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A Simple Pre-endoscopy Score for Predicting Risk of Malignancy in Patients with Dyspepsia: A 5-Year Prospective Study

Background The guidelines for performing endoscopy in dyspeptic patients based on clinical parameters alone have shown variable performance, and there is a need for better prediction tools. Aim We aimed to prospectively develop and validate a simple clinical-cum-laboratory test-based scoring model t...

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Bibliographic Details
Published in:Digestive diseases and sciences 2018-12, Vol.63 (12), p.3442-3447
Main Authors: Dutta, Amit Kumar, Rebekah, Grace, Chowdhury, Sudipta Dhar, Gangadharan, Sajith Kattiparambil, Subramani, Yuvaraj, Sahu, Manoj Kumar, Kurien, Reuben Thomas, David, Deepu, Simon, Ebby George, Joseph, Anjilivelil Joseph, Donapati, Viswanath Reddy, Chacko, Ashok
Format: Article
Language:English
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Summary:Background The guidelines for performing endoscopy in dyspeptic patients based on clinical parameters alone have shown variable performance, and there is a need for better prediction tools. Aim We aimed to prospectively develop and validate a simple clinical-cum-laboratory test-based scoring model to identify dyspeptic patients with high risk of upper gastrointestinal malignancy (UGIM). Methods Adult patients with dyspeptic symptoms were prospectively recruited over 5 years. Clinical details including alarm features were recorded, and blood tests for hemoglobin and albumin were done before endoscopy. The presence of UGIM was the primary outcome. Risk factors for UGIM were assessed, and based on the OR of significant factors, a predictive scoring model was constructed. ROC curve was plotted to identify optimal cutoff score. The model was validated using bootstrapping technique. Results The study included 2324 patients (41.9 ± 12.8 years; 33.4% females). UGIM was noted in 6.8% patients. The final model had following five positive predictors for UGIM—age > 40 years (OR 3.3, score 1); albumin ≤  3 .5 g% (OR 3.4, score 1); Hb ≤ 11 g% (OR 3.3, score 1); alarm features (OR 5.98, score 2); recent onset of symptoms (OR 8.7, score 3). ROC curve had an impressive AUC of 0.9 (0.88–0.93), and a score of 2 had 92.5% sensitivity in predicting UGIM. Validation by bootstrapping showed zero bias, which further strengthened our model. Conclusion This simple clinical-cum-laboratory test-based model performed very well in identifying dyspeptic patients at risk of UGIM. This can serve as a useful decision-making tool for referral for endoscopy.
ISSN:0163-2116
1573-2568
DOI:10.1007/s10620-018-5245-7