1.Potential role of ineffective esophageal motility in pathogenesis of gastroesophageal reflux disease
Wenquan KANG ; Chengzhong ZHAO ; Jianyun FU
Chinese Journal of Practical Internal Medicine 2001;0(04):-
Objective To explore the potential role of ineffective esophageal motility(IEM) in the pathogenesis of gastroesophageal reflux disease(GERD).Methods The esophageal manometry and ambulatory pH monitoring findings from patients with GERD were analyzed to identify the prevalence of IEM in patients with GERD.And comparison of esophageal acid exposure,esophageal acid clearance (EAC) and endoscopic esophagitis in GERD patients with IEM were made.Results Of 86 patients with GERD,59 (68.6%) were found to have nonspecific esophageal motility disorder (NEMD);55 of the 59 (93.2%)patients with NEMD met the diagnostic criteria for IEM.The overall incidence of IEM in GERD patients was 63.95%.Patients with IEM demonstrated significant increase in total,upright and recumbent mean percentage of time of pH
2.Sharp marginal ridge affects the fitness of the metal full crown cast for the abutment tooth
Xuehua TANG ; Chengzhong TANG ; Xiaodong YAN ; Jun LAN ; Yicai LI ; Xiaoqin YU ; Yong JIANG ; Hui XU ; Zhao MAO ; Jie JIN
Journal of Medical Postgraduates 2004;0(01):-
Objective: To study the effect of the sharp marginal ridge of the abutment on the casting of the fit metal full crown in dental preparation.Methods: We established the models of the designed crown-based-teeth(American Dental Association style,No2 trail) with a sharp or smooth marginal ridge,and cast a metal crown for each model.We injected silicone into the crown and immediately fixed it onto each model.Then we took out the solidified silicone and measured its thickness between the crown and the occlusal face of each model.The thinner the thickness,the better the fitness.Results: The average silicone thickness was 250 ?m in the smooth marginal ridge group and 1 660 ?m in the sharp marginal ridge group,with significant difference in between(P
3.Autologous Mesenchymal Stem Cell Transplantation in Patients with Diseases of Nervous System
Gui-xiang CUI ; Yi-zhao LI ; Hua Hua ; Shiwen ZHU ; Chengzhong SONG ; Zunwei XIE ; Xiaoxia ZHANG ; Qing SHI ; Huaishui HOU ; Bojun SHEN
Chinese Journal of Rehabilitation Theory and Practice 2006;12(3):242-245
ObjectiveTo investigate the clinical effects and side-effect of mesenchymal stem cell(MSCs) transplantation on spinal cord injury(SCI),traumatic brain injury(TBI),multiple sclerosis(MS) or Parkinson's disease(PD).MethodsThe bone marrow(222~350 ml) of 11 patients with SCI(n=6),TBI(n=3),MS(n=1) or PD(n=1) were harvested from the patients' ilia and then MNCs were isolated.The MNCs were injected intravenously or into subarachnoid space by lumbar puncture.The neural function and side-effect were observed before and after MSCs transplantation and the patients were followed up.ResultsThe data demonstrated the improvement of sense and motor function in 5 patients with SCI,one had no improvement by 2 months following-up.These patients' sense and motor levels improved obviously.Their muscle strength of lower extremity increased,the muscular tone decreased and urinary bladder function improved.Changes in neurological deficits and improvements in function may appear within 2 days after transplantation,most of them within 2 weeks.There were significantly amelioration in 3 patients with TBI treated with MSCs transplantation,one of them could walk with cane independently after 3 months.One's PVS score elevated from 5 to 8 scales after transplantation.The tremor was alleviated after 1 week,and the muscular tone decreased,which lead to reduce the dose of Madopar after 3 months,in patient with PD.The patient with MS showed no improvement in short time.The side-effect included fever(7/11),headache(2/11) and abdominal dissension(1/11).1 patient feel numb in his legs while injection into subarachnoid,and appeared meningeal stimulation after injection.ConclusionThere were significantly clinical effects in treatment of SCI,TBI,MS,and PD with MSCs transplantation in short time,and with few side-effect. The long-term clinical effects need more observation with larger samples.
