Access the full text.
Sign up today, get DeepDyve free for 14 days.
S. Vugt, B. Broekhuizen, C. Lammens, N. Zuithoff, P. Jong, S. Coenen, M. Ieven, C. Butler, H. Goossens, P. Little, T. Verheij (2013)
Use of serum C reactive protein and procalcitonin concentrations in addition to symptoms and signs to predict pneumonia in patients presenting to primary care with acute cough: diagnostic studyThe BMJ, 346
G. Boivin, I. Hardy, G. Tellier, J. Maziade (2000)
Predicting influenza infections during epidemics with use of a clinical case definition.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 31 5
A. Mackinnon (2010)
The use and reporting of multiple imputation in medical research – a reviewJournal of Internal Medicine, 268
S. Straus (2010)
Evidence-Based Medicine: How to Practice and Teach It
D. Altman, P. Royston (2000)
What do we mean by validating a prognostic model?Statistics in medicine, 19 4
B. Michiels, I. Thomas, P. Royen, S. Coenen (2011)
Clinical prediction rules combining signs, symptoms and epidemiological context to distinguish influenza from influenza-like illnesses in primary care: a cross sectional studyBMC Family Practice, 12
B. Eskin, Robert Levy (2007)
Evidence-based emergency medicine/rational clinical examination abstract. Does this patient have influenza?Annals of emergency medicine, 49 1
F. Carrat, E. Vergu, N. Ferguson, M. Lemaitre, S. Cauchemez, S. Leach, A. Valleron (2008)
Time lines of infection and disease in human influenza: a review of volunteer challenge studies.American journal of epidemiology, 167 7
H. Talbot, A. Falsey (2010)
The Diagnosis of Viral Respiratory Disease in Older AdultsClinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America, 50
E. Hak, E. Buskens, G. Essen, D. Bakker, D. Grobbee, M. Tacken, B. Hout, T. Verheij (2005)
Clinical effectiveness of influenza vaccination in persons younger than 65 years with high-risk medical conditions: the PRISMA study.Archives of internal medicine, 165 3
A. Fowlkes, Sharoda Dasgupta, E. Chao, J. Lemmings, K. Goodin, M. Harris, K. Martin, Michelle Feist, Winfred Wu, R. Boulton, J. Temte, L. Brammer, L. Finelli (2012)
Estimating influenza incidence and rates of influenza‐like illness in the outpatient settingInfluenza and Other Respiratory Viruses, 7
C. Mann (2009)
Clinical Prediction Models: A Practical Approach to Development, Validation and UpdatingKybernetes, 38
L. Elden, G. Essen, C. Boucher, A. Loon, M. Nijhuis, P. Schipper, T. Verheij, I. Hoepelman (2001)
Clinical diagnosis of influenza virus infection: evaluation of diagnostic tools in general practice.The British journal of general practice : the journal of the Royal College of General Practitioners, 51 469
M. Ebell, Anna Afonso (2011)
A Systematic Review of Clinical Decision Rules for the Diagnosis of InfluenzaThe Annals of Family Medicine, 9
B. Michiels, Karolien Puyenbroeck, V. Verhoeven, E. Vermeire, S. Coenen (2013)
The Value of Neuraminidase Inhibitors for the Prevention and Treatment of Seasonal Influenza: A Systematic Review of Systematic ReviewsPLoS ONE, 8
Lincoln Lau, B. Cowling, V. Fang, Kwok-Hung Chan, E. Lau, M. Lipsitch, Calvin Cheng, P. Houck, T. Uyeki, J. Peiris, G. Leung (2010)
Viral Shedding and Clinical Illness in Naturally Acquired Influenza Virus InfectionsThe Journal of Infectious Diseases, 201
M. Ebell, Anna Afonso, R. Gonzales, J. Stein, B. Genton, N. Senn (2012)
Development and Validation of a Clinical Decision Rule for the Diagnosis of InfluenzaThe Journal of the American Board of Family Medicine, 25
M. Woodhead, F. Blasi, S. Ewig, J. Garau, G. Huchon, M. Ieven, Å. Örtqvist, T. Schaberg, A. Torres, G. Heijden, R. Read, T. Verheij (2011)
Guidelines for the management of adult lower respiratory tract infections ‐ Full versionClinical Microbiology and Infection, 17
N. Senn, B. Favrat, V. D'Acremont, C. Ruffieux, B. Genton (2005)
How critical is timing for the diagnosis of influenza in general practice?Swiss medical weekly, 135 41-42
D. Redelmeier, A. Lustig (2001)
Prognostic indices in clinical practice.JAMA, 285 23
F. Carrat, A. Tachet, C. Rouzioux, B. Housset, A. Valleron (1999)
Evaluation of clinical case definitions of influenza: detailed investigation of patients during the 1995-1996 epidemic in France.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 28 2
T. Govaert, G. Dinant, K. Aretz, J. Knottnerus (1998)
