Platelet Distribution Width Research Articles

Use of Non-Invasive Biomarkers and Clinical Scores to Predict the Complications of Liver Cirrhosis: A Bicentric Experience

Background and objectives: Liver cirrhosis is a chronic, progressive condition characterized by fibrosis and architectural distortion of the liver, leading to impaired liver function and severe complications. Accurately predicting these complications is crucial to the improvement of patient outcomes. Therefore, this study aimed to evaluate the accuracy of various non-invasive biomarkers and clinical scores in assessing the risk of complications among cirrhotic patients. Materials and methods: We conducted an observational retrospective study involving 236 cirrhotic patients from two tertiary care hospitals in Italy and Romania, in a timespan ranging from January 2021 to March 2024. Data on clinical characteristics, liver function tests, hematological indices, various non-invasive biomarkers, and clinical scores were collected and analyzed. Receiver operating characteristic analysis was performed to assess the accuracy of these biomarkers and clinical scores in predicting complications, including the presence of varices and hepato-renal syndrome. Results: The Child–Pugh score showed the highest accuracy for cirrhosis-related complications, with an area under curve (AUC) = 0.667. The red cell distribution width coefficient of variation followed closely with an AUC = 0.646. While the Child–Pugh score had a high specificity (85.42%), its sensitivity was low (37.97%). In patients with varices, non-invasive scores such as platelet distribution width (PDW) and the RDW-to-platelet ratio (RPR) showed modest predictive ability, with an AUC = 0.594. For hepato-renal syndrome, the Model for End-Stage Liver Disease (MELD) score showed the highest diagnostic accuracy with an AUC = 0.758. Conclusions: The most reliable biomarkers for detecting complications, varices, and hepato-renal syndrome, are, respectively, the Child–Pugh Score, PDW along with RPR, and the MELD score. However, while these scores remain valuable, the moderate diagnostic accuracy of other indices suggests the need for a more integrated approach to risk stratification. Future research should focus on validating these tools across different populations and incorporating emerging biomarkers to enhance predictive accuracy and inform more effective clinical decision-making.

Prognostic value of neutrophil to lymphocyte ratio and platelet indices in cats with feline panleukopenia

The aim of this study was to ascertain the prognostic significance of the neutrophil to lymphocyte ratio (NLR) and platelet indices during hospital admission in cats with feline panleukopenia (FPV). A prospective observational study was conducted on 24 cats diagnosed with FPV. The results of the study demonstrated a significant decrease in NLR, platelet count (PLT), and platelet concentration (PCT) in the FPV survivor group compared to the control group. Furthermore, these parameters exhibited a notable decline in the FPV non-survivor group when compared to both the control group and the FPV survivor group. In contrast, mean platelet volume (MPV) and platelet distribution width (PDW) were significantly elevated in the FPV non-surviving cats compared to the control group. Moreover, receiver operating characteristic (ROC) curve analysis was employed to identify a prognostic cut-off value for predicting the prognosis of cats with FPV. The positive predictive values (PPVs) for survival were determined to be 90 %, 95 %, 85 %, 85 %, 85 %, and 75 %, respectively, using cut-off values of NLR (≤ 0.29), PLT (≤ 202.5 ×10³/µL), PCT (≤ 0.19 %), MPV (≥ 10.3 fL), and PDW (≥ 34.9 %). Based on the sensitivity, specificity and positive predictive values obtained from the ROC analysis, it was concluded that the NLR, MPV, and PLT are excellent biomarkers for determining prognosis in cats with FPV. Nevertheless, the PLT level is of greater significance, exhibiting a higher AUC.

Abnormally low serum albumin levels are associated with abnormal bone mineral density and osteoporotic fractures: a retrospective studies

BackgroundMany studies have indicated that abnormal bone mineral density (BMD) is related to abnormal liver and kidney function, but the effect of serum albumin level on abnormal BMD and osteoporotic fracture is still controversial. The aim of this retrospective study was to investigate the effects of serum albumin levels on abnormal BMD and osteoporotic fractures.MethodsThe study included 538 patients through the electronic medical records of inpatients and outpatients stored at Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology. A multivariate logistic regression model was employed to test the relationship between serum albumin levels and abnormal BMD, and the effect of serum albumin levels on osteoporotic fractures was verified through the U test. Correlation between age, sex, kidney stones, coronary heart disease, hypertension, diabetes, fatty liver disease, haemoglobin (HB), mean corpuscular haemoglobin concentration (MCHC), platelets (PLT), platelet distribution width (PDW), lymphocytes (LYMP), alanine aminotransferase (ALT), total protein (TP), albumin (ALB), uric acid (UA), total bilirubin (TBIL), total cholesterol (TC), high-density lipoprotein (HDL) and abnormal BMD were analysed by logistic regression modelling after excluding confounding factors.ResultsThe ALB level in osteoporotic patients was 41.70 (36.40–45.00) g/L, which was significantly lower than those in the normal BMD and reduced BMD groups. The odds ratio (OR) (95% confidence interval [CI]) between the osteoporosis and normal BMD groups was 0.445 (0.394–0.502); the OR (95% CI) between the osteoporosis and reduced BMD groups was 0.395 (0.341–0.459). In the subgroup analysis by whether or not a fracture was present, the OR (95% CI) was 0.073 (0.045–0.119).ConclusionsALB is a protective factor against osteoporosis and osteoporotic fractures, suggesting that it may have the potential to predict osteoporosis onset and fractures.

