Changes of Platelet Indices in Juvenile Idiopathic Arthritis in Acute Phase and After Two Months Treatment

Platelet Indices as Diagnostic Marker for Kawasaki Disease

Various candidate biomarkers have been investigated for the early and accurate diagnosis of Kawasaki disease (KD). We aimed to evaluate platelet activity using platelet indices (PI) in patients with KD or simple febrile illness to determine whether these indices might support a diagnosis of KD. Another objective of the study was to delineate the changes in PI from the acute to convalescent phases of KD. A total of 225 patients with complete KD (cKD), 110 with incomplete KD (iKD), and 71 with simple febrile illness (control) were enrolled. PI included mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT). We serially measured the serum PI four times for each patient with KD from the acute to convalescent phases: on D0 (day of intravenous immunoglobulin (IVIG) treatment) and repeated on days 2 (D2), 14 (D14), and 56 (D56) after IVIG therapy. Data from the control group were collected during the acute stage of the disease (D0). The platelet counts in the cKD (341±103×10³/mm³) and iKD (374±135×10³/mm³) at diagnosis were higher than the control group (290±128×10³/mm³). The PCT in the cKD (0.284±0.085%) and iKD (0.313±0.109%) groups at diagnosis were also higher than the control group (0.246±0.108%). However, the MPV and PDW levels in the KD group were not statistically significant. Therefore, platelet count and PCT are adjuvant parameters for the differential diagnosis of KD from a simple febrile illness.

Which hematological markers have predictive value as early indicators of severe COVID-19 cases in the emergency department?

Background/aim

Coronavirus 2019 disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pandemic infectious disease that causes morbidity and mortality. As a result of high mortality rate among the severe COVID-19 patients, the early detection of the disease stage and early effective interventions are very important in reducing mortality. Hence, it is important to differentiate severe and nonsevere cases from each other. To date, there are no proven diagnostic or prognostic parameters that can be used in this manner. Due to the expensive and not easily accessible tests that are performed for COVID-19, researchers are investigating some parameters that can be easily used. In some recent studies, hematological parameters have been evaluated to see if they can be used as predictive parameters.

Materials and methods

In the current study, almost all hematological parameters were used, including the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, monocyte/lymphocyte ratio, mean platelet volume to lymphocyte ratio, mean platelet volume to platelet ratio, plateletcrit, and D-dimer/fibrinogen ratio, neutrophil/lymphocyte/platelet scoring system, and systemic immune-inflammation index. A total of 750 patients, who were admitted to Ankara City Hospital due to COVID-19, were evaluated in this study. The patients were classified into 2 groups according to their diagnosis (confirmed or probable) and into 2 groups according to the stage of the disease (nonsevere or severe).

Results

The values of the combinations of inflammatory markers and other hematological parameters in all of the patients with severe COVID-19 were calculated, and the predicted values of these parameters were compared. According to results of the study, nearly all of the hematological parameters could be used as potential diagnostic biomarkers for subsequent analysis, because the area under the curve (AUC) was higher than 0.50, especially for the DFR and NLR, which had the highest AUC among the parameters.

Conclusion

Our findings indicate that, the parameters those enhanced from complete blood count, which is a simple laboratory test, can help to identify and classify COVID-19 patients into non-severe to severe groups.

Platelet Glycoprotein Ib α-Chain as a Putative Therapeutic Target for Juvenile Idiopathic Arthritis: A Mendelian Randomization Study

Objective

To ascertain the role of platelet glycoprotein Ib α‐chain (GPIbα) plasma protein levels in cardiovascular, autoimmune, and autoinflammatory diseases and whether its effects are mediated by platelet count.

Methods

We performed a two‐sample Mendelian randomization (MR) study, using both a cis‐acting protein quantitative trait locus (cis‐pQTL) and trans‐pQTL near the GP1BA and BRAP genes as instruments. To assess if platelet count mediated the effect, we then performed a two‐step MR study. Putative associations (GPIbα/platelet count/disease) detected by MR analyses were subsequently assessed using multiple‐trait colocalization analyses.

Results

After correction for multiple testing (Bonferroni‐corrected threshold P ≤ 2 × 10⁻³), GPIbα, instrumented by either cis‐pQTL or trans‐pQTL, was causally implicated with an increased risk of oligoarticular and rheumatoid factor (RF)–negative polyarticular juvenile idiopathic arthritis (JIA). These effects of GPIbα appeared to be mediated by platelet count and were supported by strong evidence of colocalization (probability of all 3 traits sharing a common causal variant ≥0.80). GPIbα instrumented by cis‐pQTL did not appear to affect cardiovascular risk, although the GPIbα trans‐pQTL was associated with an increased risk of cardiovascular diseases and autoimmune diseases but a decreased risk of autoinflammatory diseases, suggesting that this trans‐acting instrument operates through other pathways.

Conclusion

The role of platelets in thrombosis is well‐established; however, our findings provide some novel genetic evidence that platelets may be causally implicated in the development of oligoarticular and RF‐negative polyarticular JIA, and indicate that GPIbα may serve as a putative therapeutic target for these JIA subtypes.

