White Blood Cell Profile among Different Clinical Stages of COVID-19 Patients

2021 ◽  
Vol 3 (5) ◽  
pp. 73-76
Author(s):  
Khushbun Nahar Layla ◽  
Shahanara Yeasmin ◽  
Sharif Ahmed Khan ◽  
Khyrun Nahar Shaila ◽  
Afrina Binte Azad ◽  
...  
Keyword(s):  
Neutrophil Count ◽  
Eosinophil Count ◽  
Lymphocyte Count ◽  
Statistical Significance ◽  
Clinical Stage ◽  
Total Count ◽  
Haematological Parameters ◽  
Complete Analysis ◽  
P Value ◽  
Monocyte Count

Coronavirus is affecting millions of people world-wide. Coronavirus disease 2019 (COVID-19) is declared a pandemic by WHO. Severe acute respiratory syndrome corona virus 2(SARS-CoV-2) is the causative agent. The clinical presentations of SARS-CoV-2 infection range from febrile illness to pneumonia, ARDS and multi organ failures. Increasing scientific evidences have shown that abnormalities in routine laboratory test, particularly haematological parameters influence the outcome of the disease. Here variations in WBC profile in several clinical forms of COVID-19 patients are observed, The clinical course of the disease may change with haematological parameters such as lower total count of WBC, lymphocyte, higher neutrophil count, eosinophil count etc. By investigating haematological parameters of different clinical stage of RT-PCR positive 100 COVID-19 patients, statistically significant association (p value 0.001) of lymphocyte count with disease severity was found. It is also found that higher level of total count WBC, neutrophil count in severe group in comparison to mild and moderate groups but failed to reach any statistical significance. Moreover total count WBC and neutrophil count showed positive correlations but lymphocyte count, eosinophil count and monocyte count showed negative correlation with severity of disease. So, complete analysis of the haematological parameters will be very much helpful for early detection of complications & better control of the disease.

PATTERNS OF COMPLETE BLOOD COUNTS (CBC) IN PATIENTS WITH COVID19 INFECTION

2021 ◽  
pp. 51-53
Author(s):  
Chhavi Gupta ◽  
Subhash Bhardwaj
Keyword(s):  
Platelet Count ◽  
Absolute Neutrophil Count ◽  
Neutrophil Count ◽  
Eosinophil Count ◽  
Lymphocyte Count ◽  
Severe Disease ◽  
Clinical Status ◽  
Clinical Severity ◽  
Monocyte Count ◽  
Wbc Count

Background: COVID-19 is an ongoing pandemic caused by virus SARS-CoV-2. Many studies worldwide have documented hematological alterations in COVID-19. The present study also aimed to assess the CBC parameters in COVID-19 patients. Material And Methods: It was an observational study conducted in the Department of Pathology, Govt. Medical College, Jammu. COVID-19 patients admitted in the hospital were included in the study. Demographic details and clinical status were noted. EDTA anticoagulated blood samples received were processed on automated 5-part hematology analyzer for CBC. Various parameters obtained were evaluated and also compared with clinical severity of the patients. Results were tabulated and analysed statistically. Results: The study included 304 hospitalized COVID-19 patients. Males were 219 (72%) and females were 85 (28%). Median 6 age of patients was 55 years. Mean hemoglobin concentration was 12.05 g/dl (SD-1.93), mean RBC count was 4.21x10 /µL (SD3 3 0.69). Mean WBC count was 9.66x10 /µL (SD-4.80), mean absolute neutrophil count was 7.87x10 /µL (SD-4.63), mean absolute 3 3 lymphocyte count was 1.22x10 /µL (SD-0.77), mean absolute monocyte count was 0.52x10 /µL (SD-0.29), mean absolute 3 eosinophil count was 0.04 x10 /µL(SD-0.10). Mean NLR was 10.03 (SD-12.27), mean LMR was 2.84 (SD-2.02), mean PLR was 3 220.16 (SD-208.46). Mean platelet count was 187x10 /µL (SD-97.78). Patients with severe disease show signicantly raised WBC count and absolute neutrophil count, signicantly decreased absolute lymphocyte count, signicantly higher eosinophil count, NLR, PLR and signicantly decreased LMR with no signicant difference in absolute monocyte count and platelet count. Conclusion: Routine monitoring of CBC parameters in COVID – 19 patients during the course of illness is a simple, rapid means to assess disease severity and progression in these patients.

