Automated White Blood Cell Disease Recognition Using Lightweight Deep Learning

White blood cells(WBC)are immune system cells,which is why they are also known as immune cells.They protect the human body from a variety of dangerous diseases and outside invaders.The majority of WBCs come from red bone marrow,although some come from other important organs in the body.Because manual diagnosis of blood disorders is difficult,it is necessary to design a computerized technique.Researchers have introduced various automated strategies in recent years,but they still face several obstacles,such as imbalanced datasets,incorrect feature selection,and incorrect deep model selection.We proposed an automated deep learning approach for classifying white blood disorders in this paper.The data augmentation approach is initially used to increase the size of a dataset.Then,a Darknet-53 pre-trained deep learning model is used and finetuned according to the nature of the chosen dataset.On the fine-tuned model,transfer learning is used,and features engineering is done on the global average pooling layer.The retrieved characteristics are subsequently improved with a specified number of iterations using a hybrid reformed binary grey wolf optimization technique.Following that,machine learning classifiers are used to classify the selected best features for final classification.The experiment was carried out using a dataset of increased blood diseases imaging and resulted in an improved accuracy of over 99%.

White Blood Cells Detection Using Spectral Tresholding

The study of the morphology of White Blood Cells (WBCs) further contributes to the clinical diagnosis of blood diseases. In this research paper, we come up with an image segmentation enhancement by combining Fourier Fast Transform on smear blood capture and classical thresholding. The Fast Fourier Transform (FFT) is a very powerful tool in image processing and it was used to segment and extract the WBCs. Our image processing method uses a Fast Fourier Transform combined with filtering and an Inverse Fast Fourier Transform for the extraction and visualization of the high frequency region of the image. In order to remove residual Red Blood Cells acting as noise in the expected result, a final thresholding step is added at the end of the processing. The results presented in this article report the tests performed using our mathematical implementation. Moreover, we were able to detect and differentiate the sub-families of WBCs.

Automated Artificial Intelligence Empowered White Blood Cells Classification Model

White blood cells (WBC) or leukocytes are a vital component ofthe blood which forms the immune system, which is accountable to fightforeign elements. The WBC images can be exposed to different data analysisapproaches which categorize different kinds of WBC. Conventionally, laboratorytests are carried out to determine the kind of WBC which is erroneousand time consuming. Recently, deep learning (DL) models can be employedfor automated investigation of WBC images in short duration. Therefore,this paper introduces an Aquila Optimizer with Transfer Learning basedAutomated White Blood Cells Classification (AOTL-WBCC) technique. Thepresented AOTL-WBCC model executes data normalization and data augmentationprocess (rotation and zooming) at the initial stage. In addition,the residual network (ResNet) approach was used for feature extraction inwhich the initial hyperparameter values of the ResNet model are tuned by theuse of AO algorithm. Finally, Bayesian neural network (BNN) classificationtechnique has been implied for the identification of WBC images into distinctclasses. The experimental validation of the AOTL-WBCC methodology isperformed with the help of Kaggle dataset. The experimental results foundthat the AOTL-WBCC model has outperformed other techniques which arebased on image processing and manual feature engineering approaches underdifferent dimensions.

A Novel Meta-Heuristic Optimization Algorithm in White Blood Cells Classification

Some human diseases are recognized through of each type of White Blood Cell(WBC)count,so detecting and classifying each type is important for human healthcare.The main aim of this paper is to propose a computer-aided WBCs utility analysis tool designed,developed,and evaluated to classify WBCs into five types namely neutrophils,eosinophils,lymphocytes,monocytes,and basophils.Using a computer-artificial model reduces resource and time consumption.Various pre-trained deep learning models have been used to extract features,including AlexNet,Visual Geometry Group(VGG),Residual Network(ResNet),which belong to different taxonomy types of deep learning architectures.Also,Binary Border Collie Optimization(BBCO)is introduced as an updated version of Border Collie Optimization(BCO)for feature reduction based on maximizing classification accuracy.The proposed computer aid diagnosis tool merges transfer deep learning ResNet101,BBCO feature reduction,and Support Vector Machine(SVM)classifier to forma hybridmodelResNet101-BBCO-SVM an accurate and fast model for classifying WBCs.As a result,the ResNet101-BBCO-SVM scores the best accuracy at 99.21%,compared to recent studies in the benchmark.The model showed that the addition of the BBCO algorithm increased the detection accuracy,and at the same time,decreased the classification time consumption.The effectiveness of the ResNet101-BBCO-SVM model has been demonstrated and beaten in reasonable ratios in recent literary studies and end-to-end transfer learning of pre-trained models.

