BACKGROUND:The causal relationship between modifiable factors such as lifestyle,metabolic characteristics,and nutritional intake and joint sports injuries has been increasingly recognized in clinical studies.However,the exact causal relationship between these modifiable factors and joint sports injuries remains unclear. OBJECTIVE:To investigate the causal relationship between modifiable factors and joint sports injuries using Mendelian randomization to provide a basis for sports injury prevention. METHODS:The GWAS dataset of intervening factors and joint sports injuries was obtained from publicly available data.The causal relationships between lifestyle,metabolic characteristics,nutritional intake,and joint sports injuries were explored using the inverse variance weighting method,the MR-Egger method,and the weighted median method.For sensitivity analyses,Cochran's Q test,MR-Egger regression,leave-one-out method,and MR-PRESSO were used to verify the stability and reliability of the results. RESULTS AND CONCLUSION:(1)In terms of lifestyle,coffee(OR=0.29,95%CI:0.10-0.79,P=0.016),and tea consumption(OR=0.41,95%CI=0.19-0.85,P=0.017)were associated with a decreased risk of ankle and foot joint sports injuries,and coffee consumption(OR=3.31,95%CI=1.02-10.73,P=0.046)was potentially causally associated with an increased risk of shoulder joint sports injuries;and never smoking(OR=0.78,95%CI=0.70-0.87,P=1.49×10-5)was significantly causally associated with a decreased risk of ankle and foot joint sports injuries.(2)In terms of metabolic characteristics,calcium levels(OR=0.88,95%CI=0.79-0.98,P=0.017)were potentially causally associated with a decreased risk of wrist and hand joint sports injuries.(3)In terms of nutritional intake,vitamin A intake(OR=1.08,95%CI:1.02-1.13,P=0.007)was potentially causally associated with increased risk of knee joint sports injury.(4)For the sensitivity analysis,Cochran's Q test showed the existence of heterogeneity(P<0.05),so the random effect model was used for the analysis.MR-Egger regression and MR-PRESSO test did not find evidence of pleiotropy(P>0.05),and the leave-one-out method showed that the results were stable after eliminating single nucleotide polymorphisms one by one.(5)This study preliminarily reveals the effects of modifiable factors,such as lifestyle,metabolic characteristics,and nutritional intake,on the risk of joint sports injuries.It provides valuable research evidence and guidance for the prevention of joint sports injuries.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

BACKGROUND:Clinical evidences have suggested a correlation between metabolic factors and sarcopenia.Blood metabolites have been found as biological factors underlying the mechanisms of musculoskeletal disorders.However,the causal relationship between blood metabolites and sarcopenia is unclear. OBJECTIVE:To explore the causal relationship between blood metabolites and sarcopenia-related traits through a two-sample Mendelian randomization analysis and to analyze their metabolic pathways. METHODS:A dataset of 486 blood metabolites and sarcopenia-related traits was obtained from public databases.The inverse variance weighting,MR-Egger and weighted median methods were used to assess the causal relationship of blood metabolites with muscle mass and strength across genders.Sensitivity analyses,including heterogeneity and gene pleiotropy,were performed to explore the robustness of the results.Metabolic pathway analysis of potential causal relationships was performed using the Metaboanayst 5.0 tool. RESULTS AND CONCLUSION:A total of 124 metabolites and sarcopenia-related traits were observed to have potential causal relationships(P<0.05).Mannose and 1-arachidonoylglycerophosphocholine were significantly causally associated with an increased muscle mass in males(P<1.03×10-4).Pentadecanoate and glycine were significantly causally associated with decreased muscle mass and muscle strength in females,respectively(P<1.03×10-4).Metabolic pathway analysis identified eight metabolic pathways associated with altered levels of muscle mass and muscle strength in sarcopenia,including the"glyoxylate and dicarboxylate metabolism"and"Glycine,serine and threonine metabolism."The identified metabolites are considered as useful circulating metabolic biomarkers for screening and prevention of sarcopenia in clinical practice,serving as candidate molecules for future mechanistic exploration and drug target selection.