Association between perioperative platelet distribution width changes and postoperative acute kidney injury in patients with renal insufficiency: a retrospective study

BackgroundAcute kidney injury (AKI) is a major complication following cardiac surgery with a high incidence in those with existing kidney dysfunction. Platelet distribution width (PDW) reflects variability in platelet size and serves as an indicator of platelet activation. Recent investigations linked PDW changes to kidney pathology, suggesting its utility in identifying individuals at risk for AKI, thus necessitating exploration of its predictive value.MethodsPatients with preoperative renal dysfunction [15 ≤ estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73m2] who underwent cardiac surgery from January 2018 to December 2021 were retrospectively enrolled. PDW values were measured preoperatively and again upon admission to the ICU immediately after cardiac surgery, with the change in PDW (dPDW) defined as the difference between these two measurements. The primary outcome was postoperative AKI, defined base on the Kidney Disease: Improving Global Outcomes (KDIGO) definition and staging criteria. Multivariate regression models were performed to identify the association between dPDW and AKI and its potential trend. Restricted cubic spline analysis assessed non-linear associations between dPDW and AKI. The Youden index identified an optimal dPDW cut-off for AKI prediction. Subgroup analysis was performed to elucidate the consistency of these associations across the various subgroups.ResultsAKI occurred in 53.10% (513/966) of patients, accompanied by significant PDW increases in cases of AKI (P < 0.001). After adjusting confounders, dPDW was identified as a significant risk factor for AKI [odds ratio (OR) = 1.09, 95% confidence interval (CI): (1.02 ~ 1.16), P = 0.012]. Patients in the highest dPDW quartile (Q4) had a 195% higher AKI risk compared to those in the lowest quartile (Q1) (OR = 2.95, 95% CI:1.78 ∼ 4.90, P < 0.001). Trend analysis indicates that the risk of AKI increased with higher dPDW quartiles (P for trend < 0.001). Youden index showed that dRDW = 1.1 was identified as the optimal diagnostic cut-off value for AKI. Subgroup analyses and interaction tests showed a robust association between dPDW and AKI in all subgroups (P for interaction > 0.05).ConclusionsThis study underscored perioperative PDW changes as a significant predictor of postoperative AKI in patients with renal insufficiency, highlighting its potential in refining risk stratification and management strategies.Clinical trial numberNot applicable for this observational retrospective study.

Platelet Indices: Predicting Retinopathy in Patients with Type 2 Diabetes Mellitus

Background: Diabetes mellitus (T2DM) is a metabolic disorder, characterized by insulin resistance and varying degrees of hyperglycemia, leading to several macrovascular and microvascular complications. In recent years, altered platelet morphology and dysfunctions are reported in patients with T2DM. Platelet indices, namely plateletcrit (PCT), mean platelet volume (MPV), and platelet distribution width (PDW), can predict altered platelet morphology and dysfunction which leads to microvascular complications, such as retinopathy. Aims: This study was aimed at comparing platelet indices in individuals with impaired fasting glucose, T2DM patients, and also in patients with retinopathy; and to determine any association between them. Study Settings, Design, Material, Methods, and Statistical Analysis: A cross-sectional observational study was undertaken on 200 patients attending diabetic OPD of our institution over a period of 18 months. The obtained data were analyzed using suitable statistical software. Results: We found that mean values of platelet indices (MPV, PCT, PDW) are significantly higher in diabetics (11.73 fl, 0.238%, 17.01 fl) than in persons with impaired fasting glucose (9 fl, 0.195%, 11.23 fl). Moreover, they are significantly higher in patients with retinopathy (12.54 fl, 0.257%, 19.05 fl) than in patients without retinopathy (10.21 fl, 0.205%, 13.29 fl). We also found a positive correlation between platelet indices and HbA1C. Conclusion: Platelet indices can easily determine platelet dysfunction and thereby can predict the presence of retinopathy. They may serve as economical and readily available tool in monitoring diabetic patients.

Genomic Variants Associated with Haematological Parameters and T Lymphocyte Subpopulations in a Large White and Min Pig Intercross Population.

