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OBJECTIVE: This study introduces the complete blood count (CBC), a standard prenatal screening test, as a biomarker for diagnosing preeclampsia with severe features (sPE), employing machine learning models. METHODS: We used a boosting machine learning model fed with synthetic data generated through a new methodology called DAS (Data Augmentation and Smoothing). Using data from a Brazilian study including 132 pregnant women, we generated 3,552 synthetic samples for model training. To improve interpretability, we also provided a ridge regression model. RESULTS: Our boosting model obtained an AUROC of 0.90±0.10, sensitivity of 0.95, and specificity of 0.79 to differentiate sPE and non-PE pregnant women, using CBC parameters of neutrophils count, mean corpuscular hemoglobin (MCH), and the aggregate index of systemic inflammation (AISI). In addition, we provided a ridge regression equation using the same three CBC parameters, which is fully interpretable and achieved an AUROC of 0.79±0.10 to differentiate the both groups. Moreover, we also showed that a monocyte count lower than 490 / m m 3 yielded a sensitivity of 0.71 and specificity of 0.72. CONCLUSION: Our study showed that ML-powered CBC could be used as a biomarker for sPE diagnosis support. In addition, we showed that a low monocyte count alone could be an indicator of sPE. SIGNIFICANCE: Although preeclampsia has been extensively studied, no laboratory biomarker with favorable cost-effectiveness has been proposed. Using artificial intelligence, we proposed to use the CBC, a low-cost, fast, and well-spread blood test, as a biomarker for sPE.

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Optimizing early breast cancer (BC) detection requires effective risk assessment tools. This retrospective study from Brazil showcases the efficacy of machine learning in discerning complex patterns within routine blood tests, presenting a globally accessible and cost-effective approach for risk evaluation. We analyzed complete blood count (CBC) tests from 396,848 women aged 40-70, who underwent breast imaging or biopsies within six months after their CBC test. Of these, 2861 (0.72%) were identified as cases: 1882 with BC confirmed by anatomopathological tests, and 979 with highly suspicious imaging (BI-RADS 5). The remaining 393,987 participants (99.28%), with BI-RADS 1 or 2 results, were classified as controls. The database was divided into modeling (including training and validation) and testing sets based on diagnostic certainty. The testing set comprised cases confirmed by anatomopathology and controls cancer-free for 4.5-6.5 years post-CBC. Our ridge regression model, incorporating neutrophil-lymphocyte ratio, red blood cells, and age, achieved an AUC of 0.64 (95% CI 0.64-0.65). We also demonstrate that these results are slightly better than those from a boosting machine learning model, LightGBM, plus having the benefit of being fully interpretable. Using the probabilistic output from this model, we divided the study population into four risk groups: high, moderate, average, and low risk, which obtained relative ratios of BC of 1.99, 1.32, 1.02, and 0.42, respectively. The aim of this stratification was to streamline prioritization, potentially improving the early detection of breast cancer, particularly in resource-limited environments. As a risk stratification tool, this model offers the potential for personalized breast cancer screening by prioritizing women based on their individual risk, thereby indicating a shift from a broad population strategy.

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OBJECTIVE: To assess concordance between umbilical cord blood (UCB) and neonatal blood (NB) laboratory test results at birth. STUDY DESIGN: This retrospective study considered very preterm neonates (<32 weeks' gestational age) admitted to a tertiary neonatal intensive care unit from 2012 to 2023. Inclusion criteria required neonates with a complete blood count measured in both UCB and NB drawn within 2 hours after birth. Median hemoglobin (Hb) and hematocrit (Hct) concentrations were compared between UCB (venous samples) and NB (venous, arterial, or capillary samples). RESULTS: A total of 432 neonates with paired UCB and NB values were included in the study. Hb concentration in UCB was 14.7 g/dL (IQR 13.5-16.1 g/dL) compared with 14.8 g/dL (IQR 12.6-19.3 g/dL) in venous NB samples, 13.9 g/dL (IQR 12.9-15.3 g/dL) in arterial NB and 18.7 g/dL (IQR 16.6-20.8 g/dL) in capillary NB. The regression equation showed a correction factor of 1.08 for converting Hb values from UCB to venous NB. Median Hct concentration in UCB was 0.45 L/L (IQR: 0.41-0.49 L/L) compared with 0.48 L/L (IQR 0.43-0.54 L/L) in venous NB, 0.42 L/L (IQR 0.38-0.45 L/L) in arterial NB and 0.57 L/L, (IQR 0.51-0.63 L/L) in capillary NB. CONCLUSIONS: Hb and Hct concentrations measured in UCB are similar to those measured in venous blood in very preterm infants and are valid alternatives for NB tests at birth. Hb and Hct concentrations in arterial and capillary NB are respectively lower and higher compared with UCB measurements.

