Hematocrit Percentage Research Articles

Two-phase analysis of blood in microchannel architecture on plasma separation ability with dimensional variance

Purpose This paper aims to study the effects of varying inlet channel angle in a novel microfluidic architecture blood plasma separation ability over range of hematocrit values (5–45%) at multiple flowrates. Design/methodology/approach CAD designs for both micro architectures were designed in SOILWORKS. In the second step, these designs were imported into ANSYS to perform where meshing, model selection, defining blood as two-phase material and boundary conditions are performed. Findings Separation efficiency values close to 100% with diluted blood and 65.2% with whole blood were observed. Straight channel inlet design has significantly better performance at high hematocrit levels, whereas at lower hematocrit levels, both designs had almost same outcome. Furthermore, lower flowrates have shown the highest separation efficiency for lower hematocrit levels, whereas at higher hematocrit percentages, higher flowrates have shown better separation effects for both designs. Furthermore, trends obtained for flow ratio and flowrates against separation efficiency are demonstrated. Research limitations/implications This study is based on blood modeled as two-phase flow, with the phases consisting of blood plasma as primary phase and red blood cells as secondary particulate phase. Practical implications Implications of this study are far reaching for point-of-care health-care systems. A practical system of this numerical study can provide a microchannel device which take very small amount of blood sample to separate it into constituents which can be coupled with detection module to detect a particular disease for which it is designed for. This microsystem can be very beneficial for remote areas where a large hospital facility is far away. Originality/value This study has carried out a detailed analysis on the ability of a novel microchannel architecture to separate blood plasma from other blood constituents. Inlet channel angle variation effects are observed over a range of hematocrit percentages. These trends are further investigated for three different flowrates to assess the microchannel design behavior.

Quantitative Validation of Hematocrit Percentage Drop Cutoff Points in Postpartum Hemorrhage: An Automated Gravimetric Approach

AbstractObjective:To validate the hematocrit percentage drop cutoff points for blood loss in patients with postpartum hemorrhage (PPH) using the automated gravimetric method.Methods:A prospective cohort study was conducted from January 2023 to July 2023, in which 107 patients 18 years of age and above were scheduled for elective cesarean with obstetrical indications. We excluded cases with difficulty quantifying blood loss, those with incomplete data, and those of patients who did not consent to participate. Blood loss was measured by an automated gravimetric system integrated into a suction blood collector and surgical gauze weighing systems to automatically sum up blood loss immediately after hysterectomy and fetal delivery. The percentage drop in hematocrit was determined by subtracting the 8-hour postsurgical from presurgical hematocrit, divided by presurgical hematocrit. We performed the Pearson correlation test, and the receiver operating characteristic curve was used to determine cutoff points, their sensitivity, and their specificity. The κ index was used to determine the diagnostic agreement between the two methods.Results:A positive correlation was observed between the volume of blood loss and the percentage drop in hematocrit, with a Pearson correlation index of 0.70 andP < 0.0001. A 14% decrease in hematocrit had an 81.7% agreement rate, with a good κ index of 0.62, a sensitivity of 82.5%, and a specificity of 80.0%. A 10% drop in hemoglobin was sensitive (93%) but not very specific (56%) for blood loss greater than 1000 mL.Conclusion:The automated gravimetric method strongly correlates with hematocrit changes, providing an accurate real-time diagnosis of postpartum hemorrhage. Additionally, a hematocrit percentage drop can retrospectively indicate significant blood loss, aiding in managing patients at risk for long-term PPH complications.

Effect of a Physical Exercise Intervention on Physical Function Parameters and Blood Analytical Changes in Lung Cancer Survivors: A Feasibility Study.

