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Predictors of mortality in COVID-19 patients treated with convalescent plasma therapy

Authors :
Naomi Rahimi-Levene
Jonathan Shapira
Irma Tzur
Eli Shiloah
Victoria Peer
Ella Levin
Marina Izak
Eilat Shinar
Tomer Ziv-Baran
Miriam Weinberger
Oren Zimhony
Jacob Chen
Yasmin Maor
Source :
PloS one. 17(7)
Publication Year :
2022

Abstract

Several options to treat hospitalized severe COVID-19 patients have been suggested. The study aimed to describe survival in patients treated with convalescent COVID plasma (CCP) and to identify in-hospital mortality predictors. This prospective cohort study examined data from 112 severe COVID-19 patients hospitalized in the Corona Departments in an acute care hospital who received two units of CCP (at least one of them high-titer). Demographic and medical data was retrieved from the patients’ electronic health records (EHR). Possible predictors for in-hospital mortality were analyzed in a univariate analysis and those found to be clinically significant were further analyzed in a multivariable analysis. Median age was 67 years (IQR 55–74) and 66 (58.9%) of them were males. Of them, 20 (17.9%) died in hospital. On multivariable analysis diabetes mellitus (p = 0.004, OR 91.54), mechanical ventilation (p = 0.001, OR 59.07) and lower albumin levels at treatment (p = 0.027, OR 0.74) were significantly associated with increased in-hospital mortality. In our study, in-hospital mortality in patients receiving CCP is similar to that reported for the general population, however certain variables mentioned above were associated with increased in-hospital mortality. In the literature, these variables were also associated with a worse outcome in patients with COVID-19 who did not receive CCP. As evidence points toward a benefit from CCP treatment in immunocompromised patients, we believe the above risk factors can further define COVID-19 patients at increased risk for mortality, enabling the selection of candidates for early treatment in an outpatient setting if possible.

Details

ISSN :
19326203
Volume :
17
Issue :
7
Database :
OpenAIRE
Journal :
PloS one
Accession number :
edsair.doi.dedup.....4f351035b080ec38b30cf5746d316751