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OBJECTIVE: This study aimed to compare the hematological parameters released by hematological analyzers with those released in customer reports. METHODS: We conducted a descriptive study in the laboratories of a medium-sized municipality in the state of Minas Gerais registered in the National Register of Health Establishments. Interviews were conducted using a questionnaire to obtain information regarding the parameters released by the analyzers and those available in the customer's report. RESULTS: Sixteen laboratories were evaluated, and none of them released all the parameters obtained from the hematological analyzers to customers. The red blood cell distribution width was released in 88% of the laboratories, atypical lymphocytes in 70%, mean platelet volume in 50%, platelet distribution width and platelet count in 20%. No laboratory released information on reticulocytes, fraction of immature reticulocytes and immature granulocytes, nucleated erythrocyte count, immature platelet fraction and reticulocyte hemoglobin, and large platelet rate. CONCLUSION: All evaluated clinical analysis laboratories had at least one parameter that was not released in the customer's report despite being released by the hematological analyzers. The lack of knowledge on the part of professionals about the clinical importance of each parameter of the complete blood count results in a loss in patient assessment, and it is important to include these parameters in the complete blood count report.

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The complete blood count (CBC) is one of the most requested tests by physicians. CBC tests, most realized in conventional hematological analyzers, are restricted to centralized laboratories due to frequent maintenance, large devices, and expensive costs required. On the other hand, most handheld CBC devices commercially available show high prices and are not liable to calibration or control procedures, which results in poor quality compared to standard hematology instruments. The Hilab system is a small-handed hematological platform that uses microscopy and chromatography techniques for blood cells and hematimetric parameters analysis through artificial intelligence, machine learning, and deep learning techniques. For clinical evaluation of the handheld CBC device, 450 blood samples were analyzed. The samples encompassed normal (82%) and pathological conditions (18%), such as thalassemias (2.2%), anemias (6.6%), and infections (9.2%). For all analytes, accuracy, precision, method comparison, and flagging capabilities of the Hilab System, were compared with the Sysmex XE-2100 (Sysmex, Japan) results. The sample source (venous and capillary) influences were also evaluated. Pearson correlation, Student t test, bias, and the Bland-Altman plot of each blood count analyte were calculated and shown. The significance level was set at p ≤ 0.05. For clinical evaluation, Hilab System and the Sysmex XE-2100 showed a strong correlation (r ≥ 0.9) for most evaluated parameters. In the precision study, analytes showed CV inside the limits established according to European Federation of Clinical Chemistry and Laboratory Medicine guidelines. The flagging capabilities of the Hilab system, compared to the manual microscopy technique, presented high sensibility, specificity, and accuracy. Venous and capillary samples (p > 0.05) do not differ statistically. Considering the need for point-of-care CBCs, the study indicated that the Hilab system provides fast, accurate, low cost, and robust analysis for reliable clinical use.

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Abstract The effect of hypothermia treatment on white blood cell (WBC), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR) values as an indicator of inflammation was evaluated in newborns with hypoxic ischemic encephalopathy (HIE). The study was performed that the before-therapeutic hypothermia (TH) and after-TH WBC, lymphocytes, neutrophils, monocytes and NLR, LMR and PLR values of the complete blood cell count were retrospectively evaluated. The results of the patient group were compared with the results of healthy newborns. A total of 78 patients who underwent TH were evaluated in our study. Mean values before and after TH were NLR3.8/2.7, LMR 5.6/8.6, and PLR 60.3/67.1 respectively. A statistical significance was present for NLR values before and after TH in those with seizure in our study (4.15±2.95/3.01±2.54) but no statistical significance was found for LMR or PLR. In neonates with HIE, effect of TH on complete blood cell count and inflammatory mechanisms (mediated neutrophil and lymphocyte) may be minimal.

