• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

儿科复杂性肺炎住院时间延长的预测因素。

Predictors of Prolonged Hospitalizations in Pediatric Complicated Pneumonia.

机构信息

Department of Pediatrics and Pediatric Pulmonology, Hadassah-Hebrew University Medical Center, The Hebrew University, Jerusalem, Israel.

Pediatric Pulmonology Unit, Shaare Zedek Medical Center, The Hebrew University, Jerusalem, Israel.

出版信息

Chest. 2018 Jan;153(1):172-180. doi: 10.1016/j.chest.2017.09.021. Epub 2017 Sep 21.

DOI:10.1016/j.chest.2017.09.021
PMID:28943281
Abstract

BACKGROUND

Pediatric community-acquired complicated pneumonia (PCACP) is characterized by a prolonged clinical course, but this may be highly variable.

METHODS

A multicenter observational study was conducted to develop and validate a clinical prediction tool for prolonged hospitalizations in PCACP. The derivation and validation cohorts consisted of 144 and 169 patients with PCACP, respectively, hospitalized between the years 1997 and 2017 in three tertiary care hospitals. Logistic regression analyses were used to identify parameters associated with a prolonged hospitalization and to develop and validate a prediction model for constructing a useful clinical tool.

RESULTS

Higher levels of lactate dehydrogenase (LDH) (P < .026) and lower levels of glucose (P = .018) in pleural fluid were significantly associated with prolonged hospitalization. A predictive stepwise logistic regression model was developed and applied to the validation cohort. The area under the receiver operating characteristic curve (AUROC) constructed indicated that the model retained good predictive value (AUROC for the derivation vs validation data, [0.77 (95% CI, 0.66-0.87) vs 0.82 (95% CI, 0.72-0.91)], respectively). From these data, a clinical tool was derived; the combination of pleural LDH >1,000 units/L and pleural glucose levels < 1 mmol/L or pleural LDH levels > 2,000 units/L and pleural glucose levels < 2 mmol/L or pleural LDH levels > 3,000 units/L and pleural glucose < 3 mmol/L predict prolonged hospitalization with positive and negative predictive values of 78% (95% CI, 0.71-0.85) and 73% (95% CI, 0.59-0.85), respectively.

CONCLUSIONS

In children, pleural fluid LDH and glucose levels are useful parameters for assessing the severity of PCACP. The model developed in this study accurately predicts patients who will have prolonged hospitalization.

摘要

背景

小儿社区获得性复杂性肺炎(PCACP)的临床病程较长,但这可能高度可变。

方法

进行了一项多中心观察性研究,以开发和验证用于 PCACP 患者住院时间延长的临床预测工具。推导和验证队列分别由 1997 年至 2017 年在 3 家三级保健医院住院的 144 名和 169 名 PCACP 患者组成。使用逻辑回归分析来确定与住院时间延长相关的参数,并开发和验证用于构建有用临床工具的预测模型。

结果

胸腔积液中乳酸脱氢酶(LDH)水平较高(P<.026)和葡萄糖水平较低(P=.018)与住院时间延长显著相关。开发了一个预测性逐步逻辑回归模型,并将其应用于验证队列。构建的接受者操作特征曲线(ROC)下面积(AUROC)表明,该模型保留了良好的预测价值(推导与验证数据的 AUROC,[0.77(95%CI,0.66-0.87)与 0.82(95%CI,0.72-0.91)])。根据这些数据,得出了一个临床工具;胸腔积液 LDH>1000 单位/L 和胸腔葡萄糖水平<1mmol/L 或胸腔 LDH 水平>2000 单位/L 和胸腔葡萄糖水平<2mmol/L 或胸腔 LDH 水平>3000 单位/L 和胸腔葡萄糖<3mmol/L 的组合可预测住院时间延长,其阳性预测值和阴性预测值分别为 78%(95%CI,0.71-0.85)和 73%(95%CI,0.59-0.85)。

