Correction: Corticosteroid Use and Complications in a US Inflammatory Bowel Disease Cohort.
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ABSTRACT:
SUBMITTER: Waljee AK
PROVIDER: S-EPMC5942839 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Publications
Correction: Corticosteroid Use and Complications in a US Inflammatory Bowel Disease Cohort.
Waljee Akbar K AK Wiitala Wyndy L WL Govani Shail S Stidham Ryan R Saini Sameer S Hou Jason J Feagins Linda A LA Khan Nabeel N Good Chester B CB Vijan Sandeep S Higgins Peter D R PDR
PloS one 20180509 5
[This corrects the article DOI: 10.1371/journal.pone.0158017.]. ...[more]
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Project description:Background and aimsCorticosteroids are effective for the short-term treatment of inflammatory bowel disease (IBD). Long-term use, however, is associated with significant adverse effects. To define the: (1) frequency and duration of corticosteroid use, (2) frequency of escalation to corticosteroid-sparing therapy, (3) rate of complications related to corticosteroid use, (4) rate of appropriate bone density measurements (dual energy X-ray absorptiometry [DEXA] scans), and (5) factors associated with escalation and DEXA scans.MethodsRetrospective review of Veterans Health Administration (VHA) data from 2002-2010.ResultsOf the 30,456 Veterans with IBD, 32% required at least one course of corticosteroids during the study time period, and 17% of the steroid users had a prolonged course. Among these patients, only 26.2% underwent escalation of therapy. Patients visiting a gastroenterology (GI) physician were significantly more likely to receive corticosteroid-sparing medications. Factors associated with corticosteroid-sparing medications included younger age (OR = 0.96 per year,95%CI:0.95, 0.97), male gender (OR = 2.00,95%CI:1.16,3.46), GI visit during the corticosteroid evaluation period (OR = 8.01,95%CI:5.85,10.95) and the use of continuous corticosteroids vs. intermittent corticosteroids (OR = 2.28,95%CI:1.33,3.90). Rates of complications per 1000 person-years after IBD diagnosis were higher among corticosteroid users (venous thromboembolism [VTE] 9.0%; fragility fracture 2.6%; Infections 54.3) than non-corticosteroid users (VTE 4.9%; fragility fracture 1.9%; Infections 26.9). DEXA scan utilization rates among corticosteroid users were only 7.8%.ConclusionsProlonged corticosteroid therapy for the treatment of IBD is common and is associated with significant harm to patients. Patients with prolonged use of corticosteroids for IBD should be referred to gastroenterology early and universal efforts to improve the delivery of high quality care should be undertaken.
| S-EPMC4918923 | biostudies-literature
Project description:IntroductionPrevious work had shown that machine learning models can predict inflammatory bowel disease (IBD)-related hospitalizations and outpatient corticosteroid use based on patient demographic and laboratory data in a cohort of United States Veterans. This study aimed to replicate this modeling framework in a nationally representative cohort.MethodsA retrospective cohort design using Optum Electronic Health Records (EHR) were used to identify IBD patients, with at least 12 months of follow-up between 2007 and 2018. IBD flare was defined as an inpatient/emergency visit with a diagnosis of IBD or an outpatient corticosteroid prescription for IBD. Predictors included demographic and laboratory data. Logistic regression and random forest (RF) models were used to predict IBD flare within 6 months of each visit. A 70% training and 30% validation approach was used.ResultsA total of 95,878 patients across 780,559 visits were identified. Of these, 22,245 (23.2%) patients had at least one IBD flare. Patients were predominantly White (87.7%) and female (57.1%), with a mean age of 48.0 years. The logistic regression model had an area under the receiver operating curve (AuROC) of 0.66 (95% CI: 0.65-0.66), sensitivity of 0.69 (95% CI: 0.68-0.70), and specificity of 0.74 (95% CI: 0.73-0.74) in the validation cohort. The RF model had an AuROC of 0.80 (95% CI: 0.80-0.81), sensitivity of 0.74 (95% CI: 0.73-0.74), and specificity of 0.72 (95% CI: 0.72-0.72) in the validation cohort. Important predictors of IBD flare in the RF model were the number of previous flares, age, potassium, and white blood cell count.ConclusionThe machine learning modeling framework was replicated and results showed a similar predictive accuracy in a nationally representative cohort of IBD patients. This modeling framework could be embedded in routine practice as a tool to distinguish high-risk patients for disease activity.
