Serological response to vaccination against coronavirus disease-19 in patients with inflammatory bowel disease.

Vaccination against coronavirus disease-19 (COVID-19) is effective in preventing the occurrence or reduction in the severity of the infection. Patients with inflammatory bowel disease (IBD) are on immunomodulators, which may alter serological response to vaccination against COVID-19. Accordingly, we studied (i) the serological response to vaccination against COVID-19 in IBD patients and (ii) a comparison of serological response in IBD patients with that in healthy controls. A prospective study was undertaken during a 6-month period (July 2021 to January 2022). Seroconversion was assessed among vaccinated, unvaccinated IBD patients and vaccinated healthy controls using anti-severe acute respiratory syndrome coronavirus 2 immunoglobulin G (anti-SARS-CoV-2 IgG) antibody detection enzyme-linked immunosorbent assay (ELISA) kit, and optical density (OD) was measured at 450 nm. OD is directly proportional to the antibody concentration. One hundred and thirty-two blood samples were collected from 97 IBD patients (85 [87.6%] ulcerative colitis and 12 [12.4%] Crohn's disease). Forty-one of the seventy-one (57.7%) unvaccinated and 60/61 (98.4%) vaccinated IBD patients tested positive (OD > 0.3) for SARS-CoV-2 IgG antibodies. Fourteen of the sixteen (87.5%) healthy controls tested positive for SARS-CoV-2 IgG antibodies. Vaccinated IBD patients had higher ODs than unvaccinated IBD patients (1.31 [1.09-1.70] vs. 0.53 [0.19-1.32], p < 0.001) and 16 vaccinated healthy controls (1.31 [1.09-1.70] vs. 0.64 [0.43-0.78], p < 0.001). Three of the seventy-one (4.2%) unvaccinated IBD patients reported having recovered from COVID-19. Most IBD patients seroconvert after vaccination against SARS-CoV-2, similar to a healthy population. A large proportion of IBD patients had anti-SARS-CoV-2 antibodies even before vaccination, suggesting the occurrence of herd immunity.

Nocturnal acid breakthrough and esophageal acidification during treatment with dexlansoprazole as compared to omeprazole in patients with gastroesophageal reflux disease.

BACKGROUND: Nocturnal acid breakthrough (NAB) may differ based on duration of proton pump inhibitor (PPI) action and Helicobacter pylori (H. pylori) infection; NAB may influence esophageal acidification (EA) and mucosal damage. Dexlansoprazole, a long-acting PPI, was not compared with omeprazole for NAB, gastric acid suppression, and EA in relation to H. pylori infection. METHODS: In this prospective open-label comparative observational study, gastroesophageal reflux disease (GERD) patients were evaluated using 24-h dual-channel pH-impedance monitoring while on dexlansoprazole (60 mg, n = 39) and omeprazole (20 mg, n = 41) to study the degree of gastric acid suppression, esophageal acid exposure, and NAB (primary outcome measures). H. pylori was detected by rapid urease test and histology. RESULTS: NAB tended to be frequent with omeprazole than dexlansoprazole (33/41 [80.5%] vs. 23/39 [59%]; p = 0.06). Though nocturnal mean esophageal pH was comparable between the dexlansoprazole and omeprazole groups, its duration was less with the former (181.5 [15.2-334.2] vs. 283 [158-366] min, p = 0.03). NAB was as frequent in the H. pylori-infected than the non-infected group (11/19 [57.9%] vs. 45/61 [73.8%]; p = 0.1). The nocturnal gastric and esophageal pH in the H. pylori-infected group was higher than in the non-infected group (4.6 ± 1.7 vs. 4 ± 1.6, p = 0.157; 6.1 ± 0.6 vs. 5.8 ± 0.6, p = 0.128). Dexlansoprazole tended to increase 24-h and nocturnal mean gastric pH among H. pylori-infected more than omeprazole (5.9 ± 1.1 vs. 4.2 ± 1.7, p = 0.023; 5.7 ± 1.2 vs. 3.8 ± 1.5, p = 0.006). CONCLUSION: Dexlansoprazole is more effective than omeprazole in suppressing gastric acid secretion, resulting in lesser EA and NAB, particularly in the presence of H. pylori.

Post-infection functional gastrointestinal disorders following coronavirus disease-19: A case-control study.

