Objective To observe the value of gastric filling ultrasound(GFUS)for diagnosing dysphagia after surgical operation of hiatal hernia(HH).Methods Totally 71 HH patients who underwent laparoscopic HH repair and fundoplication surgery were retrospectively enrolled and divided into dysphagia group(n=23)and non dysphagia group(n=48)according to postoperative Saeed scores.GFUS parameters,including inner diameter of esophageal hiatus lumen(IDE),wall thickness of abdominal esophageal(WTE)and inner diameter of the esophageal lumen at the fold(FIDE)were compared between groups,and their value of diagnosing postoperative dysphagia were analyzed.Results In dysphagia group,IDE and FIDE were lower,while WTE was higher than those in non dysphagia group(all P＜0.05).Low IDE and high WTE were both independent risk factors of postoperative dysphagia in HH patients.The sensitivity,specificity and area under the curve(AUC)of IDE for diagnosing dysphagia after surgical operation of HH was 82.64％,66.69％and 0.773,of WTE was 82.59％,68.73％and 0.793,of their combination was 88.89％,77.59％and 0.843,respectively.The AUC of the combination of IDE and WTE was higher than that of IDE and WTE alone(Z=1.328,1.364,P=0.044,0.043).Conclusion Combination of GFUS parameters IDE and WTE was valuable for diagnosing dysphagia after surgical operation of HH.

Background::While type 2 diabetes mellitus (T2DM) is considered a putative causal risk factor for coronary artery disease (CAD), the intrinsic link underlying T2DM and CAD is not fully understood. We aimed to highlight the importance of integrated care targeting both diseases by investigating the phenotypic and genetic relationships between T2DM and CAD.Methods::We evaluated phenotypic associations using data from the United Kingdom Biobank ( N = 472,050). We investigated genetic relationships by leveraging genomic data conducted in European ancestry for T2DM, with and without adjustment for body mass index (BMI) (T2DM: Ncase/ Ncontrol = 74,124/824,006; T2DM adjusted for BMI [T2DM adjBMI]: Ncase/ Ncontrol = 50,409/523,897) and for CAD ( Ncase/ Ncontrol = 181,522/984,168). We performed additional analyses using genomic data conducted in multiancestry individuals for T2DM ( Ncase/ Ncontrol = 180,834/1,159,055). Results::Observational analysis suggested a bidirectional relationship between T2DM and CAD (T2DM→CAD: hazard ratio [HR] = 2.12, 95% confidence interval [CI]: 2.01–2.24; CAD→T2DM: HR = 1.72, 95% CI: 1.63–1.81). A positive overall genetic correlation between T2DM and CAD was observed ( rg = 0.39, P = 1.43 × 10 -75), which was largely independent of BMI (T2DM adjBMI–CAD: rg = 0.31, P = 1.20 × 10 –36). This was corroborated by six local signals, among which 9p21.3 showed the strongest genetic correlation. Cross-trait meta-analysis replicated 101 previously reported loci and discovered six novel pleiotropic loci. Mendelian randomization analysis supported a bidirectional causal relationship (T2DM→CAD: odds ratio [OR] = 1.13, 95% CI: 1.11-1.16; CAD→T2DM: OR = 1.12, 95% CI: 1.07-1.18), which was confirmed in multiancestry individuals (T2DM→CAD: OR = 1.13, 95% CI: 1.10-1.16; CAD→T2DM: OR = 1.08, 95% CI: 1.04-1.13). This bidirectional relationship was significantly mediated by systolic blood pressure and intake of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors, with mediation proportions of 54.1% (95% CI: 24.9-83.4%) and 90.4% (95% CI: 29.3-151.5%), respectively. Conclusion::Our observational and genetic analyses demonstrated an intrinsic bidirectional relationship between T2DM and CAD and clarified the biological mechanisms underlying this relationship.