Mean platelet volume increased in children with asthma

Atopic respiratory diseases and IgE sensitization are associated with leukocyte subset concentrations in 14,440 blood donors

BACKGROUND AND AIMS

Allergic rhinitis (AR), allergic conjunctivitis (AC), and asthma are characterized by activation of the immune system. The aim of this study was to explore the long-term association between AR, AC, asthma, and specific immunoglobulin E (IgE) and blood platelet and leukocyte differential counts.

MATERIAL AND METHODS

In the Danish Blood Donor Study, 14,440 participants from Central Denmark Region had platelet and leukocyte differential counts available and completed a questionnaire regarding AR, AC, and asthma. Of these participants, 8485 were tested for IgE to inhalation allergens.

RESULTS

The prevalence of AR, AC, asthma, and IgE sensitization was 19%, 15%, 9%, and 29%, respectively. AR, AC, asthma, wheeze, and IgE sensitization was associated with increased blood eosinophil concentration even in IgE sensitized participants who did not report any allergy or asthma. The strongest associations were observed for participants with current disease. We found no differences in eosinophil concentration between months without symptoms and months with symptoms of AR and asthma.

CONCLUSION

AR, AC, asthma, wheezing, and IgE sensitization to inhalation allergens are associated with increased eosinophil concentration. This may reflect a persistent inflammation even in periods without symptomatic disease.

Diagnosis of Asthma Based on Routine Blood Biomarkers Using Machine Learning

Intelligent medical diagnosis has become common in the era of big data, although this technique has been applied to asthma only in limited contexts. Using routine blood biomarkers to identify asthma patients would make clinical diagnosis easier to implement and would enhance research of key asthma variables through data mining techniques. We used routine blood data from healthy individuals to construct a Mahalanobis space (MS). Then, we calculated Mahalanobis distances of the training routine blood data from 355 asthma patients and 1,480 healthy individuals to ensure the efficiency of MS. Orthogonal arrays and signal-to-noise ratios were used to optimize blood biomarker variables. Receiver operating characteristic (ROC) curve was used to determine the threshold value. Ultimately, we validated the system on 182 individuals based on the threshold value. Out of 35 patients with asthma, MTS correctly classified 94.15% of patients. In addition, 97.20% of 147 healthy individuals were correctly classified. The system isolated 7 routine blood biomarkers. Among these biomarkers, platelet distribution width, mean platelet volume, white blood cell count, eosinophil count, and lymphocyte ratio performed well in asthma diagnosis. In brief, MTS shows promise as an accurate method to identify asthma patients based on 7 vital blood biomarker variables and threshold determined by the ROC curve, thus offering the potential to simplify diagnostic complexity and optimize clinical efficiency.

Is Decreased Mean Platelet Volume in Allergic Airway Diseases Associated With Extent of the Inflammation Area?

OBJECTIVE

The aim of this study was to determine the relationship between mean platelet volume (MPV) level and the extent of airway inflammation in allergic airway diseases and in subgroups by comparison of inflammatory markers.

MATERIALS AND METHODS

A retrospective examination was made of 250 patients with allergic airway disease in the symptomatic phase, who had been newly diagnosed or who had abandoned treatment for at least 6 months. These patients were separated into 3 groups of asthma without allergic rhinitis (A - AR, n = 107), asthma with allergic rhinitis (A + AR, n = 83) and allergic rhinitis without asthma (AR - A, n = 60).

RESULTS

The MPV values of the study groups were found to be significantly lower than those of the control group (P < 0.001). MPV was determined to be negatively correlated with white blood cells, neutrophil count, platelet count and immunoglobulin E level in the study groups. The lowest MPV value was determined in the A + AR group (8.035 ± 1.05fL), which had the most extensive airway involvement, and the highest MPV value was determined in the AR - A group (8.109 ± 1.11fL) with the least airway involvement. MPV level sensitivity and the specificity of the best cutoff level were 74.5% and 40.8%, respectively. The cutoff level of 8.18fL for MPV level was found to have moderate sensitivity and low specificity for predicting pulmonary embolism.

CONCLUSIONS

The results of this study showed that MPV is lower in allergic airway diseases and a negative correlation was determined between MPV and inflammation markers but no statistically significant difference was determined between MPV and extent of the inflammation area.

Reduction in mean platelet volume in children with acute bronchiolitis

AIM

Platelets which are known to play a role in inflamation change their shapes when they are activated and this change is reflected in mean platelet volume and platelet distribution width values. Therefore, the mean platelet volume and platelet distribution width values are considered to be beneficial parameters for the diagnosis and treatment of many inflammatory diseases. The aim of the study was to evaluate platelet volume indices in children with acute bronchiolitis.

MATERIAL AND METHODS

A total of 514 infants who were below the age of 2 years old were evaluated in this study. Three hundred thirteen of these infants were diagnosed with acute bronchiolitis patients and 201 were healthy children. The patients were separated into four groups as mild, moderate, severe bronchiolitis and the control patient group. The groups were evaluated in terms of significant differences in the values of mean platelet volume and platelet distribution width. A p value of <0.05 was considered statistically significant for all results.

RESULTS

The mean platelet volume was found to be 6.8±0.6 fL in the patients with mild bronchiolitis attack, 6.7±0.6 fL in the patients with moderate bronchiolitis attack, 6.5±0.5 fL in the patients with severe bronchiolitis attack and 7.3±1.1 fL in the control group. The mean platalet volume was statistically significantly lower in the mild, moderate and severe bronchiolitis attack groups compared to the control group (p=0.000). The platelet distribution width was found to be 17.2%±0.83 in the mild bronchiolitis attack group, 17.1%±0.96 in the moderate bronchiolitis attack group, 17.3%±0.87 in the severe bronchiolitis attack group and 16.9±1.6% in the control patient group. This difference was not statistically significant (p=0.159). The platelet count was statistically significantly higher in the mild, moderate and severe bronchiolitis attack groups compared to the control group (p=0.000).

CONCLUSIONS

The mean platalet volume is decreased in patients with acute bronchiolitis. It is not a useful criterion in determining the severity of bronchiolitis attack. It is important that clinicians evaluating hemogram results to also interprete this variable.