Correlation of Clot Waveform Analysis (CWA) Parameters with the Days of Hospitalization of CoVID-19 Patients

ABSTRACT

Background: The activation of coagulation is one of the most severe complications of CoVID-19. The automatic optical end-point coagulation analyzers have the ability to present the clot reaction curve of the PT, APTT and Fibrinogen(FIB) which is referred as a clot waveform analysis (CWA). Aim(s) To investigate the ability of CWA parameters for the prognosis of the length of hospital stay of CoVID-19 patients. Method(s) Coagulation tests and CWA on BCSXP System (SIEMENS) were performed in 268 CoVID-19 patients upon hospital admission and prior to the initiation of anticoagulation therapy. The measured CWA parameters of PT, aPTT and FIB were the change in Absorbance(dmA) and the time difference from the starting time of the reaction (mixing of reagent and sample) until a specific absorbance change (absorbance threshold). The patients were divided into 3 groups depending on the duration of hospitalization A < 5 days (n = 42), B6-10 days (n = 81), C>10days (n = 145). Variables were tested with Student's t-test or Mann-WhitneyU test for differences in distributions of dmA and dsec among three groups. Pearson's correlation coefficient was used for comparison among the above parameters of 268 patients and their days of hospitalization. P values < 0.05 were considered statistically significant. All statistical analyses were performed using SPSS27. Result(s) A gradual increase in the values of dmA was detected from A to C group. Statistical significance was present in aPTT and PT among all groups but in FIB only between B and C. From the comparison of dsec, statistical significant decreased values were found only in FIB between A and C (p = 0.027) and B and C (p = 0.002). The comparison between CoVID-19 patients and duration of hospitalization revealed statistical significant correlation of dmA in PT, aPTT (p < 0.001) and in FIB (p = 0.01). Conclusion(s) CWA variables upon admission in COVID-19 patients, may be utilized for the prognosis of the duration of hospitalization.