• 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

识别儿童严重脓毒症和脓毒性休克:诊断编码的准确性

Identifying Pediatric Severe Sepsis and Septic Shock: Accuracy of Diagnosis Codes.

作者信息

Balamuth Fran, Weiss Scott L, Hall Matt, Neuman Mark I, Scott Halden, Brady Patrick W, Paul Raina, Farris Reid W D, McClead Richard, Centkowski Sierra, Baumer-Mouradian Shannon, Weiser Jason, Hayes Katie, Shah Samir S, Alpern Elizabeth R

机构信息

Children's Hospital of Philadelphia, Philadelphia, PA.

Children's Hospital Association, Overland Park, KS.

出版信息

J Pediatr. 2015 Dec;167(6):1295-300.e4. doi: 10.1016/j.jpeds.2015.09.027. Epub 2015 Oct 23.

DOI:10.1016/j.jpeds.2015.09.027
PMID:26470685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4662908/
Abstract

OBJECTIVES

To evaluate accuracy of 2 established administrative methods of identifying children with sepsis using a medical record review reference standard.

STUDY DESIGN

Multicenter retrospective study at 6 US children's hospitals. Subjects were children >60 days to <19 years of age and identified in 4 groups based on International Classification of Diseases, Ninth Revision, Clinical Modification codes: (1) severe sepsis/septic shock (sepsis codes); (2) infection plus organ dysfunction (combination codes); (3) subjects without codes for infection, organ dysfunction, or severe sepsis; and (4) infection but not severe sepsis or organ dysfunction. Combination codes were allowed, but not required within the sepsis codes group. We determined the presence of reference standard severe sepsis according to consensus criteria. Logistic regression was performed to determine whether addition of codes for sepsis therapies improved case identification.

RESULTS

A total of 130 out of 432 subjects met reference SD of severe sepsis. Sepsis codes had sensitivity 73% (95% CI 70-86), specificity 92% (95% CI 87-95), and positive predictive value 79% (95% CI 70-86). Combination codes had sensitivity 15% (95% CI 9-22), specificity 71% (95% CI 65-76), and positive predictive value 18% (95% CI 11-27). Slight improvements in model characteristics were observed when codes for vasoactive medications and endotracheal intubation were added to sepsis codes (c-statistic 0.83 vs 0.87, P = .008).

CONCLUSIONS

Sepsis specific International Classification of Diseases, Ninth Revision, Clinical Modification codes identify pediatric patients with severe sepsis in administrative data more accurately than a combination of codes for infection plus organ dysfunction.

摘要

目的

使用病历审查参考标准评估两种既定的识别脓毒症患儿的管理方法的准确性。

研究设计

在美国6家儿童医院进行的多中心回顾性研究。研究对象为年龄大于60天至小于19岁的儿童,根据《国际疾病分类,第九版,临床修订本》编码分为4组:(1)严重脓毒症/脓毒性休克(脓毒症编码);(2)感染加器官功能障碍(组合编码);(3)无感染、器官功能障碍或严重脓毒症编码的受试者;(4)感染但无严重脓毒症或器官功能障碍。脓毒症编码组允许使用组合编码,但不是必需的。我们根据共识标准确定参考标准严重脓毒症的存在。进行逻辑回归以确定添加脓毒症治疗编码是否能改善病例识别。

结果

432名受试者中共有130名符合严重脓毒症的参考标准。脓毒症编码的敏感性为73%(95%可信区间70 - 86),特异性为92%(95%可信区间87 - 95),阳性预测值为79%(95%可信区间70 - 86)。组合编码的敏感性为15%(95%可信区间9 - 22),特异性为71%(95%可信区间65 - 76),阳性预测值为18%(95%可信区间11 - 27)。当将血管活性药物和气管插管编码添加到脓毒症编码中时,模型特征有轻微改善(c统计量0.83对0.87,P = 0.008)。

