Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
Add more filters










Language
Publication year range
2.
Int. j. clin. health psychol. (Internet) ; 23(4)oct.-dic. 2023. ilus, tab
Article in English | IBECS | ID: ibc-226380

ABSTRACT

Objective: This study aims to develop a scale to measure the worry level of patients who will undergo gastrointestinal (GI) endoscopy with deep sedation, and to provide scientific references to alleviate their worries. Method: Based on literature review, panel discussion, patient interview and expert consultation, we developed the first version of the scale. After two pre-investigations, the formal version of the scale was formed, and the reliability and validity were tested on 1389 respondents. Reliability was assessed by Cronbach's alpha. Construct validity was tested by confirmatory factor analysis (CFA) and the Spearman correlations analysis. Results: The scale was composed of four dimensions: financial and time costs, sedation, examination, and psychology. It has 15 items. Reliability and validity were acceptable. The Cronbach's alpha of the whole scale was 0.959 and all the factor loadings were > 0.50. The Spearman correlations of the inter-dimensions ranged from 0.614 to 0.836, and the correlation coefficients between the dimensions and the total score were 0.795 to 0.957. The correlation coefficient between the total scale score and the APAIS was 0.833. Conclusions: This scale has good validity and reliability, which is useful for physicians and medical institutions to take appropriate measures to reduce patients' worries. (AU)


Subject(s)
Humans , Endoscopy, Gastrointestinal/psychology , Endoscopy, Gastrointestinal/statistics & numerical data , Reproducibility of Results , Factor Analysis, Statistical , Negativism
3.
Int J Clin Health Psychol ; 23(4): 100410, 2023.
Article in English | MEDLINE | ID: mdl-37701761

ABSTRACT

Objective: This study aims to develop a scale to measure the worry level of patients who will undergo gastrointestinal (GI) endoscopy with deep sedation, and to provide scientific references to alleviate their worries. Method: Based on literature review, panel discussion, patient interview and expert consultation, we developed the first version of the scale. After two pre-investigations, the formal version of the scale was formed, and the reliability and validity were tested on 1389 respondents. Reliability was assessed by Cronbach's alpha. Construct validity was tested by confirmatory factor analysis (CFA) and the Spearman correlations analysis. Results: The scale was composed of four dimensions: financial and time costs, sedation, examination, and psychology. It has 15 items. Reliability and validity were acceptable. The Cronbach's alpha of the whole scale was 0.959 and all the factor loadings were > 0.50. The Spearman correlations of the inter-dimensions ranged from 0.614 to 0.836, and the correlation coefficients between the dimensions and the total score were 0.795 to 0.957. The correlation coefficient between the total scale score and the APAIS was 0.833. Conclusions: This scale has good validity and reliability, which is useful for physicians and medical institutions to take appropriate measures to reduce patients' worries.

4.
Toxins (Basel) ; 15(7)2023 07 06.
Article in English | MEDLINE | ID: mdl-37505716

ABSTRACT

Inflammatory bowel disease (IBD) is a chronic, lifelong gastrointestinal disease, characterized by periods of activity and remission. The etiology of IBD is closely related to environmental factors. Previous studies have shown that the cyanotoxin microcystin-LR (MC-LR) causes intestinal damage, even IBD. To explore MC-LR's effects and potential mechanisms on IBD occurrence and development, we used dextran-sulfate sodium gavage (DSS) and MC-LR together for the first time in mice. There were four groups of mice: (A) mice given PBS gavage (control, CT); (B) mice given 3% DSS gavage (DSS); (C) mice given 200 µg/kg MC-LR gavage (MC-LR); and (D) mice given 3% DSS + 200 µg/kg MC-LR gavage (DSS + MC-LR). Compared with the CT group, the MC-LR group and the DSS group demonstrated more severe colitis results, which presented as higher weight loss, an increased Disease Activity Index (DAI) score, shorter colon length, a higher degree of tissue structural damage, more apoptotic cells, and greater pro-inflammatory cytokines. Similarly, the DSS + MC-LR group showed more severe colitis compared with the DSS group. Subsequent experiments confirmed that MC-LR or DSS increased the expression of pyroptosis-related proteins mediated by the nucleotide-binding domain-like receptor protein 3 (NLRP3). Likewise, compared with the DSS group, the DSS + MC-LR group expressed these proteins at a higher level. In conclusion, our research is the first to show that MC-LR may induce colitis, and even IBD, through NLRP3 inflammasome-mediated pyroptosis, and it could aggravate DSS-induced colitis in the same way.