BACKGROUND AND AIM: Because acute infectious gastroenteritis may cause post-infection irritable bowel syndrome and functional dyspepsia and the severe acute respiratory syndrome coronavirus-2 affects gastrointestinal (GI) tract, coronavirus disease-19 (COVID-19) may cause post-infection-functional GI disorders (FGIDs). We prospectively studied the frequency and spectrum of post-infection-FGIDs among COVID-19 and historical healthy controls and the risk factors for its development. METHODS: Two hundred eighty patients with COVID-19 and 264 historical healthy controls were followed up at 1 and 3 months using translated validated Rome Questionnaires for the development of chronic bowel dysfunction (CBD), dyspeptic symptoms, and their overlap and at 6-month for IBS, uninvestigated dyspepsia (UD) and their overlap. Psychological comorbidity was studied using Rome III Psychosocial Alarm Questionnaire. RESULTS: At 1 and 3 months, 16 (5.7%), 16 (5.7%), 11 (3.9%), and 24 (8.6%), 6 (2.1%), 9 (3.2%) of COVID-19 patients developed CBD, dyspeptic symptoms, and their overlap, respectively; among healthy controls, none developed dyspeptic symptoms and one developed CBD at 3 months (P < 0.05). At 6 months, 15 (5.3%), 6 (2.1%), and 5 (1.8%) of the 280 COVID-19 patients developed IBS, UD, and IBS-UD overlap, respectively, and one healthy control developed IBS at 6 months (P < 0.05 for all except IBS-UD overlap). The risk factors for post-COVID-19 FGIDs at 6 months included symptoms (particularly GI), anosmia, ageusia, and presence of CBD, dyspeptic symptoms, or their overlap at 1 and 3 months and the psychological comorbidity. CONCLUSIONS: This is the first study showing COVID-19 led to post-COVID-19 FGIDs. Post-COVID-19 FGIDs may pose a significant economic, social, and healthcare burden to the world.

Care of inflammatory bowel disease patients during coronavirus disease-19 pandemic using digital health-care technology.

Background and Aim: Although telemedicine is an option for the care of inflammatory bowel disease (IBD) patients during the Coronavirus Disease (COVID)-19 pandemic, its feasibility and acceptability data are scant. Data on the frequency of COVID-19 among patients with IBD, quality of life (QOL), access to health care, psychological stress, and anxiety during the COVID-19 pandemic are scant. Methods: Video/audio consultation for IBD patients was undertaken after a web-based appointment, and data on acceptability, IBD control, Hospital Anxiety Depression Scale (HADS), and World Health Organization Quality of Life questionnaire (WHOQOL-Bref) were obtained electronically. IBD patients were assessed for COVID-19 symptoms or contact history and tested using reverse transcriptase polymerase chain reaction (RT-PCR) on naso- oro-pharyngeal swabs, and data were compared with 16,317 non-IBD controls. Results: Teleconsultation was feasible and acceptable. IBD patients had COVID-19 as frequently as non-IBD controls despite immunosuppressive therapy, possibly due to their awareness and preventive practices. Although the physical, psychological, and social QOL scores during the COVID-19 pandemic were comparable to the prepandemic period, the environmental scores were worse. Psychological tension and interference with work due to pain were lower during the pandemic, which might be influenced by the control of the disease. Conclusions: Teleconsultation is a feasible and acceptable alternative for IBD patients. They had COVID-19 as frequently as non-IBD controls despite a high frequency of immunosuppressive treatment, possibly due to their awareness of the disease and preventive practices. The QOL scores (except the environmental domains) and psychological issues were quite comparable or even better during the COVID-19 pandemic than earlier.

Prevalence and risk factors for gastroesophageal reflux disease in the Indian population: A meta-analysis and meta-regression study.

BACKGROUND: Indian population-based studies on the prevalence and risk factors for gastroesophageal reflux disease (GERD) are scanty, and a meta-analysis and a meta-regression of prevalence and risk factors based on the existing data have not yet been reported. METHODS: A systematic review of all the available publications from India reporting data regarding prevalence and risk factors of GERD was performed. Heterogeneity was assessed using I2 statistics. The meta-analysis was undertaken to measure the average proportion reported in the existing studies, and meta-regression models were used to explore the risk factors for it. RESULTS: The nine studies included 20,614 subjects; the prevalence of GERD ranged from 5% to 28.5%. The summary effect size (weighted average proportion) estimated by meta-analytic model was 0.1415 (95% confidence interval [CI] 0.099 to 0.197). The results for the test of heterogeneity that included tau2 (0.37, 95% CI 0.21 to 1.80), I2 (98.9%, 95% CI 98.01 to 99.77), and the Q-statistic (707.670; p < 0.0001) suggested high heterogeneity in the effect sizes. The pooled proportion of GERD (random-effects model) was 15.573 (95% CI 11.046 to 20.714). In the meta-regression model, sample size (p = 0.005) explained about 50% of the heterogeneity. CONCLUSION: The pooled prevalence of GERD in the Indian population is 15.6 (95% CI 11.046 to 20.714). The risk factors were age, body mass index (BMI), non-vegetarian diet, tea/coffee intake, tobacco, and alcohol consumption. However, there was significant heterogeneity in the studies.

