Trial reportBMC anesthesiology2025
Effect of dynamic lung compliance-guided positive end-expiratory pressure on postoperative pulmonary complications following thoracoscopic lobectomy: a randomized controlled trial.
Trial report in BMC anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe risk of postoperative pulmonary complications is significantly increased in patients undergoing video-assisted thoracic surgical lobectomy. Individualized positive end-expiratory pressure (PEEP) is extensively employed to optimize respiratory mechanics and enhance oxygenation during one-lung ventilation (OLV). However, there is no consensus regarding the optimal level of positive end-expiratory pressure and its effects during OLV. Therefore, we designed a randomized controlled trial to assess whether titrating PEEP to the maximum dynamic lung compliance in patients undergoing lung resection surgery impacts the occurrence of postoperative pulmonary complications (PPCs).
methodsIn this randomized controlled trial, patients undergoing thoracoscopic lobectomy were randomly assigned to either a dynamic lung compliance group that received individualized PEEP guided by the maximum dynamic pulmonary compliance or a conventional ventilation group with a fixed PEEP of 5 cm H2O. The primary outcome was a composite of PPCs occurring within seven days, as defined by the European Perioperative Clinical Outcome criteria. Secondary outcomes included PEEP, Cdyn, PaO2, serum concentrations of IL-6 and TNF-α, and the duration of postoperative hospital stays.
resultsOne hundred patients were enrolled. The optimal PEEP obtained in the dynamic lung compliance group was 9.04 ± 1.83 cm H2O. Patients in the conventional ventilation group experienced 38% postoperative pulmonary complications versus 20% in the dynamic lung compliance group compared with the control group (P < 0.01). The serum Interleukin-10 concentrations at T5 in the dynamic lung compliance group were higher than those in the ventilation group (P = 0.046), and the serum Interleukin-1 concentrations at T5 and T6 in the dynamic lung compliance group were lower than those in the ventilation group (P < 0.01).
conclusionsIn patients undergoing video-assisted thoracoscopic lobectomy for lung resection with maximum dynamic compliance-guided positive end-expiratory pressure (PEEP), the incidence of postoperative pulmonary complications (PPCs) within 7 days was significantly lower compared to those receiving a PEEP of 5 cm H2O.
trial registrationThis study was registered at the Chinese Clinical Trials Registry on 04/07/2021 with registration number ChiCTR2100048201.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.