Predicting bacteremia at the bedside
ABSTRACT: Our aim was to develop a clinical prediction rule for detection of bacteremia in a cohort of patients observed prospectively at a reference center in Medellín, Colombia. The significant predictors of bacteremia were an age of >or=30 years (odds ratio [OR], 2.07; 95% confidence interval...
- Autores:
-
Jaimes Barragán, Fabián Alberto
Arango Toro, Clara María
Ruiz, Giovanni
Botero, Juan
Vélez, Gloria
Upegui, Natalia
Machado, Faber
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2004
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/39577
- Acceso en línea:
- https://hdl.handle.net/10495/39577
- Palabra clave:
- Factores de Edad
Age Factors
Bacteriemia
Bacteriemia
Diagnóstico
Diagnosis
Epidemiología
Epidemiology
Temperatura Corporal
Body Temperature
Cateterismo Venoso Central
Catheterization, Central Venous
Frecuencia Cardíaca
Heart Rate
Tiempo de Internación
Length of Stay
Leucocitos
Leukocytes
Valor Predictivo de las Pruebas
Predictive Value of Tests
https://id.nlm.nih.gov/mesh/D000367
https://id.nlm.nih.gov/mesh/D016470
https://id.nlm.nih.gov/mesh/D003933
https://id.nlm.nih.gov/mesh/D004813
https://id.nlm.nih.gov/mesh/D001831
https://id.nlm.nih.gov/mesh/D002405
https://id.nlm.nih.gov/mesh/D006339
https://id.nlm.nih.gov/mesh/D007902
https://id.nlm.nih.gov/mesh/D007962
https://id.nlm.nih.gov/mesh/D011237
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
| id |
UDEA2_db4a54587640dd152647509d24ad5bf5 |
|---|---|
| oai_identifier_str |
oai:bibliotecadigital.udea.edu.co:10495/39577 |
| network_acronym_str |
UDEA2 |
| network_name_str |
Repositorio UdeA |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Predicting bacteremia at the bedside |
| title |
Predicting bacteremia at the bedside |
| spellingShingle |
Predicting bacteremia at the bedside Factores de Edad Age Factors Bacteriemia Bacteriemia Diagnóstico Diagnosis Epidemiología Epidemiology Temperatura Corporal Body Temperature Cateterismo Venoso Central Catheterization, Central Venous Frecuencia Cardíaca Heart Rate Tiempo de Internación Length of Stay Leucocitos Leukocytes Valor Predictivo de las Pruebas Predictive Value of Tests https://id.nlm.nih.gov/mesh/D000367 https://id.nlm.nih.gov/mesh/D016470 https://id.nlm.nih.gov/mesh/D003933 https://id.nlm.nih.gov/mesh/D004813 https://id.nlm.nih.gov/mesh/D001831 https://id.nlm.nih.gov/mesh/D002405 https://id.nlm.nih.gov/mesh/D006339 https://id.nlm.nih.gov/mesh/D007902 https://id.nlm.nih.gov/mesh/D007962 https://id.nlm.nih.gov/mesh/D011237 |
| title_short |
Predicting bacteremia at the bedside |
| title_full |
Predicting bacteremia at the bedside |
| title_fullStr |
Predicting bacteremia at the bedside |
| title_full_unstemmed |
Predicting bacteremia at the bedside |
| title_sort |
Predicting bacteremia at the bedside |
| dc.creator.fl_str_mv |
Jaimes Barragán, Fabián Alberto Arango Toro, Clara María Ruiz, Giovanni Botero, Juan Vélez, Gloria Upegui, Natalia Machado, Faber |
| dc.contributor.author.none.fl_str_mv |
Jaimes Barragán, Fabián Alberto Arango Toro, Clara María Ruiz, Giovanni Botero, Juan Vélez, Gloria Upegui, Natalia Machado, Faber |
| dc.contributor.researchgroup.spa.fl_str_mv |
Grupo Académico de Epidemiología Clínica |
| dc.subject.decs.none.fl_str_mv |
Factores de Edad Age Factors Bacteriemia Bacteriemia Diagnóstico Diagnosis Epidemiología Epidemiology Temperatura Corporal Body Temperature Cateterismo Venoso Central Catheterization, Central Venous Frecuencia Cardíaca Heart Rate Tiempo de Internación Length of Stay Leucocitos Leukocytes Valor Predictivo de las Pruebas Predictive Value of Tests |
| topic |
Factores de Edad Age Factors Bacteriemia Bacteriemia Diagnóstico Diagnosis Epidemiología Epidemiology Temperatura Corporal Body Temperature Cateterismo Venoso Central Catheterization, Central Venous Frecuencia Cardíaca Heart Rate Tiempo de Internación Length of Stay Leucocitos Leukocytes Valor Predictivo de las Pruebas Predictive Value of Tests https://id.nlm.nih.gov/mesh/D000367 https://id.nlm.nih.gov/mesh/D016470 https://id.nlm.nih.gov/mesh/D003933 https://id.nlm.nih.gov/mesh/D004813 https://id.nlm.nih.gov/mesh/D001831 https://id.nlm.nih.gov/mesh/D002405 https://id.nlm.nih.gov/mesh/D006339 https://id.nlm.nih.gov/mesh/D007902 https://id.nlm.nih.gov/mesh/D007962 https://id.nlm.nih.gov/mesh/D011237 |