The breeding of disease-resistant pigs has consistently been a topic of significant interest and concern within the pig farming industry. The study of pig blood indicators has the potential to confer economic benefits upon the pig farming industry, whilst simultaneously providing valuable insights that can inform the study of human diseases. In this study, an F2 resource population of 489 individuals was generated through the intercrossing of Large White boars and Min pig sows. A total of 17 haematological parameters and T lymphocyte subpopulations were measured, including white blood cell count (WBC), lymphocyte count (LYM), lymphocyte count percentage (LYM%), monocyte count (MID), monocyte count percentage (MID%), neutrophilic granulocyte count (GRN), percentage of neutrophils (GRN%), mean platelet volume (MPV), platelet distribution width (PDW), platelet count (PLT), CD4+/CD8+, CD4+CD8+CD3+, CD4+CD8-CD3+, CD4-CD8+CD3+, CD4-CD8-CD3+, and CD3+. The Illumina PorcineSNP60 Genotyping BeadChip was obtained for all of the F2 animals. Subsequently, a genome-wide association study (GWAS) was conducted using the TASSEL 5.0 software to identify associated variants and candidate genes for the 17 traits. Significant association signals were identified for PCT and PLT on SSC7, with 1 and 11 significant SNP loci, respectively. A single nucleotide polymorphism (SNP) on SSC12 was identified as a significant predictor of the white blood cell (WBC) trait. Significant association signals were detected for the T lymphocyte subpopulations, namely CD4+/CD8+, CD4+CD8+CD3+, CD4+CD8-CD3+, and CD4-CD8+CD3+, with the majority of these signals observed on SSC7. The genes CLIC5, TRIM15, and SLC17A4 were identified as potential candidates for influencing CD4+/CD8+ and CD4-CD8+CD3+. A missense variant, c.2707 G>A, in the SLC17A4 gene has been demonstrated to be significantly associated with the CD4+/CD8+ and CD4-CD8+CD3+ traits. Three missense variants (c.425 A>C, c.500 C>T, and c.733 A>G) have been identified in the TRIM15 gene as being linked to the CD4+/CD8+ trait. Nevertheless, only c.425 A>C has been demonstrated to be significantly associated with CD4-CD8+CD3+. In the CLIC5 gene, one missense variant (c.957 T>C) has been identified as being associated with the CD4+/CD8+ and CD4-CD8+CD3+ traits. Additionally, significant association signals were observed for CD4+CD8+CD3+ and CD4+CD8-CD3+ on SSC2 and 5, respectively. Subsequently, a gene ontology (GO) enrichment analysis was conducted on all genes within the quantitative trait loci (QTL) intervals of platelet count, CD4+/CD8+, and CD4-CD8+CD3+. The MHC class II protein complex binding pathway was identified as the most significant pathway among the three immune traits. These results provide guidance for further research in the field of breeding disease-resistant pigs.

Immuno-hematological parameters among adult HIV patients before and after initiation of Dolutegravir based antiretroviral therapy, Addis Ababa, Ethiopia.

Immuno-hematological abnormalities are common among HIV infected individuals as well as patients with highly active antiretroviral therapy (HAART). However, the immuno-hematological outcome of Dolutegravir based antiretroviral therapy (ART) usage is not well investigated. To assess hematological and immunological parameters among adult HIV patients before and after initiation of Dolutegravir based ART regimen at St. Peter Specialized Hospital, Addis Ababa, Ethiopia. A cross-sectional study was conducted from May to July 2021 at St. Peter Specialized Hospital among adult HIV patients. A total of 422 HIV patients on Dolutegravir based ART (combination of Dolutegravir/lamivudine/tenofovir disoproxil fumarate (DTG/3TC/TDF)) for a minimum of 3 months were selected using convenient sampling methods. Socio-demographic as well as clinical data of the participants was obtained using pre-tested structured questionnaires and a review of medical records. Hematological parameters such as CBC was obtained using Beckman coulter automated hematology analyzer and immunological parameters such as CD4 count were determined using BD FACS presto. Statistical analysis of the data was done using SPSS version 21. Paired t-test was used to compare dependent variables before and after initiation of the new HAART and binary logistic regression was used to determine predictors of immuno-hematological abnormalities. P-value < 0.05 was considered as statistically significant. Of 422 adult HIV patients, about 273(64.7%) were females. The mean age of study participants was 42.2 years (±10.4SD). The mean white blood cell (WBC) count, red blood cell (RBC) count, hemoglobin (Hb), platelet distribution width (PDW), CD4 count, as well as lymphocyte percentage, neutrophil percentage, and platelet counts (PLT) were increased significantly(P<0.05) after 3 months of the Dolutegravir based therapy. While, red cell distribution width (RDW) and mean cell hemoglobin (MCH) were decreased (P<0.05) after the treatment. Other hematological parameters such as mean cell volume (MCV), hematocrit (HCT), mean cell hemoglobin concentration (MCHC), mean platelet volume (MPV) and platelet distribution width (PDW) showed no significant change. On the other hand, the most common hematological abnormalities identified after the new HAART were anemia (12.1%); followed by Leucopenia (11.3%), neutropenia (6%), and thrombocytopenia (4%). Anemia was associated with female sex (AOR = 7.8, 95% CI: 1.9-32.2, P<0.005) and WHO clinical stage III/IV (AOR = 16, 95% CI: 10.63-66.46, P<0.01). There was a significant change in certain immuno-hematological parameters such as WBC count, RBC count, PLT count, Hb, PDW, CD4 count, lymphocyte and neutrophil percentage after initiation of the Dolutegravir based therapy. Anemia was the most common hematological abnormality. Further studies are required to fully comprehend the outcome of the new treatment regimen on immuno-hematological parameters.

