Intraoperative prevention and conservative management of postoperative prolonged air leak after lung resection: a systematic review

肺切除术后持续性漏气的术中预防和保守治疗:系统评价

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Abstract

BACKGROUND: Prolonged air leak (PAL) due to an alveolar-pleural fistula (APF) is the most common complication after lung surgery. PAL is associated with an increased risk of morbidity and mortality, a longer chest tube duration, hence a prolonged hospitalization. Management of PAL may be challenging, and the thoracic surgeon should be aware of the possible therapeutic strategies. METHODS: A systematic literature review was performed in PubMed, Cochrane Library, EMBASE, Ovid and Google Scholar. Title, abstract and full-text screening was performed, followed by structured data extraction, methodological quality assessment and Cochrane risk of bias assessment. Inclusion criteria were: case-control studies/randomized controlled trials (RCTs) comparing the new tested method with the standard of care to manage PAL after lung surgery; PAL due to APF; at least 10 patients; English-written papers. RESULTS: A total of 942 initial papers from literature search, resulted in 43 papers after the selection. This systematic review found that the use of intraoperative measures as surgical sealants or pleural tenting, as well as a proper management of the chest drain and the use of blood patch or sclerosant agents seem to reduce postoperative air leaks incidence and/or duration and length of chest drain stay and hospitalization. CONCLUSIONS: Different measures have been described in literature to manage or prevent postoperative PAL. Most of them seem to be safe and efficient if compared to the "wait and see" strategy, even if large comparative studies that standardize the intra- and post-operative management of APF after lung resection are lacking and, actually, hard to conceptualize. However, there is a large consensus on the value of a preoperative PAL-risk stratification and on the necessity of tailoring PAL management or prevention's strategy and its timing on each patient's features.

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