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Objective: Present an explainable artificial intelligence (AI) approach for COVID-19 diagnosis with blood cell count. Methods: Five AI algorithms were evaluated: Logistic Regression, Random Forest, Support Vector Machine, Gradient Boosting and eXtreme Gradient Boosting. A Bayesian optimization with 5-Fold cross-validation was used to hyper-parameters tuning. The model selection evaluated three results: cross validation performance, test set prediction performance and a backtest: performance on identifying patients negative for COVID-19, but positive for others respiratory pathologies. Shapley Additive explanations (SHAP) was used to explain the chosen model. Results: A Random Forest model was obtained with 77.7% F1-Score (IC95%:57.1;92.3), 85.9% AUC (IC95%:73.7;95.9), 74.4% Sensitivity (IC95%:50.0;92.1) and 97.5% Specificity (IC95%:93.6;100.0). The main features were leukocytes, platelets and eosinophils. Conclusion: The research highlights the importance of model interpretability, demonstrating blood cell count as a possibility for COVID-19 diagnosis. The methodological structure developed, using TRIPOD's guidelines, can be extrapolated to other pathologies.

Objetivo: Propor uma abordagem com inteligência artificial explicável para diagnóstico de COVID-19 com hemograma. Métodos: Cinco algoritmos de IA foram testados: Regressão Logística, Florestas Aleatórias, Máquina de Vetores de Suporte, Gradient Boosting e eXtreme Gradient Boosting. Os hiper-parâmetros foram definidos através da otimização bayesiana com validação cruzada 5-Fold. A seleção de modelo utilizou três resultados de desempenho para definir o melhor modelo: validação cruzada, conjunto de teste e rendimento na identificação de pacientes negativos para COVID-19, porém positivos para outras patologias respiratórias (backtest). Ao final, Shapley Additive explanations (SHAP) foi utilizado para explicar o modelo escolhido. Resultados: Obteve-se um modelo Random Forest com F1-Score de 77.7% (IC95%:57.1;92.3), AUC de 85.9% (IC95%:73.7;95.9), Sensibilidade de 74.4% (IC95%:50.0;92.1) e Especificidade de 97.5% (IC95%:93.6;100.0). As principais variáveis foram leucócitos, plaquetas e eosinófilos. Conclusão: A pesquisa destaca a importância da interpretabilidade do modelo, demonstrando o hemograma como uma possibilidade para diagnosticar COVID-19. A estrutura metodológica desenvolvida no estudo, utilizando as diretrizes do TRIPOD, pode ser extrapolada para detecção de outras patologias.

Objetivo: Proponer un enfoque explicable de inteligencia artificial (IA) para el diagnóstico de COVID-19 con el uso de hemograma. Métodos: Cinco modelos de IA fueron evaluados: Logistic Regression, Random Forest, Support Vector Machine, Gradient Boosting e eXtreme Gradient Boosting. Los hiper-parámetros fueron definidos a través de optimización bayesiana con validación cruzada 5-Folds. La selección del modelo se utilizó tres resultados: rendimiento del validación cruzada, rendimento en conjunto de pruebas y el análisis de desempeño en identificación de pacientes negativos para COVID-19, pero positivos para otras patologías respiratorias (backtest). Shapley Additive explanations (SHAP) fue utilizado para explicar el modelo elegido. Resultados: Se obtuvo un modelo Random Forest con F1-Score de 77.7% (IC95%:57.1;92.3), AUC de 85.9% (IC95%:73.7;95.9), Sensibilidad de 74.4% (IC95%:50.0;92.1) y Especificidad de 97.5% (IC95%:93.6;100.0). Las principales variables fueron leucocitos, plaquetas y eosinófilos. Conclusión: La investigación presenta la importancia de la interpretabilidad del modelo, demostrando el uso de hemograma como posibilidad para diagnosticar COVID-19. La estructura elaborada, siguiendo las directrices de TRIPOD, puede ser extrapolar para otras patologías.