Evaluation of Plateletcrit and Platelet Distribution Width in Patients with Non-Alcoholic Fatty Liver Disease: A Retrospective Chart Review Study

Background

Platelets are considered to be essential in proinflammatory environments, including atherosclerosis. The degree of platelet activation has been demonstrated to be correlated with plateletcrit and platelet distribution width. The main purpose of this study was to assess the relationship between plateletcrit (PCT), platelet distribution, and the degree of hepatic steatosis in patients with non-alcoholic fatty liver disease (NAFLD).

Material/Methods

We enrolled 225 biopsy-proven NAFLD patients and 142 control subjects without NAFLD. NAFLD patients were separated into 2 groups according to percentage of steatosis. Demographic and clinical data were collected retrospectively.

Results

PCT level was significantly higher in NAFLD group I and group II than in the control group. PCT was higher in the NAFLD groups than in the control group. However, there was no difference according to PCT and PDW levels between NAFLD groups.

Conclusions

In this study, a relationship was found between PCT and hepatosteatosis, but no relationship was found with PDW. PCT might be a useful biomarker for early detection of steatohepatitis in patients with nan-alcoholic fatty liver disease.

Mean Platelet Volume and Immature Platelet Fraction in Autoimmune Disorders

Mean platelet volume (MPV), measured using automated blood analysers, has been appraised as a potential biomarker in cardiovascular disease, diabetes mellitus, and cancer. The test, a useful tool in differentiation of thrombocytopenic states, has now been carried out for autoimmune disorders, but data are yet scarce. Controversial results have been obtained in systemic and organ-specific autoimmune disorders. Another test, the immature platelet fraction (IPF) reflects the amount of young, reticulated platelets. IPF is calculated by automated hematology analysis or flow cytometry, and it is usually high in patients with rapid platelet destruction. For both MPV and IPF, standardization of cutoff is a major need. In this review, we focus the current applicability of MPV and IPF as biomarkers in patients with autoimmune diseases.

Mean Platelet Volume (MPV) as an indicator of disease activity and severity in lupus

Background: Amongst the different clinical and laboratory parameters used to monitor disease activity in systemic lupus erythematosus (SLE), mean platelet volume (MPV) is a novel biomarker. Although MPV has been studied in other rheumatological conditions like rheumatoid arthritis, its role in adult SLE needs to be defined, especially in Pakistan. Methods: The aim of this study was to evaluate the role of MPV as a biomarker of disease activity in SLE. Fifty patients were recruited through a consecutive non-probability sampling technique for this cross-sectional study.  On the basis of their SLE disease activity index (SLEDAI) score of greater or lesser than 5, these 50 participants were divided into two equal groups respectively;25 patients with active SLE, and another 25 participants with stable, inactive lupus. MPV was measured in each group and compared using SPSS version 16. MPV was also correlated with SLEDAI and erythrocyte sedimentation rate (ESR). Independent sample t-test and Spearman’s rho and Pearson’s correlation tests were applied. Sensitivity and specificity of MPV were checked through ROC analysis.    Results: The MPV of patients with active SLE (n=25, mean [M]=7.12, SD=1.01) was numerically lower than those in the inactive-SLE group (n=25, M= 10.12, SD=0.97), and this was statistically significant ( P<0.001). MPV had an inverse relationship with both ESR (r=-0.93, P<0.001) and SLEDAI (r _s= -0.89, P<0.001). However, there was a strong positive correlation between ESR and SLEDAI (r _s=0.90, P<0.001). For MPV, a cutoff value of less than 8.5fl had a sensitivity of 92% and a specificity of 100% ( P< 0.001).  Conclusions: Higher disease activity in SLE is associated with a correspondingly low MPV.

Mean Platelet Volume (MPV) as an indicator of disease activity and severity in lupus

Background: Amongst the different clinical and laboratory parameters used to monitor disease activity in systemic lupus erythematosus (SLE), mean platelet volume (MPV) is a novel biomarker. Although MPV has been studied in other rheumatological conditions like rheumatoid arthritis, its role in adult SLE needs to be defined, especially in Pakistan. Methods: The aim of this study was to evaluate the role of MPV as a biomarker of disease activity in SLE. Fifty patients were recruited through a consecutive non-probability sampling technique for this cross-sectional study.  On the basis of their SLE disease activity index (SLEDAI) score of greater or lesser than 5, these 50 participants were divided into two equal groups respectively;25 patients with active SLE, and another 25 participants with stable, inactive lupus. MPV was measured in each group and compared using SPSS version 16. MPV was also correlated with SLEDAI and erythrocyte sedimentation rate (ESR). Independent sample t-test and Spearman's rho and Pearson's correlation tests were applied. Sensitivity and specificity of MPV were checked through ROC analysis.    Results: The MPV of patients with active SLE (n=25, mean [M]=7.12, SD=1.01) was numerically lower than those in the inactive-SLE group (n=25, M= 10.12, SD=0.97), and this was statistically significant ( P<0.001). MPV had an inverse relationship with both ESR (r=-0.93, P<0.001) and SLEDAI (r _s= -0.89, P<0.001). However, there was a strong positive correlation between ESR and SLEDAI (r _s=0.90, P<0.001). For MPV, a cutoff value of less than 8.5fl had a sensitivity of 92% and a specificity of 100% ( P< 0.001).  Conclusions: Higher disease activity in SLE is associated with a correspondingly low MPV.