4.Pilot surveillance and evaluation of influenza-like illness based on automatic computer analysis of electronic medical record in sentinel hospital
Aiqin ZHU ; Jianhua LIU ; Chengzhong XU ; Hao ZHANG ; Xiaokun YANG ; Hongting ZHAO ; Zhili LI ; Liping WANG ; Luzhao FENG ; Yaming ZHENG ; Ying QIN ; Zhongjie LI
Chinese Journal of Preventive Medicine 2020;54(6):691-695
Objective:To compare the accuracy of influenza-like illness (ILI) surveillance by automatic computer analysis based on electronic medical records and by doctor’s report.Methods:A total of 3 542 patients who presented to Yichang Central Hospital fever clinic, respiratory department or emergency department between April to October 2019 with an ICD-10 code for acute respiratory illness (J00-J22) and complete electronic medical information of ILI related syndromes were drawn as the study sample. Taking the classification of the study sample according to the ILI case definition by influenza surveillance professionals as the gold standard, draw the receiver operating characteristic (ROC) curve and calculate sensitivity, specificity, diagnostic consistency to compared the accuracy of ILI surveillance by automatic computer analysis and by doctor's report.Results:Median age of 3 542 cases was 30 (24, 38) years old; 1 179 cases (33.29%) compliance with the case definition, ILI reported by doctors was 1 306 cases (36.87%), and computer automatic identification ILI were 1 150 cases (32.47%); 1 391 (39.27%) cases were men. The results of automatic computer analysis and doctor report consistency of kappa values with gold standard judgment were 0.97 and 0.66 respectively; area under the ROC curve was 0.98 and 0.84, respectively. And the sensitivity and specificity of automatic computer analysis were higher than that of doctor's report (all P values were <0.001), the sensitivity was 96.95% and 82.27%, and the specificity was 99.70% and 85.78%, respectively. Conclusion:The automatic computer analysis based on electronic medical records can identified ILI cases with good sensitivity and specificity in ILI case surveillance.
5.Pilot surveillance and evaluation of influenza-like illness based on automatic computer analysis of electronic medical record in sentinel hospital
Aiqin ZHU ; Jianhua LIU ; Chengzhong XU ; Hao ZHANG ; Xiaokun YANG ; Hongting ZHAO ; Zhili LI ; Liping WANG ; Luzhao FENG ; Yaming ZHENG ; Ying QIN ; Zhongjie LI
Chinese Journal of Preventive Medicine 2020;54(6):691-695
Objective:To compare the accuracy of influenza-like illness (ILI) surveillance by automatic computer analysis based on electronic medical records and by doctor’s report.Methods:A total of 3 542 patients who presented to Yichang Central Hospital fever clinic, respiratory department or emergency department between April to October 2019 with an ICD-10 code for acute respiratory illness (J00-J22) and complete electronic medical information of ILI related syndromes were drawn as the study sample. Taking the classification of the study sample according to the ILI case definition by influenza surveillance professionals as the gold standard, draw the receiver operating characteristic (ROC) curve and calculate sensitivity, specificity, diagnostic consistency to compared the accuracy of ILI surveillance by automatic computer analysis and by doctor's report.Results:Median age of 3 542 cases was 30 (24, 38) years old; 1 179 cases (33.29%) compliance with the case definition, ILI reported by doctors was 1 306 cases (36.87%), and computer automatic identification ILI were 1 150 cases (32.47%); 1 391 (39.27%) cases were men. The results of automatic computer analysis and doctor report consistency of kappa values with gold standard judgment were 0.97 and 0.66 respectively; area under the ROC curve was 0.98 and 0.84, respectively. And the sensitivity and specificity of automatic computer analysis were higher than that of doctor's report (all P values were <0.001), the sensitivity was 96.95% and 82.27%, and the specificity was 99.70% and 85.78%, respectively. Conclusion:The automatic computer analysis based on electronic medical records can identified ILI cases with good sensitivity and specificity in ILI case surveillance.
6. Guidance on strengthening the management processes of children′s fever in outpatient department during the novel coronavirus pneumonia epidemic period (First Edition)
Guocheng ZHANG ; Xiaoning CHENG ; Hui DING ; Zhaoling SHI ; Ruying LI ; Zhou FU ; Qiang CHEN ; Dongchi ZHAO ; Runming JIN ; Guoming NIE ; Jirong LU ; Changshan LIU ; Deyu ZHAO ; Jiahua PAN ; Zhichun FENG ; Yuan SHI ; Zhengkun XIA ; Chengzhong ZHENG ; Jinjin JIANG ; Junxia WANG ; Yuejie ZHENG ; Yunxiao SHANG ; Wei XIANG ; Baoping XU ; Kunling SHEN ; Tianyou WANG ; Yonghong YANG ; Quan LU
Chinese Journal of Applied Clinical Pediatrics 2020;35(2):97-104
Novel Coronavirus Pneumonia (NCP) is a class B infectious disease, which is prevented and controlled according to class A infectious diseases. Recently, children′s NCP cases have gradually increased, and children′s fever outpatient department has become the first strategic pass to stop the epidemic. Strengthening the management of the fever diagnosis process is very important for early detection of suspected children, early isolation, early treatment and prevention of cross-infection. This article proposes prevention and control strategies for fever diagnosis, optimizes processes, prevents cross-infection, health protection and disinfection of medical staff, based on the relevant diagnosis, treatment, prevention and control programs of the National Health and Health Commission and on the diagnosis and treatment experience of experts in various provinces and cities. The present guidance summarizes current strategies on pre-diagnosis; triage, diagnosis, treatment, and prevention of 2019-nCoV infection in common fever, suspected and confirmed children, which provide practical suggestions on strengthening the management processes of children′s fever in outpatient department during the novel coronavirus pneumonia epidemic period.