高莹
中国医学科学院阜外医院 心血管内科
AIMS:This study aimed to evaluate the association of sleep quality and its long-term change with the risk of type 2 diabetes mellitus (T2DM) and to assess the relationship between sleep duration and the risk of T2DM according to categories of sleep quality.MATERIALS AND METHODS:5728 participants free of T2DM at wave 4 from the English Longitudinal Study of Ageing were included and received a follow-up with a median time of 8 years. We created a sleep quality score to evaluate sleep quality, which was based on three Jenkins Sleep Problems Scale questions (the frequency of feeling hard to fall asleep, waking up at night, and feeling tired in the morning) and one question for rating overall sleep quality. Participants were allocated into three groups according to their baseline sleep quality scores (groups of good [4-8], intermediate [8-12], and poor quality [12-16]). Sleep duration was assessed by a self-reporting sleep hours from each participant.RESULTS:411 (7.2%) T2DM cases were documented during the follow-up. Compared with the good quality group, subjects with poor sleep quality showed a significantly higher risk of T2DM (hazard ratio (HR) 1.45, confidence interval (CI) 1.09, 1.92). In participants with good baseline sleep quality, those who experienced worsened sleep quality showed a significantly increased T2DM risk (HR 1.77, 95% CI 1.26, 2.49). Type 2 diabetes mellitus risk was not changed regardless of sleep duration in subjects with good quality. Short sleep duration (≤4h) was associated with an elevated T2DM risk in participants with intermediate sleep quality, and both short (≤4h) and prolonged sleep time (≥9h) were associated with an increased T2DM risk in the poor sleep quality group.CONCLUSIONS:Poor sleep quality is correlated with an increase in T2DM risk, and regulating sleep quality to a good range could potentially be an effective approach for preventing T2DM.
Diabetes/metabolism research and reviews 2023
BACKGROUND:Familial hypercholesterolemia (FH) leads to high plasma low-density lipoprotein cholesterol (LDL-C) levels and early cardiovascular morbidity and mortality. We treated a pair of siblings with FH. The cardiovascular manifestations in the proband were more severe than those in his elder sister, although they had almost similar LDL-C levels, ages, and lifestyles. Herein, we report the cases of this family to explore the possible causes of clinical phenotypic differences within the same genetic background.CASE PRESENTATION:We treated a 27-year-old male patient and his 30-year-old sister, both with FH. The coronary angiogram in the male patient revealed 80, 70, and 100% stenosis of the initial, distal right coronary artery branch, and left anterior descending branch, respectively, whereas his sister had almost no coronary stenosis. We treated them accordingly and performed family screening. We found that the LDL-C/particle discordance of the proband is much greater than that of his elder sister. In addition, the average size of LDL-C particle in the proband was smaller than that in his sister.CONCLUSIONS:Patients with FH have a much higher risk of premature atherosclerotic cardiovascular disease, but the clinical manifestations are heterogeneous. The smaller LDL particle size may be the underlying cause for different clinical outcomes in this pair of FH cases and be a potential novel indicator for predicting the prognosis of FH.
BMC cardiovascular disorders 2023
OBJECTIVE:This study focused on middle-aged and elderly adults (mean age ≥60 years) in England and aimed to evaluate the impact of sleep quality and change in sleep quality on the long-term risk of stroke.PATIENTS/METHODS:The current prospective study enrolled 6214 participants without stroke from wave 4 (2008-2009) of the English Longitudinal Study Aging (ELSA) dataset. From the ELSA questionnaires, sleep quality scores were calculated and used to evaluate the sleep quality of each participant. Cox proportional hazards regression models were used to assess the association between sleep status and stroke risk. Restricted cubic spline (RCS) was employed for the relationship between sleep quality score and the risk of stroke.RESULTS:During the 8-year follow-up, 130 (2.1%) cases of stroke were recorded. Participants with poor baseline sleep quality had a significantly higher long-term risk of stroke compared with those with good sleep quality (hazard ratio [HR] 2.37, 95% confidence intervals [CI] 1.44, 3.91). For the influence of change in sleep quality on stroke risk, worsened sleep quality was associated with a significant increase in the risk of stroke in the good (HR 2.08, 95% CI, 1.02, 4.26) and intermediate sleep quality groups (HR 2.15, 95% CI, 1.16, 3.98). Moreover, improved sleep quality decreased stroke risk among subjects with poor sleep quality (HR 0.31, 95% CI, 0.15, 0.61).CONCLUSIONS:Poor and worsened sleep quality is associated with an increased risk of stroke. Emphasis should be placed on improving sleep quality in middle-aged and elderly individuals.
