RESUMO
Objectives: It is important to predict the prognosis during hospital admission of Covid-19 patients. The purpose of this study was to see how CRP/ Albumin (CAR) and Platelet/Lymphocyte (PLR) ratios, obtained from patients in the intensive care unit (ICU) within the first 24 hours of their hospitalization with a Covid-19 diagnosis, predictmortality and how they correlated with acute physiology and chronic health evaluation (APACHE II) and sequential organ failure assessment (SOFA). Method(s): Using hospital records, records of 83 patients hospitalized in the ICU with a diagnosis of Covid-19 between 11.03.2020 and 01.01.2021 were retrospectively analyzed . Patients were divided into two groups discharged (Group I) and exits (ex) group (Group II). CAR and PLR were recorded during the first 24 hours of ICU admission, and APACHE II and SOFA scores were computed. The calculated CAR and PLR were correlated with APACHE II and SOFA scores and their association with mortality was investigated. Result(s): SOFA, APACHE II, PLO, and age were higher, and albumin was lower in patients in the mortal course (p<0.05). ROC analysis revealed that APACHE II and SOFA scores could be employed to estimate mortality. Conclusion(s): We believe that APACHE II and SOFA scores can be used to predict mortality in patients admitted to the ICU due to Covid-19, whereas CRP/Albumin and Platelet/Lymphocyte ratios cannot. Copyright © 2023 by The Cardiovascular Thoracic Anaesthesia and Intensive Care.
RESUMO
Objectives: Severe acute respiratory syndrome-coronavirus 2/COVID-19 infection is still a global concern, with pregnant women are considered as vulnerable population. Until now, the characteristics of pregnant women in Indonesia who are infected with COVID-19, as well as pregnancy and neonatal outcomes, are still unknown. This study aims to obtain national data, which are expected to be useful for the prevention and management of COVID-19 in pregnant women in Indonesia. Method(s): There were 1,427 patients recruited in this retrospective multicenter study. This study involved 11 hospitals in 10 provinces in Indonesia and was carried out using secondary patient data from April 2020 to July 2021. COVID-19 severity was differentiated into asymptomatic-to-mild symptoms and moderate-to-severe symptoms. The collected data include maternal characteristics, laboratory examinations, imaging, pregnancy outcomes, and neonatal outcomes. Result(s): Leukocyte, platelets, basophil, neutrophils segment, lymphocytes, monocytes, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, alanine aminotransferase (ALT), aspartate aminotransferase (AST), C-reactive protein (CRP), urea, and creatinine were found to be significantly associated with severity differences (p < 0.05). Moderate-severe symptoms of COVID-19 also shown to have suggestive pneumonia findings on chest X-ray findings. Patients with asymptomatic-to-mild symptoms had significantly (p < 0.001) higher recovery rate, shorter hospital stay, less intensive care unit (ICU) admission, and had more vaginal delivery. Neonates from mother with mild symptoms also had significantly (p < 0.001) higher survival rate, higher birth weight, and higher APGAR score. Conclusion(s): Several laboratory and radiology components, as well as maternal and neonatal outcomes are related to the severity of COVID-19 in pregnant women in Indonesia.Copyright © The Author(s). 2023.
RESUMO
Backgrounds: This study aimed to analyze the applicability of platelet parameters in assessing the severity of COVID-19 disease. Material(s) and Method(s): Patients with RT-PCR confirmed COVID-19 in the Pathology department of a tertiary care hospital in south India from June to December 2020 were included in this study. Clinical details and laboratory parameters of these patients were obtained. The difference between the studied variables in two groups was assessed using independent t-test. The optimum cut-off value of platelet to lymphocyte ratio (PLR) to differentiate between the tested groups was estimated using ROC (receiver operator curve) analysis. Finding(s): This study was conducted on 218 COVID-19 patients, of whom 17.9% showed thrombocytopenia at the time of admission. Among the hematological parameters, PLR, absolute lymphocyte count (ALC), platelet distribution width (PDW), D-dimer, and erythrocyte sedimentation rate (ESR) were significantly different between the ICU (intensive care unit) and non-ICU groups. Increased PLR values were associated with the disease severity. Conclusion(s): PLR could be used as an additional biomarker in assessing the severity of COVID-19 disease, and a cut-off value of 210.27 is optimal to differentiate severe COVID-19 disease from its mild and moderate forms with 79% specificity.Copyright © 2023, TMU Press.
