Minimally invasive distal pancreatectomy: a case-matched cost-analysis between robot-assisted surgery and direct manual laparoscopy.


Journal

Surgical endoscopy
ISSN: 1432-2218
Titre abrégé: Surg Endosc
Pays: Germany
ID NLM: 8806653

Informations de publication

Date de publication:
01 2022
Historique:
received: 12 10 2020
accepted: 13 01 2021
pubmed: 4 2 2021
medline: 3 3 2022
entrez: 3 2 2021
Statut: ppublish

Résumé

Few studies have reported a structured cost analysis of robotic distal pancreatectomy (RDP), and none have compared the relative costs between the robotic-assisted surgery (RAS) and the direct manual laparoscopy (DML) in this setting. The aim of the present study is to address this issue by comparing surgical outcomes and costs of RDP and laparoscopic distal pancreatectomies (LDP). Eighty-eight RDP and 47 LDP performed between January 2008 and January 2020 were retrospectively analyzed. Three comparable groups of 35 patients each (Si-RDP-group, Xi-RDP group, LDP-group) were obtained matching 1:1 the RDP-groups with the LDP-group. Overall costs, including overall variable costs (OVC) and fixed costs were compared using generalized linear regression model adjusting for covariates. The conversion rate was significantly lower in the Si-RDP-group and Xi-RDP-group: 2.9% and 0%, respectively, versus 14.3% in the LDP-group (p = 0.045). Although not statistically significant, the mean operative time was lower in Xi-RDP-group: 226 min versus 262 min for Si-RDP-group and 247 min for LDP-group. The overall post-operative complications rate and the length of hospital stay (LOS) were not significantly different between the three groups. In LDP-group, the LOS of converted cases was significantly longer: 15.6 versus 9.8 days (p = 0.039). Overall costs of LDP-group were significantly lower than RDP-groups, (p < 0.001). At multivariate analysis OVC resulted no longer statistically significantly different between LDP-group and Xi-RDP-group (p = 0.099), and between LDP-group and the RDP-groups when the spleen preservation was indicated (p = 0.115 and p = 0.261 for Si-RDP-group and Xi-RDP-group, respectively). RAS is more expensive than DML for DP because of higher acquisition and maintenance costs. The flattening of these differences considering only the variable costs, in a high-volume multidisciplinary center for RAS, suggests a possible optimization of the costs in this setting. RAS might be particularly indicated for minimally invasive DP when the spleen preservation is scheduled.

Sections du résumé

BACKGROUND
Few studies have reported a structured cost analysis of robotic distal pancreatectomy (RDP), and none have compared the relative costs between the robotic-assisted surgery (RAS) and the direct manual laparoscopy (DML) in this setting. The aim of the present study is to address this issue by comparing surgical outcomes and costs of RDP and laparoscopic distal pancreatectomies (LDP).
METHODS
Eighty-eight RDP and 47 LDP performed between January 2008 and January 2020 were retrospectively analyzed. Three comparable groups of 35 patients each (Si-RDP-group, Xi-RDP group, LDP-group) were obtained matching 1:1 the RDP-groups with the LDP-group. Overall costs, including overall variable costs (OVC) and fixed costs were compared using generalized linear regression model adjusting for covariates.
RESULTS
The conversion rate was significantly lower in the Si-RDP-group and Xi-RDP-group: 2.9% and 0%, respectively, versus 14.3% in the LDP-group (p = 0.045). Although not statistically significant, the mean operative time was lower in Xi-RDP-group: 226 min versus 262 min for Si-RDP-group and 247 min for LDP-group. The overall post-operative complications rate and the length of hospital stay (LOS) were not significantly different between the three groups. In LDP-group, the LOS of converted cases was significantly longer: 15.6 versus 9.8 days (p = 0.039). Overall costs of LDP-group were significantly lower than RDP-groups, (p < 0.001). At multivariate analysis OVC resulted no longer statistically significantly different between LDP-group and Xi-RDP-group (p = 0.099), and between LDP-group and the RDP-groups when the spleen preservation was indicated (p = 0.115 and p = 0.261 for Si-RDP-group and Xi-RDP-group, respectively).
CONCLUSIONS
RAS is more expensive than DML for DP because of higher acquisition and maintenance costs. The flattening of these differences considering only the variable costs, in a high-volume multidisciplinary center for RAS, suggests a possible optimization of the costs in this setting. RAS might be particularly indicated for minimally invasive DP when the spleen preservation is scheduled.

Identifiants

pubmed: 33534074
doi: 10.1007/s00464-021-08332-1
pii: 10.1007/s00464-021-08332-1
pmc: PMC8741657
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

651-662

Informations de copyright

© 2021. The Author(s).

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Auteurs

Gregorio Di Franco (G)

General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Multidisciplinary Center of Robotic Surgery, University Hospital of Pisa, Pisa, Italy.

Andrea Peri (A)

Department of Surgery, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Valentina Lorenzoni (V)

Institute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.

Matteo Palmeri (M)

General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Multidisciplinary Center of Robotic Surgery, University Hospital of Pisa, Pisa, Italy.

Niccolò Furbetta (N)

General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Multidisciplinary Center of Robotic Surgery, University Hospital of Pisa, Pisa, Italy.

Simone Guadagni (S)

General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Multidisciplinary Center of Robotic Surgery, University Hospital of Pisa, Pisa, Italy.

Desirée Gianardi (D)

General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Multidisciplinary Center of Robotic Surgery, University Hospital of Pisa, Pisa, Italy.

Matteo Bianchini (M)

General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.
Multidisciplinary Center of Robotic Surgery, University Hospital of Pisa, Pisa, Italy.

Luca Emanuele Pollina (LE)

Second Division of Surgical Pathology, University Hospital of Pisa, Pisa, Italy.

Franca Melfi (F)

Multidisciplinary Center of Robotic Surgery, University Hospital of Pisa, Pisa, Italy.

Domenica Mamone (D)

Pharmaceutical Unit, Medical Device Management, University Hospital of Pisa, Pisa, Italy.

Carlo Milli (C)

Board of Directors, University Hospital of Pisa, Pisa, Italy.

Giulio Di Candio (G)

General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy.

Giuseppe Turchetti (G)

Institute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.

Andrea Pietrabissa (A)

Department of Surgery, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Luca Morelli (L)

General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Paradisa 2, 56125, Pisa, Italy. luca.morelli@unipi.it.
Multidisciplinary Center of Robotic Surgery, University Hospital of Pisa, Pisa, Italy. luca.morelli@unipi.it.
EndoCAS (Center for Computer Assisted Surgery), University of Pisa, Pisa, Italy. luca.morelli@unipi.it.

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