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1.
British Journal of Haematology ; 201(Supplement 1):94-95, 2023.
Article in English | EMBASE | ID: covidwho-20241486

ABSTRACT

Early identification of PNH, a rare life-threatening disease is essential to ensure appropriate management via the UK PNH service. Since testing for PNH is expensive (75.97 per test), we set out to assess the suitability of PNH requests against guidelines with the aim to feedback to colleagues and reduce unnecessary testing. To determine whether PNH requests at UHNM were in line with criteria in British Society for Haematology (BSH) guidelines. All patients over 18 years of age who had PNH testing for the first time and those who had repeat testing for monitoring between 01/04/2019 and 31/03/2020 were included. Patients were selected from electronic records of PNH sample receipt to laboratories. Hospital records were reviewed for clinical details and investigation Results. 82 requests including 79 individual patients were audited. 57% were male and 43% were female. Median age was 56 years. 97.6% of PNH tests were requested by a haematologist whilst only 2.5% requests were done by non-haematology clinicians. 52.4% requests were in keeping with BSH recommendations, whilst 47.6% tests did not meet criteria for testing. All patients tested outside of guideline recommendations were negative. Of the reasonable requests, only 23.3% (10) were positive. Of the PNH positive patients, 8 patients were known to have a PNH clone with aplastic anaemia;one patient had a hypoplastic bone marrow and a known PNH clone whilst only one patient with cytopenia had a new positivity for PNH. The frequency monitoring for aplastic anaemia and a PNH clone was 100% concordant with BSH recommendations. With appropriate testing, only one new patient was identified. Our audit has limitations. We have not been able to assess whether any patients outside of those monitored for PNH in aplastic anaemia have been overlooked for testing. Also, the time period includes the COVID-19 pandemic so our findings may not reflect usual practice. New BSH guidelines for thrombophilia testing were published in 2022 and recommend testing for PNH in patients with thrombosis at unusual sites and abnormal haematological parameters and for patients with arterial thrombosis and abnormal blood parameters. This will likely limit excess tests although the sensitivity and specificity of such an approach has not been formally evaluated. In a finite health system, it is our responsibility to rationalise investigations. The cost of a year's testing was 6229.54 and that of inappropriate testing was 2962.83. As a department, we could, therefore, save 2962.83.

2.
Research on Biomedical Engineering ; 2023.
Article in English | Scopus | ID: covidwho-20236113

ABSTRACT

Purpose: In December 2019, the Covid-19 pandemic began in the world. To reduce mortality, in addiction to mass vaccination, it is necessary to massify and accelerate clinical diagnosis, as well as creating new ways of monitoring patients that can help in the construction of specific treatments for the disease. Objective: In this work, we propose rapid protocols for clinical diagnosis of COVID-19 through the automatic analysis of hematological parameters using evolutionary computing and machine learning. These hematological parameters are obtained from blood tests common in clinical practice. Method: We investigated the best classifier architectures. Then, we applied the particle swarm optimization algorithm (PSO) to select the most relevant attributes: serum glucose, troponin, partial thromboplastin time, ferritin, D-dimer, lactic dehydrogenase, and indirect bilirubin. Then, we assessed again the best classifier architectures, but now using the reduced set of features. Finally, we used decision trees to build four rapid protocols for Covid-19 clinical diagnosis by assessing the impact of each selected feature. The proposed system was used to support clinical diagnosis and assessment of disease severity in patients admitted to intensive and semi-intensive care units as a case study in the city of Paudalho, Brazil. Results: We developed a web system for Covid-19 diagnosis support. Using a 100-tree random forest, we obtained results for accuracy, sensitivity, and specificity superior to 99%. After feature selection, results were similar. The four empirical clinical protocols returned accuracies, sensitivities and specificities superior to 98%. Conclusion: By using a reduced set of hematological parameters common in clinical practice, it was possible to achieve results of accuracy, sensitivity, and specificity comparable to those obtained with RT-PCR. It was also possible to automatically generate clinical decision protocols, allowing relatively accurate clinical diagnosis even without the aid of the web decision support system. © 2023, The Author(s), under exclusive licence to The Brazilian Society of Biomedical Engineering.

