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Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data.利用电子健康记录数据评估急诊科自动化实时临床决策支持的可行性。
BMC Emerg Med. 2018 Jul 3;18(1):19. doi: 10.1186/s12873-018-0170-9.
2
Deaths: Final Data for 2015.死亡:2015年最终数据。
Natl Vital Stat Rep. 2017 Nov;66(6):1-75.
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Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.预测未来——大数据、机器学习与临床医学。
N Engl J Med. 2016 Sep 29;375(13):1216-9. doi: 10.1056/NEJMp1606181.
4
Community-Acquired Pneumonia Requiring Hospitalization among U.S. Adults.美国成年人中需要住院治疗的社区获得性肺炎
N Engl J Med. 2015 Jul 30;373(5):415-27. doi: 10.1056/NEJMoa1500245. Epub 2015 Jul 14.
5
Clinical and Laboratory Findings in Patients With Acute Respiratory Symptoms That Suggest the Necessity of Chest X-ray for Community-Acquired Pneumonia.提示社区获得性肺炎需行胸部X线检查的急性呼吸道症状患者的临床和实验室检查结果
Iran J Radiol. 2015 Jan 1;12(1):e13547. doi: 10.5812/iranjradiol.13547. eCollection 2015 Jan.
6
Use of serum C reactive protein and procalcitonin concentrations in addition to symptoms and signs to predict pneumonia in patients presenting to primary care with acute cough: diagnostic study.在出现急性咳嗽症状的患者中,除了症状和体征外,还可以使用血清 C 反应蛋白和降钙素原浓度来预测肺炎:诊断研究。
BMJ. 2013 Apr 30;346:f2450. doi: 10.1136/bmj.f2450.
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The inevitable application of big data to health care.大数据在医疗保健领域的必然应用。
JAMA. 2013 Apr 3;309(13):1351-2. doi: 10.1001/jama.2013.393.
8
Diagnosing pneumonia in patients with acute cough: clinical judgment compared to chest radiography.诊断急性咳嗽患者的肺炎:临床判断与胸部 X 线摄影比较。
Eur Respir J. 2013 Oct;42(4):1076-82. doi: 10.1183/09031936.00111012. Epub 2013 Jan 24.
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QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.QUADAS-2:用于诊断准确性研究质量评估的修订工具。
Ann Intern Med. 2011 Oct 18;155(8):529-36. doi: 10.7326/0003-4819-155-8-201110180-00009.
10
A decision aid to rule out pneumonia and reduce unnecessary prescriptions of antibiotics in primary care patients with cough and fever.用于排除肺炎并减少初级保健患者咳嗽和发热时抗生素不必要处方的决策辅助工具。
BMC Med. 2011 May 13;9:56. doi: 10.1186/1741-7015-9-56.

排除门诊成人社区获得性肺炎的体征和症状:一项系统评价和荟萃分析

Signs and Symptoms That Rule out Community-Acquired Pneumonia in Outpatient Adults: A Systematic Review and Meta-Analysis.

作者信息

Marchello Christian S, Ebell Mark H, Dale Ariella P, Harvill Eric T, Shen Ye, Whalen Christopher C

机构信息

From the Department of Epidemiology and Biostatistics, College of Public Health, (CSM, MHE, APD, YS, CCW), Department of Infectious Diseases, College of Veterinary Medicine (EH), University of Georgia, Athens, GA.

出版信息

J Am Board Fam Med. 2019 Mar-Apr;32(2):234-247. doi: 10.3122/jabfm.2019.02.180219.

DOI:10.3122/jabfm.2019.02.180219
PMID:30850460
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7422644/
Abstract

BACKGROUND

A systematic review of clinical decision rules to identify patients at low risk for community-acquired pneumonia (CAP) has not been previously presented in the literature.

METHODS

A systematic review of MEDLINE for prospective studies that used at least 2 signs, symptoms, or point-of-care tests to determine the likelihood of CAP. We included studies that enrolled adults and adolescents in the outpatient setting where all or a random sample of patients received a chest radiograph as the reference standard. We excluded retrospective studies and studies that recruited primarily patients with hospital-acquired CAP.

RESULTS

Our search identified 974 articles, 12 of which were included in the final analysis. The simple heuristic of normal vital signs (temperature, respiratory rate, and heart rate) to identify patients at low risk for CAP was reported by 4 studies and had a summary estimate of the negative likelihood ratio (LR-) of 0.24 (95% CI, 0.17 to 0.34) and a sensitivity of 0.89 (95% CI, 0.79 to 0.94). The simple heuristic of normal vital signs combined with a normal pulmonary examination to identify patients at low risk for CAP was reported by 3 studies, and had a summary estimate of LR- of 0.10 (95% CI, 0.07 to 0.13) with an area under the receiver operating characteristic curve of 0.92.

CONCLUSIONS

Adults with an acute respiratory infection who have normal vital signs and a normal pulmonary examination are very unlikely to have CAP. Given a baseline CAP risk of 4%, these patients have only a 0.4% likelihood of CAP.

摘要

背景

此前文献中尚未有对用于识别社区获得性肺炎(CAP)低风险患者的临床决策规则进行的系统评价。

方法

对MEDLINE进行系统评价,纳入前瞻性研究,这些研究使用至少2种体征、症状或床旁检查来确定CAP的可能性。我们纳入了在门诊环境中纳入成人和青少年的研究,其中所有或随机抽取的患者接受胸部X线片作为参考标准。我们排除了回顾性研究以及主要招募医院获得性CAP患者的研究。

结果

我们的检索识别出974篇文章,其中12篇纳入最终分析。4项研究报告了使用正常生命体征(体温、呼吸频率和心率)这一简单启发法来识别CAP低风险患者,其阴性似然比(LR-)的汇总估计值为0.24(95%CI,0.17至0.34),敏感性为0.89(95%CI,0.79至0.94)。3项研究报告了使用正常生命体征结合正常肺部检查这一简单启发法来识别CAP低风险患者,其LR-的汇总估计值为0.10(95%CI,0.07至0.13),受试者工作特征曲线下面积为0.92。

结论

急性呼吸道感染且生命体征正常、肺部检查正常的成年人患CAP的可能性极小。鉴于CAP的基线风险为4%,这些患者患CAP的可能性仅为0.4%。