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Background: Automated hematology analyzers produce scattergrams that can be used as screening tool for various hematological conditions and efficiently shorten turnaround times. Aim was to study scattergram patterns of various while blood cell disorders and assess their efficacy compared to a peripheral blood smear for diagnosis of various disorders. Methods: Scattergram findings generated by UniCel� DxH 800 automated hematology analyzer, a 5-part differential analyzer. The graphic displays have been compiled over a period of 3 months from blood samples received for CBC. Samples that the counter flagged as abnormal for white blood cell were chosen. Based on the scatterplots, a preliminary diagnosis was formed. It was compared with the peripheral blood smear (PBS) findings which were taken as the gold standard. Results: The scatterplots showed unique patterns for various disorders on the basis of location, shape, size, density of the cells and their clustering. The scattergram analyser showed 90% sensitivity and 88% specificity for diagnosing hematological disorders. A 97-100% accuracy rate was reported showing excellent correlation between PBS result and WBC parameter result in cell counter analyzers. Conclusions: Not all cases of haematological malignancy exhibit cytopenias or cytosis at initial presentation. Therefore, these scatter plots offer helpful information that prompts a hematopathologist to suspiciously screen the peripheral smear in cases with normal counts. Scattergram analysis suspects a diagnosis earlier than peripheral smear examination. Given their strong correlation with a variety of WBC disorders and confirmed by PBS, WBC scatterplots can be used as a screening tool.
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Objective To evaluate the performance of two molecular point-of-care testing(POCT)prod-ucts in the diagnosis of influenza A virus(Flu A)and influenza B virus(Flu B)of clinical samples,and pre-liminarily evaluate the clinical diagnostic value of the changes of infection-related indicators in peripheral blood.Methods A total of 491 oropharyngeal swabs from patients with influenza-like symptoms who were treated in the hospital were recruited into this study from November 1,2019 to June 30,2023.These swabs were collected using reverse transcription real-time quantitative fluorescent polymerase chain reaction(RT-qPCR),and two POCT molecular products,XpertTM Xpress Flu/RSV and EasyNAT? Flu Assay,respectively.The diagnostic performance of two POCT molecular products was analyzed using RT-qPCR reaction as a standard.According to the results of RT-qPCR method,the subjects were divided into Flu A positive group,Flu B positive group and negative group(both Flu A and Flu B were negative).The levels of indicators in pe-ripheral blood of the three groups were compared to evaluate the value of these indicators in the clinical diag-nosis of Flu A and Flu B.Results Among the 491 patient specimens,the XpertTM Xpress Flu/RSV assay showed the sensitivity for Flu A was 96.88%,and the specificity was 99.75%,and the sensitivity for Flu B was 100.00%,and the specificity was 100.00%.EasyNAT? Flu Assay assay showed the sensitivity for Flu A was 94.79%,and the specificity was 96.81%,and the sensitivity for Flu B was 100.00%,and the specificity was 100.00%.And two POCT molecular methods performed well consistency(Kappa value was 0.974).There was no significant difference in the levels of C-reactive protein and serum amyloid A among the negative group,Flu A positive group,and Flu B positive group(P>0.05).But the levels of white blood cell count in the negative group were higher than those in the Flu A positive group and Flu B positive group(P<0.01).Conclusion In this paper,two typical molecular POCT products are studied.Their sensitivity and specificity are highly consistent with the results of RT-qPCR.Molecular POCT products have the advantages of flexibil-ity and rapidity,which are of great value for the improvement of clinical diagnosis and treatment.Molecular detection combined with peripheral blood infection related indicators is helpful for the early diagnosis of influ-enza virus infectious diseases.
