BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a prevalent comorbidity among patients with end-stage kidney disease. Although sodium-glucose cotransporter 2 inhibitors are validated in treating heart failure and ameliorating left ventricular hypertrophy among non-dialysis patients, the effects on dialysis patients are unknown. We previously investigated the pharmacokinetics of henagliflozin in patients undergoing haemodialysis (HD) or peritoneal dialysis (PD) and clarified its safety.
METHODS: This multicentre, randomised, double-blind, placebo-controlled trial is being conducted at three hospitals in Shanghai, China. A target of 108 HD or PD patients with HFpEF are randomly allocated to treatment group (henagliflozin 5 mg/day in addition to standard therapy) or control group (placebo with standard therapy) at a ratio of 1:1. All subjects will be followed up for 24 weeks. The primary outcome is change in echocardiography-measured left ventricular mass index. The secondary interests include changes in left atrial volume index, E/e\', e\' and N-terminal pro-B-type natriuretic peptide (NT-proBNP). Intergroup comparisons of change in echocardiography-related outcomes from baseline to 24 weeks are based on a linear regression model adjusted for baseline values (analysis of covariance), and repeated measure analysis of variance with Bonferroni adjustment is employed for comparison of change in NT-proBNP. Subgroup analyses of the primary and secondary outcomes are conducted to determine whether the effect of henagliflozin varies according to dialysis modality. The χ2 method is used to compare the occurrence of adverse events and severe adverse events.
BACKGROUND: This trial has been approved by the Ethics Committee of Renji Hospital, School of Medicine, Shanghai Jiao Tong University (LY2023-127-B). All participants provide written informed consent before screening. The results of the trial will be disclosed completely in international peer-reviewed journals. Both positive and negative results will be reported.
BACKGROUND: ChiCTR2300073169.

BACKGROUND: Left ventricular hypertrophy (LVH) is a critical factor in heart failure and cardiovascular event-related mortality. While the prevalence of LVH in diabetic patients is well-documented, its occurrence and risk factors in non-diabetic populations remain largely unexplored. This study addresses this issue by investigating the independent risk factors of LVH in non-diabetic individuals.
METHODS: This cross-sectional study, conducted meticulously, utilized data from a robust and comprehensive source, DATADRYAD, in the Sierra Leone database, collected between October 2019 and October 2021, including LVH and various variables. All variables were described and screened using univariate analysis, Spearman correlation, and principal component analysis (PCA). The lipid profile, including total cholesterols (TC), triglycerides (TG), high-density lipoprotein (HDL-C), non-high-density lipoprotein (Non-HDL-C), and low-density lipoprotein cholesterol (LDL-C), TC/HDL-C ratio, TG/HDL-C ratio, Non-HDL-C /HDL-C ratio and LDL-C/HDL-C ratio, which quartiles were treated as categorical variables, with the lowest quartile serving as the reference category. Three adjusted models were constructed to mitigate the influence of other variables. To ensure the robustness of the model, receiver operating characteristic (ROC) curves were used to calculate the cutoff values by analyzing the ROC curves. A sensitivity analysis was performed to validate the findings further.
RESULTS: The dataset encompasses information from 2092 individuals. After adjusting for potential factors that could influence the results, we found that TC (OR = 2.773, 95%CI: 1.805-4.26), Non-HDL-C (OR = 2.74, 95%CI: 1.7723-4.236), TC/HDL-C ratio (OR = 2.237, 95%CI: 1.445-3.463), Non-HDL-C/HDL-C ratio (OR = 2.357, 95%CI: 1.548-3.588), TG/HDL-C ratio (OR = 1.513, 95%CI: 1.02-2.245) acts as independent risk factors of LVH. ROC curve analysis revealed the predictive ability of blood lipids for LVH, with Non-HDL-C exhibiting area under the curve (AUC = 0.6109), followed by TC (AUC = 0.6084).
CONCLUSIONS: TC, non-HDL-C, TC/HDL-C ratio, Non-HDL-C/HDL-C ratio, and TG/HDL-C ratio were independent risk factors of LVH in non-diabetic people. Non-HDL-C and TC were found to be essential indicators for predicting the prevalence of LVH.