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SUMMARY: The use of hematological counts for the prevention, diagnosis and follow-up of hematological diseases has increased. Indeed, the correct operation of a clinical laboratory is essential to producing comparable results. However, there is a paucity of validation and reproducibility studies among the different existing methods for clinical analysis. Therefore, our aim was to assess the commutability of the results provided by analyzers with different measuring systems. Sixty venous blood samples were obtained from patients, without discriminating for age or sex. Then, an automated hematological analysis was performed using the Cell-Dyn Ruby and HumaCount 5L instruments. The variables measured were: RBC, Hb, HCT, MCV, MCH and MCHC. The data were compared by a one-way ANOVA and Pearson's correlation coefficient. Statistical significance was fixed at p < 0.05. There were no statistically significant differences for RBC, HCT, MCH or MCHC. In addition, with the exception of MCHC, all the analytes showed a good correlation coefficient between the two instruments. There is a variety of automated systems for the clinical laboratory and it is essential for the clinician to know the different methodologies used in hematological analyzers as well as their sensitivity and specificity. Therefore, our results are useful for demonstrating the importance of practical knowledge of the analyzers mentioned.

RESUMEN: El uso de recuentos de células sanguíneas para la prevención, diagnóstico y monitoreo de enfermedades hematológicas ha ido en aumento. Por ello, el funcionamiento correcto de un laboratorio clínico es indispensable para producir resultados comparables. Sin embargo, existen pocos estudios de validación y reproducibilidad de los diferentes métodos de análisis clínico existentes. Por lo tanto, nuestro objetivo fue evaluar la intercambiabilidad de los resultados entregados por los analizadores que utilizan diferentes sistemas de medición. Se obtuvieron sesenta muestras de sangre venosa de pacientes, sin discriminar por edad o sexo. Los eritrogramas fueron obtenidos utilizando los analizadores automatizados Cell-Dyn Ruby y HumaCount 5L. Las variables medidas fueron: RBC, Hb, HCT, MCV, MCH y MCHC. Los datos fueron comparados por ANOVA a una vía y la correlación de Pearson. La significación estadística se estableció en el nivel estándar p<0,05. No hubo diferencias estadísticamente sig- nificativas para RBC, HCT, MCH y MCHC. Con la excepción de la MCHC, todos los analitos presentaron un buen coeficiente de correlación entre los dos analizadores comparados. Existen varios sistemas de automatización para su uso en laboratorios clínicos. Por lo tanto, es primordial para el clínico estar familiarizado con las diferentes metodologías utilizadas en los analizadores de sangre, así como su sensibilidad y especificidad. Nuestros resultados son útiles para mostrar la importancia del conocimiento práctico de los diferentes sistemas de medidas comparados.

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We conducted a secondary analysis of a prospective study of infants ≤60 days of age who were febrile to assess the diagnostic accuracy of automated vs manual immature neutrophils for invasive bacterial infections. Although manual counts were superior compared with automated counts, bands had suboptimal accuracy overall and had significant variability in test characteristics based on methodology.

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BACKGROUND: The hematology analyzer, Sysmex XN-1000, generates white blood cell count with varying scattering intensities during a complete blood count (CBC) analysis. OBJECTIVES: The objectives of the study were to study the predictive role of median and coefficient of variation of neutrophil scattering items in blood samples for differentiation of leukemic subjects. METHODS: We evaluated six neutrophil scattering parameters: neutrophil side scatter mean intensity, neutrophil side fluorescence light (SFL) mean intensity, neutrophil forward scatter mean intensity, neutrophil side scatter area distribution width (NE-WX), neutrophil SFL area distribution width (NE-WY), and neutrophil forward scatter area distribution width (NE-WZ), measured in white blood cell differential scattergram generated by the hematology analyzer (Sysmex XN-1000) at an academic medical center. RESULTS: We collected 433 blood samples from acute myeloid leukemia (AML) and acute lymphoid leukemia (ALL) cases and normal controls. AML group showed highly significant differences in the mean values compared with the control group. Out of six neutrophil scattering items, NE-WX, NE-WY, and NE-WZ showed high efficiency, with area under the curve (AUC) values of 0.764, 0.748, and 0.757, respectively, to differentiate AML from ALL cases and control groups. When comparing combined acute leukemia cases (AML plus ALL) with the control group, NE-WX, NE-WY, and NE-WZ generated highly significant AUC values (0.840, 0.884, and 0.801, respectively). CONCLUSION: The neutrophil scattering parameters generated during CBC analysis provide a new tool for the prediction of acute leukemia and its lineage.

