Effect of unicompartmental knee arthroplasty combined with arthroscopic debridement on knee osteoarthritis and analysis of risk factors of deep venous thrombosis.

OBJECTIVE: To analyze the clinical effect of unicompartmental knee arthroplasty combined with arthroscopic debridement on knee osteoarthritis and the risk factors leading to deep venous thrombosis (DVT). METHODS: Data of 110 patients with knee osteoarthritis admitted to The People's Hospital of Wenjiang Chengdu for surgical treatment from February 2019 to June 2021 were retrospectively analyzed. According to the surgical treatment methods, 58 patients treated with unicompartmental knee arthroplasty were included in the control group. The remaining 52 patients with combined treatment of unicompartmental knee arthroplasty and arthroscopic knee debridement were included in the observation group. The therapeutic effect, knee joint function score, Visual Analogue Scale (VAS) score, time required for knee flexion of 90°, length of hospital stay, and incidence of postoperative DVT were compared between the two groups 1 month after the operation. Risk factors leading to the development of DVT were analyzed. RESULTS: One month after the operation, the overall response rate, knee joint function score, and VAS score in the observation group were significantly better than those in the control group. The time required for knee flexion of 90° and length of hospital stay were shorter and the incidence of DVT was lower in the observation group than those in the control group. According to the occurrence of DVT, patients were divided into a DVT group and a non-DVT group. The univariate analysis revealed that age, body mass index, history of diabetes, coagulation parameters, and surgical methods were related to the occurrence of DVT. The logistics regression analysis revealed that age, body mass index, coagulation parameters, and surgical methods were independent risk factors affecting the occurrence of postoperative DVT. CONCLUSION: The combined treatment of unicompartmental knee arthroplasty and arthroscopic debridement can significantly improve knee joint function and bone metabolism and reduce the incidence of postoperative DVT of patients with knee osteoarthritis, achieving a more satisfactory therapeutic effect.

Multi-objective predictive control based on the cutting tobacco outlet moisture priority.

In this paper, we propose a new priority multi-objective optimization strategy of system output variables in cutting tobacco process. The proposed strategy focuses on the cutting tobacco moisture-controlled output variables optimization in feasible regions with two levels according to the priority. This study aims to provide a novel technical support for the chemical industry contained drying process. In order to alleviate the lack of degree of freedom of the system, strict set-point control is given, meanwhile, other output variables adopt zone control. Firstly, the system control output variables are optimized in ascending order of priority. Secondly, the specific lower-level target constraints are first relaxed. Finally, the relaxation of other high-priority target constraints is stopped when the optimization is feasible. Thus, the system control output variables move along the optimal target trajectory. From the perspective of practical application of engineering, under the condition of disturbance existing in the cutting tobacco drying process, the simulation shows that the proposed approach has good robustness when there is disturbance, and the previous method cannot meet the control requirement. The proposed strategy meanwhile has better tracking effect through single and multiple output variables simulation, which compared with traditional predictive control in real cutting tobacco drying process.

K-Space Data Reconstruction Algorithm-Based MRI Diagnosis and Influencing Factors of Knee Anterior Cruciate Ligament Injury.

This study was aimed at investigating the diagnostic value of MRI based on K-space data reconstruction algorithm for anterior cruciate ligament (ACL) injury of knee joint and the influencing factors of ligament injury. 96 patients with ACL injury of knee joint were selected, and they were randomly divided into two groups: group A (arthroscopy) and group B (MRI examination), and another 96 healthy volunteers in the same period were selected as the control group. The test results of each indicator were compared. The results showed that the signal-to-noise ratio (SNR) of SMASH algorithm was higher than that of sum of squares (SOS) algorithm. In group A, there were 66 positive and 30 negative tests, and in group B, there were 56 positive and 40 negative tests (P < 0.05). The intercondylar fossa width, the intercondylar fossa width index, and the ratio of tibial intercondylar eminence width to intercondylar fossa width in group B were lower than those in the control group (P < 0.05). Compared with the traditional SOS algorithm, SMASH algorithm can improve the image quality, reduce the impact of damage data on the final synthesis image, and improve the image SNR. In clinical work, the ratio of the width of tibial intercondylar eminence to the width of femoral intercondylar fossa can be measured by imaging data to evaluate the matching between tibial intercondylar eminence and femoral intercondylar fossa, so as to evaluate the risk of ACL rupture.

Value of combination of 25-(OH)-D3, IL-6, and cyclic peptide containing citrulline antibodies in different stages of rheumatoid arthritis.

OBJECTIVE: To determine the value of a combination of 25-hydroxyvitamin D3 (25-(OH)-D3), interleukin-6 (IL-6), and cyclic peptide containing citrulline (CCP) antibodies in the acute stage and remission stage of patients with rheumatoid arthritis (RA). METHODS: A retrospective analysis was made on 80 RA patients who received treatment in Wenjiang District People's Hospital of Chengdu from February 2017 to February 2020. According to their condition, they were identified as acute-stage patients (n=48) or remission-stage patients (n=32). In addition, 40 healthy individuals who received physical examination in our hospital during the same period were enrolled in a control group. Serum 25-(OH)-D3, IL-6, and CCP antibodies in all enrolled participants were quantified, and their levels were compared between RA patients at the acute stage and those at the remission stage before therapy, and also between patients with different efficacy after 3 months of therapy. The correlations of serum 25-(OH)-D3, IL-6, and CCP antibodies with disease activity score in 28 joints (DAS-28) were analyzed. A corresponding joint receiver operating characteristic (ROC) curve was drawn to analyze the diagnostic value of the combination of 25-(OH)-D3, IL-6, and CCP antibodies in the staging of RA patients, and logistic regression was used to establish an efficacy risk model. RESULTS: The highest serum 25-(OH)-D3 level was found in the control group, followed by the remission-stage patients and then acute-stage patients from high to low (all P<0.05), and the lowest levels of serum IL-6 and CCP antibodies were also found in the control group, followed by the remission-stage patients and then the acute-stage patients from low to high (all P<0.05). The Pearson's test revealed a negative correlation of 25-(OH)-D3 with DAS-28 and a positive correlation of IL-6 and CCP antibodies with DAS-28. According to ROC curve-based analysis, the area under the joint curve of 25-(OH)-D3, IL-6, and CCP antibodies was >0.9. After therapy, patients showed an increase in 25-(OH)-D3 and decreases in IL-6 and CCP antibodies (all P<0.05). The logistic model confirmed that the area under the ROC curve of RA affecting the efficacy on patients was >0.8. CONCLUSION: A combination of 25-(OH)-D3, IL-6, and CCP antibodies can be adopted as a diagnostic indicator in acute and remission stages of RA. A risk factor model of clinical efficacy in RA patients can help us effectively identify high-risk patients before therapy and take intervention measures early.