Evaluation and Management of Dyslipidemia in Patients Treated with Lorlatinib.
Normand BlaisJean-Philippe AdamJohn NguyenJean C GrégoirePublished in: Current oncology (Toronto, Ont.) (2021)
The use of lorlatinib, an anaplastic lymphoma kinase (ALK) inhibitor for the treatment of ALK -positive metastatic non-small cell lung cancer, is associated with dyslipidemia in over 80% of patients. Clinical trial protocols for the management of lorlatinib-associated dyslipidemia differ from clinical practice guidelines for the management of dyslipidemia to prevent cardiovascular disease, in that they are based on total cholesterol and triglyceride levels rather than on the low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol levels that form the basis of current cardiovascular guideline recommendations. In order to simplify and harmonize the management of cardiovascular risk in patients with lorlatinib, an advisory committee consisting of a medical oncologist, a cardiologist, and two pharmacists with expertise in cardiology and oncology aimed to develop a simplified algorithm, adapted from the Canadian Cardiovascular Society dyslipidemia recommendations. Recommendations for the evaluation and management of hypercholesterolemia and isolated hypertriglyceridemia in patients treated with lorlatinib are outlined. These recommendations are based on data collected in a large number of lipid-lowering therapy trials applicable to individuals with and without cancer. Considering the relatively long life expectancy and improving prognosis of patients with ALK translocations, this specific patient population should be treated as are patients without cancer and are likely to derive the same benefits from lipid-lowering therapy.
Keyphrases
- end stage renal disease
- cardiovascular disease
- clinical trial
- newly diagnosed
- ejection fraction
- chronic kidney disease
- small cell lung cancer
- papillary thyroid
- healthcare
- prognostic factors
- deep learning
- palliative care
- stem cells
- mesenchymal stem cells
- peritoneal dialysis
- fatty acid
- big data
- electronic health record
- young adults
- cardiovascular risk factors
- cardiac surgery
- bone marrow
- artificial intelligence
- smoking cessation