结论

特定于脓毒症的《国际疾病分类,第九版,临床修订本》编码比感染加器官功能障碍编码组合能更准确地在管理数据中识别患有严重脓毒症的儿科患者。

相似文献

1
Identifying Pediatric Severe Sepsis and Septic Shock: Accuracy of Diagnosis Codes.识别儿童严重脓毒症和脓毒性休克:诊断编码的准确性
J Pediatr. 2015 Dec;167(6):1295-300.e4. doi: 10.1016/j.jpeds.2015.09.027. Epub 2015 Oct 23.
2
Comparison of Methods for Identification of Pediatric Severe Sepsis and Septic Shock in the Virtual Pediatric Systems Database.比较虚拟儿科系统数据库中用于识别儿科严重脓毒症和脓毒性休克的方法。
Crit Care Med. 2019 Feb;47(2):e129-e135. doi: 10.1097/CCM.0000000000003541.
3
Defining pediatric sepsis by different criteria: discrepancies in populations and implications for clinical practice.根据不同标准定义儿童脓毒症:人群差异及其对临床实践的影响。
Pediatr Crit Care Med. 2012 Jul;13(4):e219-26. doi: 10.1097/PCC.0b013e31823c98da.
4
Pediatric severe sepsis: current trends and outcomes from the Pediatric Health Information Systems database.小儿严重脓毒症:来自儿科健康信息系统数据库的当前趋势与结局
Pediatr Crit Care Med. 2014 Nov;15(9):828-38. doi: 10.1097/PCC.0000000000000254.
5
Accuracy of International classification of diseases, 10th revision codes for identifying severe sepsis in patients admitted from the emergency department.国际疾病分类第 10 版编码在识别从急诊科入院的严重脓毒症患者中的准确性。
Crit Care Resusc. 2012 Jun;14(2):112-8.
6
The Comparative Epidemiology of Pediatric Severe Sepsis.儿科严重脓毒症的比较流行病学。
J Intensive Care Med. 2019 Jun;34(6):472-479. doi: 10.1177/0885066617735783. Epub 2017 Oct 15.
7
Pediatric severe sepsis in U.S. children's hospitals.美国儿童医院中的儿童严重脓毒症
Pediatr Crit Care Med. 2014 Nov;15(9):798-805. doi: 10.1097/PCC.0000000000000225.
8
Comparison of International Pediatric Sepsis Consensus Conference Versus Sepsis-3 Definitions for Children Presenting With Septic Shock to a Tertiary Care Center in India: A Retrospective Study.国际儿科脓毒症共识会议与脓毒症-3 定义在印度一家三级护理中心用于诊断感染性休克患儿的比较:一项回顾性研究。
Pediatr Crit Care Med. 2019 Mar;20(3):e122-e129. doi: 10.1097/PCC.0000000000001864.
9
Severe sepsis cohorts derived from claims-based strategies appear to be biased toward a more severely ill patient population.基于索赔策略得出的严重脓毒症队列似乎偏向于病情更严重的患者群体。
Crit Care Med. 2013 Apr;41(4):945-53. doi: 10.1097/CCM.0b013e31827466f1.
10
Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009-2014.2009 - 2014年美国医院中使用临床数据与索赔数据的脓毒症发病率及趋势
JAMA. 2017 Oct 3;318(13):1241-1249. doi: 10.1001/jama.2017.13836.

