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AIM: To observe the effect of RBC preservation solution with sodium pyruvate on the morphology, structure and function of RBC stored in vitro in type 2 diabetes rats. METHODS: Thirty SPF male SD rats, were randomly divided into 3 groups (n=10): non-T2DM conventional RBC preservation solution (group A), T2DM conventional RBC preservation solution (group B) and T2DM sodium pyruvate RBC preservation solution (group C). The leukoreduced RBC from the tail vein and stored for 0 d (T0), 7 d (T1), 14 d (T2), 21 d (T3) and 28 d (T4) to detect the morphology, structure and the contents of 2, 3-DPG, reactive oxygen species (ROS), malondialdehyde (MDA) and lactic acid (LA) of RBC in group A, B and C. The RBC stored for 14 days in vitro were labeled with PKH26, and its survival rate were tested in vivo at 1, 4, 10 and 16 hours after intravenous infusion. RESULTS: At T0, the RBC morphology of group A was intact, which was better than that of group B and group C. With the extension of storage time, the morphology of RBC in each group gradually transformed into a spindle-spherical shape. Compared with group A, the incidence of acanthocytes in group B and group C was higher, and the incidence of acanthocytes in group C was lower than that in group B. Compared with group A, the content of 2, 3-DPG in group B and group C decreased, while ROS and MDA increased at different time points (P<0.05). The content of 2,3-DPG in group C was higher than that in group B (P<0.05), and the contents of ROS and MDA were lower than those in group B (P<0.05). LA content in group B was higher than that in group A and group C (P<0.05). At T2-T4, the LA content in group C was lower than that in group A (P<0.05). The survival rate of RBC in group A was higher than that in group B and C, and the survival rate of RBC in group B was lower than that in group C (P<0.05). CONCLUSION: Sodium pyruvate added RBC preservation solution has a certain protective effect on RBC stored in vitro in type 2 diabetic rats, and its mechanism may be related to its antioxidant effect.
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Abstract Introduction: Chronic kidney disease (CKD) is defined as a progressive decline of kidney functions. In childhood, the main triggering factors are congenital anomalies of the kidneys and urinary tract (CAKUT) and glomerulopathies. Inflammatory responses present challenges for diagnosis and staging, which justifies studies on biomarkers/indexes. Aim: To define blood cell count indexes and verify their association with pediatric CKD etiology and staging. The included indexes were: Neutrophil-Lymphocyte Ratio (NLR), Derived Neutrophil-Lymphocyte Ratio (dNLR), Lymphocyte-Monocyte Ratio (LMR), Systemic Inflammation Response Index (SIRI), Aggregate Index of Systemic Inflammation (AISI), and Systemic Immune-Inflammation Index (SII). Methods: We determined the indexes in 52 pediatric CKD patients and 33 healthy controls by mathematical calculation. CKD patients were separated in five groups based on the etiology and staging: Group IA: glomerulopathies at stage 1 or 2; IB: glomerulopathies at stage 3 or 4; IIA: CAKUT at stage 1 or 2; IIB: CAKUT at stage 3 or 4; and III: stages 3 or 4 of other etiologies. In addition, we combined all patients with CKD in one group (IV). Group V was a healthy control group. Results: Lower values of LMR were observed for groups IB and IIB compared to group V (p = 0.047, p = 0.031, respectively). Increased values of SIRI were found for group III versus group V (p = 0.030). There was no difference for other indexes when the groups were compared two by two. Conclusion: The LMR and SIRI indexes showed promising results in the evaluation of inflammation, as they correlated with CKD etiologies and specially staging in these patients.