BACKGROUND: Beta 2-microglobulin (β2-MG) is a component of the class I major histocompatibility complex (MHCI) and has recently been reported to be involved in type 2 diabetes mellitus (T2DM) and cardiovascular disease. However, the association of β2-MG with left ventricular hypertrophy (LVH) in T2DM patients remains unknown. This study aims to investigate the correlation between serum β2-MG and LVH in T2DM patients.
METHODS: The retrospective analysis included 4602 eligible T2DM patients, divided into LVH and non-LVH groups based on echocardiography results. Serum β2-MG levels were measured, and participants were categorized into four groups (Q1-Q4) by their serum β2-MG quartile. The relationship of serum β2-MG level with LVH was evaluated using logistic regression, restricted cubic spline (RCS), subgroup analysis, and machine learning.
RESULTS: The prevalence of LVH in T2DM patients was 31.12%. Each standard deviation increase in serum β2-MG level corresponded to a 1.17-fold increase in the prevalence of LVH [OR = 1.17, (95% CI: 1.05-1.31); p = 0.006]. When considering β2-MG as a categorical variable (quartile), Q3 [OR = 1.36, (95% CI: 1.09-1.69); p = 0.007] and Q4 [OR = 1.77, (95% CI: 1.36-2.31); p < 0.001] had a significantly higher prevalence of LVH than Q1. RCS analysis found a nonlinear association between β2-MG and LVH prevalence (p for nonlinearity <0.05). Additionally, machine learning results confirmed the importance of β2-MG for LVH in T2DM patients.
CONCLUSIONS: Elevated serum β2-MG levels were likely to be associated with an increased prevalence of LVH in T2DM patients, suggesting its potential role in LVH development.

OBJECTIVE: Vitamin D deficiency is a common cause of secondary hyperparathyroidism, particularly in elderly people. The aim of this study was to evaluate the associations of serum vitamin D and parathormone (PTH) concentrations with blood pressure values and hypertension-mediated target organ damage (HMOD), including left ventricular (LV) hypertrophy and carotid plaque (CP).
RESULTS: We enrolled consecutive patients admitted to the Hypertension Center of Federico II University Hospital in Naples, Italy. All patients underwent carotid doppler ultrasound and echocardiography, measurement of vitamin D and PTH levels and main clinical and laboratory parameters. A total of 126 patients (mean age 54 years, 68% males) were enrolled. Pearson\'s correlation analysis indicated that PTH levels directly correlated with age, diabetes, dyslipidemia, hypertension, fasting glucose, and LV mass, and inversely with glomerular filtration rate, LDL cholesterol, and vitamin D. Vitamin D levels correlated inversely with PTH, diabetes and CP. Multivariate regression models indicated that an increased LV mass was associated with the presence of obesity (β = 0.342; P = 0.001). Maximal intima-media thickness was significantly associated with older age (β = 0.303; P = 0.033). Combined presence of low vitamin D/high PTH levels were associated with more than 4-fold increased risk of having CP in both univariate (OR = 4.77, p = 0.0001) and multivariate regression analysis (OR = 4.52, p = 0.014).
CONCLUSIONS: In a population at high cardiovascular risk, vitamin D and PTH levels were not directly associated with blood pressure values and HMOD. Secondary hyperparathyroidism due to vitamin D deficiency is associated with carotid atherosclerosis independently of other common cardiovascular risk factors.

BACKGROUND: The association of malignant left ventricular hypertrophy (LVH), a specific subphenotype of LVH characterized by elevated levels of high-sensitivity cardiac troponin (hs-cTnT) or N-terminal pro-B-type natriuretic peptide (NT-proBNP), with cognitive decline remains understudied.
METHODS: This post-hoc analysis included a total of 8,027 (67.9 ± 9.3 years) SPRINT MIND trial participants who had with at least 1 follow-up cognitive assessment. Participants were classified into 6 groups on the basis of LVH status on electrocardiogram (ECG), and elevations in levels of hs-cTnT ≥14 ng/L or NT-proBNP ≥125 pg/mL at baseline visit. Multivariate Cox proportional hazard models were used to examine the association of LVH/biomarker groups with incident probable dementia, mild cognitive impairment (MCI) and a composite of MCI/probable dementia.
RESULTS: Over a median follow-up period of 5 years, there were 306, 597, and 818 incidents of MCI, probable dementia and a composite of MCI/probable dementia, respectively. Compared with participants without LVH and normal biomarker levels, those with concomitant LVH and elevated levels of both biomarkers were associated with a higher risk of probable dementia (HR, 2.50; 95% CI (1.26-4.95), MCI (HR, 1.78; 95% CI (0.99-3.23) and the composite of MCI/ probable dementia (HR, 1.89; 95% CI, 1.16-3.10).
CONCLUSIONS: Among SPRINT participants, malignant LVH is associated with incident probable dementia and mild cognitive impairment. These findings underscore the potential utility of measuring hs-cTnT and NT-proBNP levels when LVH is detected on ECG, aiding in the differentiation of individuals with a favorable risk for cognitive impairment from those with a higher risk.