Background: Lung cancer carries a high burden of systemic symptoms, including in survivors, leading to a reduced quality of life (QoL). We assessed whether a 12-week multicomponent supervised exercise programme, including muscular strength and aerobic training, was beneficial in patients who had undergone surgery for early non-small cell lung cancer (NSCLC) in terms of physical performance, QoL, and metabolic and nutritional analytical parameters. Methods: Physical performance was measured by gait speed, handgrip strength, 30 s sit-to-stand (30s-STS) test repetitions, distance covered in the 6 min walk test (6MWT), and the Short Physical Performance Battery (SPPB) score. QoL was assessed with the EORTC-QLQ-C30 questionnaire. Blood glucose, cholesterol, triglycerides, total proteins, albumin, pre-albumin, creatinine, c-reactive protein, insulin-growth factor 1 (IGF-1), and the haemoglobin and hematocrit percentages were measured before and after the intervention in order to observe any beneficial effects related to metabolic markers. Results: After the intervention, the mean scores for the 6MWT (p < 0.001), STS (p < 0.001), 6MWT (p < 0.01), and SPPB (p < 0.01) had significantly improved. However, handgrip strength and nutritional analytical were unchanged. The EORTC-QLQ-C30 functions and symptoms significantly improved after the intervention (p < 0.05 and p < 0.01, respectively). A significant decrease in cholesterol, triglycerides, and IGF-1 and a significant increase in pre-albumin in blood was also observed post-intervention (p < 0.05). Conclusions: This supervised, community-based 12-week multicomponent was feasible (adherence rate 70.35%) and provided benefits not only to physical performance but also to the quality of life of patients with NSCLC.

Construction and validation of a nomogram model for lymph node metastasis of stage II-III gastric cancer based on machine learning algorithms.

Gastric cancer, a pervasive malignancy globally, often presents with regional lymph node metastasis (LNM), profoundly impacting prognosis and treatment options. Existing clinical methods for determining the presence of LNM are not precise enough, necessitating the development of an accurate risk prediction model. Our primary objective was to employ machine learning algorithms to identify risk factors for LNM and establish a precise prediction model for stage II-III gastric cancer. A study was conducted at Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between May 2010 and December 2022. This retrospective study analyzed 1147 surgeries for gastric cancer and explored the clinicopathological differences between LNM and non-LNM cohorts. Utilizing univariate logistic regression and two machine learning methodologies-Least absolute shrinkage and selection operator (LASSO) and random forest (RF)-we identified vascular invasion, maximum tumor diameter, percentage of monocytes, hematocrit (HCT), and lymphocyte-monocyte ratio (LMR) as salient factors and consolidated them into a nomogram model. The area under the receiver operating characteristic (ROC) curve (AUC), calibration curves, and decision curves were used to evaluate the test efficacy of the nomogram. Shapley Additive Explanation (SHAP) values were utilized to illustrate the predictive impact of each feature on the model's output. Significant differences in tumor characteristics were discerned between LNM and non-LNM cohorts through appropriate statistical methods. A nomogram, incorporating vascular invasion, maximum tumor diameter, percentage of monocytes, HCT, and LMR, was developed and exhibited satisfactory predictive capabilities with an AUC of 0.787 (95% CI: 0.749-0.824) in the training set and 0.753 (95% CI: 0.694-0.812) in the validation set. Calibration curves and decision curves affirmed the nomogram's predictive accuracy. In conclusion, leveraging machine learning algorithms, we devised a nomogram for precise LNM risk prognostication in stage II-III gastric cancer, offering a valuable tool for tailored risk assessment in clinical decision-making.

Evaluation of disease activity in systemic lupus erythematosus using standard deviation of lymphocyte volume combined with red blood cell count and lymphocyte percentage

Systemic lupus erythematosus (SLE) commonly damages the blood system and often manifests as blood cell abnormalities. The performance of biomarkers for predicting SLE activity still requires further improvement. This study aimed to analyze blood cell parameters to identify key indicators for a SLE activity prediction model. Clinical data of 138 patients with SLE (high activity, n = 40; moderate activity, n = 44; mild activity, n = 37; low activity, n = 17) and 100 healthy controls (HCs) were retrospectively analyzed. Data from 89 paired admission–discharge patients with SLE were collected. Differences and associations between blood cell parameters and disease indicators, as well as the relationship between the these parameters and organ damage, were examined. Machine-learning methods were employed to develop a prediction model for disease activity evaluation. Most blood cell parameters (22/26, 84.62%) differed significantly between patients with SLE and HCs. Analysis of 89 paired patients with SLE revealed significant changes in most blood cell parameters at discharge. The standard deviation of lymphocyte volume (SD-V-LY), red blood cell (RBC) count, lymphocyte percentage (LY%), hemoglobin(HGB), hematocrit(HCT), and neutrophil percentage(NE%) correlated with disease activity. By employing machine learning, an optimal model was established to predict active SLE using SD-V-LY, RBC count, and LY% (area under the curve [AUC] = 0.908, sensitivity = 0.811). External validation indicated impressive performance (AUC = 0.940, sensitivity = 0.833). Correlation analysis revealed that SD-V-LY was positively correlated with ESR, IgG, IgA, and IgM but was negatively correlated with C3 and C4. The RBC count was linked to renal and hematopoietic system impairments, whereas LY% was associated with joint/muscle involvement. In conclusion, SD-V-LY is associated with SLE disease activity. SD-V-LY combined with RBC count and LY% contributes to a prediction model, which can be utilized as an effective tool for assessing SLE activity.

