Objective To evaluate the guidance value of capsule endoscopy and clinical scoring system in risk stratification for acute upper gastrointestinal bleeding (AUGIB) .Methods 24 patients presenting to the emergency room with AUGIB ,were randomly divided into two groups (12 cases in each group) .Pre‐Endoscopic Blatchford and Rockall scores were calculated for all pa‐tients .All patients underwent endoscopy(EGD) within 24 hours .The timing of EGD was based on clinical scores in control group , and on VCE in observation group .Positive VCE was defined as red blood ,clot or coffee grounds .Mean Rockall and Blatchford scores for all 24 patients were compared to differentiate high‐and low‐risk patients .Rockall and Blatchford scores were also com‐pared with VCE findings .Results A total of 13 out of 24 patients had high‐risk stigmata on EGD ,with the mean Rockall and Blatchford scores of 3 and 13 respectively .Meanwhile ,the mean Rockall and Blatchford scores of the other 11 patients were 2 and 11 .There was no statistically significant difference between the Blatchford scores of the two groups(95% CI:5 .2‐1 .4 ;P=0 .23) . Also there was no statistically significant difference between the Rockall scores of the two groups(95% CI:2 .2‐0 .3;P=0 .12) .In the subgroup of 12 patients who underwent VCE ,9/12 had positive findings confirmed at EGD afterward ,compared with the other 3 patients with negative VCE and endoscopy .Conclusion Both the Rockall and the Blatchford scores are not accurate to predict the degree of risk in patients with AUGIB identified at EGD .However ,VCE is sensitive and specific enough to a better risk stratifica‐tion tool .

A remote interactive consultation system based on wireless sensor networks is proposed for family health care works and non-hospital special case patient monitoring. The sensor nodes are integrated into a local area network to collect a variety of human physiological information, which is uploaded to Internet through the Code-Division Multiple Access (CDMA) wireless network technology and sent to the database based on GIS spatial location query technology for achieving electronic diagnosis. Users or administrators can visit remote monitor region through Internet. The results show that the system, using a star passive topology of static gateway and mobile detection node, combines intelligent-distributed wireless sensing, computing and wireless communication technologies. Hence the proposed system has a great practical value.
Biosensing Techniques ; methods ; Computer Communication Networks ; Diagnosis, Computer-Assisted ; instrumentation ; Equipment Design ; Humans ; Monitoring, Ambulatory ; instrumentation ; methods ; Monitoring, Physiologic ; methods ; Signal Processing, Computer-Assisted ; instrumentation ; Telemedicine

Objective:To investigate the prevalence and influencing factors of mild visual impairment in type 2 diabetic patients aged ≥50 years living in Funing County, Jiangsu Province.Methods:A population-based cross-sectional study was adopted.Cluster sampling was conducted among diabetic patients aged ≥50 years registered in the Chronic Disease Information Center of Funing County Center for Disease Prevention and Control from March 7th to April 20th, 2019.General information of selected patients was collected.Visual and ocular examinations on site were performed by ophthalmologists and technicians.The International Council of Ophthalmology standard for mild visual impairment, 0.3≤best corrected visual acuity<0.8 was adopted.The influencing factors of mild visual impairment were analyzed by logistic regression.This study protocol was approved by the Ethics Committee of Affiliated Hospital of Nantong University (No.2014-071).Results:Among the included 2 067 patients, 1 909 cases completed the investigation, with a response rate of 92.4%.There were 1 146 patients with mild visual impairment in at least one eye, and the prevalence of mild visual impairment was 60.00%.Among the eyes examined, 1 832 eyes were with mild visual impairment, accounting for 47.98%.Cataract (896/1 632), refractive error (515/1 632) and diabetic retinopathy (166/1 632) were the main causes of mild visual impairment in diabetic patients, accounting for 54.90%, 31.61% and 10.19%, respectively.Aging, female gender, low educational attainment, oral hypoglycemic drugs or subcutaneous insulin injection were risk factors for mild visual impairment in both eyes.Higher educational attainment, more sunshine exposure and exercise were protective factors for mild visual impairment in both eyes.Conclusions:The prevalence of mild visual impairment is relatively high in type 2 diabetic patients.Cataract surgery, correction of refractive error may help to improve mild visual impairment.Strengthening blood glucose control, more physical exercise and outdoor activities may slow the progression of mild visual impairment and prevent it from moderate and severe visual impairment.

Objective To explore the residual level of FPMs in indoor dust samples in Shenzhen from 2020 and 2021, and to analyze its temporal distribution characteristics. Methods In the present study, indoor dust samples (n=193) from residential buildings in Shenzhen. were collected to analyze the temporal variation characteristics of FPMs. Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was applied to determine the concentrations of FP and its four major metabolites (fipronil-sulfone, fipronil-sulfide, fipronil-desulfinyl, and fipronil-amide; abbreviated as FP-SFO, FP-SFI, FP-DES, and FP-AM) in the samples. The sum of the concentrations of FP and its four metabolites was represented as additive mass concentration (ΣFPMs). Additionaly, Wilcoxon test was performed to determine the temporal distribution differences of FPMs’ concentrations. Results From 2020 to 2021, the concentration of ΣFPMs for the in door dust samples in Shenzhen ranged from 0.51 to 4 415 ng/g (median: 18.8ng/g). FP, FP-SFO AND FP-SFI were the major target analytes in the sample with detection rates of 90.60%，86.20% and 75.40%, respectively. The detection rates of other metabolites were low (≤ 44.3%). Analysis of the temporal variation trend of FPMs’ concentrations showed that there was no significant difference in the levels of ΣFPMs between warm season（spring and summer）and cold season（autumn and winter）in the indoor dust samples from 2020 to 2021(2.38 vs 2.84ng/g , P > 0.05). However , the concentrations of FP-SFI and ΣFPMs in the indoor dust samples collected from 2021 showed an significantly increasing trend compared with 2020（1.02 vs 1.89 , 17.80vs. 20.10 ng/g , P < 0.05). Conclusion From 2020 to 2021 , the detection level of FPMs in indoor dust in Shenzhen is relatively high and shows an upward trend , with no obvious seasonal difference. However, whether the residual level of FPMs in indoor dust poses a risk to human health needs further study.