RESUMO
Introduction: Apart from clinical symptoms and pulmonary computed tomography (CT) findings in, confirmed COVID-19 patients' Blood tests have an important role in early diagnosis of the disease and they provide valuable information to physicians regarding the inflammatory status in body. Material(s) and Method(s): A retrospective cross-sectional study was conducted from January 2020 to March 2020 in the Pathology Department of Rural Medical College, Loni. Total of 120 patients from different groups, both genders and between 18 and 75-year age were studied. Result(s): TLC, Neutrophil, NLR, PLR, D-Dimer values were found to have statistical significant (p<0.05) positive correlation with Covid -19 severity.Blood investigations like Lymphocyte and Monocyte count have statistical significant (p<0.05) negative correlation with Covid -19 severity. No significant correlation was observed between haematological tests like Hb, HCT, PLT, LMR and tests of coagulation like PT & APTT with Covid -19 severity. Conclusion(s): We concluded that TLC, NLR and D-dimer tests are important to predict about the severity of disease.Copyright © 2022 Pravara Institute of Medical Sciences. All rights reserved.
RESUMO
Background: Since 2019, Coronavirus has been a highly contagious disease. The COVID-19 outbreak was declared a pandemic by the World Health Organization in March 2020. Variable laboratory findings are reported in COVID-19 patients, among which elevated levels of D-dimer, lactate dehydrogenase, as well as lymphopenia, have been reported to be associated with increased severity of disease symptoms requiring ventilator support, intensive care unit admission, and mortality. Material(s) and Method(s): In the current study, inclusion criteria were: patient age above 18 years and hospitalization in the Imam Khomeini hospital with COVID-19 disease confirmed with nasopharyngeal swab polymerase chain reaction tests. Levels of white blood cells, neutrophils, lymphocytes, hemoglobin, platelets, D-dimer, C-reactive protein, LDH, and ferritin were measured and their correlation with the final patients' outcome was evaluated. Result(s): A total of 208 patients were included in the present study. Higher neutrophil to lymphocyte ratio, (WBC count excluding lymphocyte)/lymphocyte, LDH, platelet to lymphocyte ratio, ferritin, and D-dimer were significantly related to O2 dependency. Neutrophil to lymphocyte ratio, (WBC count excluding lymphocyte)/lymphocyte and LDH were significantly related to higher rates of mortality. Higher Hb and lymphocyte count were significantly related to higher rates of survival. Conclusion(s): Hematological parameters including neutrophil to lymphocyte ratio, (WBC count excluding lymphocyte)/lymphocyte, LDH, platelet to lymphocyte ratio, ferritin, D-dimer, Hb, and lymphocyte count were significantly related to the prognosis of patients with COVID-19 disease. This could help decide which COVID-19 patients have priority for hospitalization and intensive medical care, particularly when the pandemic disease causes limitations in healthcare service.Copyright © 2023 Tehran University of Medical Sciences.
RESUMO
BACKGROUND: While the type and the number of treatments for Coronavirus Disease 2019 (COVID-19) have substantially evolved since the start of the pandemic a significant number of hospitalized patients continue to succumb. This requires ongoing research in the development and improvement of early risk stratification tools. METHOD(S): We developed a prognostic score using epidemiological, clinical, laboratory, and treatment variables collected on admission in 130 adult COVID-19 patients followed until in-hospital death (N.=38) or discharge (N.=92). Potential variables were selected via multivariable logistic regression modelling conducted using a logistic regression univariate analysis to create a combined index. RESULT(S): Age, Charlson Comorbidity Index, P/F ratio, prothrombin time, C-reactive protein and troponin were the selected variables. AUROC indicated that the model had an excellent AUC value (0.971, 95% CI 0.926 to 0.993) with 100% sensitivity and 83% specificity for in-hospital mortality. The Hosmer-Lemeshow calibration test yielded non-significant P values (chi2=1.79, P=0.99) indicates good calibration. CONCLUSION(S): This newly developed combined index could be useful to predict mortality of hospitalized COVID-19 patients on admission.Copyright © 2022 EDIZIONI MINERVA MEDICA.