Donor Parameters and Platelet Yield during Plateletpheresis: A Cross-sectional Prospective Study

Abstract Background: Platelet transfusion can be life-saving in bleeding patients with thrombocytopenia or reduced platelet function. Single donor platelets (SDP) unit use is preferred due to the various advantages like reduction in transfusion-transmitted diseases and transfusion reactions. The quality of SDP is determined by platelet yield. Therefore, we conducted this study to assess the donor parameters affecting platelet yield during plateletpheresis. Materials and Methods: This cross-sectional prospective study included 160 single-donor platelet apheresis procedures done for 1 year. The pre-donation platelet count of the donor was set to 250 × 109/L to get double-dose platelet. Plateletpheresis was performed using Trima Accel single-needle separator apheresis machine. The demographic and hematologic parameters of donors were correlated with their platelet yield. Data obtained were tabulated using version 20 of the Statistical Package for the Social Sciences (SPSS). A relationship between pre-donation donor variables and platelet yield was studied using the Pearson correlation coefficient (r). P &lt; 0.05 was considered statistically significant. Results: There was a significant positive correlation between platelet yield and body mass index (BMI) (r = 1710 and P = 0.0304), total leukocyte count (TLC) (r = 0.2220 and P = 0.0048), and platelet count (r = 0.8880 and P &lt; 0.0001). The mean platelet volume (MPV) showed a negative correlation with platelet yield (r = −0.1910 and P = 0.0156). Age, hemoglobin, hematocrit, and platelet distribution width showed no significant correlation with the platelet yield. Conclusion: Donor parameters such as pre-donation platelet count, BMI, TLC, and MPV need to be considered while recruiting the donors for the SDP procedure for better yield of platelets.

Mood disorders and 5-HTR2A genetic variants – the moderator effect of inflammation on expression of affective polarity phenotype

BackgroundAlthough repeatedly confirmed, the molecular nature of gene-environment (GxE) interactions has rarely been investigated in the clinical context of mood disorders. This study assesses the relationship between HTR2A genetic variants and the modulatory effect of inflammation in a collective cohort of patients with major depressive disorder (MDD) and bipolar disorder (BD), as a unified group with two distinct phenotypes.MethodsThe study included 138 patients with acute mood episodes (BD = 83; MDD = 55). HTR2A rs6313 and rs6314 genotyping was performed while measuring platelet-derived indicators of inflammation (platelet count (PLT), mean platelet volume (MPV), plateletcrit, and platelet distribution width) and the MPV/PLT ratio.ResultsThe HTR2A rs6313 variant is a significant predictor of the polarity phenotype in mood disorders, with the MPV/PLT ratio moderating this relationship, but only under low-inflammatory conditions. In more pronounced inflammatory states, genetic influences lose their predictive role.ConclusionsTo our knowledge, this is the first study to investigate the complex interplay between platelet-derived indicators of inflammation and HTR2A variants in the context of mood disorders. Without pro-inflammatory conditions, mood disorders seem to be more genetically determined. Under pro-inflammatory conditions, phenotypic presentation is less dependent on genetic factors. GxE interactions in mood disorders are multifaceted, context-dependent and relevant for assessing their clinical presentation and course.

Potential Predictive Value of Platelet Distribution Width for Functional Outcome After Ischemic Stroke.

Complete blood cell count (CBC) is the most common and readily available laboratory test in clinical practice. The relationships of some CBC indices with ischemic stroke have been reported in observational studies; however, the causal direction is not specified. This study aimed to explore the causal relationships between CBC indices and the modified Rankin Scale (mRS) score at 3months after ischemic stroke. Genetic associations of 22 blood cell traits were obtained from the UK Biobank database (n = 350,475). The outcome data for ischemic stroke were obtained from the Genetic Ischemic Stroke Functional Outcome (GISCOME) network (n = 6021). We implemented two-sample Mendelian randomization (TSMR) and several complementary analyses to assess the causal association between blood traits and unfavorable outcome (3-month mRS > 2). The clinical cohort was validated based on the results of the MR analysis. TSMR result indicated causal association between genetically determined platelet distribution width (PDW) and adverse functional outcome after ischemic stroke (OR 1.48; 95% CI 1.13-1.95; p = 0.005). Complementary analyses showed negligible causal effect of genetic variants on stroke subtypes. In cohort study (n = 351), higher level of PDW was observed in the unfavorable outcome group. However, the multivariable logistic regression analysis failed to identify the improvement in predictive performance of stroke outcomes by adding PDW to the prediction model. Further correlation analysis revealed that PDW is positively correlated with serum glucose levels, and the level of PDW in the non-thrombolysed group was significantly higher than that in the thrombolysis group, indicating that PDW may be involved in stroke prognosis in an indirect way.

