Could non-HDL-cholesterol be a better marker of atherogenic dyslipidemia in obstructive sleep apnea?

Background/objectiveObstructive sleep apnea (OSA) is independently associated with dyslipidemia, a surrogate marker of atherosclerosis. Low-density lipoprotein (LDL)-cholesterol is accepted as a major independent risk factor for cardiovascular disease. However, non-high-density lipoprotein (HDL)-cholesterol is a better marker of atherogenic dyslipidemia and recommended as a target of lipid lowering therapy. We aimed to assess the prevalence of atherogenic dyslipidemia, and relationship between OSA severity and serum LDL-cholesterol and non-HDL cholesterol levels in OSA patients.MethodsWe retrospectively evaluated treatment naïve 2361 subjects admitted to the sleep laboratory of a university hospital for polysomnography. All subjects’ lipid profile including total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides, and non-HDL-cholesterol were measured.ResultsOut of 2361 patients (mean age 49.6 ± 11.9 years; 68.9% male, apnea-hypopnea index 36.6 ± 28.4/h), 185 (7.8%) had no OSA and 2176 (92.2%) had OSA. Atherogenic dyslipidemia prevalence was high (57–66%) in OSA patients, and especially increased in severe OSA compared to other groups (p < 0.05). Though total and LDL-cholesterol did not differ between those with and without OSA, non-HDL-cholesterol (p = 0.020), and triglycerides (p = 0.001) were higher and HDL-cholesterol levels (p = 0.018) were lower in OSA patients than non-OSA. Non-HDL-cholesterol was significantly correlated with OSA severity (p < 0.001) and hypoxia parameters (p < 0.01), whereas LDL-cholesterol showed no correlation.ConclusionsAtherogenic dyslipidemia is highly prevalent and non-HDL-cholesterol levels are significantly increased, predominantly in severe OSA patients. Non-HDL-cholesterol but not LDL-cholesterol, is significantly correlated with OSA severity and hypoxia parameters. Therefore, it could be better to use non-HDL-cholesterol, which is a guideline recommended target of lipid therapy, as a marker of atherosclerotic cardiovascular risk in OSA patients.     

基于粒子群优化的BP神经网络对血脂异常气郁痰阻型中医证候的疗效预测＊

目的 选用两种药物分析对血脂异常、中医证候的疗效，以中医证候积分为基础建立血脂异常气郁痰阻型的疗效表征模型，进而提出基于粒子群优化的BP神经网络预测两种方法的疗效。方法 收集50名符合血脂异常气郁痰阻型患者的基本资料，将患者随机分为解郁祛痰化浊方组（JQHP）、血脂康胶囊组（XZKC），每组25例，观察疗程12周治疗前后的血脂水平，治疗前及治疗期间每4周记录一次中医证候积分，共4次。定性疗效分析参考血脂防治指南和中医疗效积分，采用t检验、非参数检验及X²分析的方法；神经网络模型采用粒子群优化的BP神经网络，定量构建血脂异常气郁痰阻证的预测模型，设置为三层网络，输入层节点数为15，隐含层节点数为6，输出层节点数为1。针对JQHP组和XZKC组的数据，分别选择80%的数据进行训练，20%的数据进行验证。结果 两组治疗前、治疗4周、治疗8周、治疗12周的中医证候积分随治疗周期的增加而下降（P < 0.05）。JQHP组除了“形体肥胖”外，其余14项症状均有显著的改善（P < 0.05），XZKC组治疗前后比较除“形体肥胖”、“头晕”、“胸闷”外，其余12项均改善（P < 0.05）。以中医证候积分建立的基于粒子群优化BP神经网络的预测精度高、稳定性佳，可以定量预测两种药物对未知患者的疗效。结论 JQHP和XZKC可以改善血脂异常患者的血脂水平，改善气郁痰阻型患者的症状，此为定性分析。利用中医证候积分建立的基于粒子群优化BP神经网络两种治疗方法的预测模型，可定量预测未知患者的疗效。以此思路将有助于找到一种特定治疗方法的适应人群，从而提高该治疗方法的针对性，实现中医药的智能化、精准化、定量化。     

血脂异常患者中医体质与钙镁锌的相关性研究＊

目的 探讨血脂异常患者中医体质与钙、镁、锌之间的相关性。方法 2019年4月至2020年10月在上海熙康门诊部收集血脂异常患者200例，血脂正常人群100例为对照组。检测血脂指标（TC、TG、LDL-C、HDL-C）及血钙、镁、锌指标，并对血脂异常组进行中医体质评估。使用方差分析、多元线性回归和Logistic回归分析异常组体质类型与钙、镁、锌及血脂指标的相关性。结果 ①血脂异常组钙、镁、锌水平均低于对照组（P < 0.001）；②不同体质之间的钙均值有差异（P < 0.001）；③多元线性回归分析显示钙与LDL-C相关（P = 0.039），锌与TC相关（P = 0.03）；④Logistic回归分析显示钙与阳虚质及痰湿质相关，TG与阳虚质相关（P < 0.001），TC与痰湿质相关（P < 0.001）。结论 血脂异常患者血钙、镁、锌微量元素水平及血脂指标与中医体质分型存在一定相关。     