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Objective To explore the relationship between inflammatory indexes,fasting plasma glucose(FPG),blood lipid in early pregnancy(6 to 13W+6D)and gestational diabetes mellitus(GDM).Methods Ninety-eight pregnant women in early pregnancy who underwent prenatal examinations at the First Affiliated Hospital of Xinxiang Medical University from No-vember 2020 to October 2021 were selected as the research subjects.These pregnant women were divided into the GDM group(n=35)and normal glucose tolerance(NGT)group(n=63)according to the oral glucose tolerance test results in the second trimester of pregnancy(24-28W).All subjects kept fasting for at least 8 hours at 6 to 13W+6D of pregnancy,and the blood was collected from the median cubital vein on the morning of the second day,the white blood cell(WBC)count,neutrophil count(NC),lymphocyte count(LC),monocyte count(MC),FPG,and serum total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-C)and low-density lipoprotein cholesterol(LDL-C)levels were measured.The differences in various indicators of pregnant women between the GDM group and NGT group were compared.The joint predictive factors for GDM was obtained by multivariable logistic regression model,and the independent risk factors of GDM were analyzed,and the efficiency of each risk factor in predicting the occurrence of GDM was evaluated by the receiver operating characteristic(ROC)curve.Results The FPG,WBC,LC,TC,TG and LDL-C levels of pregnant women in the GDM group were significantly higher than those in the NGT group in early pregnancy(P<0.05);there was no significant difference in the NC,MC and HDL-C levels of pregnant women between the two groups(P>0.05).Logistic regression model analysis results showed that the increase of FPG,WBC,TC and TG were independent risk factors affecting the occurrence of GDM(P<0.05).Taking FPG=4.80 mmol·L-1,WBC=9.35 × 109 L-1,TC=4.05 mmol·L-1 and TG=1.61 mmol·L-1 as cut-off values,the area under the curve(AUC)of above indexes in predicting GDM were 0.779,0.721,0.685 and 0.762,respectively;the sensitivity was 0.886,0.514,0.857 and 0.543,respectively;the specificity was 0.587,0.857,0.524 and 0.873,respectively.The AUC of the combined prediction of FPG,WBC,TC and TG for GDM was 0.876,with a sensitivity of 0.857 and a specificity of 0.810.The AUC of the combined prediction of FPG,WBC,TC and TG for GDM was significantly higher than that of FPG,WBC,TC and TG in early pregnancy alone for GDM.Conclusion Elevated levels of FPG,WBC,TC and TG in early pregnancy(6 to 13W+6D)are independent risk factors for GDM,and they can be used as clinical indicators for the early prediction of GDM.The combination of the four indicators has better predictive value for GDM.
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@#Objective: To evaluate the effect of rosmarinic acid on tracheal smooth muscle responsiveness and lung pathological changes in ovalbumin-sensitized rats. Methods: Rats were randomly divided into six groups: the control group, the asthmatic group, and the asthmatic groups treated with dexamethasone (1 mg/kg; oral gavage) or three doses of rosmarinic acid (0.5, 1, and 2 mg/kg; oral gavage). For induction of asthma, rats received intraperitoneal injections and inhalation of ovalbumin. After 21 days, bronchoalveolar lavage fluid and lung samples were collected for histopathological analyses. Moreover, total and differential white blood cell counts were determined. Results: The rosmarinic acid-treated group had significantly lower tracheal smooth muscle responses to methacholine than the asthmatic group. In addition, rosmarinic acid reduced white blood cell count and the percentages of eosinophils, monocytes, and neutrophils while increasing the percentage of lymphocytes. Ovalbumin-induced lung pathological changes were significantly improved by treatment with rosmarinic acid. Conclusions: Rosmarinic acid improves tracheal smooth muscle responsiveness and lung pathological changes in ovalbumin-sensitized rats.
