Objective:To explore the clinical features of Heidenhain variant Creutzfeldt-Jakob disease (HvCJD) to deepen understanding and recognition of this disease.Methods:Clinical data of 1 case of HvCJD admitted to Hainan General Hospital on August 4, 2022, were collected, whose clinical characteristics were reviewed and analyzed, and literature review was conducted.Results:The 59 years old male patient initially experienced symptoms of blurred vision, followed by a rapid decline in cognitive function. Mini-Mental State Examination score was 21/30 and Montreal Cognitive Assessment score was 11/30. Diffusion-weighted magnetic resonance imaging demonstrated the presence of mild ribbon-like hyperintensity within the bilateral frontal-parietal-occipital-insular cortex. T 2WI fluid attenuated inversion recovery imaging exhibited slight hyperintensity within the bilateral parietal cortex. The electroencephalography showed atypical triphasic waves. The examination of cerebrospinal fluid demonstrated 14-3-3 protein with a positive result. Two months after onset of illness, follow-up revealed new symptoms of myoclonus in the patient. Finally, the patient was not effectively treated and died about 2.5 months after onset. Thirty-six relevant literatures of HvCJD were reviewed. Most Heidenhain variant patients exhibited occipital cortical diffusion weighted imaging hyperintensity. Posterior cortical damage may affect primary and higher-level visual processing, leading to various visual disturbances. The early symptoms were mainly visual symptoms, such as visual reduction, blurred vision, visual field defect and color vision impairment. Conclusions:HvCJD patients only present with various visual disorders at the onset, followed by other neurological symptoms. The disease progresses rapidly, and patients often die in a short period of time. The disease is very rare and is often misdiagnosed. Currently, there is no feasible and effective treatment for HvCJD.

Objective:To evaluate the differences and aesthetic meaning of stable vitiligo treatment in the face and neck region using suction blister transplantation or noncultured autologous suspension of epidermal cells.Methods:Sixty-four stable vitiligo patients (25 males and 39 females with age ranges from 10 to 46 years, average 25 years) in the face and neck region were randomly divided into two groups (32 patients in each group): one group received suction blister transplantation, while other group received noncultured autologous suspension of epidermal cells. Patients′treatment effectiveness, pigmentation and piecing deformity were evaluated in postoperative 3 months and 6 months.Results:In the postoperative 3 months and 6 months, the effectiveness of suction blister transplantation group was 68.75% (22/32) and 90.63% (29/32), respectively, while the effectiveness of noncultured autologous suspension of epidermal cells group was 59.37% (19/32) and 87.50% (28/32), respectively, in which no significant differences were found between two groups ( P>0.05). No obvious pigmentation and piecing deformity were found in noncultured autologous suspension of epidermal cells group, which were much better than the suction blister transplantation group in postoperative 3 months and 6 months. Conclusions:Both suction blister transplantation and noncultured autologous suspension of epidermal cells could bring good treatment effectiveness for patients of stable vitiligo in the face and neck region. Compared with suction blister transplantation, noncultured autologous suspension of epidermal cells could offer better aesthetic appearance.

Rheumatoid arthritis(RA)is an autoimmune disease with the basic pathological manifestation of synovial inflammation.Symmetric poly-articular pain and swelling are the main symptoms in clinical practice,and even extra-articular manifestations and comorbidities such as interstitial fibrosis and coronary artery disease are triggered,which seriously affect the quality of life of patients.Traditional Chinese medicine(TCM)has achieved good clinical efficacy in the prevention and treatment of RA with the advantages of multi-pathway,multi-target,multi-component,and less toxic side effects,and plays an important role in the treatment of RA.Recently,many studies have demonstrated that Chinese medicine monomers and Chinese herbal compound can control inflammation,reduce angiogenesis,induce apoptosis of synovial fibroblasts,and inhibit their proliferation,invasion and migration by regulating the PI3K/Akt signaling pathway,so as to play a key role in the treatment of RA.For this reason,the article summarizes current knowledge regarding the PI3K/Akt signaling pathway and its role in RA,as well as summarizes the current research progress of TCM in the treatment of RA by regulating the PI3K/Akt signaling pathway.The aim of this review is to provide theoretical bases for the prevention and treatment of RA and the development of new drugs.

