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一种用于建模东南亚严重疟疾患者住院时间的竞争风险方法及其对医院服务规划的影响。

A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services.

机构信息

Centre for Tropical Medicine & Global Health, Nuffield Department of Medicine, University of Oxford, Peter Medawar Building for Pathogen Research, United Kingdom.

Mahidol Oxford Tropical Medicine Research Unit, Rajthevee, Bangkok, Thailand.

出版信息

Clin Infect Dis. 2018 Sep 14;67(7):1053-1062. doi: 10.1093/cid/ciy211.

Abstract

BACKGROUND

Management of severe malaria with limited resources requires comprehensive planning. Expected length of stay (LOS) and the factors influencing it are useful in the planning and optimisation of service delivery.

METHODS

A secondary, competing-risk approach to survival analysis was performed for 1217 adult severe malaria patients from the South-East Asia Quinine Artesunate Malaria Trial.

RESULTS

Twenty percent of patients died; 95.4% within 7 days compared to 70.3% of those who were discharged. Median time to discharge was 6 days. Compared to quinine, artesunate increased discharge incidence (subdistribution-Hazard ratio, 1.24; [95% confidence interval 1.09-1.40]; P = .001) and decreased incidence of death (0.60; [0.46-0.80]; P < .001). Low Glasgow coma scale (discharge, 1.08 [1.06-1.11], P < .001; death, 0.85 [0.82-0.89], P < .001), high blood urea-nitrogen (discharge, 0.99 [0.99-0.995], P < .001; death, 1.00 [1.00-1.01], P = .012), acidotic base-excess (discharge, 1.05 [1.03-1.06], P < .001; death, 0.90 [0.88-0.93], P < .001), and development of shock (discharge, 0.25 [0.13-0.47], P < .001; death, 2.14 [1.46-3.12], P < .001), or coma (discharge, 0.46 [0.32-0.65], P < .001; death, 2.30 [1.58-3.36], P < .001) decreased cumulative incidence of discharge and increased incidence of death. Conventional Kaplan-Meier survival analysis overestimated cumulative incidence compared to competing-risk model.

CONCLUSIONS

Clinical factors on admission and during hospitalisation influence LOS in severe malaria, presenting targets to improve health and service efficiency. Artesunate has the potential to increase LOS, which should be accounted for when planning services. In-hospital death is a competing risk for discharge; an important consideration in LOS models to reduce overestimation of risk and misrepresentation of associations.

摘要

背景

在资源有限的情况下,严重疟疾的管理需要全面规划。预期住院时间(LOS)及其影响因素对于服务提供的规划和优化很有用。

方法

对来自东南亚青蒿琥酯抗疟临床试验的 1217 例成人严重疟疾患者进行了二次竞争风险生存分析。

结果

20%的患者死亡;95.4%在 7 天内死亡,而出院患者的比例为 70.3%。中位出院时间为 6 天。与奎宁相比,青蒿琥酯增加了出院发生率(亚分布危险比,1.24;[95%置信区间 1.09-1.40];P=0.001),降低了死亡率(0.60;[0.46-0.80];P<0.001)。格拉斯哥昏迷量表评分较低(出院,1.08[1.06-1.11],P<0.001;死亡,0.85[0.82-0.89],P<0.001)、血尿素氮较高(出院,0.99[0.99-0.995],P<0.001;死亡,1.00[1.00-1.01],P=0.012)、酸中毒碱剩余(出院,1.05[1.03-1.06],P<0.001;死亡,0.90[0.88-0.93],P<0.001)和休克(出院,0.25[0.13-0.47],P<0.001;死亡,2.14[1.46-3.12],P<0.001)或昏迷(出院,0.46[0.32-0.65],P<0.001;死亡,2.30[1.58-3.36],P<0.001)的发展降低了出院的累积发生率,增加了死亡的发生率。传统的 Kaplan-Meier 生存分析高估了与竞争风险模型相比的累积发生率。

结论

入院时和住院期间的临床因素会影响严重疟疾的 LOS,为改善健康和服务效率提供了目标。青蒿琥酯有可能延长 LOS,在规划服务时应考虑这一点。住院期间死亡是出院的竞争风险;在 LOS 模型中,这是一个重要的考虑因素,可以降低风险的高估和关联的错误表示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/227b/6137114/49afb29f1233/ciy21101.jpg

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本文引用的文献

2
Introduction to the Analysis of Survival Data in the Presence of Competing Risks.
Circulation. 2016 Feb 9;133(6):601-9. doi: 10.1161/CIRCULATIONAHA.115.017719.
3
A competing risk analysis for hospital length of stay in patients with burns.
JAMA Surg. 2015 May;150(5):450-6. doi: 10.1001/jamasurg.2014.3490.
5
Severe malaria.
Trop Med Int Health. 2014 Sep;19 Suppl 1:7-131. doi: 10.1111/tmi.12313_2.
6
Factors influencing malaria control policy-making in Kenya, Uganda and Tanzania.
Malar J. 2014 Aug 8;13:305. doi: 10.1186/1475-2875-13-305.
7
When do we need competing risks methods for survival analysis in nephrology?
Nephrol Dial Transplant. 2013 Nov;28(11):2670-7. doi: 10.1093/ndt/gft355. Epub 2013 Aug 24.
8
Factors influencing hospital high length of stay outliers.
BMC Health Serv Res. 2012 Aug 20;12:265. doi: 10.1186/1472-6963-12-265.
9
The use and interpretation of competing risks regression models.
Clin Cancer Res. 2012 Apr 15;18(8):2301-8. doi: 10.1158/1078-0432.CCR-11-2097. Epub 2012 Jan 26.
10
Competing risks and the clinical community: irrelevance or ignorance?
Stat Med. 2012 May 20;31(11-12):1089-97. doi: 10.1002/sim.4384. Epub 2011 Sep 23.

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