Precision phenotyping from routine laboratory parameters for out of hospital survival prediction in an all comers prospective PCI registry

Out-of-hospital mortality in coronary artery disease (CAD) is particularly high and established adverse event prediction tools are yet to be available. Our study aimed to investigate whether precision phenotyping can be performed using routine laboratory parameters for the prediction of out-of-hospital survival in a CAD population treated by percutaneous coronary intervention (PCI). All patients treated by PCI and discharged alive in a tertiary center between January 2016 – December 2022 that have been included prospectively in the local registry were analyzed. 115 parameters from the PCI registry and 266 parameters derived from routine laboratory testing were used. An extreme gradient-boosted decision tree machine learning (ML) algorithm was trained and used to predict all-cause and cardiovascular-cause survival. A total of 4027 patients with 4981 PCI hospitalizations were randomly included in the 70% training dataset and 1729 patients with 2160 PCI hospitalizations were randomly included in the 30% validation dataset. All-cause and cardiovascular cause mortality was 17.5% and 12.2%. The integrated area under the receiver operator characteristic curve for prediction of all-cause and cardiovascular cause mortality by the ML on the validation dataset was 0.844 and 0.837, respectively (all p < 0.001). Parameters reflecting renal function (first and maximum serum creatinine), hematologic function (mean corpuscular hemoglobin concentration, platelet distribution width), and inflammatory status (lymphocyte per monocyte ratio) were among the most important predictors. Accurate out-of-hospital survival prediction in CAD can be achieved using routine laboratory parameters. ML outperformed clinical risk scores in predicting out-of-hospital mortality in a prospective all-comers PCI population and has the potential to precisely phenotype patients.

Prognosis and factors related to anti-VEGF therapy in patients with retinal vein occlusion and concomitant carotid artery disease

To evaluate the prognosis and influencing factors of retinal vein occlusion (RVO) in patients with concomitant carotid artery disease receiving anti-vascular endothelial growth factor (VEGF) treatment. Patients diagnosed with RVO and receiving anti-VEGF treatment were included. Eye and clinical data were collected. The patients were divided into a group with concomitant carotid artery disease (Group A) and a group without concomitant carotid artery disease (Group B). The risk factors affecting the visual prognosis of RVO patients with concomitant carotid artery disease were analyzed. Among 177 eligible patients with RVO, 101 had concomitant carotid artery disease (Group A), while 76 did not (Group B). Group A had a significantly lower treatment effectiveness rate than Group B (P < 0.001). The age and platelet distribution width of Group A were significantly higher than Group B (P < 0.001). Multivariate logistic regression analysis showed that baseline best-corrected visual acuity (BCVA), disorganization of retinal inner layers (DRIL), external limiting membrane (ELM) disruption, and red blood cell distribution width (RDW) were significantly associated with the posttreatment visual prognosis of RVO patients with concomitant carotid artery disease(P < 0.05). RVO patients with concomitant carotid artery disease had a significantly lower treatment effectiveness rate than RVO patients without carotid artery disease. The poor baseline BCVA, DRIL, ELM disruption, and a greater RDW are risk factors for low anti-VEGF treatment efficacy among RVO patients with concomitant carotid artery disease.

Effect of oral doxycycline, azithromycin and isotretinoin on haematological inflammatory markers and interleukin-17A levels in acne vulgaris: a single blinded randomised interventional study.

Amidst the existing literature on the effect of isotretinoin on serum interleukin-17 levels in acne patients, the effects of oral antibiotics azithromycin and doxycycline on serum interleukin-17 is scarce. We conducted an investigator blinded randomized interventional study to compare the effect of doxycycline, azithromycin and isotretinoin on inflammatory markers and Interleukin-17A (IL-17A) levels in acne. Patients were randomized and received the treatment according to treatment arm till 12 weeks. At baseline and 12 weeks/treatment completion, clinical improvement and Red-cell-distribution width (RDW),Neutrophil-lymphocyte ratio(NLR),Platelet-lymphocyte ratio(PLR), Mean-Platelet volume(MPV), Platelet-distribution width(PDW) and Interleukin-17A levels were analysed. P-value < 0.05 was considered statistically significant. Out of 120 patients, 110 patients completed the study. Baseline Global acne grading scale (GAGS) in doxycycline, azithromycin or isotretinoin group was 24.32 ± 3.119, 24.12 ± 2.804 and 25.10 ± 3.985 respectively and post-treatment was 5.216 ± 1.88, 7.265 ± 2.17 and 2.769 ± 1.08. All the drugs caused a statistically significant decrease in RDW and IL-17A levels. Baseline levels of IL-17A were significantly higher in patients with higher GAGS and post-acne scarring. One of the limitations of our study was that we excluded severe nodulocystic acne patients thereby these results have to be carefully extrapolated.

