scholarly journals EVALUATION OF HAEMATOLOGICAL PARAMETERS IN PATIENTS WITH COVID-19 INFECTION – A TEACHING HOSPITAL EXPERIENCE

2020 ◽  
pp. 1-4
Author(s):  
Amit Kumar Bhardwaj ◽  
Bimla Banjare ◽  
Arvind Neralwar ◽  
Deepak Gupta ◽  
Rabia Parvin Siddiqui

Introduction - The mankind is facing a major pandemic seen in decades known as COVID-19 disease whose etiological agent is Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2).[1] Haematological Parameters play a very important role in the management of the disease.[4] The present study was designed to evaluate the Haematological Parameters and assess any significant findings associated with the severity of COVID-19 disease. Methods – The COVID-19 RT-PCR confirmed cases were admitted in Dr. Bhim Rao Ambedkar Memorial Hospital, Raipur, Chhattisgarh, India. Two groups were formed and admitted according to the severity of the disease and ICMR Guidelines. Asymptomatic and Mildly Symptomatic cases (ILI cases) were admitted in COVID ward while Severe cases presenting with SARI were admitted in ICU Ward. Haematological Parameters of both the groups from 1st June 2020 to 31st July 2020 were assessed and Biostatistical Analysis was done. Results – Total 87 RT-PCR COVID-19 confirmed cases were admitted with 67 admitted in COVID Isolation ward (Non- ICU) & 20 in ICU ward respectively. No gender differentiation was observed regarding COVID19 infection. Median age of admission is 41.2 years (± 15.5 years, n=87) with ICU admission at 52 years (± 13.9 years, n=20) and Non-ICU admission at 38 years (±14.4 years, n=67). Conclusion – Mean age of Hospitalization in COVID19 disease is 41.2 years ((±15.5, n=87) with ICU admission at 52 years (± 13.9, n=20) and Non-ICU admission at 38 years (±14.4 , n=67). Severity of COVID19 disease increases with senility and co-morbidities while high and/or increasing Total Leucocyte Count (TLC), Absolute Neutrophil Count (ANC), Absolute Monocyte Count (AMC) & low and/or decreasing Absolute Lymphocyte Count (ALC) are the most important Haematological Parameters for COVID-19 diagnosis, severity assessment, prognosis and management.

Author(s):  
Dina Ali Hamad ◽  
Mai Mostafa Aly ◽  
Marwa Ahmed Abdelhameid ◽  
Shimaa Abdalla Ahmed ◽  
Asmaa Salah Shaltout ◽  
...  

Abstract Background The Coronavirus 2019 is a pandemic that has spread worldwide, threatening human health. The main cause of death in patients with COVID-19 is a systemic pro-inflammatory mechanism that quickly progresses to acute respiratory distress syndrome. Hematological ratios as affordable indicators of inflammatory response were studied in COVID-19 patients. The study aimed to study the importance of the blood cell indexes of the systemic inflammatory response, as the Aggregate Index of Systemic Inflammation (AISI), neutrophils lymphocyte to platelet ratio (NLPR), systemic immune-inflammation index (SII) and, systemic inflammation response index (SIRI) in predicting intensive care unit (ICU) admission of COVID-19 patients. Methods 495 COVID-19 patients managed in four tertiary centers; divided into non-ICU and ICU groups. Results Total leucocyte count (TLC), AISI, NLPR, SII, and SIRI were more elevated in the ICU group (P < 0.001 for all except AMC P = 0.006), while this group had less absolute lymphocyte count (ALC) (P = 0.047). We estimated the optimal cut-off values of the hematological ratio; AISI (729), NLPR (0.0195), SII (1346), and SIRI (2.5). SII had the highest specificity (95.6%), while NLPR had the highest sensitivity (61.3%). Age, AISI, CRP, D-dimer, and oxygen aid were the independent predictors for ICU admission in COVID-19 in multivariate logistic regression. Conclusion AISI is a predictor for severity and ICU admission in COVID-19 patients, SII is a predictor of survival, while NLPR and SIRI have an additive role that needs further evaluation.


