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Research ArticleOriginal Research

Development and Validation of a Clinical Decision Rule for the Diagnosis of Influenza

Mark H. Ebell, Anna M. Afonso, Ralph Gonzales, John Stein, Blaise Genton and Nicolas Senn
The Journal of the American Board of Family Medicine January 2012, 25 (1) 55-62; DOI: https://doi.org/10.3122/jabfm.2012.01.110161
Mark H. Ebell
MS, MD
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Anna M. Afonso
BS
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Ralph Gonzales
MD, MSPH
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John Stein
MD
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Blaise Genton
MD
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Nicolas Senn
MD
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Article Figures & Data

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    Table 1.

    Characteristics of Included Studies

    Swiss Population* (n = 201)US Population† (n = 258)
    Data collection periodDecember 1999 to February 2000January to March 2002
    Study designProspective cohortProspective cohort
    SettingUniversity primary care clinic that serves an urban population of 150,000 in Lausanne, SwitzerlandEmergency department or urgent care ambulatory patients in a large tertiary care university hospital in San Francisco, California
    Inclusion criteriaAdult outpatients with influenza-like illness as determined by the primary care physicianConsecutive adults with symptoms of an acute respiratory tract infection (cough, sinus pain, congestion/rhinorrhea, sore throat or fever) developing in past 3 weeks
    OutcomePresence of influenza A or BPresence of influenza A or B
    Reference standardCulturePCR
    Prevalence of influenza104 (52.8)53 (20.5)
    Men101 (50)103‡ (40)
    Mean age, years (range)34.3 (17–86)38.8 (18–90)
    Fever116 (58)54 (21)
    Cough186 (93)235 (91)
    Sore throat151 (75)181 (70)
    Myalgia181 (90)154 (60)
    Rhinitis163 (81)185 (72)
    Headache169 (84)190 (74)
    Chills/sweating166 (83)158 (61)
    Fatigue184 (92)197 (76)
    Onset <48 hours106 (53)45 (17)
    • Values provided as n (%) unless otherwise indicated.

    • ↵* Data from Ref. 14.

    • ↵† Data from Ref. 5.

    • ↵‡ Out of 256 total patients.

    • NR, not reported; PCR, polymerase chain reaction.

    • View popup
    Table 2.

    Univariate Analysis of Individual and Pooled Datasets

    Senn, 200514Stein, 20055Combined Datasets
    Total patients (n)201258459
    Male0.77 (0.44–1.34)0.74 (0.39–1.4)0.9 (0.61–1.33)
    Fever4.24 (2.33–7.71)3.84 (1.98–7.45)5.55 (3.65–8.45)
    Myalgia2.76 (1.01–7.49)4.22 (1.96–9.1)5.35 (2.99–9.56)
    Chills/sweating2.05 (0.97–4.35)3.37 (1.6–7.06)3.43 (2.08–5.66)
    Cough3.2 (0.98–10.41)1.8 (0.51–6.31)2.45 (1.05–5.7)
    Fatigue0.95 (0.35–2.57)2.35 (1.00–5.52)2.28 (1.26–4.10)
    Rhinitis0.96 (0.47–1.94)2.22 (1.02–4.82)1.65 (1.02–2.65)
    Headache1.09 (0.51–2.31)1.7 (0.8–3.6)1.64 (1.00–2.68)
    Sore throat0.99 (0.52–1.87)0.98 (0.51–1.89)1.07 (0.7–1.65)
    Onset <48 hours3.20 (1.79–5.69)1.76 (0.85–3.65)3.69 (2.44–5.58)
    • Values provided as odds ratio (95% CI) unless otherwise indicated.

    • Bold values are significant at P ≤.05.

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    Table 3.

    Clinical Decision Rules Based on Multivariate Models from Combined Dataset (Flu Scores 1 to 3) and Multivariate Model of Monto et al13 (Flu Scores 4 and 5)

    Clinical VariableBetaOdds ratio (95% CI)Points
    Flu score 1
        Fever1.2253.40 (1.97–5.89)7
        Cough0.9122.49 (0.95–6.49)5
        Onset <48 hours0.7272.07 (1.17–3.65)4
        Myalgias1.3864.00 (1.91–8.39)8
        Constant−3.423
    Flu score 2
        Fever0.7632.14 (1.13–4.06)2
        Myalgia1.3043.68 (1.72–7.90)4
        Chills/sweats0.4301.54 (0.79–2.97)2
        Fever, cough, acute1.4434.23 (1.95–9.19)4
        Constant−2.686
    Flu score 3
        Onset <48 hours0.7212.06 (1.19–3.55)1
        Myalgia1.2603.53 (1.65–7.53)2
        Chills/sweats0.4011.49 (0.78–2.87)1
        Fever and cough1.3613.90 (2.27–6.70)2
        Constant−2.808
    Flu score 4
        Fever (temp ≥37.8°C)1.1823.263.0
        Cough1.0472.853.0
        Nasal congestion0.6831.982.0
        Age ≥55 years0.4701.601.5
        Weakness0.4321.541.5
        Onset <48 hours0.4251.531.5
        Male0.2391.271.0
        Sore throat−0.3290.72−1.0
    Flu score 5
        Fever1.1823.263
        Cough1.0472.853
        Nasal congestion0.6831.982
        Age ≥55 years0.4701.601
        Weakness0.4321.541
        Onset <48 hours0.4251.531
        Male sex0.2391.271
        Sore throat−0.3290.72−1
    • View popup
    Table 4.