3.
Infection, Epidemiology and Microbiology ; 9(1):71-78, 2023.
Article in English | EMBASE | ID: covidwho-20235785

ABSTRACT

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.

4.
Creative Cardiology ; 15(3):377-388, 2021.
Article in Russian | EMBASE | ID: covidwho-20232600

ABSTRACT

Objective: Hypercoagulation and high incidence of thrombosis during COVID-19 is well established. However, there is a lack of data, how it changes over time. The main purpose of our study was to access different parts of hemostasis in few months after acute disease. Material and methods. Patients discharged from our hospital were invited for follow up examination in 2,3-3,8 (group 1 - 55 pts) or 4,6-5,7 months (group 2 - 45 pts) after admission. Control group (37 healthy adults) had been collected before pandemic started. Standard coagulation tests, aggregometry, thrombodynamics and fibrinolysis results were compared between groups. Result(s): D-dimer was significantly higher, and was APPT was significantly lower in group 2 compared to group 1, while fibrinogen, prothrombin levels didn't differ. Platelet aggregation induced by ASA, ADP, TRAP, spontaneous aggregation didn't differ significantly between groups. Thrombodynamics revealed hypocoagulation in both group 1 and group 2 compared to control: V, mum/min 27,3 (Interquartile range (IQR) 26,3;29,4) and 28,3 (IQR 26,5;30,1) vs. 32,6 (IQR 30,4;35,9) respectively;all p < 0,001. Clot size and density in both group 1 and group 2 were significantly lower than in control group. Fibrinolysis appeared to be enhanced in x2 compared to control and group 1. Lysis progression, %/min was higher: 3,5 (2,5;4,8) vs. 2,4 (1,6;3,5) and 2,6 (2,2;3,4) respectively, all p < 0,05. Lysis onset time in both group 1 and group 2 was significantly shorter compared to control. Conclusion(s): We revealed normalization of parameters of clot formation process in 2-6 months after COVID-19, while fibrinolysis remained still enhanced. Further study is required to investigate the clinical significance of these changes.Copyright © Creative Cardiology 2021.

5.
HemaSphere Conference: 17th Annual Scientific Conference on Sickle Cell and Thalassaemia, ASCAT Online ; 7(Supplement 1), 2023.
Article in English | EMBASE | ID: covidwho-20232429

ABSTRACT

The proceedings contain 115 papers. The topics discussed include: clinical and genetic predictors of sickle cell nephropathy in Malawi;clinicohematological characteristics of iron deficiency anemia and hemoglobinopathies in Pakistan;an experience of non-hospital based laboratory;assessment of hematological parameters of petrol filling workers at petrol stations in Ethiopia: a comparative cross-sectional study;burden and risk factor to acute myocardial ischemia in children with sickle cell anemia;dyslipidemia in transfusion-dependent-thalassemia patients and its correlation with serum vitamin D level;impact of COVID-19 pandemic to pre-transfusion hemoglobin level and frequency of transfusion in transfusion-dependent thalassemia patients in Indonesia;retinopathy in Egyptian patients with sickle cell disease;and dietary pattern, socio-demographic characteristics and nutritional status of pregnant women attending Barau Dikko teaching hospital and the need to develop recommended dietary allowance and dietary reference intakes for sickle cell disease patients.

