Obesity Paradox in the Intrahospital and Follow-Up Phases of the Acute Coronary Syndrome: A Meta-Analysis and Systematic Review

Clinical features and long-term outcomes in patients under 35 years with coronary artery disease: Nested case-control study

INTRODUCTION AND OBJECTIVES

Coronary artery disease (CAD) is a globally significant cardiovascular condition, ranking among the leading causes of morbidity and mortality. CAD has been predominantly associated with advanced age and classic cardiovascular risk factors. However, over the past decades, there has been a concerning rise in its occurrence among young adults, including patients under 35 years old. The present study analyzes the clinical features and outcomes of patients aged ≤35 years with CAD, compared to two age-matched control groups.

METHOD

A nested case-control study of ≤35-year-old patients referred for coronary angiography due to clinical suspicion of CAD. Patients were divided into three groups: patients ≤35 years with CAD, subjects ≤35 years without CAD, and young patients ≥36-40 years with CAD.

RESULTS

Of the 19321 coronary angiographies performed at our center over 10 years, 408 (2.1%) patients were ≤40 years old, 109 patients aged ≤35 years. Risk factors that showed a relationship with the presence of CAD were smoking (OR 2.49; 95% CI 1.03-6.03; p=0.042) and family history of coronary disease (OR 6.70; 95% CI 1.46-30.65; p=0.014). The group aged ≤35 years with CAD exhibited a risk of major cardiovascular adverse events (MACE) (HR 13.3; 95% CI 1.75-100; p<0.001) than subjects ≤35 years without CAD. The probability of major adverse cardiovascular events was associated with being ≤35 years old, diabetes, dyslipidemia, and depression.

CONCLUSION

Patients aged ≤35 exhibited a poor long-term prognosis, with a high risk of new revascularization and acute myocardial infarction during the follow-up period. Focusing on preventive measures can have a significant impact on overall prognosis.

Time-Dependent Risk for Recurrence in Survivors of Major Adverse Cardiovascular Events

INTRODUCTION

The prevalence of the population with a history of an occlusive cardiovascular event has been increasing in recent years, which means that a large number of patients will have a higher risk of presenting a fatal recurrence. The aim is to determine variables associated with time-to-recurrent cardiovascular events and analyze how changes in low-density lipoprotein cholesterol (LDL-C) levels during follow-up may be associated with this time-to-event.

MATERIALS AND METHODS

This is a prospective observational cohort study of 727 adults with a history of at least one occlusive cardiovascular event recruited at a referral hospital in northeastern Colombia. Data from a follow-up period of a maximum of 33 months (median 26 months) (one death) were used to define how clinical and sociodemographic variables impact the recurrence of major adverse cardiovascular events (MACE). Analyses were performed based on proportional hazard models and time-dependent hazard models.

RESULTS

Upon enrollment, 215 (30%) of the participants reported experiencing their most recent cardiovascular event within the preceding year. After two years, the recurrence rate was 12.38% (90/727). The risk of recurrence before two years was 3.9% (95% CI 2.7-5.6). In the multiple models, the presence of severe depression gives a Hazard Ratio of 8.25 (95% CI 2.98-22.86) and LDL ≥120 md/dl Hazard Ratio of 2.12 (95% CI 1.2 -3.9). It was found that LDL >120 mg/dl maintained over time increases the chances of recurrence by 1.7% (Hazard Ratio: 1.017, 95% CI 0.008-0.025).

CONCLUSIONS

The present study allows us to identify a profile of patients who should be treated promptly in an interdisciplinary manner to avoid recurrences of coronary events.

Establishment and evaluation of a nomogram for in-hospital new-onset atrial fibrillation after percutaneous coronary intervention for acute myocardial infarction

Background

New-onset atrial fibrillation (NOAF) is prognostic in acute myocardial infarction (AMI). The timely identification of high-risk patients is essential for clinicians to improve patient prognosis.

Methods

A total of 333 AMI patients were collected who underwent percutaneous coronary intervention (PCI) at Zhejiang Provincial People's Hospital between October 2019 and October 2020. Least absolute shrinkage and selection operator regression (Lasso) and multivariate logistic regression analysis were applied to pick out independent risk factors. Secondly, the variables identified were utilized to establish a predicted model and then internally validated by 10-fold cross-validation. The discrimination, calibration, and clinical usefulness of the prediction model were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow test decision curve analyses, and clinical impact curve.

Result

Overall, 47 patients (14.1%) developed NOAF. Four variables, including left atrial dimension, body mass index (BMI), CHA2DS2-VASc score, and prognostic nutritional index, were selected to construct a nomogram. Its area under the curve is 0.829, and internal validation by 10-fold cross-folding indicated a mean area under the curve is 0.818. The model demonstrated good calibration according to the Hosmer-Lemeshow test (P = 0.199) and the calibration curve. It showed satisfactory clinical practicability in the decision curve analyses and clinical impact curve.

Conclusion

This study established a simple and efficient nomogram prediction model to assess the risk of NOAF in patients with AMI who underwent PCI. This model could assist clinicians in promptly identifying high-risk patients and making better clinical decisions based on risk stratification.

Is the obesity paradox in outpatients with heart failure reduced ejection fraction real?

Background

The obesity occurrence has achieved epidemic levels worldwide and several studies indicate a paradoxical similarity among obesity and the prognosis in heart failure (HF). The primary objective was to understand the association between body mass index (BMI) and heart failure with reduced ejection fraction (HFREF) of ischemic etiology in outpatients, using mortality as a parameter. The secondary objectives were to determine the differences in HF functional class, pharmacological therapy and evaluate the prognostic value of MAGGIC Score in this population.

Methods

We analyzed 1,556 medical records from the HF outpatient clinic of a quaternary hospital and 242 were selected according to the criteria. Most were male, average age 62.6 (56-70), BMI 18.5-24.9 = 35.1%, 25-29.9 = 37.2%, 30-34.9 = 17.8%, 35-39.9 = 7%; BMI <18.5 and >40 groups were eliminated from the central analyzes because of scarce testing.

Results

BMI 30-34.9 and BMI 18.5-24.9 had the best prognosis, BMI 25-29.9 had an average performance, and BMI -39.9 group provided the worst outcome (p = 0.123). In the subcategory analysis, BMI 30-34.9 group had a better prognosis compared to the BMI 35-39.9 group (p = 0.033). In the multivariate analysis The MAGGIC score was not able to foretell mortality in this population according to BMI.

Conclusion

In not hospitalized patients with HFREF of ischemic etiology, obesity was not a protective factor.