| S-EPMC8452029 | biostudies-literature
Project description:Background:Inflammatory bowel disease (IBD) is a chronic disease characterized by unpredictable episodes of flares and periods of remission. Tools that accurately predict disease course would substantially aid therapeutic decision-making. This study aims to construct a model that accurately predicts the combined end point of outpatient corticosteroid use and hospitalizations as a surrogate for IBD flare. Methods:Predictors evaluated included age, sex, race, use of corticosteroid-sparing immunosuppressive medications (immunomodulators and/or anti-TNF), longitudinal laboratory data, and number of previous IBD-related hospitalizations and outpatient corticosteroid prescriptions. We constructed models using logistic regression and machine learning methods (random forest [RF]) to predict the combined end point of hospitalization and/or corticosteroid use for IBD within 6 months. Results:We identified 20,368 Veterans Health Administration patients with the first (index) IBD diagnosis between 2002 and 2009. Area under the receiver operating characteristic curve (AuROC) for the baseline logistic regression model was 0.68 (95% confidence interval [CI], 0.67-0.68). AuROC for the RF longitudinal model was 0.85 (95% CI, 0.84-0.85). AuROC for the RF longitudinal model using previous hospitalization or steroid use was 0.87 (95% CI, 0.87-0.88). The 5 leading independent risk factors for future hospitalization or steroid use were age, mean serum albumin, immunosuppressive medication use, and mean and highest platelet counts. Previous hospitalization and corticosteroid use were highly predictive when included in specified models. Conclusions:A novel machine learning model substantially improved our ability to predict IBD-related hospitalization and outpatient steroid use. This model could be used at point of care to distinguish patients at high and low risk for disease flare, allowing individualized therapeutic management.
| S-EPMC5931801 | biostudies-literature
Project description:BackgroundTo date, studies investigating the inflammatory bowel disease (IBD) patient experience with coronavirus disease 2019 (COVID-19) have consistently reported that the observed rate of COVID-19 within this population is similar to the general population. Limited research has suggested that corticosteroid use in the IBD population may be associated with worse COVID-19 outcomes, but it is still yet to be determined if specific IBD-related clinical factors are associated with worse outcomes. Our goal was to describe clinical COVID-19 outcomes for IBD patients and to identify the clinical factors that may be associated with worse outcomes.MethodsIn this retrospective study, we utilized the inpatient database within the largest hospital network in the New York City Metropolitan area to identify all IBD patients with confirmed COVID-19.ResultsOf 83 IBD/COVID-19 patients presenting to a hospital network emergency room, 56 were hospitalized. Overall, 19.6% of hospitalized IBD patients died, compared with 22.2% of all hospital system COVID-19 patients during the time period. There was no association between pre-admission corticosteroid use or biologic treatment with a severe course of COVID-19.ConclusionsIn contrast to some prior reports, we did not observe an association of pre-admission corticosteroid use and adverse outcomes. While the mortality rate was high for IBD/COVID-19 patients, it was not greater than that for hospitalized COVID-19 patients generally. Though our results are encouraging, we continue to support the recommendations of the leading gastrointestinal and IBD societies to regard our patients as "at risk", and to observe caution in their care.
| S-EPMC8734496 | biostudies-literature
Project description:Inflammatory Bowel Disease (IBD) is a progressive disease of the gut and consists of two types, Crohn’s Disease (CD) and Ulcerative Colitis (UC). It is a complex disease involving genetic, microbial, and environmental factors. The incidence of IBD is steadily increasing and current therapeutic options are plateauing. Thus treatments are evolving to 1. deeper levels of remission from clinical to endoscopic and histologic normalization and 2. Embrace novel targets or drug combinations. We explored whole transcriptome data generated in biopsy specimens sampled from a large cohort of adult IBD and control subjects to provide 1. a granular, objective and sensitive molecular measures of disease activity in the gut and 2. Novel molecular mechanisms and biomarkers underlying IBD pathology.
