Department of Infectious Diseases and Clinical Microbiology, Suleyman Demirel University, Faculty of Medicine, Isparta, Turkey.
Department of Otorhinolaryngology and Head & Neck Surgery, Suleyman Demirel University, Faculty of Medicine, Isparta, Turkey.
Indian J Med Res. 2024 Jun;159(6):637-643. doi: 10.25259/ijmr_940_23.
Background & objectives Acute tonsillitis is a disease that can often be cured with medical treatment. However, complications may occur during this disease process. One of these complications is peritonsillar abscess. In recent years, biomarkers have been frequently used in the diagnosis of diseases. The aim of the study was to reveal whether peritonsillar abscess develops after acute tonsillitis, and acute tonsillitis can be differentiated using biomarkers and which biomarker has higher predictive value for this differentiation. Methods The control group consisted of individuals who were operated for septoplasty in the otolaryngology clinic, and the acute tonsillitis group consisted of individuals diagnosed with acute tonsillitis in the same clinic. Both groups were statistically compared in terms of mean platelet volume (MPV), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune inflammation index (SII), infection discrimination index (IDI), plateletcrit (PCT) and lymphocyte to monocyte ratio (LMR) biomarkers. Statistically, significant biomarker values were compared between the subgroups in the tonsillitis group of those who had only acute tonsillitis and those who had peritonsillar abscess due to acute tonsillitis. Receiver operating characteristics (ROC) curve analysis was performed on biomarkers for their ability to predict the presence of peritonsillar abscess. Results When the individuals who had only acute tonsillitis and those who had acute tonsillitis with peritonsillar abscess were compared in terms of biomarkers, there was a statistically significant difference between the mean MPV, SII and PCT (P=0.010, 0.021, 0.023, respectively). ROC analysis was performed to calculate the sensitivity and specificity of MPV, PCT and SII for the diagnosis of acute tonsillitis with peritonsillar abscess (sensitivity-specificity for MPV 51.9-72.7%, for SII 94.2-32.7%, for PCT 71.2-50.9%, respectively). Interpretation & conclusions MPV, SII and PCT biomarkers may be useful to help clinicians predict peritonsillar abscess due to acute tonsillitis.
急性扁桃体炎通常可以通过医疗治疗治愈，但在疾病过程中可能会出现并发症，其中之一是扁桃体周脓肿。近年来，生物标志物在疾病诊断中被频繁使用。本研究旨在揭示急性扁桃体炎后是否会发展为扁桃体周脓肿，以及是否可以使用生物标志物来区分急性扁桃体炎，哪种生物标志物对这种区分具有更高的预测价值。
对照组由耳鼻喉科诊所行鼻中隔成形术的个体组成，急性扁桃体炎组由同一诊所诊断为急性扁桃体炎的个体组成。对两组的平均血小板体积（MPV）、中性粒细胞与淋巴细胞比值（NLR）、血小板与淋巴细胞比值（PLR）、全身性免疫炎症指数（SII）、感染鉴别指数（IDI）、血小板压积（PCT）和淋巴细胞与单核细胞比值（LMR）生物标志物进行统计比较。在急性扁桃体炎组中，对仅患有急性扁桃体炎和因急性扁桃体炎而患有扁桃体周脓肿的亚组进行了统计学比较，比较了这些亚组之间生物标志物的统计显著值。对生物标志物进行了接收者操作特征（ROC）曲线分析，以评估其预测扁桃体周脓肿存在的能力。
当比较仅患有急性扁桃体炎和因急性扁桃体炎而患有扁桃体周脓肿的个体的生物标志物时，MPV、SII 和 PCT 之间存在统计学显著差异（分别为 P=0.010、0.021 和 0.023）。对 MPV、PCT 和 SII 进行了 ROC 分析，以计算这些生物标志物诊断伴扁桃体周脓肿的急性扁桃体炎的敏感性和特异性（MPV 的敏感性-特异性为 51.9%-72.7%，SII 的敏感性-特异性为 94.2%-32.7%，PCT 的敏感性-特异性为 71.2%-50.9%）。
MPV、SII 和 PCT 生物标志物可能有助于临床医生预测因急性扁桃体炎引起的扁桃体周脓肿。