Platelet Indices in Patients With Gram-Negative and Gram-Positive Sepsis: A Retrospective Cross-Sectional Study.

Different inflammatory processes and sepsis can significantly affect the number of platelets and platelet indices. Therefore, in this study, total platelet count (PLT), thrombocrit (Pct), platelet distribution width (PDW), mean platelet volume (MPV), and platelet-large cell ratio (P-LCR) were analyzed in patients with Gram-negative and Gram-positive bacterial sepsis and in sterile blood cultures. Inclusion criteria were an increased number of inflammatory parameters (elevated values ​​of leukocytes,C-reactive protein (CRP), procalcitonin (PCT), andpositive blood culture. Exclusion criteria were patients who did not have elevated values ​​of inflammatory parameters and did not have a positive blood culture.Samples were collected from patients who had sepsis confirmed by blood cultures at the Department of Microbiology and Molecular Diagnostics at University Clinical Hospital Mostar in the period from 2019 to 2022. Three groups were analyzed, patients who had sterile blood cultures, patients with blood cultures with isolated Gram-positive bacteria, and patients with blood cultures with isolated Gram-negative bacteria. Specific infectious agents were identified for each group of patients. In addition to the above, PLT, Pct, MPV, PDW, P-LCR, PCT, CRP, the total number of leukocytes, and the number of neutrophil leukocytes were analyzed in each group. The values of PCT, CRP, and the number of neutrophile leukocytes were significantly higher in patients with Gram-negative sepsis as compared to Gram-positive sepsis and to control group. Patients with sepsis have decreased PLT and Ptc and increased values of MPV, PDW, and P-LCR. In sepsis caused by the Gram-negative bacteria, i.e., Escherichia coli, Klebsiella pneumoniae, and Acinetobacter baumannii, the values of the same parameters were more changed compared to sepsis caused by Gram-positive bacteria, i.e., Streptococcus pneumoniae, Enterococcus spp., and methicillin-resistant Staphylococcus aureus (MRSA). When comparing Gram-negative negative bacteria, PLT was lowest in sepsis caused by Escherichia coli, the PDW value was highest in sepsis caused by Acinetobacter baumannii, and MPV and P-LCR were the highest in sepsis caused by Klebsiella pneumoniae. Our study showed that platelet indices are significantly changed in patients with sepsis. Patients with sepsis have decreased values of PLT and Pct and increased values of MPV, PDW, and P-LCR, indicating an increase in thrombocyte production. Moreover, the results were more prominent in sepsis caused by Gram-negative bacteria compared to sepsis caused by Gram-positive bacteria.

A study to determine utility of platelet indices in differentiating hyperdestructive and hypoproductive thrombocytopenia.

Background: Thrombocytopenia by definition signifies a platelet count below 1,50,000/mm3 but this does not reflect the underlying pathology. Management of these patients significantly depends on identifying the primary cause of thrombocytopenia. With advances in automation, analyzers can now measure platelet parameters like mean platelet volume, Platelet distribution width, and Platelet large cell ratio which are potential biomarkers of platelet morphology. Presently, these non-invasive and cost-efficient diagnostic markers are quite underused. The study aimed to understand the relationship of instrument-derived platelet parameters with respect to the categorizing of thrombocytopenia based on underlying pathophysiology. Materials and methods: A prospective study was conducted from September 2018 to October 2020consisting of 315 cases of hyperdestructive thrombocytopenia and 54 cases of hypoproductive thrombocytopenia. After collecting the important clinical details, platelet count along with instrument-derived platelet indices was noted. A comparison of platelet indices was done between the two groups. Results: In the hyper-destructive group, the mean platelet indices were found to be significantly higher in comparison to the hypo-productive group. No significant correlation was obtained between the platelet count severity and various platelet indices. Mean platelet volume had the highest sensitivity and specificity in differentiating hyper-destructive thrombocytopenia from the hypo-productive group. Conclusions: Platelet indices aid in distinguishing hyper-destructive from hypo-productive causes of thrombocytopenia. Of the three indices analyzed, Mean platelet volume was shown to be a better parameter in differentiating the two groups.

A study to determine utility of platelet indices in differentiating hyperdestructive and hypoproductive thrombocytopenia.

