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预测小儿急性血源性骨髓炎的不良结局。

Prediction of Adverse Outcomes in Pediatric Acute Hematogenous Osteomyelitis.

机构信息

Department of Pediatrics, Division of Infectious Diseases, Warren Alpert Medical School of Brown University and Hasbro Children's Hospital, Providence, Rhode Island, USA.

Department of Pediatrics, Divisions of Neonatology and Pediatric Infectious Diseases, Center for Perinatal Research, Abigail Wexner Research Institute at Nationwide Children's Hospital, Nationwide Children's Hospital and The Ohio State University College of Medicine, Columbus, Ohio, USA.

出版信息

Clin Infect Dis. 2020 Dec 3;71(9):e454-e464. doi: 10.1093/cid/ciaa211.

Abstract

BACKGROUND

Clinicians cannot reliably predict complications of acute hematogenous osteomyelitis (AHO).

METHODS

Consecutive cases of AHO from 2 pediatric centers in the United States were analyzed retrospectively to develop clinical tools from data obtained within 96 hours of hospitalization to predict acute and chronic complications of AHO. Two novel composite prediction scores derived from multivariable logistic regression modeling were compared with a previously published severity of illness (SOI) score, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) using area under the receiver operating characteristic curve analyses.

RESULTS

The causative organisms were identified in 73% of 261 cases. Bacteremia (45%), abscesses (38%), and associated suppurative arthritis (23%) were relatively common. Acute or chronic complications occurred in 24% and 11% of patients, respectively. Multivariable logistic regression identified bone abscess (odds ratio [OR], 2.3 [95% confidence interval {CI}, 1.0-5.2]), fever > 48 hours (OR, 2.7 [95% CI, 1.2-6.0]), suppurative arthritis (OR, 3.2 [95% CI, 1.3-7.5]), disseminated disease (OR, 4.6 [95% CI, 1.5-14.3]), and delayed source control (OR, 5.1 [95% CI, 1.4-19.0]) as strong predictors of acute complications. In a separate model, CRP ≥ 100 mg/L at 2-4 days after antibiotics (OR, 2.7 [95% CI, 1.0-7.3]), disseminated disease (OR, 3.3 [95% CI, 1.1-10.0]), and requirement for bone debridement (OR, 6.7 [95% CI, 2.1-21.0]) strongly predicted chronic morbidity. These variables were combined to create weighted composite prediction scores for acute (A-SCORE) and chronic (C-SCORE) osteomyelitis, which were superior to SOI, CRP, and ESR and had negative predictive values > 90%.

CONCLUSIONS

Two novel composite clinical scores were superior to existing tools to predict complications of pediatric AHO.

摘要

背景

临床医生无法可靠地预测急性血源性骨髓炎(AHO)的并发症。

方法

回顾性分析了美国 2 个儿科中心的连续 AHO 病例,以从住院后 96 小时内获得的数据中开发出预测 AHO 急性和慢性并发症的临床工具。使用受试者工作特征曲线分析,将源自多变量逻辑回归建模的两个新的复合预测评分与先前发表的疾病严重程度(SOI)评分、C 反应蛋白(CRP)和红细胞沉降率(ESR)进行比较。

结果

在 261 例中,有 73%确定了病原体。菌血症(45%)、脓肿(38%)和相关化脓性关节炎(23%)相对常见。分别有 24%和 11%的患者发生急性或慢性并发症。多变量逻辑回归确定了骨脓肿(优势比[OR],2.3 [95%置信区间{CI},1.0-5.2])、发热 >48 小时(OR,2.7 [95%CI,1.2-6.0])、化脓性关节炎(OR,3.2 [95%CI,1.3-7.5])、播散性疾病(OR,4.6 [95%CI,1.5-14.3])和延迟源控制(OR,5.1 [95%CI,1.4-19.0])是急性并发症的强预测因素。在另一个模型中,抗生素后 2-4 天 CRP≥100mg/L(OR,2.7 [95%CI,1.0-7.3])、播散性疾病(OR,3.3 [95%CI,1.1-10.0])和需要进行骨清创术(OR,6.7 [95%CI,2.1-21.0])强烈预测慢性发病。将这些变量组合在一起,创建了用于急性(A-SCORE)和慢性(C-SCORE)骨髓炎的加权复合预测评分,这些评分优于 SOI、CRP 和 ESR,且阴性预测值>90%。

结论

两种新的复合临床评分优于现有工具,可预测儿科 AHO 的并发症。

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