Objective:To investigate the application value of major anatomical structure recognition model of minimally invasive liver resection based on deep learning.Methods:The retrospective and descriptive study was conducted. The 31 surgical videos of laparoscopic left lateral sectionectomy performed in Zhujiang Hospital of Southern Medical University from January 2019 to April 2023 were collected. Video clips containing the surgical procedure of left lateral lobe liver pedicle and left hepatic vein were screened by 2 liver surgeons. After quality control, screening and frame extraction, the major anatomical structures on the images of these clips were annotated. After pre-processing, these images were transported to the DeepLab v3+neural network framework for model training. Observation indicators: (1) video annotation and classification; (2) results of arti-ficial intelligence anatomical recognition model testing. Measurement data with normal distribution were represented as Mean± SD, and count data were described as absolute numbers. Results:(1) Video annotation and classification. A total of 4 130 frames of images were annotated in the 31 surgical videos, including 2 083 frames of annotated images for the left lateral lobe liver pedicle, 1 578 frames of annotated images for the left hepatic vein and 469 frames of annotated images for both the left lateral lobe liver pedicle and left hepatic vein. (2) Results of artificial intelligence anatomical recognition model testing. In four application scenarios (clean scene, bloodstain scene, partially obstruction by instrument scene, and small exposed area scene), the model was able to successfully recognize the left lateral lobe liver pedicle and left hepatic vein, with a recognition speed for anatomical markers >13 frames/s. When performing anatomical recognition on images with only the left lateral lobe liver pedicle, the Dice coefficient, intersection over union, accuracy, sensitivity and specificity of the model were 0.710±0.110, 0.560±0.120, 0.980±0.010, 0.640±0.030, and 0.980±0.010, respectively. The above indicators of the model were 0.670±0.180, 0.530±0.200, 0.980±0.010, 0.600±0.040, and 0.990±0.010 when performing anatomical recognition on images with only the left hepatic vein, and 0.580±0.180, 0.430±0.190, 0.980±0.010, 0.580±0.020, and 0.990±0.010 when per-forming anatomical recognition on images with both the left lateral lobe liver pedicle and left hepatic vein.Conclusion:The major anatomical structure recognition model of minimally invasive liver resection based on deep learning can be applied in identifying liver pedicle and hepatic vein.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Chronic exertional compartment syndrome (CECS) of the lower extremities is a common clinical condition characterized by exercise-induced pain in the extremities, which is predominantly observed in people who take an active part in sports, such as athletes. It is mainly presented as post-exercise pain in the lower extremities, probably accompanied by numbness and limb weakness, etc., affecting the patients′ life and work. The symptoms of CECS in the lower limbs are usually present after physical activities of a certain intensity, making them difficult to be identified through routine outpatient physical examination, and likely to be misdiagnosed and underdiagnosed. Furthermore, the absence of universally accepted and unified treatment standards for CECS of the lower extremities complicates the decision-making process regarding the necessity of surgical intervention and choice of surgical approach in the clinical practice. For this purpose, recent developments in the diagnosis and treatment of CECS of the lower extremities were reviewed to provide reference for its standardized diagnosis and treatment.

Objective:To investigate the association between quantified CT (QCT)-measured body composition and metabolic syndrome (MS) components in obese populations before bariatric surgery.Methods:A cross-sectional study. A retrospective analysis was conducted on a cohort of 97 obese patients scheduled for weight-loss surgery at the First Affiliated Hospital of Wannan Medical College from January 2021 to March 2023. The patients′ body mass index (BMI), biochemical parameters and body composition measurements obtained by QCT were recorded. The patients were stratified into groups based on gender, obesity severity and the number of MS components. Differences in body composition among the groups were compared. Additionally, the correlations between each body composition parameter and metabolic indicators were analyzed. The diagnostic efficacy of each body composition parameter for identifying obese individuals with different MS components was assessed using receiver operating characteristic (ROC) curve analysis.Results:There were 75 females (77.3%). Male obese patients had higher total abdominal fat area [(693.23±148.90) vs (574.99±114.89) cm 2, t=-3.958, P<0.001], visceral fat area [(289.65±57.67) vs (195.60±57.37) cm 2, t=-6.753, P<0.001], fat content of pancreatic head [27.45%(21.65%, 45.48%) vs 21.60%(17.6%, 26.9%), Z=-2.675, P=0.007], and skeletal muscle index [73.36(68.74, 81.26) vs 61.52(55.74, 66.41) cm 2/m 2, Z=-5.246, P<0.001]. With the increase of obesity, abdominal fat mainly increases in subcutaneous fat. With the increase of MS components (MS2 group, MS3 group, MS4 group, MS5 group), the abdominal fat area, abdominal fat/subcutaneous fat, liver fat content, pancreatic head fat content, and skeletal muscle index of patients all increased accordingly. In diagnosing the presence of two components of MS, area under the curve of visceral fat area was the largest (AUC=0.706, 95% CI=0.577-0.834). For diagnosing the presence of three, four and five components of MS, area under curve of liver fat content were all the largest (MS3=0.712, 95% CI=0.605-0.818; MS4=0.652, 95% CI=0.537-0.766; MS5=0.706, 95% CI=0.576-0.836). Conclusion:There are differences in QCT body composition among obese patients with different MS components, and there is a correlation between each body composition and MS component. Among them, intra-abdominal fat area and liver fat content are of great value in evaluating obese patients with different MS components.

