Importance: Lower gastrointestinal bleeding (LGIB), which manifests as blood in the colon or anorectum, is a common reason for hospitalization. In most patients, LGIB stops spontaneously with no in-hospital intervention. A risk score that could identify patients at low risk of experiencing adverse outcomes could help improve the triage process and allow greater numbers of patients to receive outpatient management of LGIB.
Objective: To externally validate the Oakland Score, which was previously developed using a score threshold of 8 points to identify patients with LGIB who are at low risk of adverse outcomes.
Design, Setting, And Participants: This multicenter prognostic study was conducted in 140 US hospitals in the Hospital Corporation of America network. A total of 46 179 adult patients (aged ≥16 years) admitted to the hospital with a primary diagnosis of LGIB between June 1, 2016, and October 15, 2018, were initially identified using diagnostic codes. Of those, 51 patients were excluded because they were more likely to have upper gastrointestinal bleeding, leaving a study population of 46 128 patients with LGIB. For the statistical analysis of the Oakland Score, an additional 8061 patients were excluded because they were missing data on Oakland Score components or clinical outcomes, resulting in 38 067 patients included in the analysis. The study used area under the receiver operating characteristic curves with 95% CIs for external validation of the model. Sensitivity and specificity were calculated for each score threshold (≤8 points, ≤9 points, and ≤10 points). Data were analyzed from October 16, 2018, to September 4, 2019.
Main Outcomes And Measures: Identification of patients who met the criteria for safe discharge from the hospital and comparison of the performance of 2 score thresholds (≤8 points vs ≤10 points). Safe discharge was defined as the absence of blood transfusion, rebleeding, hemostatic intervention, hospital readmission, and death.
Results: Among 46 128 adult patients with LGIB, the mean (SD) age was 70.1 (16.5) years; 23 091 patients (50.1%) were female. Of those, 22 074 patients (47.9%) met the criteria for safe discharge from the hospital. In this group, the mean (SD) age was 67.9 (18.1) years, and 11 056 patients (50.1%) were female. In the statistical analysis of the Oakland Score, which included only the 38 067 patients with complete data, the area under the receiver operating characteristic curve for safe discharge was 0.87 (95% CI, 0.87-0.87). An Oakland Score threshold of 8 points or lower identified 3305 patients (8.7%), with a sensitivity and specificity for safe discharge of 98.4% and 16.0%, respectively. Extension of the Oakland Score threshold to 10 points or lower identified 6770 patients (17.8%), with a sensitivity and specificity for safe discharge of 96.0% and 31.9%, respectively.
Conclusions And Relevance: In this study, the Oakland Score consistently identified patients with acute LGIB who were at low risk of experiencing adverse outcomes and whose conditions could safely be managed without hospitalization. The score threshold to identify low-risk patients could be extended from 8 points or lower to 10 points or lower to allow identification of a greater proportion of low-risk patients.
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http://dx.doi.org/10.1001/jamanetworkopen.2020.9630 | DOI Listing |
J Addict Med
December 2024
From the Integrated Psychiatry, Pain, and Addiction Service, Vancouver General Hospital, Vancouver, British Columbia, Canada (PA, JSHW, JM, MN, VWL, MJI, NM); Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada (PA, MN, VWL, MJI, NM); Addictions and Concurrent Disorders Research Group, Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada (JSHW, RMK); Substance Use Response and Facilitation Service, BC Children's Hospital, Provincial Health Services Authority, Vancouver, British Columbia, Canada (MJI); BC Mental Health & Substance Use Services, Provincial Health Services Authority, Vancouver, British Columbia, Canada (NM); Bridge, Public Health Institute, Oakland, CA (AAH); Department of Emergency Medicine, Highland General Hospital-Alameda Health System, Oakland, CA (AAH); Department of Emergency Medicine, University of California, San Francisco, CA (AAH); The C4 Foundation, Coronado, CA (RM); British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada (JSGM); Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada (JSGM); and Pharmacokinetics Modeling and Simulation Laboratory, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada (ARM).
Buprenorphine has superior safety in opioid use disorder compared with alternatives due to its action as a partial opioid agonist, which limits its ability to cause respiratory depression. There is a risk of precipitated opioid withdrawal after buprenorphine exposure in someone using full opioid agonists. Buprenorphine induction strategies that avoid precipitated withdrawal remain a crucial component for starting buprenorphine in individuals actively using opioids.
View Article and Find Full Text PDFPrehosp Emerg Care
January 2025
EMS Bridge, Public Health Institute, Oakland, CA.
Objectives: Opioid use disorder (OUD) remains a common cause of overdose and mortality in the United States. Emergency medical services (EMS) clinicians often interact with patients with OUD, including during or shortly after an overdose. The aim of this study was to describe the characteristics and outcomes of patients receiving prehospital buprenorphine for the treatment of opioid withdrawal in an urban EMS system.
View Article and Find Full Text PDFPurpose: Our goals were to: 1) examine the occurrence of behavioral and emotional symptoms in children on the autism spectrum in a large national sample, stratifying by sex, and 2) evaluate whether children with increased autism-related social communication deficits also experience more behavioral and emotional problems.
Methods: Participants (n = 7,998) were from 37 cohorts from the Environmental influences on Child Health Outcomes (ECHO) Program. Cross-sectional information on demographic factors, parent-report of an ASD diagnosis by clinician, Social Responsiveness Scale (SRS) scores, and Child Behavior Checklist (CBCL) scores were obtained for children aged 2.
Heliyon
December 2024
Computer Science & Engineering Department, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh), Bhopal, Madhya Pradesh, India.
A smart city is deemed smart enough because it has the capability to make decisions on its own. Artificial intelligence needs a lot of data from the physical world to make correct decisions. IoT sensor devices collect data from the surroundings, which is further used for predictive analytics.
View Article and Find Full Text PDFInterv Pain Med
December 2024
Department of Orthopaedic Surgery, William Beaumont University Hospital, 3811 West 13 Mile Rd, Royal Oak, MI, USA.
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