2022-09-16 | GSE193677 | GEO
Project description:Inflammatory Bowel Disease (IBD) is a progressive disease of the gut and consists of two types, Crohn’s Disease (CD) and Ulcerative Colitis (UC). It is a complex disease involving genetic, microbial, and environmental factors. The incidence of IBD is steadily increasing and current therapeutic options are plateauing. Thus treatments are evolving to 1. deeper levels of remission from clinical to endoscopic and histologic normalization and 2. Embrace novel targets or drug combinations. We explored whole transcriptome data generated in blood specimens sampled from a large cohort of adult IBD and control subjects to provide 1. a granular, objective and sensitive molecular measures of disease activity in the gut and 2. Novel molecular mechanisms and biomarkers underlying IBD pathology.
2022-09-16 | GSE186507 | GEO
Project description:Azathioprine (AZA) and 6-mercaptopurine (6-MP) are the most widely used immunosuppressive therapies in inflammatory bowel disease. Pretreatment measurement of thiopurine methyltransferase (TPMT) activity is recommended and although conventional practice is to use a dose of 2 mg/kg AZA (1 mg/kg 6-MP), higher doses of 2.5 mg/kg AZA or more may be required in some patients, particularly if TPMT activity is high. Dose raising is limited by toxicity, and a robust monitoring system is mandatory. Patients with side effects to AZA may tolerate 6-MP but pancreatitis is a contraindication to switching. Metabolite monitoring is not widely available but may be useful, particularly if non-compliance is possible or where metabolite shunting to 6-methylmercaptopurine is suspected, on the basis of non-response or toxicity. It may allow dose optimisation before switching to alternative immunosuppressants. The drug appears safe in pregnancy and breast feeding. Long term duration of therapy is a balance between benefits in relation to the underlying disease extent, activity and aggressiveness, and the risk of neoplasia, particularly lymphoma.
| S-EPMC5517153 | biostudies-other
Project description:Expression profiling of human colon mucosa samples aquired from inflammatory bowel disease patients and healthy controls. Expression profiling was done using Illumina Human HT-12 arrays, and data analysis was performed using tools from the Bioconductor package
2012-09-12 | E-MTAB-184 | biostudies-arrayexpress
Project description:Samples for microarray analysis were derived from terminal ileum and colonic tissues from probands with Crohn´s disease and Ulcerative Colitis and control patients, respectively. IBD tissue biopsies from non-inflamed regions 10 cm distant from pathological areas were selected. To minimize inter-individual differences in gene expression and to enrich for IBD-specific transcriptional events, 2.5 µg of total RNA from terminal ileum and colon transversum from four individuals of each patient and control group were used for pooling. Keywords = IBD Keywords = Crohn´s disease Keywords = Ulcerative Colitis Keywords: other
2004-04-20 | GSE1152 | GEO
Project description:BackgroundData on opioid use in patients with inflammatory bowel disease and the relationship between disease, opioid use, and healthcare resource utilization are needed.MethodsThis analysis of real-world data from IBM Watson Health Commercial Claims and Encounters Database included patients with the first claim of inflammatory bowel disease (IBD) between 2007 and 2014.ResultsOpioid use was higher in patients with IBD than in the matched non-IBD cohort. Adjusted for age, gender, and Charlson Comorbidity Index score, inpatient and emergency room visits risk was higher in opioid users than non-users in both IBD cohorts.ConclusionsOpioid use could be a potential surrogate for inadequate disease control manifested by increased inpatient and emergency room visit risks. These results suggest a need exists for better disease management and the development of an outcomes measurement tool for IBD pain.
| S-EPMC9802313 | biostudies-literature