Dengue fever mortality score: A novel decision rule to predict death from dengue fever

被引:21
作者
Huang, Chien-Cheng [1 ,2 ,3 ,4 ,5 ]
Hsu, Chien-Chin [1 ,6 ]
Guo, How-Ran [2 ,7 ]
Su, Shih-Bin [5 ,8 ,9 ]
Lin, Hung-Jung [1 ,6 ,10 ]
机构
[1] Chi Mei Med Ctr, Dept Emergency Med, 901 Zhonghua Rd, Tainan 710, Taiwan
[2] Natl Cheng Kung Univ, Coll Med, Dept Environm & Occupat Hlth, Tainan, Taiwan
[3] Southern Taiwan Univ Sci & Technol, Bachelor Program Senior Serv, Tainan, Taiwan
[4] Chi Mei Med Ctr, Dept Geriatr & Gerontol, Tainan, Taiwan
[5] Chi Mei Med Ctr, Dept Occupat Med, Tainan, Taiwan
[6] Southern Taiwan Univ Sci & Technol, Dept Biotechnol, Tainan, Taiwan
[7] Natl Cheng Kung Univ Hosp, Dept Occupat & Environm Med, Tainan, Taiwan
[8] Southern Taiwan Univ Sci & Technol, Dept Leisure Recreat & Tourism Management, Tainan, Taiwan
[9] Chi Mei Med Ctr, Dept Med Res, Tainan, Taiwan
[10] Taipei Med Univ, Dept Emergency Med, Taipei, Taiwan
关键词
Dengue fever; Mortality; Prediction; Score; LABORATORY CHARACTERISTICS; HEMORRHAGIC-FEVER; SHOCK SYNDROME; RISK-FACTORS; EMERGENCY; FATALITY; ADULTS;
D O I
10.1016/j.jinf.2017.09.014
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objectives: Dengue fever (DF) is still a major challenge for public health, especially during massive outbreaks. We developed a novel prediction score to help decision making, which has not been performed till date. Methods: We conducted a retrospective case-control study to recruit all the DF patients who visited a medical center during the 2015 DF outbreak. Demographic data, vital signs, symptoms/signs, chronic comorbidities, laboratory data, and 30-day mortality rates were included in the study. Univariate analysis and multivariate logistic regression analysis were used to identify the independent mortality predictors, which further formed the components of a DF mortality (DFM) score. Bootstrapping method was used to validate the DFM score. Results: In total, a sample of 2358 DF patients was included in this study, which also consisted of 34 deaths (1.44%). Five independent mortality predictors were identified: elderly age (>= 65 years), hypotension (systolic blood pressure <90 mmHg), hemoptysis, diabetes mellitus, and chronic bedridden. After assigning each predictor a score of "1", we developed a DFM score (range: 0-5), which showed that the mortality risk ratios for scores 0, 1, 2, and >= 3 were 0.2%, 2.3%, 6.0%, and 45.5%, respectively. The area under the curve was 0.849 (95% confidence interval [CI]: 0.785-0.914), and Hosmer-Lemeshow goodness-of-fit was 0.642. Compared with score 0, the odds ratios for mortality were 12.73 (95% CI: 3.58-45.30) for score 1, 34.21 (95% CI: 9.75-119.99) for score 2, and 443.89 (95% CI: 86.06-2289.60) for score >= 3, with significant differences (all p values <0.001). The score >= 1 had a sensitivity of 91.2% for mortality and score >= 3 had a specificity of 99.7% for mortality. Conclusions: DFM score was a simple and easy method to help decision making, especially in the massive outbreak. Further studies in other hospitals or nations are warranted to validate this score. (C) 2017 Published by Elsevier Ltd on behalf of The British Infection Association.
引用
收藏
页码:532 / 540
页数:9
相关论文
共 33 条
[1]   Epidemiological Factors Associated with Dengue Shock Syndrome and Mortality in Hospitalized Dengue Patients in Ho Chi Minh City, Vietnam [J].