scholarly journals Serum Mycoplasma Pneumoniae IgG in COVID-19: A Protective Factor

2020 ◽  
Author(s):  
Bobin Mi ◽  
Lang Chen ◽  
Adriana C. Panayi ◽  
Yuan Xiong ◽  
Guohui Liu
Keyword(s):  
Clinical Response ◽  
Mycoplasma Pneumoniae ◽  
Neutrophil Count ◽  
Retrospective Review ◽  
Eosinophil Count ◽  
Lymphocyte Count ◽  
Protective Factor ◽  
Monocyte Count ◽  
Nasal Catheter ◽  
Union Hospital

Abstract A correlation between prior exposure to Mycoplasma pneumoniae (IgG positive) and better clinical response to COVID-19 was elusive. In the present study, a retrospective review of 133 COVID-19 infected patients treated at Wuhan Union Hospital from Feb 1 to Mar 20 was carried out. Our data showed that COVID-19 infected patients with mycoplasma lgG positivity had a higher lymphocyte count and percentage (p = 0.026, p = 0.017), monocyte count and percentage (p = 0.028, p = 0.006) and eosinophil count and percentage (p = 0.039, p = 0.007), and a lower neutrophil count and percentage (p = 0.044, p = 0.006) than COVID-19 infected patients without mycoplasma lgG. Furthermore, requirement and use of a nasal catheter or oxygen mask was significantly lower in COVID-19 infected patients with mycoplasma lgG positivity (p = 0.029). Our findings indicate that mycoplasma IgG positivity is a potential protective factor for COVID-19.

Evaluation of prognostic role of inflammatory index in glioblastoma multiforme patients undergoing to concomitant radio-chemotherapy.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e13549-e13549
Author(s):  
Valentina Fausti ◽  
Flavia Foca ◽  
Nada Riva ◽  
Alberto Bongiovanni ◽  
Lorena Gurrieri ◽  
...  
Keyword(s):  
Platelet Count ◽  
Glioblastoma Multiforme ◽  
Neutrophil Count ◽  
Lymphocyte Count ◽  
Statistical Significance ◽  
Prognostic Role ◽  
P Values ◽  
Inflammatory Index ◽  
Radio Chemotherapy

e13549 Background: Hematologic markers of inflammation have been shown to be prognostic in different malignancies. Also in glioblastoma multiforme (GBM) a prognostic role has been demonstrated. The purpose of this study is to evaluate retrospectively the prognostic role of these markers in patients receiving a concomitant radio-chemotherapy after surgery. Methods: Sixty-five GBM patients have been treated with concomitant radio-chemotherapy after surgery at our institute from 2008 to 2017. Information on blood counts were carried out the day before starting therapy and after the day before the last cycle of chemotherapy. Neutrophil/lymphocyte ratio (NLR) and Platelet/lymphocyte ratio (PLR) were computed as the ratio of the absolute neutrophil count and absolute platelet count by the absolute lymphocyte count respectively. Systemic Inflammatory Index (SII) was calculated as platelet count × neutrophil count/lymphocyte count. The optimal cut-point was obtained using X-tile software version 3.6.1. Results: NLR and PLR baseline value didn’t show a statistic a statistically significant prognostic role in PFS or OS. Patients with baseline SII < 480 showed both better PFS and OS (OS: 22.1 VS 11.8 mo p-values 0.0516; PFS: 10.6 VS 5.7 mo p-values 0.0351). Patients aged < 60 years showed better PFS and OS. (PFS 10.3 VS 5.5 p-values 0.0501; OS: 20.6 VS 11.2 mo p-values 0.0124). Statistical significance for SII and age was maintained for both PFS and OS in multivariate analysis as shown in Table 1. Baseline values of NLR PLR and SII have also been correlated with the best response and ORR without showing statistical significance. Conclusions: This restorative study confirms the prognostic value of inflammatory indices in patients with GBM. Correlation analysis with the methylation status of MGMT is ongoing.[Table: see text][Table: see text]

scholarly journals Comparison of complete blood counts of stable COPD patients at two different altitude in Turkey.

