ABC score: a new risk score that accurately predicts mortality in acute upper and lower gastrointestinal bleeding: an international multicentre study.

OBJECTIVES: Existing scores are not accurate at predicting mortality in upper (UGIB) and lower (LGIB) gastrointestinal bleeding. We aimed to develop and validate a new pre-endoscopy score for predicting mortality in both UGIB and LGIB. DESIGN AND SETTING: International cohort study. Patients presenting to hospital with UGIB at six international centres were used to develop a risk score for predicting mortality using regression analyses. The score's performance in UGIB and LGIB was externally validated and compared with existing scores using four international datasets. We calculated areas under receiver operating characteristics curves (AUROCs), sensitivities, specificities and outcome among patients classified as low risk and high risk. PARTICIPANTS AND RESULTS: We included 3012 UGIB patients in the development cohort, and 4019 UGIB and 2336 LGIB patients in the validation cohorts. Age, Blood tests and Comorbidities (ABC) score was closer associated with mortality in UGIB and LGIB (AUROCs: 0.81-84) than existing scores (AUROCs: 0.65-0.75; p≤0.02). In UGIB, patients with low ABC score (≤3), medium ABC score (4-7) and high ABC score (≥8) had 30-day mortality rates of 1.0%, 7.0% and 25%, respectively. Patients classified low risk using ABC score had lower mortality than those classified low risk with AIMS65 (threshold ≤1) (1.0 vs 4.5%; p<0.001). In LGIB, patients with low, medium and high ABC scores had in-hospital mortality rates of 0.6%, 6.3% and 18%, respectively. CONCLUSIONS: In contrast to previous scores, ABC score has good performance for predicting mortality in both UGIB and LGIB, allowing early identification and targeted management of patients at high or low risk of death.

Autoimmune smoke and fire--coexisting rheumatoid arthritis and chronic obstructive pulmonary disease: a cross-sectional analysis.

To assess the association between RA and chronic obstructive pulmonary disease (COPD) in a population-based case-control study. A cross-sectional analysis performed utilizing the database of Clalit Health Services, the largest healthcare provider organization in Israel. Patients over the age of 20 years who were diagnosed with RA ('cases') and who were treated with any anti-rheumatic drug were compared with a sample of age- and gender-matched enrollees ('controls') without regard for the prevalence of COPD. Data on health-related lifestyles and other comorbidities were collected. χ(2), t tests, and logistic regression models were used to compare the study groups. The study included 9,039 RA cases and 15,070 controls. The proportion of COPD was significantly higher in patients with RA as compared to the control group (8.6 vs. 4.4%, p < 0.0001, odds ratio (OR) 2.06, 95% confidence interval (CI) 1.85-2.29). A multivariate logistic regression model demonstrated that RA was significantly associated with COPD, after controlling for confounders, including age, sex, socioeconomic status, smoking, and obesity (adjusted OR 1.98, 95% CI 1.77-2.21, p < 0.0001). In this large data-based study, RA was found to be associated with COPD.