Platelet Distribution Width Research Articles

Correlation between blood cell indices and adiponectin and leptin levels in COVID-19.

Adipose tissue (AT) is a major metabolic organ, functioning through autocrine, paracrine, and endocrine mechanisms. This study investigated the relationship between adipokine levels and blood cell indices, particularly platelets, in individuals with COVID-19. Another aim was to enhance the understanding of AT's endocrine function during dynamic pathological changes, such as acute viral infections like COVID-19. The study was conducted as a cross-sectional analysis at the Clinical Center Vojvodina in 2021 and 2022, including 76 consecutive SARS-CoV-2-positive patients of both sexes. Study parameters were determined from peripheral venous blood samples routinely collected upon hospital admission. The results showed that leptin levels were significantly positively correlated with body mass index (BMI) (ρ = 0.421, P < 0.001) and body fat mass (BFM) (ρ = 0.547, P < 0.001). Simultaneously, a significant negative correlation was observed between adiponectin levels and BMI (ρ = -0.430, P < 0.001). Additionally, a significant positive correlation was found between leptin levels and mean platelet volume (MPV) (ρ = 0.307, P < 0.05), platelet distribution width (PDW) (ρ = 0.325, P < 0.05), and platelet-large cell ratio (P-LCR) (ρ = 0.305, P < 0.05). Leptin's impact on platelet indices was confirmed in both simple and multiple linear regression models, where leptin exhibited a slightly higher beta coefficient than BMI. In contrast, adiponectin levels were negatively correlated with hematocrit (HCT) (ρ = -0.329, P < 0.05). These findings may provide further insight into the previously suspected role of AT in the complex cascade of COVID-19 pathogenesis and platelet activation.

Comparison of the Volumetric Parameters of Platelets in Diabetic Children with and without Diabetic Ketoacidosis: A Case-Control Study in the North of Iran

Background: This study aimed to determine the volumetric parameters of platelets including MPV (Mean Platelet Volume) and PDW (Platelet Distribution Width) in diabetic children with and without diabetic ketoacidosis (DKA) and to evaluate their relationship with the severity of DKA. Materials and Methods: A case-control study was conducted on 112 children with type 1 diabetes mellitus (T1DM), with and without DKA, who referred to Amirkola Children's Hospital, Iran, in 2016-2021. Of them, 43 were boys, and 69 were girls. The diagnosis of diabetes was based on clinical symptoms and diagnostic criteria, and DKA was diagnosed through the analysis of arterial blood gas. The patients’ MPV and PDW were also evaluated, and the P values less than 0.05 were considered significant. Results: Out of 112 children with diabetes (with the mean age of 8.71 ± 3.22 years), 56 persons had DKA. In terms of DKA severity, 17 patients (30.4%) had mild, 29 (51.8%) had moderate, and 10 (17.8%) had severe DKA. The children with DKA had the mean blood glucose of 490.98±46.11mg/dL, MPV of 10.02± 1.19fl), and PDW of 13.07± 1.18flwere significantly higher (P&lt;0.001). It was found that, an increase in the severity of DKA would raise the mean MPV (P = 0.006) and PDW(P&lt;0.001) significantly. Conclusion: Based on the results of this study, as the severity of DKA increases in diabetic children, the mean levels of MPV and PDW increase significantly. Therefore, it is suggested that MPV and PDW be used to predict the severity of DKA in diabetic children.

Clinical values of preoperative red blood cell distribution width and platelet parameters in patients with papillary thyroid carcinoma.