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OBJECTIVE To study the inhibitory effect of ethyl acetate extract from Mimosa pudica root (ethyl acetate extract for short) on acute myeloid leukemia in mice. METHODS Different concentrations of ethyl acetate extract (0.062 5, 0.125, 0.25, 0.5 mg/mL) were used to treat acute myelomonocytic leukemia cell lines WEHI-3, and their effects on cell viability were investigated. Fifty BALB/C mice were randomly divided into blank control group, model group, positive control group (5- fluorouracil, 13 mg/kg), and ethyl acetate extract low-dose and high-dose groups (50, 200 mg/kg), with 10 mice in each group. Except for the blank control group, the leukemia model was constructed by intraperitoneal injection of WEHI-3 cells in other groups, and from the second day of modeling, corresponding drugs/water were orally administered once a day for 14 consecutive days. After the last administration, the liver and spleen indexes of mice were measured, and liver tissue pathological morphology observation, hematological analysis, and white blood cell differentiation detection were performed; the levels of cytokine [interleukin-2 (IL-2), IL-3, interferon-γ (IFN-γ), tumor necrosis factor-α (TNF-α)] in serum were determined; the levels of leukocyte surface markers [cluster of differentiation 3 (CD3), CD19, CD11b, CD107b (Mac-3)] in whole blood were all detected. RESULTS After treated with 0.062 5-0.5 mg/mL ethyl acetate, the inhibition rate of cell proliferation were increased significantly (P<0.05). After intervention with high-dose ethyl acetate, the liver and spleen index, serum level of TNF-α, the levels of CD11b and Mac-3 in blood were significantly reduced (P<0.05), while serum levels of IL-2, IL-3 and IFN-γ, and the levels of CD3 and CD19 in blood were increased significantly (P<0.05). Occasional lymphocyte infiltration was present in the liver parenchyma, with almost no infiltration of inflammatory cells; hematology improvement and weakened white blood cell differentiation were found. CONCLUSIONS The ethyl acetate extract of M. pudica root can inhibit the proliferation of WEHI-cells, and improve symptoms in acute myeloid leukemia mice, the mechanism of which may be associated with enhancing the immune function.
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OBJECTIVE To study the inhibitory effect of ethyl acetate extract from Mimosa pudica root (ethyl acetate extract for short) on acute myeloid leukemia in mice. METHODS Different concentrations of ethyl acetate extract (0.062 5, 0.125, 0.25, 0.5 mg/mL) were used to treat acute myelomonocytic leukemia cell lines WEHI-3, and their effects on cell viability were investigated. Fifty BALB/C mice were randomly divided into blank control group, model group, positive control group (5- fluorouracil, 13 mg/kg), and ethyl acetate extract low-dose and high-dose groups (50, 200 mg/kg), with 10 mice in each group. Except for the blank control group, the leukemia model was constructed by intraperitoneal injection of WEHI-3 cells in other groups, and from the second day of modeling, corresponding drugs/water were orally administered once a day for 14 consecutive days. After the last administration, the liver and spleen indexes of mice were measured, and liver tissue pathological morphology observation, hematological analysis, and white blood cell differentiation detection were performed; the levels of cytokine [interleukin-2 (IL-2), IL-3, interferon-γ (IFN-γ), tumor necrosis factor-α (TNF-α)] in serum were determined; the levels of leukocyte surface markers [cluster of differentiation 3 (CD3), CD19, CD11b, CD107b (Mac-3)] in whole blood were all detected. RESULTS After treated with 0.062 5-0.5 mg/mL ethyl acetate, the inhibition rate of cell proliferation were increased significantly (P<0.05). After intervention with high-dose ethyl acetate, the liver and spleen index, serum level of TNF-α, the levels of CD11b and Mac-3 in blood were significantly reduced (P<0.05), while serum levels of IL-2, IL-3 and IFN-γ, and the levels of CD3 and CD19 in blood were increased significantly (P<0.05). Occasional lymphocyte infiltration was present in the liver parenchyma, with almost no infiltration of inflammatory cells; hematology improvement and weakened white blood cell differentiation were found. CONCLUSIONS The ethyl acetate extract of M. pudica root can inhibit the proliferation of WEHI-cells, and improve symptoms in acute myeloid leukemia mice, the mechanism of which may be associated with enhancing the immune function.
