Children's Hospital of Soochow University, Department of Orthopaedics, Suzhou, Jiangsu Province, China.
Shanghai Jiao Tong University, School of Medicine, Shanghai Children's Hospital, Department of Orthopaedics, Shanghai, China.
J Pediatr (Rio J). 2024 Sep-Oct;100(5):533-538. doi: 10.1016/j.jped.2024.04.002. Epub 2024 Apr 25.
Platelet to albumin ratio (PAR) and prognostic nutritional index (PNI) are potential indicators for evaluating nutritional and inflammatory status. This study aimed to examine the relationship between PAR and PNI and the acute complicated course of acute hematogenous osteomyelitis (AHO).
AHO patients were divided into the simple course group and the acute complicated course group. The patient's gender, age, site of infection, body temperature, laboratory results, and pathogen culture results were collected and compared. Multivariate logistic regression analysis was used to determine the independent risk factors of the acute complicated course group. The receiver operating characteristic curve was applied to determine the optimal cut-off value.
In total, 101 AHO patients with a median age of 7.58 years were included. There were 63 cases (62.4 %) in the simple course group and 38 cases (37.6 %) in the complicated course group. Binary logistic regression analysis revealed that PAR and PNI were independent risk factors for predicting the acute complicated course of AHO (p = 0.004 and p < 0.001, respectively). Receiver operating characteristic curve analysis demonstrated that the combination of PAR and PNI had an area under the curve of 0.777 (95 % CI: 0.680-0.873, p < 0.001) with a cut-off value of 0.51.
The incidence of acute complicated courses was significantly higher in patients with high PAR and low PNI. A combined factor greater than 0.51, derived from PAR and PNI measurements within 24 h of admission, may be useful for predicting AHO patients who are likely to develop severe disease.
血小板与白蛋白比值(PAR)和预后营养指数(PNI)是评估营养和炎症状态的潜在指标。本研究旨在探讨 PAR 和 PNI 与急性血源性骨髓炎(AHO)的急性复杂病程之间的关系。
将 AHO 患者分为单纯病程组和急性复杂病程组。收集并比较患者的性别、年龄、感染部位、体温、实验室结果和病原体培养结果。采用多因素 logistic 回归分析确定急性复杂病程组的独立危险因素。应用受试者工作特征曲线确定最佳截断值。
共纳入 101 例 AHO 患者,中位年龄为 7.58 岁。单纯病程组 63 例(62.4%),复杂病程组 38 例(37.6%)。二元 logistic 回归分析显示,PAR 和 PNI 是预测 AHO 急性复杂病程的独立危险因素(p = 0.004 和 p < 0.001)。受试者工作特征曲线分析表明,PAR 和 PNI 联合的曲线下面积为 0.777(95%CI:0.680-0.873,p < 0.001),截断值为 0.51。
PAR 升高和 PNI 降低的患者急性复杂病程发生率显著升高。入院 24 小时内测量的 PAR 和 PNI 联合因子大于 0.51,可能有助于预测可能发生严重疾病的 AHO 患者。