肝硬化并SBP患者外周血SAA、WBC/PLT、CD64及腹水CD64联合检测的意义

目的 分析肝硬化并自发性细菌性腹膜炎(SBP)外周血淀粉样蛋白A(SAA)、白细胞计数(WBC)/血小板(PLT)、白细胞分化抗原64(CD64)及腹水CD64联合检测的意义。方法 2021年1月至2022年12月成都中医药大学附属医院收治的106例肝硬化并腹水患者,根据是否发生SBP分为SBP组49例和非SBP组57例,选取同期50名健康人为对照组。免疫透射比浊法测定外周血SAA,全自动血液分析仪测定WBC、PLT,流式细胞仪测定外周血及腹水CD64。比较3组外周血SAA、WBC/PLT、CD64及腹水CD64,并通过绘制受试者工作特征曲线(ROC)评价外周血SAA、WBC/PLT、CD64及腹水CD64对肝硬化并SBP的诊断效能。结果 SBP组外周血SAA、WBC/PLT、CD64及腹水CD64分别为(82.3±17.2)mg/mL、(0.4±0.2)、(13 126.3±90.1)mol/cell、(14 912.8±101.7)mol/cell,高于非SBP组的(11.2±3.4)mg/mL、(0.1±0.1)、(1083.9±61.4)mol/cell、(936.2±51.1)mol/cell,(P<0.05);SBP组外周血SAA、WBC/PLT、CD64显著高于对照组的(10.6±2.8)mg/mL、(0.1±0.1)、(1063.7±57.5)mol/cell,(P<0.05)。非SBP组与对照组外周血SAA、WBC/PLT、CD64比较差异无统计学意义(P>0.05)。SBP组治疗后外周血SAA、WBC/PLT、CD64及腹水CD64分别为(35.6±6.9)mg/mL、(0.3±0.1)、(3302.4±70.5)mol/cell、(4758.4±78.6)mol/cell,显著低于SBP组治疗前(P<0.05)。ROC曲线分析显示,外周血SAA、WBC/PLT、CD64及腹水CD64联合诊断肝硬化并SBP的敏感度为96.00%,AUC为0.930,均高于单独检测(P<0.05)。结论 肝硬化并SBP患者外周血SAA、WBC/PLT、CD64及腹水CD64异常增高,且联合检测对肝硬化并SBP的早期诊断价值高。

Admission white blood cell count predicts short-term clinical outcomes in patients with uncomplicated Stanford type B acute aortic dissection

sInflammation 被显示了与尖锐大动脉的解剖(AAD ) 相关。现在的学习试图与不复杂的斯坦福类型 B AAD.MethodsFrom 2008 在病人与在里面医院和长期的所有原因死亡在承认上评估白血房间计数(WBCc ) 的协会到 2010，有不复杂的类型 B AAD 的 377 个连续病人的一个总数被注册然后列在后面起来。承认上的临床的数据和 WBCc 是镇定的。主要结束点是在里面医院死亡，长期的所有原因 death.ResultsThe 在里面医院死亡率是 4.2% ，并且长期的所有原因死亡率在 18.9 个月的中部的后续期间是 6.9% 。承认上的 WBCc 被 univariate 考克斯回归分析作为一个连续变量和一个范畴的变量为在里面医院死亡作为一个风险因素识别用一 11.0 敢椠 ? 割掉 ? 潣摬猠敷吗？

