Literature DB >> 24606537

Comparative performance of the probable case definitions of dengue by WHO (2009) and the WHO-SEAR expert group (2011).

Zinia T Nujum, Achu Thomas, K Vijayakumar, Radhakrishnan R Nair, M Radhakrishna Pillai, P S Indu, Syam Sundar, Soumya Gopakumar, Devi Mohan, T K Sudheeshkumar.   

Abstract

BACKGROUND: The primary objective of this study was to find the performance of the 2009 probable case definition of dengue and compare it with the definition given by the WHO-SEAR expert group in 2011.
METHODS: A cross-sectional study was conducted in Thiruvananthapuram district of Kerala, which is hyperendemic for dengue. A consecutive series of 851 participants defined by the selection criteria were recruited from the primary, secondary, and tertiary health care settings. Sensitivity, specificity, predictive values, and likelihood ratios of the clinical case definitions were calculated using reverse transcriptase-polymerized chain reaction (RT-PCR) as gold standard in case of fever less than or equal to 5 days and serology (IgM positivity) for fever >5 days. Diagnostic odds ratio (DOR) was also calculated as a single indicator of performance of the case definition.
RESULTS: The 2009 World Health Organization (WHO) case definition had a sensitivity of 76·4% (69·6-82·1) and negative predictive value of 87·5%. The 2011 WHO-SEAR expert group case definition had a higher sensitivity of 87·9% (82·2-91·9) but lower negative predictive value of 86·6%. The three independent criteria which were significantly associated with dengue were thrombocytopenia less than 150,000 (OR 2·80), leukopenia (OR 2·28), and absence of backache (OR 2·68). The performance of 2009 case definition was better (DOR 2·4) than the 2011 WHO-SEAR expert group case definition. This was further enhanced when thrombocytopenia was specified as platelet count less than 150,000 (DOR2·7). When 'no backahe' was added as an additional criteria, the performance of both definitions improved.
CONCLUSIONS: The 2009 WHO case definition has better discriminatory power than the 2011 WHO-SEAR expert group case definition. The performance of 2009 WHO case definition is enhanced by specifying thrombocytopenia as platelet count less than 150,000. The inclusion of 'no backache' further improves the discriminatory power. This may be more useful in primary care settings, to rule out dengue.

Entities:  

Keywords:  Case definition,; Dengue,; Diagnostic odds ratio; SEAR,; WHO,

Mesh:

Year:  2014        PMID: 24606537      PMCID: PMC4005589          DOI: 10.1179/2047773214Y.0000000131

Source DB:  PubMed          Journal:  Pathog Glob Health        ISSN: 2047-7724            Impact factor:   2.894


  25 in total

1.  Norms and standards in epidemiology: case definitions.

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Journal:  Epidemiol Bull       Date:  1999-03

2.  The diagnostic odds ratio: a single indicator of test performance.

Authors:  Afina S Glas; Jeroen G Lijmer; Martin H Prins; Gouke J Bonsel; Patrick M M Bossuyt
Journal:  J Clin Epidemiol       Date:  2003-11       Impact factor: 6.437

3.  The 2003 outbreak of Dengue fever in Delhi, India.

Authors:  N P Singh; Rajat Jhamb; S K Agarwal; M Gaiha; Richa Dewan; M K Daga; Anita Chakravarti; Shailesh Kumar
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4.  Update on acquired immune deficiency syndrome (AIDS)--United States.

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5.  Dengue haemorrhagic fever in children in the 1996 Delhi epidemic.

Authors:  S K Kabra; Y Jain; R M Pandey; T Singhal; P Tripathi; S Broor; P Seth; V Seth
Journal:  Trans R Soc Trop Med Hyg       Date:  1999 May-Jun       Impact factor: 2.184

Review 6.  Dengue haemorrhagic fever and the dengue shock syndrome in India.

Authors:  R Lall; V Dhanda
Journal:  Natl Med J India       Date:  1996 Jan-Feb       Impact factor: 0.537

7.  Short report: assessment of the World Health Organization scheme for classification of dengue severity in Nicaragua.

Authors:  Angel Balmaseda; Samantha Nadia Hammond; Maria Angeles Pérez; Ricardo Cuadra; Soraya Solano; Julio Rocha; Wendy Idiaquez; Eva Harris
Journal:  Am J Trop Med Hyg       Date:  2005-12       Impact factor: 2.345

8.  Fatal dengue hemorrhagic fever in Cuba, 1997.

Authors:  M G Guzmán; M Alvarez; R Rodríguez; D Rosario; S Vázquez; L Vald s; M V Cabrera; G Kourí
Journal:  Int J Infect Dis       Date:  1999       Impact factor: 3.623

9.  [Dengue: a re-emerging disease. A clinical and epidemiological study in 57 Spanish travelers].

