Unknown

Dataset Information

0

Novel prognostic determinants of COVID-19-related mortality: A pilot study on severely-ill patients in Russia.


ABSTRACT: COVID-19 pandemic has posed a severe healthcare challenge calling for an integrated approach in determining the clues for early non-invasive diagnostics of the potentially severe cases and efficient patient stratification. Here we analyze the clinical, laboratory and CT scan characteristics associated with high risk of COVID-19-related death outcome in the cohort of severely-ill patients in Russia. The data obtained reveal that elevated dead lymphocyte counts, decreased early apoptotic lymphocytes, decreased CD14+/HLA-Dr+ monocytes, increased expression of JNK in PBMCs, elevated IL-17 and decreased PAI-1 serum levels are associated with a high risk of COVID-19-related mortality thus suggesting them to be new prognostic factors. This set of determinants could be used as early predictors of potentially severe course of COVID-19 for trials of prevention or timely treatment.

SUBMITTER: Rubina K 

PROVIDER: S-EPMC8880431 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

altmetric image

Publications

Novel prognostic determinants of COVID-19-related mortality: A pilot study on severely-ill patients in Russia.

Rubina Kseniya K   Shmakova Anna A   Shabanov Aslan A   Andreev Yulii Y   Borovkova Natalia N   Kulabukhov Vladimir V   Evseev Anatoliy A   Popugaev Konstantin K   Petrikov Sergey S   Semina Ekaterina E  

PloS one 20220225 2


COVID-19 pandemic has posed a severe healthcare challenge calling for an integrated approach in determining the clues for early non-invasive diagnostics of the potentially severe cases and efficient patient stratification. Here we analyze the clinical, laboratory and CT scan characteristics associated with high risk of COVID-19-related death outcome in the cohort of severely-ill patients in Russia. The data obtained reveal that elevated dead lymphocyte counts, decreased early apoptotic lymphocyt  ...[more]

Similar Datasets

| S-EPMC7452846 | biostudies-literature
| S-EPMC7983362 | biostudies-literature
2022-05-23 | PXD022792 | Pride
2020-07-22 | GSE153931 | GEO
| S-EPMC9159580 | biostudies-literature
2023-03-23 | GSE227341 | GEO
| S-EPMC7361906 | biostudies-literature
| S-EPMC7190525 | biostudies-literature
| S-EPMC7744012 | biostudies-literature
| S-EPMC7386732 | biostudies-literature