Development and validation of a nomogram to predict non-response to 5-aminosalicylic acid in patients with ulcerative colitis.

BACKGROUND: there are some patients with ulcerative colitis (UC) who have non-response (NR) to 5-aminosalicylic acid (5-ASA). To promote individualized treatment in UC patients, it is crucial to identify valid predictors to estimate NR to 5-ASA. Therefore, this study aimed to identify the predictive value of clinical and biochemical markers and to construct a nomogram model predicting NR to 5-ASA in patients with UC. METHODS: data of patients diagnosed with UC in the First Hospital of China Medical University between January 2012 and December 2020 were retrospectively analyzed. Primary outcome was the proportion of NR to 5-ASA. Multivariable logistic regression was used to construct prediction models. Area under the curve (AUC), calibration and decision curve analyses (DCA) were assessed in the validation cohort. RESULTS: of 284 UC patients who were treatment-naive, 86 (30.3 %) had NR to 5-ASA. Univariate regression analysis showed that disease classification (DC) (p = 0.008), monocytes (MONO) (p = 0.041), platelet distribution width (PDW) (p = 0.027), serum total cholesterol (TC) (p = 0.031) and α1 globulin (p < 0.001) were strongly associated with NR to 5-ASA. Receiver operating characteristics (ROC) analysis indicated the AUC was 0.852, it showed that this model has a good degree of discrimination. The DCA curve showed that the predicted probability is 0.0-96.0 %. CONCLUSION: this study developed a predictive model with good discrimination and calibration, and high clinical validity, which can effectively estimate the risk of NR to 5-ASA. DC, MONO, PDW, TC and α1 globulin can be used as predictors for NR to 5-ASA in UC patients.

Impact of SARS-CoV-2 vaccination in inflammatory bowel disease patients with different biological agents: a systematic review and meta-analysis.

BACKGROUND: There are concerns regarding the effect of biological agents on SARS-CoV-2 vaccination in patients with inflammatory bowel disease (IBD). A systematic review and meta-analysis was performed about the serological responses, breakthrough infections and clinical relapse of IBD patients treated with biological agents following SARS-CoV-2 vaccination. METHODS: Electronic databases were searched to identify relevant studies. Primary outcomes were the pooled seroconversion rates, breakthrough infection rates and clinical relapse rates after SARS-CoV-2 vaccination in IBD patients treated with biological agents. Secondary outcomes were the comparison of seroconversion rates, breakthrough infection rates and clinical relapse rates in IBD patients treated with biological agents and control cohort after SARS-CoV-2 vaccination. RESULTS: Thirty-five studies were included in this meta-analysis. A high percentage of seroconversion (96.6%, 99% and 99.2%) was achieved in IBD patients treated with anti-TNF-α therapy, vedolizumab and ustekinumab after SARS-CoV-2 vaccination, respectively. The pooled breakthrough infection rate was 2.5% and 3.9% in IBD patients treated with anti-TNF-α therapy and vedolizumab, respectively. The breakthrough infection rate in IBD patients treated with anti-TNF-α therapy was significantly lower than control cohort (RR 0.178, 95% CI 0.084-0.378). The pooled clinical relapse rate in IBD patients treated with anti-TNF-α therapy, vedolizumab and ustekinumab was 6.9%, 5.4% and 5.3%, respectively. CONCLUSION: The overall seroconversion rate after SARS-CoV-2 vaccination in IBD patients treated with biological agents is high. The overall breakthrough infection rate and clinical relapse rate in IBD patients treated with biological agents were low.

Reply: SARS-CoV-2 vaccination in inflammatory bowel disease patients with different biological agents.

We thank Dr Mungmunpuntipantip and colleague for their interest and thoughtful comments on our publication. The authors have highlighted several important considerations for the impact of SARS-CoV-2 vaccination in inflammatory bowel disease (IBD) patients with different biological agents. We fully agree with the author's point of view, and we also point out the limitations in our meta-analysis.

The Prevalence of Gastrointestinal Symptoms, Abnormal Liver Function, Digestive System Disease and Liver Disease in COVID-19 Infection: A Systematic Review and Meta-Analysis.