Comparative study of hematological parameters among smokers and nonsmokers in Basra city, Iraq

BackgroundHematological parameters are significantly affected by both immediate and prolonged exposure to smoking. The objective of this investigation is to evaluate the influence of cigarette smoking on hematological parameters among male students enrolled at Basrah University in Iraq. MethodsThe study comprised a total of seventy male participants, divided into two groups: smokers (n = 35) and nonsmokers (n = 35). Each participant provided a 5 ml venous blood sample to analyze the complete blood count using a hematology analyzer (Spinreact, Spincell 3). ResultsCigarette smokers exhibit notably elevated levels of Red Blood Cells (RBC) counts, Hemoglobin (HGB), Red Cell Distribution Width-CV (RDW-CV), granulocytes%, and platelets%, whereas Mean Corpuscular Volume (MCV) and lymphocytes% are notably lower among smokers. On the other hand, Hematocrit percentage (HCT), Mean Corpuscular Hemoglobin (MCH), Mean Corpuscular Hemoglobin Concentration (MCHC), and White Blood Cells (WBC) counts show no significant difference between cigarette smokers and nonsmokers. In contrast, Red Cell Distribution Width-SD (RDW-SD), Mid-range cell percentage (MID%), Mean Platelet Volume (MPV), Distribution Width (PDW), Platelet Plateletcrit percentage (PCT), Platelet-Lymphocyte Cell Ratio (P_LCR) and Platelet-Lymphocyte Cell Count (P_LCC) demonstrate no substantial variance between the two groups at the statistical significance threshold. ConclusionThis investigation concludes that tobacco cigarette smoking leads to detrimental alterations in hematological parameters, posing health risks.

Evaluating the Effect of Venipuncture Site and Sex on Plasma Hematology and Biochemistry Values in Krefft's River Turtles (Emydura macquarii krefftii)

Abstract Hematology and biochemistry parameters were evaluated in a zoological population of Krefft’s river turtles (Emydura macquarii krefftii) to determine the effect of sex and venipuncture site. Blood samples were collected from 17 (nine male, eight female) healthy adult Krefft’s river turtles. Females were reproductively active during the study period. Three venipuncture site were sampled in each individual, including jugular vein, subcarapacial sinus, and dorsal coccygeal vein. Statistically significant differences were found between venipuncture sites and between sexes. Packed cell volume percentage was significantly lower in samples from the subcarapacial sinus compared to the other sites. Basophil concentration was significantly lower in samples from the subcarapacial sinus compared to the jugular vein. Azurophil, cholesterol, triglycerides, calcium, phosphorus, and magnesium concentrations were significantly higher in females compared to males. Based on the results of this study, the jugular vein is the recommended venipuncture site in Krefft’s river turtles. Sex and reproductive status should be assessed at the time of venipuncture when possible and considered in interpretation of hematology and biochemistry results.

Hematological and neurological impact studies on the exposure to naturally occurring radioactive materials

Naturally Occurring Radioactive Materials (NORM) contribute to everyone's natural background radiation dose. The technologically advanced activities of the gas and oil sectors produce considerable amounts of radioactive materials as industrial by-products or waste products. The goal of the current study is to estimate the danger of long-term liability to Technologically Enhanced Naturally Occurring Radioactive Materials (TE-NORM) on blood indices, neurotransmitters, oxidative stress markers, and β-amyloid in the cerebral cortex of rats' brains. Twenty adult male albino rats were divided into two equal groups (n = 10): control and irradiated. Irradiated rats were exposed to a total dose of 0.016 Gy of TE-NORM as a whole-body chronic exposure over a period of two months. It should be ''The results showed no significant changes in RBC count, Hb concentration, hematocrit percentage (HCT%), and Mean Corpuscular Hemoglobin Concentration (MCHC). However, there was a significant increase in the Mean Corpuscular Volume of RBCs (MCV) and a significant decrease in cell distribution width (RDW%) compared to the control. Alteration in neurotransmitters is noticeable by a significant increase in glutamic acid and significant decreases in serotonin and dopamine. Increased lipid peroxidation, decreased glutathione content, superoxide dismutase, catalase, and glutathione peroxidase activities indicating oxidative stress were accompanied by increased β-amyloid in the cerebral cortex of rats' brains. The findings of the present study showed that chronic radiation liability has some harmful effects, that may predict the risks of future health problems in occupational radiation exposure in the oil industries. Therefore, the control of exposure and application of sample dosimetry is recommended for health and safety.

