Background
Measured Factor
Likelihood to develop asthma
Measured Factor Detail
mAPI is effecient tool helpful for pediartrics which can assess the asthma occurence. A positive mAPI quantifies the increased probability of asthma occurence in children thus can be helpful in managing the asthma clinically at initial stage only.
Measured Factor Low Impact
- All boxes marked negatively indicates no chances of development of asthma by age 11
Measured Factor High Impact
- If all boxes are marked positively then probability of development becomes 98% specific by age 11
Result Interpretation
Ranges Ranges
- Critical High: Positive
- Normal: Negative
- Normal Adult Male: Negative
- Normal Adult Female: Negative
- Normal Pediatric: Negative
- Normal Neonate Female: Negative
- Normal Geriatric Male: Negative
- Normal Geriatric Female: Negative
Test Limitations
This index is applicable only when wheezing episodes are ≥4 per year
Studies
Study Validation 1
The objective of this study was to assess the ability of the modified Asthma Predictive Index (mAPI) in predicting future asthma probability. A total of 289 subjects (age 6, 8, and 11 years) with a family history of allergy and/or asthma were recruited in the study. Both mAPI and the m2API were calculated to get a predictive value. Results showed that mAPI had high predictive value for asthma progression which was decreased if wheezing episodes were reduced to 2 (m2API). It confirmed that mAPI was more acceptable and reliable test than m2API thus can be applied clinically in decision making of asthma progression in prediartics
Study Validation 2
The aim of the study was to predict the performance of Asthma Predictive Indices (API) in preschool children. A total of 1954 children from age 1 to 10 years were studied. Frequency of wheeze and API were evaluated and their correlation with asthma was assessed using logistic regression. Results showed that API had positive predictive values of 26% at age 7 year and odd ratios were 5.2. The discriminative ability for all prediction rules was moderate and overall prediction was low. This study concludes that API was not a powerful tool in predicting future of asthma in children so further improvements are required
Study Additional 1
The aim of the study was to analyze the etiological factors in children with chronic cough. A total 563 children with chronic cough were involved in the study. The asthma diagnosis was done based on the patients’ symptoms and medical history, and was supported with laboratory findings. Modified Asthma Predictive Index (mAPI) and Global Initiative for Asthma (GINA) report 2014 were utilized in diagnosing the asthma. Results showed that psychogenic cough was the 2nd most common diagnosis in the children over 6 years of age. Asthma was present in 24.9% whereas asthma like symptoms were shown in 19 %. This study concluded that asthma and asthma-like symptoms were the most frequent diagnosis in children. Various age groups in children may have a different order of frequencies.
Study Additional 2
This study focused to validate the mAPI and m2API in predicting the asthma diagnosis at 3 years of age. A total 416 subjects were involved in the study. Predictive values were determined by Child health questionnaires and clinical assessments. Performance for predictive indices was measured by binomial distribution and 95% confidence interval. Results showed that m2API was most sensitive (66.7% (95% Cl, 44.9-88.4) compared to physician-diagnosed asthma. Decrease in wheezing frequency had a negative impact on sensitivity of m2API and mAPI. This study concluded that m2API was most sensitive method of all however none of the method was accurate in diagnosing the asthma in children and further studies are warranted.