BACKGROUND: The worldwide outbreak of COVID-19 infected millions of people. Some patients had gastrointestinal (GI) symptoms, abnormal liver function, digestive system disease and liver disease. AIM: To investigate the prevalence of GI symptoms, abnormal liver function, digestive system disease and liver disease in patients with COVID-19 by a systematic review and meta-analysis. METHODS: We searched PubMed, Ovid Embase, Medline, and 2 Chinese databases. Primary outcomes were the prevalence of GI symptoms, abnormal liver function, digestive system disease, and liver disease. Different studies were included in different subset analysis. These outcomes were estimated with proportions, odds ratio, 95% confidence interval (CI) and P-value by Stata SE 15.1. RESULTS: Thirty-one studies involving 4682 patients were included. The most significant GI symptoms were diarrhea (0.08, 95% CI: 0.06-0.11) and anorexia (0.17, 95% CI: 0.06-0.27). The most significant abnormal liver function was increased alanine aminotransferase (ALT) (0.25, 95% CI: 0.16-0.33). A total of 5% of the patients had digestive system disease (95% CI: 0.02-0.08). A total of 3% of the patients had liver disease (95% CI: 0.02-0.05). The prevalence of nausea and vomiting, diarrhea, abnormal liver function, digestive system disease, and liver disease was higher in Wuhan group. The prevalence of diarrhea was higher in non-China group. Patients in severe/intensive care unit group were more likely to have diarrhea, anorexia, abdominal pain increased aspartate aminotransferase, and increased ALT. CONCLUSION: The most significant GI symptoms were anorexia and diarrhea. The most significant abnormal liver function was increased ALT. Severe patients were more likely to have GI symptoms and abnormal liver function.

Development and validation of a nomogram to predict non-response to 5-aminosalicylic acid in patients with ulcerative colitis

Background: there are some patients with ulcerative colitis (UC) who have non-response (NR) to 5-aminosalicylic acid (5-ASA). To promote individualized treatment in UC patients, it is crucial to identify valid predictors to estimate NR to 5-ASA. Therefore, this study aimed to identify the predictive value of clinical and biochemical markers and to construct a nomogram model predicting NR to 5-ASA in patients with UC. Methods: data of patients diagnosed with UC in the First Hospital of China Medical University between January 2012 and December 2020 were retrospectively analyzed. Primary outcome was the proportion of NR to 5-ASA. Multivariable logistic regression was used to construct prediction models. Area under the curve (AUC), calibration and decision curve analyses (DCA) were assessed in the validation cohort. Results: of 284 UC patients who were treatment-naive, 86 (30.3 %) had NR to 5-ASA. Univariate regression analysis showed that disease classification (DC) (p = 0.008), monocytes (MONO) (p = 0.041), platelet distribution width (PDW) (p = 0.027), serum total cholesterol (TC) (p = 0.031) and α1 globulin (p < 0.001) were strongly associated with NR to 5-ASA. Receiver operating characteristics (ROC) analysis indicated the AUC was 0.852, it showed that this model has a good degree of discrimination. The DCA curve showed that the predicted probability is 0.0-96.0 %. Conclusion: this study developed a predictive model with good discrimination and calibration, and high clinical validity, which can effectively estimate the risk of NR to 5-ASA. DC, MONO, PDW, TC and α1 globulin can be used as predictors for NR to 5-ASA in UC patients. (AU)

Impact of SARS-CoV-2 vaccination in inflammatory bowel disease patients with different biological agents: a systematic review and meta-analysis

Background: There are concerns regarding the effect of biological agents on SARS-CoV-2 vaccination in patients with inflammatory bowel disease (IBD). A systematic review and meta-analysis was performed about the serological responses, breakthrough infections and clinical relapse of IBD patients treated with biological agents following SARS-CoV-2 vaccination. Methods: Electronic databases were searched to identify relevant studies. Primary outcomes were the pooled seroconversion rates, breakthrough infection rates and clinical relapse rates after SARS-CoV-2 vaccination in IBD patients treated with biological agents. Secondary outcomes were the comparison of seroconversion rates, breakthrough infection rates and clinical relapse rates in IBD patients treated with biological agents and control cohort after SARS-CoV-2 vaccination. Results: Thirty-five studies were included in this meta-analysis. A high percentage of seroconversion (96.6%, 99% and 99.2%) was achieved in IBD patients treated with anti-TNF-α therapy, vedolizumab and ustekinumab after SARS-CoV-2 vaccination, respectively. The pooled breakthrough infection rate was 2.5% and 3.9% in IBD patients treated with anti-TNF-α therapy and vedolizumab, respectively. The breakthrough infection rate in IBD patients treated with anti-TNF-α therapy was significantly lower than control cohort (RR 0.178, 95% CI 0.084–0.378). The pooled clinical relapse rate in IBD patients treated with anti-TNF-α therapy, vedolizumab and ustekinumab was 6.9%, 5.4% and 5.3%, respectively. Conclusion: The overall seroconversion rate after SARS-CoV-2 vaccination in IBD patients treated with biological agents is high. The overall breakthrough infection rate and clinical relapse rate in IBD patients treated with biological agents were low (AU)