The predictive value of influenza symptomatology in elderly people.Family practice, 15 1
S. Satya‐Murti (1997)
Evidence-based Medicine: How to Practice and Teach EBMJAMA, 278
A. Nicoll, M. Mckee (2010)
Moderate pandemic, not many dead--learning the right lessons in Europe from the 2009 pandemic.European journal of public health, 20 5
D. Urbach, P. Austin (2005)
Conventional models overestimate the statistical significance of volume-outcome associations, compared with multilevel models.Journal of clinical epidemiology, 58 4
A. Justice, K. Covinsky, Jesse Berlin (1999)
Assessing the Generalizability of Prognostic InformationAnnals of Internal Medicine, 130
K. Loens, A. Loon, F. Coenjaerts, Y. Aarle, H. Goossens, P. Wallace, E. Claas, M. Ieven (2011)
Performance of Different Mono- and Multiplex Nucleic Acid Amplification Tests on a Multipathogen External Quality Assessment PanelJournal of Clinical Microbiology, 50
T. Jefferson, Mark Jones, P. Doshi, C. Mar (2009)
Neuraminidase inhibitors for preventing and treating influenza in healthy adults: systematic review and meta-analysisThe BMJ, 339
K. Moons, R. Donders, T. Stijnen, F. Harrell (2006)
Using the outcome for imputation of missing predictor values was preferred.Journal of clinical epidemiology, 59 10
J. Macfarlane, R. Macfarlane, D. Rose, A. Colville, A. Guion (1993)
Prospective study of aetiology and outcome of adult lower-respiratory-tract infections in the communityThe Lancet, 341
V. Sintchenko, V. Sintchenko, Gwendolyn Gilbert, E. Coiera, D. Dwyer (2002)
Treat or test first? Decision analysis of empirical antiviral treatment of influenza virus infection versus treatment based on rapid test results.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 25 1
J. Stein, J. Louie, S. Flanders, J. Maselli, J. Hacker, W. Drew, R. Gonzales (2005)
Performance characteristics of clinical diagnosis, a clinical decision rule, and a rapid influenza test in the detection of influenza infection in a community sample of adults.Annals of emergency medicine, 46 5
E. Hak, K. Moons, T. Verheij, A. Hoes (2001)
Clinical signs and symptoms predicting influenza infection.Archives of internal medicine, 161 10
AbstractBackground.Valid clinical predictors of influenza in patients presenting with lower respiratory tract infection (LRTI) symptoms would provide adequate patient information and reassurance.Aim.Assessing the validity of an existing diagnostic model (Flu Score) to detect influenza in LRTI patients.Design and Setting.A European diagnostic study recruited 1801 adult primary care patients with LRTI-like symptoms existing ≤7 days between October and April 2007–2010.Method.History and physical examination findings were recorded and nasopharyngeal swabs taken. Polymerase chain reaction (PCR) for influenza A/B was performed as reference test. Diagnostic accuracy of the Flu Score (1× onset <48 hours + 2× myalgia + 1× chills or sweats + 2× fever and cough) was expressed as area under the curve (AUC), calibration slopes and likelihood ratios (LRs).Results.A total of 273 patients (15%) had influenza on PCR. The AUC of the Flu Score during winter months was 0.66 [95% CI (95% confidence internal) 0.63–0.70]. During peak influenza season, both influenza prevalence (24%) and AUC were higher [0.71 (95% CI 0.66–0.76], but calibration remained poor. The Flu Score assigned 64% of the patients as ‘low-risk’ (10% had influenza, LR − 0.6). About 12% were classified as ‘high risk’ of whom 32% had influenza (LR + 2.7). During peak influenza season, 60% and 14% of patients were classified as low and high risk, respectively, with influenza prevalences being 14% (LR − 0.5) and 50% (LR + 3.2).Conclusion.The Flu-Score attributes a small subgroup of patients with a high influenza risk (prevalence 32%). However, clinical usefulness is limited because this group is small and the association between predicted and observed risks is poor. Considerable diagnostic imprecision remains when it comes to differentiating those with influenza on clinical grounds from the many other causes of LRTI in primary care. New point of care tests are required that accurately, rapidly and cost effectively detect influenza in patients with respiratory tract symptoms in primary care.
Family Practice – Oxford University Press
Published: Aug 1, 2015
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.