Objective:To analyze the clinical characteristics and pathogenesis of refractory gastroesophageal reflux disease(RGERD).Methods:The patients with acid regurgitation, heartburn and extraesophageal symptoms were enrolled in the study from November 2015 to September 2017 at Peking University Third Hospital. All the subjects filled the informed consent.Questionnaire, SCL-90, SAS and SDS scales were recorded. A 24 hour pH-impedance monitoring and esophageal high resonance manometry were carried out. According to the response to proton pump inhibitor(PPI), the patients were divided into RGERD and non-RGERD(NRGERD)groups. The clinical characteristics were compared between these two groups. Logistic regression was used to analyze the risk factors of RGERD.Results:One hundred and nineteen patients were finally enrolled in the study including 61 RGERD (51.3%) and 58 NRGERD patients (48.7%).The body mass index (BMI) and rates of, typical GER symptoms including acid regurgitation in RGERD patients were significantly lower than those in NRGERD patients ( P<0.05).While the atypical GER symptoms such as poststernal discomfort or chest pain were more common in RGERD group ( P<0.05).RGERD patients presented less acid reflux events and lower proximal segment reflux ratio than NRGERD patients. No obvious differences were found in the manometry metrics between these two groups. The scores of somatization, depression and hostility in RGERD patients by SCL-90 scales were significantly higher than those in NRGERD patients ( P<0.05), and depression score was an independent risk factor for RGERD [ OR=3.915 (95% CI1.464-10.466), P =0.007]. Conclusions:RGERD patients present more atypical symptoms and pathological non-acid reflux.Depression is an independent risk factor for RGERD.

Background::As a non-invasive and effective diagnostic method for small intestinal bacterial overgrowth (SIBO), wild-use of breath test (BT) has demonstrated a high comorbidity rate in patients with diarrhea-predominant irritable bowel syndrome (IBS-D) and SIBO. Patients overlapping with SIBO respond better to rifaximin therapy than those with IBS-D only. Gut microbiota plays a critical role in both of these two diseases. We aimed to determine the microbial difference between IBS-D overlapping with/without SIBO, and to study the underlying mechanism of its sensitivity to rifaximin.Methods::Patients with IBS-D were categorized as BT-negative (IBSN) and BT-positive (IBSP). Healthy volunteers (BT-negative) were enrolled as healthy control. The patients were clinically evaluated before and after rifaximin treatment (0.4 g bid, 4 weeks). Blood, intestine, and stool samples were collected for cytokine assessment and gut microbial analyses.Results::Clinical complaints and microbial abundance were significantly higher in IBSP than in IBSN. In contrast, severe systemic inflammation and more active bacterial invasion function that were associated with enrichment of opportunistic pathogens were seen in IBSN. The symptoms of IBSP patients were relieved in different degrees after therapy, but the symptoms of IBSN rarely changed. We also found that the presence of IBSN-enriched genera ( Enterobacter and Enterococcus) are unaffected by rifaximin therapy. Conclusions::IBS-D patients overlapping with SIBO showed noticeably different fecal microbial composition and function compared with IBS-D only. The better response to rifaximin in those comorbid patients might associate with their different gut microbiota, which suggests that BT is necessary before IBS-D diagnosis and use of rifaximin.Registration::Chinese Clinical Trial Registry, ChiCTR1800017911.

Based on ASP.NET framework, The Intelligent Estimated System for Rational Deployment of Medical Equipment (MERDIS) is designed and developed with SQL Server 2012 database and C# language. The system is used to realize the rational deployment suggestions and evaluation of medical equipment in hospitals. The system input the data of hospital medical equipment and clinical pathway into the database, and then feedback the deployment information to users which are calculated by big data information, so as to achieve the purpose of giving rational deployment of hospital medical equipment.
Databases, Factual ; Equipment Design ; Hospitals