基于数据挖掘和网络药理学的血脂异常用药规律和作用机制研究＊

目的 从文献研究的角度出发，运用数据挖掘和网络药理学研究方法，探讨中医药在血脂异常治疗中的组成规律和作用机制研究，为该病的防治提供参考。方法 以1979-2019年“中国知网（CNKI）”、“万方数据”、“维普中文期刊”等数据库中检索到的中药复方治疗血脂异常文献为数据来源，采用中医传承辅助平台对其进行频次分析、关联规则分析和熵聚类方法分析，研究防治血脂异常方药组成规律，并在此基础上采用网络药理学方法，通过KEGG通路和基因本体富集分析，研究高频核心药物的生物信号通路，阐明其作用机制。结果 共计786篇文献符合检索条件，包含314味中药，发现48味高频中药，按照药物使用频次从高到低排序为：活血化瘀药、补虚药（健脾补肾为主）、利水渗湿药、消食化积药；药物性味以温、苦为主，归肝经和脾经最多；进一步关联分析得到高频药对（药组）17个；经过熵聚类分析发现潜在药物组合22个和新方组合11个。应用网络药理学研究方法，对核心药组“山楂、泽泻和决明子”的作用机制进行探索，发现其主要通过作用于包括雌激素受体1（ESR1）、大麻素受体1型（CNR1）、糖皮质激素受体基因（NR3C1）、环氧合酶2（PTGS2/COX2）等潜在靶点，干预三羧酸（TCA）循环、脂质代谢、脂肪酸降解等调节血脂相关的关键信号通路而发挥调节血脂作用。结论 中药治疗血脂异常以健脾补肾治其本，活血化瘀、消痰化积治其标的方法为主，核心药组的作用机制可能是通过干预脂质代谢和基础代谢相关通路发挥治疗作用。     

Managing cardiovascular disease risk in South Asian kidney transplant recipients

South Asians (SA) are at higher cardiovascular risk than other ethnic groups, and SA kidney transplant recipients (SA KTR) are no exception. SA KTR experience increased major adverse cardiovascular events both early and late post-transplantation. Cardiovascular risk management should therefore begin well before transplantation. SA candidates may require aggressive screening for pre-transplant cardiovascular disease (CVD) due to their ethnicity and comorbidities. Recording SA ethnicity during the pre-transplant evaluation may enable programs to better assess cardiovascular risk, thus allowing for earlier targeted peri- and post-transplant intervention to improve cardiovascular outcomes. Diabetes remains the most prominent post-transplant cardiovascular risk factor in SA KTR. Diabetes also clusters with other metabolic syndrome components including lower high-density lipoprotein cholesterol, higher triglycerides, hypertension, and central obesity in this population. Dyslipidemia, metabolic syndrome, and obesity are all significant CVD risk factors in SA KTR, and contribute to increased insulin resistance. Novel biomarkers such as adiponectin, apolipoprotein B, and lipoprotein (a) may be especially important to study in SA KTR. Focused interventions to improve health behaviors involving diet and exercise may especially benefit SA KTR. However, there are few interventional clinical trials specific to the SA population, and none are specific to SA KTR. In all cases, understanding the nuances of managing SA KTR as a distinct post-transplant group, while still screening for and managing each CVD risk factor individually in all patients may help improve the long-term success of all kidney transplant programs catering to multi-ethnic populations.     

肥胖患者椎管内麻醉后低血压的危险因素及预测的有效性

目的探讨肥胖患者椎管内麻醉后发生低血压的危险因素,评估肥胖相关指标预测椎管内麻醉后低血压的效果。方法选取2018年6月至2019年6月在本院择期行椎管内麻醉手术肥胖患者228例,男115例,女113例,年龄18～70岁,BMI≥24 kg/m~2,ASAⅠ或Ⅱ级。根据患者椎管内麻醉后仰卧位10 min内是否发生低血压分为两组:低血压组和非低血压组,低血压定义为MAP下降幅度超过基线值的20%。采用二元logistic回归分析肥胖患者椎管内麻醉后发生低血压的危险因素,并用受试者工作特征曲线(ROC)计算肥胖相关测量指标对椎管内麻醉后低血压的预测效果及阈值。结果共有97例(42.5%)患者椎管内麻醉后发生低血压。其中血脂异常(OR=3.593,95%CI 1.974～6.541)和腹型肥胖(OR=1.980,95%CI 1.068～3.668)是肥胖患者椎管内麻醉后发生低血压的独立危险因素。在肥胖相关测量指标中,腰围对肥胖患者椎管内麻醉后低血压的预测效果最优,男性患者阈值为87.5 cm,敏感性92.9%,特异性81.4%。女性患者阈值为83.5 cm,敏感性89.6%,特异性93.8%。结论术前重视肥胖患者的血脂及腰围可以有助于预测椎管内麻醉后低血压。