Whole Blood Aggregometry in Mice.

Aggregometry plays a crucial role in both clinical diagnostics and research within hematology, serving as a fundamental tool for understanding platelet function and its implications in physiological and pathological processes. In research, aggregometry provides insights into platelet aggregation dynamics and aids in understanding the underlying mechanisms of hemostasis, thrombosis, and related disorders. Light transmission aggregometry (LTA) and lumi-aggregometry, as well as whole blood aggregometry, are commonly employed methods. While LTA and lumi-aggregometry allow for specific platelet function assessment under controlled conditions, whole blood aggregometry provides a more physiologically relevant approach by evaluating platelet aggregation within the context of whole blood. Although both methodologies offer unique advantages, whole blood aggregometry allows for preservation of the native cellular environment, simplicity, and potential for better clinical correlation. In a clinical setting, with human blood samples, protocols are established for both LTA and whole blood aggregometry as they are frequently used diagnostic tools. A protocol for LTA and lumi-aggregometry in murine models has been described; however, to date, there is no standardized protocol for whole blood aggregometry in murine models accessible to hematology researchers. This article aims to outline a simple, basic protocol for murine whole blood aggregometry, offering an alternative method to the commonly used LTA aggregometry in research settings. Standardizing whole blood aggregometry protocols in murine models could enhance experimental reliability and facilitate translational research efforts in hematology. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Whole blood aggregometry in mice Support Protocol: Phenylhydrazine-induced anemia in wild-type mice Basic Protocol 2: Hematocrit percentage in mice.

Prediction of acute coronary syndrome in patients with myeloproliferative neoplasms.

Patients with myeloproliferative neoplasms (MPN) are exposed to a higher risk of cardiovascular disease, especially cardiovascular calcification. The present research aimed to analyze the clinical features and coronary artery calcium score (CACS) in MPN patients, and construct an effective model to predict acute coronary syndrome (ACS) in MPN patients. A total of 175 MPN patients and 175 controls were recruited from the First Affiliated Hospital of Ningbo University. Based on cardiovascular events, the MPN patients were divided into the ACS group and the non-ACS group. Multivariate Cox analysis was completed to explore ACS-related factors. Furthermore, ROC curves were plotted to assess the predictive effect of CACS combined with white blood cells (WBC) and platelet for ACS in MPN patients. The MPN group exhibited a higher CACS than the control group (133 vs. 55, P < 0.001). A total of 16 patients developed ACS in 175 MPN patients. Compared with non-ACS groups, significant differences in age, diabetes, smoking history, WBC, percentage of neutrophil, percentage of lymphocyte, neutrophil count, hemoglobin, hematocrit, platelet, lactate dehydrogenase, β 2-microglobulin, and JAK2V617F mutation were observed in the ACS groups. In addition, the CACS in the ACS group was also significantly higher than that in the non-ACS group (374.5 vs. 121, P < 0.001). The multivariable Cox regression analysis identified WBC, platelet, and CACS as independent risk factors for ACS in MPN patients. Finally, ROC curves indicated that WBC, platelet, and CACS have a high predictive value for ACS in MPN patients (AUC = 0.890). CACS combined with WBC and platelet might be a promising model for predicting ACS occurrence in MPN patients.

Pengaruh Latihan Speed Play Terhadap Nilai Hematokrit Dan Kardiorespirasi Atlet Basket

The purpose of this study was to determine the effect of regular exercise with the speed play method in increasing cardiorespiratory capacity and blood hematocrit levels in Pinisi basketball athletes. The research method used was the one-group pre-posttest design experiment. The instruments used in this study were the Multistage Test (MFT) for cardiorespiratory and hct meter to measure blood hematocrit levels. The results of this study found that the percentage of blood hematocrit after the intervention of the speed play training method for the Pinisi basketball athletes was 44.94% higher than the average hematocrit level before being given the speed play training method for the Pinisi basketball athletes, which was 41.64%. There was a change with an average value of 3.3% in per 100 mg of blood, meanwhile the average cardiorespiratory capacity after the implementation of the speed play training program in Pinisi basketball athletes was 43.49 ml/kg/minute, which means an increase from the average capacity cardiorespiratory training before being given speed play training in phinisi basketball athletes of 40.95 ml/kg/minute experienced an average change of 2.54 ml/kg/minute.

