Identifying influencing factors of metabolic syndrome in patients with major depressive disorder: A real-world study with Bayesian network modeling.

BACKGROUND: The bidirectional relationships between metabolic syndrome (MetS) and major depressive disorder (MDD) were discovered, but the influencing factors of the comorbidity were barely investigated. We aimed to fully explore the factors and their associations with MetS in MDD patients. METHODS: The data were retrieved from the electronic medical records of a tertiary psychiatric hospital in Beijing from 2016 to 2021. The influencing factors were firstly explored by univariate analysis and multivariate logistic regressions. The propensity score matching was used to reduce the selection bias of participants. Then, the Bayesian networks (BNs) with hill-climbing algorithm and maximum likelihood estimation were preformed to explore the relationships between influencing factors with MetS in MDD patients. RESULTS: Totally, 4126 eligible subjects were included in the data analysis. The proportion rate of MetS was 32.6 % (95 % CI: 31.2 %-34.1 %). The multivariate logistic regression suggested that recurrent depression, uric acid, duration of depression, marriage, education, number of hospitalizations were significantly associated with MetS. In the BNs, number of hospitalizations and uric acid were directly connected with MetS. Recurrent depression and family history psychiatric diseases were indirectly connected with MetS. The conditional probability of MetS in MDD patients with family history of psychiatric diseases, recurrent depression and two or more times of hospitalizations was 37.6 %. CONCLUSION: Using the BNs, we found that number of hospitalizations, recurrent depression and family history of psychiatric diseases contributed to the probability of MetS, which could help to make health strategies for specific MDD patients.

[Clinical observation of warm moxibustion therapy to improve quadriceps weakness after total knee arthroplasty].

OBJECTIVE: To evaluate the clinical efficacy of warm moxibustion therapy in the recovery of quadriceps muscle strength in patients undergoing total knee arthroplasty (TKA) with analgesia of the femoral nerve block (FNB). METHODS: A total of 174 patients with KOA were randomized into a warm moxibustion group and a rehabilitation group, 87 cases in each group. In the warm moxibustion group, warm moxibustion combined with conventional quadriceps strength training were used. In the rehabilitation group, conventional quadriceps strength training was given. The warm moxibustion was applied at Liangqiu (ST 34) and Zusanli (ST 36), the treatment was given twice a day, 7 days for one course, with a total of 2 courses.The quadriceps muscle strength of the two groups was recorded and compared at 24 h before FNB, 24, 48, 72 and 96 h after surgery, and the resting and exercise VAS pain scores were also recorded at the same time point. And the first time for standing up and the first straight raising time in the two groups were compared, and the occurrence of adverse reactions in the two groups were observed. RESULTS: At 24, 48, 72 and 96 h after FNB, the quadriceps muscle strength in the warm moxibustion group was better than that in the rehabilitation group (P<0.05, P<0.01). At 72 h and 96 h after FNB, the resting and exercise VAS scores of the warm moxibustion group were lower than those of the rehabilitation group (both P<0.001). The average first straight leg raising time in the warm moxibustion group was postoperative (31.03±10.78) h, and the time in the rehabilitation group was postoperative (47.23±15.78) h. The difference was statistically significant (P<0.001). The average time of the first time for standing up in the warm moxibustion group was postoperative (25.76±7.00) h, and postoperative (33.12±11.18) h in the rehabilitation group. The difference was also statistically significant (P<0.001). No adverse reactions occurred in both groups. CONCLUSION: Warm moxibustion combined with conventional quadriceps strength training can improve the symptoms of quadriceps weakness in patients with femoral nerve block after total knee arthroplasty, and accelerate the recovery of joint function, which is superior to conventional quadriceps strength training.

Research on Straightness Error Compensation of Grating Ruling Machine.

Echelle grating is a kind of special diffraction grating. Working with high diffraction orders and big diffraction angle, which has the advantages of high resolution and full wave shining. It has been widely used in high-end spectrum instrument, which greatly promoted the development of aerospace, astronomy, medical, military, environment and other cutting-edge technology. However, professional scoring system needs to be customized, and the price is very expensive. The use of sophisticated ultra precision machining equipment to process in the ladder grating can greatly reduce the preparation cost of the mother plate of the ladder grating. Due to the bad straightness and high accumulative error of ultra precision single point diamond lathe, it can't satisfy the demand of preparation when preparing the echelle grating, casuing the bad diffraction wave front. In order to reduce the straightness error, this paper comes up with the error compensation for the single point diamond lathe. Firstly, we make the first compensation based on the accumulative error curve. When the compensation ratio is 0.75 to 0.85, the peak valley value (pv) of the diffraction wave front is about 400 nm, reaching its greatest effect of the first straightness compensation. Secondly, we make the straightness compensation according to the diffraction wave front curve of the blazed order. The pv of the diffraction wave front is about 83nm. The results show that the diffraction wave front is greatly improved which is beneficial to improve the quality of the grating, and has a guiding role in the actual grating characterization.