Prevalence and risk factors of gastroesophageal reflux disease in a rural Indian population.

BACKGROUND: Studies on frequency and risk factors of gastroesophageal reflux disease (GERD) in the rural Indian population are scanty. METHODS: This household survey was undertaken by the trained interviewers in the adult population (≥ 18 years) in four villages in northern India using translated-validated Enhanced Asian Rome III and hospital anxiety and depression questionnaires. RESULTS: Of 2774 subjects, 2019 (72.8%) had no heartburn. Heartburn frequency was as follows: 314 (11.3%) once/week, 143 (5.2%) twice/week, 85 (3.1%) thrice/week, 69 (2.5%) four times/week, 48 (1.7%) five times/week, 18 (0.6%) six times/week, 41 (1.5%) daily, 37 (1.4%) > once daily. A total of 298 (10.7%) had GERD (definition: heartburn > twice/week). Older age (36.5 vs. 35 years), non-Hindu religion (7, 2.4% vs. 30, 1.2%), lower education (127, 42.6% vs. 789, 31.9%), lower socioeconomic class (94, 31.5% vs. 517, 20.9%) and income (below Indian National Rupees [INR] 458; 105, 35.2% vs. 599, 24.2%), non-vegetarian diet (15, 5% vs. 105, 4.2%), intake of tea/coffee (260, 87.2% vs. 1687, 68.1%), carbonated soft drinks (216, 72.5% vs. 1234, 49.8%), and alcohol (48, 16.1% vs. 313, 12.6%), tobacco chewing (116, 38.9% vs. 681, 27.5%), and smoking (105, 35.2% vs. 672, 27.1%) were associated with GERD on univariate analysis. On multivariate analysis, body mass index > 25 kg/m2 (odds ratio [OR] 1.23; 95% CI 0.88-1.71), predominant rice eating (1.13; 0.74-1.74), tobacco chewing and smoking (1.68; 1.24-2.30 and 1.36; 0.99-1.88), and alcohol (1.2; 0.78-1.83) and carbonated soft drinks (2.48; 1.79-3.44) intake were associated with GERD. A total of 122 (41%) had associated functional dyspepsia. Psychological comorbidities were commoner among those with than without GERD. CONCLUSION: In this rural Indian population, 10.7% had GERD and predominant rice eating, tobacco chewing, and carbonated soft drink intake were the risk factors. Psychological comorbidities were common.

Survival analysis: A primer for the clinician scientists.

Survival analysis is a collection of statistical procedures employed on time-to-event data. The outcome variable of interest is time until an event occurs. Conventionally, it dealt with death as the event, but it can handle any event occurring in an individual like disease, relapse from remission, and recovery. Survival data describe the length of time from a time of origin to an endpoint of interest. By time, we mean years, months, weeks, or days from the beginning of being enrolled in the study. The major limitation of time-to-event data is the possibility of an event not occurring in all the subjects during a specific study period. In addition, some of the study subjects may leave the study prematurely. Such situations lead to what is called censored observations as complete information is not available for these subjects. Life table and Kaplan-Meier techniques are employed to obtain the descriptive measures of survival times. The main objectives of survival analysis include analysis of patterns of time-to-event data, evaluating reasons why data may be censored, comparing the survival curves, and assessing the relationship of explanatory variables to survival time. Survival analysis also offers different regression models that accommodate any number of covariates (categorical or continuous) and produces adjusted hazard ratios for individual factor.

Prediction of outcome of treatment of acute severe ulcerative colitis using principal component analysis and artificial intelligence.

