Journal of Pulmonology and Clinical Research

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Opinion Article - Journal of Pulmonology and Clinical Research (2023) Volume 6, Issue 2

Characterization and cluster analyses of elderly asthma

Aadhya Alisah*

Department of Pulmonology, University of Cambridge, England, United Kingdom

*Corresponding Author:
Aadhya Alisah
Department for Pulmonology
University of Cambridge
England, United Kingdom
E-mail:aadhya@alisah.uk

Received:28-Feb-2023, Manuscript No. AAJPCR-23-94557; Editor assigned: 03-Mar-2023, PreQC No. AAJPCR-23-94557(PQ); Reviewed: 17-Mar-2023, QC No. AAJPCR-23-94557; Revised: 22-Mar-2023, Manuscript No. AAJPCR-23-94557(R); Published: 29-Mar-2023, DOI:10.35841/aajpcr-6.2.136

Citation: Alisah A. Characterization and cluster analyses of elderly asthma. J Pulmonol Clin Res. 2023;6(2):136

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Abstract

Cluster analysis is a statistical technique used to group similar data points into clusters based on the similarity of their characteristics. In the case of elderly asthma-related articles, cluster analysis can be used to identify groups of articles that share similar themes or topics.

Abstract

Cluster analysis is a statistical technique used to group similar data points into clusters based on the similarity of their characteristics. In the case of elderly asthma-related articles, cluster analysis can be used to identify groups of articles that share similar themes or topics.

 

Keywords

Asthma, Pulmonology, Cluster analysis.

Introduction

To conduct a cluster analysis of elderly asthma-related articles, we would first need to collect a dataset of articles related to the topic. This could be done by conducting a literature review of relevant articles published in medical journals, using search terms such as "elderly asthma", "asthma in older adults", and "asthma management in older patients". Once we have collected a sufficient number of articles, we can begin the process of clustering them. There are several methods that can be used for cluster analysis, but one common approach is hierarchical clustering. This method involves iteratively grouping data points based on their similarity until all data points have been grouped into clusters. The resulting clusters can be visualized using a dendrogram, which shows the hierarchical structure of the clusters.[1].

In the case of elderly asthma-related articles, we might use text mining techniques to extract relevant keywords and phrases from each article. We could then use these keywords and phrases as input to the cluster analysis algorithm. For example, we might extract keywords such as "inhaled corticosteroids", "lung function", and "comorbidities" from each article and use these as input to the clustering algorithm. Once we have generated the clusters, we can analyze the themes and topics that emerge from each cluster. For example, one cluster might be focused on the use of inhaled corticosteroids in elderly asthma patients, while another cluster might be focused on the relationship between asthma and comorbidities such as cardiovascular disease and diabetes. By analyzing the clusters in this way, we can gain insights into the key themes and topics that are prevalent in the literature on elderly asthma.[2].

Overall, cluster analysis can be a powerful tool for analyzing large datasets of articles on a particular topic. By grouping similar articles into clusters based on their characteristics, we can identify key themes and topics that are prevalent in the literature. This information can be valuable for researchers, clinicians, and policymakers who are interested in understanding and addressing the challenges of managing asthma in older adults. Asthma is a chronic respiratory disease that affects people of all ages, including non-elderly patients. It is characterized by inflammation and narrowing of the airways, which leads to symptoms such as wheezing, coughing, shortness of breath, and chest tightness.[3].

Non-elderly patients with asthma can present with varying degrees of severity, ranging from mild intermittent to severe persistent. The severity of asthma is typically determined by the frequency and intensity of symptoms, as well as lung function tests. In terms of risk factors for asthma, non-elderly patients may have a family history of the condition, be exposed to environmental allergens such as pollen or dust mites, or have a history of respiratory infections. Diagnosis of asthma in non-elderly patients involves a thorough medical history, physical examination, and lung function tests such as spirometry.[4].

Other tests, such as allergy testing or chest X-rays, may also be performed to help diagnose or rule out other respiratory conditions. Treatment for asthma in non-elderly patients typically involves the use of bronchodilators and inhaled corticosteroids to control symptoms and reduce inflammation in the airways. Other treatments, such as leukotriene modifiers or immunomodulators, may also be used in certain cases. Overall, the characterization of asthma in non-elderly patients involves a comprehensive assessment of symptoms, risk factors, and lung function tests, as well as an individualized treatment plan tailored to the patient's needs.[5].

Conclusion

Asthma is a chronic respiratory disease that can affect individuals of any age. However, it is more common in children and young adults. The hallmark of asthma is airway inflammation, leading to recurrent episodes of wheezing, coughing, chest tightness, and shortness of breath. Non-elderly patients with asthma may have a variety of triggers that can exacerbate their symptoms, including allergens, irritants, infections, exercise, and emotions. Diagnosis is based on a combination of medical history, physical exam, and pulmonary function tests. Treatment includes both quick-relief and long-term control medications, as well as avoidance of triggers when possible. With proper management, most patients with asthma can lead normal, active lives.

References

  1. Inoue H, Niimi A, Takeda T, et al.Pathophysiological characteristics of asthma in the elderly: a comprehensive study..Ann Allergy Asthma Immunol. 2014;113(5):527-33.

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  2. Hanania NA, King MJ, Braman SS, et al. Asthma in the elderly: current understanding and future research needs-a report of a National Institute on Aging (NIA) workshop..J Allergy Clin Immunol. 2011;128(3):S4-24.

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  3. Park HW, Kwon HS, Kim TB, et al. Differences between asthma in young and elderly: results from the COREA study..Respir Med. 2013;107(10):1509-14.

    4. Google Scholar, Cross Ref

  4. Moore WC, Bleecker ER, Curran-Everett D, et al.Characterization of the severe asthma phenotype by the national heart, lung, and blood institute's severe asthma research program.. J Allergy Clin Immuno. 2007 119(2):405-13.

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  5. Stupka E, deShazo R. Asthma in seniors: Part 1. Evidence for underdiagnosis, undertreatment, and increasing morbidity and mortality..Am J Med. 2009;122(1):6-11.

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