1.Familial aggregation of inflammatory bowel disease in patients with ulcerative colitis.
Akshita GUPTA ; Sawan BOPANNA ; Saurabh KEDIA ; Dawesh Prakash YADAV ; Sandeep GOYAL ; Saransh JAIN ; Govind MAKHARIA ; Vineet AHUJA
Intestinal Research 2017;15(3):388-394
BACKGROUND/AIMS: Familial occurrence of inflammatory bowel disease (IBD) is well documented. Reports from Western countries have shown a higher familial occurrence of ulcerative colitis (UC) in first- and second-degree relatives than that in the Asian UC population. No data are currently available from the Indian subcontinent in this regard. We present our data on the familial aggregation of UC. METHODS: Records of patients with UC followed at the Inflammatory Bowel Disease Clinic at the All India Institute of Medical Sciences, New Delhi from August 2004 to January 2016 were reviewed. Details regarding the prevalence of family history and characteristics of these patients were recorded. Affected family members were contacted and disease characteristics were noted for assessment of familial aggregation. RESULTS: Of the 2,058 UC patients included in the analysis, a positive family history of IBD was confirmed in 31 patients (1.5%), 24 (77.4%) of whom had only first-degree relatives affected. All the affected relatives had UC and none had Crohn's disease. Among first-degree relatives, siblings were found to have the highest prevalence of IBD (53.3%), followed by parents (26.7%). CONCLUSIONS: The probability of occurrence of IBD in family members of affected North Indian UC patients is lower than that reported in Western populations.
Asian Continental Ancestry Group
;
Colitis, Ulcerative*
;
Crohn Disease
;
Humans
;
India
;
Inflammatory Bowel Diseases*
;
Medical History Taking
;
Parents
;
Prevalence
;
Siblings
;
Ulcer*
2.Accuracy of computed tomographic features in differentiating intestinal tuberculosis from Crohn's disease: a systematic review with meta-analysis.
Saurabh KEDIA ; Raju SHARMA ; Vishnubhatla SREENIVAS ; Kumble Seetharama MADHUSUDHAN ; Vishal SHARMA ; Sawan BOPANNA ; Venigalla PRATAP MOULI ; Rajan DHINGRA ; Dawesh Prakash YADAV ; Govind MAKHARIA ; Vineet AHUJA
Intestinal Research 2017;15(2):149-159
Abdominal computed tomography (CT) can noninvasively image the entire gastrointestinal tract and assess extraintestinal features that are important in differentiating Crohn's disease (CD) and intestinal tuberculosis (ITB). The present meta-analysis pooled the results of all studies on the role of CT abdomen in differentiating between CD and ITB. We searched PubMed and Embase for all publications in English that analyzed the features differentiating between CD and ITB on abdominal CT. The features included comb sign, necrotic lymph nodes, asymmetric bowel wall thickening, skip lesions, fibrofatty proliferation, mural stratification, ileocaecal area, long segment, and left colonic involvements. Sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio (DOR) were calculated for all the features. Symmetric receiver operating characteristic curve was plotted for features present in >3 studies. Heterogeneity and publication bias was assessed and sensitivity analysis was performed by excluding studies that compared features on conventional abdominal CT instead of CT enterography (CTE). We included 6 studies (4 CTE, 1 conventional abdominal CT, and 1 CTE+conventional abdominal CT) involving 417 and 195 patients with CD and ITB, respectively. Necrotic lymph nodes had the highest diagnostic accuracy (sensitivity, 23%; specificity, 100%; DOR, 30.2) for ITB diagnosis, and comb sign (sensitivity, 82%; specificity, 81%; DOR, 21.5) followed by skip lesions (sensitivity, 86%; specificity, 74%; DOR, 16.5) had the highest diagnostic accuracy for CD diagnosis. On sensitivity analysis, the diagnostic accuracy of other features excluding asymmetric bowel wall thickening remained similar. Necrotic lymph nodes and comb sign on abdominal CT had the best diagnostic accuracy in differentiating CD and ITB.
Abdomen
;
Animals
;
Colon
;
Comb and Wattles
;
Crohn Disease*
;
Diagnosis
;
Gastrointestinal Tract
;
Humans
;
Lymph Nodes
;
Odds Ratio
;
Population Characteristics
;
Publication Bias
;
ROC Curve
;
Sensitivity and Specificity
;
Tomography, X-Ray Computed
;
Tuberculosis*