Open AccessCan prognostic nutritional index and systemic immune‐inflammatory index predict disease severity in COVID‐19?
Author(s) -
Nalbant Ahmet,
Demirci Taner,
Kaya Tezcan,
Aydın Ayhan,
Altındiş Mustafa,
Güçlü Ertuğrul
Publication year - 2021
Publication title -
international journal of clinical practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 98
eISSN - 1742-1241
pISSN - 1368-5031
DOI - 10.1111/ijcp.14544
Subject(s) - medicine , intensive care unit , covid-19 , severity of illness , retrospective cohort study , systemic inflammation , gastroenterology , disease , inflammation , infectious disease (medical specialty)
Background Prognostic nutritional index (PNI) and systemic immune‐inflammatory index (SII) are inflammation‐based novel markers that predict the prognosis in various patient populations. We have investigated the relationship between the disease severity in COVID‐19, and the PNI and SII scores in the present study. Materials and Methods This cross‐sectional retrospective study included 118 hospitalised patients with a confirmed diagnosis of COVID‐19. The patients were divided into two groups as those who were hospitalised at the intensive care unit (ICU) and those who had been internalised at the clinic (non‐ICU). Results Of the 118 patients, 50.8% were male. The mean age was 57.7 ± 17.5 years in non‐ICU patients and 70.3 ± 11.7 years in ICU patients and the difference was statistically significant ( P < .001). The lymphocyte count and the albumin levels were significantly lower in ICU patients ( P < .001, P < .001, respectively). The PNI score was significantly lower in ICU patients compared with non‐ICU patients ( P < .001). The SII score was found to be significantly higher in ICU patients compared with non‐ICU patients ( P < .001). The value of PNI and SII scores in prediction of the disease severity in COVID‐19 was evaluated with the ROC analysis (PNI: AUC = 0.796, 95%CI: 0.715‐0.877, P < .001; SII: AUC =0.689, 95% CI: 0.559‐0.819, P =.004). When the cut‐off value was taken as ≤36.7 for the PNI score, it was found to have 73.4% sensitivity and 70.8% specificity for predicting of the disease severity and ICU admission probability was 4.4 times higher. When the cut‐off value was taken as ≥813.6 for SII score, it was found to have 70.8% sensitivity and 66.0% specificity for predicting of the disease severity and ICU admission probability was six times higher. Conclusion The PNI and the SII scores are independent predictors of the prognosis and the disease severity in COVID‐19 patients who require hospitalisation at the ICU.