AI Article Synopsis
- A study was conducted to develop a new risk score, named SAD-60, to predict mortality in hospitalized COVID-19 patients, involving 1,013 participants with an average age of 60.5 years.
- The research found that factors like oxygen saturation, albumin levels, D-dimer, and age were significant predictors of in-hospital death, with 12.2% of patients dying.
- The SAD-60 score demonstrated a better predictive ability for mortality than existing scores such as CURB-65, NEWS2, and qSOFA, suggesting it could be a valuable tool in clinical settings.
Article Abstract
The aim was to explore a novel risk score to predict mortality in hospitalized patients with COVID-19 pneumonia. This was a retrospective, multicenter study. A total of 1013 patients with COVID-19 were included. The mean age was 60.5 ± 14.4 years, and 581 (57.4%) patients were male. In-hospital death occurred in 124 (12.2%) patients. Multivariate analysis revealed peripheral capillary oxygen saturation (SpO2), albumin, D-dimer and age as independent predictors. The mortality score model was given the acronym SAD-60, representing pO2, lbumin, -dimer, age years. The SAD-60 score (0.776) had the highest area under the curve compared with CURB-65 (0.753), NEWS2 (0.686) and qSOFA (0.628) scores. The SAD-60 score has a promising predictive capacity for mortality in hospitalized patients with COVID-19.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966692 | PMC |
| http://dx.doi.org/10.2217/bmm-2021-1085 | DOI Listing |
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