Haematological indices and coagulation profile as predictors of disease severity and associations with clinical outcome among COVID-19 patients in Lagos, Nigeria.

Background: This study aims to evaluate the use of haematological indices and coagulation profiles as possible low-cost predictors of disease severity and their associations with clinical outcomes in COVID-19-hospitalized patients in Nigeria. Materials and Methods: We carried out a hospital-based descriptive 3-month observational longitudinal study of 58 COVID-19-positive adult patients admitted at the Lagos University Teaching Hospital, Lagos, Nigeria. We used a structured questionnaire to obtain the participants' relevant sociodemographic and clinical data, including disease severity. Basic haematologic indices, their derivatives, and coagulation profile were obtained from patients' blood samples. Receiver Operating Characteristic (ROC) analysis was used to compare these laboratory-based values with disease severity. A P < 0.05 was considered statistically significant. Results: The mean age of the patients was 54.4 ± 14.8 years. More than half of the participants were males (55.2%, n = 32) and most had at least one comorbidity (79.3%, n = 46). Significantly higher absolute neutrophil count (ANC), neutrophil-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), lower absolute lymphocyte count (ALC) and lymphocyte-monocyte ratio (LMR) were associated with severe disease (P < 0.05). Patients' hemoglobin concentration (P = 0.04), packed cell volume (P < 0.001), and mean cell hemoglobin concentration (P = 0.03) were also significantly associated with outcome. Receiver operating characteristic (ROC) analysis of disease severity was significant for the ANC, ALC, NLR, LMR, and SII. The coagulation profile did not show any significant associations with disease severity and outcomes in this study. Conclusion: Our findings identified haematological indices as possible low-cost predictors of disease severity in COVID-19 in Nigeria.

Résumé Contexte: Cette étude avait pour objectif d'évaluer l'utilité des indices hématologiques et profils de coagulation comme prédicteurs à faible coût de la sévérité de la maladie et leurs associations avec les résultats cliniques chez les patients hospitalisés pour COVID-19 au Nigéria. Méthodes: Nous avons mené une étude longitudinale observationnelle descriptive pendant 3 mois portant sur 58 patients adultes positifs au COVID-19, admis à Lagos University Teaching Hospital, Lagos, Nigéria. Un questionnaire structuré a été établit pour obtenir les données sociodémographiques et cliniques pertinentes des participants, y compris les données sur la sévérité de la maladie. Les indices hématologiques de base, leurs dérivés, et le profil de coagulation ont été obtenus à partir d'échantillons de sang de patients. La courbe caractéristique opérante du récepteur (ROC) a été utilisée pour comparer ces indices biologiques avec la sévérité de la maladie. Une valeur de P < 0.05 a été considéré statistiquement significatif. Résultats: L'âge moyen des patients était 54.4 ± 14.8 ans. Plus de la moitié des participants étaient des hommes (55.2 %, n = 32), et la majorité des participants présentaient au moins une comorbidité (79.3 %, n = 46). Un nombre absolu de neutrophiles (CNA), un rapport neutrophiles-lymphocytes (NLR), et une indice d'inflammation immunitaire systémique (SII) significativement élevé, et un nombre absolu de lymphocytes (ALC) et un rapport lymphocyte-monocytes (LMR) bas étaient associés à un maladie sévère (P < 0.05). La taux d'hémoglobine des patients (P = 0.04), l'hématocrite (P < 0.001), et concentration moyenne d'hémoglobine cellulaire (P = 0.03) étaient également significativement associés avec la sévérité de la maladie. L'analyse ROC de la gravité de la maladie était significative pour le ANC, ALC, NLR, LMR, et SII. Le profil de coagulation n'a montré aucune association significative avec la gravité de la maladie dans cette étude. Conclusion: Nos résultats ont identifié les indices hématologiques comme des prédicteurs potentielle à faible coût de la sévérité du COVID-19 au Nigeria. Mots-clés: Profil de coagulation, COVID-19, indices hématologiques, Nigéria, prédicteur.