Anders, Katherine L. ;
Nguyen Minh Nguyet ;
Nguyen Van Vinh Chau ;
Nguyen Thanh Hung ;
Tran Thi Thuy ;
Le Bich Lien ;
Jeremy Farrar ;
Bridget Wills ;
Tran Tinh Hien ;
Simmons, Cameron P. .
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2011, 84 (01) :127-134
[2]   Hypotension, bedridden, leukocytosis, thrombocytopenia and elevated serum creatinine predict mortality in geriatric patients with fever [J].
Chung, Min-Hsien ;
Chu, Feng-Yuan ;
Yang, Tzu-Meng ;
Lin, Hung-Jung ;
Chen, Jiann-Hwa ;
Guo, How-Ran ;
Vong, Si-Chon ;
Su, Shih-Bin ;
Huang, Chien-Cheng ;
Hsu, Chien-Chin .
GERIATRICS & GERONTOLOGY INTERNATIONAL, 2015, 15 (07) :834-839
[3]   Geriatric Fever Score: A New Decision Rule for Geriatric Care [J].
Chung, Min-Hsien ;
Huang, Chien-Cheng ;
Vong, Si-Chon ;
Yang, Tzu-Meng ;
Chen, Kuo-Tai ;
Lin, Hung-Jung ;
Chen, Jiann-Hwa ;
Su, Shih-Bin ;
Guo, How-Ran ;
Hsu, Chien-Chin .
PLOS ONE, 2014, 9 (10)
[4]   Comparison of clinical and laboratory characteristics between children and adults with dengue [J].
de Souza, Luiz Jose ;
Pessanha, Lais Bastos ;
Mansur, Laura Carvalho ;
de Souza, Luiza Assed ;
Tamega Ribeiro, Mariana Barbosa ;
da Silveira, Monique do Vale ;
Damian Souto Filho, Joao Tadeu .
BRAZILIAN JOURNAL OF INFECTIOUS DISEASES, 2013, 17 (01) :27-31
[5]  
DELLINGER RP, 2013, INTENS CARE MED, V39, P165, DOI DOI 10.1007/s00134-012-2769-8
[6]   DIFFICULTY IN PREDICTING BACTEREMIA IN ELDERLY EMERGENCY PATIENTS [J].
FONTANAROSA, PB ;
KAEBERLEIN, FJ ;
GERSON, LW ;
THOMSON, RB .
ANNALS OF EMERGENCY MEDICINE, 1992, 21 (07) :842-848
[7]  
García-Rivera Enid J., 2003, Rev Panam Salud Publica, V13, P362, DOI 10.1590/S1020-49892003000500004
[8]   Secondary infection as a risk factor for dengue hemorrhagic fever/dengue shock syndrome: an historical perspective and role of antibody-dependent enhancement of infection [J].
Guzman, Maria G. ;
Alvarez, Mayling ;
Halstead, Scott B. .
ARCHIVES OF VIROLOGY, 2013, 158 (07) :1445-1459
[9]   Predicting the hyperglycemic crisis death (PHD) score: a new decision rule for emergency and critical care [J].
Huang, Chien-Cheng ;
Kuo, Shu-Chun ;
Chien, Tsair-Wei ;
Lin, Hung-Jung ;
Guo, How-Ran ;
Chen, Wei-Lung ;
Chen, Jiann-Hwa ;
Chang, Su-Hen ;
Su, Shih-Bin .
AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2013, 31 (05) :830-834
[10]   Predicting the mortality in geriatric patients with dengue fever [J].
Huang, Hung-Sheng ;
Hsu, Chien-Chin ;
Ye, Je-Chiuan ;
Su, Shih-Bin ;
Huang, Chien-Cheng ;
Lin, Hung-Jung .
MEDICINE, 2017, 96 (37)