RESUMO
Background and Aims: Many reviews show impaired response of metabolic and immune systems in patient with diabetes that leads to more severe clinical course of COVID-19. One of such early predictors could be neutrophil indices that derives from hemogram. Our study aims to investigate the predictive value of neutrophil ratios in a diabetic cohort hospitalized with COVID-19. Method(s): We retrospectively examined data from 229 diabetic patients with COVID-19 hospitalized at the regional clinical hospital of Karaganda between May and August 2021. We analyzed the relationship between inflammation markers (neutrophil- lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), neutrophil-platelets ratio (NPR), systemic immune-inflammation index (SII)), disease severity, and early outcomes. Result(s): In multivariate regression analysis, patients with high NLR (p = 0.018), NPR (p = 0.006), and SII (p = 0.022) had more severe COVID-19, an increase in NLR (p = 0.0001), NPR (p = 0.0001) and SII (p = 0.001) was associated with the development of early mortality. The role of PLR in predicting COVID- 19 was not significant (p = 0.388).The ROC curve result showed that higher NLR (AUC = 0.637, 95% CI = 0.554-0.719, p = 0.002) and NPR (AUC = 0.674, 95%CI = 0.600-0.749, p = 0.0001) scores predicted the COVID-19 severity and mortality (NLR: AUC= 0.687, 95% CI = 0.587-0.787, p = 0.0001 and NPR: AUC= 0.703, 95% CI = 0.614-0.791, p = 0.0001), increasing of SII predicted only early mortality (AUC = 0.652, 95% CI = 0.541-0.764, p = 0.004). Conclusion(s): NLR and NPR can be considered as optimal and readily available parameters for predicting the severity and early mortality among diabetic patients with COVID-19.
RESUMO
Aim: Biochemical monitoring of COVID-19 patients is essential for assessing disease diagnosis, severity and progression, as well as monitoring therapeutic intervention. In this study, we aimed to investigate the clinical and laboratory characteristics of the cases followed up with the diagnosis of COVID-19. Material(s) and Method(s): The study included 110 patients who admitted to Kastamonu State Hospital between 1-30 April, 2020 and diagnosed with COVID-19. Demographic, clinical and laboratory data of the patients were evaluated retrospectively. Result(s): According to the presence of pneumonia, an increase in neutrophil, ALT and creatinine values, and a decrease in the leukocyte count were found to be statistically significant. When we took the cut-off value of 28.49 for CRP, 1.45 for NLR and 111.12 for PLR in our ROC analysis, all three values were found to be associated with pneumonia. In the logistic regression analysis, female gender, age over 50 years, and an NLR value above 1.45 increased the risk of pneumonia 2.6, 4.9, and 8.3 times, respectively. Discussion(s): High NLR, CRP and PLR values were found to be associated with the presence of pneumonia.Copyright © 2022, Derman Medical Publishing. All rights reserved.
RESUMO
The impaired hematological parameters have been identified as risk factors for critical illness and higher mortality rates in patients with COVID-19. The aim is to analyze the changes in hematological cells ratios and the relationship to death in COVID-19 patients. Method(s): A retrospective study in COVID-19 patients, classified according to the PaO2/FiO2 relation. The plateletto-lymphocyte ratio (PLR), neutrophil-to-lymphocyte (NLR), and monocyte-to-lymphocyte (MLR) were determined during hospitalization, and changes between four observations during hospitalization were analyzed. Of 780 patients included, 464 were discharged by improvement, and 316 died. From deaths, 26.4% were classified as mild or moderate and 14.1% as severe COVID-19 at admission. The PLR, NLR, and MLR values at admission were higher in patients who died than those who survived. The increase of PLR during later hospitalization stages was associated with death in patients with mild or moderate COVID-19 (OR= 2.22, p<0.001) and, in severe disease (OR= 2.01, p=0.004), a similar association showed the increase MLR (OR= 3.07, p<0.001, and OR= 2.2, p<0.001, respectively). Conversely, the increase in NLR from early stages was associated with death outcome;in early stages (OR= 1.54, p=0.024, and OR= 1.60, p=0.04, according to severity category). In late stages (OR= 3.72, p<0.001 and OR= 3.26, p<0.001, respectively). All models were adjusted by age and sex. The positive change on PLR, MLR, and NRL is associated with death regardless of severity at hospital admission;therefore, the monitoring during the hospitalization stay will be useful to patients' management.