6.
Meandros Medical and Dental Journal ; 24(1):58-64, 2023.
Article in English | Web of Science | ID: covidwho-20231150

ABSTRACT

Objective: Coronavirus disease-2019 (COVID-19) is a disease that can progress with hypoxemia and severe respiratory distress in some patients. The oxyhemoglobin dissociation curve (ODC) is critical to understanding the effects of O2 exchange. This study aimed to evaluate the relationship between the ODC and oxygen-carrying capacity of hemoglobin (Hb) in COVID-19 patients.Materials and Methods: In the study, ODCs were created by examining the data obtained from the arterial blood gas analyses of 686 intensive care unit (ICU) and non-ICU COVID-19 patients retrospectively.Results: It was concluded that patients with COVID-19 and other respiratory distress patients had a slight right-leaning trend in the ODC compared with the standard curve. The P50 value of the ICU group was higher than the other groups (mean: 30.74 mmHg, n=131, p=0.047). While the percentage of oxyhemoglobin (mean: 65.44% vs 69.81%, p=0.015), the amount of glucose (mean: 163.39 mg/dL vs 195.36 mg/dL, p=0.002) and pH (median: 7.38 vs 7.41, p=0.007) in the non-ICU group was higher compared with the control group, the carboxyhemoglobin percentage (mean: 1.66% vs 1.13%, p=0.000), PCO2 (42.02 mmHg vs 39.44 mmHg, p=0.015), potassium (mean: 4.33 mmol/L vs 4.04, p=0.026), and sodium (mean: 138.10 mmol/L vs 135.80 mmol/L, p=0.000) were lower. The methemoglobin percentage of the ICU group was lower (p=0.000) than the other groups.Conclusion: The ODC of COVID-19 and other respiratory distress patients shifts slightly to the right, indicating that patients have partial respiratory difficulties.

7.
J Clin Lab Anal ; 37(1): e24808, 2023 Jan.
Article in English | MEDLINE | ID: covidwho-2327024

ABSTRACT

BACKGROUND: A wave of the Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has rapidly spread in Shanghai, China. Hematological abnormalities have been reported in coronavirus disease 2019 (COVID-19) patients; however, the difference in hematological parameters between COVID-19 patients with fever and patients who are febrile from other causes remains unexplored. METHODS: This retrospective cohort study enrolled 663 SARS-CoV-2 positive patients identified by RT-PCR. Clinical parameters, including age, sex, and threshold cycle values of all COVID-19 patients, and hematological parameters of COVID-19 patients in the fever clinic were abstracted for analysis. RESULTS: Overall, 60.8% of COVID-19 patients were male, and the median age was 45 years. Most of COVID-19 patients were asymptomatic, while 25.8% of patients showed fever and 10.9% of patients had other emergencies. COVID-19 patients with fever had significantly lower white blood cells (WBCs), neutrophils, lymphocytes, platelets and C-reactive protein (CRP), and significantly higher monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), and mean platelet volume-to-platelet ratio (MPR) levels, compared with those in SARS-CoV-2 negative patients with fever from other causes (p < 0.05). Neutrophil-to-lymphocyte ratio (NLR), PLR, and systemic inflammatory index (SII) levels were significantly higher in COVID-19 patients with emergencies (p < 0.05). WBCs showed the best performance with an area under the curve (0.756), followed by neutrophils (0.730) and lymphocytes (0.694) in the diagnosis of COVID-19 in the fever clinic. CONCLUSION: WBCs, neutrophils, lymphocytes, platelets, CRP and MLR, PLR, and MPR may be useful in early diagnosis of COVID-19 in the fever clinic.


Subject(s)
COVID-19 , Humans , Male , Middle Aged , Female , COVID-19/epidemiology , SARS-CoV-2 , Retrospective Studies , Emergencies , China/epidemiology , Lymphocytes , Blood Platelets/chemistry , C-Reactive Protein/analysis , Neutrophils/chemistry
8.
Pravara Medical Review ; 14(2):5-12, 2022.
Article in English | EMBASE | ID: covidwho-2320126

ABSTRACT

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.

9.
International Journal of Hematology-Oncology and Stem Cell Research ; 17(2):89-99, 2023.
Article in English | EMBASE | ID: covidwho-2319170

ABSTRACT

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.

10.
Pakistan Journal of Medical Sciences Quarterly ; 39(3):795, 2023.
Article in English | ProQuest Central | ID: covidwho-2317565

