Citations

Complete revascularization improves outcomes in patients with ST-segment elevation myocardial infarction (STEMI) and multivessel coronary artery disease (MVD); however, the optimal timing of noninfarct-related artery intervention during the index procedure, immediate revascularization (IR) versus a staged approach (SR), remains uncertain. We conducted a systematic review and meta-analysis of randomized controlled trials comparing SR and IR in patients with STEMI and MVD. The primary outcome was major adverse cardiovascular events. Secondary outcomes included all-cause and cardiovascular mortality, recurrent myocardial infarction, unplanned ischemia-driven revascularization, stent thrombosis, stroke, major bleeding, acute kidney injury, and heart failure hospitalization. Random-effects models with Hartung–Knapp adjustment were used. Trial sequential analysis assessed evidence conclusiveness, and the certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation. Eight randomized trials, including 5077 patients (2556 SR; 2521 IR), were analyzed. No significant differences were observed between SR and IR for major adverse cardiovascular events [odds ratios (ORs), 1.07; 95% confidence intervals (CI), 0.76–1.49], recurrent myocardial infarction (OR, 1.30; 95% CI, 0.80–2.14), cardiovascular mortality (OR, 0.76; 95% CI, 0.51–1.13), or all-cause mortality (OR, 0.75; 95% CI, 0.54–1.06). Rates of stent thrombosis, stroke, unplanned ischemia-driven revascularization, major bleeding, acute kidney injury, and heart failure hospitalization were also comparable. Trial sequential analysis indicated insufficient information size to draw definitive conclusions, and the certainty of evidence ranged from very low to low. In patients with STEMI and MVD, staged and immediate complete revascularization provide comparable ischemic, safety, and mortality outcomes. Current evidence supports clinical equipoise, and revascularization timing should be individualized pending results from adequately powered trials.

Background and Aims: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Existing prognostic models lack precision for 90-day mortality. Utilizing artificial intelligence in a global cohort, we sought to derive and validate an enhanced prognostic model. Approach and Results: The Global AlcHep initiative, a retrospective study across 23 centers in 12 countries, enrolled patients with AH per National Institute for Alcohol Abuse and Alcoholism criteria. Centers were partitioned into derivation (11 centers, 860 patients) and validation cohorts (12 centers, 859 patients). Focusing on 30 and 90-day postadmission mortality, 3 artificial intelligence algorithms (Random Forest, Gradient Boosting Machines, and eXtreme Gradient Boosting) informed an ensemble model, subsequently refined through Bayesian updating, integrating the derivation cohort’s average 90-day mortality with each center’s approximate mortality rate to produce posttest probabilities. The ALCoholic Hepatitis Artificial INtelligence Ensemble score integrated age, gender, cirrhosis, and 9 laboratory values, with center-specific mortality rates. Mortality was 18.7% (30 d) and 27.9% (90 d) in the derivation cohort versus 21.7% and 32.5% in the validation cohort. Validation cohort 30 and 90-day AUCs were 0.811 (0.779–0.844) and 0.799 (0.769–0.830), significantly surpassing legacy models like Maddrey’s Discriminant Function, Model for End-Stage Liver Disease variations, age-serum bilirubin-international normalized ratio-serum Creatinine score, Glasgow, and modified Glasgow Scores (p < 0.001). ALCoholic Hepatitis Artificial INtelligence Ensemble score also showcased superior calibration against MELD and its variants. Steroid use improved 30-day survival for those with an ALCoholic Hepatitis Artificial INtelligence Ensemble score > 0.20 in both derivation and validation cohorts. Conclusions: Harnessing artificial intelligence within a global consortium, we pioneered a scoring system excelling over traditional models for 30 and 90-day AH mortality predictions. Beneficial for clinical trials, steroid therapy, and transplant indications, it’s accessible at: https://aihepatology.shinyapps.io/ALCHAIN/.

Xanthogranulomatous pyelonephritis (XGP) is a rare chronic granulomatous destructive process of the renal parenchyma. It is caused by a chronic inflammatory process due to recurrent urinary tract infections and/or obstructing renal calculi. Rarely, it presents with advanced complications including abscesses and fistula formations. In this article, we report a unique presentation of XGP with simultaneous upper and lower gastrointestinal bleeding in the setting of XGP with reno-gastric and reno-colic fistulas.