RESUMO
Aim: Recent research have shown that immature granulocytes (IG) can be utilized to predict severe infection, inflammation, and sepsis. As a result, the ability of IG levels to predict the severity of severe COVID-19 and its association with prognosis were studied in our study. Material and Mthods: A total of 317 patients diagnosed with severe COVID-19 in the emergency department were analyzed retrospectively. IGC and IG% levels were compared statistically between patient groups (survivors and non-survivors, those who received and did not get mechanical ventilation (MV) assistance, patients who required and did not require vasopressors, and hospital stays >=10 and <10 days). Result(s): When compared to patients who survived but did not get treatment, non-survivors who got MV and vasopressor support had substantially higher IGC and IG% values (for all p<0.001). Additionally, it was shown that the IG% of patients with hospital stays of >=10 days was substantially greater than that of patients with hospital stays of <10 days (p<0.001). While the IG% cut-off value was >0.45, it reached 75.5% sensitivity, 81.9% specificity, 87.6% NPV and 66.4% PPV for predicting mortality (AUC:0.86, p<0.001). Discussion(s): IG levels are a low-cost, easily accessible, and strong marker that may be used to predict mortality and prognosis in COVID-19 patients.Copyright © 2023, Derman Medical Publishing. All rights reserved.
RESUMO
Platelet-to-lymphocyte ratio (PLR) is a simple biomarker of inflammation that can be measured from a routinely blood count. Various studies showed that PLR had a prognostic value in various conditions such us sepsis, acute pulmonary embolism and malignant tumors. We aimed to determine the prognostic value of the platelet-to-lymphocyte ratio (PLR) in moderate to severe COVID patients. We conducted a retrospective study including 245 patients with COVID-19 pneumonia hospitalized in the pulmonology department of the military hospital of Tunis between September 2020 and December 2021. The optimal cut-off value, sensitivity and specificity of PLR were determined by analysis of receiver operating characteristic (ROC) curve. The population was majority male (72,7 %) with a mean age of 63 +/- 13 years old. Obesity was the most common comorbidity (50%) followed by hypertension (39,6%) and diabetes (39, 2%). The common clinical manifestations were shortness of breath (79,2%), cough (72,4%) and fever (60,8%). The high PLR group had more severe form of the disease on admission (p=0,03). There were no association between PLR and mean hospital stay(p=0,2). Patients with high PLR had more complications (p=0,04), more intensive care unit referrals (p=0,04) and a higher incidence of mortality (p=0,02). A significant correlation between PLR and mortality was observed when a cut-off of 403 was considered as a differentiating benchmark with a sensitivity of 70% and a specificity of 84%, an area under the curve equal to 0.768 and p=0.009. In conclusion, PLR could be a valuable biomarker to predict disease progression in patients with moderate to severe COVID-19.
RESUMO
Introduction: Clinical presentation is an undependable prognostic indicator of Coronavirus disease 2019. So, a more objective predictor is needed to precisely evaluate and classify the prognosis. Immune dysregulation to lymphocytes, mainly T-lymphocytes, have been noticed between Coronavirus disease 2019 patients. This study was planned to determine the role of platelet-to-lymphocyte count ratio and neutrophil-to-lymphocyte ratio in assessment of COVID-19 prognosis. Method(s): 70 hospitalized patients with confirmed COVID-19 were included in this study. All included patients underwent a consistent clinical, radiological and blood examination. Laboratory analysis was made by means of a commercially accessible kit. Blood cells ratios were computed by dividing their absolute counts. Result(s): Non-significant association was found between laboratory data and COVID-19 clinical severity. A significant association between CT classification and platelet-to-lymphocyte count ratio (higher value in L type p=0.001) was detected. Platelet-to-lymphocyte count ratio was significantly higher among intubated cases. However, Nonsignificant association was found between neutrophil-to-lymphocyte ratio and need of endotracheal intubation. Conclusion(s): Routine blood values are abnormal in patients with COVID-19. Platelet-to-lymphocyte count ratio ratios could be used as more meaningful biomarker than other values in predicting the prognosis of COVID-19. LMR helpful in COVID-19 severity.
RESUMO
Aim: In this study, the roles of biomarkers from a peripheral blood sample were used in the diagnosis of COVID-19 patients who have history of fever and have been admitted to hospital are examined. Method(s): The present study was conducted Department of Pathology, AIIMS, Patna, Bihar, India where the patients having history of fever were admitted during the period of 6 months. A total of 100 patients were included who were suspected cases of corona. RTPCR was done for all the patients and were categorized into covid negative and covid positive patients. Result(s): Out of 100 patients included in the study that came with history of fever and was admitted in hospital, RTPCR was done and 65% patients were positive. Out of which 66.2% were male patients and 33.8% were female patients. Hematological parameters were recorded and presented in a tabular data as described in Table 1. Parameters included were total leukocyte count, neutrophils, hemoglobin, lymphocytes, NLR, PLR, SII, and Platelets. In patient with negative test results, it was found that total leukocyte count, neutrophils, platelet, NLR and SII values were higher. Whereas, haemoglobin, lymphocytes and PLR was found to be higher in patients with positive test results. Conclusion(s): In our study, low values of leukocytes, neutrophils, platelets and high values of hemoglobin, Lymphocytes were found with a CBC test which is easily available are found to be valuable in terms of the initial diagnosis of COVID-19. In addition, low values of NLR and SII and high value of PLR and CRP are also indicative of COVID-19.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.