CRP、WBC、PCT联合检验在细菌感染性疾病中的诊断价值

目的 分析CRP、WBC、PCT联合检验在细菌感染性疾病中的诊断价值。方法 选择常州市德安医院2022年11月1日至2023年8月31日接收的35例疑似细菌感染性疾病患者为研究对象,作为观察组。观察组实验室检查确诊26例为细菌感染性疾病患者。同期选择26例结果为阴性作为对照组。将其均采取CRP、WBC、PCT单独检测和联合检测。结果 观察组CRP、WBC、PCT检测结果均高于对照组(P<0.05)。观察组CRP、WBC、PCT单独检测阳性率均低于联合检测阳性率(P<0.05)。观察组CRP、WBC、PCT联合检测的诊断特异度、灵敏度、准确度、阳性预测值、阴性预测值均高于单独检测(P均<0.05)。结论CRP、WBC、PCT联合检验在细菌感染性疾病中的诊断效果较佳,能够为细菌感染性疾病治疗提供参考依据。

Usefulness of white blood cell count to mean platelet volume ratio for predicting long-term prognosis after primary percutaneous coronary intervention in patients with acute coronary syndrome

Background and Objective The white blood cell count to mean platelet volume ratio(WMR)has recently been described as a predictor of cardiovascular events in patients who undergo percutaneous coronary intervention(PCI).The aim of this study was to investigate the usefulness of admission WMR in predicting outcomes in patients with acute coronary syndrome(ACS).

Selection of Reference Genes in Equine White Blood Cells for Real Time PCR Normalization Following Extracorporeal Shock Wave Therapy

Selection of proper reference genes (RGs) is an essential step needed for accurate normalization of results from genomic studies. Expression of RGs is regulated by many factors such as species, age, gender, type of tissue, the presence of disease, and the administration of therapeutic treatment. The aim of the present study was to identify optimal RGs in a set of blood samples collected at different time points (0, 24, 48, 72 h) from horses following administration of extracorporeal shock wave therapy (ESWT). The mRNA expression of twelve RGs: HPRT1, ACTB, HSP90A, SDHA, GUSB, B2M, UBC, NONO, TBP, H6PD, RPL32, GAPDH was determined using real time quantitative polymerase chain reaction (qPCR). An SAS program developed on the algorithm of geNorm, SASqPCR, was used to determine stability of the expression and the number of optimal RGs. The results showed that the range of quantification cycle (Cq) values of the evaluated genes varied between 17 and 26 cycles, and that one optimal RG, ACTB, was sufficient for normalization of gene expression. Results of stability of expression demonstrated that ACTB was the optimal choice for all the samples studied. Notably, in samples collected at 72 h post ESWT, TBP showed a significant change in the expression level, and was not suitable for use as a RG. These results substantiate the importance of validating and selecting an appropriate RG.

Does East Meet West?—The Association between Oriental Tongue Inspection and Western Clinical Assays of White Blood Cell Subsets

The autonomic nervous system (ANS) controls white blood cell (WBC) subsets;therefore, the status of ANS can be assessed by assaying WBCs. However, this requires invasive blood sampling, time, cost, and training. Therefore, this study focused on a traditional technique, tongue inspection, which is a simpler method. The purpose of this study was to investigate whether there is an association between the traditional method of tongue inspection and clinical assay of WBC subsets. Twenty-one female alopecia areata patients were divided into two age-matched groups: 1) alopecia areata totalis (AT);and 2) alopecia areata multiplex (AM). Images of patient tongues were captured by a digital camera and categorized before blood sampling. Finally, patients were divided into five groups (normal, Yin+, Yang–, Yin– and Yang+) based on the Eight Principles of traditional Chinese medicine (TCM). Concurrently, venous blood was obtained for WBC subsets. The absolute numbers of WBCs and granulocytes of the AT group were higher than those of the AM group. The AT group was Yin+ but not Yang+, whereas the AM group was Yang+ but not Yin+. Thus, the AT group showed more elements of “cold” (Yin > Yang) compared with the AM group with elements of “hot” (Yin < Yang). Tongue inspection suggested a possibility of consistence with those of WBCs although statistical significance was not obtained. Moreover, some Yin+ and Yang+ subjects showed some trend in similarities between tongue inspection and WBC subsets although this was not statistically significant. Therefore, traditional techniques (such as tongue inspection) acupuncture must be studied further to detect whether subtle effects are induced by acupuncture treatment. As this study is underpowered, a larger scale study including males is required in the future.

