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Research ArticleOriginal Research

Proposed Clinical Decision Rules to Diagnose Acute Rhinosinusitis Among Adults in Primary Care

Mark H. Ebell and Jens Georg Hansen
The Annals of Family Medicine July 2017, 15 (4) 347-354; DOI: https://doi.org/10.1370/afm.2060
Mark H. Ebell
1Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia
MD, MS
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  • For correspondence: ebell@uga.edu
Jens Georg Hansen
2Department of Clinical Epidemiology, Aarhus University Hospital, Denmark
MD, DMSc
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  • Figure 1
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    Figure 1

    Receiver operating characteristic (ROC) curves for logistic regression models using (A) abnormal bacterial culture, (B) abnormal finding on computed tomography, and (C) antral puncture revealing purulent fluid as reference standards.

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    Figure 2

    Classification and regression tree model for positive bacterial culture as the reference standard.

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    Table 1

    Univariate Logistic Regression of the Association Between Signs, Symptoms, C-Reactive Protein (CRP), and Erythrocyte Sedimentation Rate (ESR) With Antral Puncture Revealing Purulent or Mucopurulent Fluid

    FindingOR (95% CI)P Value
    Symptoms
    Preceding upper respiratory tract infectiona,b2.09 (0.90–4.86).088
    Maxillary toothachea1.99 (1.06–3.72).031
    Maxillary pain
     Any0.42 (0.08–2.22).307
     Unilaterala,b1.66 (0.91–3.03).099
     Bilateral0.53 (0.29–0.97).040
    Cacosmia1.37 (0.75–2.49).309
    Anosmiab1.23 (0.67–2.27).500
    Cough1.23 (0.66–2.30).516
    Nasal congestion1.03 (0.50–2.14).929
    Pain bending forward0.86 (0.43–1.73).681
    Previous diagnosis of sinusitis0.43 (0.22–0.84).014
    Signs
    Purulent nasal dischargea,b1.52 (0.77–2.99).226
    Tenderness of maxillary sinus
     Anya,b1.93 (0.97–3.85).063
     Unilaterala,b2.19 (0.18–4.08).013
     Bilateral0.76 (0.40–1.43).391
    Tender tapping on teeth1.30 (0.69–2.44).415
    Purulent pharyngeal discharge1.30 (0.61–2.73).497
    Swollen inflamed turbinate1.01 (0.54–1.91).966
    Edema over maxillary sinus
     Any0.64 (0.34–1.20).165
     Unilateral0.78 (0.39–1.57).486
     Bilateral0.48 (0.15–1.49).203
    Laboratory tests
    C-reactive protein
     >10 mg/L4.29 (2.27–8.11)<.001
     >15 mg/La,b4.75 (2.50–9.02)<.001
     >20 mg/L3.92 (2.02–7.61)<.001
    Erythrocyte sedimentation rate
     >10 mm/h3.30 (1.77–6.15)<.001
     >20 mm/h3.81 (1.92–7.53)<.001
    • OR=odds ratio.

    • Note: This analysis was also performed for abnormal CT finding and positive bacterial cultures as the reference standard; data available on request from the author.

    • ↵a Included in initial models for abnormal finding on antral puncture and positive bacterial culture as the reference standard.

    • ↵b Included in the initial model for abnormal computed tomographic finding as the reference standard.

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    Table 2

    Final Logistic Regression Models to Predict the Likelihood of Sinusitis as Defined by 3 Different Diagnostic Reference Standards

    Independent VariableAbnormal CT FindingAntral Puncture FindingPositive Bacterial Culture
    β-CoefficientScore Pointβ-CoefficientScore Pointβ-CoefficientScore Point
    Preceding URTI0.59820.46110.4151
    Preceding sinusitis−0.824−2−0.828−2−0.621−1
    Tender maxillary sinusitis (unilateral)0.58420.47010.7462
    Maxillary toothache……0.63610.7412
    Purulent nasal discharge…………0.5591
    Anosmia0.3631…………
    CRP >15 mg/L1.60241.46730.7542
    Constant−0.277…−1.087…−1.936…
    AUROCC0.767…0.748…0.721…
    Hosmer-Lemeshow χ2 test4.74a…10.88b…8.22c…
    • AUROCC = area under the receiver operating characteristic curve; CRP = C-reactive protein; CT = computed tomography; URTI = upper respiratory tract infection.

    • ↵a P =.79.

    • ↵b P =.14.

    • ↵c P =.41.

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    Table 3

    Accuracy of Point Scores Based on Logistic Regression Models for the Diagnosis of Acute Rhinosinusitis and Acute Bacterial Rhinosinusitis Using 3 Different Reference Standards

    Reference StandardScore PointsSinusitis/Total No. (%)Likelihood Ratio
    Abnormal CT finding
     Low risk−2 to 117/43 (39.5)0.29
     Moderate risk2 to 432/50 (64.0)0.80
     High risk5 to 969/78 (88.5)3.40
     Total118/171 (69.0)
     Classified as low or high risk121/171 (70.8)
    Abnormal antral puncture finding
     Low risk−2 to 011/44 (25.0)0.30
     Moderate risk1 to 453/99 (53.5)1.10
     High risk5 to 623/23 (100.0)42.00
     Total87/166 (52.4)
     Classified as low or high risk67/166 (40.4)
    Positive bacterial culture
     Low risk−1 to 313/80 (16.3)0.35
     Moderate risk4 to 635/71 (49.3)1.80
     High risk7 to 811/15 (73.3)5.00
     Total59/166 (35.5)
     Classified as low or high risk95/166 (57.2)
    • CT=computed tomography.