Resumo Introdução: Doença renal crônica (DRC) é definida como um declínio progressivo das funções renais. Na infância, os principais fatores desencadeantes são anomalias congênitas dos rins e trato urinário (CAKUT) e glomerulopatias. Respostas inflamatórias apresentam desafios para diagnóstico e estadiamento, o que justifica estudos sobre biomarcadores/índices. Objetivo: Definir índices de contagem de células sanguíneas e verificar sua associação com etiologia e estadiamento da DRC pediátrica. Os índices incluídos foram: Razão Neutrófilo-Linfócito (NLR), Razão Neutrófilo-Linfócito Derivada (dNLR), Razão Linfócito-Monócito (LMR), Índice de Resposta à Inflamação Sistêmica (SIRI), Índice Agregado de Inflamação Sistêmica (AISI) e Índice de Inflamação Imune Sistêmica (SII). Métodos: Determinamos índices em 52 pacientes pediátricos com DRC e 33 controles saudáveis por cálculo matemático. Pacientes com DRC foram separados em cinco grupos conforme etiologia e estadiamento: Grupo IA: glomerulopatias em estágio 1 ou 2; IB: glomerulopatias em estágio 3 ou 4; IIA: CAKUT em estágio 1 ou 2; IIB: CAKUT em estágio 3 ou 4; e III: estágios 3 ou 4 de outras etiologias. Além disso, combinamos todos os pacientes com DRC em um grupo (IV). Grupo V foi um grupo controle saudável. Resultados: Observamos valores menores de LMR nos grupos IB e IIB comparados ao grupo V (p=0,047; p=0,031, respectivamente). Encontramos valores maiores de SIRI para o grupo III versus grupo V (p=0,030). Não houve diferença para outros índices quando os grupos foram comparados dois a dois. Conclusão: Os índices LMR e SIRI apresentaram resultados promissores na avaliação da inflamação, pois correlacionaram-se com as etiologias da DRC e, principalmente, com o estadiamento desses pacientes.
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ABSTRACT Introduction: The Band 3 is a red blood cell protein that carries the Dia and Dib antigens from the Diego blood system. The SLC4A1 gene encodes Band 3; Band 3 Memphis is a polymorphism of normal Band 3 and has two variants, but only the variant II carries the Dia antigen. Objectives: Describe the frequencies of the DI*A and DI*B alleles and the Band 3 Memphis among blood donors, sickle cell disease (SCD) patients and Amazonian Indians. Methods: A total of 427 blood samples were collected and separated into three groups: 206 unrelated blood donors, 90 patients with SCD and 131 Amazonian Indians. We performed DI*A/B, normal Band 3 and Band 3 Memphis genotyping, using the Polymerase Chain Reaction Restriction Fragment Length Polymorphism (PCR-RFLP). Results: The frequency of the DI*A/DI*A genotype was 0.5% in blood donors and it was not found in other groups. The frequency of the DI*A/DI*B was higher in Amazonian Indians (33.6%) and the frequency of the DI*B/DI*B was highest in blood donors (92.2%). All 105 individuals tested were positive for the presence of normal Band 3 and of these individuals, only 5/105 (4.8%) presented the Band 3 Memphis mutation. Conclusion: We observed a higher frequency of the DI*B allele in blood donors and a low frequency of the DI*A/DI*A genotype in all groups studied. The Band 3 Memphis was found in a higher frequency in the blood donor group. Our findings highlight the importance of analyzing different population groups to gain a better understanding of the genetic association of blood group antigens.
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Humans , Anemia, Sickle Cell , Blood Donors , Crystallization , ErythrocytesABSTRACT
Resumen Objetivo: Evaluar la capacidad del ancho de distribución eritrocitaria (ADE) para predecir la mortalidad en niños sometidos a cirugía cardiovascular en la Fundación Hospital Infantil Napoleón Franco Pareja, en Colombia. Método: Estudio analítico de corte transversal retrospectivo que incluyó 45 individuos de 0 a 17 años operados de cardiopatía congénita. Se aplicaron la escala RACHS-1 (Risk Adjustment in Congenital Heart Surgery) y variables de laboratorio, incluyendo el ADE. La asociación entre el ADE y la mortalidad se determinó mediante análisis por curva ROC y correlación rho de Spearman. Resultados: Un ADE superior al 15.52% representó 1.6 veces más riesgo, comparado con los individuos por debajo de ese valor (intervalo de confianza del 95%: 1.01-2.6; p = 0.034). Los valores del ADE no se correlacionaron con los días de estancia hospitalaria ni con las complicaciones. El ADE prequirúrgico y el puntaje RACHS-1 fueron significativamente mayores en el grupo de mortalidad. La relación entre el ADE prequirúrgico y el puntaje RACHS-1 fue significativa. Conclusiones: En nuestro estudio, el ADE prequirúrgico presentó un poder moderado para discriminar la mortalidad perioperatoria en la corrección quirúrgica de cardiopatías congénitas. Se precisan más estudios con mayor tamaño de muestra.
