Cardiometabolic predictors of quantitative high-risk plaque features in a diverse patient population

Background/Introduction

Little is known about the prevalence of high-risk plaque features or cardiometabolic predictors in diverse patient populations with underrepresented minorities, in the setting of stable chest pain.

Purpose

The goals of our study are to 1) describe plaque characteristics in a diverse patient population with underrepresented minorities and 2) characterize cardiometabolic risk factors associated with high prevalence of high-risk quantitative low attenuation noncalcified plaque (LDNCP) burden.

Methods

Our study included patients with chest pain undergoing CCTA between June 2016 and October 2021 for stable chest pain, who had a complete cardiometabolic panel including lipoprotein(a) and lipid panel, and at least one blood pressure recording before CCTA. Patients with prior PCI or CABG where excluded. CACS was performed before CCTA as per Agatston method and quantified in Agatston Units (AU). Stenosis was graded as per SCCT guidelines by cardiologists and radiologists with level 3 cardiac CT expertise. Plaque measurements were performed using previously validated semiautomated software (AutoPlaque version 2.5) in all patients with CAD-RADS >0 by expert readers blinded from patients' characteristics. Coronary atherosclerotic plaque volumes were measured. Independent predictors for plaque on CCTA among patients were examined using Wilcox multivariate logistic regression.

Results

A total of 227 consecutive patients were included in our study (see table; age 55.00 [47.50–62.00] years, 63% female, 16% diabetes, 44% hypertension, 40% hyperlipidemia and 32% with current or previous smoking history). Majority of patients were Hispanic (64%) and the rest were Black (27%), White (6%) and Asian (3%).

Patients with LDNCP burden >4% were older (60.00 [52.00–66.50] vs 53.00 [43.75–61.00]; p<0.001), more likely to be diabetic (27.7 vs 11.5%; p=0.005), hypertensive (67.7 vs 33.8%; p<0.001), hyperlipidemic (64.6 vs 29.9%; p<0.001) and present smokers (31.3 vs 13.9%; p=0.003). Almost all patients (63/67) with LDNCP burden >4% had non-obstructive disease (CAD-RADS<4).

Patient with LDNCP burden >4% were more likely to be on statin therapy (46.0 vs 30.4%; p=0.041). There was no differences in ethnicity, hemoglobin A1C, TC, LDL-C, HLD-C, TGs, lipoprotein(a), SBP or DBP.

By logistic regression analysis, age (OR [CI]: 1.06 [1.01–1.08]), hypertension (2.20, [1.06–4.63]) and hyperlipidemia (2.73 [1.37–5.47]) increased the likelihood of LDNCP burden >4%, but not Lipoprotein (a)>175 nmol/L (OR [CI]: 1.07 [0.48–2.31].

Conclusions

In our cohort of patients with high number of unrepresented minorities presenting with stable chest pain, almost all patients (94%) with LDNCP burden >4% had non-obstructive CAD (CAD-RADS<4). There were no differences in prevalence of LDNCP or CAD-RADS among different ethnic groups. Age, hypertension and hyperlipidemia, were the cardiometabolic factors related to LDNCP burden >4%.

Funding Acknowledgement

Type of funding sources: None.

Amyloidosis-related echo features and mortality in patients with multiple myeloma

Background/Introduction

Patients with multiple myeloma (MM) are at increased risk of developing AL amyloidosis. It was determined by screening fat pad and bone marrow biopsy that 38% MM patients had amyloidosis at time of diagnosis and the majority were asymptomatic (1). However, whether amyloidosis-related echo features in MM affect survival remains unknown (1, 2).

Purpose

The goals of our study are to: 1) characterize prevalence of amyloidosis-related echo features in patients with multiple myeloma, 2) investigate whether decrease in longitudinal strain affect survival outcomes.

Methods

Patients diagnosed with MM between Jan 1, 2000 and Dec 31, 2017 at our institution were identified through Clinical Looking Glass. Those with echo within 1 year after myeloma diagnosis and left ventricular ejection fraction (LVEF) greater than 40% were included. Global longitudinal strain (GLS) and LVEF measurements were done using EchoGo (Ultromics, Oxford, UK). The average of GLS obtained from apical 4-chamber and apical 2-chamber views was used for analysis, with decreased GLS defined as absolute value less than 18%. Statistical analysis was conducted with STATA13, using Chi square test and Kruskal-Wallis for univariable analysis and Cox regression model for survival analysis.

Results

From a total cohort of 909 patients, 252 met inclusion criteria, of which 59 (23.4%) patients had decreased average GLS (see Table 1). Patients' mean age was 63±11 years, 44.8% were male and most were Black (42.7%) and the rest Hispanic (33.3%) and White (7.9%). Median follow up time was 4.25 years. The group with decreased GLS had lower percentage of females (22% vs 51.8%, p<0.01), higher percentage of previous MI (11.9% vs 1.6%, p<0.01) and more prior diagnosis of heart failure (20.3% vs 1.6%, p<0.01).

Among patients with decreased GLS, five-year mortality rate was 63.3% compared to 46.0% in those with preserved GLS (p<0.036). Median survival time was 3.9 years among those with reduced GLS and 4.3 years in those without (see Figure 1; p<0.01). Reduced GLS correlated with decreased survival (HR 1.6, p=0.03) even after adjusting for demographic variables (age, gender, race), history of MI, history of CHF, Charlson comorbidity index, myeloma RISS stage, and LVEF (≥50% vs 40–50%).

Forty-seven (18.6%) patients had end diastolic inter-ventricular septum (IVSd) thickness ≥1.2cm. Median GLS in patients with increased IVSd thickness was 19% compared to 21% in those without (p=0.01). Nine patients had the apical sparing strain pattern for amyloidosis.

Total of 158 patients had bone marrow specimen stained with Congo-red with 7 (4.4%) testing positive. Median GLS was 19% in the group staining positive for Congo-red compared 21% in the group with negative stain (p=0.03).

Conclusions

Decrease in GLS on baseline echo correlates with increased mortality in patients with MM and may be due to subclinical cardiac amyloidosis.

Funding Acknowledgement

Type of funding sources: None.