Background: Thrombocytopenia by definition signifies a platelet count below 1,50,000/mm3 but this does not reflect the underlying pathology. Management of these patients significantly depends on identifying the primary cause of thrombocytopenia. With advances in automation, analyzers can now measure platelet parameters like mean platelet volume, Platelet distribution width, and Platelet large cell ratio which are potential biomarkers of platelet morphology. Presently, these non-invasive and cost-efficient diagnostic markers are quite underused. The study aimed to understand the relationship of instrument-derived platelet parameters with respect to the categorizing of thrombocytopenia based on underlying pathophysiology. Materials and methods: A prospective study was conducted from September 2018 to October 2020consisting of 315 cases of hyperdestructive thrombocytopenia and 54 cases of hypoproductive thrombocytopenia. After collecting the important clinical details, platelet count along with instrument-derived platelet indices was noted. A comparison of platelet indices was done between the two groups. Results: In the hyper-destructive group, the mean platelet indices were found to be significantly higher in comparison to the hypo-productive group. No significant correlation was obtained between the platelet count severity and various platelet indices. Mean platelet volume had the highest sensitivity and specificity in differentiating hyper-destructive thrombocytopenia from the hypo-productive group. Conclusions: Platelet indices aid in distinguishing hyper-destructive from hypo-productive causes of thrombocytopenia. Of the three indices analyzed, Mean platelet volume was shown to be a better parameter in differentiating the two groups.

The Association Between Hematological Indices and Type 2 Diabetes Mellitus in Iranian Population

Background: Hematological alterations have been observed in diabetes, with some studies showing controversial associations between specific hematologic parameters and type 2 diabetes mellitus (T2DM). Objectives: This study aims to determine the association between hematological indices, specifically white blood cell (WBC) count, red cell distribution width (RDW), and platelet distribution width (PDW), and the presence of T2DM in an Iranian population, using data from the Bandare-Kong non-communicable diseases (BKNCD) cohort. Methods: Data from the BKNCD cohort, which includes 4063 individuals aged 35 - 70 years, was used in this study. After excluding participants with conditions that could interfere with the analysis, 2318 subjects remained for final evaluation. Results: Among the 2318 individuals, T2DM was present in 530 (22.9%). Binary logistic regression analysis revealed that the odds of T2DM increased by approximately 7% for every 109/L increase in WBC count, after adjusting for variables such as occupation, age, body mass index, sex, place of residence, education, smoking, marital status, systolic and diastolic blood pressure (DBP), and physical activity (adjusted odds ratio (aOR) = 1.066, 95% confidence interval (CI) = 1.003; 1.133, P = 0.039). Additionally, elevated PDW was associated with a 63% increase in the odds of T2DM (aOR = 1.625, 95% CI 1.159; 2.279, P = 0.005), while increased RDW was associated with decreased odds of T2DM (aOR = 0.801, 95% CI 0.716; 0.895, P &lt; 0.001). Conclusions: Elevated PDW and WBC counts in T2DM patients in this study suggest an inflammatory state and hypercoagulability. However, the paradoxically decreased RDW may be linked to poor glycemic control in these patients.

Fibromiyalji Sendromunda Sistemik İmmün-İnflamasyon İndeksi ve Hematolojik Laboratuvar Bulgularına Genel Bakış

Bu çalışmada fibromiyalji sendromunda (FMS) Sistemik İmmün-İnflamasyon İndeksi (SII) ile kan parametreleri arasındaki ilişki değerlendirilerek hastalık aktivitesinin belirlenmesi amaçlanmıştır. Çalışmaya Ocak 2021 ve Ocak 2022 tarihleri arasında Fizik Tedavi ve Rehabilitasyon Kliniğine başvuran 109 FMS hastası ve 82 sağlıklı kontrol dahil edilmiştir. Yaş, cinsiyet, C-reaktif protein (CRP), eritrosit sedimentasyon hızı (ESR), beyaz kan hücresi (WBC), hemoglobin (HGB), ortalama korpusküler hacim (MCV), ortalama korpusküler hemoglobin (MCH), ortalama korpusküler hemoglobin konsantrasyonu (MCHC), kırmızı hücre dağılımı (RDW), trombosit dağılım genişliği (PDW), ortalama trombosit hacmi (MPV), trombosit (PLT), trombosit kriteri (PCT), lenfosit (LYM), monosit (MONO), nötrofil (NEU) düzeyleri hastane bilgi sisteminden retrospektif olarak taranmıştır. Trombosit-lenfosit oranı (PLR), nötrofil-lenfosit oranı (NLR), monosit-lenfosit oranı (MLR) ve sistemik immün-inflamasyon indeksi (SII) hesaplanmıştır. CRP ve ESR düzeyleri FMS hastalarında sağlıklı kontrollere göre daha yüksekti ancak değer aralığının dışında değildi (p&amp;lt;0,001). PDW (p&amp;lt;0,001), HGB (p&amp;lt;0,001), MCV (p&amp;lt;0,001), MCH (p&amp;lt;0,001) ve MCHC (p=0,02) düzeyleri hastalarda sağlıklı gruba göre daha düşüktü. Hasta ve kontrol grupları arasında yaş, WBC, NEU, LYM, MONO, RDW, MPV, PLT, PCT, SII, PLR, NLR ve MLR değerleri açısından istatistiksel olarak anlamlı fark yoktu. FMS hastalarında WBC düzeyleri ile SSS değerleri arasında (r=0,2; p=0,005) ve lenfosit düzeyleri ile WPI değerleri arasında (r=0,2; p=0,01) anlamlı pozitif korelasyon bulunmuştur. Çalışma sonuçlarına göre, SII'nin FMS'de belirleyici bir rolü yoktur, ancak hastalığın tanıda yararlı olabilecek bazı inflamatuvar bileşenleri vardır ve daha ayrıntılı çalışmalara ihtiyaç vardır.