Sleep medicine 2023
BACKGROUND:The triglyceride-glucose (TyG) index and the stress hyperglycaemia ratio (SHR) are both positively associated with cardiovascular (CV) risk in patients with coronary heart disease. However, the prognostic value of these two biomarkers has not been well elucidated in patients with chronic total occlusion (CTO). Therefore, this study aims to evaluate the association of the TyG index and the SHR with long-term prognosis in patients with CTO.METHODS:This prospective cohort study consecutively included 2740 angina patients with CTO from January 2017 to December 2018 at Fuwai Hospital. The outcomes are a composite of CV death and target vessel myocardial infarction (TVMI) and major CV cerebrovascular adverse events (MACCEs, including all-cause death, nonfatal MI, ischaemia-driven target vessel revascularization, and stroke). The association between biomarkers and prognosis was analysed by multivariable Cox proportional hazard models, and the predictive value was determined by a receiver-operating characteristic (ROC) curve.RESULTS:During the follow-up with a median time of 3 years, 179 (6.5%) cases of MACCEs and 47 (1.7%) cases of CV death or TVMI were recorded. Patients with a high TyG index (> 9.10) and a high SHR (> 0.87) showed a significantly increased risk of CV death/TVMI (TyG index: HR 4.23, 95% CI 1.58-11.37; SHR: HR 5.14, 95% CI 1.89-13.98) and MACCEs (TyG index: HR 2.47, 95% CI 1.54-3.97; SHR: HR 2.91, 95% CI 1.84-4.60) compared with those with a low Tyg index and a low SHR (TyG < 8.56, SHR < 0.76). The area under the curve (AUC) values were 0.623 (TyG index) and 0.589 (SHR) for CV death/TVMI and 0.659 (TyG index) and 0.624 (SHR) for MACCEs. Furthermore, patients with both a high TyG index and a high SHR showed the highest risk of clinical outcomes among patients with different levels of these two biomarkers, and the AUC for the TyG-SHR combination was larger than the TyG index alone in predicting MACCE risk.CONCLUSIONS:The study revealed that a high TyG index and a high SHR were significantly correlated with poor prognosis in patients with CTO and suggested that these two biomarkers are reliable in predicting long-term prognosis in CTO patients.
Cardiovascular diabetology 2023
BACKGROUND:The relationship between remnant cholesterol (RC) and atherosclerotic cardiovascular risk has been given increasing attention in recent years. However, its association with verbal learning and memory performance has not been reported.METHODS:Data were extracted from the National Health and Nutrition Examination Survey (NHANES) 2011-2014 database. Participants aged ≥60 years with available fasting lipid data were included. Verbal learning and memory performance were evaluated using the Consortium to Establish a Registry for Alzheimer's Disease Word List Memory Task (CERAD-WL) subtest. The CERAD total score was calculated as the mean of three immediate recalls and a delayed recall. RC was calculated as total cholesterol (TC) minus the sum of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Multivariate ordinal logistic regression was performed to evaluate the association between RC, as well as its derived marker, the TC/RC ratio, and age-stratified quartiles of the CERAD total score.RESULTS:A total of 1377 participants were analysed. On a continuous scale, per 1 mmol/L increase in RC and per 1 unit increase in the TC/RC ratio were associated with multivariable adjusted odds ratios (95% CI) of 0.74 (0.58-0.94) and 1.45 (1.13-1.87), respectively, for having a CERAD total score in a higher quartile. On a categorical scale, higher RC quartiles were associated with a CERAD total score in a lower quartile; in contrast, the higher TC/RC quartile was associated with a CERAD total score in a higher quartile (all P for trend < 0.05).CONCLUSIONS:The current study suggests that lower RC levels and a higher TC/RC ratio are associated with better verbal learning and memory function, which indicates that lowering RC levels could be beneficial for preventing cognitive impairment in elderly individuals. Further research is needed to validate the causal roles of RC and the TC/RC ratio in cognition.
