Background: We conducted a double-blind, randomized, placebo-controlled study to evaluate the efficacy of telithromycin in patients with acute exacerbations of asthma.
Methods: A total of 278 adults with diagnosed asthma were enrolled within 24 hours after an acute exacerbation of asthma requiring short-term medical care. The patients were randomly assigned to receive 10 days of oral treatment with telithromycin (at a dose of 800 mg daily) or placebo in addition to usual care. Primary efficacy end points were a change from baseline over the treatment period in symptoms (as recorded by patients in a diary card) and in the peak expiratory flow in the morning at home. The presence of Chlamydophila pneumoniae or Mycoplasma pneumoniae was ascertained by serologic analysis, polymerase chain reaction, and culture.
Results: Of the two prespecified primary outcomes, only asthma symptoms showed a significantly greater reduction among patients receiving telithromycin than among those receiving placebo. Mean (+/-SD) scores on a test of asthma symptoms (on a 7-point scale, with 0 denoting no symptoms and 6 denoting severe symptoms) were 3.0+/-1.4 at baseline and 1.7+/-1.1 at the end of treatment for the telithromycin group and 2.8+/-1.3 at baseline and 2.0+/-1.0 at the end of treatment for the placebo group. The mean decrease in symptom scores during the treatment period was 1.3 for telithromycin and 1.0 for placebo (mean difference, -0.3; 95 percent confidence interval, -0.5 to -0.1; P=0.004). There was no significant treatment effect on the other primary outcome measure, a change in morning peak expiratory flow. Nausea was more common among patients in the telithromycin group than in the placebo group (P=0.01). Although 61 percent of patients had evidence of infection with C. pneumoniae, M. pneumoniae, or both, there was no relationship between bacteriologic status and the response to asthma treatment.
Conclusions: This study provides evidence of the benefit of telithromycin in patients with acute exacerbations of asthma; the mechanisms of benefit remain unclear. (ClinicalTrials.gov number, NCT00273520.).
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http://dx.doi.org/10.1056/NEJMoa044080 | DOI Listing |
BMC Psychiatry
January 2025
School of Mental Health, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Background: Although impaired cognitive control is common during the acute detoxification phase of substance use disorders (SUD) and is considered a major cause of relapse, it remains unclear after prolonged methadone maintenance treatment (MMT). The aim of the present study was to elucidate cognitive control in individuals with heroin use disorder (HUD) after prolonged MMT and its association with previous relapse.
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In Vitro Cell Dev Biol Anim
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Department of General Surgery, Second Xiangya Hospital, Central South University, No. 139 Renmin Road, Furong District, Changsha, 410011, Hunan Province, P.R. China.
Acute pancreatitis (AP) is a serious inflammatory disease with high incidence rate and mortality. It was confirmed that overactivation of autophagy in acinar cells can increase the risk of AP. Nevertheless, the regulatory mechanism of autophagy in AP is unclear.
View Article and Find Full Text PDFNat Immunol
January 2025
State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Mucosal antigen-specific T cells are pivotal for pathogen clearance and immune modulation in respiratory infections. Dysregulated T cell responses exacerbate coronavirus disease 2019 severity, marked by cytokine storms and respiratory failure. Despite extensive description in peripheral blood, the characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific T cells in the lungs remain elusive.
View Article and Find Full Text PDFChronic Obstr Pulm Dis
January 2025
Section of General Internal Medicine, Department of Medicine, University of Chicago, Chicago, Illinois, United States.
This study aimed to evaluate the performance of machine learning models for predicting readmission of patients with Chronic Obstructive Pulmonary Disease (COPD) based on administrative data and chart review data. The study analyzed 4,327 patient encounters from the University of Chicago Medicine to assess the risk of readmission within 90 days after an acute exacerbation of COPD. Two random forest prediction models were compared.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.
Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.
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