Evaluation of Total White Blood Cells and Cluster of Differentiation 4 Cells among Post-Menopausal Women in Elele, Nigeria

This study investigated some immune system related parameters among post-menopausal women in Elele, River state, Nigeria. Forty-two individuals participated in this study and forty control subjects were established as well. Blood was collected from the participants, and CD4 cells and total white blood cells count were analyzed using standard procedures. Result showed that test subjects and control values were 5.46 ± 1.64 × 109/L and 7.24 ± 1.47 × 109/L, respectively for total white blood cell and 1265.19 ± 458.56 cells/μl and 2159.53 ± 400.02 cells/μl respectively, for CD4 cells. There was significant difference (P < 0.001) among the test subject and control for both parameters. The results in the test subjects for both parameters were significantly lower compared to the control. The decline in immune system related parameters among the test subjects may predispose them at risk of multiple infections and other associated health conditions.

Elevated White Blood Cell Count Is Associated with an Increased Risk of Insulin Resistance among Non-Diabetic Taxi-Motorbike Drivers Working in Cotonou, Benin

High white blood cell count (WBC) and insulin resistance (IR) are interrelated events that contribute to non-communicable diseases (NCDs), including type-2 diabetes (T2D). However, associations between IR and hematological parameters have never been explored in populations of Benin. The aims of this study were to determine the prevalence of IR and associated hematological parameters in taxi-motorbike drivers (TMDs) working in Cotonou. A total of 133 participants were analyzed in this cross-sectional study. Complete blood count, including WBC and platelet, as well as fasting plasma glucose and insulin, were performed by standard procedures. IR was assessed using the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). Factors associated with IR, their odds ratios (ORs) and 95% confidence intervals (CIs) were determined by logistic regression analysis. The mean age of the study participants was 39.3 years. The HOMA-IR cut-off (75th percentile) for IR was 5.9. The overall prevalence of IR was 24.1%. IR increased with the increase of exposure duration and WBC levels. Logistic regression analysis revealed that the risk of IR increased significantly with higher total WBC, with adjusted ORs (95% CI) for the second and third tertiles of 3.56 (1.10 - 11.58) and 4.01 (1.21 - 13.31), respectively. Similar patterns of associations were observed in an analysis restricted to non-drinkers, although these estimates lacked statistical significance. BMI > 24.2 kg/m2 was independently associated with an increased risk of IR (OR = 3.82, 95% CI: 1.33 - 11.03, P = 0.013). In conclusion, the prevalence of IR in TMDs was 24.1%. IR was significantly associated with elevated WBC count and BMI. WBC may serve as a biomarker to identify individuals at the greatest IR risk.

The Anti-Proliferative Effect of 5-Fluorouracil on Tumor Is Highly Associated with the Renewal of Peripheral White Blood Cells

The efficacy of chemotherapy is thought to be direct killing of tumor cells, but documented studies have been shown that immunity plays a role in its effectiveness. In a pilot study to observe the bone marrow suppression and regeneration in tumor bearing mice induced by single dose injection of 5-fluorouracil (5-FU), we unexpectedly found that tumors grew fast as bone marrow mononuclear cells (BMC) and peripheral white blood cells (PWBC) were decreased quickly during myelosuppression meanwhile significantly slow as repopulating of BMC and PWBC during bone marrow regeneration after 5-FU treatment, no matter whether in low or high dose administration, but the higher the dose was, the lower of the nadir of BMC and PWBC were reached to, as well as the much more powerful duration and strength of the repopulated BMC and PWBC, suggested that the immunity might be a predominant drive in 5-FU chemotherapy. Due to the fact that BMC is the source of PWBC which is its final maturational and functional form, it could be proposed that the anti-proliferative effect of 5-FU on tumor is highly associated with the renewal of PWBC.

Monitoring the changes in plasm C-reactive protein,fibrinogen and blood white cell in patients with primary hypertension combined with acute cerebral infarction