ABSTRACT

Objective: To evaluate the efficacy of hematological parameters to predict severity of COVID-19 patients. Method: This was a cross-sectional comparative study conducted at Central Park Teaching Hospital, Lahore in COVID ward and COVID ICU between April 23, 2021 to June 23, 2021. Patients of all ages and both genders with positive PCR admitted in the COVID ward and ICU during this time span of two months were included in the study. Data was collected retrospectively. Results: This study included 50 patients with male to female ratio of 1.38:1. Though males are more affected by COVID-19 but the difference is not statistically significant. The mean age of the study population was 56.21 and the patients in the severe disease group have higher age. It was observed that in severe/critical group the mean values of total leukocyte count 21.76×103 µI (p-value= 0.002), absolute neutrophil count 71.37% (p-value=0.045), neutrophil lymphocyte ratio (NLR) 12.80 (p-value=0.00) and PT 11.9 seconds (p-value=0.034) and the difference was statistically significant. While in severe/critical group, the mean values of hemoglobin 12.03g/dl (p-value=0.075), lymphocyte count 28.41% (p-value=0.8), platelet count 226×103 µI (p-value=0.67) and APTT 30.7 (p-value=0.081) and the difference was not significantly different between groups. Conclusion: It can be concluded from the study that total leucocyte count, absolute neutrophil count and neutrophil lymphocyte ratio can predict in-hospital mortality and morbidity in COVID-19 patients.

11.
European Research Journal ; 9(2):244-252, 2023.
Article in English | EMBASE | ID: covidwho-2314799

ABSTRACT

Objectives: We aimed to compare biomarkers of COVID-19 patients with the Alpha variant (B.1.1.7), the Delta variant (B.1.617), and no mutation detected in our study. Method(s): A total of 600 patients with positive COVID PCR test and Alpha, Delta variant and no mutation detected with Covid PCR mutation test were included in the study. Troponin I, creatinine, Alanine Aminotransferase (ALT), Aspartate Aminotransferase (AST), Lactate Dehydrogenase (LDH), fibrinogen, D-dimer, ferritin, number of lymphocytes, lymphocytes (%), platelet (PLT), mean platelet volume (MPV), platelet distribution width (PDW), trombosite ratio in the blood (PCT), C-reactive protein (CRP) values were analyzed retrospectively. The age, gender, and hospitalization of the patients were evaluated concurrently. Result(s): Age, troponin, creatinine, LDH, PLT, MPV, and D-dimer were laboratory parameters that vary significantly with COVID-19 virus mutation. Age, troponin, LDH, and MPV values were lower in patients with Delta variant according to patients with the Alpha variant. Lymphocytes (N) and lymphocytes (%) values were lower in hospitalized patients relative to outpatients while age, troponin, LDH, CRP, and D-dimer values were higher in hospitalized patients than outpatients irrespective of mutation. Creatinine values were higher only in hospitalized patients with no mutation detected while ferritin and fibrinogen values were higher in hospitalized patients with Delta variant and no mutation detected. Conclusion(s): Age, troponin, creatinine, LDH, PLT, MPV, D-dimer, fibrinogen, ferritin, CRP, lymphocytes (N), and lymphocytes (%) values can guide to evaluate the diagnosis and hospitalization of patients with future different mutations.Copyright © 2023 by Prusa Medical Publishing.

12.
Antibiotiki i Khimioterapiya ; 65(1-2):21-26, 2020.
Article in Russian | EMBASE | ID: covidwho-2289703

ABSTRACT

The effectiveness of Ribavirin was evaluated by the certainty of disease severity reduction and the coefficient of therapeutic action of drugs at the peak of the pathological process calculated by the following indicators: accumulation of the virus in the lungs, lung damage degree reduction, reduction observed in the severity of changes in the quantitative and qualitative characteristics of white blood, as well as the severity of changes in biochemical blood parameters. Ribavirin is most effective when used according to the emergency prevention regimen at a dose of 20 mg/kg (therapeutic action coefficient - 70%);at a dose of 40 mg/kg according to the therapeutic and prophylactic regimen (therapeutic action coefficient - 60%). Increasing the dose of Ribavirin did not contribute to the therapeutic effectiveness of the drug.Copyright © 2020 Media Sphera Publishing Group. All rights reserved.

