التفاصيل البيبلوغرافية
العنوان: |
Age-Adjusted Endothelial Activation and Stress Index for Coronavirus Disease 2019 at Admission Is a Reliable Predictor for 28-Day Mortality in Hospitalized Patients With Coronavirus Disease 2019 |
المؤلفون: |
Pérez-García, Felipe, Bailén, Rebeca, Torres-Macho, Juan, Fernández-Rodríguez, Amanda, Jiménez-Sousa, Maria Ángeles, Jiménez, Eva, Pérez-Butragueño, Mario, Cuadros-González, Juan, Cadiñanos, Julen, García-García, Irene, Jiménez-González, María, Ryan, Pablo, Resino, Salvador |
المساهمون: |
Instituto de Salud Carlos III |
المصدر: |
Frontiers in Medicine ; volume 8 ; ISSN 2296-858X |
بيانات النشر: |
Frontiers Media SA |
سنة النشر: |
2021 |
المجموعة: |
Frontiers (Publisher - via CrossRef) |
مصطلحات موضوعية: |
General Medicine |
الوصف: |
Background: Endothelial Activation and Stress Index (EASIX) predict death in patients undergoing allogeneic hematopoietic stem cell transplantation who develop endothelial complications. Because coronavirus disease 2019 (COVID-19) patients also have coagulopathy and endotheliitis, we aimed to assess whether EASIX predicts death within 28 days in hospitalized COVID-19 patients. Methods: We performed a retrospective study on COVID-19 patients from two different cohorts [derivation ( n = 1,200 patients) and validation ( n = 1,830 patients)]. The endpoint was death within 28 days. The main factors were EASIX [(lactate dehydrogenase * creatinine)/thrombocytes] and aEASIX-COVID (EASIX * age), which were log 2 -transformed for analysis. Results: Log 2 -EASIX and log 2 -aEASIX-COVID were independently associated with an increased risk of death in both cohorts ( p < 0.001). Log 2 -aEASIX-COVID showed a good predictive performance for 28-day mortality both in the derivation cohort (area under the receiver-operating characteristic = 0.827) and in the validation cohort (area under the receiver-operating characteristic = 0.820), with better predictive performance than log 2 -EASIX ( p < 0.001). For log 2 aEASIX-COVID, patients with low/moderate risk (<6) had a 28-day mortality probability of 5.3% [95% confidence interval (95% CI) = 4–6.5%], high (6–7) of 17.2% (95% CI = 14.7–19.6%), and very high (>7) of 47.6% (95% CI = 44.2–50.9%). The cutoff of log 2 aEASIX-COVID = 6 showed a positive predictive value of 31.7% and negative predictive value of 94.7%, and log 2 aEASIX-COVID = 7 showed a positive predictive value of 47.6% and negative predictive value of 89.8%. Conclusion: Both EASIX and aEASIX-COVID were associated with death within 28 days in hospitalized COVID-19 patients. However, aEASIX-COVID had significantly better predictive performance than EASIX, particularly for discarding death. Thus, aEASIX-COVID could be a reliable predictor of death that could help to manage COVID-19 patients. |
نوع الوثيقة: |
article in journal/newspaper |
اللغة: |
unknown |
DOI: |
10.3389/fmed.2021.736028 |
DOI: |
10.3389/fmed.2021.736028/full |
الإتاحة: |
https://doi.org/10.3389/fmed.2021.736028Test |
حقوق: |
https://creativecommons.org/licenses/by/4.0Test/ |
رقم الانضمام: |
edsbas.8A2BF821 |
قاعدة البيانات: |
BASE |