Background Results of genetic testing for antipsychotic drugs can guide the rational use of drugs in clinical practice and help improve the clinical symptoms of patients with schizophrenia.However,there is currently limited evidence in China regarding the impact of genetic testing results on medication adherence,social function and drug side effects of antipsychotic drug treatment.Objective To explore the improvement of clinical symptoms,medication adherence and social function in patients with schizophrenia under the guidance of antipsychotic drug gene testing results and examine the safety of drug treatment,so as to provide references for ifor precise treatment of schizophrenia patients.Methods Patients with acute schizophrenia who received hospitalization at Dazhou Minkang Hospital from July 2019 to August 2021 as well as met the diagnostic criteria of the International Classification of Diseases,tenth edition(ICD-10)were selected as research subjects(n=144).Based on random number table,subjects were divided into study group and control group,with 72 cases in each group.Control group received drug treatment based on the doctor's clinical experience,while study group received drug treatment based on the results of gene testing for antipsychotic drug.Both treatments lasted for 12 weeks.At baseline as well as 2,4,8 and 12 weeks after treatment,Positive and Negative Syndrome Scale(PANSS),8-item Morisky Medication Adherence Scale(MMAS-8),Social Functional Rating Scale(SFRS)and Treatment Emergent Symptom Scale(TESS)were adopted for assessment.Result Time effect and group effect of the reducing rate of PANSS,MMAS-8 and SFRS scores in the groups were statistically significant(Ftime=95.251,6.650,14.101,Fgroup=38.055,58.175,128.221,P<0.01).The interaction effect of the reduction rates of MMAS-8 scores in two groups was statistically significant(Finteraction=5.837,P<0.01).The group effect and interaction effect of the severity scores of drug side effects and patient pain scores in two groups were statistically significant(Fgroup=7.553,81.533,Finteraction=8.693,9.322,P<0.01).Conclusion In terms of improving clinical symptom relief,medication adherence,social function and drug side effects,medication for patients with schizophrenia guided by genetic testing of antipsychotic drugs may be more effective than that relying on medication based on clinical experience.

Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO₂, NO₂, CO, PM_2.5, PM₁₀, and maximum 8 h O₃ concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM_2.5, NO₂, SO₂, and O₃ were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM_2.5, NO₂, SO₂ and O₃ were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.

Objective:To analyze the risk factors associated with retinal detachment in patients with myopia, and to establish and validate the predictive column-line diagram model.Methods:A cross-sectional clinical study. From January 2020 to November 2021, 90 patients with myopia combined with retinal detachment who were diagnosed by ophthalmologic examination in the People's Hospital of Ningxia Hui Autonomous Region were included in the study (observation group). Ninety myopic patients with age- and gender-matched myopia who underwent ophthalmologic examination for myopia during the same period were selected as the control group. The clinical data of the two groups were analyzed, and the indicators with differences were subjected to univariate and multivariate logistic regression analyses. The results of the regression analyses were visualized by using R software to obtain the column charts, and the accuracy of the column charts was verified by the ROC curves of the subjects' work characteristics; the clinical efficacy of the column chart model was verified by the internal data.Results:Compared with the control group, patients in the observation group were older, had higher myopic refraction, had more visual fatigue, ocular trauma, and cataracts, had lower choroidal and retinal thickness, and had more history of ophthalmic surgery, and the differences were statistically significant ( P<0.05). The area under the ROC curve (AUC) for age, myopic refraction, retinal thickness, and choroidal thickness were 0.612, 0.613, 0.720, and 0.704, respectively; the optimal cutoff values were 43 years old, -3.5 D, 225 μm, and 144 μm. the ROC values were 0.612, 0.613, 0.720, and 0.704 for age (>43 years old), myopic refraction (>-3.5 D), visual fatigue (yes), ocular trauma (yes), cataracts (yes), retinal thickness (≤225 μm), and choroidal thickness (≤144 μm) were the risk factors affecting the development of retinal detachment in myopic patients ( P<0.05). The consistency index of the column chart model for predicting the risk of retinal detachment in patients with myopia was 0.731 (95% confidence interval 0.665-0.824); the risk threshold for predicting the development of retinal detachment in patients was >0.07. Conclusions:Age >43 years, myopic refraction >-3.5 D, presence of visual fatigue, ocular trauma, cataract, retinal thickness ≤225 μm, choroidal thickness ≤144 μm are the risk factors affecting the development of retinal detachment in myopic patients. The column-line diagram model constructed on the basis of the risk factors has good accuracy.