Lipid Levels and 3-Month Prognosis After Spontaneous Intracerebral Hemorrhage in Women
第一作者:Hao Feng,Xin Wang
通讯作者:Xingquan Zhao
2021-06-17
发表杂志:Frontiers in Neurology
发表类型: Original Contributions
影响因子(IF): 4.003
PMID: 34220692 Pubmed原文链接 全文下载
The relationship between serum lipids levels and prognosis after spontaneous intracerebral hemorrhage (ICH) is still unclear. We aim to examine the association between lipid levels and 3-month ICH prognosis in women.
We went through a registry of spontaneous ICH cases and selected female patients to study according to our criteria. We collected demographic, clinical, and laboratory information and evaluated serum triglyceride (TG) levels, total cholesterol (TC) levels, low-density cholesterol (LDLC) levels, high-density cholesterol (HDLC) levels, non-high-density cholesterol (non-HDLC) levels, and 3-month modified Rankin Scale (mRS). Multivariate logistic regression was performed, and receiver operating characteristic (ROC) curves were plotted to explore the relationship between serum lipid levels and 3-month ICH clinical outcomes.
Low levels of TG, TC, LDLC, non-HDLC, and high levels of HDLC were independently associated with poor prognosis of spontaneous ICH in women.
Two hundred six female patients were included in this study, and 96 (46.6%) of them had poor functional outcomes. In the univariate analysis, low TG (p = 0.006), TC (p = 0.025), LDLC (p = 0.001), non-HDLC (p < 0.001) levels, and high HDL (p = 0.036) levels were associated with poor 3-month clinical outcomes in women. In the multivariate logistic regression, low levels of TG (OR = 0.711, 95% CI = 0.542–0.933, p = 0.014), TC (OR = 0.523, 95% CI = 0.304–0.903, p = 0.020), LDLC (OR = 0.538, 95% CI = 0.307–0.942, p = 0.030), non-HDLC (OR = 0.327, 95% CI = 0.177–0.603, p < 0.001), and a high level of HDLC (OR = 2.075, 95% CI = 1.064–4.047, p = 0.032) with area under the curve (AUC) of 0.610, 0.590, 0.630, 0.645, and 0.415, respectively, remained as independent indicators of poor prognosis at 3 months after adjusting for confounding factors.