scholarly journals Mo1816 – Prediction of Endoscopic Activity in Patients with Crohn’s Disease – Systematic Review and External Validation of Published Prediction Models

2019 ◽  
Vol 156 (6) ◽  
pp. S-848
Author(s):  
Eelco C. Brand ◽  
Sjoerd G. Elias ◽  
Itta M. Minderhoud ◽  
Julius J. van der Veen ◽  
Filip J. Baert ◽  
...  
2019 ◽  
Vol 13 (Supplement_1) ◽  
pp. S338-S339
Author(s):  
E C Brand ◽  
S G Elias ◽  
I M Minderhoud ◽  
J J van der Veen ◽  
F Baert ◽  
...  

2020 ◽  
Vol 18 (8) ◽  
pp. 1704-1718 ◽  
Author(s):  
Eelco C. Brand ◽  
Sjoerd G. Elias ◽  
Itta M. Minderhoud ◽  
Julius J. van der Veen ◽  
Filip J. Baert ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1445
Author(s):  
Andromachi Kotsafti ◽  
Melania Scarpa ◽  
Imerio Angriman ◽  
Ignazio Castagliuolo ◽  
Antonino Caruso

Perianal fistulizing Crohn’s disease is a very disabling condition with poor quality of life. Patients with perianal fistulizing Crohn’s disease are also at risk of perianal fistula-related squamous cell carcinoma (SCC). Cancer arising at the site of a chronic perianal fistula is rare in patients with Crohn’s disease and there is a paucity of data regarding its incidence, diagnosis and management. A systematic review of the literature was undertaken using Medline, Embase, Pubmed, Cochrane and Web of Science. Several small series have described sporadic cases with perianal cancer in Crohn’s disease. The incidence rate of SCC related to perianal fistula was very low (<1%). Prognosis was poor. Colorectal disease, chronic perianal disease and HPV infection were possible risk factors. Fistula-related carcinoma in CD (Chron’s disease) can be very difficult to diagnose. Examination may be limited by pain, strictures and induration of the perianal tissues. HPV is an important risk factor with a particular carcinogenesis mechanism. MRI can help clinicians in diagnosis. Examination under anesthesia is highly recommended when findings, a change in symptoms, or simply long-standing disease in the perineum are present. Future studies are needed to understand the role of HPV vaccination in preventing fistula-related cancer.


2021 ◽  
Author(s):  
Patricia Pauline M. Remalante-Rayco ◽  
Evelyn Osio-Salido

Objective. To assess the performance of prognostic models in predicting mortality or clinical deterioration among patients with COVID-19, both hospitalized and non-hospitalized Methods. We conducted a systematic review of the literature until March 8, 2021. We included models for the prediction of mortality or clinical deterioration in COVID-19 with external validation. We used the Prediction model Risk Of Bias ASsessment Tool (PROBAST) and the GRADEpro Guideline Development Tool (GDT) to assess the evidence obtained. Results. We reviewed 33 cohort studies. Two studies had a low risk of bias, four unclear risks, and 27 with a high risk of bias due to participant selection and analysis. For the outcome of mortality, the QCOVID model had excellent prediction with high certainty of evidence but was specific for use in England. The COVID Outcome Prediction in the Emergency Department (COPE) model, the 4C Mortality Score, the Age, BUN, number of comorbidities, CRP, SpO2/FiO2 ratio, platelet count, heart rate (ABC2-SPH) risk score, the Confusion Urea Respiration Blood Pressure (CURB-65) severity score, the Rapid Emergency Medicine Score (REMS), and the Risk Stratification in the Emergency Department in Acutely Ill Older Patients (RISE UP) score had fair to good prediction of death among inpatients, while the quick Sepsis-related Organ Failure Assessment (qSOFA) score had poor to fair prediction. The certainty of evidence for these models was very low to low. For the outcome of clinical deterioration, the 4C Deterioration Score had fair prediction, the National Early Warning Score 2 (NEWS2) score poor to good, and the Modified Early Warning Score (MEWS) had poor prediction. The certainty of evidence for these three models was also very low to low. None of these models had been validated in the Philippine setting. Conclusion. The QCOVID, COPE, ABC2-SPH, 4C, CURB-65, REMS, RISE-UP models for prediction of mortality and the 4C Deterioration and NEWS2 models for prediction of clinical deterioration are potentially useful but need to be validated among patients with COVID-19 of varying severity in the Philippine setting.


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