Linked Life Data

11716133

Source:http://linkedlifedata.com/resource/pubmed/id/11716133

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2001-11-21
pubmed:abstractText
During heavy seasonal rainfall in 1996, concurrent epidemics of dengue and leptospirosis occurred in an urban center in northeastern Brazil. We interviewed 110 cases of leptospirosis hospitalized a median of seven days after the onset of illness to evaluate the impact of the dengue epidemic on the triage of suspected leptospirosis from ambulatory clinics to the infectious disease reference hospital. Within the first three days of illness, 46 (42%) cases sought their first medical evaluation, and 28 (61% of 46) received a diagnosis of dengue. Dengue diagnoses were associated with a median of five days delay in referral to the infectious disease hospital. Patients who reported initial diagnoses of dengue were more likely than other patients to have required admission to the intensive care unit (odds ratio [OR] = 2.7, 95% confidence interval [CI] = 0.8-9.5) and to have died during hospitalization (OR = 5.1, 95% CI = 0.8-55.0). These findings indicate that diagnostic confusion between the early symptoms of leptospirosis and dengue may have contributed to the high mortality observed during the leptospirosis epidemic.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0002-9637
pubmed:author
pubmed:issnType
Print
pubmed:volume
65
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
657-63
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Referral pattern of leptospirosis cases during a large urban epidemic of dengue.
pubmed:affiliation
Department of Public Health Biology and Epidemiology, School of Public Health, University of California, Berkeley 94720-7360, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't