BACKGROUND AND AIM: About 15% patients with acute severe ulcerative colitis (UC) fail to respond to medical treatment and may require colectomy. An early prediction of response may help the treating team and the patients and their family to prepare for alternative treatment options. METHODS: Data of 263 patients (mean age 37.0 ± 14.0-years, 176, 77% male) with acute severe UC admitted during a 12-year period were used to study predictors of response using univariate analysis, multivariate linear principal component analysis (PCA), and nonlinear artificial neural network (ANN). RESULTS: Of 263 patients, 231 (87.8%) responded to the initial medical treatment that included oral prednisolone (n = 14, 5.3%), intravenous (IV) hydrocortisone (n = 238, 90.5%), IV cyclosporine (n = 9, 3.4%), and inflixmab (n = 2, 0.7%), and 28 (10.6%) did not respond and the remaining 4 (1.5%) died, all of whom did were also nonresponders. Nonresponding patients had to stay longer in the hospital and died more often. On univariate analysis, the presence of complications, the need for use of cyclosporin, lower Hb, platelets, albumin, serum potassium, and higher C-reactive protein were predictors of nonresponse. Hb and albumin were strong predictive factors on both PCA and ANN. Though the nonlinear modeling using ANN had a good predictive accuracy for the response, its accuracy for predicting nonresponse was lower. CONCLUSION: It is possible to predict the response to medical treatment in patients with UC using linear and nonlinear modeling technique. Serum albumin and Hb are strong predictive factors.

The Spectrum of Gastrointestinal Symptoms in Patients With Coronavirus Disease-19: Predictors, Relationship With Disease Severity, and Outcome.

INTRODUCTION: We prospectively studied the frequency, spectrum, and predictors of gastrointestinal (GI) symptoms among patients with coronavirus disease-19 (COVID-19) and the relationship between GI symptoms and the severity and outcome. METHODS: Consecutive patients with COVID-19, diagnosed in a university hospital referral laboratory in northern India, were evaluated for clinical manifestations including GI symptoms, their predictors, and the relationship between the presence of these symptoms, disease severity, and outcome on univariate and multivariate analyses. RESULTS: Of 16,317 subjects tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in their oropharyngeal and nasopharyngeal swabs during April-May 2020, 252 (1.5%) were positive. Of them, 208 (82.5%) were asymptomatic; of the 44 symptomatic patients, 18 (40.9%) had non-GI symptoms, 15 (34.1%) had a combination of GI and non-GI symptoms, and 11 (25.0%) had GI symptoms only. Thirty-three had mild-to-moderate disease, 8 severe, and 5 critical. Five patients (1.98%) died. On multivariate analysis, the factors associated with the presence of GI symptoms included the absence of contact history and presence of non-GI symptoms and comorbid illnesses. Patients with GI synptoms more often had severe, critical illness and fatal outcome than those without GI symptoms. DISCUSSION: Eighty-two percent of patients with COVID-19 were asymptomatic, and 10.3% had GI symptoms; severe and fatal disease occurred only in 5% and 2%, respectively. The presence of GI symptoms was associated with a severe illness and fatal outcome on multivariate analysis. Independent predictors of GI symptoms included the absence of contact history, presence of non-GI symptoms, and comorbid illnesses.(Equation is included in full-text article.).

A meta-analysis on small intestinal bacterial overgrowth in patients with different subtypes of irritable bowel syndrome.

BACKGROUND: Enteric microbiota is increasingly being recognized as an important factor in the pathogenesis of irritable bowel syndrome (IBS). The reported prevalence of small intestinal bacterial overgrowth (SIBO) in subjects with IBS is highly variable, and there is no consensus on the role of SIBO in different subtypes of IBS, and indications and methods of testing. METHODS: A comprehensive literature search was performed for studies applying tests for SIBO in subjects with IBS. After applying prospectively decided exclusion criteria, the eligible papers were examined using a meta-analysis approach for the prevalence of SIBO in subjects with IBS using different tests. The odds ratios of SIBO among subjects with IBS as compared with healthy controls using different tests were calculated. RESULTS: Of the available studies (22, 17, 5, and 3 using lactulose and glucose hydrogen breath tests [LHBT and GHBT], jejunal aspirate culture, and more than one tests, respectively) meeting the inclusion criteria, 36.7% (95% confidence interval [CI] 24.2-44.6) had a positive test for SIBO. Patients with IBS were 2.6 (95% CI 1.3-6.9) and 8.3 (95% CI 3.0-5.9) times more likely to have a positive test for SIBO as compared with healthy controls using GHBT and jejunal aspirate culture, respectively. Patients with diarrhea-predominant IBS were more likely to have positive GHBT as compared with the other subtypes. CONCLUSIONS: Patients with IBS were more likely to have SIBO as compared with healthy subjects using GHBT and jejunal aspirate culture but not using LHBT. Patients with diarrhea-predominant IBS more often have SIBO.