CastorEDC API:A Python Package for Managing Real World Data in Castor Electronic Data Capture

Real world data is being used increasingly in medical research. Castor Electronic Data Capture is a secure and user-friendly platform for managing study data. Integrating data from several databases into a single Castor database is complex. We developed CastorEDC API, a free and open source Python package which can be used to interact with the API of Castor, and through which data can be imported from multiple sources into a Castor database. The importer reads, cleans, validates and imports data while accounting for differences in column structure and variable coding between databases.</p

CastorEDC API:A Python Package for Managing Real World Data in Castor Electronic Data Capture

Real world data is being used increasingly in medical research. Castor Electronic Data Capture is a secure and user-friendly platform for managing study data. Integrating data from several databases into a single Castor database is complex. We developed CastorEDC API, a free and open source Python package which can be used to interact with the API of Castor, and through which data can be imported from multiple sources into a Castor database. The importer reads, cleans, validates and imports data while accounting for differences in column structure and variable coding between databases.</p

CastorEDC API: A Python Package for Managing Real World Data in Castor Electronic Data Capture

Real world data is being used increasingly in medical research. Castor Electronic Data Capture is a secure and user-friendly platform for managing study data. Integrating data from several databases into a single Castor database is complex. We developed CastorEDC API, a free and open source Python package which can be used to interact with the API of Castor, and through which data can be imported from multiple sources into a Castor database. The importer reads, cleans, validates and imports data while accounting for differences in column structure and variable coding between databases. https://github.com/reiniervlinschoten/castoredc_api

Validity of the self-administered comorbidity questionnaire in patients with inflammatory bowel disease

Background: The International Consortium for Health Outcomes Measurement has selected the self-administered comorbidity questionnaire (SCQ) to adjust case-mix when comparing outcomes of inflammatory bowel disease (IBD) treatment between healthcare providers. However, the SCQ has not been validated for use in IBD patients. Objectives: We assessed the validity of the SCQ for measuring comorbidities in IBD patients. Design: Cohort study. Methods: We assessed the criterion validity of the SCQ for IBD patients by comparing patient-reported and clinician-reported comorbidities (as noted in the electronic health record) of the 13 diseases of the SCQ using Cohen’s kappa. Construct validity was assessed using the Spearman correlation coefficient between the SCQ and the Charlson Comorbidity Index (CCI), clinician-reported SCQ, quality of life, IBD-related healthcare and productivity costs, prevalence of disability, and IBD disease activity. We assessed responsiveness by correlating changes in the SCQ with changes in healthcare costs, productivity costs, quality of life, and disease activity after 15 months. Results: We included 613 patients. At least fair agreement (κ &gt; 0.20) was found for most comorbidities, but the agreement was slight (κ &lt; 0.20) for stomach disease [κ = 0.19, 95% CI (−0.03; 0.41)], blood disease [κ = 0.02, 95% CI (−0.06; 0.11)], and back pain [κ = 0.18, 95% CI (0.11; 0.25)]. Correlations were found between the SCQ and the clinician-reported SCQ [ρ = 0.60, 95% CI (0.55; 0.66)], CCI [ρ = 0.39, 95% CI (0.31; 0.45)], the prevalence of disability [ρ = 0.23, 95% CI (0.15; 0.32)], and quality of life [ρ = −0.30, 95% CI (−0.37; −0.22)], but not between the SCQ and healthcare or productivity costs or disease activity (|ρ| ⩽ 0.2). A change in the SCQ after 15 months was not correlated with a change in any of the outcomes.Conclusion: The SCQ is a valid tool for measuring comorbidity in IBD patients, but face and content validity should be improved before being used to correct case-mix differences.</p

