Determining the effectiveness of the immature granulocyte percentage and systemic immune-inflammation index in predicting acute pyelonephritis

• Published in: Postgraduate medicine Vol. 135; no. 2; p. 155
• Main Authors: Karakaya, Deniz, Güngör, Tülin, Cakıcı, Evrim Kargın, Yazılıtaş, Fatma, Celikkaya, Evra, Bulbul, Mehmet
• Format: Journal Article
• Language: English
• Published: England 17.02.2023
• Subjects: Acute Disease; C-Reactive Protein - analysis; Child; Child, Preschool; Granulocytes; Humans; Infant; Inflammation; Pyelonephritis; Urinary Tract Infections; systemic immune-inflammation index; Children; immature granulocyte percentage; urinary tract infections
• ISSN: 1941-9260
• DOI: 10.1080/00325481.2022.2152970

The most serious form of urinary tract infection (UTI) is acute pyelonephritis (APN), which can result in bacteremia and renal scarring. This study aims to show the roles that the systemic immune-inflammation index (SII) and the immature granulocyte (IG) percentage play in predicting APN in pediatric patients by comparing them with traditional infection markers. By illustrating a significant relationship between APN, the IG percentage, and the SII, the study's contributions to the differential diagnosis of UTI can promote a rapid and appropriate treatment of APN. The present study included 522 pediatric patients. The patients were divided into two groups: (I) an APN group (n = 236) and (II) a lower UTI group (n = 286). The mean age of the sample was 5.05 ± 4.7 years. According to the most appropriate cutoff values, the findings showed that among all the parameters, C-reactive protein (CRP) and the IG percentage had the highest sensitivities, specificities, and predictive values for predicting APN. This study emphasizes the support features of the IG percentage and the SII in the diagnosis of APN in pediatric patients, a topic that has recently attracted attention. The findings indicated that among all of the parameters behind CRP, the IG percentage and the SII had the highest sensitivities, specificities, and predictive values for forecasting APN. It is worth noting that these methods can be applied without additional costs or burdens to the patient.