Abstract Objective: To evaluate the capacity of red cell distribution width (RDW) to predict mortality in children undergoing cardiovascular surgery at the Fundación Hospital Infantil Napoleón Franco Pareja, in Colombia. Method: Retrospective cross-sectional analytical study that included 45 individuals aged 0 to 17 years operated for congenital heart disease. The RACHS-1 (Risk Adjustment in Congenital Heart Surgery) scale and laboratory variables including the RDW were applied. The association between RDW and mortality was determined by ROC curve analysis and Spearman's rho correlation. Results: An RDW greater than 15.52% represented 1.6 times more risk, compared to individuals below that value (95% confidence interval: 1.01-2.6; p = 0.034). The RDW values did not correlate with days of hospital stay or complications. The preoperative RDW and RACHS-1 score were significantly higher in the mortality group. The relationship between presurgical RDW and the RACHS-1 score was significant. Conclusions: In our study, the preoperative RDW had moderate power to discriminate perioperative mortality in the surgical correction of congenital heart disease. More studies with a larger sample size are required.
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Diabetes is a group of metabolic diseases in which there are high blood sugar levels over a prolonged period, and if untreated could lead to complications. This study, carried out at the Igbinedion university teaching hospital Okada to ascertain some hematological parameters, using 69 known diabetes patients who enrolled as an Out-patient in the General Out-Patient Department and 69 non-diabetes apparently healthy individuals as control. Thirty-nine of thesediabetic individuals were female, while thirty were male individuals. For the non-diabetic individuals, thirty-seven were female, and thirty-two were male representing 53.6% and 46.4% respectively. Ethical approval from the institution was sought prior to commencement of study and quality control of reagents was strictly maintained. Five millilitres of whole blood was collected into an Ethylene Diamine Tetra-Acetic acid (EDTA) anticoagulated bottle, and haematological parameters including PCV, HB, WBC, RBC,MCV, MCH, MCHC and platelet count were conducted for all individuals. Result obtained for Diabetic individuals showed a mean value of 34.63, 11.24, 4.41, 7.20 and 204.27 for PCV, Hb, RBC, WBC and platelets counts respectively, while for non-diabetic individuals, a mean value of 35.04, 10.09, 3.99, 7.07 and 262.56 respectively.Hb concentration and RBC count were statistically significant (p < 0.05). The Red cell indices, MCV and MCHC, were statistically significant. This study showed a statistically significant variation in some hematological parameters of diabetic patients compared to control group .Low platelet count and alteration to red cell morphology as indicated in values of MCV and MCHC among diabetic patients are indicators of thrombotic potential. Hence, routine screening of hematological parameters should be considered for proper management of diabetic patients.
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We describe a case of carbon monoxide poisoning in a 54-year-old male from heavy cigarette smoking presenting as delusions. The patient has a history of methamphetamine-induced schizophrenia now in remission for 2 years, and not on any psychotropics and is drug-free.
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Objective To investigate the epidemiological characteristics of SARS-CoV-2 pneumonia in kidney transplant recipients and analyze the risk and protective factors of severe/critical infection with SARS-CoV-2. Methods Clinical data of 468 kidney transplant recipients infected with SARS-CoV-2 were retrospectively analyzed. According to the severity of infection, they were divided into mild SARS-CoV-2 infection recipients (n=439) and SARS-CoV-2 pneumonia group (n=29). Among the 439 mild SARS-CoV-2 infection recipients, 87 recipients who were randomly matched with their counterparts in the SARS-CoV-2 pneumonia group according to sex, age and transplantation time at a ratio of 3∶1 were allocated into the mild SARS-CoV-2 infection group. Twenty-nine recipients in the SARS-CoV-2 pneumonia group were divided into the moderate SARS-CoV-2 pneumonia group (n=21) and severe/critical SARS-CoV-2 pneumonia group (n=8). Baseline data of all recipients were collected. The risk and protective factors of SARS-CoV-2 infection in kidney transplant recipients were identified. Results The proportion of recipients complicated with 2-3 types of complications in the SARS-CoV-2 pneumonia group was higher than that in the mild SARS-CoV-2 infection group, and the proportion of recipients treated with tacrolimus(Tac)+mizoribine+glucocorticoid immunosuppression regimen in the SARS-CoV-2 pneumonia group was lower than that in the mild SARS-CoV-2 infection group, and significant differences were observed (both P<0.05). In 29 kidney transplant recipients with SARS-CoV-2 pneumonia in the SARS-CoV-2 pneumonia group, white blood cells, the absolute values of lymphocytes, eosinophils, total T cells, CD4+T cells and CD8+T cells, and serum uric acid levels were significantly lower, whereas ferritin levels were significantly higher than the values prior to SARS-CoV-2 pneumonia, and significant differences were observed (all P<0.05). Compared with the moderate SARS-CoV-2 pneumonia group, the proportion of recipients with hypoxemia was higher, the proportion of recipients treated with Tac/ciclosporin (CsA)+mycophenolate mofetil+glucocorticoid immunosuppression regimen was higher, and the proportion of recipients administered with 2-3 doses of SARS-CoV-2 vaccine was lower in the severe/critical SARS-CoV-2 pneumonia group, and significant differences were observed (all P<0.05). Conclusions More complications and immunosuppression regimen containing mycophenolate mofetil are the risk factor for SARS-CoV-2 infection in kidney transplant recipients. Vaccination with SARS-CoV-2 vaccine and immunosuppression regimen containing mizoribine are probably the protective factors for lowering the risk of SARS-CoV-2 infection. The levels of inflammatory cytokines are associated with the severity of SARS-CoV-2 pneumonia.
