Procalcitonin/albumin ratio as a novel biomarker for predicting mortality in COVID-19
Yükleniyor...
Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
JPMS Publication
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Background: Coronavirus disease 2019 (COVID-19) first appeared in China in December 2019, and has become a global pandemic. Because the clinical progression of the disease is highly variable, better prediction of prognosis and mortality is important. In the present study, we investigated the role of procalcitonin/albumin ratio (PAR) as a new biomarker in predicting mortality in patients with COVID-19 infection. Methods: In this study, patients with COVID-19 diagnosis were enrolled from Sakarya Yenikent State Hospital and Ayancik State Hospital between 09.11.2020 and 04.05.2021. The demographic characteristics, biochemical and hematological parameters such as age, gender, length of hospital stay, and comorbidities of the patients were collected retrospectively from medical records. Results: Of the 105 patients, 51 were mild and 54 were critically ill. Between mild and critical cases, age, lymphocyte count, red cell distribution width, neutrophile count, mean corpuscular volume (MCV), monocvte count, albumin, C-reactive protein, ferritin, procalcitonin, D-dimer, and PAR were statistically different (p<0.001 for all). All patients in the critical group and only 2% of the mild group died. PAR showed the largest area under the curve (0.949) for the prediction of mortality (p<0.001). Conclusion: We report that PAR, a simple, cheap, and easily accessible biomarker, can be used to predict the prognosis in patients with COVID-19 infection.
Açıklama
Anahtar Kelimeler
COVID-19, Procalcitonin/Albumin Ratio, Mortality, Prognosis, Serum Procalcitonin, Laboratory Findings
Kaynak
Journal of Pioneering Medical Sciences
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
11
Sayı
1
Künye
Ergenç, H., Ergenç, Z., Öztürk, C. K., Gozdas, H. T., Ocak, Ö. K., & İnce, Ö. (2022). Procalcitonin/albumin ratio as a novel biomarker for predicting mortality in COVID-19. J Pioneering Med Sci, 11(1), 3-7.