BACKGROUND： Inflammatory reaction and the increased level of its accompanying active protein play an important role in the occurrence and development of cerebral infarction. C-reactive protein, fibrinogen and white blood cell, as the monitoring index of inflammatory reaction, are very important in the occurrence and development of acute cerebral infarction. OBJECTIVE： To make a comparison between patients with primary hypertension accompanied with acute cerebral infarction and with simple primary hypertension by observing the changes in plasma C-reactive protein and fibrinogen levels as well as white blood cell and differential counts and analyzing their significances. DESIGN ： Controlled observation SETTING ： Ward Building for VIP, Shenzhen Hospital, Peking University. PARTICIPANTS： Totally 133 patients with primary hypertension were selected from Ward Building for VIP, Shenzhen Hospital, Peking University during September 2003 to September 2005, The diagnostic criteria were based on the hypertension diagnosis criteria formulated by the 7^th World Health Organization-International Society of Hypertension Guidelines （WHO-ISH） in 1998. The informed consents were obtained from all the participants. The involved patients were assigned into two groups： primary hypertension group, in which, there were 65 patients with primary hypertension （ degree 2）, including 42 males and 23 females, with mean age of （61 ±14）years and mean blood pressure of （162.7±6.8）/（94.2±8.4） mm Hg （1 mm Hg =0.133 kPa）, and primary hypertension combined with cerebral infarction group, in which, there were 68 patients with primary hypertension combined with cerebral infarction （ meeting the diagnostic criteria formulated in the 4^th National Cerebrovascular Diseases Meeting in 1995 and diagnosed by skull CT or MRI to exclude the patients with lacunar infarction）, including 42 males and 26 females, with mean age of （56±15） years and mean blood pressure of （176.4±9.2）/（96.3±9.7） mm Hg. METHODS： Plasm C-reactive protein and fibrinogen levels, and white blood cell and differential counts of patients in the two groups were examined 24 hours after stroke. The above indexes were re-examined in the primary hypertension combined with cerebral infarction group 72 hours after stroke. White blood cell and differential counts were performed with laser method （East Asia FE-95001 RAM-1, Japan）. The level of C-reactive protein was measured with turbidimetry （BNII Automatic Systems For Analysis, USA）. The level of fibrinogen was measured with algorithm method when prothrombin time was normal and with Clauss method when prothrombin time was abnormal （ACL Automatic Coagulation Analyzer, USA）. MAIN OUTCOME MEASURES： The plasm C-reactive protein and flbrinogen levels, and white blood cell and differential counts 24 hours after stroke in two groups and 72 hours after stroke in primary hypertension combined with cerebral infarction group. RESULTS： All the 133 involved patients participated in the result analysis. The plasm C-reactive protein and fibrinogen levels, and white blood cell and neutrophil counts in patients with primary hypertension were all within the normal range. The plasm C-reactive protein and fibrinogen levels, and white blood cell and neu- trophil counts in patients with primary hypertension combined with cerebral infarction were significantly higher than those in patients with primary hypertension 24 hours after stroke and 72 hours after stroke respectively[24 hours after stroke：（32.12±11.76） mg/L vs. （5.02±3.21 ） mg/L;（4.64±0.75） g/L vs. （3.12±0.49） g/L; （9.32±81）×10^9 L^- 1 vs. （5.78±1.32）×10^9L^- 1 （7.85±2.38）×10^9 L^- 1 vs.（3.49±1.28）×10^9 L^-1,t =7.094, 5.759,4.106,5.491, respectively,all P〈 0.01; 72 hours after stroke： （47.62±18.43） mg/L vs. （32.12±11.76） mg/L; （5.08±0.82） g/L vs. （4.64±0.75） g/L, t =2.864,2.220, respectively, both P 〈 0.05]. CONCLUSION： The increase in fibrinogen level and white blood cell count are the important index in monitoring primary hypertension combined with acute cerebral infarction. The increase in plasm C-reactive protein and fibrinogen levels 72 hours after stroke indicates that plasma C-reactive protein and fibrinogen are very important in the development of disease.

肺炎支原体与流感病毒混合感染患儿WBC、CRP指标变化监测

目的分析白细胞计数(White blood cell count,WBC)、C反应蛋白(C-reactive protein,CRP)在肺炎支原体与流感病毒混合感染患儿中的表达及意义。方法选取2020年2月到2022年2月北京世纪坛医院和北京儿童医院顺义妇儿医院收治的164例肺炎支原体与流感病毒混合感染患儿为混合感染组,选取单纯肺炎支原体感染患儿95例为支原体感染组,另选取健康体检志愿者69例为对照组。检测三组WBC、CRP水平。结果与对照组相比,支原体感染组、混合感染组WBC、CRP水平较高(P<0.05);与支原体感染组相比,混合感染组WBC、CRP水平较高(P<0.05)。与预后良好患儿相比,预后不良患儿WBC、CRP水平较高(P<0.05)。ROC曲线显示,两项联合对肺炎支原体与流感病毒混合感染的诊断价值高于WBC、CRP单项检测(P<0.05)。结论肺炎支原体与流感病毒混合感染患儿WBC、CRP水平较高,且随入院时间的延长WBC、CRP水平升高加剧,入院第3d WBC、CRP水平最高,联合检测对流感病毒混合感染患儿的诊断价值较高。

