[Associations of blood pressure change with change in foods' intake among adults with mild to moderate hypertension].

Objective: To explore the association between the intake and changes in various types of food and the changes in blood pressure in patients with mild to moderate hypertension. Methods: Mild to moderate hypertension participants with complete baseline and outcome data were included from DECIDE-Diet study, a multicenter, randomized controlled trial. Dietary records and blood pressure measurements at both 7-day run-in (baseline) and 28-day intervention phases were collected for enrolled participants. Blood pressure change was defined as the difference between blood pressure at the end of trial and the baseline blood pressure. Baseline intake of food was the average daily intake during the run-in period, and the intake increment was defined as the difference between the average intake during the trial period and the average intake during the run-in period. After adjusting for age, sex, study center, intervention groups, baseline body mass index (kg/m2), antihypertension medication use, and baseline total calorie intake, a linear regression model was used to analyze the associations of the before-after-intervention change in blood pressure with baseline intake and intake increment of foods. Results: A total of 258 patients with mild to moderate hypertension were included, including 133 males, aged (56.5±9.9) years. (1) After adjusting for confounding factors, there was no significant association between baseline intake of food and baseline blood pressure (all P>0.05). The blood pressure change was negatively associated with baseline intakes of tubers, vegetables, and vegetable oils but positively with baseline intake of meats; and was negatively associated with intake increment of whole grains and fish (all P<0.05). (2) The multiple linear regression analysis showed that baseline intake of vegetables (ß=-0.021, P=0.004), vegetable oils (ß=-0.260, P=0.002), and increment in intake of fish (ß=-0.128, P=0.026) were all significantly associated with changes in systolic blood pressure; baseline intake of vegetables (ß=-0.017, P=0.002), vegetable oils (ß=-0.182, P=0.001), dairy products (ß=0.021, P=0.022), and increment in intake of fish (ß=-0.092, P=0.010) were all significantly associated with changes in diastolic blood pressure. Conclusion: Increasing the intake of whole grains, vegetables, vegetable oils, and fish and decreasing the intake of meat may be beneficial for blood pressure control in patients with mild to moderate hypertension.

[Application of bridging study design in preventive vaccine clinical trials].

Bridging study in vaccine clinical trials means a series of small-scale additional tests on the basis that the original safety and effectiveness of a vaccine have been confirmed in clinical trials, to prove that the characteristics of safety, immunogenicity and effectiveness of a vaccine are similar or consistent after component, population and immunization procedure change to other types which can extrapolate data from existing clinical trials. Compared with traditional vaccine clinical trials, bridging trials can promote the approval of vaccines to the market, accelerate the expansion of vaccine application, and promote the use of vaccines across regions and populations. In recent years, the application of bridge study design in vaccine clinical research has become more and more common. In order to better guide and promote the application of bridging trial design in the field of vaccine clinical research, we reviewed the design characteristics and application examples of bridging study design in vaccine clinical trials, and systematically elaborated the design ideas, key points and statistical evaluation methods of bridging study.

[Effect of peri-implant soft-tissue phenotype on peri-implant health].

Dental implant is a commonly used therapeutic option for reconstruction of edentulous space. Adequate peri-implant soft tissue is crucial for preventing biological and esthetic complications. Peri-implant soft-tissue phenotypes including supracrestal tissue height, mucosa thickness and keratinized mucosa width could reflect the quality and quantity of peri-implant soft tissue. Different soft-tissue phenotypes might impact the stability of implant restoration through altering the tissue remodeling or inflammatory response. This review will discuss the influence of peri-implant soft-tissue phenotypes on tissue remodeling and inflammatory response after implant placement.