The prevalence of thyroid carcinoma is increasing, and papillary thyroid carcinoma (PTC) is the most frequent subtype. More and more attention is being concentrated on the association between inflammation indicators and malignant tumors. The aim of the present study was to analyze whether the preoperative red blood cell distribution width (RDW) and platelet parameters, including mean platelet volume (MPV) and platelet distribution width (PDW), can be applied to distinguish between patients with PTC or papillary thyroid microcarcinoma (PTMC) and healthy controls, and to explore the associations with clinicopathological characteristics. The study retrospectively compared the RDW, MPV and PDW values of 780 patients with PTC or PTMC against a healthy control group. Receiver operating characteristic (ROC) curves were conducted to determine diagnostic accuracy. Furthermore, the clinicopathological features of the patients with PTC or PTMC were compared between higher and lower platelet parameter groups based on the RDW, MPV and PDW values. Significantly higher preoperative RDW, MPV and PDW values were found in patients with PTC or PTMC compared with those of the healthy group. ROC curve analysis showed that the area under the curve (AUC) plus 95% confidence interval (95% CI) values of RDW, MPV and PDW were 0.808 (0.780-0.835), 0.771 (0.743-0.799) and 0.711 (0.681-0.742), respectively. When RDW and MPV were combined together, the AUC (95% CI) value was enhanced to 0.858 (0.835-0.881) for the patients with PTC. For the patients with PTMC, RDW, MPV and PDW had AUC (95% CI) values of 0.812 (0.783-0.840), 0.779 (0.749-0.808) and 0.718 (0.685-0.751), respectively. When RDW and MPV were combined together, the AUC (95% CI) value was enhanced to 0.858 (0.835-0.881). A higher RDW was significantly associated with being female, deeper tumor infiltration, and normal FT3 and FT4 levels. A higher PDW was significantly associated with elevated thyrotropin receptor antibody levels. In conclusion, as convenient and available inflammation indicators, RDW, PDW and MPV have diagnostic ability and can distinguish between patients with PTC or PTMC and healthy controls. In addition, the combined application of RDW and MPV can improve the diagnostic power. The values of RDW and MPV were associated with clinicopathological characteristics. To the best of our knowledge, this is the first study to prove the usefulness of preoperative RDW combined with MPV in diagnosing patients with PTC or PTMC.

Metabolic consequences on platelet parameters: Mean platelet volume and platelet distribution width in type 2 diabetes mellitus

Background: Diabetes mellitus encompasses metabolic disorders marked by chronic hyperglycemia, leading to various complications. It is considered a prothrombotic state associated with increased platelet reactivity. Parameters such as mean platelet volume (MPV) and platelet distribution width (PDW), which are indicative of platelet size, enzymatic activity, and prothrombotic risk, can be readily assessed during routine hematological analysis, facilitating early detection of this prothrombotic state. Aims and Objectives: The study aimed to investigate the varied alterations in platelet parameters in type 2 diabetes mellitus (T2DM) patients and tried to elucidate these parameters’ predictive role in diabetes complications. Materials and Methods: This prospective cross-sectional study was conducted between February 2022 and February 2024, involving 100 patients with T2DM and 100 healthy non-diabetic individuals. MPV, PDW, fasting blood glucose (FBS), and glycated hemoglobin (HbA1c) levels were measured and analyzed. Statistical analysis was carried out using the Student’s t-test, Mann–Whitney U-test, Chi-square test, and Spearman’s correlation tests in the Statistical Package for the Social Sciences software (version 21.0). Results: Most of the patients were in the age group of 40–70 years with male predominance. In comparing the 100 diabetics and 100 non-diabetics groups, MPV and PDW levels were notably higher in diabetics (11.46±1.75 vs. 9.40±1.02 fl, 21±2.57 vs. 16.72±1.48%) with statistical significance (P&lt;0.01). Similarly, FBS and HbA1C levels were elevated among diabetics (179.38±70.25 vs. 90.64±5.93, 7.83±2.24 vs. 5.02±0.64) along with a positive correlation between platelet indices (MPV and PDW) and FBS, HbA1c levels in patients with T2DM. In addition, diabetic patients with complications exhibit significantly higher MPV, PDW, FBS, and HbA1c levels compared to those without complications. Conclusion: MPV and PDW levels show significant alterations in T2DM patients, with consistently elevated values, especially in those with complications. This underscores their potential importance as key indicators alongside glycemic indices such as FBS and HbA1c, in monitoring diabetes progression and anticipating associated complications.

Platelet Indices – Are They Really Biomarkers in Psoriasis? A Cross-sectional Study

