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1.
Chinese Journal of Digestive Endoscopy ; (12): 288-292, 2023.
Article in Chinese | WPRIM | ID: wpr-995383

ABSTRACT

Objective:To explore the value of linaclotide combined with compound polyethylene glycol electrolytes powder (PEG) for bowel preparation for colonoscopy.Methods:A randomized and single blind prospective clinical study was conducted in patients who intended to receive colonoscopy at the Department of Gastroenterology in Shenzhen Hospital, Southern Medical University from June 2021 to August 2021. One hundred and fifty-two patients in the experimental group were treated with 580 μg linaclotide + 2 L PEG, and 152 patients in the control group were treated with 3 L PEG. The bowel preparation effects including Boston bowel preparation scale (BBPS) score, bubble score and lesion detection rate, and safety (adverse events) were compared between the two groups.Results:The total BBPS scores were 9 (8, 9) in the experimental group, and 9 (9, 9) in the control group with no significant difference ( Z=0.141, P=0.888). The bubble scores were 1 (1, 2) in the experimental group, and 1 (1, 1) in the control group with no significant difference ( Z=1.788, P=0.074). There was no significant difference in detection rate of lesions between the experimental group and the control group [37.50% (57/152) VS 33.55% (51/152), χ2=0.517, P=0.472]. There was no significant difference in safety including incidence of nausea [7.24% (11/152) VS 13.16% (20/152), χ2=2.910, P=0.088], vomiting [2.63% (4/152) VS 7.24% (11/152), χ2=3.436, P=0.064], abdominal distension [7.89% (12/152) VS 11.84% (18/152), χ2=1.331, P=0.249] and abdominal pain [2.63% (4/152) VS 4.61% (7/152), χ2=0.849, P=0.357] between the experimental group and the control group. Conclusion:Linaclotide combined with PEG for colonoscopic bowel preparation reduces drinking water volume. The cleaning effect and safety are comparable to using 3 L PEG. It can be recommended for bowel preparation for colonoscopy.

2.
Chinese Journal of Digestive Endoscopy ; (12): 38-41, 2020.
Article in Chinese | WPRIM | ID: wpr-798899

ABSTRACT

Objective@#To investigate the cleaning effects of biofilm cleaning agent and two kinds of multi-enzyme detergents on endoscopic biofilm.@*Methods@#Endoscopic biofilm model was established using pseudomonas aeruginosa, and soaked with No. 1 multi-enzyme detergent, No. 2 multi-enzyme detergent, and biofilm cleaning agent respectively. The control group was cleaned with sterile water. After 5, 10, and 15 minutes at room temperature, the cleaning effects were evaluated by bacteria counting method and scanning electron microscope. Arova was used for the comparison of viable counts among groups.@*Results@#At 5, 10, and 15 minutes of soak, the standard colony counts (CFU/cm2) of biofilm was 5.31±0.10, 5.04±0.08 and 4.90±0.16 in the No.1 multi-enzyme detergent group, 5.53±0.30, 5.39±0.21 and 5.03±0.42 in the No.2 multi-enzyme detergent group, and 3.53±0.30, 3.01±0.07 and 2.82±0.26 in the biofilm cleaning agent group, and 7.92±0.21 in the blank control group. There was no significant difference in the colony counts between the two multi-enzyme detergent groups (P>0.05). However, the colony counts of biofilm cleaning agent group was less than that of the two multi-enzyme detergent groups (P<0.05), and decreased with time (P<0.05). Under scanning electron microscope, the biofilm cleaning agent group had the least residual biofilm and bacteria.@*Conclusion@#Biofilm cleaning agent can significantly improve the quality of endoscopic cleaning, and is worthy of clinical promotion.

