Unplanned Readmissions After Acute Myocardial Infarction: 1-Year Trajectory Following Discharge From a Safety Net Hospital

Atypical Symptoms on Admission Predict Progression to Heart Failure in Patients With First-Time Myocardial Infarction: Using Data From the Korean Multicenter Cohort Registry

BACKGROUND

Identifying the initial factors predicting heart failure (HF) progression in patients with myocardial infarction (MI), a major cause of HF, is essential.

OBJECTIVES

We aimed to examine predictors of rehospitalization due to HF in patients with first-time MI from the Korea Acute Myocardial Infarction Registry-National Institutes of Health (KAMIR-NIH) prospective cohort between 2011 and 2015.

METHODS

A secondary data analysis was conducted on a population of 8888 patients who completed 3 years of follow-up and had no history of MI, HF, or death. The HF group was defined as patients rehospitalized with an HF diagnosis due to worsening symptoms. A 1:4 propensity score matching analysis was performed on 11 baseline characteristics, and the clinical conditions and complications of the HF group (n = 252) were compared with the non-HF group (n = 991). Statistical analyses were performed using SAS version 9.4 and R version 4.2.3.

RESULTS

A Cox proportional hazards model showed that the factors predicting rehospitalization due to HF were dyspnea (HR, 1.54; 95% CI, 1.16-2.04; P = .003), left ventricular ejection fraction <50% (HR, 2.71; 95% CI, 2.06-3.58; P < .001), and new-onset HF confirmed during hospitalization (HR, 1.77; 95% CI, 1.18-2.66; P = .006). Atypical chest pain (no chest pain) was significant only in univariate analysis.

CONCLUSIONS

This study highlights the importance of carefully monitoring symptoms and conditions during outpatient follow-up in post-MI patients, regardless of age, sex, or medical history. In particular, those who present with dyspnea at admission or develop new-onset HF during hospitalization should be considered high-risk for HF rehospitalization.

Invasive Management and In-Hospital Outcomes of Myocardial Infarction Patients in United States Safety-Net Hospitals

AIM

Safety-net hospitals (SNHs) look after a higher proportion of uninsured patients and are often located in deprived areas. This study aimed to determine whether there are differences in the clinical characteristics, treatments and outcomes of patients presenting with acute myocardial infarction (AMI) in SNHs versus non-SNHs (N-SNHs).

METHODS

All hospitalizations with a principal diagnosis of AMI in the United States' National Inpatient Sample between 2016 and 2019 were stratified by safety-net hospital status. Multivariable logistic regression with adjusted odds ratios (aOR) and 95 % confidence intervals (95 % CI) was conducted to investigate invasive management and clinical outcomes.

RESULTS

A total of 2,544,009 weighted discharge records were analyzed, including 601,719 records from SNHs (23.7 %). Compared with N-SNHs, SNH AMI patients were younger (median 66 years vs. 67 years, p < 0.001), and had a higher proportion in the lowest quartile of median household income (37.3 % vs. 28.5 %, p < 0.001). Patients from SNHs were less likely to receive coronary angiography (aOR 0.92, 95 % CI 0.91-0.93, p < 0.001), percutaneous coronary intervention (aOR 0.94, 95 % CI 0.93-0.95, p < 0.001), and coronary artery bypass grafting (aOR 0.93, 95 % CI 0.92-0.94, p < 0.001). In addition, they had increased all-cause mortality (aOR 1.11, 95 % CI 1.09-1.12, p < 0.001), major adverse cardiovascular/cerebrovascular events (composite of mortality, stroke and reinfarction) (aOR 1.11, 95 % CI 1.09-1.12, p < 0.001), and stroke (aOR 1.11, 95 % CI 1.08-1.14, p < 0.001), while there was no difference in major bleeding (aOR 1.02, 95 % CI 1.00-1.04, p = 0.107).

CONCLUSION

Among AMI patients, treatment in SNHs was associated with lower utilization of coronary angiography and revascularization and worse clinical outcomes.

Prognostic implications for patients after myocardial infarction: an integrative literature review and in-depth interviews with patients and experts

Background

As patients with myocardial infarction (MI) survive for a long time after acute treatment, it is necessary to pay attention to the prevention of poor prognosis such as heart failure (HF). To identify the influencing factors of adverse clinical outcomes through a review of prospective cohort studies of post-MI patients, and to draw prognostic implications through in-depth interviews with post-MI patients who progressed to HF and clinical experts.

Methods

A mixed-method design was used that combined a scoping review of 21 prospective cohort studies, in-depth interviews with Korean post-MI patients with HF, and focus group interviews with cardiologists and nurses.

Results

A literature review showed that old age, diabetes, high Killip class, low left ventricular ejection fraction, recurrent MI, comorbidity of chronic disease and current smoking, and low socioeconomic status were identified as influencing factors of poor prognosis. Through interviews with post-MI patients, these influencing factors identified in the literature as well as a lack of disease awareness and lack of self-care were confirmed. Experts emphasized the importance of maintaining a healthy lifestyle after acute treatment with the recognition that it is a chronic disease that must go together for a lifetime.

Conclusion

This study confirmed the factors influencing poor prognosis after MI and the educational needs of post-MI patients with transition to HF. Healthcare providers should continue to monitor the risk group, which is expected to have a poor prognosis, along with education emphasizing the importance of self-care such as medication and lifestyle modification.

Development and Validation of a Risk Prediction Model for 1-Year Readmission Among Young Adults Hospitalized for Acute Myocardial Infarction

Background

Readmission over the first year following hospitalization for acute myocardial infarction (AMI) is common among younger adults (≤55 years). Our aim was to develop/validate a risk prediction model that considered a broad range of factors for readmission within 1 year.

Methods and Results

We used data from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young adults aged 18 to 55 years hospitalized with AMI across 103 US hospitals (N=2979). The primary outcome was ≥1 all‐cause readmissions within 1 year of hospital discharge. Bayesian model averaging was used to select the risk model. The mean age of participants was 47.1 years, 67.4% were women, and 23.2% were Black. Within 1 year of discharge for AMI, 905 (30.4%) of participants were readmitted and were more likely to be female, Black, and nonmarried. The final risk model consisted of 10 predictors: depressive symptoms (odds ratio [OR], 1.03; 95% CI, 1.01–1.05), better physical health (OR, 0.98; 95% CI, 0.97–0.99), in‐hospital complication of heart failure (OR, 1.44; 95% CI, 0.99–2.08), chronic obstructive pulmomary disease (OR, 1.29; 95% CI, 0.96–1.74), diabetes mellitus (OR, 1.23; 95% CI, 1.00–1.52), female sex (OR, 1.31; 95% CI, 1.05–1.65), low income (OR, 1.13; 95% CI, 0.89–1.42), prior AMI (OR, 1.47; 95% CI, 1.15–1.87), in‐hospital length of stay (OR, 1.13; 95% CI, 1.04–1.23), and being employed (OR, 0.88; 95% CI, 0.69–1.12). The model had excellent calibration and modest discrimination (C statistic=0.67 in development/validation cohorts).

Conclusions

Women and those with a prior AMI, increased depressive symptoms, longer inpatient length of stay and diabetes may be more likely to be readmitted. Notably, several predictors of readmission were psychosocial characteristics rather than markers of AMI severity. This finding may inform the development of interventions to reduce readmissions in young patients with AMI.