The diagnostic accuracy of lung auscultation in adult patients with acute pulmonary pathologies: a meta-analysis

Luca Arts, Endry Hartono Taslim Lim, Peter Marinus van de Ven, Leo Heunks, Pieter R Tuinman, Luca Arts, Endry Hartono Taslim Lim, Peter Marinus van de Ven, Leo Heunks, Pieter R Tuinman

Abstract

The stethoscope is used as first line diagnostic tool in assessment of patients with pulmonary symptoms. However, there is much debate about the diagnostic accuracy of this instrument. This meta-analysis aims to evaluate the diagnostic accuracy of lung auscultation for the most common respiratory pathologies. Studies concerning adult patients with respiratory symptoms are included. Main outcomes are pooled estimates of sensitivity and specificity with 95% confidence intervals, likelihood ratios (LRs), area under the curve (AUC) of lung auscultation for different pulmonary pathologies and breath sounds. A meta-regression analysis is performed to reduce observed heterogeneity. For 34 studies the overall pooled sensitivity for lung auscultation is 37% and specificity 89%. LRs and AUC of auscultation for congestive heart failure, pneumonia and obstructive lung diseases are low, LR- and specificity are acceptable. Abnormal breath sounds are highly specific for (hemato)pneumothorax in patients with trauma. Results are limited by significant heterogeneity. Lung auscultation has a low sensitivity in different clinical settings and patient populations, thereby hampering its clinical utility. When better diagnostic modalities are available, they should replace lung auscultation. Only in resource limited settings, with a high prevalence of disease and in experienced hands, lung auscultation has still a role.

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Flow chart of selection process.
Figure 2
Figure 2
Forrest plot of sensitivity and specificity together with their 95% confidence intervals for different acute pulmonary pathology. Side note: Estimates and confidence intervals for pooled estimates may differ slightly from those in Table 2 as correlation of sensitivities (and specificities) observed for the different index-tests within the same study was ignored when making the forest-plot. Abbreviations: PNA: pneumonia; Decr. br. sounds: decreased breath sounds; Air. Obstr.: airway obstruction; dulln: dullness; COPD: chronic obstructive pulmonary disease; Abn. Ausc.: abnormal auscultation; HPT: (hemato)pneumothorax; CHF: congestive heart failure; Uneq. br. sounds: unequal breath sounds; pen.: penetrating; Air. Obstr: airway obstruction.
Figure 3
Figure 3
Deek’s Funnel Plot test for publication bias.

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