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Complete blood count (CBC)-derived parameters such as neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), eosinophil-to-lymphocyte (ELR) ratio, and platelet-to-lymphocyte ratio (PLR) are sensitive markers of occult inflammation and disease activity for systemic lupus erythematosus, rheumatoid arthritis, psoriasis, esophageal cancer, etc. We assessed NLR, PLR, MLR, and ELR as indicators of inflammation in achalasia patients.This cross-sectional study included 103 achalasia patients and 500 healthy blood donor volunteers (HD). Demographic, clinical and laboratory information was collected. NLR, MLR, ELR and PLR were calculated. Peripheral Th22, Th17, Th2 and Th1 subsets were determined by flow cytometry. Correlation between hematologic indices and clinical questionnaires scores, HRM parameters and CD4+ T-cells were assessed. Hematologic parameters associated with the different achalasia subtypes were evaluated by logistic regression analysis.Hemoglobin, leukocytes, lymphocytes, monocytes, and platelets counts were significantly lower in achalasia patients vs controls. NLR (P = .006) and ELR (P < .05) were higher in achalasia patients vs controls. NLR was significantly associated with achalasia in multivariate analysis (P < .001). Compared to HD, the achalasia group was 1.804 times more likely to have higher NLR (95% CI 1.287-2.59; P < .001). GERD-HRQL score had statistically significant correlations with PLR (Pearson's rho:0.318, P = .003), and ELR (Pearson's rho:0.216; P = .044). No correlation between CD4+ T-cells and hematologic indices were determined. NLR with a cut-off value of ≥2.20 and area under the curve of 0.581 yielded a specificity of 80% and sensitivity of 40%, for the diagnosis of achalasia.NLR is increased in achalasia patients vs HD. Sensitivity and specificity achieved by NLR may contribute to a clinical and manometric evaluation. We suggest these indices as potential indicators of silent inflammation and disease activity.

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ABSTRACT Background: The hematology analyzer, Sysmex XN-1000, generates white blood cell count with varying scattering intensities during a complete blood count (CBC) analysis. Objectives: The objectives of the study were to study the predictive role of median and coefficient of variation of neutrophil scattering items in blood samples for differentiation of leukemic subjects. Methods: We evaluated six neutrophil scattering parameters: neutrophil side scatter mean intensity, neutrophil side fluorescence light (SFL) mean intensity, neutrophil forward scatter mean intensity, neutrophil side scatter area distribution width (NE-WX), neutrophil SFL area distribution width (NE-WY), and neutrophil forward scatter area distribution width (NE-WZ), measured in white blood cell differential scattergram generated by the hematology analyzer (Sysmex XN-1000) at an academic medical center. Results: We collected 433 blood samples from acute myeloid leukemia (AML) and acute lymphoid leukemia (ALL) cases and normal controls. AML group showed highly significant differences in the mean values compared with the control group. Out of six neutrophil scattering items, NE-WX, NE-WY, and NE-WZ showed high efficiency, with area under the curve (AUC) values of 0.764, 0.748, and 0.757, respectively, to differentiate AML from ALL cases and control groups. When comparing combined acute leukemia cases (AML plus ALL) with the control group, NE-WX, NE-WY, and NE-WZ generated highly significant AUC values (0.840, 0.884, and 0.801, respectively). Conclusion: The neutrophil scattering parameters generated during CBC analysis provide a new tool for the prediction of acute leukemia and its lineage.

