Introduction
Influenza is an acute viral respiratory disease caused by influenza A and B viruses. Annual seasonal influenza epidemics of variable severity lead to morbidity and mortality worldwide [
1‐
3]. Influenza is one of the commonest causes of acute respiratory illness and loss of school days in children. Household-based and community-based studies in different countries have shown that influenza virus infections and illness rates are highest in children [
2]. The infection is usually self-limiting, although some individuals particularly young children have a higher risk of complications, such as pneumonia, septic shock and multiple organ dysfunction, resulting in hospital admissions, or in hospital deaths [
4]. It is worth noting that most individuals with influenza disease, both children and adults, that required intensive care, had no underlying conditions [
5,
6]. Therefore, biomarkers that help with early diagnosis are essential to detect severe influenza infection in children.
Platelets (PLTs), fragments of megakaryocyte cytoplasm, play a central role in pathological thrombosis [
7]. In addition, platelets significantly contribute to the inflammatory reactions and immune response in various types of infections including influenza [
8,
9]. Previous studies indicate that platelet parameters are associated with the inflammatory response and severity of many infectious diseases [
10‐
13]. Platelet parameters consist of PLT count, platelet distribution width (PDW), mean platelet volume (MPV), and plateletcrit (PCT), obtained by automated cell counters. Yu et al. showed that PLT count was an independent predictor of severe hemorrhagic fever with renal syndrome (HFRS) caused by Hanta virus [
11], Barrett et al. showed that MPV associate with increased critical illness and all-cause mortality among hospitalized COVID-19 patients [
12]. Additionally, PDW has been reported to be a widely applied and reliable marker of platelet activation and have recently been shown to be an independent risk factor of postoperative pneumonia in patients with type A acute aortic dissection (AAAD) [
10], as well as an useful indicator for patients with severe burns [
13]. However, the role of these parameters in influenza has been rarely investigated. There are very few reports about their clinical values to distinguish non-severe from severe influenza in children. The aim of the current study, therefore, was to investigate whether platelet parameters would be useful in distinction and evaluating the severity of influenza virus infection.
Methods
Patients and inclusion criteria
A retrospective study was conducted by analyzing data collected from children confirmed influenza, first-visit outpatients at the Guangdong Second Provincial General Hospital from January 1, 2017 to December 31, 2020. The study complied with the Declaration of Helsinki, and the Ethics Committee of Guangdong Second Provincial General Hospital approved the study protocol. We obtained informed consent from all participants and their legal guardians involved in our study. Participants enrolled in the study were given written informed consent. A total of 636 cases were enrolled: 64 healthy controls, 424 influenza A children and 148 influenza B children. The diagnosis of influenza A and B were confirmed by laboratory test for influenza virus antigens from the nasopharyngeal swab samples showing positive result by the colloidal gold method with a very high specificities (> 98%) [
14,
15]. Meanwhile, children combining with other infections or having undergone antiviral therapy were excluded. All the patients enrolled in this study underwent routine blood tests and the detection of influenza virus antigens within 48 h of the onset of fever or acute respiratory symptom. According to the clinical practice guidelines for the diagnosis and management of children with influenza (2020) [
15,
16], Both children with influenza A and B were divided into non-severe and severe group. ‘Non-severe’ group was defined as influenza infected children with mild clinical symptoms, fever, cough, laryngopharyngitis tracheitis, bronchitis, gastroenteritis or other influenza symptoms; ‘severe’ group was defined as influenza infected children occurring one or more of following situations: pneumonia, agitation, unresponsiveness, convulsions, somnolence, dyspnea, vomiting and diarrhea with dehydration or electrolyte imbalance. Meanwhile, 64 healthy subjects (35 < 4 years and 29 ≥ 4 years), who came to the hospital for a health care or a routine examination, were enrolled as a healthy control group after being proved to have normal laboratory indicator levels, did not have any respiratory or other infection symptoms.
Instruments and reagents
The neutrophil count, lymphocyte count, platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT) were determined with a BC-5390 automatic hematology analyzer and associated reagents (Shenzhen Mindray Bio-Medical Electronics Co. Ltd., China), according to the manufacture’s instruction. The equipment was maintained and calibrated according to the requirements. Internal quality control and external quality assessment were performed.
Data collection
For each patient, all laboratory tests were conducted at admission and the following data were collected: clinical characteristics, laboratory results including complete blood count, and chest X-ray. Patient data was obtained from hospital computer database system and patients’ medical records.
Statistical analyses
Data were analyzed using the IBM SPSS Statistics 17.0, and data were expressed as median ± standard deviation (SD). The Independent sample t-test was used to compare two independent groups, categorical variables were analyzed with chi-square test. The Games-Howell one-way ANOVA was used to compare multiple groups, the combined detection of laboratory indicators was analyzed with the receiver operating characteristic curve (ROC). All tests were two-sided and a P < 0.05 was considered statistically significant.