The importance of blood parameters in the detection of intestinal metaplasia and early diagnosis of gastric cancer

Background: We aimed to determine whether complete blood count(CBC) parameters, such as the white blood count(WBC), hemoglobin(Hb), platelet(PLT), red cell distribution width(RDW), mean platelet volume(MPV), platelet distribution width(PDW), neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), and monocyte-to-lymphocyte ratio(MLR), have a predictive value in the detection of gastric cancer(GC) and intestinal metaplasia(IM). Methods: While proven GC, IM, and healthy control(HC) patients were included, patients with the comorbid disease were excluded, and univariate analyses compared three groups. The receiver operating characteristic(ROC) curve analysis was run for CBC parameters. The area under the curve(AUC) was evaluated, and a cut-off value was determined. The sensitivity and specificity of each parameter were considered. Results: The GC, IM, and HC groups consisted of 72(33%), 73(34%), and 72(33%) patients, respectively. RDW, PLT, NLR, PLR, and MLR were significant between GC and IM. The highest AUC (0.727) was obtained for the PLT yielding a 56.9% sensitivity and 79.4% specificity at a cut-off value of 151.8. The AUC of RDW was found as 0.691 and 0.626 for pairwise comparisons of GC-HC and IM-HC, respectively. At a cut-off value of 13.4, PLR yielded 70.8% sensitivity and 61.1% specificity in the detection of GC, while 64.4% sensitivity and 51.1% specificity for IM. Conclusion: CBC parameters, such as RDW, PLT, NLR, PLR, and MLR, have value in detecting GC. RDW also has diagnostic value in helping to detect IM. PLR can help to distinguish patients with GC from those with IM. These inexpensive, easily accessible parameters may help in the timely diagnosis of GC and IM. Keywords: Gastric cancer; intestinal Metaplasia; Monocyte to lymphocyte ratio; red cell distribution; hemoglobin; platelet; neutrophil-lymphocyte ratio; platelet-lymphocyte ratio; inflammation.

The biomarkers associated with non-dipper pattern in patients with type 2 diabetes with hypertension.

The non-dipper pattern is present in about 50 percent of patients with type 2 diabetes (T2D) and hypertension, a status associated with more frequent cardiovascular complications and restrained prognosis. This study aimed to identify simple biomarkers that can be used for the classification of dipper and non-dipper individuals with type 2 diabetes and hypertension. 138 consecutive patients with type 2 diabetes mellitus (DM) and hypertension underwent 24-hour ambulatory blood pressure monitoring (ABPM), 54 (39.1%) dippers and 84 (60.9%) non-dippers; CBC and determinations of different biomarkers, as well as their ratio was also performed, for comparing the two dipper profiles. The different dipper profiles were established by ABPM, which highlights the mean arterial pressure (MAP), the mean heart rate (MHR), and the mean pulse pressure (MPP). The area under the receiver operating characteristic curve (AUC) was used to evaluate the ability of biomarkers to differentiate dippers from non-dippers. The study included 54 dipper and 84 non-dipper patients. The median age was 64 years (interquartile range 58-74), ranging from 24 to 85 years. The comparison between dipper and non-dipper in patients with type 2 diabetes and hypertension concerning different biomarkers found only two that were statistically significant: triglycerides to hemoglobin A1c (HbA1c) ratio and triglycerides to glucose ratio. For both biomarkers, the dippers had higher values than non-dippers. The best AUCs were found for triglycerides (Trig) to glucose ratio of 0.774 (95% confidence interval 0.601 - 0.92), statistically significant, followed at a distance by lymphocytes, platelets-lymphocytes ratio (PLR), platelet distribution width (PDW-SD), mean platelet volume (MPV) /Lymphocytes, and others, none of them being statistically significant. This study offers valuable insights into the classification of dipper and non-dipper individuals with type 2 diabetes and hypertension using several biomarkers. Notably, the triglyceride-to-glucose ratio appeared as a significant marker with considerable discriminative capacity, indicating its potential therapeutic value in risk stratification and personalized treatment strategies.