Dyslipidemia in the First 100 days and the Association with Acute Graft-versus-host Disease after Allogeneic Stem Cell Transplantation: A Single-center Retrospective Study in China.
Yingxue LuDai YuanJie PanXiaosheng FangMei DingKang LuXueling GeHuiting QuRongqiang MaLingyan ZhangHongzhi XuXin WangYujie JiangPublished in: Transplant immunology (2023)
Dyslipidemia is a common complication after allogeneic hematopoietic stem cell transplantation (allo-HSCT). The interaction between post-transplant hyperlipidemia and acute graft-versus-host disease (aGVHD) is uncertain. In this study, we performed a retrospective study to explore the relationship between dyslipidemia and aGVHD and the potential mechanism of aGVHD on dyslipidemia in 147 recipients who underwent allo-HSCT. The lipid profiles, transplantation details, and other laboratory data of the subjects were collected in the first 100 days post-transplantation. Our results indicated 63 patients with new-onset hypertriglyceridemia and 39 patients with new-onset hypercholesterolemia. A total of 57 (38.8%) patients developed aGVHD after transplantation. In a multifactorial analysis, aGVHD was an independent factor in the development of dyslipidemia in recipients (P < 0.05). After transplantation, the median LDL-C level of patients with aGVHD was 3.04 mmol/L (standard deviation value (SD): 1.36 mmol/L, 95% confidence interval (CI): 2.62, 3.45 mmol/L), and the LDL-C level in patients without aGVHD was 2.51 mmol/L (SD: 1.38 mmol/L, CI: 2.67, 3.40 mmol/L) (P < 0.05). Female recipients had higher lipid levels than males (P < 0.05). LDL levels (≥ 3.4 mmol/L) post-transplant were an independent risk factor for the development of aGVHD (OR = 0.311, P < 0.05). In conclusion, larger sample studies are anticipated to confirm our preliminary result, and an accurate mechanism between lipid metabolism and aGVHD needs to be determined in the future.
Keyphrases
- stem cell transplantation
- end stage renal disease
- allogeneic hematopoietic stem cell transplantation
- ejection fraction
- newly diagnosed
- chronic kidney disease
- high dose
- acute lymphoblastic leukemia
- type diabetes
- liver failure
- adipose tissue
- cell therapy
- prognostic factors
- stem cells
- fatty acid
- machine learning
- intensive care unit
- acute myeloid leukemia
- climate change
- respiratory failure
- hepatitis b virus
- bone marrow
- metabolic syndrome
- big data
- extracorporeal membrane oxygenation
- current status
- artificial intelligence
- kidney transplantation
- deep learning
- cardiovascular events
- aortic dissection