Biochemical and Anthropometric Outcomes in Paediatric Patients with Heterozygous Familial Hypercholesterolemia after COVID-19 Pandemic Lockdowns: An Exploratory Analysis.
Maria PeresAndré Moreira-RosárioGonçalo PadeiraPatrícia Gaspar SilvaCarla CorreiaAndreia NunesElisabete GarciaAna FariaDiana TeixeiraConceição CalhauLuís Pereira-da-SilvaAna Cristina FerreiraJúlio César RochaPublished in: Nutrients (2024)
The COVID-19 pandemic lockdowns affected the lifestyles of children and adolescents, leading to an increase in childhood obesity. Paediatric patients with familial hypercholesterolemia (FH) may be more susceptible to lockdown effects due to their increased cardiovascular risk. However, data are lacking. We investigated the effect of lockdowns on the metabolic profile of paediatric patients with FH. Blood lipids and anthropometry measured in September 2021-April 2022 were retrospectively compared with pre-pandemic values. Thirty participants were included (1-16 years; 57% female). From baseline to post-pandemic, median [P25, P75] blood LDL-C concentration was 125 [112, 150] mg/dL vs. 125 [100, 147] mg/dL ( p = 0.894); HDL-C was 58 [52, 65] mg/dL vs. 56 [51, 61] mg/dL ( p = 0.107); triglycerides were 64 [44, 86] mg/dL vs. 59 [42, 86] mg/dL ( p = 0.178). The BMI z-score did not change significantly (0.19 [-0.58, 0.89] vs. 0.30 [-0.48, 1.10], p = 0.524). The lack of deterioration in metabolic profiles during lockdowns is positive, as some deterioration was expected. We speculate that patients and caregivers were successfully educated about healthy lifestyle and dietary habits. Our results should be interpreted with caution since the study sample was small and heterogeneous. Multicentre research is needed to better understand the impact of lockdowns on this population.
Keyphrases
- sars cov
- intensive care unit
- coronavirus disease
- end stage renal disease
- clinical trial
- ejection fraction
- palliative care
- metabolic syndrome
- cardiovascular disease
- chronic kidney disease
- prognostic factors
- type diabetes
- electronic health record
- peritoneal dialysis
- mass spectrometry
- early onset
- machine learning
- cross sectional
- adipose tissue
- big data
- deep learning
- patient reported outcomes
- weight gain
- atomic force microscopy