RESUMEN
BACKGROUND: The current study is a retrospective study designed to evaluate changes in complete blood count and coagulation parameters in adult coronavirus disease 2019 (COVID-19) patients at a prominent Saudi tertiary center to predict disease severity and mortality. METHODS: The cohort consisted of 74 800 adult patients divided into four groups based on a COVID-19 test and the patient's sex: 35 985 in the female negative COVID-19 group, 23 278 in the male negative COVID-19 group, 8846 in the female positive COVID-19 group and 6691 in the male positive COVID-19 group. RESULTS: Patients with COVID-19 demonstrated decreased white blood cell counts and increased red blood cell counts. Also, COVID-19-positive participants exhibited more prolonged partial thromboplastin time and lower D-dimer levels than those of COVID-19-negative subjects (p<0.05). The study also revealed gender-dependent impacts on platelet counts, implying a possible relationship with the greater infection mortality rate in men than in women (p<0.001). In addition, the study found a link between changes in coagulation test results and death in COVID-19 patients (p<0.001). The evidence regarding the effects of COVID-19 on blood cell counts and coagulation, on the other hand, is conflicting, most likely due to variances in study populations and the timing of testing postinfection. CONCLUSIONS: According to the findings, COVID-19-related alterations in blood cell count and clotting ability may be risk factors for death.
RESUMEN
The global COVID-19 pandemic has strained healthcare systems around the globe, necessitating extensive research into the variables that affect patient outcomes. This study examines the relationships between key haematology parameters, duration of hospital stay (LOS), and mortality rates in COVID-19 cases in paediatric patients. Researchers analyse relationships between independent variables (COVID-19 status, age, sex) and dependent variables (mortality, LOS, coagulation parameters, WBC count, RBC parameters) using multivariate regression models. Although the R-square values (0.6-3.7%) indicate limited explanatory power, coefficients with statistical significance establish the impact of independent variables on outcomes. Age emerges as a crucial predictor of mortality; the mortality rate decreases by 1.768% per age group. Both COVID-19 status and age have an inverse relationship with length of stay, emphasising the milder hospitalisation of children. Platelet counts decline with age and male gender, potentially revealing the influence of COVID-19 on haematological markers. There are significant correlations between COVID-19 status, age, gender and coagulation measures. Lower prothrombin time and D-dimer concentrations in elder COVID-19 patients are indicative of distinct coagulation profiles. WBC and RBC parameters exhibit correlations with variables: COVID-19-positive patients have lower WBC counts, whereas male COVID-19-positive patients have higher RBC counts. In addition, correlations exist between independent variables and the red cell distribution width, mean corpuscular volume, and mean corpuscular haemoglobin. However, there is no correlation between mean corpuscular haemoglobin concentration and outcomes, indicating complex interactions between haematological markers and outcomes. In essence, this study underlines the importance of age in COVID-19 mortality, provides novel insights into platelet counts, and emphasises the complexity of the relationships between haematological parameters and disease outcomes.
