Background. Allergic rhinitis (AR) is a highly heterogeneous disease, and allergen-specific immunotherapy (AIT) is an effective treatment. This study aims to evaluate the circulating mas-related G protein-coupled receptor-X2 (MRGPRX2) and matrix metalloproteinase-12 (MMP-12) levels in evaluating disease severity and predicting efficacy of SLIT in AR patients. Methods. We enrolled 110 moderate-severe persist AR patients (AR group) and 40 healthy controls (HC group). Circulating levels of MRGPRX2 and MMP-12 were measured, and their associations with disease severity were evaluated. All AR patients were assigned to receive sublingual immunotherapy (SLIT), and the efficacy was evaluated, and serum samples were collected at 1 year and 3 years after treatment. The correlations between serum MRGPRX2 and MMP-12 and clinical efficacy were assessed. Results. The serum concentrations of MRGPRX2 and MMP-12 were significantly higher in the AR group than the HC group, and the elevated MMP-12 levels were correlated with VAS and TNSS, and serum MRGPRX2 levels were correlated with VAS. Finally, 100 and 80 patients completed 1-year and 3-year follow-up and were classified into effective and ineffective groups. Serum MRGPRX2 and MMP-12 levels were lower in the effective group than the ineffective group. Although serum MRGPRX2 and MMP-12 levels did not significantly change after 1 year SLIT, serum MMP-12 levels were decreased 3 years post-SLIT than baseline and 1 year post-SLIT levels. Receiver operating characteristic (ROC) showed that serum MMP-12 was a potential biomarker for predicting the efficacy of SLIT. Conclusion. Serum MRGPRX2 and MMP-12 appeared to be promising biological indicators in reflecting disease severity in AR patients. Moreover, circulating MMP-12 might serve as a reliable predictor for clinical responsiveness of SLIT.

To explore whether preoperative processing can promote the recovery of gastrointestinal function after laparoscopic cholecystectomy (LC) surgery, in the study, an artificial intelligence-based algorithm was used to segment the CT images to assist doctors in decision making. The patients were divided into observation group (balanced anesthesia) and control group (general anesthesia) with SPSS. The observation group received balanced anesthesia half a day before the operation. The method of balanced anesthesia was to induce 0.2 mg/kg midazolam, 3 mg/kg propofol, 2 μg/kg remifentanil, 0.2 mg/kg vecuronium, 4∼5 mg/(kg·h) propofol, and 9∼11 μg/(kg·h) remifentanil continuous intravenous infusion to maintain anesthesia, and it was stopped once the patient defecated; the control group had general anesthesia in the afternoon after the operation, and it was stopped once the patient defecated. The time before the first exhaust and defecation after the surgery as well as the recovery time of bowel sound was recorded, and the degree of abdominal pain, abdominal distension, and gastrointestinal adverse reactions was evaluated at 22 hours, 46 hours, and 70 hours after the surgery. It was found that the accuracy of the artificial intelligence-based segmentation algorithm was 81%. The reconstruction accuracy of multidimensional liver could be observed at any angle, and the reconstruction accuracy was not lower than the resolution of original input CT. The calculation error was less than 9%, and the volume of whole liver, liver segment, preresection liver, and residual liver was less than 9%. The simulation accuracy of virtual liver surgery was not lower than the resolution of original input CT. The time before the first exhaust and defecation was shorter in the observation group versus the control group ( P  < 0.05). The recovery time of bowel sound in the observation group was shorter than that in the control group ( P  < 0.05). There was a significant difference in the scores of abdominal distension between the two groups at 22 h and 46 h after surgery ( P  < 0.05). It suggested that both the observation group and the control group could improve the symptoms of gastrointestinal adverse reactions after surgery. Nevertheless, balanced anesthesia can shorten the time before the first exhaust and defecation after surgery and promote the recovery of postoperative bowel sound. Furthermore, balanced anesthesia can alleviate abdominal distension, abdominal pain, and gastrointestinal adverse reactions, which should be promoted in clinic.

Objective. The aim of this work was to study the cerebral protective effect of craniotomy hematoma removal under propofol anesthesia based on the artificial intelligence algorithm analysis of the changes in imaging characteristics of chronic subdural hematoma (CSDH) patients. Methods. A total of 60 CSDH patients who were treated in hospital were recruited and were randomly rolled into an experimental group and a control group, with 30 people in each group. Patients in the experimental group were treated with propofol anesthesia + craniotomy hematoma removal, while those in the control group were treated with conventional anesthesia + craniotomy hematoma removal. Head CT examinations were performed on the next day, one week, one month, three months, and six months after the operation. A two-dimensional empirical mode decomposition (BEMD) algorithm was used for edge detection and denoising of brain CT images of CSDH patients. Then, the amount of hematoma was calculated, and the Markwalder grading was performed to evaluate the neurological function. The number of recurrence and reoperation cases within six months of follow-up was collected. Results. 1. The quality of CT images was remarkably improved after processing with artificial intelligence algorithms. 2. The amount of hematoma in the experimental group was remarkably lower than that in the control group at January, March, and June after surgery (12.89 ± 2.12 VS 20.32 ± 16.41; 7.55 ± 4.13 VS 15.88 ± 14.22; 3.39 ± 3.79 VS 6.55 ± 3.69, P < 0.05 ). 3. The experimental group was remarkably better than the control group in Markwalder grading three months and six months after the operation ( P < 0.05 ). Conclusion. Artificial intelligence algorithm had good effect on the brain CT image processing of CSDH patients, and craniotomy hematoma removal under propofol anesthesia had an ideal brain protection effect.