    Performance of Clinical Prediction Rules and Simple Heuristics for the Diagnosis of Influenza

    Derivation groupValidation groupAll patients
    Flu/Total (%)LRIn Group (%)Flu/Total (%)LRIn Group (%)Flu/Total (%, 95% CI)LRIn Group (%)
    Flu score 1
        Low risk (0–11)7/86 (8.1)0.1726.41/34 (2.9)0.0625.68/120 (6.7, 3.4–12.6)0.1426.1
        Moderate risk (12–15)24/106 (22.6)0.5732.516/46 (34.8)0.9834.640/152 (26.3, 20.0–33.8)0.6933.1
        High risk (16–24)79/134 (59.0)2.8241.130/53 (56.6)2.3939.8109/187 (58.3, 51.1–65.1)2.6940.7
    Flu score 2
        Low risk (0–2)6/77 (7.8)0.1723.61/32 (3.1)0.0624.17/109 (6.4, 3.1–12.7)0.1323.7
        Moderate risk (4–6)44/149 (29.5)0.8245.716/56 (28.6)0.7342.160/205 (29.3, 23.5–35.8)0.8044.7
        High risk (8–12)60/100 (60.0)2.9530.730/45 (66.7)3.6633.890/145 (62.1, 54.0–69.6)3.1531.6
    Flu score 3
        Low risk (0–2)10/109 (9.2)0.2033.42/40 (5.0)0.1030.112/149 (8.1, 4.7–13.5)0.1732.5
        Moderate risk (3)25/90 (27.8)0.7627.614/39 (35.9)1.0229.339/129 (30.2, 23.0–38.6)0.8328.1
        High risk (4–6)75/127 (59.1)2.8339.031/54 (57.4)2.4740.6106/181 (58.6, 51.3–65.5)2.7239.4
    Flu score 4
        Low risk (−1–3)4/36 (11.1)0.2511.11/19 (5.3)0.1014.35/55 (9.1, 4.0–19.6)0.1912.0
        Moderate risk (4–8)36/166 (21.7)0.5551.217/65 (26.2)0.6548.953/231 (22.9, 18.0–28.8)0.5750.5
        High risk (9–11)69/122 (56.6)2.5737.729/49 (59.2)2.6536.898/171 (57.1, 49.8–64.5)2.5937.4
    Flu score 5
        Low risk (0–11)3/28 (10.7)0.248.60/17 (0.0)0.012.83/45 (6.7, 2.3–17.9)0.149.8
        Moderate risk (12–16)59/220 (26.8)0.7267.926/84 (31.0)0.8263.285/304 (28.0, 23.2–33.3)0.7566.5
        High risk (17+)47/76 (61.8)3.2023.521/32 (65.6)4.2724.168/108 (63.0, 53.6–71.5)3.2823.6
    Heuristics
        Fever, cough
            Positive (both present)NANA96/157 (61.1, 53.4–68.4)3.0334.2
            Negative (0 or 1 present)NANA61/302 (20.2, 16.1–25.1)0.4965.8
        Fever, cough, and acute-onset
            Positive (all 3 present)NANA64/86 (74.4, 64.3–82.5)5.5918.7
            Negative (0, 1, or 2 present)NANA93/373 (24.9, 20.8–29.6)0.6481.3
    • View popup
    Table 5.

    Predictive Values Based on Integration of Pretest Probability and Diagnostic Test With Flu Score 3* Using Test and Treatment Thresholds of 10% and 50%, Respectively

    Season/Risk CategoryProbability of Influenza (%)Comment
    Not flu season (2.5%)
        Low risk (0–2)0.4Neither test nor treat
        Moderate risk (3)2.1Neither test nor treat
        High risk (4–6)6.5Neither test nor treat
    Shoulder (10%)
        Low risk (0–2)1.9Neither test nor treat
        Moderate risk (3)8.4Neither test nor treat
        High risk (4–6)23Order rapid test. Probability of flu is 84% if positive and 8% if negative.
    Flu season (30%)
        Low risk (0–2)6.8*Neither test nor treat
        Moderate risk (3)26Order rapid test. Probability of flu is 84% if positive and 8% if negative.
        High risk (4–6)54Treat empirically via option 1 (consider empiric therapy if high risk for complications) or option 2 (consider rapid test [95% if positive and 25% if negative]).
    • ↵* Flu score 3 assigns 2 points for fever plus cough, 2 points for myalgias, and 1 point each for duration <48 hours and chills or sweats.

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The Journal of the American Board of Family     Medicine: 25 (1)
The Journal of the American Board of Family Medicine
Vol. 25, Issue 1
January-February 2012
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Development and Validation of a Clinical Decision Rule for the Diagnosis of Influenza
Mark H. Ebell, Anna M. Afonso, Ralph Gonzales, John Stein, Blaise Genton, Nicolas Senn
The Journal of the American Board of Family Medicine Jan 2012, 25 (1) 55-62; DOI: 10.3122/jabfm.2012.01.110161

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Development and Validation of a Clinical Decision Rule for the Diagnosis of Influenza
Mark H. Ebell, Anna M. Afonso, Ralph Gonzales, John Stein, Blaise Genton, Nicolas Senn
The Journal of the American Board of Family Medicine Jan 2012, 25 (1) 55-62; DOI: 10.3122/jabfm.2012.01.110161
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