Disrupted one-carbon metabolism in heifers negatively affects their health and physiology.

The objective of this study was to determine the dose-dependent response of one-carbon metabolite (OCM: methionine, choline, folate, and vitamin B12) supplementation on heifer dry matter intake on fixed gain, organ mass, hematology, cytokine concentration, pancreatic and jejunal enzyme activity, and muscle hydrogen peroxide production. Angus heifers (n = 30; body weight [BW] = 392.6 ± 12.6kg) were individually fed and assigned to one of five treatments: 0XNEG: total mixed ration (TMR) and saline injections at days 0 and 7 of the estrous cycle, 0XPOS: TMR, rumen-protected methionine (MET) fed at 0.08% of the diet dry matter, rumen-protected choline (CHOL) fed at 60g/d, and saline injections at days 0 and 7, 0.5X: TMR, MET, CHOL, 5-mg B12, and 80-mg folate injections at days 0 and 7, 1X: TMR, MET CHOL, 10-mg vitamin B12, and 160-mg folate at days 0 and 7, and 2X: TMR, MET, CHOL, 20-mg vitamin B12, and 320-mg folate at days 0 and 7. All heifers were estrus synchronized but not bred, and blood samples were collected on days 0, 7, and at slaughter (day 14) during which tissues were collected. By design, heifer ADG did not differ (P = 0.96). Spleen weight and uterine weight were affected cubically (P = 0.03) decreasing from 0XPOS to 0.5X. Ovarian weight decreased linearly (P < 0.01) with increasing folate and B12 injection. Hemoglobin and hematocrit percentage were decreased (P < 0.01) in the 0.5X treatment compared with all other treatments. Plasma glucose, histotroph protein, and pancreatic α-amylase were decreased (P ≤ 0.04) in the 0.5X treatment. Heifers on the 2X treatment had greater pancreatic α-amylase compared with 0XNEG and 0.5X treatment. Interleukin-6 in plasma tended (P = 0.08) to be greater in the 0XPOS heifers compared with all other treatments. Lastly, 0XPOS-treated heifers had reduced (P ≤ 0.07) hydrogen peroxide production in muscle compared with 0XNEG heifers. These data imply that while certain doses of OCM do not improve whole animal physiology, OCM supplementation doses that disrupt one-carbon metabolism, such as that of the 0.5X treatment, can induce a negative systemic response that results in negative effects in both the dam and the conceptus during early gestation. Therefore, it is necessary to simultaneously establish an optimal OCM dose that increases circulating concentrations for use by the dam and the conceptus, while avoiding potential negative side effects of a disruptive OCM, to evaluate the long-term impacts of OCM supplementation of offspring programming.

Prediction of Short-Term Postoperative Complications Following Open Reduction Internal Fixation of Acute Ankle Fractures

Introduction/Purpose: Acute ankle fractures are a common injury and represent a significant financial burden to the healthcare system. Reimbursement following ankle fractures is complicated by bundled payments within the 90-day global period which do not account for unpredictable complications. Comorbidity indices, such as the American Society of Anesthesiologists (ASA) classification, are often correlated with complications; however, the positive predictive value of these metrics have not been investigated. As insurers continue to transition towards bundled reimbursements, greater attentiveness towards providing efficient care is paramount. The purpose of this investigation is to develop a machine learning (ML) model that is predictive of complications following operative management of acute ankle fractures. This study will also compare ML algorithms to legacy indices to assess the predictive value in predicting complications. Methods: The American College of Surgeons-National Surgical Quality Improvement Program database was queried via Current Procedural Terminology (CPT) from 2015-2018 for open reduction internal fixation (ORIF) cases for ankle fractures, including ORIF of the medial malleolus, posterior malleolus, lateral malleolus, bimalleolar, trimalleolar, syndesmosis. Training and validation sets were created by randomly assigning 80% and 20% of the data set. Included variables were age, body mass index (BMI), operative time, smoking status, comorbidities, diagnosis, and preoperative hematocrit and albumin. Complications included any adverse event, transfusion, surgical site infection, return to the operating room, deep vein thrombosis or pulmonary embolism, pneumonia, urinary tract infection, cerebrovascular accident, cardiac arrest, myocardial infarction. Each ML algorithm was compared with one another and to a baseline model using American Society of Anesthesiologists (ASA) classification. Model strength was evaluated by calculating the area under the curve (AUC) for receiver operating characteristic (ROC) of any adverse event. Results: We identified a total of 28,736 ORIF cases. Mean age and BMI were 32.2 ± 18.6 years, 30.8 ± 7.6 kg/m^2, respectively. The overall incidence of any medical complication was 3.4% (n=975) with surgical site infection (1.3%, n=386) and return to operating room (1.3%, n=367) being the most common. Percentage hematocrit, BMI, operative time, and age were of highest importance in outcome prediction. Logistic regression (AUC: 72%) and gradient boosting (AUC: 72%) ML algorithms outperformed ASA classification (AUC: 69%) for predicting any adverse event following ORIF of ankle fractures. Conclusion: Legacy comorbidity indices are simple metrics that can be easily constructed from patient demographic variables and past medical history. However, the predictive power is limited as they have shown a low positive predictive value for predicting complications. Machine learning algorithms can calculate patient-specific risk for postoperative complications which may adjust perioperative care and site of surgery. These models have the capability to optimize utilization of healthcare resources and minimize excessive expenditure by providing patient-specific care. Receiver Operating Curve-Area under the Curve Analysis for Adverse Events Following ORIF of Ankle Fractures

