tetano
Editor, Senior Moderator
J Infect Dis. 2015 May 4. pii: jiv264. [Epub ahead of print]
[h=1]Predictors of Influenza Diagnosis among Patients with Laboratory-Confirmed Influenza.[/h] Miller MR[SUP]1[/SUP], Peters TR[SUP]1[/SUP], Suerken CK[SUP]2[/SUP], Snively BM[SUP]2[/SUP], Poehling KA[SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]OBJECTIVE:[/h] To determine predictors of clinical influenza diagnosis among patients with laboratory-confirmed influenza.
[h=4]METHOD:[/h] From a prospective, laboratory-confirmed influenza surveillance of hospitalized or emergency department patients of all ages with fever/respiratory symptoms (2009-2013), we evaluated all enrolled persons with laboratory-confirmed influenza by viral culture and/or polymerase chain reaction and discharge diagnoses. The primary outcome, clinical influenza diagnosis, was defined as 1) a discharge diagnosis of influenza, 2) a prescription of neuraminidase inhibitor, or 3) a positive rapid test for influenza. Bivariate analyses and multiple logistic regression modeling were performed.
[h=4]RESULTS:[/h] Influenza was diagnosed for 29% of all 504 enrolled patients with laboratory-confirmed influenza, and for 56% of 236 patients with high risk conditions. Overall, clinical influenza diagnosis was predicted by race/ethnicity, insurance status, year, being hospitalized, having high risk conditions, and not having bacterial diagnosis. Being diagnosed with a bacterial infection reduced the odds of an influenza diagnosis over 3-fold for all patients and for patients with high risk conditions.
[h=4]CONCLUSIONS:[/h] Many influenza-positive patients, including those with high risk conditions, are not clinically diagnosed with influenza. The pattern of clinical diagnoses among influenza-positive patients suggests preferential consideration of bacterial diseases as a diagnosis.
? The Author 2015. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
PMID: 25941330 [PubMed - as supplied by publisher]
[h=1]Predictors of Influenza Diagnosis among Patients with Laboratory-Confirmed Influenza.[/h] Miller MR[SUP]1[/SUP], Peters TR[SUP]1[/SUP], Suerken CK[SUP]2[/SUP], Snively BM[SUP]2[/SUP], Poehling KA[SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]OBJECTIVE:[/h] To determine predictors of clinical influenza diagnosis among patients with laboratory-confirmed influenza.
[h=4]METHOD:[/h] From a prospective, laboratory-confirmed influenza surveillance of hospitalized or emergency department patients of all ages with fever/respiratory symptoms (2009-2013), we evaluated all enrolled persons with laboratory-confirmed influenza by viral culture and/or polymerase chain reaction and discharge diagnoses. The primary outcome, clinical influenza diagnosis, was defined as 1) a discharge diagnosis of influenza, 2) a prescription of neuraminidase inhibitor, or 3) a positive rapid test for influenza. Bivariate analyses and multiple logistic regression modeling were performed.
[h=4]RESULTS:[/h] Influenza was diagnosed for 29% of all 504 enrolled patients with laboratory-confirmed influenza, and for 56% of 236 patients with high risk conditions. Overall, clinical influenza diagnosis was predicted by race/ethnicity, insurance status, year, being hospitalized, having high risk conditions, and not having bacterial diagnosis. Being diagnosed with a bacterial infection reduced the odds of an influenza diagnosis over 3-fold for all patients and for patients with high risk conditions.
[h=4]CONCLUSIONS:[/h] Many influenza-positive patients, including those with high risk conditions, are not clinically diagnosed with influenza. The pattern of clinical diagnoses among influenza-positive patients suggests preferential consideration of bacterial diseases as a diagnosis.
? The Author 2015. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
PMID: 25941330 [PubMed - as supplied by publisher]