2019 ◽  
Vol 26 (09) ◽  
pp. 1518-1523
Author(s):  
Gokhan Perincek ◽  
Sema Avcı ◽  
Ilker Yılmam
Keyword(s):  
High Altitude ◽  
Neutrophil Count ◽  
Eosinophil Count ◽  
Lymphocyte Count ◽  
Complete Blood Count ◽  
Chronic Obstructive ◽  
Copd Patients ◽  
Group 2 ◽  
Hospital Group ◽  
Group 1

Introduction: The aim of this study was to evaluate how altitude difference affects complete blood count (CBC) in patients with stable Chronic Obstructive Pulmonary Disease (COPD). Study Design: Cross-sectional study. Setting: Department of Pulmonology, Kars Harakani State Hospital (Group 1) and Samsun Chest Diseases and Thoracic Surgery Hospital (Group 2), Turkey. Period: Six months i.e. from March to September 2018. Material and Methods: A total of 400 patients (200 female, 200 male) with stable COPD were included. For each group, 100 female and 100 male patients were randomly selected from hospitals. Age, BMI (kg/m2), comorbidity, smoking status, CBC were evaluated. Hemoglobin, hematocrit, WBC, MPV, platelet, lymphocyte count and percentage, platelet/lymphocyte rate (PLR), neutrophil count and percentage, neutrophil /lymphocyte rate (NLR), eosinophil count and percentage, PDW, PCT were recorded. Results: Patients living at high altitude were significantly older, had lower weight and had lower FEV1 levels. COPD stages of Group 1 patients were more severe (p<0.001). There were no moderate COPD patients in this group and the patients had fewer comorbidities (43%). Hemoglobin, hematocrit, MPV, WBC, neutrophil count and percentage, NLR and PLR were significantly higher in Group 1 (p<0.001). PDW, PCT, lymphocyte count and percentage, eosinophil count and percentage were significantly higher in Group 2 patients (p<0.001). Conclusion: Hemoglobin, hematocrit, MPV, WBC, neutrophil count and percentage, NLR and PLR were higher in patients living at high altitude. PDW, PCT, lymphocyte count and percentage, eosinophil count and percentage were significantly higher in patients living at low altitude.

The role of systemic inflammatory factors in gastroenteropancreatic neuroendocrine tumors (GEP-NETs) treated with peptide receptor radionuclide therapy (PRRT).

2021 ◽  
Vol 39 (3_suppl) ◽  
pp. 371-371
Author(s):  
Estephany Abou Jokh Casas ◽  
Nieves Martinez Lago ◽  
Jose Manuel Cabezas Agricola ◽  
Urbano Anido Herranz ◽  
Francisco Baron ◽  
...  
Keyword(s):  
Neuroendocrine Tumors ◽  
Systemic Inflammation ◽  
Neutrophil Count ◽  
Lymphocyte Count ◽  
Inflammatory Factors ◽  
Prognostic Impact ◽  
Monocyte Count ◽  
Multicentric Study ◽  
Cutoff Values ◽  
Systemic Treatments