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ObjectiveTo investigate the effects of acupuncture combined with Du-Moxibustion (ADM) on peripheral blood cell count and levels of immune factors in patients with occupational chronic benzene poisoning. Methods A total of 70 patients with occupational chronic benzene poisoning (leukopenia and neutropenia) were selected as the research subjects by judgement sampling method. They were randomly divided into a control group and an ADM group using a random number table method, with 35 cases in each group. Patients in the control group were treated with conventional Western medicine such as leukocyte boosting and symptomatic treatment. While patients in the ADM group were treated with ADM treatment in addition to treatments of the control group, once per week for five consecutive weeks. Peripheral blood samples of patients were collected before and after treatment from both groups, to detect cell counts and serum levels of immune factors. Results The white blood cell count, red blood cell count, absolute lymphocyte count, absolute neutrophil count, platelet count, and levels of hemoglobin, immunoglobulins (Ig) A, IgM, IgG, complement C3 and complement C4 of patients in both groups improved after treatment compared with those before treatment (all P<0.05). The white blood cell count, levels of IgA, IgM, IgG, complement C3 and complement C4 of patients in the ADM group were higher than those in the control group after treatment (all P<0.05). Conclusion ADM treatment can increase peripheral blood white blood cells and serum levels of immune factor in patients with occupational chronic benzene poisoning (leukopenia, neutropenia), which helps improve patient recovery and can be promoted clinically.
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Objective To investigate clinical characteristics and risk factors of different stages of urinary tract infection after kidney transplantation. Methods Clinical data of 209 kidney transplant recipients were retrospectively analyzed. According to time points of postoperative follow-up, all recipients were divided into 3 stages: within 1 month post-kidney transplantation, 1-6 months post-kidney transplantation, and 7-12 months post-kidney transplantation. The incidence of urinary tract infection, urine culture results of recipients with urinary tract infection and drug resistance characteristics of common pathogens during different stages after kidney transplantation were analyzed. The strains of patients with recurrent urinary tract infection were identified. The risk factors of urinary tract infection and the effect of urinary tract infection on renal allograft function were analyzed. Results The urinary tract infection rate was 90.0% in the first stage, 49.3% in the second stage and 22.5% in the third stage. The urinary tract infection rates of male recipients undergoing living-related organ donation in the second and third stages were lower than those of female recipients (both P<0.05). Urine culture test yielded positive results in 60 cases, and 84 strains of pathogenic bacteria were detected, mainly Gram-negative bacteria, among which Klebsiella pneumoniae accounted for the highest proportion. Sixty-six recipients had recurrent urinary tract infection, and the detected pathogens included Klebsiella pneumoniae, Escherichia coli and Candida glabrata, etc. Univariate analysis showed that postoperative use of antithymocyte globulin was the risk factor for urinary tract infection in the first stage. Preoperative urinary tract infection and donor type were the risk factors for urinary tract infection in the second stage. Gender and age of the recipients were the risk factors for urinary tract infection in the third stage. Multivariate analysis revealed that postoperative use of antithymocyte globulin was the risk factor for urinary tract infection in the first stage. Gender and age of the recipients were the risk factors for urinary tract infection in the third stage (all P<0.05). In the third stage, 65 cases were cured and 38 cases were not cured. In the treated recipients, the serum creatinine level and white blood cell count were decreased after corresponding treatment than those before treatment (both P<0.05). Conclusions Gram-negative bacteria are the main pathogens of urinary tract infection in kidney transplant recipients, and drug resistance is relatively high. Postoperative use of antithymocyte globulin, female and old age are the risk factors for urinary tract infection in kidney transplant recipients.