Authors:  J Gascón; V Giner; J Vidal; J M Jou; E Mas; M Corachán
Journal:  Med Clin (Barc)       Date:  1998-11-07       Impact factor: 1.725

10.  Evaluation of the traditional and revised World Health Organization classifications of dengue cases in Brazil.

Authors:  Fábio Rocha Lima; Mariana Garcia Croda; Daniella Araujo Muniz; Isabella Trausula Gomes; Karla Roberta de Moraes Soares; Monique Rodrigues Cardoso; Raquel Luciana Angela Marques Tauro; Julio Croda
Journal:  Clinics (Sao Paulo)       Date:  2013-10       Impact factor: 2.365

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  7 in total

1.  Cluster Analysis of Dengue Morbidity and Mortality in Mexico from 2007 to 2020: Implications for the Probable Case Definition.

Authors:  Carlos M Baak-Baak; Nohemi Cigarroa-Toledo; Jose F Pinto-Castillo; Rosa C Cetina-Trejo; Oswaldo Torres-Chable; Bradley J Blitvich; Julian E Garcia-Rejon
Journal:  Am J Trop Med Hyg       Date:  2022-03-14       Impact factor: 3.707

2.  Flaviviruses as a Cause of Undifferentiated Fever in Sindh Province, Pakistan: A Preliminary Report.

Authors:  Erum Khan; Joveria Q Farooqi; Kelli L Barr; Dhani Prakoso; Amna Nasir; Akbar Kanji; Sadia Shakoor; Faisal Riaz Malik; Rumina Hasan; John A Lednicky; Maureen T Long
Journal:  Front Public Health       Date:  2016-02-16

3.  Virus-inclusive single-cell RNA sequencing reveals the molecular signature of progression to severe dengue.

Authors:  Fabio Zanini; Makeda L Robinson; Derek Croote; Malaya Kumar Sahoo; Ana Maria Sanz; Eliana Ortiz-Lasso; Ludwig Luis Albornoz; Fernando Rosso; Jose G Montoya; Leslie Goo; Benjamin A Pinsky; Stephen R Quake; Shirit Einav
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-07       Impact factor: 11.205

4.  A 20-Gene Set Predictive of Progression to Severe Dengue.

Authors:  Makeda Robinson; Timothy E Sweeney; Rina Barouch-Bentov; Malaya Kumar Sahoo; Larry Kalesinskas; Francesco Vallania; Ana Maria Sanz; Eliana Ortiz-Lasso; Ludwig Luis Albornoz; Fernando Rosso; Jose G Montoya; Benjamin A Pinsky; Purvesh Khatri; Shirit Einav
Journal:  Cell Rep       Date:  2019-01-29       Impact factor: 9.423

5.  The Distribution of Dengue Virus Serotype in Quang Nam Province (Vietnam) during the Outbreak in 2018.

Authors:  Duong Q Phan; Linh D N Nguyen; Son T Pham; Tai Nguyen; Phuong T T Pham; Suong T H Nguyen; Dien T Pham; Huong T Pham; Duy K Tran; Sa H Le; Tung T Pham; Kieu C D Nguyen; Gianna Dipalma; Alessio Danilo Inchingolo; Prisco Piscitelli; Alessandro Miani; Scacco Salvatore; Stefania Cantore; Sergey K Aityan; Andrea Ballini; Francesco Inchingolo; Ciro Gargiulo Isacco; Van H Pham
Journal:  Int J Environ Res Public Health       Date:  2022-01-24       Impact factor: 4.614

6.  Accuracy of clinical criteria and an immunochromatographic strip test for dengue diagnosis in a DENV-4 epidemic.

Authors:  Sibelle Nogueira Buonora; Sonia Regina Lambert Passos; Cleber Nascimento do Carmo; Fernanda Moisés Quintela; Diana Neves Rodrigues de Oliveira; Flavia Barreto dos Santos; Yara Hahr Marques Hökerberg; Rita Maria Ribeiro Nogueira; Regina Paiva Daumas
Journal:  BMC Infect Dis       Date:  2016-01-29       Impact factor: 3.090

Review 7.  Dengue infection in India: A systematic review and meta-analysis.

Authors:  Parasuraman Ganeshkumar; Manoj V Murhekar; Veeraraghavadoss Poornima; Velusamy Saravanakumar; Krishnendu Sukumaran; Anandan Anandaselvasankar; Denny John; Sanjay M Mehendale
Journal:  PLoS Negl Trop Dis       Date:  2018-07-16
  7 in total

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