Lipids in health and disease 2022
AIMS:Type 2 diabetes mellitus (T2DM) is an independent risk factor for cardiovascular disease. However, the association between T2DM and coronary artery disease (CAD) in patients with heterozygous familial hypercholesterolaemia (HeFH) has not been thoroughly evaluated. Our study aimed to assess the effect of T2DM on CAD severity and hard cardiovascular endpoints in a HeFH cohort.METHODS AND RESULTS:A total of 432 patients with HeFH with a molecular and/or clinical Dutch Lipid Clinic Network score ≥6 (definite and probable) were enrolled. Patients were divided into a T2DM group (n = 99) and a non-T2DM group (n = 333). The severity of coronary stenosis was assessed by the number of diseased vessels and Gensini, SYNTAX, and Jeopardy scores. Hard endpoints included a composite of non-fatal myocardial infarction, non-fatal stroke, and cardiac death. Cox regression and Kaplan-Meier analyses were used to evaluate the effect of T2DM on hard cardiovascular endpoints. The prevalence of CAD was higher in patients with T2DM compared with those without (96.0% vs. 77.5%, respectively; P < 0.001). Patients with T2DM demonstrated a greater number of diseased vessels (P = 0.029) and more severe coronary lesions with high Gensini, SYNTAX, and Jeopardy score tertiles (P = 0.031, P = 0.001, and P = 0.024, respectively). During a median of 3.75 years up to a maximum of 9 years of follow-up, hard endpoints occurred in 13 of 99 patients with T2DM and 16 of 333 without T2DM at baseline. Compared with patients without T2DM, patients with T2DM were at a significantly greater risk of hard endpoints [multivariate adjusted hazard ratio (HR) 2.32, 95% confidence interval (CI) 1.02-4.84; P = 0.025]. Additionally, patients with T2DM and good glucose control (HbA1c < 7.0%) were at a lower risk of hard endpoints compared with those with poor glucose control (HbA1c ≥ 7.0%, HR 0.08, 95% CI 0.01-0.56; P = 0.011).CONCLUSION:We conclude that T2DM is an independent predictor of CAD severity when assessed by number of diseased vessels, Gensini, SYNTAX, Jeopardy scores, and hard cardiovascular endpoints, suggesting that T2DM could be further used for risk stratification of patients with HeFH.
European journal of preventive cardiology 2022
BACKGROUND:Currently, remnant cholesterol (RC), lipoprotein(a) [Lp(a)], and inflammation are considered the principal residual cardiovascular risk (RCVR) factors. This study sought to evaluate the combined impact of RC, Lp(a), and inflammation on prognosis of statin-treated patients with chronic coronary syndrome (CCS), which has not been investigated.METHODS:A total of 6839 patients with CCS were consecutively enrolled. Baseline RC, Lp(a), and high-sensitivity C-reactive protein (hsCRP) concentrations were measured and their medians were used for categorizations. All patients were followed for the major adverse cardiovascular events (MACEs), including cardiovascular death, non-fatal myocardial infarction, and stroke. The individual and combined effects of RC, Lp(a), and hsCRP on MACEs were examined and stratification analysis according to low-density lipoprotein cholesterol (LDL-C) was performed.RESULTS:Over an average of 54.93 ± 18.59 months follow-up, 462 MACEs were recorded. Multivariate Cox analysis showed that elevated RC and Lp(a) levels were significantly associated with an increased risk of MACEs, while high hsCRP levels were related to a slightly but non-significantly increased MACEs risk. Moreover, when participants were subgrouped according to RC, Lp(a), and hsCRP levels together, only High RC-High Lp(a)-High hsCRP group had significantly higher risk of MACEs [hazard ratio (HR) 1.99, 95% confidence interval (CI) 1.15-3.47] compared with the reference group (Low RC-Low Lp(a)-Low hsCRP), especially in patients with LDL-C < 2.6 mmol/L.CONCLUSIONS:The combination of elevated levels of RC, Lp(a), and hsCRP potentiated the adverse effect on MACEs among statin-treated patients with CCS, suggesting that multiple RCVR factors assessment may be a better strategy to improve stratification in very-high risk population.