Left ventricular hypertrophy (LVH) is often used as an indicator to assess hypertension-mediated organ damage (HMOD), alongside hypertensive retinopathy (HR) and nephropathy. Assessment of HMOD is crucial when making decisions about treatment optimization. Despite longstanding debate over its reliability to detect LVH, it is common practice to perform an electrocardiogram (ECG) instead of directly assessing left ventricular mass with echocardiography. In this study, the presence of LVH was evaluated using both ECG and echocardiography among consecutive patients suspected of therapy-resistant hypertension or secondary hypertension in the outpatient clinic of the Department of Internal Medicine at the Diakonessen Hospital, Utrecht, the Netherlands, between July 15, 2017, and July 31, 2020. The primary endpoints were the specificity and sensitivity of ECG as a diagnostic tool for LVH, with echocardiography serving as the reference method. Among the 329 participants, we identified 70 individuals (21.3%) with true LVH based on echocardiography. The ECG displayed a sensitivity of 47.9% and a specificity of 75.3%. Moreover, the area under the receiver operating characteristics curve was 0.604. In conclusion, ECG demonstrates limited value in identifying LVH. Considering the importance of accurately assessing HMOD for treatment optimization of hypertension, the role of ECG as a diagnostic tool for LVH is, therefore, questionable. Instead, we recommend employing standard echocardiography as a more reliable diagnostic.

BACKGROUND: The atherogenic index of plasma (AIP) is a simple and reliable marker of insulin resistance and is closely associated with various cardiovascular diseases (CVDs). However, the relationships between AIP and left ventricular (LV) geometric indicators have not been adequately assessed. This study was carried out to investigate the association between AIP and LV geometric abnormalities in obstructive sleep apnea (OSA) patients.
METHODS: This retrospective cross-sectional study included a total of 618 OSA patients (57.3 ± 12.4 years, 73.1% males, BMI 28.1 ± 4.2 kg/m2) who underwent echocardiography. Patients with OSA were diagnosed with clinical symptoms and an apnea-hypopnea index ≥ 5.0. LV hypertrophy (LVH) was defined as left ventricular mass index (LVMIh2.7) ≥ 50.0 g/m2.7 for men and 47.0 g/m2.7 for women. AIP was calculated as log10 (TG/HDL-C).
RESULTS: Compared with the non-LVH group, AIP was significantly higher in the LVH group (0.19 ± 0.29 vs 0.24 ± 0.28, P = 0.024) and the concentric LVH group (0.18 ± 0.29, 0.19 ± 0.30, 0.20 ± 0.26 and 0.29 ± 0.29 in the control, concentric remodeling, eccentric hypertrophy and concentric hypertrophy groups, respectively, P = 0.021). Meanwhile, in the group of patients with the highest AIP tertile, the levels of LVMIh2.7 (42.8 ± 10.5, 43.2 ± 9.3 and 46.1 ± 12.1 in the T1, T2 and T3 groups, respectively, P = 0.003), and the prevalence of LVH (25.2%, 24.0% and 34.6% in the T1, T2 and T3 groups, respectively, P = 0.032) and concentric LVH (10.7%, 9.8% and 20.2% in the T1, T2 and T3 groups, respectively, P = 0.053) were higher compared with those in the other groups. Positive correlations between AIP and LV geometric indicators including the LVMIh2.7, LVMIBSA, LV mass (LVM), diastolic left ventricular inner diameter (LVIDd), diastolic left ventricular posterior wall thickness (PWTd) and diastolic interventricular septal thickness (IVSTd), were revealed according to correlation analysis (P < 0.05). Furthermore, AIP was independently associated with LVMIh2.7 according to multivariate linear regression model (β = 0.125, P = 0.001). Notably, AIP remained independently associated with an elevated risk of LVH [odds ratio (OR) = 1.317 per 1 standard deviation (SD) increment, 95% confidence interval (CI): 1.058 - 1.639, P = 0.014) and concentric LVH (OR = 1.545 per 1 SD increment, 95% CI: 1.173 - 2.035, P = 0.002) after fully adjusting for all confounding risk factors by multivariate logistic regression analyses.
CONCLUSIONS: AIP was independently associated with an increased risk of LVH and concentric LVH in OSA patients. Therefore, AIP, as a practical and cost-effective test, might be useful in monitoring hypertrophic remodeling of the heart and improving CVDs risk stratification in clinical management of OSA.

