Literature DB >> 30280705

Predictive and diagnostic test accuracy of ultrasonography in differentiating severe dengue from nonsevere dengue.

Gary Kim-Kuan Low1, Sing-Yan Looi2, Mun-Hin Yong3, Deepali Sharma4.   

Abstract

Diagnosing severe dengue from those who do not develop complication is important to prevent death. The objective of this systematic review was to evaluate the diagnostic test accuracy of ultrasonography in differentiating severe dengue from nonsevere dengue; and to assess if ultrasonography/ultrasound can be used as a predictive (screening) and diagnostic tool in the course of dengue infection. An electronic search was conducted in different databases via OvidSP platform. The included studies were cohort studies between 1995 and 2016 wherein cases were confirmed by dengue blood test. Severity of dengue was assessed and compared using standard WHO references. The methodological quality of the paper was assessed by two independent reviewers by using QUADAS-2 tool. In total 12 studies were included in this review after suitable screening. Overall, the studies included had a low and unclear risk of bias. Seven out of nine studies that compared severe dengue and nonsevere dengue, performed an ultrasonography on gallbladder (wall thickness cutoff-3 mm) with a sensitivity of 24.2-100% and a specificity of 13.2-98.7%. Other parameters such as splenic subcapsular fluid collection, pericardial fluid and hepatic subcapsular fluid collection had a specificity of >90%, though the sensitivity was poor. There were insufficient evidence that ultrasonography is able to differentiate severe dengue from nonsevere dengue accurately. The predictive and diagnostic value of ultrasonography could not be concluded due to insufficient reporting on the temporality of the ultrasonography performed with regard to the diagnosis. However, it might serve as an adjunct investigation to support the clinical diagnosis.

Entities:  

Keywords:  Accuracy; dengue; imaging; investigation; severity; ultrasonography

Mesh:

Year:  2018        PMID: 30280705     DOI: 10.4103/0972-9062.242568

Source DB:  PubMed          Journal:  J Vector Borne Dis        ISSN: 0972-9062            Impact factor:   1.688


  2 in total

1.  Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis.

Authors:  Tran Quang Thach; Heba Gamal Eisa; AlMotsim Ben Hmeda; Hazem Faraj; Tieu Minh Thuan; Manal Mahmoud Abdelrahman; Mario Gerges Awadallah; Nam Xuan Ha; Michael Noeske; Jeza Muhamad Abdul Aziz; Nguyen Hai Nam; Mohamed El Nile; Shyam Prakash Dumre; Nguyen Tien Huy; Kenji Hirayama
Journal:  PLoS Negl Trop Dis       Date:  2021-10-05

2.  Comments on "Dengue management in triage using ultrasound in children from Cambodia: A prospective cohort study".

Authors:  Scott B Halstead; Hasitha Tissera; Malith Kumarasinghe; LakKumar Fernando
Journal:  Lancet Reg Health West Pac       Date:  2022-07-27
  2 in total

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