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目的观察表观健康人群血脂含量与年龄和性别的关系,分析血脂与载脂蛋白的相关性,为建立血脂参考范围和预防心血管疾病提供科学依据。方法采用贝克曼AU5421全自动生化分析仪对5701名20~60岁的表观健康体检者进行TC、HDL-C、LDL-C、TG、LP(a)、ApoAI和ApoB的测定,同时收集年龄和性别信息,对数据进行趋势检验和相关性分析。结果血脂四项随年龄呈单向变化(P<0.01),TC、LDL-C和TG血清含量随年龄递增,HDL-C随年龄递减,在男女分层和总人群中,血脂含量随年龄的变化趋势一致。血脂四项在不同性别间存在显著性差异(P<0.01),男性TC、LDL-C和TG血清含量高于女性,HDL-C含量低于女性。相关分析发现,TC、LDL-C和ApoB呈强的正相关(r>0.7,P<0.01),HDL-C与ApoAI也存在强的正相关(r>0.7,P<0.01)。结论表观健康人群具有血脂增龄现象,血脂含量在不同性别间存在显著差异,提示临床建立参考范围时应考虑年龄和性别因素的影响。同时发现载脂蛋白与血脂含量具有很强的相关性,载脂蛋白有可能成为心血管疾病发病风险的预测指标。
Objective To observe the relationship between serum lipid level and age and gender in apparently healthy people, analyze the correlation between lipids and apolipoprotein, and provide a scientific basis for setting reference range of lipids and preventing cardiovascular diseases. Methods The Beckman AU5421 automatic biochemical analyzer was used to measure the levels of TC, HDL-C, LDL-C, TG, LP (a), ApoAI and ApoB in 5701 healthy subjects aged 20-60 years. And gender information, the data trend test and correlation analysis. Results The serum levels of TC, LDL-C and TG increased with age and the HDL-C decreased with age. In the stratified and total population of men and women, the levels of serum lipids increased with age (P <0.01) The same trend. There were significant differences in serum lipids among different sexes (P <0.01). Serum levels of TC, LDL-C and TG were higher in males than in females and HDL-C was lower than females. Correlation analysis showed that there was a strong positive correlation between TC, LDL-C and ApoB (r> 0.7, P <0.01), and there was a strong positive correlation between HDL-C and ApoAI (r> 0.7, P <0.01). Conclusion The apparent healthy population has the phenomenon of aging of blood lipids, and there is significant difference of blood lipid among different sexes. It suggests that the influence of age and gender should be taken into account when establishing the reference range in clinic. At the same time, it was found that apolipoprotein has a strong correlation with blood lipid content. Apolipoprotein may be a predictor of the risk of cardiovascular disease.