Reassessment of the predictive value of the Forrest classification for peptic ulcer rebleeding and mortality: can classification be simplified?

BACKGROUND AND STUDY AIMS: This study aimed to reassess whether the Forrest classification is still useful for the prediction of rebleeding and mortality in peptic ulcer bleedings and, based on this, whether the classification could be simplified. PATIENTS AND METHODS: Prospective registry data on peptic ulcer bleedings were collected and categorized according to the Forrest classification. The primary outcomes were 30-day rebleeding and all-cause mortality rates. Receiver operating characteristic curves were used to test whether simplification of the Forrest classification into high risk (Forrest Ia), increased risk (Forrest Ib-IIc), and low risk (Forrest III) classes could be an alternative to the original classification. RESULTS: In total, 397 patients were included, with 18 bleedings (4.5%) being classified as Forrest Ia, 73 (18.4%) as Forrest Ib, 86 (21.7%) as Forrest IIa, 32 (8.1%) as Forrest IIb, 59 (14.9%) as Forrest IIc, and 129 (32.5%) as Forrest III. Rebleeding occurred in 74 patients (18.6%). Rebleeding rates were highest in Forrest Ia peptic ulcers (59%). The odds ratios for rebleeding among Forrest Ib-IIc ulcers were similar. In subgroup analysis, predicting rebleeding using the Forrest classification was more reliable for gastric ulcers than for duodenal ulcers. The simplified Forrest classification had similar test characteristics to the original Forrest classification. CONCLUSION: The Forrest classification still has predictive value for rebleeding of peptic ulcers, especially for gastric ulcers; however, it does not predict mortality. Based on these results, a simplified Forrest classification is proposed. However, further studies are needed to validate these findings.

MR image analysis: Longitudinal cardiac motion influences left ventricular measurements.

BACKGROUND: Software for the analysis of left ventricular (LV) volumes and mass using border detection in short-axis images only, is hampered by through-plane cardiac motion. Therefore we aimed to evaluate software that involves longitudinal cardiac motion. METHODS: Twenty-three consecutive patients underwent 1.5-Tesla cine magnetic resonance (MR) imaging of the entire heart in the long-axis and short-axis orientation with breath-hold steady-state free precession imaging. Offline analysis was performed using software that uses short-axis images (Medis MASS) and software that includes two-chamber and four-chamber images to involve longitudinal LV expansion and shortening (CAAS-MRV). Intraobserver and interobserver reproducibility was assessed by using Bland-Altman analysis. RESULTS: Compared with MASS software, CAAS-MRV resulted in significantly smaller end-diastolic (156+/-48ml versus 167+/-52ml, p=0.001) and end-systolic LV volumes (79+/-48ml versus 94+/-52ml, p<0.001). In addition, CAAS-MRV resulted in higher LV ejection fraction (52+/-14% versus 46+/-13%, p<0.001) and calculated LV mass (154+/-52g versus 142+/-52g, p=0.004). Intraobserver and interobserver limits of agreement were similar for both methods. CONCLUSION: MR analysis of LV volumes and mass involving long-axis LV motion is a highly reproducible method, resulting in smaller LV volumes, higher ejection fraction and calculated LV mass.