PDF(Pubmed)
Abstract：
UNASSIGNED: Previous studies simply linearized the relationship between low density lipoprotein (LDL) and diabetic macular edema\'s (DME) probability, ignoring the possibility of a nonlinear relationship between them. We aimed to investigate the nonlinear relationship between LDL and DME probability in patients with type 2 diabetes mellitus (T2DM).
UNASSIGNED: The study recruited 431 T2DM patients who attended Guangdong Provincial People\'s Hospital from December 2017 to November 2018. A multivariate logistic regression model was conducted to evaluate the association between LDL and DME probability. The nonlinear relationship was identified by generalized additive model. Subgroup analyses were performed to assess the consistency of the association in different subgroups.
UNASSIGNED: LDL was positively associated with DME probability (OR=1.60, 95% CI: 1.10~2.34, P=0.0145) after adjusting for covariates. A nonlinear relationship between LDL and DME probability was discovered, with an inflection point for LDL around 4.85 mmol/L (95% CI: 4.18~4.93, P=0.037). The effect sizes and the confidence intervals on the left and right sides of inflection point were 2.17 (1.31 to 3.58) and 0.26 (0.04 to 1.77), respectively. Subgroup analyses revealed other variables had no effect on the association between them.
UNASSIGNED: Our finding suggested LDL was positively correlated with DME probability in T2DM patients. And the relationship between LDL and DME probability was nonlinear. Our findings need to be confirmed by further causal researches.
UNASSIGNED: The study recruited 431 T2DM patients who attended Guangdong Provincial People\'s Hospital from December 2017 to November 2018. A multivariate logistic regression model was conducted to evaluate the association between LDL and DME probability. The nonlinear relationship was identified by generalized additive model. Subgroup analyses were performed to assess the consistency of the association in different subgroups.
UNASSIGNED: LDL was positively associated with DME probability (OR=1.60, 95% CI: 1.10~2.34, P=0.0145) after adjusting for covariates. A nonlinear relationship between LDL and DME probability was discovered, with an inflection point for LDL around 4.85 mmol/L (95% CI: 4.18~4.93, P=0.037). The effect sizes and the confidence intervals on the left and right sides of inflection point were 2.17 (1.31 to 3.58) and 0.26 (0.04 to 1.77), respectively. Subgroup analyses revealed other variables had no effect on the association between them.
UNASSIGNED: Our finding suggested LDL was positively correlated with DME probability in T2DM patients. And the relationship between LDL and DME probability was nonlinear. Our findings need to be confirmed by further causal researches.
摘要：
■先前的研究只是将低密度脂蛋白（LDL）与糖尿病性黄斑水肿（DME）概率之间的关系线性化，忽略了它们之间存在非线性关系的可能性。我们旨在研究2型糖尿病（T2DM）患者LDL与DME概率之间的非线性关系。
■本研究招募了2017年12月至2018年11月在广东省人民医院就诊的431名T2DM患者。采用多因素logistic回归模型评价LDL与DME概率的相关性。通过广义加性模型识别非线性关系。进行亚组分析以评估不同亚组中关联的一致性。
■LDL与DME概率呈正相关(OR=1.60,95%CI:1.10~2.34,P=0.0145)。发现了LDL和DME概率之间的非线性关系，LDL拐点在4.85mmol/L左右(95%CI:4.18~4.93,P=0.037)。拐点左右两侧的效应大小和置信区间分别为2.17（1.31至3.58）和0.26（0.04至1.77），分别。亚组分析显示其他变量对它们之间的关联没有影响。
■我们的发现提示在T2DM患者中LDL与DME概率呈正相关。LDL与DME概率之间呈非线性关系。我们的发现需要进一步的因果研究来证实。
■本研究招募了2017年12月至2018年11月在广东省人民医院就诊的431名T2DM患者。采用多因素logistic回归模型评价LDL与DME概率的相关性。通过广义加性模型识别非线性关系。进行亚组分析以评估不同亚组中关联的一致性。
■LDL与DME概率呈正相关(OR=1.60,95%CI:1.10~2.34,P=0.0145)。发现了LDL和DME概率之间的非线性关系，LDL拐点在4.85mmol/L左右(95%CI:4.18~4.93,P=0.037)。拐点左右两侧的效应大小和置信区间分别为2.17（1.31至3.58）和0.26（0.04至1.77），分别。亚组分析显示其他变量对它们之间的关联没有影响。
■我们的发现提示在T2DM患者中LDL与DME概率呈正相关。LDL与DME概率之间呈非线性关系。我们的发现需要进一步的因果研究来证实。