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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 investigate the risk factors for infection after cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy (CRS+ HIPEC), and observe the infection in patients who underwent this combined procedure, to explore the predictive value of postoperative white blood cell count (WBC), C-reactive protein (CRP), procalcitonin (PCT) and systemic immune inflammation index (SII) for postoperative infection.Methods:Clinical data of 106 patients who underwent CRS + HIPEC in the Fifth Medical Clinical College of Shanxi Medical University between July 2019 and July 2022 were retrospectively analyzed. These patients, including 61 males and 45 females, (58.93±10.65) years old, were divided into the infection group ( n=19) and the non-infection group ( n=87) according to the presence of postoperative infection. Risk factors were analyzed for patients in the infection group, and postoperative WBC, CRP, PCT and SII were determined for patients in both groups to determine their prognostic values. Risk factors for postoperative secondary infection in patients with CRS+ HIPEC were analyzed using univariate and multivariate logistic regression. Predictive values of WBC, PCT, CRP and SII for postoperative infection were evaluated by receiver operating characteristic (ROC) curve, and the optimal cutoff values of these variables were determined by Youden index and evaluated using sensitivity, specificity, positive predictive value, and negative predictive value as evaluation indexes. Nomogram prediction model was constructed using R software and samples were included in this model to calculate the total score of these patients. ROC curve analysis and calibration curve verification were then performed. Results:Univariate analysis showed significant differences in age, body mass index (BMI), postoperative fistulization, preoperative serum albumin, combined multiple organ resection, and operation duration between the infection and non-infection groups ( P<0.05). WBC, CRP, PCT and SII were compared between the infection group and the non-infection group on were compared on postoperative days 1, 3, 5 and 7, and the ROC curves were plotted accordingly. The area under the ROC curve (AUC) of the WBC, CRP, PCT and SII on postoperative Days 1, 3, 5 and 7, and their 95% CI, sensitivities and specificities were compared. It was found that the predictive values of the 5th postoperative day WBC and PCT, and the 7th postoperative day CRP were superior to those determined on other postoperative days, and SII was not significant in predicting postoperative secondary infection in patients who underwent CRS+ HIPEC. The cut-off values of the 5th postoperative day WBC and PCT and the 7th postoperative day CRP were 7.7×10 9/L, 2.068 ng/mL and 76.43 mg/L, respectively, and AUCs and their 95% CI were 0.754 and (0.625, 0.883), 0.830 and (0.717, 0.943), 0.715 and (0.584, 0.846), respectively, with sensitivities of 78.9%, 68.4% and 63.2%, respectively, and specificities of 70.1%, 96.5% and 75.9%, respectively. The predictive values of PCT on postoperative days 1, 3, 5 and 7 were superior to those of WBC, CRP and SII determined on each corresponding day. The cut-off values of the 5th postoperative day WBC and PCT and the 7th postoperative day CRP were used as the classification thresholds, and the results after classification as well as significant variables in univariate analysis, including age, BMI≥25 kg/m 2, postoperative fistulization, preoperative serum albumin≥35 g/L, number of organs resected and operation duration were included in multivariate logistic regression analysis. The results showed that BMI≥25 kg/m 2, combined multiple organ resection, WBC and PCT on the 5th postoperative day and, CRP on the 7th postoperative day were independent risk factors for secondary infection ( P<0.05). A Nomogram prediction model was then constructed. Points indicated the scores for each variable, and the corresponding scores were 70 when BMI was ≥25 kg/m 2, 80 when multiple organ resection was combined, 100 when the 5th postoperative day WBC was ≥7.7×10 9/L, and 79 when the 7th postoperative day CRP was ≥76.3. The sum of the scores for all variable was calculated and used as total score for the patient. The total score obtained from the Nomogram prediction model was used for ROC curve analysis and calibration curve verification. The ROC curve analysis showed that the AUC was 0.966, with a sensitivity of 0.895 and specificity of 0.966, indicating an excellent discriminative power of the model. The significance level of the calibration curve was 0.05, and the absolute error between the predicted and actual incidences of postoperative infection after CRS+ HIPEC was 0.038. Conclusions:The incidence of secondary infection after CRS+ HIPEC is related to factors such as BMI and combined multiple organ resection. Inflammation markers in peripheral blood, including PCT, CRP and WBC, can serve as predictors for postoperative secondary infection in patients with CRS+ HIPEC, and the fifth postoperative day WBC and PCT and the seventh postoperative day CRP among others have the highest diagnostic values for postoperative infections. In addition, the predictive value of combined diagnosis is superior to that of individual testing.
