Evaluation of some diagnostic features of covid-19 in patients with comorbidities
DOI:
https://doi.org/10.52340/spectri.2024.09.01.02Keywords:
biochemical markers, covid-19Abstract
The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), lasted from March 2020 to May 2023, infecting more than 689 million people.
Metihods: 270 patients with chronic diseases admitted to the intensive care unit with Covid-19 were retrospectively examined.
Inclusion criteria: Al. Aladashvili Hospitalized patients with a confirmed diagnosis of Covid-19 in the clinic, who were placed in the intensive care unit (in the period 2020-2023)
Exclusion criteria: mild cases of covid-19, absence of concomitant diseases, We evaluated the diagnostic accuracy according to the lower part of the curve
Result: the laboratory data differ reliably 10 days after treatment, the difference is reliable even. the predictive value of a positive result: very good - LDH, lactate; Good- Po2; Satisfactory - D dimer, leukocytes; bad - ferritin. Prognostic value of a negative result: very good - D dimer, lactate, good - leukocytes, LDH, ferritin; Detractor - Po2. diagnostic accuracy in the last stage of covid: LDH - very good, D dimer, leukocytes, lactate, PO2 - good, ferritin - satisfactory. The prognostic value of the result, as well as the diagnostic accuracy, is high. A value of the area under the curve indicates good diagnostic value pO2 has good sensitivity and very low specificity for predicting lethality in Covid-19 patients, so its use as an independent predictor is not appropriate.
Conclusions: D-dimer, leukocyte count, lactate and LDH can be used as independent markers of lethality in patients with co-morbidities with covid-19.
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