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Objective:To evaluate the performance of the automated digital cell morphology instrument in detecting platelet (PLT) clumps.Methods:A total of 4271 blood samples whose PLT reached the reviewing rules of thrombocytopenia were selected from inpatients having blood analysis in Xijing Hospital from January 1 st to June 30 th, 2019, including 2 200 males and 2 071 females,with a median age of (35±7.03) years old. The smears for these cases were made, stained by Wright-Giemsa, and examined to capture PLT clumps by digital cell morphology system and manual microscope separately. The digital cell analysis system (hereinafter referred to as the instrument method) as an evaluation method and the microscope method as a reference method were used to calculate the positive rate of platelet clump detection and evaluate the comparison of two methods and bias assessments. The chi-square test was used to compare counting data rates. Results:Among 4, 271 samples reaching the reviewing rule of thrombocytopenia, 128 cases with platelet clumps were detected by manual microscope(initial) with a positive detection rate of 96.24%, and a total 133 of cases with PLT clumps were detected by microscope (initial+reconfirmation) with a positive detection rate of 100 %. Meanwhile, 129 cases with platelet clumps were detected by instrument method with a positive detection rate of 96.9%. There was no significant difference in terms of positive rate of PLT clumps detection between the instrumental method and the microscope method (initial) ( χ2 =0.115, P=0.73); the positive rate of clumps detection by the instrumental method was lower than microscope method (initial+reconfirmation), and the difference was statistically significant (χ 2 =4.061, P=0.04). For instrument method, the positive rate of PLT clumps detection by simultaneous observation of RBC analysis interface+PLT aggregation interface+WBC analysis interface was higher than only observation of PLT aggregation interface, and the difference was statistically significant (χ 2 =5.090, P=0.02). The average error of the deviation of PLT counting results before and after correction of the cases with PLT plumps missed by instrument method was significantly higher than microscope method (initial), and the difference was statistically significant (χ 2 =56.26, P<0.001). Conclusion:The automated digital cell morphology system has a good consistency with manual microscope(initial) in terms of the sensitivity of platelet clumps detection and can be used as a supplementary method for detecting platelet aggregation.
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Artificial intelligence-assisted blood cell morphology examination of blood cells is very promising in clinical applications. Because it can significantly improve work efficiency, reduce the burden of manpower, avoid subjectivism, and facilitate standardization. The main difficulties lie in several key technical links, such as image acquisition, image segmentation, cell identification, and classification, etc. In recent years, both hardware devices and software algorithms have made rapid progress, which has led to the important development of artificial intelligence auxiliary systems from digital image acquisition, white blood cell segmentation, cell feature extraction, and classification. Compared with the traditional machine learning, the application of deep learning technology in the morphological identification of blood cells is particularly worthy of attention. In addition, the continuous emergence of microscopic blood cell image databases also provides important support for the further development and improvement of various algorithms. Understanding the key technical progress of artificial intelligence-assisted blood cell morphology examination will help to promote its continuous development and better clinical application. In recent years, artificial intelligence technology has changed from "traditional machine learning" to "deep learning", which no longer relies on manual extraction of features, but on its ability to automatically extract data to achieve. Compared with the blood cell image database from foreign countries, the construction of domestic databases should be strengthened to minimize the gap between foreign databases.