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Introducción: La visión actual de las enfermedades por inmunodeficiencia primaria (IDP) incluye un número creciente de síndromes que están asociados con la desregulación inmune y la autoinmunidad como características predominantes. Las citopenias autoinmunes pueden ser el primer signo de desregulación que precede a la presentación clásica de inmunodeficiencia primaria, con infecciones recurrentes u oportunistas. El conocimiento de un espectro de enfermedades potencialmente involucradas (hematológicas, reumatológicas e inmunológicas) es crucial para la identificación de una cierta proporción de genotipos y fenotipos de otros diagnósticos descritos. También permitirá excluir desórdenes como lupus eritematoso sistémico, inmunodeficiencia variable común, síndrome linfoproliferativo autoinmune; así como realizar diagnósticos diferenciales noveles como la deficiencia de GATA2, deficiencia de CD27, deficiencia de sensibilidad a lipopolisacáridos, síndrome fosfoinositol-3-quinasa delta activada, inmunodeficiencia ligada a X con déficit de magnesio y otros. Objetivo: Proporcionar una sinopsis conceptual de la aparición de citopenias en las IDP con el propósito de actualizar el conocimiento actual sobre dicho tema y de aumentar la percepción, tanto de hematólogos como inmunólogos, en relación a la presentación de citopenias como manifestación de estas enfermedades. Métodos: Se revisaron artículos originales y de corte experimental publicados en la década 2009 - 2019, en algunas bases de datos de la Biblioteca Virtual de Salud (BVS) de Cuba. Conclusiones: Al igual que las formas benignas autolimitadas de citopenia autoimmune post o parainfecciosas, o la neutropenia autoimmune adquirida de la infancia, que generalmente ocurren independientemente de una IDP subyacente reconocida, muchas de las citopenias que acompañan a esta enfermedad (pero no todas) están mediadas por autoanticuerpos. Es esencial entonces, que los médicos valoren, ante la evidencia clara de citopenia, que esta puede ser autoinmune(AU)

Introduction: The current view of primary immunodeficiency diseases (IDP) includes an increasing number of syndromes that are associated with immune dysregulation and autoimmunity as predominant characteristics. Autoimmune cytopenias may be the first sign of dysregulation that precedes the classic presentation of primary immunodeficiency, with recurrent or opportunistic infections. The knowledge of a spectrum of potentially involved diseases (hematological, rheumatological and immunological) is crucial for the identification of a certain proportion of genotypes and phenotypes of other diagnoses described. It will also allow excluding disorders such as systemic lupus erythematosus, common variable immunodeficiency, autoimmune lymphoproliferative syndrome; as well as making novel differential diagnoses such as GATA2 deficiency, CD27 deficiency, lipopolysaccharide sensitivity deficiency, activated delta phosphoinositol-3-kinase syndrome, X-linked immunodeficiency with magnesium deficiency and others. Objective: This review provides a conceptual synopsis of the appearance of cytopenias in the IDPs with the purpose of updating current knowledge on this topic and increasing the perception, of both hematologists and immunologists, in relation to the presentation of cytopenias as manifestation of these diseases. Methodos: Original and experimental articles published in the 2009-2019 decade were reviewed in some databases of the Virtual Health Library (VHL) of Cuba. Conclusions: As the self-limited benign forms of post or parainfectious autoimmune cytopenia, or childhood acquired autoimmune neutropenia, which generally occur independently of a recognized underlying IDP, many of the cytopenias that accompany this disease (but not all) mediated by autoantibodies. It is essential, then, that doctors assess, given the clear evidence of cytopenia, that it may be autoimmune(AU)

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OBJECTIVE: To describe the hematological profile in cord blood of late preterm and term newborns and compare blood indices according to sex, weight for gestational age and type of delivery. METHODS: Cross-sectional study with late preterm and term newborns in a second-level maternity. Multiple gestation, chorioamnionitis, maternal or fetal hemorrhage, suspected congenital infection, 5-minute Apgar <6, congenital malformations, and Rh hemolytic disease were excluded. Percentiles 3, 5,10, 25, 50, 75, 90, 95 and 97 of blood indices were calculated for both groups. RESULTS: 2,662 newborns were included in the sample, 51.1% males, 7.3% late preterms, 7.8% small for gestational age (SGA) and 81.2% adequate for gestational age (AGA). Mean gestational age was 35.6±1.9 and 39.3±1.0 weeks, respectively, for premature and term neonates. The erythrocytes indices and white blood cells increased from 34-36.9 to 37-41.9 weeks. Basophils and platelets remained constant during gestation. Premature neonates presented lower values ​​of all blood cells, except for lymphocytes and eosinophils. SGA neonates presented higher values ​​of hemoglobin, hematocrit and lower values of leukocytes, neutrophils, bands, segmented, eosinophils, monocytes and platelets. Male neonates presented similar values ​​of erythrocytes and hemoglobin and lower leukocytes, neutrophils, segmented and platelets. Neonates delivered by C-section had lower values ​​of red blood cells and platelets. Chronic or gestational hypertension induced lower number of platelets. CONCLUSIONS: Blood cells increased during gestation, except for platelets and basophils. SGA neonates had higher hemoglobin and hematocrit values and lower leukocytes. Number of platelets was smaller in male SGAs, born by C-section and whose mothers had hypertension.

