Impact of changes in body mass index after percutaneous coronary intervention on long-term outcomes in patients with coronary artery disease

A synergistic impact of body mass index and gamma gap on heart failure and mortality rate among older patients with coronary artery disease: a prospective study with 10-year follow-up

PURPOSE

This prospective study with 10-year follow-up aimed to analyze potential impact of body mass index (BMI) and gamma gap on heart failure and mortality rate in older patients with coronary artery disease (CAD).

METHODS

There were 987 consecutive older patients with CAD included and divided into four groups according to BMI and gamma gap levels.

RESULTS

Median age was 86 years. The highest proportion of heart failure (46.2%) and the highest mortality rate (84.4%) was observed in patients with low BMI and high gamma gap, whereas the lowest proportion of heart failure (18.9%) and the lowest mortality rate (62.9%) was observed in those with high BMI and low gamma gap. After full adjustment in multivariate Logistic regression analysis, heart failure was most common in patients with low BMI and high gamma gap compared with those with high BMI and low gamma gap (hazard ratio [HR]: 2.82, 95% confidence interval [CI]: 1.79-4.48, P < 0.05). Meanwhile, multivariate Cox regression analysis showed that mortality rate was the highest in those with low BMI and high gamma gap compared with patients with high BMI and low gamma gap (HR: 1.65, 95% CI: 1.32-2.07, P < 0.05).

CONCLUSION

The combination of low BMI and high gamma gap could further promote heart failure and increase mortality rate in older patients with CAD. Future studies should explore the underlying mechanisms linking low BMI, high gamma gap, and mortality rate, as well as the potential benefits of nutritional and immunological interventions to improve health prognosis in older patients with CAD.

Differential associations between body mass index and outcome in different age groups in patients with myocardial infarction

Objective

To investigate the association between age and body mass index (BMI) and mortality in patients with myocardial infarction (MI). Methods We divided 6453 patients into three age groups (<60, 60–75, >75 years) and five BMI categories. Thirty-day and long-term all-cause mortality were assessed.

Results

No association was found between the BMI category and 30-day mortality in any age group. The association between BMI and long-term multivariable-adjusted mortality risk was age-dependent. Overweight patients had a lower risk than patients with BMI <25 kg/m² in all age groups (HR 0.62; 95%CI 0.45–0.85; p = 0.003, HR 0.78; 95%CI 0.65–0.93; p = 0.005, HR 0.82; 95%CI 0.70–0.95; p = 0.011 for ages <60, 60–75, >75 years, respectively). The lower risk of death as a function of BMI shifted upward with age, and the risk was also lower in patients with obesity grade I (HR 0.81; 95% CI 0.66–0.98; p = 0.035 and HR 0.78; 95% CI 0.63–0.97; p = 0.023 for ages 60–75, >75 years, respectively). Excessive obesity was harmful only in the oldest group. Patients with obesity grade III had more than a 2.5 times higher mortality risk than patients with BMI <25 kg/m² only in this group (HR 2.58; 95%CI 1.27–5.24; p = 0.009). An obesity paradox was found in all age groups.

Conclusion

Our results suggest that moderate weight gain with age improves long-term survival after MI and that the magnitude of this “protective” weight gain is greater in older compared to younger patients. However, excessive weight gain (obesity grade III) is particularly harmful in the oldest age group. The exact relationship between BMI, age, and mortality remains unclear.

Relationship of body fat and left ventricular hypertrophy with the risk of all-cause death in patients with coronary artery disease

BACKGROUND

Left ventricular hypertrophy (LVH) is prevalent in obese individuals. Besides, both of LVH and obesity is associated with subclinical LV dysfunction. The study aims to investigate the interplay between body fat and LVH in relation to all-cause death in patients with coronary artery disease (CAD).

