RESUMEN
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.
Asunto(s)
COVID-19 , Adulto , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , COVID-19/epidemiología , Inflamación , Recuento de Leucocitos , Estudios Longitudinales , Nigeria/epidemiología , Gravedad del Paciente , Estudios RetrospectivosRESUMEN
The use of reverse transcription-polymerase chain reaction (RT-PCR) is the gold standard laboratory test for diagnosing SARS-CoV-2 infection. However, it has the disadvantage of a long turnaround time and cost. The Nigeria Centre for Disease Control (NCDC) formulated a case definition for COVID-19. We sought to determine the utility of a 14-item, point-weighted clinical screening questionnaire adapted from the NCDC case definition in identifying patients more likely to have the disease. This was to aid prompt clinical decision-making. Methods: We retrospectively reviewed the data of 113 non-surgical patients presenting to the Accident and Emergency Department (A and E) of Lagos University Teaching Hospital, Lagos, Nigeria. Patients were stratified based on screening scores into low (0-2), moderate (3-5) and high (6) pre-test categories. Patients with low and high scores ≥6 were admitted to the A and E and the COVID-19 holding ward, respectively, while the moderate group had chest computed tomography scans to aid further decision-making, pending the outcome of their RT-PCR results. The validity of the triage score as compared to the RT-PCR test result was calculated and the kappa score of agreement was utilised to evaluate the concordance between two triage scores. The optimum cut-off score was also obtained based on the maximal Younden's index. Results: The frequencies of low, moderate and high pre-test scores were 34 (30%), 43 (38.1%) and 36 (31.9%), respectively. Overall, 38.1% (43/113) were RT-PCR positive. RT-PCR was positive in 26.5% (9/34) with low screening scores, 55.8% (24/43) with moderate scores and 27.8% (10/36) with high scores. The sensitivity and specificity of a high score of 6 were 25% and 92.86%, while the lower score of 3 had sensitivity and specificity of 62.5% and 58.6%, respectively. Conclusion: The screening tool showed a high specificity in its initial design, which suggests that anyone with a low score using this tool has a high probability of testing negative. We recommend a cut-off score of 4 (score A) or 6 (score B) of the current screening tool be used to increase the chances of identifying persons with COVID-19 for RT-PCR testing.