Discussion
Influenza primarily affects the respiratory system and represents one of the most frequent causes of acute upper respiratory tract infections during the winter season. During 4 non-pandemic influenza seasons (2017–2020), about 424 influenza A and 148 influenza B cases were identified in this study. The prevalence rate of influenza A was much higher than that of influenza B. This is consistent with our previous findings and other research that influenza A had more ability to cause pandemics than influenza B [
17,
18]. Additionally, being a little different from report of other research group [
19], this study showed that influenza B positive children were more prone to be infected in the lower respiratory tract (bronchitis and pneumonia), the possible reasons for this difference are uncertain and require further study. On the other hand, influenza A was more likely to cause other system symptoms in addition to respiratory symptoms. It may be because influenza A virus is the most virulent influenza virus type and leads to the most severe disease outcomes [
20]. Furthermore, we found that young age, as already reported, is an important risk factor for the severe influenza infection [
21].
It is very difficult to diagnose influenza in young children based on its clinical symptoms alone, as no existing specific signs [
22]. Therefore, laboratory indicators play an essential role in the early accurate diagnosis and severity assessment. In view of the opposite change trend of lymphocyte and neutrophil with age, and platelet parameters may be partly age-dependent [
23,
24], the subjects were divided into the < 4 years group and ≥ 4 years group. We analyzed the results of laboratory indicators and found that lymphocyte count, neutrophil count, NLR, Platelet count, MPV, PCT, and PDW all showed a significant difference for children(≥ 4 years) with influenza A and B when compared to healthy individuals, while different situations were present among children under 4 years old. The different performance between these two groups may be due to the fact that children under 4 years old are an immunologically naïve population, indicating less immune response and inflammatory reaction [
25,
26]. This pattern seemed to reflect the development of acquired and adaptive immune system in children [
27]. These results indicated that lymphocyte count, neutrophil count, NLR, Platelet count, MPV, PCT, and PDW could be used as indicators for distinguishing children(≥ 4 years) with influenza from health, while neutrophil count and PDW could be used as biomarkers to differentiate influenza infection in children younger than 4 years old. Lymphocyte count and Neutrophil count are convenient and quick index of inflammation detections in laboratory examination, they are used in the diagnosis, treatment and prognosis evaluation of many disease [
28,
29]. Platelet parameters, as newer, easily accessible, and inexpensive biomarkers had been reported to increase the accuracy of the diagnosis of many other infections [
30‐
32]. We found that the joint detection of platelet parameters and other inflammatory indicators showed better performance than detection of single indicator.
According to the clinical practice guidelines for the diagnosis and management of children with influenza [
15,
16], we divided children into a non-severe and severe group. The findings from this study show that the inflammatory indicators involved performed very differently between non-severe and severe group in children with influenza A and B. Indeed, there are more inflammation indicators that displayed significant differences between the non-severe and severe group in influenza A. According to the previous research, influenza A disease is more severe than influenza B disease, with a more intense inflammatory response that reflects in an increase in systemic inflammatory markers [
19,
33,
34]. Our findings are consistent with these prior findings. Moreover, we found that the platelet count was significantly decreased and PDW showed a marked increase in the non-severe group, especially for children with influenza A. Many studies have confirmed that many receptors for various pathogens were expressed on the surface of the platelet, enabling platelet to directly recognize and respond to invading viruses [
35,
36]. The research from Milka Koupenova.et al. displayed that influenza virus during acute influenza infection can potentially invade into blood and become engulfed by platelets, then digestion of the virus was observed in platelet [
37]. Seok-Joo Kim .et al. also observed a marked increase in platelet accumulation and the formation of large platelet aggregates within the lung vasculature following influenza A virus infection [
38]. Influenza virus infection lead to the activation and consumption of platelet, contributing to the obvious drop of platelet count in peripheral blood as observed in the present study. PDW had been disclosed to be a more specific indicator of platelet reactivity than MPV [
39,
40], an elevated PDW reflects increasing platelet destruction and variations in the size of newly formed immature platelets [
41]. Being coincident with the previous studies, our research showed that the level of PDW rather than MPV rose significantly in the non-severe group for children with influenza (A and B), compared to the healthy control.
Additionally, unlike the trend of non-severe group, the severely infected ones exhibit a significant increase in the platelet count and a marked drop in the PDW. The main reason for this difference may be the different degree of systemic inflamma-tory response between severe and non-severe group. Satoshi Nishimura.et al. found that IL-1α could induce a much rapid platelet count increase into the vessel by a new way named “megakaryocyte rupture” in response to inflammatory stimuli or acute platelet requirement for platelet recovery as a host defense. Different to the traditional thrombopoiesis occurring via proplatelet formation (PPF) in the presence of thrombopoietin (TPO),the platelets release from megakaryocyte rupture appeared to a much more number and display more spheroid just liked mature platelets while PPF-dependent platelets were longitudinal and immature [
42]. There are several studies have showed that influenza patients displayed markedly increased expression of IL-1α, and the expression level positively correlate with the severity of influenza infection, as well as the elevation of platelet count [
42‐
45]. Notably, our earlier study has indicated that severe group of children with influenza expressed much higher levels of CRP and SAA, indicating more severe inflammatory response [
18]. The present findings indirectly mirror the previous findings from a clinical point of view, this would also explain why the level of PDW decreased significantly in the severe group for children with influenza. The above results were similar to our study and confirmed that the change of platelet count and PDW may reflect the severity of influenza infection.
The limitations of this report included that, as a single-center study, the characteristics of enrolled children may not be representative, multi-center studies are needed to confirm our findings. In addition, the critically severe patients were not involved in this study, which would affect our conclusions, we would continue to collect more critically severe participants in future studies.
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