2012
DOI: 10.4103/0970-2113.92352
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Asthma-like peak flow variability in various lung diseases

Abstract: Background and Objectives:Bronchodilator reversibility and diurnal peak flow variability are considered characteristic of asthma patients. Patients with chronic obstructive pulmonary disease (COPD) show poor reversibility. But reversibility and variability in other pulmonary diseases manifesting with airflow obstruction in not known. Therefore, we assessed reversibility and peak flow variability in patients with various lung diseases to recognize the pattern.Materials and Methods:Seventy consecutive patients w… Show more

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Cited by 2 publications
(7 citation statements)
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References 12 publications
(14 reference statements)
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“…Given that well-controlled asthma patients generally exhibit low PEF variability, akin to healthy individuals, they will be an appropriate group for further study. Conversely, poorly controlled asthmatics at high risk usually present high PEF variability, which our proposed alert system should more likely detect [14,17,35].…”
Section: Insights and Limitationmentioning
confidence: 99%
See 2 more Smart Citations
“…Given that well-controlled asthma patients generally exhibit low PEF variability, akin to healthy individuals, they will be an appropriate group for further study. Conversely, poorly controlled asthmatics at high risk usually present high PEF variability, which our proposed alert system should more likely detect [14,17,35].…”
Section: Insights and Limitationmentioning
confidence: 99%
“…These personalized strategies have gained increased focus in modern healthcare, taking into consideration the specific asthma phenotype and endotype of each individual [16]. This personalized approach, facilitated by advanced understanding of asthma's pathophysiology, has spurred targeted biologic therapies and precision medicine [17]. Additionally, there is a growing interest in leveraging digital health interventions and smart inhaler technologies for continuous monitoring and provision of personalized feedback to patients [18].…”
Section: Introductionmentioning
confidence: 99%
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“… 16 Advanced understanding of asthma’s pathophysiology has led to targeted biologic therapies and precision medicine. 17 The rise of digital health interventions, like smart inhalers, offers continuous monitoring and personalized feedback. 18 While these developments are promising, personalized asthma management remains nascent, requiring further research, especially in real-time monitoring and predictive analytics.…”
Section: Introductionmentioning
confidence: 99%
“…While our current study focuses on healthy individuals, we believe that the concept and scenario are applicable and beneficial for asthmatic patients. 17 …”
Section: Introductionmentioning
confidence: 99%