结论

在儿童中,胸腔积液 LDH 和葡萄糖水平是评估 PCACP 严重程度的有用参数。本研究中开发的模型可准确预测住院时间延长的患者。

相似文献

1
Predictors of Prolonged Hospitalizations in Pediatric Complicated Pneumonia.儿科复杂性肺炎住院时间延长的预测因素。
Chest. 2018 Jan;153(1):172-180. doi: 10.1016/j.chest.2017.09.021. Epub 2017 Sep 21.
2
Risk factors for complicated parapneumonic effusion and empyema on presentation to hospital with community-acquired pneumonia.社区获得性肺炎患者入院时并发复杂性类肺炎性胸腔积液和脓胸的危险因素。
Thorax. 2009 Jul;64(7):592-7. doi: 10.1136/thx.2008.105080. Epub 2009 Jan 8.
3
Complicated community acquired pneumonia in childhood: Different types, clinical course, and outcome.儿童复杂性社区获得性肺炎:不同类型、临床病程及转归
Pediatr Pulmonol. 2017 Feb;52(2):247-254. doi: 10.1002/ppul.23523. Epub 2016 Jul 8.
4
Correlation between levels of tumour necrosis factor-alpha and levels of pH, glucose, and lactate dehydrogenase in parapneumonic effusions.脓胸积液中肿瘤坏死因子-α水平与pH值、葡萄糖及乳酸脱氢酶水平的相关性
J Infect. 2005 Feb;50(2):114-9. doi: 10.1016/j.jinf.2004.05.016.
5
Tumor necrosis factor-alpha in pleural fluid: a marker of complicated parapneumonic effusions.胸腔积液中的肿瘤坏死因子-α:复杂性类肺炎性胸腔积液的一个标志物
Chest. 2004 Jan;125(1):160-4. doi: 10.1378/chest.125.1.160.
6
Predicting Complicated Parapneumonic Effusion in Community Acquired Pneumonia: Hospital Based Case-Control Study.预测社区获得性肺炎合并脓胸的发生:一项基于医院的病例对照研究。
Indian J Pediatr. 2019 Feb;86(2):140-147. doi: 10.1007/s12098-018-2769-y. Epub 2018 Sep 4.
7
Pleural fluid interleukin-8 and C-reactive protein for discriminating complicated non-purulent from uncomplicated parapneumonic effusions.用于鉴别复杂性非脓性与非复杂性类肺炎性胸腔积液的胸腔积液白细胞介素-8和C反应蛋白
Respirology. 2008 Jan;13(1):58-62. doi: 10.1111/j.1440-1843.2007.01189.x.
8
Relationship between plasma copeptin levels and complications of community-acquired pneumonia in preschool children.血浆copeptin 水平与学龄前儿童社区获得性肺炎并发症的关系。
Peptides. 2013 Jul;45:61-5. doi: 10.1016/j.peptides.2013.04.015. Epub 2013 May 6.
9
Pleural fluid chemical analysis in parapneumonic effusions. A meta-analysis.肺炎旁胸腔积液的胸腔积液化学分析。一项荟萃分析。
Am J Respir Crit Care Med. 1995 Jun;151(6):1700-8. doi: 10.1164/ajrccm.151.6.7767510.
10
A Simple Method for Differentiating Complicated Parapneumonic Effusion/Empyema from Parapneumonic Effusion Using the Split Pleura Sign and the Amount of Pleural Effusion on Thoracic CT.一种利用胸腔CT上的胸膜分裂征和胸腔积液量来鉴别复杂性类肺炎性胸腔积液/脓胸与类肺炎性胸腔积液的简单方法。
PLoS One. 2015 Jun 15;10(6):e0130141. doi: 10.1371/journal.pone.0130141. eCollection 2015.

引用本文的文献

1
Parapneumonic Effusion Versus Pulmonary Empyema in Children: Analysis of Risk Factors and Laboratory Predictors Through a Single Center Experience.儿童类肺炎性胸腔积液与肺脓肿:基于单中心经验的危险因素及实验室预测指标分析
Children (Basel). 2025 Aug 21;12(8):1103. doi: 10.3390/children12081103.
2
The correlation between inflammatory markers and postoperative pulmonary infection in patients with aneurysmal subarachnoid hemorrhage and the construction of prediction model.动脉瘤性蛛网膜下腔出血患者炎症标志物与术后肺部感染的相关性及预测模型构建
Front Neurol. 2025 Jun 24;16:1563106. doi: 10.3389/fneur.2025.1563106. eCollection 2025.
3
Diagnostic and Therapeutic Approach in Pediatric Pulmonary Abscess: Two Cases and Literature Review.
小儿肺脓肿的诊断与治疗方法:两例病例及文献综述
J Clin Med. 2024 Dec 20;13(24):7790. doi: 10.3390/jcm13247790.
4
Association between lactate dehydrogenase and ventilator-associated pneumonia risk: an analysis of the MIMIC database 2001-2019.乳酸脱氢酶与呼吸机相关性肺炎风险的关系:对 MIMIC 数据库 2001-2019 年的分析。
BMC Pulm Med. 2024 Jun 6;24(1):273. doi: 10.1186/s12890-024-03084-9.
5
Diagnosis and Therapy of Community-Acquired Pneumonia in the Emergency Department: A Retrospective Observational Study and Medical Audit.急诊科社区获得性肺炎的诊断与治疗:一项回顾性观察研究及医疗审核
J Clin Med. 2024 Jan 19;13(2):574. doi: 10.3390/jcm13020574.
6
Predictors of Length of Stay, Rehospitalization and Mortality in Community-Acquired Pneumonia Patients: A Retrospective Cohort Study.社区获得性肺炎患者住院时间、再住院率和死亡率的预测因素:一项回顾性队列研究
J Clin Med. 2023 Aug 28;12(17):5601. doi: 10.3390/jcm12175601.
7
Factors associated with serious outcomes of pneumonia among children in a birth cohort in South Africa.南非出生队列中儿童肺炎严重结局的相关因素。
PLoS One. 2021 Aug 13;16(8):e0255790. doi: 10.1371/journal.pone.0255790. eCollection 2021.
8
Population-Based Cohort of Children With Parapneumonic Effusion and Empyema Managed With Low Rates of Pleural Drainage.基于人群的胸腔积液和脓胸儿童队列,采用低胸腔引流率进行管理。
Front Pediatr. 2021 Jul 21;9:621943. doi: 10.3389/fped.2021.621943. eCollection 2021.
9
Nomogram based on albumin and neutrophil-to-lymphocyte ratio for predicting postoperative complications after pancreaticoduodenectomy.基于白蛋白和中性粒细胞与淋巴细胞比值的列线图预测胰十二指肠切除术后并发症
Gland Surg. 2021 Mar;10(3):877-891. doi: 10.21037/gs-20-789.
10
LDH, CRP and ALB predict nucleic acid turn negative within 14 days in symptomatic patients with COVID-19.LDH、CRP 和 ALB 可预测 COVID-19 有症状患者 14 天内核酸转阴。
Scott Med J. 2021 Aug;66(3):108-114. doi: 10.1177/0036933021994243. Epub 2021 Mar 4.