Kuo Tsu Jen, Hsu Chiao-Lin, Liao Pei-Hsun, Huang Shih-Ju, Hung Yao-Min, Yin Chun-Hao
Department of Stomatology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Department of Marine Biotechnology and Resources, National Sun Yat-sen University, Kaohsiung, Taiwan.
PLoS One. 2020 Jul 6;15(7):e0235069. doi: 10.1371/journal.pone.0235069. eCollection 2020.
Pneumonia is the leading cause of death among children and young people (CYP) with severe cerebral palsy (CP). Only a few studies used nomogram for assessing risk factors and the probability of pneumonia. Therefore, we aimed to identify risk factors and devise a nomogram for identifying the probability of severe pneumonia in CYP with severe CP.
This retrospective nationwide population-based cohort study examined CYP with newly diagnosed severe CP before 18 years old between January 1st, 1997 and December 31st, 2013 and followed them up through December 31st, 2013. The primary endpoint was defined as the occurrence of severe pneumonia with ≥ 5 days of hospitalization. Logistic regression analysis was used for determining demographic factors and comorbidities associated with severe pneumonia. These factors were assigned integer points to create a scoring system to identify children at high risk for severe pneumonia.
Among 6,356 CYP with newly diagnosed severe CP, 2,135 (33.59%) had severe pneumonia. Multivariable logistic regression analysis revealed that seven independent predictive factors, namely age <3 years, male sex, and comorbidities of pressure ulcer, gastroesophageal reflux, asthma, seizures, and perinatal complications. A nomogram was devised by employing these seven significant predictive factors. The prediction model presented favorable discrimination performance.
The nomogram revealed that age, male sex, history of pressure ulcer, gastroesophageal reflux, asthma, seizures, and perinatal complications were potential risk factors for severe pneumonia among CYP with severe CP.
肺炎是重度脑瘫(CP)儿童和青少年(CYP)死亡的主要原因。仅有少数研究使用列线图评估危险因素及肺炎发生概率。因此,我们旨在确定重度CP的CYP发生重症肺炎的危险因素并设计列线图以识别其发生概率。
这项基于全国人群的回顾性队列研究,对1997年1月1日至2013年12月31日期间新诊断为重度CP且年龄在18岁以下的CYP进行研究,并随访至2013年12月31日。主要终点定义为住院≥5天的重症肺炎的发生。采用逻辑回归分析确定与重症肺炎相关的人口统计学因素和合并症。为这些因素赋予整数分值以创建评分系统,识别重症肺炎高危儿童。
在6356例新诊断为重度CP的CYP中,2135例(33.59%)发生了重症肺炎。多变量逻辑回归分析显示,七个独立预测因素,即年龄<3岁、男性以及压疮、胃食管反流、哮喘、癫痫和围产期并发症等合并症。利用这七个显著预测因素设计了列线图。该预测模型具有良好的辨别性能。
列线图显示,年龄、男性、压疮病史、胃食管反流、哮喘、癫痫和围产期并发症是重度CP的CYP发生重症肺炎的潜在危险因素。