Objectives: To determine the effect of advancing age on the clinical outcomes of Clostridium difficile (CDI) treatment.
Design: Regression modeling of results from two double-blind randomized multicenter studies on the treatment of primary and first recurrent cases of CDI to examine for effects of age and study drug on outcomes of cure (resolution of diarrhea), recurrence within 4 weeks of completing successful therapy, and cure without recurrence.
Setting: Participants were randomized into studies in the United States, Canada, and Europe.
Participants: Nine hundred ninety-nine individuals with toxin-positive CDI were randomized to receive vancomycin (125 mg 4 times daily) or fidaxomicin (200 mg twice daily) for 10 days.
Measurements: The effect of advancing age in those aged 18 to 40 years and in 10-year increments thereafter was examined.
Results: The model predicts a 17% lower clinical cure, 17% greater recurrence, and 13% lower sustained clinical response by advancing decade than in those younger than 40 (P < .01 each). Clinical cure was similar in the fidaxomicin and vancomycin treatment groups, although fidaxomicin was associated with a more than 50% lower relative risk for recurrence than vancomycin (P < .001). Multivariate regression modeling showed that risk factors accounting for poorer outcomes with advancing age include infection with the BI strain type, inpatient status, renal insufficiency, leukocytosis, hypoalbuminemia, and concomitant medication exposure.
Conclusion: Measurable and progressive deterioration in CDI treatment outcomes occurred with advancing age in those aged 40 and older, highlighting the need for prevention and treatment strategies. Fidaxomicin treatment was associated with a 60% lower risk of recurrence than vancomycin after adjusting for age, concomitant antibiotics, and C. difficile strain.
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http://dx.doi.org/10.1111/jgs.12090 | DOI Listing |
Introduction: Differentiated thyroid cancer (DTC) is the most common type of endocrine malignancy, with rising incidence over recent decades. Despite a favorable prognosis, DTC management remains complex, often involving thyroidectomy followed by radioactive iodine (RAI) therapy. While RAI is crucial for patient outcomes, its efficacy varies, necessitating the identification of predictors for treatment response.
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
Objective: To provide an updated evaluation of clinical effectiveness and sequelae of maxillomandibular advancement surgery in obstructive sleep apnea.
Data Sources: PubMed, Scopus, CINAHL.
Review Methods: Included studies described patients with obstructive sleep apnea that completed maxillomandibular advancement with any reported sequelae.
EClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
View Article and Find Full Text PDFEClinicalMedicine
December 2024
Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan.
Background: Therapeutic advancements for the polyglutamine diseases, particularly spinocerebellar degeneration, are eagerly awaited. We evaluated the safety, tolerability, and therapeutic effects of L-arginine, which inhibits the conformational change and aggregation of polyglutamine proteins, in patients with spinocerebellar ataxia type 6 (SCA6).
Methods: A multicenter, randomized, double-blind, placebo-controlled phase 2 trial (clinical trial ID: AJA030-002, registration number: jRCT2031200135) was performed on 40 genetically confirmed SCA6 patients enrolled between September 1, 2020, and September 30, 2021.
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
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