13.
Rivista Italiana della Medicina di Laboratorio ; 18(3):148-156, 2022.
Article in English | EMBASE | ID: covidwho-2298362

ABSTRACT

Background: Vaccination is considered the most effective preventive strategy to fight COVID-19. The aim of this study was to evaluate two critical concerns about: 1) the kinetic response of IgG and IgM, and: 2) the hematological abnormalities in a longitudinal cohort of health-care workers (HCW) who had received 2 doses of BNT162b2 mRNA-based vaccine. Method(s): Blood and nasopharyngeal swabs were collected from 46 volunteers' participants, previous written consensus, with presumable no symptoms of COVID-19. Anti-SARS-CoV-2 serum immunoglobulin G (IgG) and M (IgM) and hematological parameters were examined. Multivariable mixed-effects models for repeated measure analysis were adopted to evaluate time changes in IgG, IgM and hematological parameters, and to investigate associations with vaccination response. Result(s): Forty-six subjects (N.=46;31.8% men;68.2% women;mean age near 36 years-old) were enrolled among healthcare workers of IRCCS MultiMedica (Milan, Italy). Overall, increase in serological IgG concentration appeared mainly between 21-28 days after the 1st dose, whereas IgM did not reach positivity in all cases. Mean blood cells counts were in normal range but we observed a significant reduction of total white blood cells and absolute lymphocyte counts after the 1st dose, persisting until the day 28. The increase of monocytes and neutrophils the day after the 1st dose subsequently decayed significantly. Eosinophils concentration showed a tendency to increase over time. Peripheral blood smear showed a growing frequency of atypical lymphocytes (lympho-variants), and of plasmacytoid forms, whereas no difference was found in large granular lymphocytes (LGL), although a decay after the boost was evident. The stratification of subjects, relative to the timing of IgG increase, showed the occurrence of 3 different patterns after vaccination, namely early-responders (R+), late-responders (R-) and pauci-responders (PR) with a peculiar kinetics of hematological parameters. Lymphocytes were significantly associated with total IgG: lower in R+ and PR compared to R- (P=0.0193 and P=00054, respectively). Conclusion(s): In healthy subjects, anti SARS-CoV-2 vaccination induced a variety of non-pathologic abnormalities. The response to vaccination was not equal in the groups examined. In PR group a major difference occurred with respect to R- and R+. This work adds novel insight into the puzzle of changes induced by SARS-CoV-2 virus.Copyright © 2022 EDIZIONI MINERVA MEDICA.

14.
Heliyon ; 9(4): e15233, 2023 Apr.
Article in English | MEDLINE | ID: covidwho-2290569

ABSTRACT

Background: The Coronavirus Disease 2019 (COVID-19) pandemic has been affecting people globally, and the Philippines is one of the countries greatly struck by the virus. The continued rise of new positive cases has drawn attention to the urgent need for healthcare management to cope with this challenge. Severity prediction could help improve medical decision-making and optimise the patient's treatment plan with a good clinical outcome. This study aimed to identify the determinants of COVID-19 disease severity. Methods: Demographic characteristics and laboratory findings were collected from electronic medical records and paper forms of all confirmed COVID-19 cases reported by the University of Perpetual Help DALTA Medical Center between the September 1, 2020 and the October 31, 2021. We performed statistical analyses and interpretation of data to compare severe and non-severe groups. Results: 5,396 confirmed cases were examined. Most of the severe cases were elderly, male, had blood type A, and with comorbidities. Cycle threshold (Ct) values were lower in the severe group. Most patients had higher-than-normal levels of all blood parameters except platelet, white blood cell (WBC), neutrophil, and lymphocyte counts. Age, sex, ABO blood groups, comorbidities, open reading frame 1 ab (ORF1ab) and nucleocapsid (N) gene Ct values, ferritin, C-reactive protein (CRP), procalcitonin (PCT), D-dimer, white blood cell (WBC) count, neutrophil count, and lymphocyte count were significantly associated with disease severity. In multivariate analysis, age groups >60 and 30-59 years, presence of comorbidities, CRP level >5 ng/mL, and PCT >0.05 ng/mL were identified as disease severity predictors. Conclusions: Based on our results, age, comorbidities, CRP, and PCT level may be utilised as primary assessment factors for possible hospital admission and close monitoring upon testing. Early detection of these risk factors may provide strategic interventions that help reduce mortality, hospital admissions, and more expensive and extensive treatments.

