Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Division of Infectious Diseases, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Pharmacoepidemiol Drug Saf. 2023 Aug;32(8):918-923. doi: 10.1002/pds.5617. Epub 2023 Apr 10.
Acute bacterial sinusitis is among the most frequent outpatient infections in children and adolescents and is well suited to study in large healthcare utilization databases, but the validity of International Classification of Diseases, 10th Revision (ICD-10) codes together with antibiotic prescriptions to identify cases of acute bacterial sinusitis has not been established. We aimed to evaluate the validity of ICD-10 codes combined with antibiotic prescriptions to identify new diagnoses of acute bacterial sinusitis among pediatric patients evaluated in the outpatient setting.
Children and adolescents aged 17 years and younger with an outpatient diagnosis of acute sinusitis along with an antibiotic prescription from an ambulatory facility affiliated with the Mass General Brigham health system were identified via a clinical data warehouse. Patients were stratified by age (0-5 years, 6-11 years, and 12-17 years), and 50 cases per age group were randomly sampled. Medical records were independently reviewed by two pediatric infectious diseases physicians to assess for the documentation of a clinician-defined diagnosis of acute bacterial sinusitis. Positive predictive values (PPVs) and 95% confidence intervals (CIs) were calculated.
A total of 150 patients were included in the final cohort. Frontal, maxillary, and "unspecified" sinuses accounted for 88% of the diagnoses. The positive predictive value of the algorithm to identify clinician-defined diagnoses of acute bacterial sinusitis was 92% (95% CI 87%, 95%). The PPVs were consistent across age strata.
ICD-10 codes for acute sinusitis, when paired with a same-day antibiotic prescription, have a high positive predictive value among a cohort of pediatric patients, suggesting that they can be used to study new acute bacterial sinusitis diagnoses with claims.
急性细菌性鼻窦炎是儿童和青少年中最常见的门诊感染之一,非常适合在大型医疗保健利用数据库中进行研究,但尚未确定国际疾病分类第 10 版 (ICD-10) 代码与抗生素处方联合用于识别急性细菌性鼻窦炎病例的有效性。我们旨在评估 ICD-10 代码与抗生素处方联合用于识别在门诊环境中评估的儿科患者新发急性细菌性鼻窦炎的有效性。
通过临床数据仓库,从与 Mass General Brigham 医疗系统附属的门诊设施开具抗生素处方的患有急性鼻窦炎的 17 岁及以下儿童和青少年中确定患有门诊诊断为急性鼻窦炎的患者。根据年龄(0-5 岁、6-11 岁和 12-17 岁)对患者进行分层,每个年龄组随机抽取 50 例。由两名儿科传染病医生独立审查病历,以评估是否有临床医生定义的急性细菌性鼻窦炎诊断记录。计算阳性预测值 (PPV) 和 95%置信区间 (CI)。
共有 150 名患者纳入最终队列。额窦、上颌窦和“未特指”窦占诊断的 88%。该算法识别临床医生定义的急性细菌性鼻窦炎诊断的阳性预测值为 92%(95%CI 87%,95%)。在不同年龄组中,PPV 是一致的。
在儿科患者队列中,急性鼻窦炎的 ICD-10 代码与同日开具的抗生素处方相结合,具有很高的阳性预测值,这表明它们可用于使用索赔研究新的急性细菌性鼻窦炎诊断。