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This work proposes a non-invasive method to estimate the number of red blood cells in the blood. To achieve the development of this research, first, a photosensitive device was designed, which is formed by a phototransistor with a transparent casing allowing the red light coming from a red LED to penetrate the sensor. This means, that when the intensity of the light varies, the amount of current flowing through the sensor also changes. In consequence, this variation in electric current causes a variation on the voltage drop across the connections of a resistor, which is read by a microcontroller that calculates the number of red blood cells. Second, some formulas were established to represent the relationship between the extreme points of a data set obtained during a sampling process. Finally, to verify the device operation, a sampling process was performed in volunteer patients (range 18-84 years) with venous blood samples run on a laboratory hematology analyzer, a total 68 measurements were made to people of different ages and genders, of which 34 are females and 34 are males.

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ABSTRACT Objective: To describe the hematological profile in cord blood of late preterm and term newborns and compare blood indices according to sex, weight for gestational age and type of delivery. Methods: Cross-sectional study with late preterm and term newborns in a second-level maternity. Multiple gestation, chorioamnionitis, maternal or fetal hemorrhage, suspected congenital infection, 5-minute Apgar <6, congenital malformations, and Rh hemolytic disease were excluded. Percentiles 3, 5,10, 25, 50, 75, 90, 95 and 97 of blood indices were calculated for both groups. Results: 2,662 newborns were included in the sample, 51.1% males, 7.3% late preterms, 7.8% small for gestational age (SGA) and 81.2% adequate for gestational age (AGA). Mean gestational age was 35.6±1.9 and 39.3±1.0 weeks, respectively, for premature and term neonates. The erythrocytes indices and white blood cells increased from 34-36.9 to 37-41.9 weeks. Basophils and platelets remained constant during gestation. Premature neonates presented lower values ​​of all blood cells, except for lymphocytes and eosinophils. SGA neonates presented higher values ​​of hemoglobin, hematocrit and lower values of leukocytes, neutrophils, bands, segmented, eosinophils, monocytes and platelets. Male neonates presented similar values ​​of erythrocytes and hemoglobin and lower leukocytes, neutrophils, segmented and platelets. Neonates delivered by C-section had lower values ​​of red blood cells and platelets. Chronic or gestational hypertension induced lower number of platelets. Conclusions: Blood cells increased during gestation, except for platelets and basophils. SGA neonates had higher hemoglobin and hematocrit values and lower leukocytes. Number of platelets was smaller in male SGAs, born by C-section and whose mothers had hypertension.