371 Background: Inflammation plays a key role in the pathophysiology of many diseases, including cancer. Systemic inflammatory factors have been validated as indicators of ongoing systemic inflammation that could be predictive markers of poor prognosis for oncological outcomes. However, it is unknown the prognostic impact of systemic inflammation markers in patients with GEP-NETs treated with PRRT. Methods: We conducted an observational, retrospective, multicentric study of 40 patients with GEP-NET treated with PRRT belonging to GGNET (Galician Research Group on Neuroendocrine Tumors) network at Nuclear Medicine Department of Santiago de Compostela University Hospital (Spain). The systemic inflammatory markers were calculated as follows: NLR = neutrophil count/lymphocyte count, PLR = platelet count/lymphocyte count, MLR= monocyte count/lymphocyte count, ALB= albumin levels and dNLR = neutrophil count/ (leucocytes count – neutrophils count). For the calculation of the different ratios, baseline analysis and after the second dose were used. The cut-off values were determined as the median of each values, correlating them with progression-free survival (PFS). Results: Data from 40 patients (pts) treated between 2016 and 2020 were recorded. Median age was 63.5 years (range 41-85) and 55% were male. Baseline ECOG PS 0/1/2 was 15 (37.5%)/16 (40%)/9 (22.5%). Tumor location was intestinal 26 pts (65%), pancreas 11 pts (27.5%) and unknown origin 3 pts (7.5%). 15 pts (37.5%) were functioning. Tumor grade G1/G2/G3 were 17 pts (42.5%)/ 20 pts (50%)/ 3 pts (7.5%), and Ki 67 <2/3-20/>20%/unknown were 11 pts (27.5%)/ 21 pts (52.5%)/ 3 pts (7.5%)/ 5 pts (12.5%), respectively. The most frequent site of metastasis was liver 32 pts (80%), lymph nodes 19 pts (47.5%), peritoneum 11 pts (27.5%) and bone 10 pts (25%). Surgery: 22 pts (55%) primary tumor surgery and 8 pts (20%) metastasectomy. Previous systemic treatments included somatostatin analogs (SSA) 40 pts (100%), everolimus 26 pts (65%) and sunitnib 11 pts (27.5%), others 7 pts (17.5%). The baseline cutoff-values for NLR was 2.61, for PLR 110.14, for MLR 0.31, for ALB 4.2. and for dNLR 1.71. The cutoff-values after the 2nd dose for NLR was 2.3, for PLR 2.15, for MLR 0.3, for ALB 4.2 and for dNLR 1.48. With a median follow up of 21 months, 14 pts (35%) had died. Median PFS was 27.2 m (95% CI 16.0-38.4m) and OS was not reached (NR). Pts with baseline higher NLR (>2.61 vs. <2.61) had a significantly lower PFS: 15.8 m vs. NR (HR 0.181; 95% CI 0.051-0.638, p=0.03), which was also true for pts with elevated dNLR (>1.71 vs. <1.71): PFS 15.8 m vs. NR (HR 0.174; 0.049-0.614, p=0.03). Baseline PLR, ALB, MLR and NLR, PLR, ALB, dNLR and MLR values after the 2nd dose was not statistically significant for PFS. Conclusions: We have identified that baseline NLR and dNRL are significant predictive factors in patients with GEP-NETs treated with PRRT.

The Leucocyte Count in Children with Mongolism

1958 ◽  
Vol 104 (435) ◽  
pp. 457-460 ◽  
Author(s):  
Ursula Mittwoch
Keyword(s):  
Neutrophil Count ◽  
Lymphocyte Count ◽  
Leucocyte Count ◽  
Total Count ◽  
Control Group ◽  
Normal Children ◽  
Previous Communication ◽  
Comparable Control

A previous communication (Mittwoch, 1957) contained evidence that the leucocyte count in children with mongolism showed certain abnormalities. Although the total count was not affected, the lymphocyte count was lower and the neutrophil count seemed somewhat higher than in a comparable control group. It will be shown in the present paper that these differences between mongol and non-mongol children are dependent on age, and that the gradual drop with age of the lymphocyte count, which is found in normal children (Kato, 1935), does not occur in children with mongolism.

scholarly journals Diagnostic Evaluation of Doshaja Kasa w.s.r to Hematological Investigations

AYUSHDHARA ◽  
2021 ◽  
pp. 3294-3300
Author(s):  
Agnihothram Venkata Ananda Vardhan ◽  
Subash Chandra Bose. M
Keyword(s):  
Early Intervention ◽  
Observational Study ◽  
Neutrophil Count ◽  
Eosinophil Count ◽  
Lymphocyte Count ◽  
Scoring System ◽  
Statistical Evaluation ◽  
Age Group ◽  
Hematological Investigation ◽  
Secondary Diseases

