Multi-inflammatory index as a novel mortality predictor in critically Ill COVID-19 patients

Yükleniyor...
Küçük Resim

Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Sage Publications Inc

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

Aim Systemic inflammation has a crucial role in the pathogenesis and mortality of Coronavirus disease 2019 (COVID-19). Multi-inflammatory index (MII) is a novel index related with systemic inflammation. In this study, we investigated the relationship between MII and in-hospital mortality in COVID-19 patients admitted to the intensive care unit (ICU). Methods We retrospectively analyzed the medical records of COVID-19 patients followed-up in the ICU of our institution between 01.04.2020 and 01.10.2021. Patients were classified into two groups according to mortality status as survivors and non-survivors. Various inflammatory parameters of the groups were compared and their efficacy in predicting mortality was investigated. Results Out of 348 study patients, 86 cases (24.7%) were in the survived group and 262 cases (75.3%) were in the dead group. The median age of the mortal group was significantly higher than that of the survived group (65.5 vs 76, P < .001). Multiple logistic regression analysis revealed that among all the included inflammatory parameters, MII showed the best efficacy for predicting mortality (OR: 0.999; 95% CI: 0.9991-0.9998; P = .003). Conclusion MII, a new combination of Neutrophil to lymphocyte ratio (NLR) and C-reactive protein (CRP), is a simple and practical biomarker that can help us in the prediction of mortality in COVID-19 patients followed-up in the ICU.

Açıklama

Anahtar Kelimeler

Coronavirus Disease 2019, Mortality, Intensive Care Unit, Multi-Inflammatory Index, Neutrophil

Kaynak

Journal of Intensive Care Medicine

WoS Q Değeri

Q3

Scopus Q Değeri

Q1

Cilt

37

Sayı

11

Künye

Gozdas, H. T., Kayis, S. A., Damarsoy, T., Ozsari, E., Turkoglu, M., Yildiz, I., & Demirhan, A. (2022). Multi-inflammatory index as a novel mortality predictor in critically Ill COVID-19 patients. Journal of Intensive Care Medicine, 37(11), 1480-1485.