2021 ◽  
pp. 93-96

Aim: In this study, we aimed to evaluated whether there is an association between the biochemistry parameters obtained from the first blood test after hospitalization of COVID 19 patients and the prognosis and severity of the disease. Thus, we planned to identify patients with a severe course at an early stage and to help physicians determine the appropriate treatment. Material and Method: The study included 106 COVID 19 patients confirmed by RT-PCR. Patients were categorized into two groups: those admitted to the hospital ward and discharged with recovery (mild cases) and those admitted directly or eventually to the intensive care unit (severe cases). Biochemical parameters of the groups were compared with the Mann Whitney-U Test, as none of the compared parameters fit the normal distribution. Results: There was no statistically significant difference between the male-female numbers and ages of the two groups. Statistically significant differences were observed in the length of hospital stay, procalcitonin, hs-troponin I, ferritin, glucose, urea, creatinine, calcium, direct bilirubin, AST, LDH and CRP values (p<0,05). However, no significant difference was found in sodium, potassium, chloride, total bilirubin and ALT tests. Conclusion: The results show that some biochemistry parameters may be used to predict the prognosis of the disease. In particular, procalcitonin, hs troponin I, LDH and CRP values seem to be moderate biomarkers of the prognosis of the disease.


2021 ◽  
Vol 15 (7) ◽  
pp. 2334-2337
Author(s):  
Wali Gul ◽  
Kashif Ali Samin ◽  
Rashid Ahmad ◽  
Khalil Ullah ◽  
Gul Mehnaz ◽  
...  

Objective: The aim of this study is to compare the severity of symptoms and outcomes among vaccinated and non-vaccinated COVID 19 patients in Khyber Pakhtunkhwa, Pakistan Study Design: A Retrospective/ Comparative study Place and Duration: The study was conducted at Medicine department of Lady Reading Hospital, Peshawar and DHQ Category A Hospital, Batkhela for duration of six months between December 2020 and May 2021. Methods: Total 170 patients of both genders had coronavirus disease were presented in this study. Patients were aged between 20-80 years. Demographical details of patients including age, sex, body mass index, residency and socio-economic status were recorded after taking informed written consent. Patients were admitted in COVID 19 ward. There were 70 vaccinated patients in group I and 100 non-vaccinated patients in group II. Co-morbidities among both groups were assessed. Effectiveness and outcomes among both groups were calculated in terms of mortality and reduction in severity of disease. Complete data was analyzed by SPSS 19.0 version. Results: There were 114 (67.1%) patients were males (50 in group I and 64 in group II) and 56 (32.4%) were females (28 in each group). Mean age of the vaccinated patients was 49.16 ±8.55 years with mean BMI 33.16 ±4.64 kg/m2 and in group II mean age was 47.18 ±4.77 years with mean BMI 31.12±12.73 kg/m2.Among 70 cases of group I, 40 (57.1%) were fully vaccinated and 30 (42.9%) patients received their first dose. 50 (71.4%) were educated in group I and in group II 46 (46%) patients were literate. Co-morbidities were diabetes mellitus, hypertension, ischaemic heart and chronic lung disease. Effectiveness among patients of group I was greater 55 (78.6%) as compared to non-vaccinated 36 (36%). Frequency of adverse outcomes hospitalization 10 (10%), ICU admission 14 (14%) and mortality 40 (40%) among non-vaccinated patients were significantly higher as compared to vaccinated patients in which hospitalization 3 (4.3%), ICU admission 2 (2.9%) and mortality was found in 10 (14.3%) cases. Conclusion: We concluded in this study that vaccination against coronavirus disease was effective and helpful for the reduction in severity of the disease. Except this the frequency of adverse outcomes (hospitalization, ICU admission and mortality) can be minimized by vaccination and there is need to give awareness among people to get vaccinated early. Keywords: COVID 19, Vaccination, Pandemic, Mortality


2015 ◽  
Vol 4 (4) ◽  
pp. 227-230
Author(s):  
Devasya Narayana Sharma ◽  
◽  
Ajitha Sharma ◽  
◽  