Background: Psoriasis is a chronic inflammatory disorder with multiple systemic manifestations in common with other inflammatory disorders. Platelet activation has recently been proposed a major pathogenic factor in psoriasis. Mean platelet volume (MPV) and platelet distribution width (PDW) are considered platelet activation markers. Although there are various inflammatory markers reported to be abnormal in psoriasis, a simple cost-effective and clinically useful marker that could predict the severity of the disease and be used to know about its association with systemic abnormalities and response to treatment is still under study. Aim: The aim of our study was to look at the association of platelet indices with psoriasis and its severity. Methods: This was a single-center cross-sectional study in which 50 patients with psoriasis and 50 apparently healthy age and sex-matched controls who fulfilled the inclusion and exclusion criteria were enrolled after obtaining informed consent. A detailed history was elicited, and a clinical examination was done including anthropometric measurements and calculation of psoriasis area and severity index (PASI). Investigations including hemoglobin, red blood cell (RBC) count, packed cell volume (PCV), mean corpuscular volume, mean corpuscular hemoglobin (MCH), MCH concentration, white blood cell (WBC) and platelet count, plateletcrit, MPV, PDW, and red cell distribution width (RDW) were done. Results: Out of 50 psoriasis patients recruited, 40 (80%) had moderate-to-severe psoriasis, whereas 10 had mild psoriasis (10%) based on PASI scores. In majority of cases, the hemoglobin, PCV, RBC, and WBC counts were within the normal range and were comparable with that of controls. There was no statistically significant difference in the mean values of platelet count, MPV, PDW, plateletcrit, and RDW between cases and controls. There was no significant association between platelet indices and severity of psoriasis. Conclusion: There was no significant association between platelet indices including RDW and the presence or absence of psoriasis in our study. Furthermore, among patients with psoriasis, there was no significant association between platelet indices and severity of the disease.

Evaluation of Immuno-Hematological Parameters of Severe and Mild COVID-19 Cases in Babylon Province, Iraq

The hematopoietic system plays a very important role in contracting the corona virus infection. Hematology indicators are among the factors related to the clinical results of patients with covid-19 due to their cost-effectiveness, availability, speed and convenience of testing. The aim of this study was comparing hematological parameters including the number of Red Blood Cells (RBC), hemoglobin, hematocrit, and platelet count among mild and severe COVID-19 patients. Methods: The study was conducted on 100 Iraqi patients COVID-19 patients. Subjects were classified into two groups with mild (n= 50) and severe (n=50) COVID-19 infection symptoms based on the clinical criteria. The hematological parameters measurement included Red Blood Cell (RBC) count, Hemoglobin (Hb) levels, White Blood Cell (WBC) count, Platelet count (PLT), Hematocrit (HCT) levels, Platelet Distribution Width (PDW), and Mean Platelet Volume (MPV). An independent sample T-test was used to compare the means of hematological parameters between two groups. Results: The RBC count was significantly lower in severe group compared to mild group (P ≤ 0.05). HCT levels were significantly reduced in the severe group compared to mild group (P ≤ 0.05). The severe patients had a significantly lower PLT than mild patients (P ≤ 0.05). No significant difference in Hb levels was observed between severe and mild patients. The severe patients had a significantly higher PDW than mild patients (P ≤ 0.05). Additionally, the severe patients had a significantly higher MPV than mild patients (P ≤ 0.05). Conclusion: The findings of this study indicate that complete blood count measurements can be used as useful biomarkers to assess the severity of Covid-19. Early identification of severe COVID-19 patients using these markers can help to better manage and accelerate the treatment process for COVID-19 patients.

The role of thrombocyte indices in early determination of sepsis agents in newborns

Purpose: Neonatal sepsis is an important cause of morbidity and mortality. The signs and symptoms of neonatal sepsis are nonspecific, and there is no ideal marker for diagnosis. Our study aimed to investigate the role of platelet indices in determining agents in sepsis. Materials and Methods: A total of 90 records with sepsis data were examined retrospectively, demographic and clinical characteristics of gram-positive, gram-negative and Candida infection patients were evaluated by complete blood counts at the time of diagnosis and on the fifth day of infection and platelet amount (PLT), mean platelet volume (MPV), plateletcrit (PCT) and distribution width (PDW) values were compared by ROC curve analysis. Results: No statistical difference was found between the groups in terms of gender, gestational week, birth weight, surfactant use, need for mechanical ventilator treatment, and necrotizing enterocolitis. When infection was first detected, the Area Under Curve (AUC) of PCT, PLT and MPV (without thrombocytopenia) values in detecting gram-positive bacterial infection were 0.764, 0.765 and 0.792 respectively. Conclusion: The increase in PCT and PLT values at the time of initial diagnosis can be used to detect gram-positive bacterial infections. A decrease in MPV can be used for early diagnosis of fungal infections without thrombocytopenia.

