Background: Research suggests that older age can influence perception, assessment, and treatment of acute pain, resulting in inadequate pain control for geriatric patients.
Objective: The purpose of this study was to determine if geriatric trauma patients are less likely to receive analgesia in our emergency department (ED).
Methods: This retrospective chart review includes blunt trauma adult patients who presented to a Level I trauma center ED between June 1 and December 31, 2012. Age was categorized as ≥65 years old and 18-64 years old. χ(2) was used to analyze differences in patients receiving pain medication by age groups. Analysis excluded those with no or low pain. A logistic regression model estimated the odds ratio of analgesic use controlling for age, pain level, sex, race, alcohol, drugs, Glasgow Coma Scale, ED length of stay, and Injury Severity Score. T-test compared differences in analgesia administration time.
Results: Four hundred and sixty-three blunt trauma patients were included in the analysis. Seventy percent of those ≥65 years received analgesia, compared with 84% of those 18-64 years old (p < 0.01). The mean time to analgesia administration was 92 min (≥65 years) compared to 61 min (18-64 years) (p = 0.03). Those ≥65 years were 69% less likely (odds ratio = 0.31; 95% confidence interval 0.16-0.59) to receive analgesia compared to patients aged 18-64 years, after controlling for confounders.
Conclusions: Trauma patients ≥ 65 years of age are less likely to receive analgesia than the younger cohort in our ED and waited longer to get it.
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http://dx.doi.org/10.1016/j.jemermed.2014.12.043 | DOI Listing |
Am J Mens Health
January 2025
MiOra-Public Health Non-profit Organization, Encino, CA, USA.
The literature on health care disparities among U.S. minority men remains limited, and post-pandemic changes in the health care delivery system may uniquely affect this population.
View Article and Find Full Text PDFClin Trials
January 2025
Central Monitoring and Data Analytics, GSK, Brentford, UK.
Background: Clinical trials handle a huge amount of data which can be used during the trial to improve the ongoing study conduct. It is suggested by regulators to implement the remote approach to evaluate clinical trials by analysing collected data. Central statistical monitoring helps to achieve that by employing quantitative methods, the results of which are a basis for decision-making on quality issues.
View Article and Find Full Text PDFMuscle Nerve
January 2025
Center for Gene Therapy, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA.
Background: Nusinersen and risdiplam are U.S. Food and Drug Administration (FDA)-approved treatments for spinal muscular atrophy (SMA).
View Article and Find Full Text PDFEur J Breast Health
January 2025
Clinic of General Surgery, Memorial Şişli Hospital, İstanbul, Turkey.
Objective: The aim of this study was to evaluate the relationship between subclinical lymphedema identified prior to surgical intervention and clinical lymphedema observed in the late period, the incidence of lymphedema in our cohort, and the associated risk factors.
Materials And Methods: This prospective study was conducted with early-stage breast cancer patients who had been enrolled in a previous study. For diagnosing lymphedema, physical examination, L-Dex® score, and circumferential measurement was used.
Eur J Breast Health
January 2025
Department of Biomedical Engineering, Yeditepe University Faculty of Engineering, İstanbul, Turkey.
Objective: To investigate integrating an artificial intelligence (AI) system into diagnostic breast ultrasound (US) for improved performance.
Materials And Methods: Seventy suspicious breast mass lesions (53 malignant and 17 benign) from seventy women who underwent diagnostic breast US complemented with shear wave elastography, US-guided core needle biopsy and verified histopathology were enrolled. Two radiologists, one with 15 years of experience and the other with one year of experience, evaluated the images for breast imaging-reporting and data system (BI-RADS) scoring.
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