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 COVID-19 mortality prediction model, 3C-M, built for use in resource limited settings - understanding the relevance of neutrophilic leukocytosis in predicting disease severity and mortality

2021 ◽  
Author(s):  
Niharika Agarwal ◽  
Devika Dua ◽  
Ritika Sud ◽  
Madhur Yadav ◽  
Aparna Agarwal ◽  
...  
Keyword(s):  
Absolute Neutrophil Count ◽  
Neutrophil Count ◽  
Lymphocyte Count ◽  
Hematological Parameters ◽  
Severe Disease ◽  
Absolute Lymphocyte Count ◽  
Mortality Prediction ◽  
Clinical Severity ◽  
Total Leukocyte Count ◽  
Lymphocyte Ratio

In this study, a combination of clinical and hematological information, collected on day of presentation to the hospital with pneumonia, was evaluated for its ability to predict severity and mortality outcomes in COVID-19. Ours is a retrospective, observational study of 203 hospitalized COVID-19 patients. All of them were confirmed RT-PCR positive cases. We used simple hematological parameters (total leukocyte count, absolute neutrophil count, absolute lymphocyte count, neutrophil to lymphocyte ration and platelet to lymphocyte ratio); and a severity classification of pneumonia (mild, moderate and severe) based on a single clinical parameter, the percentage saturation of oxygen at room air, to predict the outcome in these cases. The results show that a high absolute neutrophil count on day of onset of pneumonia symptoms correlated strongly with both severity and survival in COVID-19. In addition, it was the primary driver of an initial high neutrophil-to-lymphocyte ratio (NLR) observed in patients with severe disease. The effect of low lymphocyte count was not found to be very significant in our cohort. Multivariate logistic regression was done using Python 3.7 to assess whether these parameters can adequately predict survival. We found that clinical severity and a high neutrophil count on day of presentation of pneumonia symptoms could predict the outcome with 86% precision. This model is undergoing further evaluation at our centre for validation using data collected during the second wave of COVID-19. We present the relevance of an elevated neutrophil count in COVID-19 pneumonia and review the advances in research which focus on neutrophils as an important effector cell of COVID-19 inflammation.

scholarly journals The hemocyte counts as a potential biomarker for predicting disease progression in COVID-19: a retrospective study

2020 ◽  
Vol 58 (7) ◽  
pp. 1106-1115 ◽  
Author(s):  
Yufen Zheng ◽  
Ying Zhang ◽  
Hongbo Chi ◽  
Shiyong Chen ◽  
Minfei Peng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Platelet Count ◽  
Disease Progression ◽  
Neutrophil Count ◽  
Calibration Curve ◽  
Lymphocyte Count ◽  
Severe Disease ◽  
Clinical Impact ◽  
Predictive Tool ◽  
Potential Biomarker

AbstractObjectivesIn December 2019, there was an outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, China, and since then, the disease has been increasingly spread throughout the world. Unfortunately, the information about early prediction factors for disease progression is relatively limited. Therefore, there is an urgent need to investigate the risk factors of developing severe disease. The objective of the study was to reveal the risk factors of developing severe disease by comparing the differences in the hemocyte count and dynamic profiles in patients with severe and non-severe COVID-19.MethodsIn this retrospectively analyzed cohort, 141 confirmed COVID-19 patients were enrolled in Taizhou Public Health Medical Center, Taizhou Hospital, Zhejiang Province, China, from January 17, 2020 to February 26, 2020. Clinical characteristics and hemocyte counts of severe and non-severe COVID patients were collected. The differences in the hemocyte counts and dynamic profiles in patients with severe and non-severe COVID-19 were compared. Multivariate Cox regression analysis was performed to identify potential biomarkers for predicting disease progression. A concordance index (C-index), calibration curve, decision curve and the clinical impact curve were calculated to assess the predictive accuracy.ResultsThe data showed that the white blood cell count, neutrophil count and platelet count were normal on the day of hospital admission in most COVID-19 patients (87.9%, 85.1% and 88.7%, respectively). A total of 82.8% of severe patients had lymphopenia after the onset of symptoms, and as the disease progressed, there was marked lymphopenia. Multivariate Cox analysis showed that the neutrophil count (hazard ratio [HR] = 4.441, 95% CI = 1.954–10.090, p = 0.000), lymphocyte count (HR = 0.255, 95% CI = 0.097–0.669, p = 0.006) and platelet count (HR = 0.244, 95% CI = 0.111–0.537, p = 0.000) were independent risk factors for disease progression. The C-index (0.821 [95% CI, 0.746–0.896]), calibration curve, decision curve and the clinical impact curve showed that the nomogram can be used to predict the disease progression in COVID-19 patients accurately. In addition, the data involving the neutrophil count, lymphocyte count and platelet count (NLP score) have something to do with improving risk stratification and management of COVID-19 patients.ConclusionsWe designed a clinically predictive tool which is easy to use for assessing the progression risk of COVID-19, and the NLP score could be used to facilitate patient stratification management.