引用本文的文献

1
Harbingers of sepsis misdiagnosis among pediatric emergency department patients.儿科急诊科患者中脓毒症误诊的先兆
Diagnosis (Berl). 2024 Dec 12;12(2):241-249. doi: 10.1515/dx-2024-0119. eCollection 2025 May 1.
2
Frequency of and Risk Factors for Increased Healthcare Utilization After Pediatric Sepsis Hospitalization.儿科脓毒症住院后医疗保健利用增加的频率和危险因素。
Crit Care Med. 2024 Nov 1;52(11):1700-1709. doi: 10.1097/CCM.0000000000006406. Epub 2024 Sep 19.
3
Association of the social disorganization index with time to first septic shock event in children with acute myeloid leukemia.社会失序指数与急性髓系白血病患儿首次感染性休克事件时间的相关性。
Cancer. 2024 Mar 15;130(6):962-972. doi: 10.1002/cncr.35109. Epub 2023 Nov 20.
4
Frequency of and Risk Factors Associated With Hospital Readmission After Sepsis.脓毒症患者出院后的再入院频率及相关因素。
Pediatrics. 2023 Jul 1;152(1). doi: 10.1542/peds.2022-060819.
5
Sensitivity of ICD coding for sepsis in children-a population-based study.儿童脓毒症ICD编码的敏感性——一项基于人群的研究
Intensive Care Med Paediatr Neonatal. 2023;1(1):5. doi: 10.1007/s44253-023-00006-1. Epub 2023 Jun 13.
6
Nucleated Red Blood Cells Are Predictive of In-Hospital Mortality for Pediatric Patients.有核红细胞可预测儿科患者的住院死亡率。
Pediatr Emerg Care. 2023 Dec 1;39(12):907-912. doi: 10.1097/PEC.0000000000002980. Epub 2023 May 28.
7
Application of a sepsis flow chip (SFC) assay for the molecular diagnosis of paediatric sepsis.脓毒症流式芯片(SFC)检测在儿童脓毒症分子诊断中的应用。
Access Microbiol. 2023 Apr 21;5(4). doi: 10.1099/acmi.0.000474.v4. eCollection 2023.
8
Identifying and Validating Pediatric Hospitalizations for MIS-C Through Administrative Data.通过行政数据识别和验证儿童多系统炎症综合征(MIS-C)住院病例。
Pediatrics. 2023 May 1;151(5). doi: 10.1542/peds.2022-059872.
9
Children with severe sepsis: relationship between community level income and morbidity and mortality.严重脓毒症患儿:社区收入水平与发病率和死亡率的关系。
Pediatr Res. 2023 Aug;94(2):837-844. doi: 10.1038/s41390-023-02500-w. Epub 2023 Feb 17.
10
Investigating Racial and Socioeconomic Characteristics in Pediatric Sepsis Using Electronic Health Data.利用电子健康数据调查儿科脓毒症的种族和社会经济特征。
Hosp Pediatr. 2023 Feb 1;13(2):138-146. doi: 10.1542/hpeds.2022-006752.

本文引用的文献

1
Pediatric severe sepsis in U.S. children's hospitals.美国儿童医院中的儿童严重脓毒症
Pediatr Crit Care Med. 2014 Nov;15(9):798-805. doi: 10.1097/PCC.0000000000000225.
2
Deaths: preliminary data for 2008.死亡情况:2008年初步数据。
Natl Vital Stat Rep. 2010 Dec;59(2):1-52.
3
Trends in the epidemiology of pediatric severe sepsis*.儿科严重脓毒症的流行病学趋势*。
Pediatr Crit Care Med. 2013 Sep;14(7):686-93. doi: 10.1097/PCC.0b013e3182917fad.
4
Identifying pediatric community-acquired pneumonia hospitalizations: Accuracy of administrative billing codes.识别儿科社区获得性肺炎住院:行政计费代码的准确性。
JAMA Pediatr. 2013 Sep;167(9):851-8. doi: 10.1001/jamapediatrics.2013.186.
5
Benchmarking the incidence and mortality of severe sepsis in the United States.美国严重脓毒症发病率和死亡率的基准研究。
Crit Care Med. 2013 May;41(5):1167-74. doi: 10.1097/CCM.0b013e31827c09f8.
6
Adherence to PALS Sepsis Guidelines and Hospital Length of Stay.对 PALS 脓毒症指南的依从性与医院住院时间。
Pediatrics. 2012 Aug;130(2):e273-80. doi: 10.1542/peds.2012-0094. Epub 2012 Jul 2.
7
Defining pediatric sepsis by different criteria: discrepancies in populations and implications for clinical practice.根据不同标准定义儿童脓毒症:人群差异及其对临床实践的影响。
Pediatr Crit Care Med. 2012 Jul;13(4):e219-26. doi: 10.1097/PCC.0b013e31823c98da.
8
Development and validation of a model that uses enhanced administrative data to predict mortality in patients with sepsis.开发和验证一种使用增强型行政数据预测脓毒症患者死亡率的模型。
Crit Care Med. 2011 Nov;39(11):2425-30. doi: 10.1097/CCM.0b013e31822572e3.
9
Accuracy of administrative billing codes to detect urinary tract infection hospitalizations.利用行政计费代码检测尿路感染住院的准确性。
Pediatrics. 2011 Aug;128(2):323-30. doi: 10.1542/peds.2010-2064. Epub 2011 Jul 18.
10
Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.研究电子数据采集(REDCap)——一种用于提供转化研究信息学支持的元数据驱动方法和工作流程。
J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30.