Kasa is one of the commonest complaints in day to day life and clinical manifestation affecting Pranavaha Srotas. Among the five major types of Kasa mentioned by Acharyas, Vata, Pitta & Kaphaja Kasa have distinct and significant clinical features and Samprapti. Early intervention is necessary in case of Kasa as it is a potential Nidanarthakara Vyadhi (disease having tendency to produce secondary diseases) to produce Kshaya. This observational study involving 150 subjects of age group 16 to 60 was carried out to assess the utility of hematological investigations (T.C, D.C, AEC, and ESR) to diagnose Vata, Pitta and Kaphaja Kasa respectively. Assessment of type of Kasa was done by scoring system of classical symptoms and changes in laboratory parameters were noted for each. Results are drawn based on Statistical evaluation of each type of Kasa with respect to each of the hematological investigation involved in the study. Investigations like neutrophil count, absolute eosinophil count and lymphocyte count have shown significant association with respect to Vataja, Pittaja and Kaphaja Kasa.

Prognostic Factors in Chronic Myelomonocytic Leukemia: A Retrospective Analysis of 41 Patients

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 4279-4279
Author(s):  
Bobin Chen ◽  
Xiaoping Xu ◽  
Yan Ma ◽  
Xiaoqin Wang ◽  
Guowei Lin
Keyword(s):  
Bone Marrow ◽  
Prognostic Factors ◽  
Prognostic Factor ◽  
Survival Time ◽  
Neutrophil Count ◽  
Peripheral Blood ◽  
Lymphocyte Count ◽  
Chronic Myelomonocytic Leukemia ◽  
Monocyte Count ◽  
Myelomonocytic Leukemia

Abstract Purpose To investigate clinical characteristic and prognostic factors for chronic myelomonocytic leukemia (CMML). Methods Retrospective cohort study was used in the study. Information for CMML patients was collected, including symptoms, CBC, results of bone marrow aspire and pathology, cytogenetic. All patients were followed up regularly. Analysis of survival and prognostic factors was performed by Kaplan-Merier cure, log rank test and Cox regression model. Results Forty-one cases were diagnosed as CMML, including 27 male and 14 female patients. Median WBC was 13.7× 109/L. Five patients had leukocytopenia(1.92- 3.46×109/L). Median monocyte count in the peripheral blood was 2.13×109/L, but lower monocyte count (&lt;1×109/L) occurred in 8 patients. All patients presented with bone marrow dysplasia, and most showed hyperplasia, except 3 cases. Abnormal chromosome was detected in 34% cases. Median survival time was 20 months, and there were no difference of survival duration between CMML-1 and CMML-2. Univariate analysis showed that age (&gt; 60 yrs), neutrophil count (&lt;2.0′109/L), lymphocyte count (&lt;1.0′109/L), mature monocyte count (35′109/L) and anemia (Hb&lt; 60g/L) were associated with poor prognosis for CMML. There was no statistical significance in LDH, gender, abnormal chromosome for survival time. Only lymphocyte count and neutrophil count in peripheral blood were independent prognostic factor for CMML after Multivariate analysis. Conclusion CMML mainly occur in elderly patients. Although most patients have leukocytosis and monocytosis at diagnosis, few case shows leucopenia and monocytopenia. Median survival time for CMML is 20 months. Age, neutrophil, lymphocyte and monocyte count, severe anemia are related to CMML prognosis. Neutropenia and lymphopenia in peripheral blood are independent prognostic factor for CMML.

scholarly journals Quantitative Trait of Neutrophil Count Is Influenced By Variants in the Region of Gsdma and PSMD3-CSF3, aging, Cardiometabolic Comorbidities but Not By Chip

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1089-1089
Author(s):  
Marie-France Gagnon ◽  
Sylvie Provost ◽  
Sami Ayachi ◽  
Manuel Buscarlet ◽  
Luigina Mollica ◽  
...  
Keyword(s):  
Platelet Count ◽  
Blood Cell ◽  
Neutrophil Count ◽  
Blood Count ◽  
Genome Wide Association ◽  
P Value ◽  
Monocyte Count ◽  
Factors Associated ◽  
Platelet Counts ◽  
Genome Wide