Optimal cut-off values and diagnostic significance of clinical laboratory indicators in newly diagnosed multiple myeloma

ObjectiveThis study aims to identify clinical laboratory parameters for the diagnosis of newly diagnosed multiple myeloma (NDMM), establish optimal cutoffs for early screening, and develop a diagnostic model for precise diagnosis.MethodsThe study conducted a retrospective analysis of 279 NDMM patients and 553 healthy subjects at Zhejiang Province People’s Hospital between January 2008 and June 2023. Multifactor LR was employed to explore clinical laboratory indicators with diagnostic value for NDMM, determine optimal cutoff values and contract a diagnostic model. The diagnostic efficacy and clinical utility were evaluated using receiver operating characteristic curves (ROC), sensitivity, specificity, and other indicators.ResultsMultifactor analysis revealed that hemoglobin (Hb), albumin (Alb), and platelet distribution width (PDW) were significant diagnostic factors for NDMM. Optimal cutoff values for Hb, Alb, and PDW in MM diagnosis were determined, and the results showed a significant increase in the probability of NDMM diagnosis when Alb was below 39.3 g/L, Hb was below 11.6 g/dL, and PDW was below 14.1 fL. The diagnostic model constructed from the development cohort demonstrated a high area under the ROC curve of 0.960 (95% CI 0.942–0.978) and exhibited good sensitivity (0.860), specificity (0.957). The area under the curve (AUC) value of the diagnostic model in the external validation cohort was 0.979, confirming its good diagnostic efficacy and generalization.ConclusionsThe optimal cutoff values for Hb, Alb, and PDW and the diagnostic model designed in the study provided good accuracy and sensitivity for the initial screening and diagnosis of NDMM.

Identifying the hidden parasitic intruders: Molecular insights into the health of common Myna

Birds are known to act as the parasite reservoir and can transmit them to other organisms through food chains. This study aims to report the molecular prevalence and phylogenetic evaluation of various blood borne pathogens (Toxoplasma gondii, Isospora spp., Plasmodium spp., Haemoproteus spp., Leucocytozoan spp. and Neospora caninum) in blood samples of common Myna (Acridotheres tristis: N = 80) collected from four region (Jhang, Khanewal, Multan and Muzaffargarh) in Punjab Pakistan. Effect of pathogens on the complete blood count of the host was also determined. Results revealed by 2/80 Myna (2.5 %) amplified ITS-1 gene of Toxoplasma (T.) gondii (confirmed by DNA sequencing) while 2/80 (2.5 %) birds amplified 18S rDNA gene and Isospora spp. Phylogenetic analysis of both pathogens showed that Pakistani isolates were clustered together and were closely related to isolates that were reported from worldwide countries.Risk factor analysis revealed that prevalence of both pathogens was not restricted to a particular sampling site or a particular bird sex (P > 0.05). T. gondii infected birds had elevated red cell distribution width while Isospora sp. infected birds had elevated % monocytes and platelet distribution width while decreased mean cell hemoglobin, mean corpuscular hemoglobin concentration and platelets hematocrit than their respective uninfected birds. In conclusion, we are reporting the presence of T. gondii and Isospora sp. among Pakistani common Myna that had disturbed the complete blood count parameters that may have affected their normal physiology.

Inflammation indices in association with periodontitis and cancer.

Inflammation is a complex physiological process that plays a pivotal role in many if not all pathological conditions, including infectious as well as inflammatory diseases, like periodontitis and autoimmune disorders. Inflammatory response to periodontal biofilms and tissue destruction in periodontitis is associated with the release of inflammatory mediators. Chronic inflammation can promote the development of cancer. Persistence of inflammatory mediators plays a crucial role in this process. Quantification and monitoring of the severity of inflammation in relation to cancer is essential. Periodontitis is mainly quantified based on the severity and extent of attachment loss and/or pocket probing depth, in addition with bleeding on probing. In recent years, studies started to investigate inflammation indices in association with periodontal diseases. To date, only few reviews have been published focusing on the relationship between blood cell count, inflammation indices, and periodontitis. This review presents a comprehensive overview of different systemic inflammation indices, their methods of measurement, and the clinical applications in relation to periodontitis and cancer. This review outlines the physiological basis of inflammation and the underlying cellular and molecular mechanisms of the parameters described. Key inflammation indices are commonly utilized in periodontology such as the neutrophil to lymphocyte ratio. Inflammation indices like the platelet to lymphocyte ratio, platelet distribution width, plateletcrit, red blood cell distribution width, lymphocyte to monocyte ratio, delta neutrophil index, and the systemic immune inflammation index are also used in hospital settings and will be discussed. The clinical roles and limitations, relationship to systemic diseases as well as their association to periodontitis and treatment response are described.

Prediction the Occurrence of Thalassemia With Hematological Phenotype by Diagnosis of Abnormal HbA1c.