Journal of translational medicine 2022
Objective: We evaluated the safety and efficacy of lipoprotein apheresis (LA) in patients with familial hypercholesterolemia (FH) who can't reach low-density lipoprotein cholesterol(LDL-C) target goals with the maximal tolerated dose of lipid-lowering agents. Methods: This was a retrospective cross-sectional study. Between February 2015 and November 2019, patients with FH who were admitted in Fuwai hospital and treated with LA were consecutively enrolled. Based on intensive lipid-lowering agents, these patients received LA by double filtration plasma pheresis (DFPP) method. The changes of lipid levels such as LDL-C and lipoprotein(a)[Lp(a)] were compared before and after LA treatment, and the changes of immunoglobulin (Ig) concentration and LA-related adverse effects were also discussed. Results: A total of 115 patients with FH were enrolled in this study, of which 8 cases were homozygous FH and 107 cases were heterozygous FH. The age was (43.9±12.2) years and there were 75 (65.2%) males, and 108 (93.8%) with coronary artery disease. For pre-and immediately after LA treatment, the LDL-C was (5.20±2.94) mmol/L vs. (1.83±1.08) mmol/L, Lp(a) concentration was 428.70(177.00, 829.50)mg/L vs. 148.90(75.90, 317.00) mg/L (P<0.001), with a decrease of 64.2% and 59.8% respectively. The levels of IgG and IgA measured 1 day after LA treatment were both in the normal range and IgM concentration was below the reference value, the reductions of which were 15.1%, 25.0% and 58.7% respectively (P<0.001). Six patients had mild symptoms of nausea, hypotension dyspnea and palpitation, the symptoms were relieved by symptomatic treatment. Conclusion: For patients with FH who do not achieve LDL-C target goal with the maximal tolerated lipid-lowering agents, especially those with elevated Lp(a) levels, LA, which can significantly further reduce LDL-C and Lp(a) levels, is an effective and safe option.
Zhonghua xin xue guan bing za zhi 2022
OBJECTIVE:Previous studies have demonstrated that small dense LDL-cholesterol (sdLDL-C) is related to the pathogenesis of coronary artery disease (CAD). However, its prognostic role in hypertensive patients with CAD has been undetermined. The aim of the study was to investigate the association between sdLDL-C with disease severity, hypertensive status and clinical outcome in patients with CAD.METHODS:A total of 4594 patients with angiography-proven CAD were consecutively enrolled and categorized into subgroups according to blood pressure status. Serum sdLDL-C levels were measured by direct quantitative measurement using automated chemistry analyzers. The severity of coronary artery lesions were determined by Gensini score, Syntax score and the number of lesion vessels. The associations of sdLDL-C with disease severity, hypertensive status and cardiovascular events (CVEs) were evaluated.RESULTS:Patients with hypertension had higher sdLDL-C levels than ones without (P = 0.010). In hypertensive patients, sdLDL-C was positively associated with the severity of CAD (P < 0.05). In addition, hypertensive patients with poorly controlled hypertension had higher sdLDL-C levels than those with well controlled (P < 0.05). Moreover, 149 CVEs occurred in patients with poorly controlled hypertension and Cox regression analysis indicated that elevated sdLDL-C levels were independently associated with CVEs in hypertensive patients with poorly controlled hypertension (adjusted hazard ratio: 1.673, 95% confidence interval: 1.105-2.535, P = 0.015).CONCLUSION:The current data, for the first time, showed that serum sdLDL-C levels were correlated with hypertension control, disease severity and worse outcomes in hypertensive patients with CAD, suggesting that paying more attention on sdLDL-C in these patients were warranted.
Journal of hypertension 2021
BACKGROUND:Non-fasting blood samples are routinely used to assess plasma lipid profiles except in patients with severe hypertriglyceridemia according to the previous consensus. However, the impact of statin use on non-fasting plasma lipid measurements has not been thoroughly evaluated.METHODS:In this cross-sectional study, 686 patients with normal triglyceride (TG) levels, who were hospitalized due to chest pain, were enrolled. Fasting (8-12 h) and non-fasting (2-4 h after breakfast) lipid profiles were measured on the second day of admission. Patients were divided into the non-statin (n=499) group and statin treatment (n=187) group. Differences in fasting and non-fasting lipid profiles between the statin and non-statin groups were compared.RESULTS:The mean age of participants was 57±13 years, and 54.4% were male. A linear correlation was observed between fasting and non-fasting lipid profiles. Although a postprandial impact on lipid parameters was observed, the general pattern of differences between fasting and non-fasting lipids was similar in both groups. Additionally, the diff(%) [(non-fasting-fasting)/fasting ×100%] of lipid panels did not vary by statin treatment. Moreover, no effects of statin types or duration of use on non-fasting lipid profiles were identified.CONCLUSIONS:The current study found fasting and non-fasting lipid panels were similar in individuals with or without statin treatment. Non-fasting lipid panels were not significantly affected by statin types or duration of use, suggesting that non-fasting lipid measurement is an acceptable test for patients receiving statin treatment.
Annals of translational medicine 2021
