Background: Inhaled anticholinergic medications (IACs) are widely used treatments for chronic obstructive pulmonary disease (COPD). The systemic anticholinergic effects of IAC therapy have not been extensively studied. This study sought to determine the risk of acute urinary retention (AUR) in seniors with COPD using IACs.

Methods: A nested case-control study of individuals with COPD aged 66 years or older was conducted from April 1, 2003, to March 31, 2009, using population-based linked databases from Ontario, Canada. A hospitalization, same-day surgery, or emergency department visit for AUR identified cases, which were matched with up to 5 controls. Exposure to IACs was determined using a comprehensive drug benefits database. Conditional logistic regression analysis was conducted to determine the association between IAC use and AUR.

Results: Of 565,073 individuals with COPD, 9432 men and 1806 women developed AUR. Men who just initiated a regimen of IACs were at increased risk for AUR compared with nonusers (adjusted odds ratio [OR], 1.42; 95% confidence interval [CI], 1.20-1.68). In men with evidence of benign prostatic hyperplasia, the risk was increased further (OR, 1.81; 95% CI, 1.46-2.24). Men using both short- and long-acting IACs had a significantly higher risk of AUR compared with monotherapy users (OR, 1.84; 95% CI, 1.25-2.71) or nonusers (2.69; 1.93-3.76).

Conclusions: Use of short- and long-acting IACs is associated with an increased risk of AUR in men with COPD. Men receiving concurrent treatment with both short- and long-acting IACs and those with evidence of benign prostatic hyperplasia are at highest risk.

Download full-text PDF

Source
http://dx.doi.org/10.1001/archinternmed.2011.170DOI Listing

Publication Analysis

Top Keywords

risk aur
12
short- long-acting
12
long-acting iacs
12
inhaled anticholinergic
8
risk acute
8
acute urinary
8
urinary retention
8
chronic obstructive
8
obstructive pulmonary
8
pulmonary disease
8

Similar Publications

To develop and validate biopsy-free nomograms to more accurately predict clinically significant prostate cancer (csPCa) in biopsy-naïve men with prostate imaging reporting and data system (PI-RADS) ≥ 4 lesions. A cohort of 931 patients with PI-RADS ≥ 4 lesions, undergoing prostate biopsies or radical prostatectomy from January 2020 to August 2023, was analyzed. Various clinical variables, including age, prostate-specific antigen (PSA) levels, prostate volume (PV), PSA density (PSAD), prostate health index (PHI), and maximum standardized uptake values (SUVmax) from PSMA PET-CT imaging, were assessed for predicting csPCa.

View Article and Find Full Text PDF

Hemophagocytic lymphohistiocytosis (HLH) is a severe disease with a grim prognosis. This study aims to investigate the potential role of albumin to urea nitrogen ratio (AUR) as a predictor of 30-day mortality in adult HLH patients. This retrospective analysis involved patients admitted to the hospital with a first-time diagnosis of HLH between January 2015 and September 2021.

View Article and Find Full Text PDF

This prospective case-control study explored the association between urinary magnesium levels and acute urinary retention (AUR) in individuals presenting to the emergency department. Forty-six participants, comprising 23 cases and 23 age- and sex-matched controls, underwent urine analysis for magnesium, calcium, and creatinine concentrations. The exclusion criteria mitigated potential confounding factors.

View Article and Find Full Text PDF

BPH is a common urological pathology that affects 2480 per 100,000 men worldwide. With a rising population and increased age expectancy, the prevalence of benign prostatic hyperplasia (BPH) is increasing (Awedew et al. in Lancet Healthy Longev 3(11), 2022).

View Article and Find Full Text PDF
Article Synopsis
  • The study focuses on identifying brain amyloid positivity in non-demented individuals, which is vital for early Alzheimer's disease diagnosis and treatment to start before symptoms appear.
  • Researchers developed predictive models using data from 853 participants, analyzing various factors like demographics, cognitive tests, and biomarkers related to Alzheimer's.
  • The best-performing model, which included blood biomarkers and ApoE status, achieved high accuracy rates (AUCs of 0.82 and 0.90) in predicting amyloid positivity, surpassing traditional models that relied only on demographic and cognitive data.
View Article and Find Full Text PDF

Want 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!