The current investigation aims to analyze the occurrence of thalassemia in patients who participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) level (≥ 1.5%) or abnormal Hb peak and predict the main influence factors by using different statistical models. The current investigation is a single-center retrospective cohort study. HbA1c concentration was detected by using TOSOH HLC-723G8 glycated hemoglobin analyzer. SNaPshot SNP (Single Nucleotide Polymorphism) typing and AccuCopy technology were employed to detect mutations in thalassemia-related pathogenic genes. A total of 126 patients endured high HbF levels or abnormal Hb peak during HbA1c detection, and 66.7% of subjects (n = 84) showed thalassemia mutations. Three heterozygosity mutations, including c.52A>T (p.K18*), c.-78A>G, and c.126_129delCTTT(p.F42Lfs*19) present in HBB gene, were also identified. --SEA/αα mutation demonstrated the youngest ages (p < 0.001). 17 M (p < 0.001) and 41/42 M (p < 0.01) mutations with β-thalassemia showed higher HbF levels compared with patients without thalassemia mutations. Except for -α3.7, mutations in thalassemia showed lower levels of mean corpuscular hemoglobin (MCH) and mean corpuscular volume (MCV) compared with patients without thalassemia mutations. Patients with thalassemia mutations showed younger age (p < 0.001), lower Hb (p < 0.001), MCV and MCH levels (p < 0.001), higher red blood cell (RBC)count (p < 0.001), and platelet distribution width (PDW) level (p = 0.007) than patients without thalassemia mutations. Three statistical models indicate MCV is the most valuable independent factor for predicting thalassemia and ROC (receiver operating characteristic) curves analysis of AUC (Area Under the Curve) of 0.855 (95% CI [0.787-0.923], p < 0.001) with MCV. High HbF level (≥ 1.5%) or abnormal Hb peak present in HbA1c testing indicated high incident rate of thalassemia. MCV is the most valuable independent predicting factor for subjects having thalassemia.

Platelet indices as a predictor in patients with aplastic anemia and immune thrombocytopenic purpura: a retrospective case–control study

Background and objectivesPlatelet indices are widely available and relatively cheap platelet parameters. The critical objective of this study is to assess the reliability of platelet indices as biomarkers for diagnosis and prognosis in adult thrombocytopenic patients.MethodsA retrospective case–control study, including 81 immune thrombocytopenia (ITP) cases, 50 aplastic anemia (AA) cases, and 150 participants as a control group. This study included patients admitted from 2016 to 2021 to the Clinical Hematology Unit, Department of Internal Medicine, University Hospital. The collected data included sociodemographic information, clinical data, laboratory data, and an assessment of the therapeutic response in the studied groups.ResultsFor the diagnosis of adult thrombocytopenic patients, platelet distribution width (PDW) showed the best diagnostic accuracy (85% for ITP and 91.9% for AA) at cutoff points of 14.9% and 17.2%, respectively. This was followed by mean platelet volume (MPV) with diagnostic accuracies of 77% for ITP and 89.3% for AA at a cutoff point of 9.4 fl. Platelet large cell ratio (PLCR) demonstrated insignificant accuracy in diagnosing either ITP or AA.ConclusionPlatelet indices can play a crucial influence in the diagnosis, not the prognosis, of adult thrombocytopenia.Trial registrationNCT05116033. https://classic.clinicaltrials.gov/ct2/show/NCT05116033

Platelet indices as predictors of poor glucoregulation in type 2 diabetes mellitus adults at Bishoftu General Hospital, Ethiopia.