15.
International Journal of Pharmaceutical and Clinical Research ; 15(2):1250-1263, 2023.
Article in English | EMBASE | ID: covidwho-2276899

ABSTRACT

Introduction: On December 31, 2019, China reported cases of pneumonia of unknown etiology in the city of Wuhan, Hubei Province of China. With further investigations, the Chinese health authorities, on 7th January 2020 reported the agent as the novel Coronavirus, 2019-nCOV. Initially, Wuhan and later the entire Hubei province was brought under stringent lockdown. Material(s) and Method(s): This retrospective record analysis study involving laboratory investigations was carried out in a single center in the months of June and July 2022. The ethical clearance for this single-centre study was obtained from the Institutional Ethics Committee (IEC). This study included 112 patients, of ages more than or equal to 18 years, who were confirmed cases of COVID-19 with at least one reverse transcriptase polymerase chain reaction test positive and admitted for inpatient treatment for a minimum of 8 days or longer in the wards or ICU between May 2020 to March 2022. Result(s): A total of 112 patients who had a positive RT PCR test were identified and included in the study after excluding patients who had sought discharge against medical advice, who had been referred to other hospitals and patients with a history of chronic renal failure. The mean age of patients included was 60.25 + 15.66. Among these patients 76 (67.9%) were male and 36 (32.1%) were female. Of the 112 patients, 47 patients (42%) survived of which 21(32.3%) were male, 15(31.9%) were female and 65 patients (58%) did not survive, of which 44(67.7%) were male and 21(32.3%) were female. Conclusion(s): Through this study, we can see that all the parameters considered ie. Serum Albumin, Serum Blood urea nitrogen (BUN), D dimer, BUN/Albumin ratio (BAR) and D dimer/Albumin ratio (DAR) are very solid indicators of predicting the outcome of admitted COVID-19 patients.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.

16.
Indian Journal of Clinical Biochemistry ; 37(Supplement 1):S135, 2022.
Article in English | EMBASE | ID: covidwho-2276880

ABSTRACT

India announced a severe and phase wise nationwide lockdown on March 24, 2020. In India, COVID-19's second wave began in the middle of March 2021. In contrast to the first wave of COVID-19, the second wave was characterized by a sharp rise in the number of cases, a decline in the availability of needed treatments, and a rise in mortality, particularly among the young population.Studying the biochemical and clinical variations between the first and second waves of COVID-19 in India is essential given the clear discrepancies between them. In a tertiary care L3 institution in Ghaziabad, the biochemical and pathological biomarkers and their changes in the first and second waves of COVID-19 were investigated. Based on the patient's severity condition, reports of hematological and biochemical parameters from the admitted patients were retrospectively collated for statistical analysis and were compared between the lstwave and 2nd waveofCOVID-19. In contrast to TLC, total protein, and globulin in the second wave, PCV and sodium showed a significant difference between COVID-19 severity classes in the first wave. In all COVID-19 severity classes, the liver enzymes SGOT and SGPT were considerably higher in the second wave than the first wave. Our study concluded that the second wave of COVID-19 has affected liver function more severely than the first wave in Ghaziabad. TLC has emerged as a better marker for distinguishing severe cases from mild cases in the second waveofCOVID-19.

18.
International Journal of Pharmaceutical and Clinical Research ; 15(2):214-221, 2023.
Article in English | EMBASE | ID: covidwho-2267527

ABSTRACT

Aim: This study was aimed at examining the role of hematological parameters among COVID-19 patients in Bihar. Method(s): The study was conducted at Bhagwan Mahavir Institute of medical science, pawapuri, Bihar, India for 7 months to compare hematological parameters of red blood cells (RBCs), platelets, and white blood cells (WBCs) among patients with and without COVID-19 diagnosis. In this study, 500 patients were recruited, a study group of 250 patients testing positive and a control group of 250 testing negative. Result(s): The result showed that 160 (64%) of COVID-19 patients were male and 90 (36%) were female, while 150 (60%) of non-COVID-19 patients were male and 100 (40%) were female. The age range of COVID-19 patients was 20-90 years old;150 of these (60%) between 30 and 60 years old, 75 (30%) over 60, and the remaining 25 (10%) below 30. The non-COVID-19 patients' age range was 20-88;150 of these (60%) between 30 and 60, 55 (22%) over 60, and the remaining 45 (18%) below 30. Regarding the clinical information of COVID-19 patients, 79 of them (31.6%) were attending the hospital in critical status, 54 (21.6%) with mild symptoms, 50 (20%) asymptomatic, 52 (20.8%) with moderate symptoms, and 25 (10%) with severe symptoms. Regarding the COVID-19 patients' situation during the study period, 175 (70%) recovered and were discharged from the hospital, 25 (10%) were still ICU patients at the end of the study period, 15 (6%) were isolated in hospital wards, and 35 (14%) unfortunately passed away. Conclusion(s): Our study results indicate that mild anemia associated with leukopenia may have diagnostic value for COVID-19. Careful assessment of hematological parameters, at baseline and throughout the disease path, will assist physicians in formulating personalized approaches to treatment and promptly offer intensive care to those in greater need.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.

