Could platelet indices have diagnostic properties in children with COVID‐19?

Abstract

Introduction Viral infections are often accompanied by reactive thrombocytosis, that is, increased activity of platelets, which is especially common in infants and children. Objective This study aimed to test the diagnostic properties of platelet indices, plateletcrit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW), in children with beta corona virus 2 (SARS‐CoV‐2) infection. Methods The study included 232 patients below the age of 18 admitted to the coronavirus disease (COVID‐19) isolation wards at the Institute for Child and Youth Health Care of Vojvodina. PCT, MPV and PDW values on the day of admission were recorded. In total, 245 controls were selected from those treated for SARS‐CoV‐2 negative respiratory infections. Descriptive and inferential statistical analyses were performed. Results MPV and PDW were found important as independent predictors for COVID‐19 in children. Furthermore, the joint effect of MPV and PDW for predicting COVID‐19 was confirmed. The parameters showed better sensitivity than specificity. Conclusion Our study showed that PCT is not clinically significant, while MPV and PDW have diagnostic value in predicting COVID‐19 in children. In perspective, these parameters could be implemented in the various learning algorithms in order to achieve earlier diagnosis and treatment.

Hemogram‐based decision tree models for discriminating COVID‐19 from RSV in infants

“…Machine learning methods have the ability to extract important variables from large datasets, which is crucial for classification into groups, that is, decision‐making. Important independent diagnostic features in COVID‐19 have been confirmed in numerous studies, with some of them being: WBC, NEU#, LYM#, MPV, PDW, and CRP 16–20 . In this study, the independent COVID‐19 predictors were shown to be the following: RDW, MPV, PDW, BASO#, MLR, and NMR.…”

“…Important independent diagnostic features in COVID‐19 have been confirmed in numerous studies, with some of them being: WBC, NEU#, LYM#, MPV, PDW, and CRP. 16 , 17 , 18 , 19 , 20 In this study, the independent COVID‐19 predictors were shown to be the following: RDW, MPV, PDW, BASO#, MLR, and NMR. However, in decision‐making, the following variables were significant for construction of the random forest model: HCT, LYM#, CRP, SII, WBC, MONO#, BASO#, MCHC, RDW, and NEU#.…”

“…Important independent diagnostic features in COVID-19 have been confirmed in numerous studies, with some of them being: WBC, NEU#, LYM#, MPV, PDW, and CRP. [16][17][18][19][20] In this study, the independent COVID-19 predictors were shown to be the following: RDW, MPV, PDW, BASO#, MLR, and NMR. However, in decision-making, the following variables were significant for construction of the random forest model: HCT, The results of a multicentric study by Oh et al 21 also demonstrated that hemoglobin, HCT, LYM#, platelets, and WBC could be considered important variables for predicting COVID-19 using hemogrambased machine learning models.…”

Platelet link of hemostasis in polymorbid patients with acute coronary syndrome and COVID-19

“…PDW и PCT -тромбоцитарные показатели, характеризующие распределение тромбоцитов по размеру и тромбокрит соответственно. Повышенные значения данных показателей могут указывать на усиленную деструкцию и в то же время на образование новых молодых и функционально более активных тромбоцитов, поскольку воспалительные реакции острой фазы приводят к мегакариопоэзу [33].…”

Clinical Hematochemical Parameters in Differential Diagnosis between Pediatric SARS-CoV-2 and Influenza Virus Infection: An Automated Machine Learning Approach

“…Th early recognition of SARS-CoV-2 infection remains a diagnostic challenge, especially in pediatrics. In order to begin treatment and prevent the spread of infection, it is necessary to identify positive patients as quickly as possible [11,12]. With the development of information technologies, the possibilities for the application of intelligent software systems in disease diagnosis and patient triage increase [8,9].…”