Background: The immune system in children is constantly developing and they are at an increased risk of infections. It is vital to help enhance immunity by vaccination but more people are turning towards traditional medicines today. The vast flora of the world offers newer options to this effect and is worth exploring. Tinospora cordifolia (Guduchi) is one such plant which has been traditionally used for various health conditions and is also proven to be an immunomodulator. Objective: To evaluate the role of Tinospora cordifolia in status of Vyadhikshamatwa (immunity) in children. Materials and Methods: An open-labelled, placebo-controlled, randomized controlled trial was conducted in 400 children aged 1-15 years, with 200 each in control and test groups. Study drug and placebo were administered orally at a dose of 100 mg/kg body weight twice daily with honey for 2 months. Response was assessed by total leucocyte count (TLC), lymphocyte percentage and absolute lymphocyte count (ALC). Results were analysed statistically using repeated measures Analysis of Variance (ANOVA) for intra-group comparisons and unpaired t-test for intergroup comparisons using Statistical Packages for Social Sciences (SPSS) software version 20.0. Results: The test drug showed statistically significant increase in TLC (P<0.001), ALC (P<0.001) and lymphocyte percentage (P<0.001) as compared to placebo. Also the rate of infections in the trial group were significantly lesser during the study period (P<0.001). Conclusion: Tinospora cordifolia significantly improves immunity in children and can be used as an adjuvant to vaccination.


2021 ◽  
Vol 8 (23) ◽  
pp. 1960-1965
Author(s):  
Bellala Venkata Anuradha Devi ◽  
Cigiri Saritha ◽  
Ravuri Swarupa ◽  
Jeshtadi Anunayi

BACKGROUND The World Health Organization (WHO) has declared Coronavirus disease 2019 (COVID - 19) as a global public health pandemic. Clinical and laboratory biomarkers to predict the severity of corona virus 2019 are essential in this pandemic. Lymphocyte count has been a marker of interest in order to investigate the association of lymphocyte count and severity of COVID-19. We would like to analyse the relationship between absolute lymphocyte count (ALC) & COVID-19 disease severity. METHODS We performed a retrospective study on patients admitted to Government general hospital, Suryapet for COVID-19 illness from September 1st 2020 to September 16th 2020. Age, gender and complete blood count of patients admitted in the hospital was collected. Haemoglobin, total leucocyte count (TLC), absolute neutrophilic count (ANC), absolute lymphocyte count (ALC) and platelet counts were compared between ICU and Non-ICU groups and comparison of absolute lymphocyte counts in each group - ICU alive, ICU death and non-ICU groups was carried out. RESULTS 134 patients who were admitted in the hospital were analysed. Mean age and gender were compared between ICU and Non-ICU groups. We compared ALC between ICU alive, ICU death and non-ICU groups. Mean ALC in ICU death group was 0.81, in ICU alive group 1.04 and in non-ICU as 1.75. We found that patients with disease severity have lower absolute lymphocyte counts. In addition to this we also found that there was neutrophilia and lower haemoglobin levels in ICU patients. CONCLUSIONS We conclude that lymphopenia, defined as absolute lymphocyte count less than 1.1 x 109 /L may be useful in predicting the severity of COVID-19 illness. KEYWORDS COVID-19, Absolute Lymphocyte Count (ALC), Lymphopenia, SARS COV2


2020 ◽  
Vol 9 (11) ◽  
pp. 3552 ◽  
Author(s):  
Yolanda Cuñarro-López ◽  
Óscar Cano-Valderrama ◽  
Pilar Pintado-Recarte ◽  
Ignacio Cueto-Hernández ◽  
Blanca González-Garzón ◽  
...  

