Use of Lifestyle Modifications for Management of a Patient with Severely High Total Cholesterol (&gt; 14 mmol/L) and Triglycerides (&gt; 40 mmol/L)

Patel, Janhavi; Sharma, Tanmya; Allan, Connor; Curnew, Gregory

doi:10.15280/jlm.2021.11.1.43

Cited by 6 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to BMI, lifestyle factors such as dietary patterns and physical activity are correlated with changes in triglyceride levels. Triglyceride levels can be reduced by consuming low-fat and low-glycemic index foods (Patel et al, 2021). Furthermore, consumption of foods containing monounsaturated fat has been proven to lower triglyceride levels (p-value 0.017) (Daud et al, 2018).…”

Section: Factors Influencing Triglyceride Levelsmentioning

confidence: 99%

Bahasa Indonesia

Sudarsono,

Patramurti

2024

jfu

View full text Add to dashboard Cite

Penyakit kardiovaskuler merupakan salah satu penyakit penyebab kematian terbesar di dunia dan menyumbang 35% kematian di Indonesia. Orang yang merokok lebih berisiko untuk mengalami kejadian penyakit kardiovaskuler, yang disebabkan karena adanya peningkatan lipolisis dan peningkatan trigliserida. Trigliserida merupakan penanda awal terjadinya peningkatan remnant cholesterol yang memicu penyakit kardiovaskuler. Penelitian ini merupakan penelitian observasional analitik dengan pendekatan cross-sectional yang dilakukan pada 31 orang laki-laki perokok yang terdiagnosis hipertensi. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh ketergantungan nikotin terhadap kadar trigliserida sebagai penanda awal peningkatan risiko kardiovaskuler. Ketergantungan nikotin diukur dengan menggunakan kuesioner Fagerstorm Test for Nicotine Dependence (FTND). Pengaruh ketergantungan nikotin terhadap kadar trigliserida dianalisis dengan menggunakan uji fisher sehingga didapatkan nilai odds ratio dan p-value. Hasil penelitian menunjukkan responden dengan ketergantungan nikotin tinggi memiliki kemungkinan nilai trigliserida ?150 mg/dL 0,333 kali (OR 0,333; 95% CI 0,051-2,177) lebih besar dibandingkan dengan responden dengan ketergantungan nikotin rendah meski tidak bermakna secara statistik (p-value 0,370).

show abstract

Section: Factors Influencing Triglyceride Levelsmentioning

confidence: 99%

Bahasa Indonesia

Sudarsono,

Patramurti

2024

jfu

View full text Add to dashboard Cite

show abstract

“…We read with great interest the report, written by Patel and Curnew, concerning the case of a patient with mixed hyperlipidemia for whom lifestyle treatment was effective [ 1 ]. The patient was initially diagnosed as familial hypercholesterolemia (FH) by a family physician and received pharmacological treatment with a proprotein convertase subtilisin/kexin type 9 inhibitor (PCSK9i) [ 1 ]. The report is instructive on the clinical practice in relation to FH and phenotypically confusing conditions.…”

mentioning

confidence: 99%

“…The report is instructive on the clinical practice in relation to FH and phenotypically confusing conditions. One of the confusing conditions was a case of hypercholesterolemia combined with hypertriglyceridemia as reported by Patel and Curnew [ 1 ]. We would like to add some further comments regarding the collaboration between family physicians and specialists.…”

mentioning

confidence: 99%

Collaboration between Family Physicians and Specialists in the Diagnosis and Management of Familial Hypercholesterolemia

Kotani¹

2021

J Lifestyle Med

View full text Add to dashboard Cite

Managing Dyslipidemia in Children: Current Approaches and the Potential of Artificial Intelligence

Abdullah,

Zaheer,

Saeed

et al. 2024

Cardiology in Review

View full text Add to dashboard Cite

Dyslipidemia is abnormal lipid and lipoprotein levels in the blood, influenced mainly by genetics, lifestyle, and environmental factors. The management of lipid levels in children involves early screening, nonpharmacological interventions such as lifestyle modifications and dietary changes, nutraceuticals, and pharmacological treatments, including drug therapy. However, the prevalence of dyslipidemia in the pediatric population is increasing, particularly among obese children, which is a significant risk factor for cardiovascular complications. This narrative review analyzes current literature on the management of dyslipidemia in children and explores the potential of artificial intelligence (AI) to improve screening, diagnosis, and treatment outcomes. A comprehensive literature search was conducted using Google Scholar and PubMed databases, focusing primarily on the application of AI in managing dyslipidemia. AI has been beneficial in managing lipid disorders, including lipid profile analysis, obesity assessments, and familial hypercholesterolemia screening. Deep learning models, machine learning algorithms, and artificial neural networks have improved diagnostic accuracy and treatment efficacy. While most studies are done in the adult population, the promising results suggest further exploring AI management of dyslipidemia in children.

show abstract

Use of Lifestyle Modifications for Management of a Patient with Severely High Total Cholesterol (> 14 mmol/L) and Triglycerides (> 40 mmol/L)

Cited by 6 publications

References 0 publications

Bahasa Indonesia

Bahasa Indonesia

Collaboration between Family Physicians and Specialists in the Diagnosis and Management of Familial Hypercholesterolemia

Managing Dyslipidemia in Children: Current Approaches and the Potential of Artificial Intelligence

Contact Info

Product

Resources

About