The effect of thyme essential oil and endothelial progenitor stem cells on lipopolysaccharide-induced sepsis in C57BL/6 mice.

Sepsis is a potentially fatal syndrome related to severe systemic inflammation developed by infection. Despite different antimicrobial therapies, morbidity and mortality rates remain high. Herbs along with cell therapy have been introduced as a promising option to improve the symptoms of sepsis. The present study aimed to evaluate the therapeutic effect of simultaneous administration of thyme essential oil (TEO) and endothelial progenitor stem cells (EPCs) on lipopolysaccharide (LPS)-induced sepsis in C57BL/6 mice. Sepsis was induced in C57Bl/6J mice by intraperitoneal injection of LPS, followed 2h later by an intravenous injection of EPCs or oral administration of TEO or simultaneous administration of TEO and EPCs. After 10 days, the complete blood cell, renal and liver factors, serum levels of inflammatory cytokines, and angiogenic factors were measured. Simultaneous treatment with EPCs and TEO significantly increased the survival of mice with sepsis and modulated the inflammatory response by reducing the serum levels of pro-inflammatory cytokines. Moreover, this treatment significantly reduced the level of white blood cells and neutrophils and increased the number of red blood cells, the percentage of hematocrit, and hemoglobin. The combination of TEO with EPCs decreased organ injuries and was assessed by lower levels of the liver enzymes alanine aminotransferase and aspartate aminotransferase compared to the sepsis group. Administration of EPCs and TEO also significantly improved angiogenic factors, lung function, and toll-like receptor 4 expression. EPCs in combination with TEO increase survival in the LPS-induced sepsis mice model by acting on several targets. Thus, the combination of TEO with EPCs can be a feasible approach for the future clinical treatment and control of sepsis.

Obstrüktif Uyku Apnede (OUA) Ortalama Trombosit Hacmi (OTH) ve OUA'da Sürekli Pozitif Hava Yolu Basıncı (CPAP) Tedavisinin OTH Üzerine Etkisi

Aims: In this study, our objective was to evaluate mean platelet volume (MPV), an indirect marker of platelet activation, in patients with obstructive sleep apnea (OSA), and assess the effect of OSA treatment with continuous positive airway pressure (CPAP) on MPV&#x0D; Methods: In this study, records of consecutive patients who underwent polysomnographic evaluation for OSA symptoms in the Sleep Disorders Laboratory during a one-year period were reviewed retrospectively. Patients who had both complete blood count and MPV measurements were included in the study.&#x0D; Results: A total of 158 patients, including 51 females (32.3%) and 107 males (67.7%), were included in the study. The mean age of the patients was 51±13 (min-18, max-82) years. OSA was detected in 74.1% (117/158) of the patients. It was determined that as the severity of OSA increased, hemoglobin and hematocrit values increased significantly. There was no significant difference in platelet count according to the presence and severity of OSA. The MPV was significantly lower in severe OSA cases compared to those without OSA and mild OSA cases. A negative correlation was observed between MPV and the apnea-hypopnea index, desaturation index, and the amount of oxygen saturation below 90% during sleep. There was no significant difference in median erythrocyte and thrombocyte counts, hematocrit percentage and hemoglobin values before and after treatment in OSA patients who used CPAP therapy. However, a significant decrease in MPV was observed after OSA treatment compared to pre-treatment. (p=0.021).&#x0D; Conclusions: The results of the study do not support an increase in MPV and hence platelet activation in severe OSA patients compared with those without OSA. However, the results suggest that one month of CPAP treatment reduces MPV and thus platelet activation in severe OSA patients. Further controlled, prospective studies including treatment outcomes are needed on this subject.