Subject(s)
Colitis , Inflammatory Bowel Diseases , Animals , Mice , Inflammasomes/metabolism , NLR Family, Pyrin Domain-Containing 3 Protein , Pyroptosis , Colitis/chemically induced , Inflammatory Bowel Diseases/metabolism , Mice, Inbred C57BL , Disease Models, Animal
5.
Therap Adv Gastroenterol ; 16: 17562848231171962, 2023.
Article in English | MEDLINE | ID: mdl-37168400

ABSTRACT

Background: It remains unclear whether visceral adipose tissue (VAT) can predict the response of patients with Crohn's disease (CD) to anti-tumour necrosis factor-α (anti-TNF-α) therapy. Objectives: This study aimed to investigate whether VAT predicts the efficacy of infliximab (IFX) for different sites of CD and its relationship with serum TNF-α levels and IFX serum trough concentration. Design: This is a multicentre retrospective study. Methods: Patients with CD treated with IFX from January 2014 to January 2021 were included. The perimeter of the visceral adipose area was obtained by a Computed Tomography (CT) scan. Participants were classified according to the lesion site (L1, L2, and L3) and visceral fat area. The participants were divided into colon-uninvolved non-visceral obesity (L1-VATL), colon-uninvolved visceral obesity (L1-VATH), colon-involved non-visceral obesity (L2 + L3-VATL), and colon involved visceral obesity (L2 + L3-VATH) groups. The end points of this study were set as disease remission status at 6 and 12 months. Results: The final cohort included 140 patients. Regarding efficacy at 6 and 12 months, there was a significant difference between L1-VATL (73.8% versus 36.8%, p = 0.006) and L1-VATH (81.0% versus 47.4%, p = 0.008) groups. In the analysis of serum TNF-α levels and IFX serum trough concentrations, there was a significant difference between L1-VATL and L1-VATH (59.5 pg/mL versus 236.0 pg/mL, pTNF-α = 0.006), (10.0 µg/mL versus 0.4 µg/mL, pIFX = 0.000), and L1-VATH and L2 + L3-VATH (78.7 pg/mL versus 118.6 pg/mL, pTNF-α = 0.031), (0.4 µg/mL versus 6.40 µg/mL, pIFX = 0.017). Conclusion: In L1 patients, the VAT level predicted the efficacy of IFX, with high VAT values indicating poor efficacy. The VAT level may be a useful radiological marker to predict the efficacy of IFX in patients with various types of CD.

6.
Med Phys ; 50(7): 4197-4205, 2023 Jul.
Article in English | MEDLINE | ID: mdl-36965116

ABSTRACT

BACKGROUND: Early detection of solid pancreatic masses through contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) is important. But CH-EUS is difficult to learn. PURPOSE: To design a deep learning-based CH-EUS diagnosis system (CH-EUS MASTER) for real-time capture and segmentation of solid pancreatic masses and to verify its value in the training of pancreatic mass identification under endoscopic ultrasound (EUS). METHODS: We designed a real-time capture and segmentation model for solid pancreatic masses and then collected 4530 EUS images of pancreatic masses retrospectively, used for training and testing of this model at a ratio of 8:2. The model is loaded into the EUS host computer to establish the CH-EUS MASTER system. A crossover trial was then conducted to evaluate the model's value in EUS trainee training by successfully conducting two groups of EUS trainees in model learning and trainer-guided training. The intersection over union (IoU) and the time to find the lesion were used to evaluate the model performance metrics, and the Mann-Whitney test was used to compare the IoU and the time to find the lesion in different groups of subjects. Paired t-test was used to compare the effects before and after training. When α ≤ 0.05, it is considered to have a significant statistical difference. RESULTS: The model test showed that the model successfully captured and segmented the pancreatic solid mass region in 906 EUS images. The real-time capture and segmentation model had a Dice coefficient of 0.763, a recall rate of 0.941, a precision rate of 0.642, and an accuracy of 0.842 (when the threshold is set to 0.5), and the median IoU of all cases was 0.731. For the AI training effect, the average IoU of eight trainees improved from 0.80 to 0.87 (95% CI, 0.032-0.096; p = 0.002). The average time for identifying lesions in the pancreatic body and tail improved from 22.75 to 17.98 s (95% CI, 3.664-5.886; p < 0.01). The average time for identifying lesions in the pancreatic head and uncinate process improved from 34.21 to 25.92 s (95% CI, 7.661-8.913; p < 0.01). CONCLUSION: CH-EUS MASTER can provide an effect equivalent to trainer guidance in training pancreatic solid mass identification and segmentation under EUS.


Subject(s)
Deep Learning , Pancreatic Neoplasms , Humans , Pancreatic Neoplasms/diagnostic imaging , Retrospective Studies , Endosonography/methods , Pancreas/diagnostic imaging
SELECTION OF CITATIONS
SEARCH DETAIL
...