Background And Objectives: Application of the patient-centered medical home (PCMH) practice model requires managing patients with chronic diseases, such as asthma, with patient-centered approaches that ensure appropriate ongoing assessment and treatment for all patients. The Asthma Control Score (ACS) and the Asthma Action Plan (AAP) are validated tools for assessment and management of asthma. ACS use by phone has been shown to accurately assess patients' asthma control; however, no studies to date demonstrate the utility of AAP implementation by phone to improve asthma control. This study tested the effectiveness of AAP implementation by phone to improve asthma control.
Methods: Adult patients with asthma (n=48) participating in a managed care insurance plan at a university-based family medicine residency clinic were enrolled in the study. Patients were contacted by phone, and an initial ACS was assessed. Patients with an ACS <20 (uncontrolled asthma) had their medication adjusted and a new AAP implemented by phone. Uncontrolled patients were reassessed by phone monthly and management was adjusted until control was achieved.
Results: Of 48 patients, 42 (87.5%) were reached by phone. On initial assessment, 33 (69%) were controlled. After implementation of the new AAP by phone, seven of nine (78%) initially uncontrolled patients were controlled, for a total of 40 (83%) patients controlled by the end of the study.
Conclusions: Asthma management using the ACS and AAP by phone is a feasible strategy that is acceptable to patients and can improve asthma control without the need for an office visit.
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Am J Transl Res
December 2024
Department of Respiratory Medicine, Hanzhong People's Hospital Hanzhong 723000, Shaanxi, China.
Objective: To investigate the diagnostic value of immunoglobulin E (IgE), fractional of exhaled nitric oxide (FeNO), and peripheral blood eosinophils (EOS) in adult bronchial asthma and to analyze their relationship with asthma severity.
Methods: A retrospective analysis was conducted on 336 patients diagnosed with bronchial asthma and admitted to Xi'an Fourth Hospital from January 2022 to January 2024, forming the asthma group. Additionally, another 127 healthy subjects were selected as the non-asthmatic control group.
Immunol Invest
January 2025
Department of Respiratory Medicine, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Introduction: T helper 17 (Th17) cells have a significant effect in the pathogenesis of asthma, and signal transducer and activator of transcription 3 (STAT3) pathway activation is critical for Th17 cell differentiation. Timosaponin A-III (TA3) was reported to inhibit the STAT3 pathway. Here, we investigated whether TA3 improved asthma by inhibiting the STAT3 pathway.
View Article and Find Full Text PDFIntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
View Article and Find Full Text PDFWorld J Diabetes
January 2025
Department of Medicine, The Royal College of Surgeons in Ireland-Bahrain, Busiateen 15503, Muharraq, Bahrain.
Background: The relationship between diabetes mellitus (DM) and asthma is complex and can impact disease trajectories.
Aim: To explore the bidirectional influences between the two conditions on clinical outcomes and disease control.
Methods: We systematically reviewed the literature on the relationship between DM and asthma, focusing on their impacts, mechanisms, and therapeutic implications.
J Inflamm Res
January 2025
Department of Geriatric Respiratory and Critical Care, The First Affiliated Hospital of Anhui Medical University, Anhui Geriatric Institute, Hefei, Anhui, People's Republic of China.
Aim: We sought to investigate the impact of CpG oligodeoxynucleotides (CpG-ODN) administration on the lung and gut microbiota in asthmatic mice, specifically focusing on changes in composition, diversity, and abundance, and to elucidate the microbial mechanisms underlying the therapeutic effects of CpG-ODN and identify potential beneficial bacteria indicative of its efficacy.
Methods: HE staining were used to analyze inflammation in lung, colon and small intestine tissues. High-throughput sequencing technology targeting 16S rRNA was employed to analyze the composition, diversity, and correlation of microbiome in the lung, colon and small intestine of control, model and CpG-ODN administration groups.
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