To determine quantitative differences between weight loss and changes in clinic blood pressure (BP) and ambulatory BP in patients with obesity or overweight, the authors performed a meta‐analysis. PubMed, Embase, and Scopus databases were searched up to June 2022. Studies that compared clinic or ambulatory BP with weight loss were included. A random effect model was applied to pool the differences between clinic BP and ambulatory BP. Thirty‐five studies, for a total of 3219 patients were included in this meta‐analysis. The clinic systolic blood pressure (SBP) and diastolic blood pressure (DBP) were significantly reduced by 5.79 mmHg (95% CI, 3.54–8.05) and 3.36 mmHg (95% CI, 1.93–4.75) after a mean body mass index (BMI) reduction of 2.27 kg/m2, and the SBP and DBP were significantly reduced by 6.65 mmHg (95% CI, 5.16–8.14) and 3.63 mmHg (95% CI, 2.03–5.24) after a mean BMI reduction of 4.12 kg/m2. The BP reductions were much larger in patients with a BMI decrease ≥3 kg/m2 than in patients with less BMI decrease, both for clinic SBP [8.54 mmHg (95% CI, 4.62–12.47)] versus [3.83 mmHg (95% CI, 1.22–6.45)] and clinic DBP [3.45 mmHg (95% CI, 1.59–5.30)] versus [3.15 mmHg (95% CI, 1.21–5.10)]. The significant reduction of the clinic and ambulatory BP followed the weight loss, and this phenomenon could be more notable after medical intervention and a larger weight loss.

Objective:To determine quantitative differences between weight loss and changes in clinic blood pressure (BP) in overweight patient, a systematic review and meta-analysis of randomised trials was performed.Design and method:A systematic literature search was conducted to identify relevant studies in the PubMed, Embase and Scopus databases up to April 2022. Only studies with English language were included. Studies were considered for inclusion if they met the following criteria: (1) included comparison clinical BP between weight loss; (2) the mean values and standard deviations (SD) of clinical BP and BMI were reported respectively; (3)all patients have a BMI ≧ 25 kg/m2. The certainty of evidence was used the GRADE approach. All statistical analyses were performed using Revman 5.Results:Twenty-four studies, for a total of 2614 patients were included in this meta-analysis. The clinic systolic blood pressure (SBP) and diastolic blood pressure (DBP) were significantly reduced by 7.04 mmHg (95% CI, 5.04–9.03) and 4.40 mmHg (95% CI, 3.17–5.62) after a mean body mass index (BMI) reduction of 2.42 Kg/m2. The BP reductions were much larger in patients with a BMI decrease ≧ 3 kg/m2 than in patient with less BMI decrease, both for SBP [10.32 mmHg (95% CI, 6.15–14.49)] vs. [5.79 mmHg (95% CI, 3.19–8.39)] and DBP [7.48 mmHg (95% CI, 4.50–10.47)] vs [3.93 mmHg (95% CI, 2.15–5.70)]. The BP reductions were also much larger in patients with a baseline BMI ≧ 30 kg/m2 than in patients with a lower BMI, both for SBP [8.90 mmHg (95% CI, 5.97–11.83) vs. 5.25 mmHg (95% CI, 2.19–8.31)] and DBP [6.02 mmHg (95% CI, 3.89–8.14) vs. 3.82 mmHg (95% CI, 1.78–5.86)]. Furthermore, the SBP and DBP reductions in patients with medical interventions (ie drugs and surgeries) were 9.22 mmHg (95% CI, 6.36–12.08) and 6.11 mmHg (95% CI, 3.29–8.92) respectively, which were larger than patients with lifestyle interventions both for SBP [4.69 mmHg (95% CI, 2.81–6.57)] and DBP [3.82 mmHg (95% CI, 2.22–5.43)].Conclusions:The significant reduction of clinic BP followed the weight loss, and this phenomenon could be more notable after medical intervention and a larger weight loss.

Objective: Triglyceride-glucose index (TyG) was initially proposed as a reliable surrogate indicator for insulin resistance, which was later demonstrated to be associated with hypertension and CVD. The new parameters, TyG-BMI, TyG-WC, TyG-WHR and TyG-WHtR, which combine TyG and anthropometric indicators, were also reported to be related to hypertension and CVD. The study was designed to explore the association of TyG and related parameters with hypertension and cardiovascular risk. Design and method: A total of 16834 participants were enrolled in this study. Binary logistic regression analysis was used to explore the association between each parameter and the risk of hypertension and CVD across quartiles of TyG and related parameters. The receiver operating characteristic curve (ROC) was used to compare the diagnostic ability of TyG and its related parameters to identify people with hypertension and high cardiovascular risk. Results: The mean age of participants was 56.9 years, and 5776 (36.4%) were male. Compared with the lowest quartile groups of TyG and related parameters, the corresponding risks of hypertension in the highest quartile groups were significantly increased after adjustment. TyG-WC showed the highest diagnostic efficacy for hypertension (AUC: 0.665, 95% CI: 0.656 - 0.673) followed by TyG-WHtR (AUC: 0.664, 95% CI: 0.656 - 0.672), TyG-BMI (AUC: 0.658, 95% CI: 0.650 - 0.666), TyG-WHR (AUC: 0.655, 95% CI: 0.647 - 0.663) and TyG (AUC: 0.614, 95% CI: 0.605 - 0.622). Similarly, compared with the lowest quartile groups of TyG and related parameters, the corresponding risks of high cardiovascular risk in the highest quartile groups were also significantly increased. TyG-WC exhibited the strongest association with cardiovascular risk (OR: 8.167, 95% CI: 6.559 - 10.170). Furthermore, TyG-WHR showed the highest efficacy in distinguishing participants with high cardiovascular risk (AUC: 0.718, 95% CI: 0.710 - 0.726) followed by TyG-WC (AUC: 0.704, 95% CI: 0.695 - 0.712), TyG-WHtR (AUC: 0.674, 95% CI: 0.665 - 0.683), TyG-BMI (AUC: 0.639, 95% CI: 0.630 - 0.648) and TyG (AUC: 0.638, 95% CI: 0.629 - 0.647). Conclusions: The new parameters that combine TyG and anthropometric indicators have close and independent associations with hypertension and cardiovascular risk. Among them, TyG-WHR shows the highest efficacy in distinguishing participants with high cardiovascular risk, which may be helpful for the primary prevention of CVD.