Survey on arterial hypertension management: a report from the ESC Council for Cardiology Practice and the ESC Council on Hypertension

Independent relationship between sleep apnea-specific hypoxic burden and glucolipid metabolism disorder: a cross-sectional study

OBJECTIVES

Obstructive sleep apnea (OSA) is associated with abnormal glucose and lipid metabolism. However, whether there is an independent association between Sleep Apnea-Specific Hypoxic Burden (SASHB) and glycolipid metabolism disorders in patients with OSA is unknown.

METHODS

We enrolled 2,173 participants with suspected OSA from January 2019 to July 2023 in this study. Polysomnographic variables, biochemical indicators, and physical measurements were collected from each participant. Multiple linear regression analyses were used to evaluate independent associations between SASHB, AHI, CT90 and glucose as well as lipid profile. Furthermore, logistic regressions were used to determine the odds ratios (ORs) for abnormal glucose and lipid metabolism across various SASHB, AHI, CT90 quartiles.

RESULTS

The SASHB was independently associated with fasting blood glucose (FBG) (β = 0.058, P = 0.016), fasting insulin (FIN) (β = 0.073, P < 0.001), homeostasis model assessment of insulin resistance (HOMA-IR) (β = 0.058, P = 0.011), total cholesterol (TC) (β = 0.100, P < 0.001), total triglycerides (TG) (β = 0.063, P = 0.011), low-density lipoprotein cholesterol (LDL-C) (β = 0.075, P = 0.003), apolipoprotein A-I (apoA-I) (β = 0.051, P = 0.049), apolipoprotein B (apoB) (β = 0.136, P < 0.001), apolipoprotein E (apoE) (β = 0.088, P < 0.001) after adjustments for confounding factors. Furthermore, the ORs for hyperinsulinemia across the higher SASHB quartiles were 1.527, 1.545, and 2.024 respectively, compared with the lowest quartile (P < 0.001 for a linear trend); the ORs for hyper-total cholesterolemia across the higher SASHB quartiles were 1.762, 1.998, and 2.708, compared with the lowest quartile (P < 0.001 for a linear trend) and the ORs for hyper-LDL cholesterolemia across the higher SASHB quartiles were 1.663, 1.695, and 2.316, compared with the lowest quartile (P < 0.001 for a linear trend). Notably, the ORs for hyper-triglyceridemia{1.471, 1.773, 2.099} and abnormal HOMA-IR{1.510, 1.492, 1.937} maintained a consistent trend across the SASHB quartiles.

CONCLUSIONS

We found SASHB was independently associated with hyperinsulinemia, abnormal HOMA-IR, hyper-total cholesterolemia, hyper-triglyceridemia and hyper-LDL cholesterolemia in Chinese Han population. Further prospective studies are needed to confirm that SASHB can be used as a predictor of abnormal glycolipid metabolism disorders in patients with OSA.

TRIAL REGISTRATION

ChiCTR1900025714 { http://www.chictr.org.cn/ }; Prospectively registered on 6 September 2019; China.

Pretreatment body mass index affects achievement of target blood pressure with sodium-glucose cotransporter 2 inhibitors in patients with type 2 diabetes mellitus and chronic kidney disease

Sodium-glucose cotransporter 2 inhibitor (SGLT2-I) shows excellent antihypertensive effects in addition to its hypoglycemic effects. However, whether body mass index (BMI) affects the antihypertensive effect of SGLT2-I remains unknown. We investigated the impact of baseline BMI on the achievement of target blood pressure (BP) with SGLT2-I treatment in Japanese patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD). We retrospectively evaluated 447 Japanese patients with T2DM and CKD treated with SGLT2-I for at least 1 year. The primary outcome was achieving the target BP (<130/80 mmHg) after SGLT2-I treatment. Patients were divided into two groups according to a baseline BMI of 29.1 determined by receiver operating characteristic analysis and analyzed in a cohort model with propensity score matching. In each group, 130 patients were compared by propensity score matching. The target BP achievement rate was significantly higher in the BMI < 29.1 group than in the BMI ≥ 29.1 group (34% and 21%, respectively, p = 0.03). The odds ratio for achieving the target BP in the BMI ≥ 29.1 group was 0.50 (95% confidence interval, 0.28-0.90, p = 0.02). The BMI < 29.1 group had significantly lower systolic and diastolic BPs after SGLT2-I treatment than the BMI ≥ 29.1 group. Only the BMI < 29.1 group was showed a significant decrease in the logarithmic albumin-to-creatinine ratio from baseline after SGLT2-I treatment. In patients with T2DM and CKD, baseline BMI was associated with the antihypertensive effects of SGLT2-I. Patients in the lower baseline BMI group were more likely to achieve the target BP after SGLT2-I treatment. Pretreatment BMI affects the antihypertensice effect of SGLT2 inhibirors in patients with T2DM and CKD.