Inspiratory collapse of the inferior vena cava and the kissing ventricle sign: markers of poor prognosis in emergency gastrointestinal bleeding.

OBJECTIVES Gastrointestinal bleeding, one of the main reasons for emergency department visits, is associated with significant mortality, complications, and high health care spending. Studies have shown the usefulness of hemodynamic monitoring by ultrasound of the inferior vena cava (IVC), imaging of systolic obstruction of the left ventricle (the kissing sign), changes in cardiac output, or surrogates for cardiac output such as the left ventricular velocity time integral before and after a passive leg raise. There is currently no evidence for applying this approach to evaluating hypovolemia due to gastrointestinal bleeding. MATERIAL AND METHODS We prospectively recruited 203 emergency department patients with gastrointestinal bleeding between August 2015 and April 2017; this sample size provided a 95% CI for a proportion of 5%, with a precision of 3% and expected losses of 15%. Recorded data were as follows: medical histories, observations during physical examinations, laboratory results, diagnostic variables, treatment details, clinical course, and ultrasound findings related to hemodynamics. RESULTS Clinical course was worse in patients with evidence of hypovolemia such as a small (<1 cm) end-expiratory IVC diameter (IVCEE) or the kissing sign. Complications were more prevalent at 24 hours and 30 days, a finding that was not associated with the other clinical or laboratory variables commonly monitored. We also saw that both a small IVCEE and persistent inspiratory collapse of the IVC of more than 50% after a passive leg raise test might prove useful for identifying patients at risk for anemia at 24 hours, allowing time to start preventive measures. CONCLUSION The analysis of IVCEE, inspiratory collapse of the IVC, or the kissing sign in combination with clinical and laboratory findings can facilitate the use of clinical practice algorithms that can encourage the efficient risk-based assignment of resources and improve prognosis.