Division of Emergency Medicine, Boston Children's Hospital, Boston, Massachusetts.
Division of Emergency Medicine, Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri.
Hosp Pediatr. 2024 Dec 1;14(12):992-1000. doi: 10.1542/hpeds.2024-007848.
Clinical prediction models for pediatric community-acquired pneumonia (CAP) may standardize management. Understanding physician risk thresholds is important for model implementation. We aimed to elucidate physician-derived thresholds for chest radiograph performance and empirical antibiotic treatment of CAP among children presenting to the emergency department with respiratory illness before and after knowledge of results of a validated clinical prediction model.
Pediatric emergency physicians were surveyed through the American Academy of Pediatrics Pediatric Emergency Medicine Collaborative Research Committee and provided 8 clinical vignettes for children with respiratory symptoms. Respondents were asked to indicate their probability of radiographic CAP and choose whether they would obtain a chest radiograph or give empirical antibiotics before and after being provided with the probability of radiographic CAP based on a validated prediction model. We used logistic regression to establish testing and treatment thresholds, defined as the disease probability at which half of physicians acted.
Two-hundred and eight (44.3%) of 469 physicians completed the survey. Most were attending physicians (96.0%) practicing in a freestanding children's hospital (76.8%). Testing and treatment thresholds for CAP were 17.6% (95% confidence interval [CI] 16.4% to 18.8%) and 66.1% (95% CI 60.1% to 72.5%), respectively, before knowledge of the model-estimated probability. With knowledge of the prediction model, testing and treatment thresholds were 13.5% (95% CI 12.3% to 14.7%) and 58.0% (95% CI 53.2-62.8).
We elucidated physician thresholds for testing and treatment of CAP, which may be integrated into future pneumonia risk models to improve acceptability and incorporation into practice.
儿科社区获得性肺炎(CAP)的临床预测模型可使管理标准化。了解医生的风险阈值对于模型的实施很重要。我们旨在阐明在了解验证后的临床预测模型的结果之前和之后,儿科急诊医生对儿童出现呼吸道疾病就诊时的胸片表现和经验性抗生素治疗 CAP 的风险阈值。
通过美国儿科学会儿科急诊医学合作研究委员会对儿科急诊医生进行调查,并提供了 8 个有呼吸道症状的儿童临床病例。在提供基于验证后的预测模型的 CAP 胸片概率后,要求受访者表明他们认为胸片 CAP 的概率,并选择是否进行胸部 X 光检查或给予经验性抗生素治疗。我们使用逻辑回归来建立检测和治疗阈值,定义为有一半医生采取行动的疾病概率。
469 名医生中有 208 名(44.3%)完成了调查。大多数是主治医生(96.0%),在独立的儿童医院(76.8%)工作。在了解模型估计概率之前,CAP 的检测和治疗阈值分别为 17.6%(95%置信区间[CI] 16.4%至 18.8%)和 66.1%(95%CI 60.1%至 72.5%)。有了预测模型的知识,检测和治疗阈值分别为 13.5%(95%CI 12.3%至 14.7%)和 58.0%(95%CI 53.2%-62.8%)。
我们阐明了医生对 CAP 检测和治疗的阈值,这可能会被整合到未来的肺炎风险模型中,以提高其可接受性和纳入实践。