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Objective To explore the correlation between CAE and the ratio of white blood cell count to mean platelet volume ratio(WMR)in elderly patients.Methods A retrospective analysis was conducted on 238 patients who underwent coronary angiography(CAG)between January 2018 and January 2023 in Department of Cardiology of Tianjin First Central Hospital.According to the results of CAG and patient's age,they were divided into in elderly CAE group(age ≥65 years,100 cases)and non-elderly CAE group(age<65 years,138 cases).Another 127 age-matched elderly individuals with normal coronary artery(age ≥65 years)served as normal con-trol group.The WMR levels were measured in all participants.Results The elderly CAE group had significantly higher WMR than the non-elderly CAE group and the normal control group(745.50±237.46 vs 672.43±194.52 and 610.11±144.22,P=0.000).Spearman correlation analy-sis showed that WMR was positively correlated with platelet count,neutrophil count and high-sensitivity C-reactive protein level(r=0.380,P=0.000;r=0.819,P=0.000;r=0.283,P=0.000).Multiple logistic analysis indicated that readmission,male,TC and WMR were significantly associated with CAE in elderly patients.ROC curve analysis revealed that the value of WMR to distinguish the presence of CAE in elderly patients was 0.604(95%CI:0.531-0.677,P=0.006).Conclusion Elevated WMR might be a cost-effective monitor in elderly CAE 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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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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{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.
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ABSTRACT Purpose: To determine the predictive value of maternal White Blood Cells (WBC), neutrophils, and C-Reactive Protein (CRP) for diagnosing Histological Chorioamnionitis (HCA) among women with Preterm Premature Rupture of Membranes (PPROM) who underwent cervical cerclage. Methods: A retrospective cross-sectional study was conducted among women with singleton pregnancy and PPROM, who underwent cervical cerclage during 2018-2020. Results: A total of 55 eligible women were included in the final analysis, including 36 (61.02%) cases with HCA and 19 (38.98%) without HCA. Women with HCA had higher WBC count (12.31 ± 2.80) × 109/L and neutrophil count (9.67 ± 2.90)×109/L than those without HCA (10.35 ± 2.53) × 109/L and 7.82 ± 2.82 × 109/L, respectively) (both p < 0.05). The cut-off value of WBC count at 10.15×109/L was found to be the most effective in identifying HCA, with an Area Under Curve (AUC) of 0.707 (95% CI: 0.56-0.86; p = 0.012), sensitivity of 86.11%, specificity of 57.90%, Positive Predictive Value (PPV) of 79.49%, Negative Predictive Value (NPV) of 68.75%, and Youden index of 0.44. The combination of WBC + neutrophil had a slightly higher (AUC = 0.711, 95% CI: 0.57-0.86; p = 0.011), specificity (68.42%), and PPV (81.25%), but lower sensitivity (72.22%), than the WBC count alone. A cut-off value of neutrophil at 7.46 × 109/L was effective in identifying HCA, with an AUC of 0.689 (95% CI: 0.53-0.84; p = 0.022). Discussion: Combination use of WBC+neutrophil was found to be the most accurate predictor of HCA among women with PPROM after surgery of cervical cerclage.
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Objective@#Most acute promyelocytic leukemia cases are characterized by the PML-RARa fusion oncogene and low white cell counts in peripheral blood.@*Methods@#Based on the frequent overexpression of miR-125-family miRNAs in acute promyelocytic leukemia, we examined the consequence of this phenomenon by using an inducible mouse model overexpressing human miR-125b.@*Results@#MiR-125b expression significantly accelerates PML-RARa-induced leukemogenesis, with the resultant induced leukemia being partially dependent on continued miR-125b overexpression. Interestingly, miR-125b expression led to low peripheral white cell counts to bone marrow blast percentage ratio, confirming the clinical observation in acute promyelocytic leukemia patients.@*Conclusion@#This study suggests that dysregulated miR-125b expression is actively involved in disease progression and pathophysiology of acute promyelocytic leukemia, indicating that targeting miR-125b may represent a new therapeutic option for acute promyelocytic leukemia.
