A Systematic Review of Crohn's Disease Case Definitions in Administrative or Claims Databases.

BACKGROUND: We sought to review Crohn's disease (CD) case definitions that use diagnosis, procedure, and medication claims. METHODS: We searched PubMed and Embase from inception through January 31, 2022, using terms related to CD, inflammatory bowel disease, administrative claims, or validity. Each article was scrutinized by 2 authors independently screening and abstracting data. Collected data included participant characteristics, case definition characteristics, and case definition validity. When diagnostic accuracy was provided for multiple case definitions, we extracted the case definition selected by the authors. All diagnostic accuracy characteristics were captured. RESULTS: We identified 30 studies that evaluated a case definition using claims data to identify CD patients. The most common case definition included counts of diagnosis codes (57%) followed by a combination of diagnosis codes and medications (20%). All but 1 study validated the case definition with a medical chart review. In 2 studies, the patient's primary care provider completed a survey to confirm disease status. The positive predictive value of the case definitions ranged from 18% (≥1 code at a single U.S. health plan) to 100% (≥1 code plus a relevant prescription at a U.S. hospital). More complex case definitions (eg, ≥1 code + prescription or ≥2 codes) had lower variability in positive predictive value (≥80%) and specificity (≥85%) than the ≥1 code requirement. CONCLUSIONS: Health services researchers should validate case definitions in their research cohorts. When such validation cannot be performed, we recommend using a more complex case definition. Studies without a validated CD case definition should use sensitivity analyses to confirm the robustness of their results.

This systematic review of Crohn's disease (CD) case definitions identified that complex case definitions such as ≥1 diagnosis code + ≥1 prescription had desirable diagnostic accuracy properties.

An exploratory study of food addiction in Indian youth.

BACKGROUND AND AIMS: As the understanding of food addiction increases, there is a need to explore the occurrence of this condition in different population groups. This exploratory study aimed to assess the occurrence of food addiction in a sample of respondents from India using a Hindi version of the Yale Food Addiction Scale (YFAS). METHODS: The Hindi language version of the scale was developed using the back-translation methodology. Subsequently, an online questionnaire-based study was conducted using convenience sampling which presented the Hindi version of YFAS. RESULTS: From 376 respondents (median age 19 years, 42.8% males), the rate of occurrence of food addiction was 13.3%. Persistent desire or repeated unsuccessful attempts to quit was the most common symptom domain endorsed. The weight (median 67 kg versus 60 kg) and BMI (median 25.89 kg/ m2versus 23.04 kg/ m2) were higher in the food addiction group as compared to the non-food addiction group. CONCLUSIONS: Despite the limitations of potential selection bias, this exploratory study suggests that food addiction may be present in a proportion of young aged Indians. The association of food addiction with higher weight and BMI suggests propensity to develop metabolic syndrome, and the need to evaluate interventions that could modify phenomenological expression of food addiction.