An aggregate score to stratify the technical complexity of video-assisted thoracoscopic lobectomy.


Journal

Interactive cardiovascular and thoracic surgery
ISSN: 1569-9285
Titre abrégé: Interact Cardiovasc Thorac Surg
Pays: England
ID NLM: 101158399

Informations de publication

Date de publication:
01 05 2019
Historique:
received: 13 06 2018
revised: 03 10 2018
accepted: 14 10 2018
pubmed: 1 12 2018
medline: 14 1 2020
entrez: 1 12 2018
Statut: ppublish

Résumé

The purpose of this study was to develop a score to predict the complexity of video-assisted thoracoscopic surgery (VATS) lobectomies preoperatively. One hundred and thirty-nine consecutive patients undergoing VATS lobectomy operated on by a single surgeon as the first operator were included. Complex operations were defined as: operation time >180 min (corresponding to the 75th percentile) or a conversion to thoracotomy. Several patient-related baseline and radiological variables were tested for a possible association with surgical complexity by logistic regression analysis. An aggregate score was created by weighing the regression estimates of the significant predictors. Patients were then grouped in classes of risk according to their scores. Finally, the score was validated in an external population of 154 VATS lobectomy patients. Twenty-nine VATS lobectomies (21%) were classified as complex. The following variables were found to be significantly associated with a complex operation and were used to calculate the risk score in each patient (1 point each): male (P = 0.006), presence of thick pleura (P = 0.003), presence of emphysema (P = 0.001), enlarged hilar nodes (P = 0.003). Patients were grouped in 4 classes showing an incremental incidence of complex operations (P < 0.0001): score 0, 7.4%; score 1, 18%; score 2, 27%; score >2, 67%. In the external validation set, the score confirmed its association with the incidence of complex operations (P < 0.001): score 0, 7.3%; score 1, 10%; score 2, 16%; score >2 50%. The complexity score appeared to be reproducible in an external setting and can be used to preoperatively identify appropriate candidates for VATS lobectomies to improve the efficiency and safety of the training phase.

Identifiants

pubmed: 30500910
pii: 5219002
doi: 10.1093/icvts/ivy319
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

728-734

Informations de copyright

© The Author(s) 2018. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Auteurs

Takuro Miyazaki (T)

Department of Thoracic Surgery, The Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Department of Surgical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.

Andrea Imperatori (A)

Department of Thoracic Surgery, The Leeds Teaching Hospitals NHS Trust, Leeds, UK.

Marcelo Jimenez (M)

Department of Thoracic Surgery, Salamanca University Hospital, Salamanca, Spain.

Polivios Drosos (P)

Department of Thoracic Surgery, The Leeds Teaching Hospitals NHS Trust, Leeds, UK.

Maria T Gomez-Hernandez (MT)

Department of Thoracic Surgery, Salamanca University Hospital, Salamanca, Spain.

Gonzalo Varela (G)

Department of Thoracic Surgery, Salamanca University Hospital, Salamanca, Spain.

Nuria Novoa (N)

Department of Thoracic Surgery, Salamanca University Hospital, Salamanca, Spain.

Takeshi Nagayasu (T)

Department of Surgical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.

Alessandro Brunelli (A)

Department of Thoracic Surgery, The Leeds Teaching Hospitals NHS Trust, Leeds, UK.

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Classifications MeSH