Serum periostin is not related to asthma predictive index

Castro-Rodriguez, José A.; Atton, I.; S., Gregory Villarroel; C, Serrano

doi:10.1016/j.aller.2017.05.012

Cited by 11 publications

(9 citation statements)

References 29 publications

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“…Serum periostin levels showed no difference in preschool wheezers according to the API. 35) The API is inexpensive, less invasive, and has been validated by several studies, 5,20) and the diagnostic accuracy in this study is quite fair, so it can be used for asthma screening in preschool children. The strength of this study is that, unlike other studies, spirometry, AHR, FeNO, and BDR were evaluated in preschool children.…”

Section: Discussionmentioning

confidence: 68%

Asthma predictive index as a useful diagnostic tool in preschool children: a cross-sectional study in Korea

et al. 2020

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Background: It is challenging to diagnose asthma in preschool children. The asthma predictive index (API) has been used to predict asthma and decide whether to initiate treatment in preschool children.Purpose: This study aimed to investigate the association between questionnaire-based current asthma with API, pulmonary function, airway hyperreactivity (AHR), fractional expiratory nitric oxide (FeNO), and atopic sensitization in preschool children.Methods: We performed a population-based cross-sectional study in 916 preschool children aged 4–6 years. We defined current asthma as the presence of both physician-diagnosed asthma and at least one wheezing episode within the previous 12 months using a modified International Study of Asthma and Allergies in Childhood questionnaire. Clinical and laboratory parameters were compared between groups according to the presence of current asthma.Results: The prevalence of current asthma was 3.9% in the study population. Children with current asthma showed a higher rate of positive bronchodilator response and loose and stringent API scores than children without current asthma. The stringent API was associated with current asthma with 72.2% sensitivity and 82.0% specificity. The diagnostic accuracy of the stringent API for current asthma was 0.771. However, no intergroup differences in spirometry results, methacholine provocation test results, FeNO level, or atopic sensitization rate were observed.Conclusion: The questionnaire-based diagnosis of current asthma is associated with API, but not with spirometry, AHR, FeNO, or atopic sensitization in preschool children.

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Section: Discussionmentioning

confidence: 68%

Asthma predictive index as a useful diagnostic tool in preschool children: a cross-sectional study in Korea

et al. 2020

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“…However, they have also addressed a concern regarding the possible confounder effect of the linear growth on serum periostin levels during the early‐childhood phase. Castro‐Rodriguez et al 14 have performed a case‐control study in preschoolers with recurrent wheezing episodes and compared periostin levels according to their asthma predictive index result. No significant difference was found in periostin levels between children with positive and negative asthma predictive index.…”

Section: Discussionmentioning

confidence: 99%

Association of serum periostin levels with clinical features in children with asthma

Yavuz

Bağcı

Bolat

et al. 2021

Pediatric Allergy Immunology

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Background The aim of this study was to investigate the association of serum periostin levels with clinical features in children with asthma. Methods Children with physician‐diagnosed asthma who attended regularly to an outpatient pediatric allergy and asthma center were enrolled in the study along with control subjects. Asthma severity and control status of the patients were evaluated according to the recent GINA guidelines. Results A total of 158 children (125 with asthma and 33 age‐ and sex‐matched control subjects) with a median age of 10.2 years (range 5.9‐17.0) were enrolled. Asthma severity was mild in 41 (32.8%), moderate in 63 (50.4%), and severe in 21 (16.8%) children. Children with asthma had significantly higher periostin levels than controls (53.1 ± 13.1 vs 43.0 ± 11.2 ng/mL, P < .001). The mean serum periostin levels in children with severe asthma (63.8 ± 10.8) were significantly higher than in children with moderate asthma (53.3 ± 12.7) and mild asthma (47.4 ± 11.1) (P < .001). Results of multivariable logistic regression analysis demonstrated an association between serum periostin levels and asthma severity in children (OR, 1.10; 95% CI, 1.04‐1.15, P < .001). When analyzed for the best cut‐off value with the highest combined sensitivity and specificity, a cut‐off value of 52 ng/mL for serum periostin level was obtained with sensitivity, specificity, PPV, and NPV of 100%, 50%, 29%, and 100%, respectively. Conclusion Although serum periostin levels are higher in children with asthma, its diagnostic role in identifying children with severe asthma is limited.

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“…Other inflammatory biomarkers e.g., periostin, CC16 and YK-40, were also tested in population with positive and negative original API. A study done in 48 Chilean preschoolers (aged 24–71 mo) reported no significant differences in serum periostin levels for those with positive API and negative API; and no significant correlation between serum periostin levels and peripheral blood eosinophils (40). Also, no difference in level of serum CC16 levels for preschoolers with a positive API and negative API were found in the same population (41).…”

Section: Predictive Models For Prognostic or Diagnostic Toolsmentioning

confidence: 99%

Predicting Asthma Using Clinical Indexes

2019

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Asthma is no longer considered a single disease, but a common label for a set of heterogeneous conditions with shared clinical symptoms but associated with different cellular and molecular mechanisms. Several wheezing phenotypes coexist at preschool age but not all preschoolers with recurrent wheezing develop asthma at school-age; and since at the present no accurate single screening test using genetic or biochemical markers has been developed to determine which preschooler with recurrent wheezing will have asthma at school age, the asthma diagnosis still needs to be based on clinical predicted models or scores. The purpose of this review is to summarize the existing and most frequently used asthma predicting models, to discuss their advantages/disadvantages, and their accomplishment on all the necessary consecutive steps for any predictive model. Seven most popular asthma predictive models were reviewed (original API, Isle of Wight, PIAMA, modified API, ucAPI, APT Leicestersher, and ademAPI). Among these, the original API has a good positive LR~7.4 (increases the probability of a prediction of asthma by 2–7 times), and it is also simple: it only requires four clinical parameters and a peripheral blood sample for eosinophil count. It is thus an easy model to use in any rural or urban health care system. However, because its negative LR is not good, it cannot be used to rule out the development of asthma.

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Serum periostin is not related to asthma predictive index

Abstract: Serum periostin levels were no significantly different between wheezer pre-schoolers with positive and negative API. More studies are needed to confirm this finding.

Cited by 11 publications

References 29 publications

Asthma predictive index as a useful diagnostic tool in preschool children: a cross-sectional study in Korea

Asthma predictive index as a useful diagnostic tool in preschool children: a cross-sectional study in Korea

Association of serum periostin levels with clinical features in children with asthma

Predicting Asthma Using Clinical Indexes

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