    • Note: Number with sinusitis and total are different from values for full data set, as cases with missing data were omitted.

    • View popup
    Table 4

    Performance of CART Models for Outcomes of Abnormal CT Finding, Abnormal Antral Puncture Fluid Finding, and Abnormal Bacterial Culture

    Reference StandardSinusitis/Total No. (%)Likelihood Ratio
    Abnormal CT finding
     Low risk (−2 to 1)13/42 (31)0.20
     Moderate risk (2 to 4)42/60 (70)1.07
     High risk (5 to 9)65/73 (89)3.72
     Total120/175 (69)
     AUROCC0.795
     Classified as low or high risk115/175
    Abnormal antral puncture finding
     Low risk (−2 to 0)13/56 (23)0.28
     Moderate risk (1 to 4)36/67 (54)1.07
     High risk (5 to 6)42/52 (81)3.88
     Total91/175 (52)
     AUROCC0.772
     Classified as low or high risk108/175
    Positive bacterial culture
     Low risk (−1 to 3)13/77 (17)0.38
     Moderate risk (4 to 6)33/75 (44)1.47
     High risk (7 to 8)15/23 (65)3.50
     Total61/175 (35)
     AUROCC0.731
     Classified as low or high risk100/175
    • AUROCC = area under the receiver operating characteristic curve; CART = classification and regression tree; CT = computed tomography.

Additional Files

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  • The Article in Brief

    Proposed Clinical Decision Rules to Diagnose Acute Rhinosinusitis Among Adults in Primary Care

    Mark H. Ebell , and colleagues

    Background Practice guidelines only recommend the use of antibiotics in patients with prolonged, severe, or worsening symptoms of acute rhinosinusitis (ARS), when the likelihood of a bacterial cause is thought to be higher. However, it is common practice for patients diagnosed with acute rhinosinusitis to be prescribed an antibiotic regardless of the duration of symptoms or their severity. One strategy to reduce inappropriate prescribing is to give physicians tools that can help them more confidently diagnose or rule out acute bacterial rhinosinusitis (ABRS). This study set out to develop a clinical decision rule to diagnose acute rhinosinusitis and acute bacterial rhinosinusitis.

    What This Study Found Researchers developed a series of clinical decision rules integrating signs, symptoms, and C-reactive protein that diagnose acute rhinosinusitis and acute bacterial rhinosinusitis with good accuracy. They developed a point score and algorithm for each of 3 reference standards: abnormal CT scan, abnormal antral puncture, or positive bacterial culture. They found that the most appropriate reference standard is positive bacterial culture of antral puncture fluid. The point score using this reference standard successfully identified groups with a low (16 percent), moderate (49 percent) and high (73 percent) likelihood of acute bacterial rhinosinusitis.

    Implications

    • By identifying patients at low risk for a bacterial infection, this clinical decision rule can lead to more conservative use of antibiotics and help reduce inappropriate antibiotic prescribing.
    • According to the authors, prospective validation of the findings and an assessment of their effect on clinical and process outcomes are important next steps.
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Proposed Clinical Decision Rules to Diagnose Acute Rhinosinusitis Among Adults in Primary Care
Mark H. Ebell, Jens Georg Hansen
The Annals of Family Medicine Jul 2017, 15 (4) 347-354; DOI: 10.1370/afm.2060

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Proposed Clinical Decision Rules to Diagnose Acute Rhinosinusitis Among Adults in Primary Care
Mark H. Ebell, Jens Georg Hansen
The Annals of Family Medicine Jul 2017, 15 (4) 347-354; DOI: 10.1370/afm.2060
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  • Diagnostic prediction models for CT-confirmed and bacterial rhinosinusitis in primary care: individual participant data meta-analysis
  • Identifying adults with acute rhinosinusitis in primary care that benefit most from antibiotics: protocol of an individual patient data meta-analysis using multivariable risk prediction modelling
  • Accuracy of signs, symptoms and blood tests for diagnosing acute bacterial rhinosinusitis and CT-confirmed acute rhinosinusitis in adults: protocol of an individual patient data meta-analysis
  • Clinical gestalt to diagnose pneumonia, sinusitis, and pharyngitis: a meta-analysis
  • Accuracy of Signs and Symptoms for the Diagnosis of Acute Rhinosinusitis and Acute Bacterial Rhinosinusitis
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Subjects

  • Domains of illness & health:
    • Acute illness
  • Methods:
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Keywords

  • sinusitis
  • rhinosinusitis
  • primary care
  • respiratory tract infections
  • clinical decision making
  • clinical decision rule
  • point score

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