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Predictive Role of Biomarkers in COVID-19 Mortality      
Yazarlar
Doç. Dr. Ayşe YILMAZ Doç. Dr. Ayşe YILMAZ
Kastamonu Üniversitesi, Türkiye
Doç. Dr. Öztürk TAŞKIN Doç. Dr. Öztürk TAŞKIN
Kastamonu Üniversitesi, Türkiye
Doç. Dr. Ufuk DEMİR Doç. Dr. Ufuk DEMİR
Kastamonu Üniversitesi, Türkiye
Doç. Dr. Veysel Garani SOYLU Doç. Dr. Veysel Garani SOYLU
Kastamonu Üniversitesi, Türkiye
Özet
Background The coronavirus disease 2019 (COVID-19) pandemic has resulted in high mortality among patients in critical intensive care units. Hence, identifying mortality markers in the follow-up and treatment of these patients is essential. This study aimed to evaluate the relationships between mortality rates in patients with COVID-19 and the neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), systemic inflammation response index (SII), and systemic inflammatory response index (SIRI). Methodology In this study, we assessed 466 critically ill patients diagnosed with COVID-19 in the adult intensive care unit of Kastamonu Training and Research Hospital. Age, gender, and comorbidities were recorded at the time of admission along with NLR, dNLR, MLR, PLR, SII, and SIRI values from hemogram data. Acute Physiology and Chronic Health Evaluation II (APACHE II) scores and mortality rates over 28 days were recorded. Patients were divided into survival (n = 128) and non-survival (n = 338) groups according to 28-day mortality. Results A statistically significant difference was found between leukocyte, neutrophil, dNLR, APACHE II, and SIRI parameters between the surviving and non-surviving groups. A logistic regression analysis of independent variables of 28-day mortality identified significant associations between dNLR (p = 0.002) and APACHE II score (p < 0.001) and 28-day mortality. Conclusions Inflammatory biomarkers and APACHE II score appear to be good predictive values for mortality in COVID-19 infection. The dNLR value was more effective than other biomarkers in estimating mortality due to COVID-19. In our study, the cut-off value for dNLR was 3.64.
Anahtar Kelimeler
covid-19 | derived neutrophil-lymphocyte ratio | intensive care | neutrophil-lymphocyte ratio | systemic inflammatory response index
Makale Türü Özgün Makale
Makale Alt Türü ESCI dergilerinde yayımlanan tam makale
Dergi Adı CUREUS JOURNAL OF MEDICAL SCIENCE
Dergi ISSN 2168-8184
Dergi Tarandığı Indeksler Emerging Sources Citation Index (ESCI)
Makale Dili İngilizce
Basım Tarihi 01-2023
Cilt No 15
Sayı 1
Doi Numarası 10.7759/cureus.34173
Makale Linki http://dx.doi.org/10.7759/cureus.34173
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
WoS 7
Google Scholar 12
Predictive Role of Biomarkers in COVID-19 Mortality

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