联合检测血清PCT、WBC及CRP对新生儿脓毒症的诊断价值分析

目的分析血清降钙素原(Procalcitonin,PCT)、白细胞计数(White Blood Cell,WBC)、C反应蛋白(Creactive Protein,CRP)联合检测诊断新生儿脓毒症的价值。方法选取2021年1月—2023年6月来宾市人民医院收治的86例脓毒症患儿设为观察组,选取同期于本院出生的75名健康新生儿设为健康组,比较两组PCT、WBC、CRP的差异,分析PCT、WBC、CRP单独及联合检测诊断新生儿脓毒症的价值。结果观察组PCT为(5.71±0.89)ng/mL,WBC为(25.88±3.61)×10^(9)/L,CRP为(15.63±2.11)mg/L,均高于健康组的(0.24±0.03)ng/mL、(4.36±0.97)×10^(9)/L、(3.89±0.64)mg/L,差异有统计学意义(t=53.179、50.056、46.346,P均<0.001);受试者工作特征曲线结果显示,PCT、WBC、CRP联合诊断新生儿脓毒症的曲线下面积为0.934(95%CI=0.886~0.983),高于3者单独诊断的0.867(95%CI=0.809~0.926)、0.898(95%CI=0.878~0.974)、0.860(95%CI=0.793~0.927)。结论PCT、WBC、CRP在新生儿脓毒症患儿体内异常升高,3者联合检测可为诊断新生儿脓毒症提供有力依据。

WBC、MLR、ADA、FDP联合应用在社区获得性肺炎与肺结核鉴别诊断中的价值研究

目的研究白细胞计数(WBC)、单核细胞与淋巴细胞比值(MLR)、腺苷脱氨酶(ADA)及纤维蛋白原降解产物(FDP)联合应用在社区获得性肺炎(CAP)与肺结核鉴别诊断中的价值。方法回顾性收集2020年1月至2023年12月贵州医科大学附属医院感染科收治住院的203例成人CAP和191例肺结核患者,分别作为CAP组和肺结核组。比较两组患者基本资料及WBC、MLR、ADA、FDP的差异,使用单因素Logistic回归分析WBC、MLR、ADA、FDP与肺结核相关性,绘制受试者操作特征(ROC)曲线分析WBC、MLR、ADA、FDP单独及联合应用在鉴别CAP和肺结核中的价值。结果CAP组患者体重指数大于肺结核组患者,差异有统计学意义(P<0.05)。CAP组的WBC为7.76(5.70,10.67)×10^(9)/L,高于肺结核组[6.47(5.14,8.10)×10^(9)/L],MLR、ADA、FDP水平分别为0.34(0.24,0.58)、9.1(7.1,12.4)U/L、1.63(0.70,4.10)μg/mL,均低于肺结核组[0.50(0.33,0.80)、13.0(10.4,16.5)U/L、3.80(1.18,8.00)μg/mL],差异均有统计学意义(P<0.05)。单因素Logistic回归分析结果显示WBC、MLR、ADA、FDP均与肺结核有相关性(P<0.05)。WBC、MLR、ADA、FDP在CAP与肺结核的鉴别中曲线下面积(AUC)分别为0.635(95%CI:0.581~0.689)、0.651(95%CI:0.597~0.705)、0.745(95%CI:0.697~0.793)、0.632(95%CI:0.578~0.687),四者联合应用时ROC曲线结果显示AUC为0.77(95%CI:0.724~0.816),敏感度及特异度分别为73.8%和70.9%。结论CAP患者与肺结核患者的WBC、MLR、ADA及FDP有明显差异,四者联合应用可更有效对CAP与肺结核进行鉴别,为CAP与肺结核的早期鉴别提供了一定的诊疗思路。

