Optimising drain management after endoscopic-assisted minimally invasive coronary surgery

Very early chest drain removal after endoscopic coronary artery bypass grafting is safe and does not increase postoperative complications for both single- and multivessel revascularisation. This approach enables early ambulation and may contribute to enhanced postoperative recovery.

Authors

Institutions

Publication Details

Journal
Journal of Perioperative Practice
Published
2025-12-01
DOI
https://doi.org/10.1177/17504589251392832
Primary Topic
Cardiac and Coronary Surgery Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimising drain management after endoscopic-assisted minimally invasive coronary surgery

Joost F.J. ter Woorst, B M J A Koene, Fleur Sampon, De Qing Görtzen et al.
Journal of Perioperative Practice
Cardiac and Coronary Surgery Techniques
article

Optimising drain management after endoscopic-assisted minimally invasive coronary surgery

Joost F.J. ter Woorst, B M J A Koene, Fleur Sampon, De Qing Görtzen, Ferdi Akca, Marjolein Hoefeijzers
article en

Abstract

Very early chest drain removal after endoscopic coronary artery bypass grafting is safe and does not increase postoperative complications for both single- and multivessel revascularisation. This approach enables early ambulation and may contribute to enhanced postoperative recovery.

Journal of Perioperative Practice
Radboud University Nijmegen (NL), Catharina Ziekenhuis (NL)
Openalex Percentile: Top 43%
Cardiac and Coronary Surgery Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.