3.
Chinese Journal of Digestive Endoscopy ; (12): 38-41, 2020.
Article in Chinese | WPRIM | ID: wpr-871376

ABSTRACT

Objective:To investigate the cleaning effects of biofilm cleaning agent and two kinds of multi-enzyme detergents on endoscopic biofilm.Methods:Endoscopic biofilm model was established using pseudomonas aeruginosa, and soaked with No. 1 multi-enzyme detergent, No. 2 multi-enzyme detergent, and biofilm cleaning agent respectively. The control group was cleaned with sterile water. After 5, 10, and 15 minutes at room temperature, the cleaning effects were evaluated by bacteria counting method and scanning electron microscope. Arova was used for the comparison of viable counts among groups. Results:At 5, 10, and 15 minutes of soak, the standard colony counts (CFU/cm 2) of biofilm was 5.31±0.10, 5.04±0.08 and 4.90±0.16 in the No.1 multi-enzyme detergent group, 5.53±0.30, 5.39±0.21 and 5.03±0.42 in the No.2 multi-enzyme detergent group, and 3.53±0.30, 3.01±0.07 and 2.82±0.26 in the biofilm cleaning agent group, and 7.92±0.21 in the blank control group. There was no significant difference in the colony counts between the two multi-enzyme detergent groups ( P>0.05). However, the colony counts of biofilm cleaning agent group was less than that of the two multi-enzyme detergent groups ( P<0.05), and decreased with time ( P<0.05). Under scanning electron microscope, the biofilm cleaning agent group had the least residual biofilm and bacteria. Conclusion:Biofilm cleaning agent can significantly improve the quality of endoscopic cleaning, and is worthy of clinical promotion.

4.
Modern Clinical Nursing ; (6): 30-33, 2018.
Article in Chinese | WPRIM | ID: wpr-698835

ABSTRACT

Objective To explore the nursing measures in blue laser endoscopy. Methods Endoscopy was performed in 102 patients. The nursing was done including preoperative preparation, nurse's coordination for different mode of endoscpy, postoperative nursing and so on. Result The endoscopy for the 102 patients was successfully done,the time ranging between 10~25 min,averaged 13.85 min.No complications were found. Conclusion The nursing measures including careful preoperative preparation,intraoperative cooperation and postoperative nursing are key to the successful detection and diagnosis of diseases by blue laser endoscopy.

5.
Chinese Journal of Digestive Endoscopy ; (12): 381-384, 2018.
Article in Chinese | WPRIM | ID: wpr-711528

ABSTRACT

Objective To evaluate the diagnostic value of linked color imaging (LCI) technology on Helicobacter pylori (HP)-related gastritis. Methods Forty patients who were diagnosed as chronic gastritis using blue laser imaging endoscopy in Shenzhen Hospital of Southern Medical University during November 2016 to June 2017 were enrolled in this study. The appearance of gastric mucosa was observed using conventional white light imaging and LCI. Biopsies were taken under white light imaging according to biopsy pathological diagnosis consensus, and the ones from abnormal reddening area were taken under LCI. 13C-urea breath test (13C-UBT) was performed in all 40 patients. The consistency between the two observation methods and final pathological diagnosis was evaluated using Kappa test, and the diagnostic consistency of the two methods was compared using Mc Nemar paired Chi-square test.Results The positive predictive value of white light imaging and LCI for prediction of HP infection was 54. 5%(6/11) and 81. 5%(22/27), respectively.The consistency between white light imaging diagnosis and final pathological diagnosis was 0. 475 (19/40), Kappa=0. 635; the consistency between LCI diagnosis and final pathological diagnosis was 0. 875 (35/40), Kappa=0. 741. Mc Nemar paired Chi-square test showed that the consistency between the two methods had significant difference (P<0. 01). 13C-UBT showed that 19 patients were positive and 21 negative. Among the 19 positive patients, 1 case was diagnosed as HP negative by pathology under LCI; and among the 21 negative patients, 4 cases were diagnosed as HP negative by pathology under LCI.The consistency between pathological diagnosis and 13C-UBT was good (Kappa=0. 751). The red-white boundary and diffuse redness of gastric mucosa were observed in 15 and 11 cases under LCI, respectively, while unobserved under white light imaging.The Wilcoxon signed ranks test showed that there was a significant difference between white light imaging and LCI on the appearance of gastric mucosa (Z=-4. 455, P<0. 01). Conclusion LCI is more useful for diagnosis of HP-related chronic gastritis than white light imaging.

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