Development and Utility of Practical Indicators of Critical Outcomes in Dengue Patients Presenting to Hospital: A Retrospective Cross-Sectional Study

Author:

Chi Chia-Yu123ORCID,Sung Tzu-Ching4ORCID,Chang Ko56ORCID,Chien Yu-Wen78,Hsu Hsiang-Chin8910ORCID,Tu Yi-Fang911ORCID,Huang Yi-Ting10,Shih Hsin-I8910

Affiliation:

1. National Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Miaoli County 35053, Taiwan

2. National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli County 35053, Taiwan

3. Department of Microbiology & Immunology, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan

4. School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung 840203, Taiwan

5. Department of Internal Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807378, Taiwan

6. Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 81267, Taiwan

7. Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan

8. School of Medicine, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan

9. Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan

10. Department of Emergency Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704302, Taiwan

11. Department of Public Health, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan

Abstract

Global travel and climate change have drastically increased the number of countries with endemic or epidemic dengue. The largest dengue outbreak in Taiwan, with 43,419 cases and 228 deaths, occurred in 2015. Practical and cost-effective tools for early prediction of clinical outcomes in dengue patients, especially the elderly, are limited. This study identified the clinical profile and prognostic indicators of critical outcomes in dengue patients on the basis of clinical parameters and comorbidities. A retrospective cross-sectional study was conducted in a tertiary hospital from 1 July 2015 to 30 November 2015. Patients diagnosed with dengue were enrolled, and the initial clinical presentations, diagnostic laboratory data, details of the underlying comorbidities, and initial management recommendations based on 2009 World Health Organization (WHO) guidelines were used to evaluate prognostic indicators of critical outcomes in dengue patients. Dengue patients from another regional hospital were used to evaluate accuracy. A group B (4 points) classification, temperature < 38.5 °C (1 point), lower diastolic blood pressure (1 point), prolonged activated partial thromboplastin time (aPTT) (2 points), and elevated liver enzymes (1 point) were included in the scoring system. The area under the receiver operating characteristic curve of the clinical model was 0.933 (95% confidence interval [CI]: 0.905–0.960). The tool had good predictive value and clinical applicability for identifying patients with critical outcomes.

Funder

National Health Research Institute (NHRI), Taiwan

National Science and Technology Council

Research Centre of National Cheng Kung University Hospital

Publisher

MDPI AG

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Immunology and Microbiology

Reference34 articles.

1. Brady, O.J., Gething, P.W., Bhatt, S., Messina, J.P., Brownstein, J.S., Hoen, A.G., Moyes, C.L., Farlow, A.W., Scott, T.W., and Hay, S.I. (2012). Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl. Trop. Dis., 6.

2. Dengue: A continuing global threat;Guzman;Nat. Rev. Microbiol.,2010

3. Clinical characteristics of dengue and dengue hemorrhagic fever in a medical center of southern Taiwan during the 2002 epidemic;Lee;J. Microbiol. Immunol. Infect.,2006

4. (2020, August 15). CDC Annual Report 2016, Available online: https://www.cdc.gov.tw/InfectionReport/Info/MBykt7DHDDcSbrcfxoLRoQ?infoId=HCzh6FgAgovrYiZVrpJrbw.

5. Trend and geographic analysis of the prevalence of dengue in Taiwan, 2010-2015;Hsu;Int. J. Infect. Dis.,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3