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Objective:To evaluate the application value of patient-based real-time quality control (PBRTQC) algorithms in intralaboratory comparison between various hematology analyzers.Method:From April 1 st 2020 to March 31 th 2021, data of white blood cell (WBC) counts and daily comparison results of fresh venous blood, measured by five hematology analyzers, were collected at the Department of Laboratory Medicine in Hebei Children′s Hospital. First, the professional intelligent PBRTQC software system was applied to conduct the parameter setting, program establishment, and performance verification. Three concentration ranges of WBC were selected, low concentration (2.5-4.5)×10 9/L, medium concentration (6.0-8.0)×10 9/L and high concentration (12.0-14.0)×10 9/L for the comparison. Next, WBC counts were calculated with both of the EWMA and median methods, the results were then analyzed by PBRTQC using the module of"intralaboratory comparison of hematology analyzers". Finally, bias of intralaboratory comparison among various hematology analyzers analyzed by means of EWMA and daily comparison results of fresh venous blood were compared. Based on the standard of WS/T 406-2012,allowable error ±7.50% in WBC counts was set as the relative bias standard among different instruments. Results:(1) A total of 38 313 sample results were included, there were 70 warning results out of these samples based on the EWMA quality control method established on the data of patients with white blood cell count in our laboratory, with an early warning rate of 0.183‰, a probability of error detection of 100%, and a probability of false loss of control of 0. EWMA quality control efficiency met the quality objectives. (2) In the comparison monitoring of the results of 5 blood cell analyzers at high concentrations, the coincidence rate between EWMA and median method were both 100% (46/46) in weekly and monthly comparison, and EWMA could maintain a relatively stable monitoring efficiency in daily comparison. (3) In the selected natural month, the consistency rate between EWMA method and fresh blood comparison method was 95.24% (20/21).Conclusion:PBRTQC can be used as a valuable supplementary tool of IQC to continuously and effectively monitor the consistency of data derived from intralaboratory hematology analyzers with different bands and types, which can not only reduce the risk of quality and operating costs, but also improve the efficiency of laboratory management.
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Objective:To evaluate the performance of an artificial intelligent (AI)-based automated digital cell morphology analyzer (hereinafter referred as AI morphology analyzer) in detecting peripheral white blood cells (WBCs).Methods:A multi-center study. 1. A total of 3010 venous blood samples were collected from 11 tertiary hospitals nationwide, and 14 types of WBCs were analyzed with the AI morphology analyzers. The pre-classification results were compared with the post-classification results reviewed by senior morphological experts in evaluate the accuracy, sensitivity, specificity, and agreement of the AI morphology analyzers on the WBC pre-classification. 2. 400 blood samples (no less than 50% of the samples with abnormal WBCs after pre-classification and manual review) were selected from 3 010 samples, and the morphologists conducted manual microscopic examinations to differentiate different types of WBCs. The correlation between the post-classification and the manual microscopic examination results was analyzed. 3. Blood samples of patients diagnosed with lymphoma, acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndrome, or myeloproliferative neoplasms were selected from the 3 010 blood samples. The performance of the AI morphology analyzers in these five hematological malignancies was evaluated by comparing the pre-classification and post-classification results. Cohen′s kappa test was used to analyze the consistency of WBC pre-classification and expert audit results, and Passing-Bablock regression analysis was used for comparison test, and accuracy, sensitivity, specificity, and agreement were calculated according to the formula.Results:1. AI morphology analyzers can pre-classify 14 types of WBCs and nucleated red blood cells. Compared with the post-classification results reviewed by senior morphological experts, the pre-classification accuracy of total WBCs reached 97.97%, of which the pre-classification accuracies of normal WBCs and abnormal WBCs were more than 96% and 87%, respectively. 2. The post-classification results reviewed by senior morphological experts correlated well with the manual differential results for all types of WBCs and nucleated red blood cells (neutrophils, lymphocytes, monocytes, eosinophils, basophils, immature granulocytes, blast cells, nucleated erythrocytes and malignant cells r>0.90 respectively, reactive lymphocytes r=0.85). With reference, the positive smear of abnormal cell types defined by The International Consensus Group for Hematology, the AI morphology analyzer has the similar screening ability for abnormal WBC samples as the manual microscopic examination. 3. For the blood samples with malignant hematologic diseases, the AI morphology analyzers showed accuracies higher than 84% on blast cells pre-classification, and the sensitivities were higher than 94%. In acute myeloid leukemia, the sensitivity of abnormal promyelocytes pre-classification exceeded 95%. Conclusion:The AI morphology analyzer showed high pre-classification accuracies and sensitivities on all types of leukocytes in peripheral blood when comparing with the post-classification results reviewed by experts. The post-classification results also showed a good correlation with the manual differential results. The AI morphology analyzer provides an efficient adjunctive white blood cell detection method for screening malignant hematological diseases.