Biocompatibility assessment of bovine serum albumin conjugated manganese dioxide nanoparticle and their therapeutic role against microwave radiation induced haematological toxicity in male Wistar rats

Microwave (MW) radiations are widely used in communications, radar and medical treatment and thus human exposure to MW radiations have increased tremendously, raising health concerns as MW has been implicated in induction of oxidative stress condition in our body. Few metallic nanoparticles (NPs) have been shown to mimic the activity of antioxidant enzymes and hence can be applied for the modulation of adverse effects caused by MW. Present study aimed to assess the biocompatibility of Bovine serum albumin (BSA) conjugated manganese dioxide nanoparticles (MNP*) and to counteract the impact of MW on the haematological system of male Wistar rats. Experiments were conducted in two sets. Set I involved biodistribution and antioxidant activity evaluation of MNP* at different doses. Results showed a dose-dependent increase in antioxidant potential and significant biodistribution in the liver, spleen, kidney, and testis, with no organ damage, indicating its biocompatibility. Experiment set II constituted the study of separate and combined effects of MW and MNP* on haematological parameters, oxidative status, and genotoxic study in the blood of rats. MW exposure significantly altered red blood cell count, hemoglobin, packed cell volume percentage, monocyte percentage, aspartate aminotransferase, Alanine aminotransferase and uric acid. MW also induced significant DNA damage in the blood. A significant increase in lipid peroxidation and a decrease in antioxidant enzyme superoxide dismutase was also observed in MW exposed group. However, these alterations were reduced significantly when MNP* was administered. Thus, MNP* showed biocompatibility and modulatory effects against MW-induced alterations in the haematological system of rats.

Evaluation of acute toxicity of Scabiosa artropurperea var.maritima aqueous extracts in Swiss mice

Scabiosa artropurperea var.maritima is a plant widely distributed in the Mediterranean region and used as a traditional medicine. The present study evaluated the biochemical composition and the potential toxicity of aqueous extract of whole Scabiosa artropurperea var.maritima through acute toxicity oral administration in male mice. Phytochemical analysis of the Scabiosa artropurperea var.maritima revealed high levels of reductor sugars and significant flavonoid and total phenol content. The aqueous extract of Scabiosa artropurperea var.maritima was daily oral administered to mice at doses of 300 (group 1), 2000 (group 2) and 4000 (group 3) mg/kg body weight per day for 14 days. We observed no significant difference in the consumption of food, body weight and relative organ weights except for an increase in the seminal vesicles weight in group 3. Hematological parameters revealed the non-adverse effects of prolonged oral consumption of Scabiosa artropurperea var.maritima except for a slight increase but significant of percentage of hematocrit in group 1 and 3 and a decrease in percentage of granulocytes in group 2. The histopathologic examination did not show any differences in vital organs. We also observed non-adverse effects on the reproductive parameters including testosterone concentration, spermatozoa motility and morphologies. Based on our findings, the aqueous extract of Scabiosa artropurperea var.maritima could be considered safe for oral medication in animals.

Therapeutic Effects of BRC Functional Food from Indonesian Black Rice on Body Weight and Haematological Parameters in Obese Rats

Obesity increases the risk of various diseases. Black rice, renowned for its high anthocyanin content, is considered a potential functional food for preventing metabolic disorders. The current study investigated the effects of black rice crunch (BRC) on body weight and haematological profiles in obese rats. Rats were fed with high-fat diet to induce obesity and supplemented with different concentrations of BRC for 4 and 8 weeks. The results showed that high-fat diet effectively induced obesity, as evidenced by significant increase in body weight. Importantly, 75% BRC supplementation resulted in significant weight reduction in obese rats. Further analysis revealed an increase in erythrocyte numbers in obese groups supplemented with 75% BRC, but no significant changes in haemoglobin concentration or haematocrit percentage. Further investigation showed that 75% BRC led to a decrease in mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), and mean corpuscular volume (MCV), potentially affecting the size and concentration of haemoglobin within erythrocytes. The total leucocytes count increased with the high-fat diet, while BRC supplementation alone did not have significant impact. Lymphocyte percentage remained stable across the groups, indicating minimal influence of the dietary interventions. Neutrophil percentage varied initially but was not specific to BRC or the high-fat diet. Platelet count and distribution width were not significantly influenced, but mean platelet volume (MPV) increased after 8 weeks of BRC treatment, suggesting larger platelet sizes associated with obesity. Overall, the study provides important insights into the effects of BRC supplementation on body weight and haematological parameters related to obesity.

