Publications by authors named "Jiyoon Oh"

The concept of cough hypersensitivity suggests that central sensitization plays a role in the pathophysiology of chronic cough. However, it remains unclear which traits are associated with central sensitization features in patients with chronic cough. A cohort of 317 Korean patients with newly referred chronic cough underwent clinical evaluations.

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Background: Recently, cough reflex hypersensitivity has been proposed as a common underlying feature of chronic cough in adults. However, symptoms and clinical characteristics of cough hypersensitivity have not been studied amongst phenotypes of chronic cough. This study aimed to compare symptom features, such as cough triggers and associated throat sensations, of cough hypersensitivity in patients with asthmatic chronic cough and those with refractory chronic cough (RCC).

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Background: Disease control in chronic diseases is an overarching concept that reflects the degree to which the goals of therapy are met. However, to date, there is no consensus on the definition of disease control in chronic cough. This study aimed to provide a conceptual exploration of patient-reported cough control in chronic cough.

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Charge imbalance within the emissive layer (EML) has been identified as a major obstacle to achieving high-performance quantum dot light-emitting diodes (QD-LEDs). To address this issue, we propose the use of a compact diamino-based ligand as a universal approach to improve the charge balance within the QD EML. Specifically, we treat QDs symmetrically with 1,4-diaminobutane (DAB) on both the bottom and top sides.

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This study aimed to investigate the effects of high-dose inhaled corticosteroids (ICS) on chronic cough patients with elevated fractional exhaled nitric oxide (FeNO) levels. In a prospective study, adults with chronic cough and FeNO ≥ 25 ppb, without any other apparent etiology, received fluticasone furoate (200 mcg) for three weeks. Outcomes were evaluated using FeNO levels, cough severity, and Leicester Cough Questionnaire (LCQ) before and after treatment.

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Article Synopsis
  • - The study evaluated the effectiveness of codeine for treating chronic cough in patients who didn't respond to standard treatments, finding that about 40.7% had identifiable causes while the rest didn't.
  • - Out of 305 patients, only 16.7% experienced a quick and notable improvement with codeine, while 59.3% remained non-responsive after the treatment.
  • - The results highlight that although codeine helps some patients, the majority still struggle with chronic cough, emphasizing the need for developing new antitussive medications.
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Colloidal quantum dots (QDs) are widely regarded as advanced emissive materials with significant potential for display applications owing to their excellent optical properties such as high color purity, near-unity photoluminescence quantum yield, and size-tunable emission color. Building upon these attractive attributes, QDs have successfully garnered attention in the display market as down-conversion luminophores and now venturing into the realm of self-emissive displays, exemplified by QD light-emitting diodes (QD-LEDs). However, despite these advancements, there remains a relatively limited body of research on QD patterning technologies, which are crucial prerequisites for the successful commercialization of QD-LEDs.

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Background: Empirical therapy with oral histamine-1 receptor antagonists (H1RAs) is often used for patients with suspected upper airway cough syndrome. No placebo-controlled trials with nonsedating H1RAs (nsH1RAs) have evaluated validated cough outcomes. The objective of the present study was to assess the effect of an nsH1RA, bepotastine, on cough outcomes in patients with allergic rhinitis and persistent cough.

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Purpose: This study evaluated the feasibility and utility of longitudinal cough frequency monitoring with the Hyfe Cough Tracker, a mobile application equipped with cough-counting artificial intelligence algorithms, in real-world patients with chronic cough.

Methods: Patients with chronic cough (> 8-week duration) were monitored continuously for cough frequency with the Hyfe app for at least one week. Cough was also evaluated using the Leicester Cough Questionnaire (LCQ) and daily cough severity scoring (0-10).

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Background: Codeine has been long used as an antitussive drug in several countries. However, a prescription pattern of codeine, such as dose or treatment duration, has not been reported in detail. Furthermore, there is few scientific evidence on the efficacy and safety.

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Cough is one of the most common symptoms of acute coronavirus disease 2019, but cough may persist for weeks or months. This study aimed to examine the clinical characteristics of patients with post-coronavirus disease (COVID) persistent cough in the Omicron era. We conducted a pooled analysis comparing 3 different groups: 1) a prospective cohort of post-COVID cough (> 3 weeks; n = 55), 2) a retrospective cohort of post-COVID cough (> 3 weeks; n = 66), and 3) a prospective cohort of non-COVID chronic cough (CC) (> 8 weeks; n = 100).

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Long coronavirus disease (COVID) refers to an array of variable and fluctuating symptoms experienced after acute illness, with signs and symptoms that persist for 8-12 weeks and are not otherwise explicable. Cough is the most common symptom of acute COVID-19, but cough may persist in some individuals for weeks or months after recovery from acute phase. Long-COVID cough patients may get stigmatised because of the public fear of contagion and reinfection.

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Article Synopsis
  • - This study presents a new method for creating capacitive pressure sensors using stacked carbon nanotubes (CNTs) and polydimethylsiloxane, which improves both linearity and sensitivity compared to traditional polymer sensors.
  • - The sensors demonstrate high linear sensitivity (0.991) in the medium-pressure range (10-100 kPa) and a fast response time of around 60 ms, along with excellent reliability over multiple cycles.
  • - These advanced sensors can be used in wearable devices to monitor finger movements in real time and can be integrated with neural networks for accurately recognizing various sitting postures.
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