Diabetes is a chronic metabolic syndrome that has become a global public health problem with significant morbidity and mortality. It is a pro-inflammatory and pro-thrombotic condition characterized by increased platelet activation and alterations in platelet indices. However, the use of platelet indices as predictors of poor glucoregulation has not been fully evaluated in this context, and evidence for their role as predictors of poor glycemic status in diabetic patients is limited. To evaluate platelet indices and determine their prognostic significance in relation to inadequate glucoregulation among individuals diagnosed with type 2 diabetes at Bishoftu General Hospital in Ethiopia, from June 15 to August 12, 2022. A comparative cross-sectional study was conducted in 261 participants including 174 individuals with type 2 diabetes mellitus (T2DM) and 87 non-diabetic controls. The systematic random sampling technique was used to select par-ticipants. Data were collected using structured questionnaires, physical measurements, checklists, and laboratory tests. Platelet parameters and fasting blood glucose levels were determined from blood samples using Sysmex-XN550 and CobasC311 analyzers, respectively. The hematology analyzer output was checked and participants were also screened for malaria parasites using a prepared blood smear. Collected data were entered into Epi-data version 3.1 and exported to SPSS version 25 for analysis. The χ 2 test, Mann-Whitney U test, Kruskal-Wallis test, post hoc test, Spearman correlation, and receiver operating characteristic curve were used for analysis. A P value < 0.05 was considered statistically significant. The results of our study indicate that diabetic patients have significantly higher levels of platelet distribution width (PDW), mean platelet volume (MPV), platelet large cell ratio (PLCR), and plateletcrit (PCT) compared to healthy individuals (P < 0.001). Furthermore, these indices were found to be significantly elevated in individuals with poor glycemic control in T2DM compared to those with good glycemic control and healthy controls. We also observed significant correlations between these indices and various anthropometric and clinical variables. Our findings suggest that PDW, with a cut-off value of 15.75 fL and an area under the curve (AUC) of 0.803, MPV, with a cut-off value of 12.25 fL and an AUC of 0.774, PLCR, with a cut-off value of 36.3% and an AUC of 0.775, and PCT, with a cut-off value of 0.24% and an AUC of 0.761, can serve as predictors of poor glycemic control in patients with diabetes mellitus. The observed correlation between diabetic patients and a significant increase in platelet indices has highlighted their potential as predictors of poor glycemic control in diabetes. Therefore, regular screening and profiling of platelet indices is recommended as part of the follow-up process for individuals with diabetes mellitus.

The impact of depression on platelet activation, cardiocerebral vascular events and arteriovenous fistula dysfunction in patients undergoing haemodialysis

Depression is a common psychiatric disorder among patients undergoing maintenance haemodialysis (MHD). Depression may reportedly contribute to poor prognosis in several ways, including its effects on platelet function. We hypothesised that depression contributes to the occurrence of cardiocerebral vascular events (CCVE) and dysfunction of arteriovenous fistula (DAVF) in patients undergoing MHD through its effects on platelets. In this prospective cohort study, patients undergoing MHD were recruited and divided into depression and non-depression groups according to their Hamilton Depression Scale (HAMD) scores. The 286 enrolled patients had 103 occurrences of depressive symptoms (prevalence = 36.01%). Compared with the non-depression group, depression group had a significantly higher cumulative prevalence of CCVE and DAVF during follow-up. Cox regression analysis indicated that higher HAMD scores and lower plasma platelet distribution width (PDW) were common risk factors for CCVE and DAVF. Furthermore, HAMD scores were significantly negatively correlated with plasma PDW and was the main variable affecting changes in PDW, as indicated by multiple linear regression analysis. Depression may increase the risk of CCVE and DAVF in patients undergoing MHD by activating platelets. Plasma PDW may be a convenient indicator of platelet activation status and may predict the risk of CCVE and DAVF.

Clinical significance of mean platelet volume, platelet distribution width, and neutrophil-lymphocyte ratio in children with familial mediterranean fever

Objective: Familial Mediterranean Fever (FMF) is an autosomal recessive disease characterized by recurrent fever and polyserositis. Studies conducted in recent years emphasize the importance of platelet parameters in chronic diseases. This study examined changes in attack and attack-free periods in children with FMF, focusing on Mean Platelet Volume (MPV), an indicator of disease severity. Method: 150 FMF patients (90 girls, 60 boys) and 50 healthy individuals (29 men, 21 women) were included in the study. Data were analyzed according to colchicine treatment, attack, and attack-free periods. The severity of the disease was classified as mild, moderate, and severe. Results: MPV levels of patients with FMF were higher than the healthy group. In particular, MPV levels decreased significantly during attacks, with a more pronounced decrease in severe cases. Conclusion: As a result, MPV measurement is a cost-effective and rapid method that can support the evaluation of disease severity and attack periods in FMF patients.

The Role of Platelet Distribution Width in the Association Between Blood Glucose and Neurological Impairment Severity in Acute Ischemic Stroke: A Moderated Mediation Model.

