• Ulus Travma Acil Cer · Dec 2022

    An effective and reliable marker in gradıng the severity of acute cholecystitis: Increased immature granulocyte percentage.

    • Yılmaz Ünal, Salih Tuncal, Berkay Küçük, Aziz Mutlu Barlas, Saygın Altıner, Recep Balık, Seyit Murat Aydın, Abdullah Senlikci, and Mevlüt Recep Pekcici.
    • Department of General Surgery, University of Health Sciences Ankara Training and Research Hospital, Ankara-Türkiye.
    • Ulus Travma Acil Cer. 2022 Dec 1; 28 (12): 171617221716-1722.

    BackgroundAcute cholecystitis (AC) is an acute inflammatory disease of gallbladder and it is one of the most common causes of acute abdominal pain. Determining the severity of AC at hospital admission is extremely important to choose the most effective treatment method and predict vital prognosis. The aim of this study was to investigate the effectiveness of immature granulocyte percentage (IG%) in grading AC severity.MethodsThis retrospective study was carried out on 528 patients hospitalized due to AC diagnosis. Demographic data, white blood cell (WBC) count, neutrophil lymphocyte ratio (NLR), IG%, C-reactive protein (CRP) levels, and imaging results of patients were recorded. Furthermore, patients' length of hospital stay was determined. Tokyo Guidelines were used to grade AC severity. According to this grading, patients were classified into three groups as grade 1 (mild), grade 2 (moderate), and grade 3 (severe) AC. Differences among groups were analyzed statistically.ResultsThere were 386 patients (73.1%) in the mild AC group, 102 patients (19.3%) in the moderate AC group, and 40 patients (7.6%) in the severe AC group. WBC, NLR, CRP and IG% were significant parameters in discriminating mild AC from moderate and severe AC. However, only IG% was a significant parameter in discriminating moderate AC from severe AC. Moreover, the power of IG% to discriminate between patients with mild and moderate AC and those with severe AC was dramatically higher than the other parameters.ConclusionIncreased IG% is seen as an effective and reliable predictor in the early determination of AC severity.

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