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Morphological examination of blood cells is an important re-examination method of blood cell analysis, and it is also the basis of diagnosis of hematological diseases with cytopathic changes. Artificial intelligence assisted blood cell morphological examinationcan effectively make up for the shortcomings of artificial microscope examination methods, greatly improve the working efficiency of cell morphological examination, solve the problems of manpower shortage and labor intensity to a great extent, obviously improve the repeatability of examination results, facilitate the review of the examination results, and realize remote blood cell morphological examination and diagnosis online. However, at present, the main method of blood cell morphological examination in China is still manual microscope examination. In order to promote and expand the clinical application of artificial intelligence-assisted blood cell morphological examination, the R&D manufacturers and clinical laboratory experts of automatic blood cell morphological analyzer should work together to promote the standardization of automatic blood cell morphological analysis, strengthen its performance evaluation and verification, continuously improve its analytical performance, expand its clinical application scope, and promote the construction of blood cell morphological database in China.
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Objective:To study the relationship between red blood cell distribution width(RDW)and short-term mortality in elderly patients with hip fragility fractures.Methods:The clinical data and blood routine test at admission of 205 elderly patients with brittle hip fractures who were admitted to our hospital from 2020 to 2021 and were followed up for one year were retrospectively analyzed.The comorbid conditions, RDW and cumulative mortality at 6 months and 1 year after fractures were counted, and the relationship between RDW and short-term mortality were analyzed.Results:The 6-month(6.7% and 20.8%, χ2=8.591, P=0.003)and 1-year(6.7% and 26.7%, χ2=14.818, P<0.001)mortality of patients with ≤1 comorbidity were significantly lower than those of patients with ≥2 comorbidities.Moreover, the 6-month and 1-year mortality in patients with RDW>13.5% were significantly higher than those of patients with RDW ≤ 13.5%.The proportion of RDW>13.5 % in patients with at least two comorbidities was significantly higher than that in patients with ≤1 comorbidity.Taking RDW=13.6% as the cut-off value of 6-month and 1-year mortality, the sensitivity and specificity for predicting 6-month mortality were 71.4 % and 59.9 %, respectively, and the sensitivity and specificity for predicting 1-year mortality were 64.7 % and 59.6 %, respectively. Conclusions:Red cell distribution width is associated with short-term mortality, and higher RDW is associated with a higher risk of mortality among elderly patients with brittle hip fractures.
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Objective:To explore the relationship between the standard deviation of red blood cell distribution width (RDW-SD), neutrophil/lymphocyte value (NLR), fibrinogen (FIB) and the prognosis of multiple myeloma (MM) patients and their predictive value.Methods:In this study, a retrospective study method was used to select 120 patients with MM who were initially diagnosed in the department of hematology of the Affiliated Hospital of Jining Medical College from January 2017 to October 2019. The follow-up time was 24 months, including 62 patients who survived (survival group) and 58 patients who died (death group). The RDW-SD, NLR and FIB values of the two groups were compared, and the value of the three indicators in predicting the follow-up outcome of MM patients was analyzed using the receiver operating characteristic (ROC) curve. Logistic regression model was used to analyze the related factors affecting the prognosis of MM patients.Results:Among 120 newly treated MM patients, the RDW-SD, NLR and FIB of the survival group were significantly lower than those of the death group (all P<0.05); The sensitivity, specificity and area under ROC curve (AUC) of RDW-SD+ NLR+ FIB in predicting adverse outcomes of MM patients were 88.96%, 84.50% and 0.919 respectively. Logistic multivariate regression analysis showed that ≥60 years old, International Staging System (ISS) Ⅲ, β2-microglobulin (β2-MG)≥3 500 ng/ml, increased RDW-SD, NLR, and FIB will increase the risk of poor prognosis in MM patients (all P<0.05). Conclusions:The RDW-SD, NLR and FIB have a close relationship with the poor prognosis of newly treated MM patients, and the combined application has certain value in predicting the prognosis of patients.