Clinical management of chronic mesenteric ischemia

This: This Dutch Mesenteric Ischemia Study group consists of: Ron Balm, Academic Medical Center, Amsterdam Gert Jan de Borst, University Medical Center Utrecht, Utrecht Juliette T Blauw, Medisch Spectrum Twente, Enschede Marco J Bruno, Erasmus MC University Medical Center, Rotterdam Olaf J Bakker, St Antonius Hospital, Nieuwegein Louisa JD van Dijk, Erasmus MC University Medical Center, Rotterdam Hessel CJL Buscher, Gelre Hospitals, Apeldoorn Bram Fioole, Maasstad Hospital, Rotterdam Robert H Geelkerken, Medisch Spectrum Twente, Enschede Jaap F Hamming, Leiden University Medical Center, Leiden Jihan Harki, Erasmus MC University Medical Center, Rotterdam Daniel AF van den Heuvel, St Antonius Hospital, Nieuwegein Eline S van Hattum, University Medical Center Utrecht, Utrecht Jan Willem Hinnen, Jeroen Bosch Hospital, ‘s-Hertogenbosch Jeroen J Kolkman, Medisch Spectrum Twente, Enschede Maarten J van der Laan, University Medical Center Groningen, Groningen Kaatje Lenaerts, Maastricht University Medical Center, Maastricht Adriaan Moelker, Erasmus MC University Medical Center, Rotterdam Desirée van Noord, Franciscus Gasthuis & Vlietland, Rotterdam Maikel P Peppelenbosch, Erasmus MC University Medical Center, Rotterdam André S van Petersen, Bernhoven Hospital, Uden Pepijn Rijnja, Medisch Spectrum Twente, Enschede Peter J van der Schaar, St Antonius Hospital, Nieuwegein Luke G Terlouw, Erasmus MC University Medical Center, Rotterdam Hence JM Verhagen, Erasmus MC University Medical Center, Rotterdam Jean Paul PM de Vries, University Medical Center Groningen, Groningen Dammis Vroegindeweij, Maasstad Hospital, Rotterdam review provides an overview on the clinical management of chronic mesenteric ischemia (CMI). CMI is defined as insufficient blood supply to the gastrointestinal tract, most often caused by atherosclerotic stenosis of one or more mesenteric arteries. Patients classically present with postprandial abdominal pain and weight loss. However, patients may present with, atypically, symptoms such as abdominal discomfort, nausea, vomiting, diarrhea or constipation. Early consideration and diagnosis of CMI is important to timely treat, to improve quality of life and to prevent acute-on-chronic mesenteric ischemia. The diagnosis of CMI is based on the triad of clinical symptoms, radiological evaluation of the mesenteric vasculature and if available, functional assessment of mucosal ischemia. Multidisciplinary consensus on the diagnosis of CMI is of paramount importance to adequately select patients for treatment. Patients with a consensus diagnosis of single-vessel or multi-vessel atherosclerotic CMI are preferably treated with endovascular revascularization

Mesenteric artery calcium scoring: a potential screening method for chronic mesenteric ischemia

Objective : A practical screening tool for chronic mesenteric ischemia (CMI) could facilitate early recognition and reduce undertreatment and diagnostic delay. This study explored the ability to discriminate CMI from non-CMI patients with a mesenteric artery calcium score (MACS). Methods : This retrospective study included CTAs of consecutive patients with suspected CMI in a tertiary referral center between April 2016 and October 2019. A custom-built software module, using the Agatston definition, was developed and used to calculate the MACS for the celiac artery (CA), superior mesenteric artery (SMA), and inferior mesenteric artery. Scoring was performed by two blinded observers. Interobserver agreement was determined using 39 CTAs scored independently by both observers. CMI was defined as sustained symptom improvement after treatment. Non-CMI patients were patients not diagnosed with CMI after a diagnostic workup and patients not responding to treatment. Results : The MACS was obtained in 184 patients, 49 CMI and 135 non-CMI. Interobserver agreement was excellent (intraclass correlation coefficient 0.910). The MACS of all mesenteric arteries was significantly higher in CMI patients than in non-CMI patients. ROC analysis of the combined MACS of CA + SMA showed an acceptable AUC (0.767), high sensitivity (87.8%), and high NPV (92.1%), when using a ≥ 29.7 CA + SMA MACS cutoff. Comparison of two CTAs, obtained in the same patient at different points in time with different scan and reconstruction parameters, was performed in 29 patients and revealed significant differences in MACSs. Conclusion : MACS seems a promising screening method for CMI, but correction for scan and reconstruction parameters is warranted. Key Points: • A mesenteric artery calcium score obtained in celiac artery and superior mesenteric artery has a high negative predictive value for chronic mesenteric ischemia and could serve as a screening tool. • Interobserver agreement of the mesenteric artery calcium score is excellent. • Scan and reconstruction parameters influence the mesenteric artery calcium score and warrant the development of a method to correct for these parameters

