Predictors of mortality in COVID-19 patients treated with convalescent plasma therapy.
Naomi Rahimi-LeveneJonathan ShapiraIrma TzurEli ShiloahVictoria PeerElla LevinMarina IzakEilat ShinarTomer Ziv-BaranMiriam WeinbergerOren ZimhonyJacob ChenYasmin MaorPublished in: PloS one (2022)
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.
Keyphrases
- electronic health record
- sars cov
- end stage renal disease
- coronavirus disease
- acute care
- risk factors
- mechanical ventilation
- newly diagnosed
- chronic kidney disease
- systematic review
- peritoneal dialysis
- adverse drug
- cardiovascular events
- acute respiratory distress syndrome
- intensive care unit
- type diabetes
- prognostic factors
- stem cells
- coronary artery disease
- big data
- early onset
- cardiovascular disease
- emergency department
- respiratory syndrome coronavirus
- artificial intelligence
- insulin resistance
- glycemic control
- weight loss
- free survival
- data analysis
- patient reported