patients with AS.

scholarly journals MiR-126-3p and MiR-223-3p as Biomarkers for Prediction of Thrombotic Risk in Patients with Acute Myocardial Infarction and Primary Angioplasty

2021 ◽  
Vol 11 (6) ◽  
pp. 508
Author(s):  
Milan Hromadka ◽  
Zuzana Motovska ◽  
Ota Hlinomaz ◽  
Petr Kala ◽  
Frantisek Tousek ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Predictive Accuracy ◽  
Cardiovascular Death ◽  
Primary Angioplasty ◽  
Bleeding Complications ◽  
Clinical Predictors ◽  
Thrombotic Risk ◽  
Increased Risk ◽  
One Year

Aim. This study was designed to evaluate the relationship between microRNAs (miRNAs), miR-126-3p and miR-223-3p, as new biomarkers of platelet activation, and predicting recurrent thrombotic events after acute myocardial infarction (AMI). Methods and Results. The analysis included 598 patients randomized in the PRAGUE-18 study (ticagrelor vs. prasugrel in AMI). The measurements of miRNAs were performed by using a novel miRNA immunoassay method. The association of miRNAs with the occurrence of the ischemic endpoint (EP) (cardiovascular death, nonfatal MI, or stroke) and bleeding were analyzed. The miR-223-3p level was significantly related to an increased risk of occurrence of the ischemic EP within 30 days (odds ratio (OR) = 15.74, 95% confidence interval (CI): 2.07–119.93, p = 0.008) and one year (OR = 3.18, 95% CI: 1.40–7.19, p = 0.006), respectively. The miR-126-3p to miR-223-3p ratio was related to a decreased risk of occurrence of EP within 30 days (OR = 0.14, 95% CI: 0.03–0.61, p = 0.009) and one year (OR = 0.37, 95% CI: 0.17–0.82, p = 0.014), respectively. MiRNAs were identified as independent predictors of EP even after adjustment for confounding clinical predictors. Adding miR-223-3p and miR-126-3p to miR-223-3p ratios as predictors into the model calculating the ischemic risk significantly increased the predictive accuracy for combined ischemic EP within one year more than using only clinical ischemic risk parameters. No associations between miRNAs and bleeding complications were identified. Conclusion. The miR-223-3p and the miR-126-3p are promising independent predictors of thrombotic events and can be used for ischemic risk stratification after AMI.

scholarly journals 180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study

Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001442
Author(s):  
John A Dodson ◽  
Alexandra M Hajduk ◽  
Terrence E Murphy ◽  
Mary Geda ◽  
Harlan M Krumholz ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Older Adults ◽  
Acute Myocardial Infarction ◽  
Risk Model ◽  
Functional Mobility ◽  
Derivation Cohort ◽  
History Of ◽  
Reported Health ◽  
Self Reported Health Status ◽  
Readmission Risk

ObjectiveTo develop a 180-day readmission risk model for older adults with acute myocardial infarction (AMI) that considered a broad range of clinical, demographic and age-related functional domains.MethodsWe used data from ComprehenSIVe Evaluation of Risk in Older Adults with AMI (SILVER-AMI), a prospective cohort study that enrolled participants aged ≥75 years with AMI from 94 US hospitals. Participants underwent an in-hospital assessment of functional impairments, including cognition, vision, hearing and mobility. Clinical variables previously shown to be associated with readmission risk were also evaluated. The outcome was 180-day readmission. From an initial list of 72 variables, we used backward selection and Bayesian model averaging to derive a risk model (N=2004) that was subsequently internally validated (N=1002).ResultsOf the 3006 SILVER-AMI participants discharged alive, mean age was 81.5 years, 44.4% were women and 10.5% were non-white. Within 180 days, 1222 participants (40.7%) were readmitted. The final risk model included 10 variables: history of chronic obstructive pulmonary disease, history of heart failure, initial heart rate, first diastolic blood pressure, ischaemic ECG changes, initial haemoglobin, ejection fraction, length of stay, self-reported health status and functional mobility. Model discrimination was moderate (0.68 derivation cohort, 0.65 validation cohort), with good calibration. The predicted readmission rate (derivation cohort) was 23.0% in the lowest quintile and 65.4% in the highest quintile.ConclusionsOver 40% of participants in our sample experienced hospital readmission within 180 days of AMI. Our final readmission risk model included a broad range of characteristics, including functional mobility and self-reported health status, neither of which have been previously considered in 180-day risk models.

scholarly journals Individuals with familial hypercholesterolemia have increased risk of re-hospitalization after acute myocardial infarction compared with controls

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Svendsen ◽  
H.W Krogh ◽  
J Igland ◽  
G.S Tell ◽  
L.J Mundal ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Familial Hypercholesterolemia ◽  
Cox Regression ◽  
Public Institution ◽  
University Hospital ◽  
Funding Source ◽  
Hazard Ratios ◽  
Increased Risk ◽  
University Of Oslo

Abstract Background and aim We have previously reported that individuals with familial hypercholesterolemia (FH) have a two-fold increased risk of acute myocardial infarction (AMI) compared with the general population. The consequences of having an AMI on re-hospitalization and mortality are however less known. The aim of the present study was to compare the risk of re-hospitalization with AMI and CHD and risk of mortality after incident (first) AMI-hospitalization between persons with and without FH (controls). Methods The original study population comprised 5691 persons diagnosed with FH during 1992–2014 and 119511 age and sex matched controls randomly selected from the general Norwegian population. We identified 221 individuals with FH and 1947 controls with an incident AMI registered in the Norwegian Patient Registry (NPR) or the Cardiovascular Disease in Norway Project during 2001–2017. Persons with incident AMI were followed until December 31st 2017 for re-hospitalization with AMI or coronary heart disease (CHD) registered in the NPR, and for mortality through linkage to the Norwegian Cause of Death Registry. Risk of re-hospitalization was compared with sub-hazard ratios (SHR) from competing risk regression with death as competing event, and mortality was compared using hazard ratios (HR) from Cox regression. All models were adjusted for age. Results Risk of re-hospitalization was 2-fold increased both for AMI [SHR=2.53 (95% CI: 1.88–3.41)] and CHD [SHR=1.82 (95% CI: 1.44–2.28)]. However, persons with FH did not have increased 28-day mortality following an incident AMI (HR=1.05 (95% CI: 0.62–1.78), but the longer-term (&gt;28 days) mortality after first AMI was increased in FH [HR=1.45 (95% CI: 1.07–1.95]. Conclusion This study yields the important finding that persons with FH have increased risk of re-hospitalization of both AMI and CHD after incident AMI. These findings call for more intensive follow-up of individuals with FH after an AMI. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): University of Oslo and Oslo University Hospital

scholarly journals 2.5-fold increased risk of recurrent acute myocardial infarction with familial hypercholesterolemia

2020 ◽  
Author(s):  
Karianne Svendsen ◽  
Henriette W. Krogh ◽  
Jannicke Igland ◽  
Grethe S. Tell ◽  
Liv J. Mundal ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Familial Hypercholesterolemia ◽  
Increased Risk
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