Lipoprotein(a) serum concentrations in children in relation to body mass index, age and sex.

BACKGROUND: Lipoprotein(a) (Lp(a)) is an inherited risk factor for atherosclerotic cardiovascular disease (ASCVD). Limited data exist on Lp(a) values in children. We aimed to evaluate whether Lp(a) concentrations in youth are influenced by BMI. METHODS: 756 blood samples of 248 children with obesity and 264 matched healthy children aged 5 and 18 years, enrolled in the population-based LIFE Child (German civilization diseases cohort) study, were analyzed. Repeat measurements were available in 154 children (1-4 follow ups, ~1 year apart). RESULTS: The median Lp(a) concentration in the total cohort (n = 512) at first visit was 9.7 mg/dL (IQR 4.0-28.3). Lp(a) concentrations between 30-50 mg/dL were observed in 11.5%, while 12.5% exhibited Lp(a) ≧50 mg/dL. There was no association of Lp(a) with body mass index (BMI) (ß = 0.004, P = 0.49). Lp(a) levels did not correlate with age or sex, while Lp(a) was associated positively with low-density lipoprotein cholesterol (ß = 0.05, P < 0.0001). The Lp(a) risk category remained stable in 94% of all children in repeated measurements. CONCLUSIONS: The data showed no association of Lp(a) levels in children with BMI, age or sex. Measurement of Lp(a) in youth may be useful to identify children at increased lifetime risk for ASCVD. IMPACT: In youth, Lp(a) levels are not affected by age, sex and BMI. Lp(a) risk categories remain stable over time in repeated measurements in children. Measurement of Lp(a) in children may be useful as an additional factor to identify children at increased lifetime risk for ASCVD and for reverse family screening.

LDL cholesterol target attainment in cardiovascular high- and very-high-risk patients with statin intolerance: a simulation study.

The inability to tolerate sufficient doses of statins, statin intolerance (SI), contributes to the non-achievement of guideline-recommended low-density lipoprotein cholesterol (LDL-C) treatment targets. Patients with SI require alternative lipid-lowering therapies (LLT). We conducted a simulation study on LDL-C target achievement with oral LLT (ezetimibe, bempedoic acid) in patients with SI, using representative data of 2.06 million German outpatients. SI was defined using literature-informed definitions based on electronic medical records (EMR). Among n = 130,778 patients with hypercholesterolaemia, available LDL-C measurement, and high or very-high cardiovascular risk, 8.6% met the definition of SI. Among patients with SI, 7.7% achieved the LDL-C target at baseline. After simulation of the stepwise addition of treatment with ezetimibe and bempedoic acid, 22.6 and 52.0% achieved the LDL-C target, respectively. The median achieved LDL-C was 80 and 62 mg/dL, the corresponding reductions from baseline were 20.0 and 38.0%, respectively. A higher proportion of patients classified as high risk achieved the target compared to those at very-high risk (58.1 vs. 49.9%). In conclusion, in patients with increased cardiovascular risk meeting the definition of SI based on EMR, combination LLT with ezetimibe and bempedoic acid has the potential to substantially increase the proportion of patients achieving clinically relevant LDL-C reductions.

Quality of life in patients with statin intolerance: a multicentre prospective registry study.

Background: Statin intolerance is associated with increased cardiovascular risk. Symptoms and patients' characteristics are incompletely known. We aimed to analyse the health-related quality of life (QOL) associated with statin intolerance. Methods: The Statin Intolerance Registry (SIR) is an observational, prospective, multicentre study that included 1111 patients, with intolerance to at least two different statins, between 2021 and 2023 in Germany. SIR baseline data were compared to individuals with and without statin therapy of the population-based LIFE-Adult Study (n = 9983). Findings: The mean age in SIR was 66.1 years (standard deviation (SD) 9.9). The cohort was characterized by a higher proportion of women compared to patients on statins in LIFE-Adult (57.7% vs. 38.2%). SIR patients had impaired QOL (mean EQ VAS score of 64.9 (SD 18.1)) as measured by EuroQol (EQ-5D-5L)), which further deteriorated with age. Muscle symptoms were frequent (95.8%) and were associated with severe pain in 43.2% and intake of pain medication in 32.3% of statin intolerant patients. 10.3% had a diagnosis of depression. Women reported more pronounced symptoms than men. A data-driven k-means analysis, based on variables predicting severity of pain while on statin therapy, identified five clusters of SIR patients. The clusters differed in sex, prevalence of depression, QOL, comorbidities, and expectations to tolerate statin therapy. Interpretation: Statin intolerance is associated with impaired QOL. Women are more frequently and severely affected. The identified clusters may help to identify patients at risk and to develop individualized strategies to improve patient trajectories and outcomes. Funding: Leipzig University, research grants from Daiichi Sankyo, Novartis, and Amgen to Leipzig University.

Trends and consequences of lipoprotein(a) testing: Cross-sectional and longitudinal health insurance claims database analyses.

BACKGROUND AND AIMS: Lipoprotein(a) (Lp(a)) is associated with an increased risk of atherosclerotic cardiovascular disease (ASCVD). Our goal was to characterize patients undergoing Lp(a) testing and to assess the impact of Lp(a) testing on treatment changes and subsequent ASCVD events. METHODS: A cross-sectional and a longitudinal claims data analysis were performed on 4 million patient records in Germany. Patients were followed up for a maximum of 4 years. RESULTS: In 2015 and 2018, 0.25% and 0.34% of patients were tested, respectively. Testing was more frequent in younger women in the overall population, and in men in the ASCVD population. Patients tested for Lp(a) had more comorbidities and higher ASCVD risk compared to matched control patients. ASCVD hospitalizations were more frequent prior to the first Lp(a) test (5.55 vs 1.42 per 100/person-years). The mortality rate of the Lp(a)-tested cohort and the control group was similar. Mortality was lower in patients with prior ASCVD and Lp(a) testing compared to matched controls with prior ASCVD and no Lp(a) test (2.30 vs 3.64 per 100/person-years, p <0.001). Patients with Lp(a) test received more laboratory examinations and cardiovascular medications and had more visits with specialized physicians. CONCLUSIONS: Lp(a) testing is rarely performed even in patients with very high cardiovascular risk. Patients tested for Lp(a) have more comorbidities and a higher ASCVD risk. Lp(a) testing is associated with more intensive preventive treatment and with positive effects on clinical outcomes and survival. The data support the value of Lp(a) measurements to characterize ASCVD risk and to improve ASCVD prevention.