This study was designed to examine maternal-perinatal outcomes in pregnant women with suspected coronavirus disease 2019 (COVID-19) according to the result of a real-time reverse transcription polymerase chain reaction (RT-PCR) test and to investigate possible variables that could be useful for predicting a negative RT-PCR result. Participants of this retrospective cohort study were obstetrics patients with suspected COVID-19 who underwent an RT-PCR test in a tertiary hospital in Madrid, Spain. Maternal-perinatal features were analysed according to the results of this test. Clinical, radiological and analytical characteristics that could be associated with a negative result were also explored. In a final subgroup analysis, patients were included if they had pneumonia and a negative test result for the virus. Out of the 111 obstetric patients with suspected COVID-19 that were enrolled, 38.7% returned a negative result. In this RT-PCR-negative group, we recorded lower rates of pneumonia (21.4% vs. 45.6%, p = 0.009), severe or critical clinical features (4.7% vs. 11.8% and 0.0% vs. 5.9%, p = 0.02, respectively), lower lactate dehydrogenase (LDH) levels (168 UI/L vs. 224.5 UI/L, p = 0.003), a greater need for maternal treatment (60.3% vs 24.4%, p < 0.001), a reduced need for oxygen therapy (2.4% vs 28.8%, p < 0.001) and a lower rate of intensive care unit admission (0.0% vs. 3.7%, p = 0.046) than the RT-PCR-positive group. While no differences were found in other variables, the monocyte count was higher (946.2/μL vs. 518.8/μL, p = 0.022) in this group. The predictive model for a negative test result included the monocyte count, LDH level and no need for oxygen therapy. This model was able to identify 73.5% of patients with a negative RT-PCR result. Only 11% of the patients with pneumonia testing negative for the virus had IgG antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The proportion of pregnant women with suspected COVID-19 and a negative RT-PCR result was nearly 39%. In these patients, the symptoms were mild and the systemic severity of the disease was lower. The monocyte count, LDH level and no need for oxygen therapy were the factors that were more related to a negative test result in this group. These variables could be used to guide the management of patients with suspected COVID-19, mainly while waiting for RT-PCR results or in settings where this test is not available.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1996-1996
Author(s):  
Lyla Saeed ◽  
Mrinal M Patnaik ◽  
Kebede H. Begna ◽  
Aref Al-Kali ◽  
Mark R Litzow ◽  
...  

Abstract Background We have previously shown an independent adverse prognostic effect of lymphopenia (absolute lymphocyte count <1.2 x 10(9)/L) for survival in MDS (Jacobs et al. Am J Hematol 2010;85:160) whereas others have suggested a similar value from lymphocyte-to-monocyte ratio (LMR); patients with LMR ≥5 experienced shorter survival with median 67 vs. 126 months (Mushtaq et al. JCO May 20 Supp. 2016:7062). Whether or not "monocytopenia" also carries a prognostic value in MDS is currently unknown and was the main objective for the current study, which also addresses the prognostic value of LMR. Methods We retrospectively recruited 889 consecutive patients with primary MDS who were untreated at the time of referral to our institution and in whom absolute monocyte count (AMC) and absolute lymphocyte count (ALC) at time of referral were documented. The diagnosis of MDS and leukemic transformation (LT) was made according to WHO criteria (Blood. 2009;114:937). Complete follow-up information was updated in January 2015. For the purposes of the current study, monocytopenia was defined as AMC below the lower limit of the institutional normal range, which was 0.3 to 0.9 x 10(9)/L. Comparisons of survival and other clinical parameters were performed between i) patients with and without monocytopenia and ii) patients with and without LMR ≥5. Conventional methods were used for statistical analysis. Results Patient characteristics: Median (range) values for the 889 study patients (69% males) included: age 72 (18-98), hemoglobin 9.6 g/dL (5.4-15.7), leukocyte count 3.4 x 10(9)/L (0.4-35), platelet count 106 x 10(9)/L (2-1804), circulating blasts 0% (0-18), bone marrow blasts 3% (0-19) and absolute lymphocyte count (ALC) 1.2 x 10(9)/L (.02-8.9). Transfusion need was documented in 33% of patients and abnormal cytogenetics in 49%. Risk stratification by the revised international prognostic scoring system (IPSS-R) was very high in 11%, high in 16%, intermediate in 21%, low in 36% and very low in 16%. The median (range) AMC for the entire study population of 889 patients was 0.22 x 10(9)/L (0.0-1.8).The number of patients with subnormal AMC was 539 (61%). After a median follow-up of 27 months, 712 (80%) deaths and 116 (13%) leukemic transformations were documented. Comparison of patients stratified by absolute monocyte count and LMR Compared to patients with AMC >0.3 x 10(9)/L, MDS patients with monocytopenia displayed younger age (p<0.0001), lower hemoglobin (p=0.005), higher red blood cell transfusion need (p=0.03), lower leukocyte count (p<0.0001), lower platelet count (p<0.0001), lower absolute neutrophil count (p<0.0001), higher circulating (p=0.03) and bone marrow (p<0.0001) blasts, higher incidence of abnormal karyotype (p=0.03), and higher risk distribution in terms of both IPSS-R (p<0.0001) and cytogenetic risk stratification by IPSS-R (p=0.03). In univariate analysis, lower AMC was associated with inferior survival (p=0.002); significance was even more apparent when comparing patients with and without monocytopenia (p=0.0003; HR 1.3, 95% CI 1.1-1.5). Similarly, there was significant association between LMR and survival (p<0.0001) with patients with LMR ≥5 experiencing inferior survival (p=0.03; HR 1.2; 95% CI 1.02-1.4). In multivariable analysis, the adverse effect of monocytopenia was shown to be independent of age (p<0.0001), gender (p=0.0001), anemia (Hemoglobin <10 g/dL; p=0.002), thrombocytopenia (platelets <100 x 10(9)/L; p=0.01), neutropenia (absolute neutrophil count <0.8 x 10 (9)/L; p=0.005), subnormal ALC (p=0.0008), circulating blast percentage (p=0.002), cytogenetic risk stratification by IPSS-R (p=0.006) and LMR (p=0.02) or LMR ≥5 (p=0.002); however, significance was lost when risk stratification by IPSS-R was added to the multivariable analysis (p=0.7). In regards to LMR, it retained its significance (p=0.009) during multivariable analysis that included monocytopenia or subnormal ALC, as covariates; however, significance was lost in the context of IPSS-R (p=0.24 for LMR and 0.8 for LMR ≥5) Conclusions Monocytopenia in MDS clusters with adverse disease features and both monocytopenia and higher LMR were associated with poor survival. Despite the display of prognostic independence from each other and other risk factors considered individually, the survival impact of neither monocytopenia nor LMR was found to be independent of IPSS-R. Disclosures Al-Kali: Novartis: Research Funding; Celgene: Research Funding.