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Objective:To investigate the relationship between white blood cells, neutrophil-lymphocyte ratio(NLR), platelet-lymphocyte ratio(PLR) and monocyte-lymphocyte ratio(MLR) with patients suffering from first episode depression.Methods:This retrospective study was conducted among inpatients of Hebei General Hospital from January 2021 to December 2021.Ultimately, 193 patients with first-episode depression were enrolled.According to the score of Hamilton depression scale-24 (HAMD-24), the patients were divided into mild-moderate depression group(20≤HAMD-24<35 score, n=98) and severe depression group (HAMD-24 score ≥35, n=95). White blood cells and the counts of each cell subtype were detected and the NLR, MLR and PLR were calculated.SPSS 25.0 statistical software was used to analyze the data.Mann-Whitney U test was used to compare differences in the two groups and Binary Logistic regression analyses were performed to recognize the predictive factors of the severity of first episode depression. Results:(1) The white blood cells and NLR in the severe depression group were significantly higher than those in the mild-moderate depression group (white blood cells: 5.77(2.05)×10 9/L vs 5.11(1.31)×10 9/L; NLR: 1.86 (1.04) vs 1.57(0.55), P<0.05). There were no significant differences in PLR and MLR between the two groups ( P>0.05). (2)Multiple regression analysis of NLR, white blood cells and HAMD-24 score showed that there were significant differences in the effect of different white blood cells and NLR levels on HAMD-24 score( B=1.398, P=0.003; B=2.624, P=0.001). (3)Binary Logistic regression revealed that white blood cell count and NLR were risk factors for the severity of depression patients( OR were 1.612 and 2.336, respectively, P<0.05). Conclusion:The results suggest that white blood cells and NLR may be relate with the severity of first episode depression.
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ObjectiveThe aim of this study is to investigate change of platelet count in red blood cell （RBC） units at different storage periods and explore the efficiency of platelet removal by leukocyte filter. MethodsA total of 58 RBC units were divided into four groups according to different storage periods： 1 week Group （16）， 2 weeks Group （16）， 3 weeks Group （14） and 4 weeks Group （12）. RBC units in the four groups were filtered through leukocyte filter. The RBC samples before and after filtration were obtained. The platelet count was detected by automatic blood cell counter and the efficiency of platelet removal was calculated. RBC samples before filtration were made into blood cell smears. The blood cell smears were dyed with Wright-Giemsa stain， and the morphology of platelets was observed through a microscope. ResultsThe platelet count in RBC units stored for 1， 2， 3 and 4 weeks was （286.5±62.34）×109/L， （238.0±57.37）×109/L， （193.6±56.21）×109/L and （167.8±24.76）×109/L， respectively. Platelet count in blood stored for 3 weeks （P<0.01） and 4 weeks （P <0.000 1） were significantly lower than those stored for 1 weeks. When observed in the blood smears of RBC units at different storage periods， platelets with normal morphology were distributed in clump and scattered style. The platelet removal rates of the four groups were （80.13±9.06） %， （76.41±10.13） %， （77.78±9.30） % and （70.63±9.39） %， respectively， with no significant difference （P >0.05）. ConclusionsPlatelet count in RBC units decreases gradually as the storage period increases， but most platelets still remain in RBC units of late storage periods （3 weeks and 4 weeks）. The leukocyte filter is able to remove most of the platelets， and the removal efficiency is similar among the groups.
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Objective To study the motion and deformation of red blood cells ( RBCs) with different mechanical properties in capillaries,and make analysis on the associated hemorheological parameters. Methods The RBC was modeled as a hyper elastic membrane using Skalak model. The fluid was solved using a two-order difference scheme with the membrane mechanics treated by the immersed method. The pathological viscosity ratio λ= 5 was considered. Results The steady deformation of RBCs with different membrane stiffness in the capillary was obtained. With membrane stiffness increasing, the cell transformed from axisymmetric shapes to non-axisymmetric shapes. With capillary number increasing, the deformability of RBCs weakened and the flow resistance increased. Conclusions With stiffening of cell membrane, the non-axisymmetric cell shape appears and the flow resistance increases. Therefore, in diseases involved stiffening RBCs, the stiffened RBCs can cause the blockage of capillaries and hypoxia in surrounding tissues.
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Erythrocytes-camouflaged nanoparticles is an in vivo delivery system that uses erythrocytes or erythrocyte membrane nano vesicles as carriers for drugs, enzymes, peptides and antigens. This system has the advantages of good biocompatibility, long circulation cycle and efficient targeting. This review summarizes the type of carriers, their development history, the application of delivery strategies as well as their limitations and future challenges. Lastly, future directions and key issues in the development of this system are discussed.