Effects of the Birthplace Altitude and Training Volume on Hematological Characteristics in Youth and Junior Male Colombian Cyclists.

The long-term development of talent in endurance sports is a topic of interest. Among various factors, the importance of total hemoglobin mass (tHbmass) and the potential benefits of being an altitude-native athlete remain unclear, particularly in young categories. This study aimed to investigate the impact of altitude and training content on hematological characteristics by comparing young male cyclists age 15-16 and 17-18years who were born and trained at a moderate altitude (ie,greater than or equal to 2500m; MA) and cyclists who were born and trained at low altitude (below 1000m; LA). tHbmass (in grams and grams per kilogram), measured by using the optimized carbon monoxide rebreathing method during an incremental test on a cycle ergometer; hematocrit percentage, hemoglobin concentration; and erythrocyte, blood, and plasma volume were measured in youth male cyclists age 15-16years and junior cyclists age 17-18years who were born and trained at MA versus LA. All variables were analyzed with a 2-way (age [youth cyclist vs junior cyclist] × altitude level [MA vs LA]) analysis of variance with subsequent Tuckey post hoc test. Some altitude-induced benefits were reported in cyclists at age 15-16years in the MA group with higher values in hematocrit percentage, hemoglobin concentration, and tHbmass (grams per kilogram) (P < .05) than their LA counterparts. This was also observed at age 17-18years (P < .001), except for tHbmass, wherein no significant difference was found between MA and LA groups. In contrast, plasma volume was lower in MA than LA junior cyclists. (1) The altitude of birth and residence could generate an advantage in tHbmass in young male cyclists age 15-16 and 17-18years who train at MA compared with cyclists who are born and train at LA. (2) Altitude-induced benefits in physiological variables (hematocrit percentage, hemoglobin concentration, tHbmass in g·kg-1) were reported in cyclists at age 15-16years and partially at age 17-18years. In contrast, plasma volume was lower in MA than in LA junior cyclists. This may impact the strategies for identifying and developing talent in cycling.

Support Vector Machine Outperforms Other Machine Learning Models in Early Diagnosis of Dengue Using Routine Clinical Data.

Background: There is a dire need for the establishment of active dengue surveillance to continuously detect cases, circulating serotypes, and determine the disease burden of dengue fever (DF) in the country and region. Predicting dengue PCR results using machine learning (ML) models represents a significant advancement in pre-emptive healthcare measures. This study outlines the comprehensive process of data preprocessing, model selection, and the underlying mechanisms of each algorithm employed to accurately predict dengue PCR outcomes. Methods: We analyzed data from 300 suspected dengue patients in Islamabad and Rawalpindi, Pakistan, from August to October 2023. NS1 antigen ELISA, IgM and IgG antibody tests, and serotype-specific real-time polymerase chain reaction (RT-PCR) were used to detect the dengue virus (DENV). Representative PCR-positive samples were sequenced by Sanger sequencing to confirm the circulation of various dengue serotypes. Demographic information, serological test results, and hematological parameters were used as inputs to the ML models, with the dengue PCR result serving as the output to be predicted. The models used were logistic regression, XGBoost, LightGBM, random forest, support vector machine (SVM), and CatBoost. Results: Of the 300 patients, 184 (61.33%) were PCR positive. Among the total positive cases detected by PCR, 9 (4.89%), 171 (92.93%), and 4 (2.17%) were infected with serotypes 1, 2, and 3, respectively. A total of 147 (79.89%) males and 37 (20.11%) females were infected, with a mean age of 33 ± 16 years. In addition, the mean platelet and leukocyte counts and the hematocrit percentages were 75,447%, 4189.02%, and 46.05%, respectively. The SVM was the best-performing ML model for predicting RT-PCR results, with 71.4% accuracy, 97.4% recall, and 71.6% precision. Hyperparameter tuning improved the recall to 100%. Conclusion: Our study documents three circulating serotypes in the capital territory of Pakistan and highlights that the SVM outperformed other models, potentially serving as a valuable tool in clinical settings to aid in the rapid diagnosis of DF.