METHODS

In this retrospective cohort study, a total of 2243 patients with angiographically proven CAD were included. Body fat and LV mass were calculated using established formulas. Patients were grouped according to body fat percentage and presence or absence of LVH. Cox-proportional hazard models were used to observe the interaction effect of body fat and LVH on all-cause death.

RESULTS

Of 2243 patients enrolled, 560 (25%) had a higher body fat percentage, and 1045 (46.6%) had LVH. After a median follow-up of 2.2 years, the cumulative mortality rate was 8.2% in the group with higher body fat and LVH, 2.5% in those with lower body fat and no LVH, 5.4% in those with higher body fat and no LVH, and 7.8% in those with lower body fat and LVH (log-rank P < 0.001). There was a statistically significant interaction between body fat percentage and LVH ( P interaction was 0.003). After correcting for confounding factors, patients with higher body fat and LVH had the highest risk of all-cause death (HR = 3.49, 95% CI: 1.40-8.69, P = 0.007) compared with those with lower body fat and no LVH; in contrast, patients with higher body fat and no LVH had no statistically significant difference in risk of death compared with those with lower body fat and no LVH (HR = 2.03, 95% CI: 0.70-5.92, P = 0.195).

CONCLUSION

A higher body fat percentage was associated with a different risk of all-cause death in patients with CAD, stratified by coexistence of LVH or not. Higher body fat was significantly associated with a greater risk of mortality among patients with LVH but not among those without LVH.

The fatter, the better in old age: the current understanding of a difficult relationship

PURPOSE OF REVIEW

Obesity has shown a protective effect on mortality in older adults, also known as the obesity paradox, but there are still controversies about this relationship.

RECENT FINDINGS

Recent studies have shown a J or U-shaped relationship between BMI and mortality, wherein an optimal range is described between 22 and 37 kg/m2 depending on the condition. Many mechanisms can explain this protective effect of higher BMI, fat/muscle mass storage, more aggressive treatment in obese individuals, loss of bone mineral content and selection bias. However, BMI must be used with caution due to its limitations to determine body composition and fat distribution.

SUMMARY

Although BMI is an easy tool to evaluate obesity, its protective effect may be present to certain extend, from normal range to class I obesity (BMI 30-34.9 kg/m2), but then it becomes detrimental. Skeletal muscle mass and muscle function associated with adipose tissue assessment can add valuable information in the risk stratification. Further studies should be performed prospectively, adjust BMI for cofounding variable and consider other elderly subpopulations. To promote healthy ageing, excessive fat mass should be avoided and maintenance or improvement of skeletal muscle mass and muscle function should be stimulated in older adults.

An obesity paradox in patients with myocardial infarction undergoing percutaneous intervention

BACKGROUND AND AIMS

Data concerning the relationship between body mass index (BMI) and outcome in myocardial infarction (MI) patients are inconclusive. Long-term data on the influence of BMI on survival in patients with MI who have undergone percutaneous intervention (PCI) are lacking. We aimed to assess the effect of different categories of BMI on long-term mortality.

METHODS AND RESULTS

A single-center retrospective study of 6496 patients with MI who underwent PCI was performed. Patients were divided into six categories according to their BMI and these were compared. All-cause mortality was assessed over a median period of 6.0 years. An inverse J-shaped relationship was observed between BMI and long-term mortality. The lowest mortality was observed in patients with class I obesity. The patients with a BMI below 25.0 kg/m² were more likely to die than patients with class I obesity. A gradual decrease in BMI below 25.0 kg/m² was associated with a progressively increased risk of dying, with underweight patients showing a 2.18-fold increase in mortality risk. An obesity paradox was present. In addition, the patients with class III obesity had a more than 70% higher long-term mortality risk as compared to the reference group. Both lower and higher degrees of BMI were found to be harmful in patients with MI who underwent PCI.

CONCLUSION

The obesity paradox was present in a very long-term follow-up of patients with MI who underwent PCI. However, both lower and higher BMI values are harmful, and an inverse J-shaped relationship between BMI and outcome was observed.