Fasting blood glucose (FBG) is a recognized risk factor for Ischemic Stroke, but little research has examined the interaction among FBG, Platelet Distribution Width (PDW) and the severity of neuronal damage. Thus, the present study constructs a moderated mediation model aimed to elucidate the relationships among FBG, PDW, and NIHSS scores in patients with acute ischemic stroke (AIS). We conducted a cross-sectional study on 431 AIS patients. Upon hospital admission, we assessed the patients' NIHSS scores and collected blood samples to measure FBG and PDW levels. The relationship between FBG and NIHSS scores moderated by PDW was analyzed by linear curve fitting analysis, multiple linear regression analysis, and moderated mediation analysis respectively. In the tertile grouping based on FBG, both PDW and NIHSS scores of AIS patients demonstrated an increase corresponding with rising levels of FBG (p<0.001 for both). Multiple linear regression analysis revealed that, the β coefficients (95% CI) for the relationship between FBG and NIHSS scores were 1.49 (1.27-1.71, p<0.01) post-adjustment for potential confounders. The β coefficients (95% CI) for the relationship between FBG and PDW were 0.02 (0.01-0.04, p<0.01) post-adjustment. Likewise, for the relationship between PDW and NIHSS scores, the β coefficients (95% CI) were 4.33 (3.07-5.59, p<0.01) after adjustment. These positive association remained consistent in sensitivity analysis and hierarchical analysis. Smoothed plots suggested that there are linear relationships between FBG and PDW and NIHSS scores respectively. Further mediation analysis indicated that increased PDW significantly (p<0.01) mediated 5.91% of FBG-associated increased NIHSS scores. This study suggested that FBG levels were associated with NIHSS scores, and the FBG-associated neurological impairment may be partially mediated by PDW. These findings underscore the importance of monitoring FBG and PDW levels in AIS patients, potentially guiding risk intervention strategies.

O21 PLATELET COUNT-TO-PLATELET DISTRIBUTION WIDTH RATIO AND OTHER PLATELET INDICES AS COST-EFFECTIVE MARKERS OF PREECLAMPSIA: A CASE CONTROL STUDY

Background and objective: Platelet indices, like platelet count (PC), plateletcrit, mean platelet volume (MPV) and platelet distribution width (PDW), and their ratios have shown to be cost-effective and better predictors of preeclampsia (PE). However, PC/PDW ratio was not studied. Thus, this study aimed to compare platelet indices and their ratios between pregnant women with and without PE. Methods: An analytical, comparative, case-control study. Two groups were compared; pregnant women with PE (case, n=24) and without PE (control, n=72). The differences between cases and controls were compared using Student's t-test and Mann–Whitney U-test for continuous variables and chi-square tests and Fisher's exact test for categorical. Multivariable linear regression analysis for hematological parameters was performed to assess the effect of gestational age. Logistic regression was performed to calculate the odds ratio. Receiver operating characteristic curve was used to determine sensitivity, specificity and cutoff values. P &lt; 0.05 was considered significant. Results: There was significant reduction in values of PC (p=0.004), plateletcrit (p=0.012), PC/MPV ratio (p=0.002), and PC/PDW (p= &lt;0.001) among the pregnant women with PE compared to the control study group, while a significant increase was noticed in the values of PDW (p= &lt;0.001) and MPV (p=0.021). PC/PDW had the highest area under the curve (AUC) of 0.767, followed by PDW (AUC=0.752). At the cutoff value of 15.1 (p&lt;0.001) for PC/PDW, sensitivity was 70.8%, and specificity was 81.9%. The odds of diagnosing true positive cases of PE was 11.02 (95% CI =3.79-31.99, p=&lt;0.001) times higher compared to values below it at this cutoff point. Conclusions: Present study suggests that platelet indices are economical tests that can act as indicators of risk of PE. Among all the parameters, PC/PDW has the highest sensitivity and specificity in the detection of PE at the cutoff of 15.1 and has emerged as a better predictor of PE.

Routine blood parameters as auxiliary diagnostic tools for Mycoplasma pneumoniae infection in children.