RESUMO Objetivo: Descrever o perfil hematológico em sangue de cordão de recém-nascidos pré-termo tardio e a termo e comparar parâmetros hematimétricos segundo sexo, adequação peso idade gestacional e tipo de parto. Métodos: Estudo transversal com recém-nascidos pré-termo tardio e a termo, em maternidade de nível secundário. Excluíram-se gestação múltipla, corioamnionite, hemorragia materna ou fetal, suspeita de infecção congênita, Apgar no 5o minuto <6, malformações congênitas e doença hemolítica Rh. Calcularam-se os percentis 3, 5, 10, 25, 50, 75, 90, 95 e 97 dos parâmetros hematológicos. Resultados: Incluíram-se 2.662 recém-nascidos, 51,1% do sexo masculino, 7,3% prematuros tardios, 7,8% pequenos para a idade gestacional e 81,2% adequados. A idade gestacional foi 35,6±1,9 e 39,3±1,0 semanas, respectivamente, nos prematuros e termos. As séries vermelha e branca aumentaram de 34-36,9 para 37-41,9 semanas, exceto basófilos e plaquetas, que permaneceram constantes. Os prematuros apresentaram menores médias nas séries vermelha, plaquetária e branca, com exceção de linfócitos e eosinófilos. Recém-nascidos pequenos para a idade gestacional apresentaram maiores valores de hemoglobina e hematócrito e menores de leucócitos, neutrófilos, bastonetes segmentados, eosinófilos, monócitos e plaquetas. Recém-nascidos masculinos apresentaram taxas semelhantes de hemoglobina e hematócrito e menores de leucócitos, neutrófilos, segmentados e plaquetas. Na cesárea, as células vermelhas e as plaquetas foram menores que no parto vaginal. O número de plaquetas foi menor na hipertensão crônica ou gestacional. Conclusões: As células sanguíneas aumentaram durante a gestação, exceto plaquetas e basófilos. Recém-nascidos pequenos para a idade gestacional apresentaram maiores taxas de hemoglobina e hematócrito e menores de células brancas. O número de plaquetas foi menor no recém-nascido pequeno para a idade gestacional, masculino, nascido por cesárea e de mãe hipertensa.

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Cardiovascular diseases are the major causes of preventable health loss from disease in the world and lead to functional disturbances including hematological parameters. The inflammatory and hypoxemic nature of cardiovascular diseases causes a stimulus in the bone marrow and, depending on the intensity of this stimulus, there is a release of immature cells or increase of other cells in the bloodstream. Therefore, their presence in the circulation is an important variable used to diagnose, stratify and predict diseases. In the last five decades, with the advent of automated counting of immature cells in the peripheral blood, the hemogram was transformed into a clinical tool of great importance in hospital surveillance for demonstrating this daily variability in the hematopoietic response according to the existing injury in the patient. Studies have shown that the presence of nucleated red blood cells and increases in mean platelet volume, immature granulocytes and neutrophil to lymphocyte ratio in the systemic circulation are independent prognostic biomarkers. This review article has as main objective to demonstrate the association of these hematological parameters to cardiovascular diseases, emphasizing their importance in clinical decision making.

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The high mortality rates of calves has encouraged research of the physiological mechanisms that control birth and adaptation of newborns to extrauterine life, to allow early identification of the presence of disease characteristics during the neonatal period. This study aimed to determine the occurrence of anemia in Holstein calves in the first month after birth and address the lack of information on the subject in neonates raised under national conditions. In total, 385 animals, 199 from refrigerated type A raw milk producing and 186 from refrigerated raw milk producing dairy farms, were surveyed. Anemia was observed in 14.3 % of the heifers (55/385), with a higher frequency in the farms producing type A milk (18.6 %, 37/199). It was concluded that the frequency of anemia is significant in neonates of the studied breed, particularly in those with more technified properties (type A milk), with this condition being, in most cases, a possible etiology of iron-deficiency.

As altas taxas de mortalidade de bezerros têm incentivado pesquisas para o estudo dos mecanismos fisiológicos que controlam o nascimento e a adaptação desses neonatos à vida extrauterina, de modo a permitir a identificação precoce da higidez ou presença de enfermidades características do período neonatal. Este estudo para o estabelecimento da ocorrência de anemia em bezerras da raça Holandesa no primeiro mês de vida considerou 385 animais, sendo 199 provenientes de granjas leiteiras (produtoras de leite cru refrigerado do tipo A) e 186 de estábulos leiteiros (produtores de leite cru refrigerado), e permitiu o levantamento motivado pela ausência de informações sobre o tema em neonatos criados em condições nacionais. A anemia foi observada em 14,3% das bezerras (55/385), tendo frequência maior nas granjas produtoras de leite tipo A (18,6%; 37/199). Concluiu-se que a frequência de anemia é significativa em bezerros neonatos da raça estudada, particularmente nas propriedades mais tecnificadas (leite A), tendo essa condição, na maioria dos casos, uma possível etiologia ferropriva.

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