The Diagnostic Yield of Endobronchial Ultrasound Transbronchial Needle Aspiration (EBUS-TBNA) in Respiratory Compromised Patients under General Anesthesia

ISRAEL MEDICAL ASSOCIATION JOURNAL(2022)

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摘要
Background: Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) is a frequently used method for obtaining tissue samples for the diagnosis of various respiratory conditions, including Lung cancer staging. In most cases, EBUS-TBNA is performed under moderate sedation (MS). However, in cases of respiratory compromised patients, if this procedure is performed, it is conducted under general anesthesia (GA). Objective: To assess the diagnostic yield of EBUS-TBNA among respiratory compromised patients. Methods: Data of consecutive patients (n=191) who underwent EBUS-TBNA at our medical center between January 2019 and December 2019 were retrospectively analyzed. Respiratory compromised patients underwent GA and patients without respiratory compromise were mostly moderately sedated (MS). Characteristics, diagnostic yield, and complication rates were compared. Results: Diagnostic yield was similar between the two sedation modes (89% in GA group and 78% in the MS group, P = 0.11). The number of total samples obtained per procedure was significantly higher in the GA vs. the MS group (4.1 +/- 2.1 vs. 2.1 +/- 1.33, P < 0.01). The overall complication rate was 13% and 20.9% in the GA vs. the MS groups, respectively (P = 0.14), with the most frequent complication being minor bleeding. Interestingly, while the number of brushings, bronchoalveolar lavage, and endobronchial biopsy were similar, the percent of subjects who underwent transbronchial biopsy was significantly higher in the GA group (49% vs. 24.2%, P < 0.01). Conclusion: EBUS-TBNA performed under GA among respiratory compromised patients is safe and has similar diagnostic yield to that of patients without a respiratory compromise.
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anesthesia, diagnostic yield, endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA), interventional pulmonology
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