Abstract Introduction Hematopoiesis ensures lifelong oxygenation, immune and hemostatic functions through the production of billions of blood cells on a daily basis. However, little is known about the factors regulating and influencing this highly coordinated process and the resulting peripheral blood cell quantitative traits during the aging process. In this study, we investigated germline and acquired factors associated with blood cell counts in a cohort of normal aging individuals. Methods Determinants underlying blood cell trait variability were assessed in a cohort of 2996 related and unrelated women of French-Canadian ancestry aged 55 to 101 years. All participants answered a medical questionnaire and provided a blood sample for complete blood count with differential (GenS, Beckman Coulter) and DNA analysis. Potential hereditary variants of significance were assessed using a genome-wide association study (GWAS). Genotyping was performed according to the manufacturer's specifications on the Illumina Infinium Global Array v3-MD (Illumina, San Diego, CA). Variants with a completion rate of ≥98%, minor allele frequency &gt;1% and imputation probability of ≥0.80 were retained. Genome-wide association testing was conducted with SAIGE_0.43.3 to account for the family-based design of our study. Genome-wide significance threshold was at 5x10 -8. Potential acquired factors of importance such as chronic comorbidities and clonal hematopoiesis of indeterminate potential (CHIP) were also sought. CHIP status was assessed with targeted next-generation sequencing of polymorphonuclear cells using the Ampliseq AML panel. Germline and acquired factors were then integrated in generalized linear mixed models to identify factors associated with blood cell indices in multivariate analysis and to characterize their relative contribution. Statistical analyses were conducted with R. Results Mean age of study participants was 69.2 years (standard deviation 9.1 years). Mean values (and standard deviation) of blood cell indices were as follows: total white blood count (WBC) 6.43x10 9/L (1.63), absolute lymphocyte count 1.86x10 9/L (0.57), absolute monocyte count 0.46x10 9/L (0.16), absolute neutrophil count 3.93x10 9/L (1.29), hemoglobin 131.2 g/L (9.67), platelet count 249.2x10 9/L (57.6). Neutrophil and monocyte counts increased with age (b1 coefficient 0.02 (p-value 6.06E-08) and 0.004 (p-value 2.2E-16) respectively), while lymphocyte and platelet counts decreased with advancing age (b1 coefficient -0.01 (p-value 3.65E-07) and -0.29 (p-value 0.023) respectively). GWAS identified 13 variants in the region of GSDMA and PSMD3-CSF3 (chromosome 17) that met genome-wide requirements for WBC and neutrophil counts. Platelet count was significantly associated with a variant intronic to ARHGEF3 (chromosome 3). Among acquired factors, smoking was positively associated with neutrophil, monocyte, lymphocyte counts and hemoglobin levels. Distinctly, we document that cardiometabolic comorbidities (diabetes, coronary heart disease, hypertension and dyslipidemia) are associated with a statistically higher count of myeloid-derived cells (neutrophil count 4.1 vs 3.83 (95%CI 0.28-0.37, p-value &lt;0.001), monocyte count 0.50 vs 0.45 (95%CI 0.02-0.05, p-value &lt;0.001), and platelet count 259 vs 243 (95%CI 10-20, p-value &lt;0.001). These results remained significant in multivariate analysis. In accordance with previous reports, CHIP, which was documented in 14% of the cohort, had no influence on blood counts. Conclusion We document that individual variation in blood counts in individuals is influenced by several factors: (i) germline variants related to GSDMA and PSMD3-CSF3 contribute to white blood cell and neutrophil counts and a variant intronic to ARHGEF3 is influential in determining platelet counts; (ii) aging is associated with increasing levels of neutrophils and monocytes, and reduced lymphocyte and platelet counts, indicating a shift towards myelopoiesis; (iii) this myeloid-biased skewing is further increased among individuals with cardiometabolic comorbidities; (iv) CHIP does not contribute to the age-associated myeloid shift. These findings support that chronic age-related diseases may promote myelopoiesis and contribute to population variability in peripheral blood traits, possibly through a state of low-grade inflammation. Figure 1 Figure 1. Disclosures Busque: Novartis: Consultancy.

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