Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru
Descripción del Articulo
        Objectives: To develop a clinical prediction rule (CPR) for the diagnosis of pleural tuberculosis (PT) in patients with pleural exudates in Peru. Methods: Clinical and laboratory information was collected from patients with exudative pleural effusion attending two reference hospitals in Lima, Peru....
              
            
    
                        | Autores: | , , | 
|---|---|
| Formato: | artículo | 
| Fecha de Publicación: | 2018 | 
| Institución: | Universidad Peruana de Ciencias Aplicadas | 
| Repositorio: | UPC-Institucional | 
| Lenguaje: | inglés | 
| OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/623065 | 
| Enlace del recurso: | http://hdl.handle.net/10757/623065 | 
| Nivel de acceso: | acceso abierto | 
| Materia: | Aadenosine deaminase Clinical prediction rules Pleural effusion Tuberculosis | 
| id | UUPC_5fea27fe71505a3b6da7e511478cc7f2 | 
|---|---|
| oai_identifier_str | oai:repositorioacademico.upc.edu.pe:10757/623065 | 
| network_acronym_str | UUPC | 
| network_name_str | UPC-Institucional | 
| repository_id_str | 2670 | 
| dc.title.es.fl_str_mv | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru | 
| title | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru | 
| spellingShingle | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru Solari, Lely Aadenosine deaminase Clinical prediction rules Pleural effusion Tuberculosis | 
| title_short | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru | 
| title_full | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru | 
| title_fullStr | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru | 
| title_full_unstemmed | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru | 
| title_sort | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru | 
| author | Solari, Lely | 
| author_facet | Solari, Lely Soto, Alonso Van der Stuyft, Patrick | 
| author_role | author | 
| author2 | Soto, Alonso Van der Stuyft, Patrick | 
| author2_role | author author | 
| dc.contributor.author.fl_str_mv | Solari, Lely Soto, Alonso Van der Stuyft, Patrick | 
| dc.subject.es.fl_str_mv | Aadenosine deaminase Clinical prediction rules Pleural effusion Tuberculosis | 
| topic | Aadenosine deaminase Clinical prediction rules Pleural effusion Tuberculosis | 
| description | Objectives: To develop a clinical prediction rule (CPR) for the diagnosis of pleural tuberculosis (PT) in patients with pleural exudates in Peru. Methods: Clinical and laboratory information was collected from patients with exudative pleural effusion attending two reference hospitals in Lima, Peru. Predictive findings associated with PT in a multiple logistic regression model were used to develop the CPR. A definite diagnosis of PT was based on a composite reference standard including bacteriological and/or histological analysis of pleural fluid and pleural biopsy specimens. Results: A total of 238 patients were included in the analysis, of whom 176 had PT. Age, sex, previous contact with a TB patient, presence of lymphadenopathy, and pleural adenosine deaminase (ADA) levels were found to be independently associated with PT. These predictive findings were used to construct a CPR, for which the area under the receiver operating characteristics curve (AUC) was 0.92. The single best cut-off point was a score of ≥60 points, which had a sensitivity of 88%, specificity of 92%, a positive likelihood ratio of 10.9, and a negative likelihood ratio of 0.13. Conclusions: The CPR is accurate for the diagnosis of PT and could be useful for treatment initiation while avoiding pleural biopsy. A prospective evaluation is needed before its implementation in different settings. | 
| publishDate | 2018 | 
| dc.date.accessioned.none.fl_str_mv | 2018-04-04T16:09:20Z | 
| dc.date.available.none.fl_str_mv | 2018-04-04T16:09:20Z | 
| dc.date.issued.fl_str_mv | 2018-04 | 
| dc.type.es.fl_str_mv | info:eu-repo/semantics/article | 
| format | article | 
| dc.identifier.citation.es.fl_str_mv | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru 2018, 69:103 International Journal of Infectious Diseases | 
| dc.identifier.issn.none.fl_str_mv | 12019712 | 
| dc.identifier.doi.none.fl_str_mv | 10.1016/j.ijid.2018.01.026 | 
| dc.identifier.uri.none.fl_str_mv | http://hdl.handle.net/10757/623065 | 
| dc.identifier.journal.es.fl_str_mv | International Journal of Infectious Diseases | 
| identifier_str_mv | Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru 2018, 69:103 International Journal of Infectious Diseases 12019712 10.1016/j.ijid.2018.01.026 International Journal of Infectious Diseases | 
| url | http://hdl.handle.net/10757/623065 | 
| dc.language.iso.es.fl_str_mv | eng | 
| language | eng | 
| dc.relation.url.es.fl_str_mv | http://linkinghub.elsevier.com/retrieve/pii/S1201971218300274 | 
| dc.rights.es.fl_str_mv | info:eu-repo/semantics/openAccess | 
| eu_rights_str_mv | openAccess | 
| dc.format.es.fl_str_mv | application/pdf | 
| dc.publisher.es.fl_str_mv | Elsevier B.V. | 
| dc.source.es_PE.fl_str_mv | Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Academico - UPC | 
| dc.source.none.fl_str_mv | reponame:UPC-Institucional instname:Universidad Peruana de Ciencias Aplicadas instacron:UPC | 
| instname_str | Universidad Peruana de Ciencias Aplicadas | 
| instacron_str | UPC | 
| institution | UPC | 
| reponame_str | UPC-Institucional | 
| collection | UPC-Institucional | 
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| _version_ | 1846065351553449984 | 
| spelling | Solari, LelySoto, AlonsoVan der Stuyft, Patrick2018-04-04T16:09:20Z2018-04-04T16:09:20Z2018-04Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peru 2018, 69:103 International Journal of Infectious Diseases1201971210.1016/j.ijid.2018.01.026http://hdl.handle.net/10757/623065International Journal of Infectious DiseasesObjectives: To develop a clinical prediction rule (CPR) for the diagnosis of pleural tuberculosis (PT) in patients with pleural exudates in Peru. Methods: Clinical and laboratory information was collected from patients with exudative pleural effusion attending two reference hospitals in Lima, Peru. Predictive findings associated with PT in a multiple logistic regression model were used to develop the CPR. A definite diagnosis of PT was based on a composite reference standard including bacteriological and/or histological analysis of pleural fluid and pleural biopsy specimens. Results: A total of 238 patients were included in the analysis, of whom 176 had PT. Age, sex, previous contact with a TB patient, presence of lymphadenopathy, and pleural adenosine deaminase (ADA) levels were found to be independently associated with PT. These predictive findings were used to construct a CPR, for which the area under the receiver operating characteristics curve (AUC) was 0.92. The single best cut-off point was a score of ≥60 points, which had a sensitivity of 88%, specificity of 92%, a positive likelihood ratio of 10.9, and a negative likelihood ratio of 0.13. Conclusions: The CPR is accurate for the diagnosis of PT and could be useful for treatment initiation while avoiding pleural biopsy. A prospective evaluation is needed before its implementation in different settings.Revisión por paresapplication/pdfengElsevier B.V.http://linkinghub.elsevier.com/retrieve/pii/S1201971218300274info:eu-repo/semantics/openAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Academico - UPCreponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCAadenosine deaminase82418c90-adec-4f57-bb62-939bfa5b0fd9600Clinical prediction rules232c1014-a587-433b-b11f-b4aa02792018600Pleural effusion3ea62186-b84d-4c0d-a524-ecf4dfdb731f600Tuberculosis51b53f02-d5d7-4a2f-96fc-4ab614ca37d8600Development of a clinical prediction rule for the diagnosis of pleural tuberculosis in Peruinfo:eu-repo/semantics/article2018-06-18T02:26:55ZObjectives: To develop a clinical prediction rule (CPR) for the diagnosis of pleural tuberculosis (PT) in patients with pleural exudates in Peru. Methods: Clinical and laboratory information was collected from patients with exudative pleural effusion attending two reference hospitals in Lima, Peru. Predictive findings associated with PT in a multiple logistic regression model were used to develop the CPR. A definite diagnosis of PT was based on a composite reference standard including bacteriological and/or histological analysis of pleural fluid and pleural biopsy specimens. Results: A total of 238 patients were included in the analysis, of whom 176 had PT. Age, sex, previous contact with a TB patient, presence of lymphadenopathy, and pleural adenosine deaminase (ADA) levels were found to be independently associated with PT. These predictive findings were used to construct a CPR, for which the area under the receiver operating characteristics curve (AUC) was 0.92. The single best cut-off point was a score of ≥60 points, which had a sensitivity of 88%, specificity of 92%, a positive likelihood ratio of 10.9, and a negative likelihood ratio of 0.13. Conclusions: The CPR is accurate for the diagnosis of PT and could be useful for treatment initiation while avoiding pleural biopsy. A prospective evaluation is needed before its implementation in different settings.LICENSElicense.txtlicense.txttext/plain; charset=utf-81745https://repositorioacademico.upc.edu.pe/bitstream/10757/623065/1/license.txt248222b1f11c2ad8cb204366338ffb12MD51falseORIGINAL10.1016_j.ijid.2018.01.026.pdf10.1016_j.ijid.2018.01.026.pdfapplication/pdf588137https://repositorioacademico.upc.edu.pe/bitstream/10757/623065/2/10.1016_j.ijid.2018.01.026.pdf9ac42ba030cabbb69b8d61cf640414e3MD52trueTEXT10.1016_j.ijid.2018.01.026.pdf.txt10.1016_j.ijid.2018.01.026.pdf.txtExtracted Texttext/plain31008https://repositorioacademico.upc.edu.pe/bitstream/10757/623065/3/10.1016_j.ijid.2018.01.026.pdf.txtdabba595ce512322f36ea5f95ec32befMD53falseTHUMBNAIL10.1016_j.ijid.2018.01.026.pdf.jpg10.1016_j.ijid.2018.01.026.pdf.jpgGenerated Thumbnailimage/jpeg114077https://repositorioacademico.upc.edu.pe/bitstream/10757/623065/4/10.1016_j.ijid.2018.01.026.pdf.jpg950f6e97cfa0b91dbb830c48d696a643MD54falseelsevier-thumbnail.pngapplication/octet-stream57560https://repositorioacademico.upc.edu.pe/bitstream/10757/623065/5/elsevier-thumbnail.pngaf0b09af239446586a14958eda5d0b61MD55false10757/623065oai:repositorioacademico.upc.edu.pe:10757/6230652019-08-30 07:54:24.577Repositorio académico upcupc@openrepository.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 | 
| score | 13.913218 | 
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    La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
 
   
   
             
            