scholarly journals Investigation of the Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio in Patients with Neuromyelitis Optica Spectrum Disorders

2021 ◽  
Author(s):  
Qingli SUN ◽  
Dongsheng FAN
Keyword(s):  
Absolute Neutrophil Count ◽  
Neutrophil Count ◽  
Lymphocyte Count ◽  
Roc Analysis ◽  
Absolute Lymphocyte Count ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Spectrum Disorders ◽  
Wbc Count ◽  
Inflammatory Changes

Abstract Background: This study aimed to explore the differences in the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in patients with neuromyelitis optica spectrum disorders (NMOSDs) as well as their relationship with the onset of the diseases.Methods: The clinical data, laboratory findings, and imaging data of patients with NMOSD admitted to Perking University Third Hospital from January 2015 to December 2020 were retrospectively analyzed. Routine blood tests of patients performed within one week of the appearance of new clinical symptoms or imaging lesions were collected to calculate the NLR and PLR. The routine blood test of the patients in remission was performed more than 6 months after the patients stopped hormone use. The NLR and PLR of patients were compared with those of 100 healthy subjects undergoing physical examinations.Results: A total of 55 patients with NMOSD were enrolled. 44 patients with NMOSD were followed up. In patients with NMOSD, the white blood cell (WBC) count, absolute neutrophil count, and NLR were significantly higher than those in patients in remission and the controls, while the absolute lymphocyte count was significantly lower than that in patients in remission and the controls. In patients with NMOSD in remission, there were no statistically significant differences in the WBC count, absolute neutrophil count, absolute lymphocyte count, or NLR compared with the controls. The PLR of patients with NMOSD in the attack stage was significantly higher than that of the controls, while the PLR of patients with NMOSD in remission was not significantly different from that of the attack stage and the controls. There were no statistically significant differences between APQ4 (+) and APQ4 (-) in patients with NMOSD at the attack stage in the WBC count, absolute neutrophil count, absolute lymphocyte count, platelet count, NLR or PLR. ROC analysis of NLR and PLR for the diagnosis of inflammatory changes in NMOSD at the attack stage and controls: The ROC curve was plotted using NLR and PLR as dependent variables. In patients with NMOSD, the AUC was 0.806 for NLR and 0.612 for PLR. ROC analysis of NLR and PLR for the diagnosis of inflammatory changes in NMOSD at the attack stage and remission stage. The AUC was 0.728 for NLR and 0.594 for PLR.Conclusion: Patients with NMOSD had significantly higher WBC counts, absolute neutrophil counts and NLRs, and elevated NLRs were correlated with inflammatory activity in NMOSD.

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.

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.

scholarly journals Prolonged Administration of Leaf Extract of Ocimum gratissimum Reduces RBC, PCV and Platelet Count but Increases Total WBC and Lymphocyte Counts in Rats

2019 ◽  
pp. 1-8
Author(s):  
E. O. Aribo ◽  
O. E. Ofem ◽  
M. E. Moses
Keyword(s):  
Platelet Count ◽  
Neutrophil Count ◽  
Leaf Extract ◽  
Free Access ◽  
Ocimum Gratissimum ◽  
Group 4 ◽  
Aqueous Leaf Extract ◽  
Group 2 ◽  
Wbc Count ◽  
Rbc Count

Background: Ocimum gratissimum is an ethnopharmacological plant with numerous healing potentials. But there is paucity in scientific literature on its impact on the blood cells. Aim and Objective: The present study was intended to evaluate the dose and time-dependent effect of aqueous leaf extract of Ocimum gratissimum on some haematological in albino Wistar rats. Methods: Twenty four rats were randomly assigned to four equal groups. Group 1 was control, groups 2, 3 and 4 were given 450 mg/kg, 800 mg/kg and 1800 mg/kg respectively of the extract daily for 30 days. All rats had free access to water and rat chow. Results: The result showed a significantly lower RBC count in groups 3 and 4 when compared with control (p<0.05 and p<0.01 respectively). PCV was significantly lower in group 4 than control (p<0.05). Platelet count was significantly lower in group 4 than control (p<0.05) and group 2 (p<0.05). A significant increase in WBC count was observed in groups 2 and 3 when compared with control (p<0.05 and p<0.01 respectively). A significant reduction in neutrophil count was observed in groups 2, 3 and 4 compared with control (p<0.05; p< 0.05 and p<0.01 respectively). There were significant increases in lymphocyte counts in groups 2, 3 and 4 when compared with control (p<0.05, p<0.01 and p<0.01 respectively). There were no significant changes in MCV, MCH and MCHC in the groups. Conclusion: In conclusion, aqueous leaf extract of Ocimum gratissimum causes reduction in RBC count, PCV, platelet count and neutrophil count but causes increases in total WBC count and lymphocyte count.

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]

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