Ferritin level : a predictor of severity and mortality in hospitalized COVID-19 patients

Alroomi, Moudhi and Rajan, Rajesh and Omar, Abdulaziz A. and Alsaber, Ahmad and Pan, Jiazhu and Fatemi, Mina and Zhanna, Kobalava D. and Aboelhassan, Wael and Almutairi, Farah and Alotaibi, Naser and Saleh, Mohammad A. and AlNasrallah, Noor and Al-Bader, Bader and Malhas, Haya and Ramadhan, Maryam and Abdullah, Mohammed and Abdelnaby, Hassan (2021) Ferritin level : a predictor of severity and mortality in hospitalized COVID-19 patients. Immunity, Inflammation and Disease, 9 (4). pp. 1648-1655. ISSN 2050-4527

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    Abstract

    Introduction: This study aims to investigate in-hоsрitаl mоrtаlity in severe асute resрirаtоry syndrоme соrоnаvirus 2 раtients strаtified by serum ferritin levels. Methods: Patients were stratified based on ferritin levels (ferritin levels ≤ 1000 or >1000). Results: Approximately 89% (118) of the patients with ferritin levels > 1000 had pneumonia, and 51% (67) had hypertension. Fever (97, 73.5%) and shortness of breath (80, 61%) were two major symptoms among the patients in this group. Logistic regression analysis indicated that ferritin level (odds ratio [OR] = 0.36, 95% confidence interval [CI] = 0.21–0.62; p <.001), male sex (OR = 2.63, 95% CI = 1.43–5.06; p =.003), hypertension (OR = 4.16, 95% CI = 2.42–7.36; p <.001) and pneumonia (OR = 8.48, 95% CI = 3.02–35.45; p <.001) had significance in predicting in-hospital mortality. Additionally, the Cox proportional hazards analysis and Kaplan–Meier survival probability plot showed a higher mortality rate among patients with ferritin levels > 1000. Conclusion: In this study, higher levels of serum ferritin were found to be an independent predictor of in-hоsрitаl mоrtаlity.

    ORCID iDs

    Alroomi, Moudhi, Rajan, Rajesh, Omar, Abdulaziz A., Alsaber, Ahmad ORCID logoORCID: https://orcid.org/0000-0001-9478-0404, Pan, Jiazhu ORCID logoORCID: https://orcid.org/0000-0001-7346-2052, Fatemi, Mina, Zhanna, Kobalava D., Aboelhassan, Wael, Almutairi, Farah, Alotaibi, Naser, Saleh, Mohammad A., AlNasrallah, Noor, Al-Bader, Bader, Malhas, Haya, Ramadhan, Maryam, Abdullah, Mohammed and Abdelnaby, Hassan;