Department of Dermatology, Massachusetts General Hospital, Boston, MA.
Divisions of Hospital Medicine and Infectious Disease, Department of Pediatrics, Massachusetts General Hospital for Children, Boston, MA; Harvard Medical School, Boston, MA.
J Pediatr. 2023 Nov;262:113581. doi: 10.1016/j.jpeds.2023.113581. Epub 2023 Jun 22.
To assess cellulitis in the neonatal intensive care unit (NICU) setting and identify risk factors for its disease severity and whether cellulitis influences length of stay (LOS).
In this retrospective study, patients with cellulitis were identified using the electronic health record while admitted to the NICU at Massachusetts General for Children from January 2007 to December 2020. Demographic and clinical data were extracted from patient records. Two multivariable logistic regression models were constructed to assess for independent predictors for increased LOS (≥30 days) and complicated cellulitis in the hospital.
Eighty-four patients met the study criteria; 46.4% were older than 14 days at the time of diagnosis of cellulitis, 61.9% were non-White, and 83.3% were born prematurely; 48.8% had complicated cellulitis as defined by overlying hardware (41.7%), sepsis (7.1%), requirement for broadened antibiotic coverage (7.1%), bacteremia (4.8%), and/or abscess (3.6%). The mean hospital LOS was 58.5 ± 36.1 days SD, with 72.6% having a LOS greater than 30 days. Independent predictors of increased LOS were extreme prematurity (<28 weeks' gestation) (OR: 14.7, P = .03), non-White race (OR: 5.7, P = .03), and complicated cellulitis (OR: 6.4, P = .03). No significant predictors of complicated cellulitis were identified.
This study identifies complicated cellulitis in the NICU as an independent predictor of increased hospital LOS in neonates. Implementation of strategies to mitigate the development of cellulitis may decrease LOS among this high-risk population.
评估新生儿重症监护病房(NICU)中蜂窝织炎的情况,并确定其疾病严重程度的危险因素,以及蜂窝织炎是否会影响住院时间(LOS)。
在这项回顾性研究中,我们使用电子健康记录,在 2007 年 1 月至 2020 年 12 月期间,在马萨诸塞州综合儿童医院的 NICU 住院期间,确定患有蜂窝织炎的患者。从患者记录中提取人口统计学和临床数据。构建了两个多变量逻辑回归模型,以评估 LOS(≥30 天)和医院内复杂蜂窝织炎的独立预测因素。
84 名患者符合研究标准;46.4%的患者在诊断为蜂窝织炎时年龄超过 14 天,61.9%是非白人,83.3%是早产儿;48.8%的患者存在复杂蜂窝织炎,定义为有覆盖物的硬件(41.7%)、败血症(7.1%)、需要扩大抗生素覆盖范围(7.1%)、菌血症(4.8%)和/或脓肿(3.6%)。平均住院 LOS 为 58.5±36.1 天 SD,72.6%的患者 LOS 大于 30 天。增加 LOS 的独立预测因素包括极早产(<28 周妊娠)(OR:14.7,P=.03)、非白人种族(OR:5.7,P=.03)和复杂蜂窝织炎(OR:6.4,P=.03)。未发现复杂蜂窝织炎的显著预测因素。
本研究确定 NICU 中的复杂蜂窝织炎是新生儿住院时间延长的独立预测因素。实施减轻蜂窝织炎发展的策略可能会降低高危人群的 LOS。