PURPOSE In this study, we assessed whether multivariate models and clinical decision rules can be used to reliably diagnose infl uenza.
METHODSWe conducted a systematic review of MEDLINE, bibliographies of relevant studies, and previous meta-analyses. We searched the literature for articles evaluating the accuracy of multivariate models, clinical decision rules, or simple heuristics for the diagnosis of infl uenza. Each author independently reviewed and abstracted data from each article; discrepancies were resolved by consensus discussion. Where possible, we calculated sensitivity, specifi city, predictive value, likelihood ratios, and areas under the receiver operating characteristic curve.
RESULTSA total of 12 studies met our inclusion criteria. No study prospectively validated a multivariate model or clinical decision rule, and no study performed a split-sample or bootstrap validation of such a model. Simple heuristics such as the so-called fever and cough rule and the fever, cough, and acute onset rule were each evaluated by several studies in populations of adults and children. The areas under the receiver operating characteristic curves were 0.70 and 0.79, respectively. We could not calculate a single summary estimate, however, as the diagnostic threshold varied among studies.
CONCLUSIONSThe fever and cough, and the fever, cough, and acute onset heuristics have modest accuracy, but summary estimates could not be calculated. Further research is needed to develop and prospectively validate clinical decision rules to identify patients requiring testing, empiric treatment, or neither.
INTRODUCTIONA ccurate diagnosis of infl uenza is important for several reasons. If the probability of disease exceeds the treatment threshold or is below the testing threshold, no further testing is needed. If offi ce-based testing is performed, its interpretation depends on the pretest probability of disease. And, although a systematic review found that neuraminidase inhibitors are of only modest benefi t in patients with undifferentiated infl uenza-like illness, greater benefi t was seen in patients who actually had laboratory-confi rmed infl uenza.1 Accurate diagnosis is also helpful because it enables a more accurate prognosis, implicitly rules out other diagnoses, and guides patient education; however, 2 previous meta-analyses 2,3 showed that individual fi ndings on the history and physical examination have only modest accuracy for the clinical diagnosis of infl uenza (Table 1). These studies did fi nd that certain combinations of variables, such as the combination of fever plus cough, the combination of fever, cough, and acute onset, 3 and the combination of fever plus presentation within 3 days, 2 had positive likelihood ratios for infl uenza between 4.0 and 5.4. These results suggest that clinical decision rules (CDRs) that integrate data from several clinical fi ndings and are developed using multivariate methods might be helpful.Economic analyses have shown that diagnostic testing is cost-effective only when t...