Early risk stratification of patients with suspected chronic mesenteric ischaemia using a symptom and mesenteric artery calcium score based score chart

Background: The mesenteric artery calcium score (MACS) identifies patients with possible chronic mesenteric ischaemia (CMI) using standard computed tomography (CT) imaging. The MACS does not necessitate a dedicated computed tomography angiography (CTA) which is required for evaluation of mesenteric artery patency. This study aimed to test the use of a symptom and MACS based score chart to facilitate the selection of patients with a low probability of CMI, in whom further diagnostic workup can be omitted, and to validate the CTA-based score chart proposed by van Dijk et al. which guides treatment decisions in patients with suspected CMI. Methods: This retrospective study included consecutive patients with suspected CMI. The Agatston definition was used to calculate the MACS. Multivariable logistic regression analysis was used to create a MACS score chart, which was applied in all patients to determine its discriminative ability. The score chart by van Dijk et al. was validated in this independent external patient series. Results: Hundred-ninety-two patients were included, of whom 49 had CMI. The MACS score chart composed of the variables weight loss, postprandial abdominal pain, history of cardiovascular disease, and MACS, showed an excellent discriminative ability (area under the curve [AUC] 0.87). CMI risks were 2.1% in the low-risk group (0–4 points) and 39.1% in the increased risk group (5–10 points); sensitivity (97.8%) and negative predictive value (NPV; 97.9%) were high. The CTA-based score chart by van Dijk et al. showed an excellent discriminative ability (AUC 0.89). Conclusion: The MACS score chart shows promise for early risk stratification of patients with suspected CMI based on a near-perfect NPV. It is complementary to the CTA-based score chart by van Dijk et al., which showed excellent external validity and is well suited to guide subsequent (invasive) treatment decisions in patients with suspected CMI

Early risk stratification of patients with suspected chronic mesenteric ischaemia using a symptom and mesenteric artery calcium score based score chart

BACKGROUND: The mesenteric artery calcium score (MACS) identifies patients with possible chronic mesenteric ischaemia (CMI) using standard computed tomography (CT) imaging. The MACS does not necessitate a dedicated computed tomography angiography (CTA) which is required for evaluation of mesenteric artery patency. This study aimed to test the use of a symptom and MACS based score chart to facilitate the selection of patients with a low probability of CMI, in whom further diagnostic workup can be omitted, and to validate the CTA‐based score chart proposed by van Dijk et al. which guides treatment decisions in patients with suspected CMI. METHODS: This retrospective study included consecutive patients with suspected CMI. The Agatston definition was used to calculate the MACS. Multivariable logistic regression analysis was used to create a MACS score chart, which was applied in all patients to determine its discriminative ability. The score chart by van Dijk et al. was validated in this independent external patient series. RESULTS: Hundred‐ninety‐two patients were included, of whom 49 had CMI. The MACS score chart composed of the variables weight loss, postprandial abdominal pain, history of cardiovascular disease, and MACS, showed an excellent discriminative ability (area under the curve [AUC] 0.87). CMI risks were 2.1% in the low‐risk group (0–4 points) and 39.1% in the increased risk group (5–10 points); sensitivity (97.8%) and negative predictive value (NPV; 97.9%) were high. The CTA‐based score chart by van Dijk et al. showed an excellent discriminative ability (AUC 0.89). CONCLUSION: The MACS score chart shows promise for early risk stratification of patients with suspected CMI based on a near‐perfect NPV. It is complementary to the CTA‐based score chart by van Dijk et al., which showed excellent external validity and is well suited to guide subsequent (invasive) treatment decisions in patients with suspected CMI