血清C-反应蛋白及WBC水平检验在小儿发热中的应用价值分析

目的观察小儿发热诊断中血清C-反应蛋白(C-reactive Protein,CRP)及白细胞计数(White Blood Cell,WBC)水平检验的价值。方法选取2022年11月—2023年11月于徐州市儿童医院就诊的80例发热患儿为研究对象,设为观察组;根据检测的结果将患儿分为细菌感染组和非细菌感染组,各40例。并选取同期20例健康儿童作为对照组,均进行血清CRP和WBC水平检验,比较CRP和WBC结果。结果观察组WBC(15.23±4.31)×10^(9)/L、CRP(24.37±4.15)mg/L高于对照组,差异有统计学意义(t=9.233、24.882,P均<0.05)。细菌感染组WBC、CRP高于非细菌感染组,差异有统计学意义(P均<0.05)。结论血清CRP及WBC水平可以用于细菌感染和非细菌感染鉴别。

血清C反应蛋白和降钙素原与WBC结合谷丙转氨酶诊断小儿手足口病的临床意义

目的分析血清C反应蛋白(CRP)、降钙素原(PCT)、WBC结合谷丙转氨酶(ALT)对小儿手足口病的影响及在患儿临床诊断中的应用价值。方法选取2019年1月至2022年1月江西省儿童医院收治的90例小儿手足口病患儿作为研究组,另选取同期于本院接受体检的90名健康儿童作为对照组。两组均检测CRP、PCT及WBC水平,研究组进行检测病毒性质检测,并检测ALT、谷草转氨酶(AST)与肌酸激酶同工酶MB(CK-MB)。比较两组血清CRP、PCT与WBC水平,根据病毒性质检测结果对研究组进行分组,比较不同病症类型患儿的WBC、ALT、AST与CK-MB水平。结果研究组CRP、PCT与WBC水平均高于对照组,差异有统计学意义(P<0.05)。4组不同病症类型患儿CK-MB水平比较差异有统计学意义(P<0.05),CA16(+)EV71(+)组、CA16(-)EV71(+)组CK-MB水平均高于CA16(+)EV71(-)组、CA16(-)EV71(-)组,差异有统计学意义(P<0.05),其余组间两两比较差异无统计学意义。结论CRP、PCT与WBC可作为小儿手足口病患儿的诊断依据,CK-MB检查可进一步确诊EV71阳性患儿。

维生素K、快速CRP、WBC在儿童腹泻感染类型诊断中的价值探究

目的探究维生素K、快速C-反应蛋白(CRP)、白细胞计数(WBC)在儿童腹泻感染类型诊断中的价值。方法选取腹泻患儿90例,按照病原体不同分为细菌性腹泻组(n=58)、病毒性腹泻组(n=17)和非感染性腹泻组(n=15),选取同期体检的90例健康者为对照组。对比各组维生素K、CRP、WBC水平,并评价上述指标对儿童腹泻感染类型的诊断价值。结果腹泻组CRP、WBC水平均高于对照组,维生素K水平低于对照组(P<0.05);治疗后CRP、WBC水平低于治疗前,维生素K水平高于治疗前(P<0.05);细菌性腹泻组CRP、WBC水平均大于病毒性腹泻组和非感染性腹泻组,维生素K水平低于病毒性腹泻组和非感染性腹泻组(P<0.05);病毒性腹泻组CRP、WBC水平均大于非感染性腹泻组,维生素K水平低于非感染性腹泻组(P<0.05);细菌性腹泻组CRP、WBC及维生素K阳性率均高于病毒性腹泻组和非感染性腹泻组(P<0.05);CRP、WBC、维生素K水平及三者联合诊断对儿童细菌性腹泻与非细菌性腹泻诊断的ROC曲线显示,CRP、WBC、维生素K水平的最佳截断值分别为5.13mg/L、11.06×10^(9)/L、0.081ng/mL时,联合诊断的AUC为0.776均高于单独诊断的0.685、0.682、0.693(P<0.05)。结论维生素K、CRP、WBC联合检测对儿童细菌性腹泻与非细菌性腹泻的诊断具有一定临床意义。