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Predicting acute maxillary sinusitis in a general practice population

J G Hansen1, H Schmidt, J Rosborg

  • 1Department of Otorhinolaryngology, Aalborg County Hospital, Denmark.

BMJ (Clinical Research Ed.)
|July 22, 1995
PubMed
Summary
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Raised erythrocyte sedimentation rate and C-reactive protein are valuable indicators for diagnosing acute maxillary sinusitis. These markers, when used together, offer significant diagnostic utility in clinical practice.

Area of Science:

  • Otorhinolaryngology
  • Diagnostic Medicine
  • General Practice

Background:

  • Acute maxillary sinusitis is a common condition often diagnosed in primary care settings.
  • Accurate diagnosis relies on a combination of clinical presentation and laboratory markers.
  • Differentiating sinusitis from other conditions requires reliable diagnostic tools.

Purpose of the Study:

  • To assess the diagnostic accuracy of clinical symptoms, physical signs, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) in identifying acute maxillary sinusitis.
  • To determine the independent contribution of each factor to the diagnosis.

Main Methods:

  • A prospective cohort study was conducted with 174 patients suspected of having acute maxillary sinusitis.
  • Data collected included patient symptoms, physical examination findings, ESR, and CRP levels.

Related Experiment Videos

  • Diagnosis of acute maxillary sinusitis was confirmed by purulent or mucopurulent antral aspirate.

    • Main Results:

    • Elevated erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were independently associated with acute maxillary sinusitis (P = 0.01 and P = 0.007, respectively).
    • Symptoms and physical signs did not show independent association with the diagnosis.
    • The combination of elevated ESR and CRP yielded a sensitivity of 0.82 and a specificity of 0.57.

    Conclusions:

    • Erythrocyte sedimentation rate and C-reactive protein are valuable diagnostic markers for acute maxillary sinusitis.
    • These inflammatory markers can aid clinicians in confirming the diagnosis, particularly when combined.
    • Further research may explore the optimal integration of these markers into diagnostic algorithms.