19.
European Respiratory Journal Conference: European Respiratory Society International Congress, ERS ; 60(Supplement 66), 2022.
Article in English | EMBASE | ID: covidwho-2267130

ABSTRACT

Prior studies have shown that increased NLR can be easily used as a rapid and available marker for COVID-19- associated pneumonia pts severity and survival. Aim(s): to determine the role in predicting the surviving in COVID-19-associated pneumonia pts. Material(s) and Method(s): we studied 105 hospitalized pts ((age - 58,4 +/- 1,4 yrs, male - 62 (59 %)) with severe, moderate and critical Covid-19 confirmed by RNA detection of the 2019-nCoV. Measurements included medical history, clinical status, hematological parameters with calculating of NLR. Patients were divided into three groups according to disease severity (1-Group - 37 critical pts (male - 21 (56,7 %)), 2-Group-44 severe (male-25 (26,8 %)), 3-Group-24 moderate (male-11 (45,8 %)). Result(s): research has shown that NLR level was the highest in critical pts 8,5 (6,2;10,1) (p=0,001). According to ROC curve analysis the cut off points of the NLR level was 5,65, and patients were divided into two groups according to NLR level-NLR>=5,65 (57 (53,7 % pts) and NLR<=5,65 (49 (46,3 % pts). We estimated the mean survival time according to NLR level. Estimated mean time until death was 9,7 days for NLR>=5.6 and 7,7 days for NLR<=5.6 (p<0.01) (figure 1). Conclusion(s): high NLR levels on admission were associated with severity of COVID-19. COVID-19-associated pneumonia pts with NLR>=5,6, were less likely to survive during observation period.

20.
Annals of Clinical and Analytical Medicine ; 13(6):663-668, 2022.
Article in English | EMBASE | ID: covidwho-2287380

ABSTRACT

Aim: The majority of the patients with COVID-19 are followed ambulatory. Determination of prognostic factors of mortality in risky groups is essential to improve patient management. The aim of this study is to describe the clinical presentation in patients over 65 years of age with COVID-19 who are followed up at home by a physician and provide insights into the initial prognostic factors in this distinctive population. Material(s) and Method(s): This is a retrospective and observational study. Clinical records of the patients aged over 65 years who were visited by the filiation team, including a physician at home, due to the diagnosis of COVID-19 disease within 2 months were reviewed. Factors affecting mortality were examined. Result(s): Our study included 51 deceased (mean age: 75,1+/-9,0 years, 40,2% males), and 102 patients with COVID-19 who survived (mean age: 73,0+/-6,9 years, 68,6% male). Platelet count ( < 150.000, OR 7,26, p=0,001), CRP level ( < 4, OR 4,55, p=0,02), albumin level ( OR 3,24, p=0,02), and Troponin I level (OR 0,03, p=0,02) were the strongest predictors for death. When propensity score matching was applied, gender (male, OR 7,14, p=0,02) and platelet count (< 150.000, OR 5,34, p=0,02) were the strongest predictors. Discussion(s): Elderly COVID-19 patients have a high mortality rate. An easily measurable and accessible platelet count may be a predictor of a bad outcome. Close follow-up and timely treatment may significantly reduce mortality in high-risk elderly patients under.Copyright © 2022, Derman Medical Publishing. All rights reserved.

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