Subject(s)
Animals , Humans , Mice , Leukemia, Promyelocytic, Acute/metabolism , MicroRNAs/genetics , Oncogene Proteins, Fusion/therapeutic useABSTRACT
The count and recognition of white blood cells in blood smear images play an important role in the diagnosis of blood diseases including leukemia. Traditional manual test results are easily disturbed by many factors. It is necessary to develop an automatic leukocyte analysis system to provide doctors with auxiliary diagnosis, and blood leukocyte segmentation is the basis of automatic analysis. In this paper, we improved the U-Net model and proposed a segmentation algorithm of leukocyte image based on dual path and atrous spatial pyramid pooling. Firstly, the dual path network was introduced into the feature encoder to extract multi-scale leukocyte features, and the atrous spatial pyramid pooling was used to enhance the feature extraction ability of the network. Then the feature decoder composed of convolution and deconvolution was used to restore the segmented target to the original image size to realize the pixel level segmentation of blood leukocytes. Finally, qualitative and quantitative experiments were carried out on three leukocyte data sets to verify the effectiveness of the algorithm. The results showed that compared with other representative algorithms, the proposed blood leukocyte segmentation algorithm had better segmentation results, and the mIoU value could reach more than 0.97. It is hoped that the method could be conducive to the automatic auxiliary diagnosis of blood diseases in the future.
Subject(s)
Algorithms , LeukocytesABSTRACT
Objective:To investigate the clinical situation of 201 emergency adult sudden death patients, and analyze the influence of white blood cell count and arterial blood lactate level on prognosis.Methods:The clinical data of 201 patients diagnosed with sudden death in the emergency department of Medical College of Cangzhou people's Hospital from January 2017 to January 2021 were retrospectively analyzed. The gender, age, disease composition and etiology of the patients were statistically analyzed. The independent sample t-test was used to compare the measurement data with normal distribution, the χ 2 test or Fisher exact probability method was used to compare the counting data between groups, and the logistic regression model was used to screen the risk factors of emergency death, and the impact of white blood cell count and arterial blood lactate level on the prognosis was analyzed. Results:After active rescue, 11.44% (23/201) of the patients were successfully rescued, and 88.56% (178/201) of the patients were ineffective; ≥46-≤65 years old was the age group with high incidence of sudden death (55.22%(111/201)). The proportion of male (43.28% (87/201), 23.38% (42/201)) in the age group of ≥46-≤65 years old and the age group over 65 years old were higher than that of female (11.94% (24/201), 14.43% (29/201)), with a statistically significant difference (χ 2=4.801, 9.209; P=0.028, 0.002). In the past history of sudden death patients, the proportion of cardiovascular disease (53.23% (107/201)) was the highest; the proportion of patients may have inducements before sudden death was 74.13% (149/201), the proportion of patients have premonitory symptoms before sudden death was 67.66% (136/201), and sudden cardiac death was the first cause. Logistic regression analysis showed that white blood cell count ( OR=4.442,95% CI: 1.898-10.395), arterial blood lactic acid concentration ( OR=4.272,95% CI: 2.024-9.016), and albumin concentration ( OR=2.657,95% CI: 1.302-5.422) were independent risk factors affecting emergency sudden death patients ( P values were 0.001, <0.001, 0.007, respectively). Conclusions:There are some differences in gender, age and past history of adult sudden death patients. Most of them have premonitory symptoms and inducements. Sudden cardiac death is the primary cause. The increases of white blood cell count and lactic acid level, the decrease of albumin level are the risk factors of sudden death.
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@#Objective This study aims to explore the correlation between white blood cell count (WBC),absolute neutrophil count (ANC),relative neutrophil count (RNC) and neurological impairment,poor prognosis at discharge and 90 days after onset.Methods This study was a retrospective study,including patients aged 18 to 45 years old with first ischemic stroke within 72 hours.NIHSS score at discharge,mRS score at discharge and 90 days were used as outcome.Multivariate logistic regression was used to analyze the relationship between WBC quartile,ANC,RNC and neurological deficit (NIHSS score>4) and poor prognosis (mRS score 2~5).Results WBC>7.82×10 9/L was independently associated with moderate and severe neurological deficit at discharge and poor prognosis at 90 days.The ANC was only associated with poor prognosis at 90 days,independently.The RNC was an independent risk factor for moderate and severe neurological impairment at discharge,poor prognosis at discharge and 90 days.Conclusion WBC>7.82×10-9/L is an independent risk factor for moderate and severe neurological impairment at discharge and poor prognosis at 90 days in young patients with stroke.The increase of RNC,which is independently related to moderate and severe neurological impairment and poor prognosis,is more indicative than ANC for poor prognosis in young patients with stroke.