Suppr超能文献

Does hemodynamic instability predict positive technetium-labeled red blood cell scintigraphy in patients with acute lower gastrointestinal bleeding? A review of 50 patients.

作者信息

Feingold Daniel L, Caliendo Frank J, Chinn Bertram T, Notaro Joseph R, Oliver Gregory C, Salvati Eugene P, Wilkins Kirsten B, Eisenstat Theodore E

机构信息

Division of Colorectal Surgery, Robert Wood Johnson Medical School, University of Medicine and Dentistry of New Jersey, Edison, New Jersey 08820, USA.

出版信息

Dis Colon Rectum. 2005 May;48(5):1001-4. doi: 10.1007/s10350-004-0931-2.

Abstract

PURPOSE

Technetium-99m-labeled red blood cell scintigraphy, commonly used in the evaluation of acute lower gastrointestinal hemorrhage, often fails to demonstrate a source of bleeding. It would be helpful to characterize a subset of patients more likely to have a positive scan. This study was undertaken to determine whether hemodynamic instability can predict tagged red blood cell scan positivity.

METHODS

The records of 50 consecutive patients who underwent tagged red blood cell scanning for the evaluation of acute lower gastrointestinal bleeding were reviewed retrospectively.

RESULTS

Patients presenting with a heart rate >100 beats per minute or a systolic blood pressure <100 mmHg up to 24 hours before undergoing tagged red blood cell scanning were considered hemodynamically unstable. Thirteen of 21 unstable patients (62 percent) had positive scans, whereas only 6 of 29 stable patients (21 percent) had positive scintigraphy (odds ratio, 6; 95 percent confidence interval, 1.79-22.1).

CONCLUSIONS

Hemodynamic instability in the setting of acute lower gastrointestinal bleeding may be a predictor of positive tagged red blood cell scanning. Incorporating this into the diagnostic algorithm used to evaluate patients with acute lower gastrointestinal bleeding may allow physicians to reserve red blood cell scintigraphy for patients who have demonstrated transient hemodynamic compromise.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验