Objective To observe the value of deep learning echocardiographic intelligent model for evaluation on left ventricular(LV)regional wall motion abnormalities(RWMA).Methods Apical two-chamber,three-chamber and four-chamber views two-dimensional echocardiograms were obtained prospectively in 205 patients with coronary heart disease.The model for evaluating LV regional contractile function was constructed using a five-fold cross-validation method to automatically identify the presence of RWMA or not,and the performance of this model was assessed taken manual interpretation of RWMA as standards.Results Among 205 patients,RWMA was detected in totally 650 segments in 83 cases.LV myocardial segmentation model demonstrated good efficacy for delineation of LV myocardium.The average Dice similarity coefficient for LV myocardial segmentation results in the apical two-chamber,three-chamber and four-chamber views was 0.85,0.82 and 0.88,respectively.LV myocardial segmentation model accurately segmented LV myocardium in apical two-chamber,three-chamber and four-chamber views.The mean area under the curve(AUC)of RWMA identification model was 0.843±0.071,with sensitivity of(64.19±14.85)％,specificity of(89.44±7.31)％and accuracy of(85.22±4.37)％.Conclusion Deep learning echocardiographic intelligent model could be used to automatically evaluate LV regional contractile function,hence rapidly and accurately identifying RWMA.

COVID-19 is caused by a novel coronavirus-severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), which has being spreading around the world, posing a serious threat to human health and lives. Neutralizing antibodies and small molecule inhibitors for virus replication cycle are the main antiviral treatment for novel coronavirus recommended in China. To further promote the rational use of antiviral therapy in clinical practice, the National Center for Infectious Diseases (Beijing Ditan Hospital Capital Medical University and the First Affiliated Hospital, Zhejiang University School of Medicine) invited experts in fields of infectious diseases, respiratory and intensive care to develop an Expert Consensus on Antiviral Therapy of COVID-19 based on the Diagnosis and Treatment Guideline for COVID-19 ( trial version 10) and experiences in the diagnosis and treatment of COVID-19 in China. The consensus is concise, practical and highly operable, hopefully it would improve the understanding of antiviral therapy for clinicians and provide suggestions for standardized medication in treatment of COVID-19.

Objective:To investigate the experience and results of the modified lateral prostate capsule sparing robot-assisted radical cystectomy-orthotopic ileal neobladder (LPCS-RARC-OIN).Methods:From December 2018 to November 2020, 19 patients received LPCS-RARC-OIN by a single surgeon in Sun Yat-sen Memorial Hospital, Sun Yat-sen University. LPCS-RARC-OIN was performed on male patients with high-risk non-muscle-invasive bladder cancer or muscle-invasive bladder cancer cT 2N 0M 0 without tumour in the bladder neck or urethra, and prostate cancer was ruled out by MRI and serum PSA<2.5ng/ml. The average age was 57.6 years, the average IIEF-5 score was 20.4. Separating the prostatic adenoma and the lateral prostate capsule from the base to the apex of the prostate, and retaining the lateral prostate surgical capsule or lateral prostate capsule about 1-2mm thickness. Patients were followed up and urinary function, sexual function and oncological outcomes were recorded. Results:All 19 operations were finished successfully. The average operation time was 279.9 (225-345) min and average estimated blood loss was 88.9 (30-200) ml. The average postoperative hospital stays was 15.8 (9 -23) days. The average lymph node yields was 23.3 (11-42). All surgical margins were negative and no incidental prostate cancer was found. 2 weeks, 1 month, 3 months and 6 months after catheter removal, the daytime and nighttime continence were 42.1% (8/19)and 36.8% (7/19), 63.2% (12/19)and 63.2% (12/19), 78.9% (15/19) and 73.7% (14/19), 94.7% (18/19) and 89.5% (17/19), respectively. 3 months and 6 months after operation, the average IIEF-5 score was 7.2 and 10.1 points respectively. The average follow-up was 10.6 months (5.4-26.1 months)and no recurrence or distant metastasis was found in this study.Conclusions:LPCS-RARC-OIN could improve the urinary and sexual function in selected patients. However, the long-term follow up is needed for functional and oncological outcomes.