BACKGROUND: The aim of this study was to evaluate the association between obesity and risk of incident left ventricular hypertrophy (LVH) in community-dwelling populations with hypertension and investigate whether this association would be attenuated by a lower achieved systolic blood pressure (SBP).
RESULTS: We used the EMINCA (Echocardiographic Measurements in Normal Chinese Adults) criteria, which were derived from healthy Chinese populations to define LVH. A total of 2069 participants with hypertension and without LVH (obesity 20.4%) were included. The association between obesity and risk of incident LVH was evaluated using Cox proportional hazard models and stratified by achieved follow-up SBP levels (≥140, 130-139, and <130 mm Hg). These analyses were also assessed using the American Society of Echocardiography/European Association of Cardiovascular Imaging criteria, which were derived from European populations to define LVH. After a median follow-up of 2.90 years, the rates of incident LVH in the normal-weight, overweight, and obese groups were 13.5%, 20.3%, and 27.8%, respectively (P<0.001). In reference to normal weight, obesity was associated with increased risk of incident LVH (adjusted hazard ratio [aHR], 2.51 [95% CI, 1.91-3.29]), which was attenuated when achieved SBP was <130 mm Hg (aHR, 1.78 [95% CI, 0.99-3.19]). This association remained significant when achieved SBP was ≥140 mm Hg (aHR, 3.45 [95% CI, 2.13-5.58]) or at 130 to 139 mm Hg (aHR, 2.32 [95% CI, 1.23-4.36]). Differences in these findings were noted when LVH was defined by the American Society of Echocardiography/European Association of Cardiovascular Imaging criteria.
CONCLUSIONS: Obesity was associated with incident LVH and an SBP target <130 mm Hg might be needed to attenuate this risk in patients with hypertension and obesity.

OBJECTIVE: To investigate metabolic risk factors (RFs) that accumulated over 20 years related to left ventricular mass index (LVMI), relative wall thickness (RWT) and LV remodelling patterns in participants with versus without early-onset type 2 diabetes (T2D) or prediabetes (pre-D).
METHODS: A total of 287 early-onset T2D/pre-D individuals versus 565 sociodemographic-matched euglycaemic individuals were selected from the Coronary Artery Risk Development in Young Adults (CARDIA) study, years 0-25. We used the area under the growth curve (AUC) derived from quadratic random-effects models of four or more repeated measures of RFs (fasting glucose [FG], insulin, triglycerides [TG], low-density lipoprotein cholesterol, high-density lipoprotein cholesterol (HDL-c), total cholesterol (total-c), blood pressure and body mass index) to estimate the cumulative burden, and their associations with LV outcomes.
RESULTS: One standard deviation greater AUC of log (TG) (per 0.48) and HDL-c (per 13.5 mg/dL) were associated with RWT (β 0.21 and -0.2) in the early-onset T2D/pre-D group, but not in the euglycaemia group (β 0.01 and 0.05, P interactions .02 and .03). In both the early-onset T2D/pre-D and euglycaemia groups, greater AUCs of log (FG) (per 0.17) and log (insulin) (per 0.43) were associated with higher RWT (β ranges 0.12-0.24). Greater AUCs of systolic blood pressure (per 10 mmHg) and diastolic blood pressure (per 7.3 mmHg) were associated with higher RWT and LVMI, irrespective of glycaemic status (β ranges 0.17-0.28). Cumulative TG (odds ratio 3.4, 95% confidence interval: 1.8-6.3), HDL-c (0.23, 0.09-0.59), total-c (1.9, 1.1-3.1) and FG (2.2, 1.25-3.9) were statistically associated with concentric hypertrophy in the T2D/pre-D group only.
CONCLUSIONS: Sustained hyperglycaemia and hyperinsulinaemia are associated with RWT, and those individuals with early T2D/pre-D are potentially at greater risk because of their higher levels of glucose and insulin. Dyslipidaemia was associated with LV structural abnormalities in those individuals with early-onset T2D/pre-D.

UNASSIGNED: Sudden death accounts for approximately 10% of deaths among working-age adults and is associated with poor air quality. Objectives: To identify high-risk groups and potential modifiers and mediators of risk, we explored previously established associations between fine particulate matter (PM2.5) and sudden death stratified by potential risk factors.
UNASSIGNED: Sudden death victims in Wake County, NC, from 1 March 2013 to 28 February 2015 were identified by screening Emergency Medical Systems reports and adjudicated (n = 399). Daily PM2.5 concentrations for Wake County from the Air Quality Data Mart were linked to event and control periods. Potential modifiers included greenspace metrics, clinical conditions, left ventricular hypertrophy (LVH), and neutrophil-to-lymphocyte ratio (NLR). Using a case-crossover design, conditional logistic regression estimated the OR (95%CI) for sudden death for a 5 μg/m3 increase in PM2.5 with a 1-day lag, adjusted for temperature and humidity, across risk factor strata.
UNASSIGNED: Individuals having LVH or an NLR above 2.5 had PM2.5 associations of greater magnitude than those without [with LVH OR: 1.90 (1.04, 3.50); NLR > 2.5: 1.25 (0.89, 1.76)]. PM2.5 was generally less impactful for individuals living in areas with higher levels of greenspace.
UNASSIGNED: LVH and inflammation may be the final step in the causal pathway whereby poor air quality and traditional risk factors trigger arrhythmia or myocardial ischemia and sudden death. The combination of statistical evidence with clinical knowledge can inform medical providers of underlying risks for their patients generally, while our findings here may help guide interventions to mitigate the incidence of sudden death.