2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 7101-7101
Author(s):  
Y. Gao ◽  
S. Lim ◽  
F. Gao ◽  
J. Ng ◽  
Y. Phoon ◽  
...  

7101 Background: For patients undergoing peripheral stem cell harvesting, the current standard predictor for successful harvest is the peripheral blood (PB)CD34 count, which may have a slow turn-around time. Daily monitoring of CD34 count may not be cost-effective. This study aims to identify simple hematological parameters that can be used to predict for a single day CD 34+ stem cell yield of at least 1 x 10(6)/kg. Methods: 57 patients with lymphoproliferative malignancies who underwent autologous stem cell (ASC) harvesting were studied following DHAP, ICE or ESHAP chemotherapy. Eight main parameters were investigated to predict for a single day CD34 stem cell yield above 1x10(6)/kg: PB CD34+ cells, absolute monocyte count (AMC), AMC ratio, total white count (WBC), absolute lymphocyte count (ALC), ALC ratio, immature granulocyte count (IMC), IMC ratio and non-neutrophil cells (NNC). NNC was calculated by subtracting absolute neutrophil count from the total white count. The ratios were calculated by dividing the respective values on the first day of harvest with the values on the day before mobilizing chemotherapy started. Results: Linear regression showed a strong correlation between stem cell yield and CD34+ cells (R2=0.79, p<0.001), IMC ratio (R2=0.51, p<0.001) and AMC ratio (R2= 0.46, P<0.001). WBC and AMC showed a wide dispersion of results and were not reliable predictors of CD34 yield. On multivariate analysis, an IMC > 1 (p=0.03) and AMC ratio > 1 (p=0.002), ALC ratio > 1 (p=0.03) were independently predictive of a single day CD34 stem cell yield exceeding 1x10(6)/kgConclusions: Incorporating simple, routine hematolgic indices such as ALC and AMC ratio into a simple formula can be used to predict for ASC collection in addition to CD34+ count. This may be particularly useful when the turn-around-time to attain enumeration of CD34+ cells is slow or delayed on the same day of collection. No significant financial relationships to disclose.


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