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Pharmaceutical Preparations , Drug Delivery Systems , Vaccines , Erythrocytes , NanoparticlesABSTRACT
AIM: To explore the predictive value of red blood cell distribution width (RDW) in early poor neurologic improvement after intravenous thrombolysis in acute ischemic stroke (AIS). METHODS: A total of 102 patients with acute ischemic stroke who received intravenous thromblysis with alteplase within 4.5 hours of onset were analyzed retrospectively. RDW level was measured before thrombolysis. According to the percentage change in NIHSS at 24 hours, the patients were divided into two groups: good neurological improvement (≥ 30%) group (n=53) and poor neurological improvement (<30%) group (n=49). The univariate and multivariate Logistic regression analysis were used to investigate whether RDW level is an independent factor affecting patients' neurological improvement. The receiver operating characteristic (ROC) curve was used to analyze the cut-off value of RDW to predict poor early neurological improvement after thrombolysis. RESULTS: Compared with the good neurological improvement group, higher proportion of atrial fibrillation (24.5% vs. 9.4%, P= 0.042), diabetes mellitus (57.1% vs. 30.2%, P= 0.006), hemorrhagic transformation (10.2% vs. 0%, P=0.023) in the poor neurological improvement group. The level of RDW in poor neurological improvement group was significantly higher than that in good neurological improved group(14.09±0.77) vs. (13.31±0.63), P=0.000. Logistic regression analysis showed that elevated RDW (OR=4.614, 95%CI: 2.263-9.408, P=0.000) and history of diabetes mellitus (OR=2.606, 95%CI: 1.034-6.573, P=0.042) were independently associated with early poor neurological improvement. The ROC curve analysis showed that the optimal cut-off value of RDW to predict poor early neurological improvement after thrombolysis was 13.56% (AUC=0.782, 95%CI: 0.690-0.874; sensitivity 76%; specificity 74%). CONCLUSION: Elevated RDW is of a certain value in predicting the poor early neurological improvement of AIS patients after thrombolysis.
ABSTRACT
{L-End}Objective To study the changes of complete blood cell count parameters and its influencing factors in patients with occupational silicosis (hereinafter referred to as "silicosis"). {L-End}Methods A total of 354 silicosis patients were selected as the research subjects using judgment sampling method. The patients were divided into stage Ⅰ, stage Ⅱ and stage Ⅲ groups according to the stage of silicosis. Based on the course of the disease, they were divided into groups of ≤3, >3-≤6, >6-≤9 and >9-≤12 years. The peripheral blood of the patients was collected for complete blood cell count analysis, and the influencing factors of complete blood cell count were analyzed by multiple linear regression model. {L-End}Results The levels of hemoglobin and the average red blood cell hemoglobin in patients with silicosis at stage Ⅱ and Ⅲ groups were lower than those at stageⅠgroup (all P<0.05). The percentage and counts of neutrophils increased in patients at stage Ⅲ group (all P<0.05), while the percentage and counts of lymphocytes decreased (all P<0.05) compared with those in stage Ⅰand Ⅱ groups. The percentage of eosinophils in patients at stage Ⅲ was lower than those at stage Ⅰ group (P<0.05). The red blood cell count in the courses of silicosis >6-9 years group was lower (P<0.05), and the percentage of neutrophils was higher, while the percentage of lymphocyte was lower in the courses of silicosis >6-9 years group and >9-12 years group (all P<0.05) compared with the courses of silicosis ≤3 years and >3-6 years groups. The mean corpuscular volume of the courses of silicosis >6-9 years group and the neutrophil count of the courses of silicosis >9-12 years group increased (all P<0.05) compared with the courses of silicosis ≤3 years group. The results of multiple linear regression analysis showed that the silicosis stage and course of silicosis were influencing factors of erythrocyte count (all P<0.05), gender and age of first dust-exposure were influencing factors of hemoglobin level (all P<0.05), while age at diagnosis, duration of dust-exposure, age of first dust-exposure and comorbidities were influencing factors of neutrophil count (all P<0.05). Gender, comorbidities, smoking and silicosis stage were influencing factors of lymphocyte count (all P<0.05). {L-End}Conclusion There are differences in complete blood cell count parameters in patients with silicosis at different stages and courses of the disease. Silicosis stage, course of disease, gender, age, smoking,comorbidities, duration of dust-exposure and age of first dust-exposure were influencing factors affecting complete blood cell count in silicosis patients.