RESUMO
Contrast-induced acute kidney injury (CI-AKI) is a frequent complication in cardiac patients after percutaneous coronary intervention (PCI). Thus, the early prediction of such cases is essential to improve outcomes and prevent complications. Hemogram-derived indices provide a cheap, easy, and non-invasive test. Systemic immune inflammation index (SII) is a novel marker that can be calculated easily from a complete blood count test. It can be an important indicator in determining the balance between systemic inflammation and immune status and can predict CI-AKI better than neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR).Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
RESUMO
Aim: There are several methods to diagnose COVID-19. Early diagnosis and treatment are important in pregnant women with COVID-19. This study aims to investigate whether the APRI score is a method that can be used in the diagnosis of COVID-19 in pregnancy. Material(s) and Method(s): A cross-sectional retrospective study was conducted between March 2020 and November 2020. Pregnant women who were found to be COVID-19 positive by the RT-PCR test were included in the study. The same number of healthy pregnant women who were matched for age, BMI, and gestational week without any systemic disease were included as a control group. Age, gravida, parity, gestational week, BMI, mode of delivery, complete blood count, liver function tests, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and APRI scores were evaluated. The sensitivity and specificity of NLR, PLR, and APRI score in the diagnosis of COVID-19 were investigated. Result(s): Gravida, parity, gestational week, body mass index, and rate of previous vaginal delivery were similar between PCR-positive and negative patients. PCR-positive patients had significantly higher APRI scores (0.4+/-0.3 vs 0.2+/-0.0), NLR scores (7.7+/-5.3 vs 4.2+/-1.9) and PLR scores (217.3+/-105.7 vs 140.8+/-57.6) than PCR negative patients. The sensitivity of the NLR to detect COVID-19 was 69.44%, the specificity was 77.5%, the sensitivity of the PLR to detect COVID-19 was 58.33% (CI = 40.8-74.5), and the specificity was 87.5%. The APRI score sensitivity was 80.56%, and specificity was 80.0%. Discussion(s): The APRI score can be useful in predicting COVID-19 infection in pregnant women.Copyright © 2022, Derman Medical Publishing. All rights reserved.
RESUMO
Aim: We use computed tomography, which is one of the frequently used imaging tests, both as a disease diagnosis method and to follow the clinical course in COVID-19 patients. This also means radiation exposure. Radiation exposure, especially in pediatric patients, can cause life-threatening diseases. Is there a blood parameter that will reduce this undesirable event and allow estimation of computed tomography findings? Are hemogram analysis, one of the most commonly used blood tests, and tomography findings of the disease related? We designed this study based on the questions. Material(s) and Method(s): Among the patients under the age of 18 who applied to the emergency department, those with a positive reverse transcription-polymerase chain reaction (RT-PCR) and chest CT and hemogram were included in the study. Chest CT findings were classified according to the CO-RADS classification. We compared the CO-RADS classification with hemogram parameters and the ratios of these parameters. Result(s): Platelet-to-lymphocyte ratio (PLR) rates were found to be significantly lower as imaging findings became more severe (<0.05). The ratio of MedianPlatelet Volume and Platelet (MPV/Plt) was found to be significantly higher as the imaging findings worsened (p<0.05). When the relationship between laboratory parameters according to imaging groups in our study was evaluated, there was a moderate negative correlation between lymphocyte and platelet levels and imaging findings (p<0.05). A moderate positive correlation with the monocyte level was found (p<0.05). Discussion(s): For the CO-RADS classification, it can be said that the patient was established to classify possible COVID-19 patients only according to chest CT. There is no study in the literature on the classification of pediatric patients with RT-PCR positive definite COVID-19 according to chest CT scans and the comparison of laboratory findings of patients with this classification. The combination of laboratory parameters and CO-RADS classification will guide clinicians in pediatric COVID-19 patient management.Copyright © 2022, Derman Medical Publishing. All rights reserved.
