Literature DB >> 30255831

Validation of Decision Groups in Patients with Dengue Fever: A Study during 2015 Outbreak in Taiwan.

Wei-Ta Huang1, Chien-Chin Hsu2,3, Shih-Bin Su4,5,6, Hung-Jung Lin2,3,7, Chien-Cheng Huang8,9,2,10,5.   

Abstract

The management of dengue fever (DF) has been suggested to be categorized into decision groups A, B, and C; however, its usefulness in predicting mortality is still unclear, and hence we conducted this study to clarify this issue. We conducted a study by recruiting 2,358 patients with DF from the 2015 outbreak in the Chi-Mei Medical Center. Demographic data, vital signs, clinical symptoms and signs, coexisting morbidities, laboratory data, decision groups categorized according to World Health Organization for clinical management of dengue in 2012, and 30-day mortality rates were included for analysis. The overall 30-day mortality rate was 1.4%. The 30-day mortality rates in decision groups A, B, and C were 0%, 0.5%, and 46.2%, respectively. Compared with Group A, there was a higher mortality risk in Group C (odds ratio [OR]: 1,480, 95% confidence interval [CI]: 195-11,200). The area under the curve of the variable of Group C was excellent (OR: 0.92, 95% CI: 0.85-0.99). The sensitivity, specificity, positive predictive value, and negative predictive value for predicting 30-day mortality in Group C were 88.2%, 98.5%, 46.2%, and 99.8%, respectively. This study showed that decision Group C has a good predictive value for 30-day mortality. Further studies including validation in other nations are warranted.

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Year:  2018        PMID: 30255831      PMCID: PMC6221242          DOI: 10.4269/ajtmh.18-0289

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  16 in total

1.  Validation of probability equation and decision tree in predicting subsequent dengue hemorrhagic fever in adult dengue inpatients in Singapore.

Authors:  Tun L Thein; Yee-Sin Leo; Vernon J Lee; Yan Sun; David C Lye
Journal:  Am J Trop Med Hyg       Date:  2011-11       Impact factor: 2.345

2.  Early clinical and laboratory indicators of acute dengue illness.

Authors:  S Kalayanarooj; D W Vaughn; S Nimmannitya; S Green; S Suntayakorn; N Kunentrasai; W Viramitrachai; S Ratanachu-eke; S Kiatpolpoj; B L Innis; A L Rothman; A Nisalak; F A Ennis
Journal:  J Infect Dis       Date:  1997-08       Impact factor: 5.226

3.  Predicting the hyperglycemic crisis death (PHD) score: a new decision rule for emergency and critical care.

Authors:  Chien-Cheng Huang; Shu-Chun Kuo; Tsair-Wei Chien; Hung-Jung Lin; How-Ran Guo; Wei-Lung Chen; Jiann-Hwa Chen; Su-Hen Chang; Shih-Bin Su
Journal:  Am J Emerg Med       Date:  2013-04-18       Impact factor: 2.469

4.  Natural history of plasma leakage in dengue hemorrhagic fever: a serial ultrasonographic study.

Authors:  Anon Srikiatkhachorn; Anchalee Krautrachue; Warangkana Ratanaprakarn; Lawan Wongtapradit; Narong Nithipanya; Siripen Kalayanarooj; Ananda Nisalak; Stephen J Thomas; Robert V Gibbons; Mammen P Mammen; Daniel H Libraty; Francis A Ennis; Alan L Rothman; Sharone Green
Journal:  Pediatr Infect Dis J       Date:  2007-04       Impact factor: 2.129

5.  Dengue and chikungunya virus infection in man in Thailand, 1962-1964. I. Observations on hospitalized patients with hemorrhagic fever.

Authors:  S Nimmannitya; S B Halstead; S N Cohen; M R Margiotta
Journal:  Am J Trop Med Hyg       Date:  1969-11       Impact factor: 2.345

Review 6.  Predicting outcome from dengue.

Authors:  Sophie Yacoub; Bridget Wills
Journal:  BMC Med       Date:  2014-09-04       Impact factor: 8.775

7.  Geriatric Fever Score: a new decision rule for geriatric care.

Authors:  Min-Hsien Chung; Chien-Cheng Huang; Si-Chon Vong; Tzu-Meng Yang; Kuo-Tai Chen; Hung-Jung Lin; Jiann-Hwa Chen; Shih-Bin Su; How-Ran Guo; Chien-Chin Hsu
Journal:  PLoS One       Date:  2014-10-23       Impact factor: 3.240

8.  The global distribution and burden of dengue.

Authors:  Samir Bhatt; Peter W Gething; Oliver J Brady; Jane P Messina; Andrew W Farlow; Catherine L Moyes; John M Drake; John S Brownstein; Anne G Hoen; Osman Sankoh; Monica F Myers; Dylan B George; Thomas Jaenisch; G R William Wint; Cameron P Simmons; Thomas W Scott; Jeremy J Farrar; Simon I Hay
Journal:  Nature       Date:  2013-04-07       Impact factor: 49.962

9.  Decision tree algorithms predict the diagnosis and outcome of dengue fever in the early phase of illness.

Authors:  Lukas Tanner; Mark Schreiber; Jenny G H Low; Adrian Ong; Thomas Tolfvenstam; Yee Ling Lai; Lee Ching Ng; Yee Sin Leo; Le Thi Puong; Subhash G Vasudevan; Cameron P Simmons; Martin L Hibberd; Eng Eong Ooi
Journal:  PLoS Negl Trop Dis       Date:  2008-03-12

10.  Development of clinical decision rules to predict recurrent shock in dengue.

Authors:  Nguyen Tien Huy; Nguyen Thanh Hong Thao; Tran Thi Ngoc Ha; Nguyen Thi Phuong Lan; Phan Thi Thanh Nga; Tran Thi Thuy; Ha Manh Tuan; Cao Thi Phi Nga; Vo Van Tuong; Tran Van Dat; Vu Thi Que Huong; Juntra Karbwang; Kenji Hirayama
Journal:  Crit Care       Date:  2013-12-02       Impact factor: 9.097

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