Introduction. Recently, the incidence of Mycoplasma pneumoniae (M. pneumoniae) infection in children has been increasing annually. Early differential diagnosis of M. pneumoniae infection can not only avoid the abuse of antibiotics, but also is essential for early treatment and reduction of transmission.Gap statement. The change of routine blood parameters may have important clinical significance for the diagnosis of M. pneumoniae infection, but it has not been reported so far.Aim. This study aims to establish a predictive model for M. pneumoniae infection and explore the changes and clinical value of routine blood parameters in children with M. pneumoniae infection, serving as auxiliary indicators for the diagnosis and differentiation of clinical M. pneumoniae infection.Methodology. A total of 770 paediatric patients with respiratory tract infections were enrolled in this study, including 360 in the M. pneumoniae group, 40 in the SARS-CoV-2 group, 200 in the influenza A virus group, and 170 in the control group. The differences of routine blood parameters among all groups were compared, and risk factors were analysed using multivariate logistics analysis, and the diagnostic efficacy of differential indicators using ROC curves.Results. This study revealed that Mono% (OR: 3.411; 95% CI: 1.638-7.102; P=0.001) was independent risk factor associated with M. pneumoniae infection, and Mono% (AUC=0.786, the optimal cutoff at 7.8%) had a good discriminative ability between patients with M. pneumoniae infection and healthy individuals. Additionally, Mono% (OR: 0.424; 95% CI: 0.231-0.781; P=0.006) and Lymp% (OR: 0.430; 95% CI: 0.246-0.753; P=0.003) were independent risk factors for distinguishing M. pneumoniae infection from influenza A virus infection, and the Lymp% (AUC=0.786, the optimal cutoff at 22.1%) and Net% (AUC=0.761, the optimal cutoff at 65.2%) had good discriminative abilities between M. pneumoniae infection and influenza A infection. Furthermore, platelet distribution width (OR: 0.680; 95% CI: 0.538-0.858; P=0.001) was independent risk factor for distinguishing M. pneumoniae infection from SARS-CoV-2 infection. Meanwhile, the ROC curve demonstrated that PDW (AUC=0.786, the optimal cutoff at 15%) has a good ability to differentiate between M. pneumoniae infection and SARS-CoV-2 infection.Conclusion. This study demonstrates that routine blood parameters can be used as auxiliary diagnostic indicators for M. pneumoniae infection and provide reference for the diagnosis and differentiation of clinical M. pneumoniae infection.

Gender Differences in the Effects of Cadmium Exposure on Hematological Parameters in Wistar Rats

This study aims to investigate the gender dimorphism in cadmium exposure on hematological parameters in male and female Wistar rats. Twenty Wistar rats (120g-150g) were divided into four groups: male control, male cadmium-treated, female control, and female cadmium-treated. Cadmium chloride (50 mg/kg) was administered orally to the experimental groups for 45 days. Hematological parameters were analyzed using an auto hematological analyzer. Data were statistically evaluated using two-way ANOVA with significance set at p &lt; 0.05. Cadmium exposure significantly increased white blood cell (WBC) counts in male rats compared to controls, with notable decrease in neutrophils and an increase in lymphocytes. Female rats showed significant increase in monocyte and basophil levels. Furthermore, red blood cell (RBC) parameters showed significant reductions in hemoglobin concentration, mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH) in female cadmium-treated rats. No significant effects were observed on platelet count or distribution width in both male and female rats. The study concluded there are gender-specific hematological alterations due to cadmium exposure in Wistar rats. These findings underscore the need for gender-specific approach in the understanding and amelioration of cadmium toxicity.

The predictive value of serum fibrinogen and platelet distribution width for long-term cardiac death in acute myocardial infarction patients.

Acute myocardial infarction (AMI) is the most severe manifestation of coronary heart disease (CHD), and timely and effective opening of the culprit vessels has been effective in reducing its mortality, but long-term death still threatens the life of patients. Therefore, finding biomarkers to predict death post-myocardial infarction (MI) is crucial. The aim of our study is to find biomarkers that predicted long-term death in Chinese AMI patients. This retrospective analysis included patients with AMI from 1 January 2017 to 30 September 2019. All patients were followed up at least 4 years. Propensity score matching was used to mitigate the influence of nonrandom selection in MI-survival and MI-death groups. Cox analysis was applied for analyzing the risk factors of death post-MI. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of biomarkers. Of the 1,059 AMI patients analyzed, 130 died during follow-up. After propensity matching, there were 116 patients in each of the two groups. In addition to the traditional risk factors for long-term death post-MI, two important risk factors platelet distribution width (PDW) [hazard ratio (HR) =1.210, 95% confidence interval (CI): 1.080-1.356, P=0.001] and fibrinogen (HR =1.218, 95% CI: 1.027-1.444, P=0.02) were found. The area under the curve (AUC) of PDW and fibrinogen was 0.604 (P=0.007) and 0.684 (P<0.001) respectively. The optimal thresholds were 13.05% and 3.562 g/L respectively. PDW and fibrinogen seem to be useful as biomarkers for long-term death prediction post-MI. The current research provides new insight into the prevention and treatment of death in Chinese patients post-MI.