RESUMO
Clinical presentation is an undependable prognostic indicator of COVID-19 (COronaVIrus Disease 2019). So, a more objective predictor is needed to precisely evaluate and classify the prognosis. Immune dysregulation to lymphocytes, mainly T-lymphocytes, have been noticed between COVID-19 patients. The aim. This study was planned to determine the role of platelet-to-lymphocyte count ratio and neutrophil-to-lymphocyte ratio in assessment of COVID-19 prognosis. Methods. 70 hospitalized patients with confirmed COVID-19 were included in this study. All included patients underwent a consistent clinical, radiological and blood examination. Laboratory analysis was made by means of a commercially accessible kit. Blood cells ratios were computed by dividing their absolute counts. Results. Non-significant association was found between laboratory data and COVID-19 clinical severity. A significant association between CT classification and platelet-to-lymphocyte count ratio (higher value in L type;p = 0.001) was detected. Platelet-to-lymphocyte count ratio was significantly higher among intubated cases. However, Non-significant association was found between neutrophil-to-lymphocyte ratio and need of endotracheal intubation. Conclusion. Routine blood values are abnormal in patients with COVID-19. Platelet-to-lymphocyte count ratio ratios could be used as more meaningful biomarker than other values in predicting the prognosis of COVID-19. LMR helpful in COVID-19 severity.
RESUMO
Introduction: Blood tests play an important role in the early detection of disease given that they provide doctors with information about inflammatory processes. A complete blood count (CBC) is easy and inexpensive to perform. These parameters can be used alone as markers of inflammation. Their mutual ratio is also an indicator of early inflammation.4 In light of previous studies, the use of circulating biomarkers instead of inflammation and immune system has been considered a prognostic indicator for COVID-19 positive patients. Aims/ objective: To examines the role of biomarkers from peripheral blood samples in the diagnosis of hospitalized COVID-19 patients with a history of fever. Materials and Method: Haematological biomarkers and coagulation profile was compared between RT-PCR positive and negative patients. Systemic inflammatory index (SII) was calculated by multiplying thrombocyte count with neutrophil count and dividing the value by lymphocyte count. Neutrophil lymphocyte ratio (NLR) was calculated by dividing absolute neutrophil count by absolute lymphocyte count. Platelet lymphocyte ratio (PLR) was calculated by dividing absolute platelet by absolute lymphocyte count. Fisher exact test and unpaired t-test were used to compare categorical and continuous data respectively. Results: Analysis was done on 57 retrospective cases of RT-PCR positive patients and 61 RT-PCR negative patients with history of fever. COVID-19 positive patients showed leukopenia, neutropenia, thrombocytopenia, and lymphocytosis. SII and NLR decreased and PLR increased. PT and APTT were generally within normal limits in most of the patients. There was significant difference between two groups with respect to lymphocyte counts and PLR. Conclusion: The most standardized non-invasive and inexpensive tests such as CBC, coagulation and biochemical tests are available to assess disease severity for wise allocation of medical resources in developing countries such as India where resources and care are limited.
RESUMO
Aim: In this study, the roles of biomarkers from a peripheral blood sample were used in the diagnosis of COVID-19 patients who have history of fever and have been admitted to hospital are examined. Method(s): The present study was conducted Department of Pathology, SKMCH, Muzaffarpur, Bihar, India where the patients having history of fever were admitted during the period of 3 months. A total of 100 patients were included who were suspected cases of corona. RTPCR was done for all the patients and were categorized into covid negative and covid positive patients. Result(s): Out of 100 patients included in the study that came with history of fever and was admitted in hospital, RTPCR was done and 65% patients were positive. Out of which 66.2% were male patients and 33.8% were female patients. Hematological parameters were recorded and presented in a tabular data as described in Table 1. Parameters included were total leukocyte count, neutrophils, hemoglobin, lymphocytes, NLR, PLR, SII, and Platelets. In patient with negative test results, it was found that total leukocyte count, neutrophils, platelet, NLR and SII values were higher. Whereas, haemoglobin, lymphocytes and PLR was found to be higher in patients with positive test results. Conclusion(s): In our study, low values of leukocytes, neutrophils, platelets and high values of hemoglobin, Lymphocytes were found with a CBC test which is easily available are found to be valuable in terms of the initial diagnosis of COVID 19. In addition, low values of NLR and SII and high value of PLR and CRP are also indicative of COVID-19. Copyright © 2022, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.