Literature DB >> 29709965

A Multicenter Study of Clinical Presentations and Predictive Factors for Severe Manifestation of Dengue in Adults.

Saranya Temprasertrudee1, Vipa Thanachartwet2, Varunee Desakorn2, Jiraporn Keatkla3, Wasun Chantratita3, Sasisopin Kiertiburanakul1.   

Abstract

Severe dengue is more prevalent in adults than in children. Our objectives were to determine the clinical presentations of dengue in adults and to identify predictive factors for severe dengue. A retrospective cohort study was performed in adults with dengue, as confirmed by a positive NS1 antigen test result. Patients were classified as with non-severe or severe dengue. A total of 357 patients were enrolled; 45.4% were men, with a median (interquartile range [IQR]) age of 27.9 (21.8-43.5) years. Of all patients, 28.3% had warning signs and 10.6% had severe dengue. Patients with severe dengue were significantly older (35.1 [26.2-50.6] vs. 26.7 [21.7-43.3] years, P = 0.010), immunocompromised (7.9% vs. 0.9%, P = 0.018), and had cough (29% vs. 16%, P = 0.046), hepatomegaly (10.5% vs. 3.1%, P = 0.050), impaired consciousness (5.3% vs. 0%, P = 0.011) or higher (IQR) alanine aminotransferase (ALT) level (151 [57-295] vs. 66 [37-114] U/L, P = 0.008). By multivariate analysis, having cough (odds ratio [OR], 8.07; 95% confidence interval [CI], 2.51-30.16, P = 0.001) and ALT>120 U/L (OR, 3.51; 95% CI, 1.11-11.14, P = 0.033) were predictors of severe dengue. Early recognition of risk variables may be important for healthcare providers to appropriately manage dengue patients.

Entities:  

Keywords:  adult; dengue; dengue hemorrhagic fever; dengue shock syndrome

Mesh:

Year:  2018        PMID: 29709965     DOI: 10.7883/yoken.JJID.2017.457

Source DB:  PubMed          Journal:  Jpn J Infect Dis        ISSN: 1344-6304            Impact factor:   1.362


  6 in total

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2.  Epidemiological and Clinical Features of Dengue Infection in Adults in the 2017 Outbreak in Vietnam.

Authors:  Bui Vu Huy; Le Nguyen Minh Hoa; Dang Thi Thuy; Nguyen Van Kinh; Ta Thi Dieu Ngan; Le Van Duyet; Nguyen Thanh Hung; Ngo Ngoc Quang Minh; Nguyen Thanh Truong; Nguyen Van Vinh Chau
Journal:  Biomed Res Int       Date:  2019-11-07       Impact factor: 3.411

3.  Imported dengue in Spain: a nationwide analysis with predictive time series analyses.

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4.  Prognostic indicators associated with progresses of severe dengue.

Authors:  Bùi Vũ Huy; Ngô Văn Toàn
Journal:  PLoS One       Date:  2022-01-05       Impact factor: 3.240

5.  An 8-gene machine learning model improves clinical prediction of severe dengue progression.

Authors:  Yiran E Liu; Sirle Saul; Shirit Einav; Purvesh Khatri; Aditya Manohar Rao; Makeda Lucretia Robinson; Olga Lucia Agudelo Rojas; Ana Maria Sanz; Michelle Verghese; Daniel Solis; Mamdouh Sibai; Chun Hong Huang; Malaya Kumar Sahoo; Rosa Margarita Gelvez; Nathalia Bueno; Maria Isabel Estupiñan Cardenas; Luis Angel Villar Centeno; Elsa Marina Rojas Garrido; Fernando Rosso; Michele Donato; Benjamin A Pinsky
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6.  Risk and predictive factors for severe dengue infection: A systematic review and meta-analysis.

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  6 in total

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