Background: There was no data on the prevalence of Gastrointestinal bleeding (GI) among patients admitted on the emergency ward at Mulago hospital. This was partly because the medical records were not adequately completed as designed.
Objective: To estimate the prevalence of gastrointestinal bleeding and the frequency of selected predictors of mortality on the emergency ward.
Methods: This was a chart review incorporating quality improvement methods in the process of data collection. The health care team was educated on documentation of gastrointestinal bleeding while being assessed weekly for knowledge and practice of completion of the Casualty Assessment form (CAF) from which a documented diagnosis of GI bleeding and selected predictors of mortality were looked for.
Results: Of the 1881 CAF assessed, 278 had a documented diagnosis of GI bleeding, resulting in a prevalence of 6.8%. Of the patients with GI bleeding, 14.1% had age greater than 60 years, 24.0% had a systolic blood pressure less than 100mmHg and 44.5% had a heart rate greater than 100 beats per minute.
Conclusion: The prevalence of GI bleeding on the medical emergency ward of Mulago hospital is high. This calls for strategies for resuscitative management of this life-threatening medical emergency. Among the selected predictors of mortality, tachycardia was most frequent followed by hypotension. These should always be assessed in a patient with GI bleeding and resuscitative measures with blood transfusion and intravenous fluids undertaken to correct them.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398437 | PMC |
| http://dx.doi.org/10.4314/ahs.v23i1.66 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Use of Artificial Intelligence in Lower Gastrointestinal and Small Bowel Disorders: An Update Beyond Polyp Detection.
J Clin Gastroenterol
February 2025
Swedish Medical Center, Seattle, WA.
Machine learning and its specialized forms, such as Artificial Neural Networks and Convolutional Neural Networks, are increasingly being used for detecting and managing gastrointestinal conditions. Recent advancements involve using Artificial Neural Network models to enhance predictive accuracy for severe lower gastrointestinal (LGI) bleeding outcomes, including the need for surgery. To this end, artificial intelligence (AI)-guided predictive models have shown promise in improving management outcomes.
View Article and Find Full Text PDFEffect of anastomotic reinforcement with barded suture on anastomotic leakage prevention following laparoscopic low anterior resection for rectal cancer: a retrospective single-center study.
BMC Surg
January 2025
State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital & Institute, Beijing, China.
Background: Anastomotic leakage (AL) is a serious complication that may occur following the double stapling technique (DST). The study aims to investigate the efficacy of anastomotic reinforcement using barbed sutures in preventing AL after laparoscopic low anterior resection (LAR) for rectal cancer.
Methods: During the period from November 1, 2018 to November 1, 2023, a total of 725 consecutive patients who had underwent laparoscopic LAR for rectal cancer were enrolled in this study.
Detection of differences in physical symptoms between depressed and undepressed patients with breast cancer: a study using K-medoids clustering.
BMC Cancer
January 2025
Nanfang Hospital, Southern Medical University, Guangzhou, China.
Background: To detect the differences in physical symptoms between depressed and undepressed patients with breast cancer (BC), including common symptoms, co-occurring symptoms, and symptom clusters based on texts derived from social media and expressive writing.
Methods: A total of 1830 texts from social media and expressive writing were collected. The Chi-square test was used to compare the frequency of physical symptoms between depressed and undepressed patients with BC.
CT-based nomogram predicts esophageal gastric variceal bleeding in noncirrhotic portal hypertension caused by hepatic schistosomiasis.
BMC Med Inform Decis Mak
January 2025
Department of Vascular and Wound Center, Jinshan Hospital, Fudan University, Shanghai, 201508, China.
Background: To construct a nomogram combining CT varices vein evaluation and clinical laboratory tests for predicting the risk of esophageal gastric variceal bleeding (EGVB) in patients with noncirrhotic portal hypertension (NCPH).
Methods: A total of 315 NCPH patients with non-EGVB and EGVB were retrospectively enrolled and randomly divided into training and testing cohorts. Thirteen collateral vessels were identified and evaluated after CT portal vein system reconstruction.
Does Frequent Use of Advanced Energy Devices Improve Hysterectomy Outcomes?
Medicina (Kaunas)
December 2024
Department of Obstetrics and Gynecology, Korea University College of Medicine, 73 Inchon-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.
: The objective of this study was to assess the efficient use of advanced energy devices by examining the impact of their usage frequency on surgical outcomes of total laparoscopic hysterectomies. : A retrospective study was conducted between 2020 and 2023 by a single surgeon. The patients' medical records and surgical videos were reviewed.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!