| dc.subject.meshuri.none.fl_str_mv |
https://id.nlm.nih.gov/mesh/D000367 https://id.nlm.nih.gov/mesh/D016470 https://id.nlm.nih.gov/mesh/D003933 https://id.nlm.nih.gov/mesh/D004813 https://id.nlm.nih.gov/mesh/D001831 https://id.nlm.nih.gov/mesh/D002405 https://id.nlm.nih.gov/mesh/D006339 https://id.nlm.nih.gov/mesh/D007902 https://id.nlm.nih.gov/mesh/D007962 https://id.nlm.nih.gov/mesh/D011237 |
| description |
ABSTRACT: Our aim was to develop a clinical prediction rule for detection of bacteremia in a cohort of patients observed prospectively at a reference center in Medellín, Colombia. The significant predictors of bacteremia were an age of >or=30 years (odds ratio [OR], 2.07; 95% confidence interval [CI], 1.19-3.60), a heart rate of >or=90 beats/min (OR, 1.90; 95% CI, 1.13-3.17), a temperature of >or=37.8 degrees C (OR, 2.42; 95% CI, 1.41-4.14), a leukocyte count of >or=12,000 cells/microL (OR, 2.40; 95% CI, 1.41-4.10), use of a central venous catheter (OR, 1.89; 95% CI, 1.02-3.50), and a length of hospitalization of >or=10 days (OR, 2.02; 95% CI, 1.25-3.24). The Hosmer-Lemeshow test revealed a goodness-of-fit of 2.99 (P=.981), and the area under the receiver operating characteristics curve was 0.7186. Simple variables obtained from the clinical history of patients are associated with bloodstream infection in a reproducible fashion and should be instrumental for prioritizing the requests for blood cultures by clinicians. |
| publishDate |
2004 |
| dc.date.issued.none.fl_str_mv |
2004 |
| dc.date.accessioned.none.fl_str_mv |
2024-06-03T12:26:36Z |
| dc.date.available.none.fl_str_mv |
2024-06-03T12:26:36Z |
| dc.type.spa.fl_str_mv |
Artículo de investigación |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/ART |
| dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| status_str |
publishedVersion |
| dc.identifier.citation.spa.fl_str_mv |
Jaimes F, Arango C, Ruiz G, Cuervo J, Botero J, Vélez G, Upegui N, Machado F. Predicting bacteremia at the bedside. Clin Infect Dis. 2004 Feb 1;38(3):357-62. doi: 10.1086/380967. |
| dc.identifier.issn.none.fl_str_mv |
1058-4838 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10495/39577 |
| dc.identifier.doi.none.fl_str_mv |
10.1086/380967 |
| dc.identifier.eissn.none.fl_str_mv |
1537-6591 |
| identifier_str_mv |
Jaimes F, Arango C, Ruiz G, Cuervo J, Botero J, Vélez G, Upegui N, Machado F. Predicting bacteremia at the bedside. Clin Infect Dis. 2004 Feb 1;38(3):357-62. doi: 10.1086/380967. 1058-4838 10.1086/380967 1537-6591 |
| url |
https://hdl.handle.net/10495/39577 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Clin. Infect. Dis. |
| dc.relation.citationendpage.spa.fl_str_mv |
362 |
| dc.relation.citationissue.spa.fl_str_mv |
3 |
| dc.relation.citationstartpage.spa.fl_str_mv |
357 |
| dc.relation.citationvolume.spa.fl_str_mv |
38 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Clinical Infectious Diseases |
| dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/2.5/co/ |
| dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/2.5/co/ https://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.extent.spa.fl_str_mv |
6 páginas |
| dc.format.mimetype.spa.fl_str_mv |
application/pdf |
| dc.publisher.spa.fl_str_mv |
Oxford University Press |
| dc.publisher.place.spa.fl_str_mv |
Chicago, Estados Unidos |
| institution |
Universidad de Antioquia |
| bitstream.url.fl_str_mv |
https://bibliotecadigital.udea.edu.co/bitstreams/6f724600-2d68-48a8-b098-a615491f247d/download https://bibliotecadigital.udea.edu.co/bitstreams/435eabbb-5d39-4eaa-b7f1-9b53300b68ed/download https://bibliotecadigital.udea.edu.co/bitstreams/a1fd0da9-6d9f-4a0a-9d4a-f10ac577bc0f/download https://bibliotecadigital.udea.edu.co/bitstreams/9030e705-0c59-4c20-809d-1104e6d4ee86/download https://bibliotecadigital.udea.edu.co/bitstreams/94f7b4b2-b486-475c-a394-1daaafde8c25/download |
| bitstream.checksum.fl_str_mv |