Clinical Presentation of Mild To Moderate COVID-19 Disease in Patients Admitted at Tertiary Care Hospital Pakistan

Objective: To explore the clinical presentation of mild to moderate COVID-19 disease. Study Design: Cross-sectional analytical study Place and Duration of Study: Tertiary Care Hospital, Rawalpindi from Mar 2020 to Aug 2020. Methodology: Three hundred and ninety-two patients with mild to moderate illness, PCR positive for COVID 19 were included. Frequency of typical symptoms of COVID-19 disease cough, fever, sore throat and shortness of breath and trends in laboratory assays were recorded. Discharge Criteria was two consecutive negative PCR performed upon 7th and 8th day of admission, subsequently on the 11th and 12th day if found positive previously. Results: A total of 392 patients were enrolled in the study with age range of 9-45 years. Out of 96 (24.5%) patients presented with cough and fever. Out of 112 (28.6%) patients complained of fatigue and myalgias. Chest x-ray had a bilateral patch in 96 (24.5%) patients and serum ferritin was raised in 96 (24.5%) patients. The coagulation profile was deranged in 64 (16.3%) patients. PCR results remained positive till 12th day in 80 (20.4%) patients. Conclusion: Fever, Cough and sore throat and deranged biochemical, radiological and haematological markers prove multisystem implications of mild to moderate COVID-19 disease. PCR can remain positive till the 12th day and beyond in modest disease.

Simple Coagulation Profile as Predictor of Mortality in Adults Admitted with COVID-19: A Meta-Analysis

Context: COVID-19 severe manifestations must be detected as soon as possible. One of the essential poor characteristics is the involvement of coagulopathy. Simple coagulation parameters, including prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (aPTT), and platelet, are widely accessible in many health centers. Objectives: This meta-analysis aimed to determine the association between simple coagulation profiles and COVID-19 in-hospital mortality. Method: We systematically searched five databases for studies measuring simple coagulation parameters in COVID-19 on admission. The random-effects and inverse-variance weighting were used in the study, which used a standardized-mean difference of coagulation profile values. The odds ratios were computed using the Mantel-Haenszel formula for dichotomous variables. Results: This meta-analysis comprised a total of 30 studies (9,175 patients). In our meta-analysis, we found that non-survivors had a lower platelet count [SMD =-0.56 (95% CI:-0.79 to-0.33), P < 0.01;OR = 3.00 (95% CI: 1.66 to 5.41), P < 0.01], prolonged PT [SMD = 1.22 (95%CI: 0.71 to 1.72), P < 0.01;OR = 1.86 (95%CI: 1.43 to 2.43), P < 0.01], prolonged aPTT [SMD = 0.24 (95%CI:-0.04 to 0.52), P = 0.99], and increased INR [SMD = 2.21 (95%CI: 0.10 to 4.31), P = 0.04] than survivors. Conclusions: In COVID-19 patients, abnormal simple coagulation parameters on admission, such as platelet, PT, and INR, were associated with mortality outcomes. © 2021, Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

Evaluation of hematological, coagulation and inflammatory biomarker's role in predicting the severity of disease in patients with COVID-19, admitted in designated COVID-19 hospital of central India.

BACKGROUND: COVID-19 is a pandemic viral disease that has affected the Indian population very badly with more than 8.46 million cases and > 0.125 million deaths. AIM: Primary objective of the study is to establish the role of hematological, coagulation and inflammatory biomarkers in early identification of clinically severe covid-19 cases. MATERIALS AND METHODS: This study was conducted from July 2020 to August 2020 at a dedicated COVID-19 referral hospital in central India. Only RT-PCR confirmed COVID-19 positive 300 cases admitted in the hospital were included in this study. Based on the clinical assessment, patients were categorised as mild, moderate, and severe groups as per ICMR guidelines. Blood samples of all cases were tested for haematological, coagulation and inflammatory biomarkers and mean values were compared among the three groups of patients. RESULTS: 46% patients belonged to >60 years of age group. Hematological parameters like total leukocyte count, absolute neutrophil count, Neutrophil: Lymphocyte ratio, Platelet: Lymphocyte ratio significantly increased with lymphocytopenia (P=0.001). Coagulation profile(D-dimer and PT) and inflammatory biomarkers like CRP, LDH, ferritin, procalcitonin and NT- Pro BNP, all were significantly increased with severity of patients(p=0.001). ROC plotted for all the parameters between severe v/s non-severe cases showed that CRP, LDH and D-dimer had a good discriminative precision with AUC >0.8. CONCLUSION: We suggest that biochemical markers like CRP, LDH and D-dimer can be used as a screening tool to differentiate severe patients from non-severe patients of Covid-19 disease in order to identify severe disease at early stage for optimal utilization of resources & reducing further morbidity & mortality.