b88b088d9957e670ce3b3fbe2eedbc13 8a4605be74aa9ea9d79846c1fba20a33 18cdbd6b7bb23229b0d8b0bb2da1bd17 d9676ed31ff042f3e7b164abff5c41f8 b09dd28fd530bfe23e32243fc12f1201 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional de la Universidad de Antioquia |
| repository.mail.fl_str_mv |
aplicacionbibliotecadigitalbiblioteca@udea.edu.co |
| _version_ |
1851052432762601472 |
| spelling |
Jaimes Barragán, Fabián AlbertoArango Toro, Clara MaríaRuiz, GiovanniBotero, JuanVélez, GloriaUpegui, NataliaMachado, FaberGrupo Académico de Epidemiología Clínica2024-06-03T12:26:36Z2024-06-03T12:26:36Z2004Jaimes F, Arango C, Ruiz G, Cuervo J, Botero J, Vélez G, Upegui N, Machado F. Predicting bacteremia at the bedside. Clin Infect Dis. 2004 Feb 1;38(3):357-62. doi: 10.1086/380967.1058-4838https://hdl.handle.net/10495/3957710.1086/3809671537-6591ABSTRACT: Our aim was to develop a clinical prediction rule for detection of bacteremia in a cohort of patients observed prospectively at a reference center in Medellín, Colombia. The significant predictors of bacteremia were an age of >or=30 years (odds ratio [OR], 2.07; 95% confidence interval [CI], 1.19-3.60), a heart rate of >or=90 beats/min (OR, 1.90; 95% CI, 1.13-3.17), a temperature of >or=37.8 degrees C (OR, 2.42; 95% CI, 1.41-4.14), a leukocyte count of >or=12,000 cells/microL (OR, 2.40; 95% CI, 1.41-4.10), use of a central venous catheter (OR, 1.89; 95% CI, 1.02-3.50), and a length of hospitalization of >or=10 days (OR, 2.02; 95% CI, 1.25-3.24). The Hosmer-Lemeshow test revealed a goodness-of-fit of 2.99 (P=.981), and the area under the receiver operating characteristics curve was 0.7186. Simple variables obtained from the clinical history of patients are associated with bloodstream infection in a reproducible fashion and should be instrumental for prioritizing the requests for blood cultures by clinicians.COL00071216 páginasapplication/pdfengOxford University PressChicago, Estados Unidoshttp://creativecommons.org/licenses/by-nc-nd/2.5/co/https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Predicting bacteremia at the bedsideArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionFactores de EdadAge FactorsBacteriemiaBacteriemiaDiagnósticoDiagnosisEpidemiologíaEpidemiologyTemperatura CorporalBody TemperatureCateterismo Venoso CentralCatheterization, Central VenousFrecuencia CardíacaHeart RateTiempo de InternaciónLength of StayLeucocitosLeukocytesValor Predictivo de las PruebasPredictive Value of Testshttps://id.nlm.nih.gov/mesh/D000367https://id.nlm.nih.gov/mesh/D016470https://id.nlm.nih.gov/mesh/D003933https://id.nlm.nih.gov/mesh/D004813https://id.nlm.nih.gov/mesh/D001831https://id.nlm.nih.gov/mesh/D002405https://id.nlm.nih.gov/mesh/D006339https://id.nlm.nih.gov/mesh/D007902https://id.nlm.nih.gov/mesh/D007962https://id.nlm.nih.gov/mesh/D011237Clin. Infect. Dis.362335738Clinical Infectious DiseasesPublicationCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8823https://bibliotecadigital.udea.edu.co/bitstreams/6f724600-2d68-48a8-b098-a615491f247d/downloadb88b088d9957e670ce3b3fbe2eedbc13MD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/435eabbb-5d39-4eaa-b7f1-9b53300b68ed/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADORIGINALJaimesFabian_2004_Predicting_Bacteremia_Bedside.pdfJaimesFabian_2004_Predicting_Bacteremia_Bedside.pdfArtículo de investigaciónapplication/pdf132651https://bibliotecadigital.udea.edu.co/bitstreams/a1fd0da9-6d9f-4a0a-9d4a-f10ac577bc0f/download18cdbd6b7bb23229b0d8b0bb2da1bd17MD51trueAnonymousREADTEXTJaimesFabian_2004_Predicting_Bacteremia_Bedside.pdf.txtJaimesFabian_2004_Predicting_Bacteremia_Bedside.pdf.txtExtracted texttext/plain31618https://bibliotecadigital.udea.edu.co/bitstreams/9030e705-0c59-4c20-809d-1104e6d4ee86/downloadd9676ed31ff042f3e7b164abff5c41f8MD54falseAnonymousREADTHUMBNAILJaimesFabian_2004_Predicting_Bacteremia_Bedside.pdf.jpgJaimesFabian_2004_Predicting_Bacteremia_Bedside.pdf.jpgGenerated Thumbnailimage/jpeg14624https://bibliotecadigital.udea.edu.co/bitstreams/94f7b4b2-b486-475c-a394-1daaafde8c25/downloadb09dd28fd530bfe23e32243fc12f1201MD55falseAnonymousREAD10495/39577oai:bibliotecadigital.udea.edu.co:10495/395772025-03-26 22:16:44.041http://creativecommons.org/licenses/by-nc-nd/2.5/co/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |