EUS-guided pancreatic drainage: A steep learning curve.

EUS-guided pancreatic drainage pancreatic stricture pancreatico-jejunostomy pancreaticogastrostomy therapeutic EUS

Journal

Endoscopic ultrasound
ISSN: 2303-9027
Titre abrégé: Endosc Ultrasound
Pays: China
ID NLM: 101622292

Informations de publication

Date de publication:
Historique:
entrez: 26 6 2020
pubmed: 26 6 2020
medline: 26 6 2020
Statut: ppublish

Résumé

EUS-guided pancreatic drainage (EUS-PD) is an efficacious, acceptable risk option for patients with pancreatic duct obstruction who fail conventional ERCP. The aim of this study was to define the learning curve (LC) for EUS-PD. Consecutive patients undergoing EUS-PD by a single operator were included from a dedicated registry. Demographics, procedural info, adverse events, and follow-up data were collected. Nonlinear regression and cumulative sum (CUSUM) analyses were conducted for the LC. Fifty-six patients were included (54% of male, with a mean age of 58 years). Technical success was achieved in 47 patients (84%). Stent placement was antegrade in 36 patients (77%) and retrograde in 11 (23%). Clinical success was achieved in 46/47 (98%) patients who achieved technical success. Adverse events were seen in 13 patients (6 of whom did not achieve technical success) and included bleeding requiring embolization (n = 5), bleeding treated with clips peri-procedurally (n = 1), pancreatitis (n = 5), and a pancreatic fluid collection drained via EUS-drainage (n = 2). The median procedural time was 80 min (range 49-159 min). The CUSUM chart showed that 80-min procedural time was achieved at the 27 Endoscopists experienced in EUS-PD are expected to achieve a reduction in procedural time over successive cases, with efficiency reached at 80 min and a learning rate of 27 cases. Continued improvement is demonstrated with additional experience, with plateau indicating mastery suggested at the 40

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
EUS-guided pancreatic drainage (EUS-PD) is an efficacious, acceptable risk option for patients with pancreatic duct obstruction who fail conventional ERCP. The aim of this study was to define the learning curve (LC) for EUS-PD.
METHODS METHODS
Consecutive patients undergoing EUS-PD by a single operator were included from a dedicated registry. Demographics, procedural info, adverse events, and follow-up data were collected. Nonlinear regression and cumulative sum (CUSUM) analyses were conducted for the LC.
RESULTS RESULTS
Fifty-six patients were included (54% of male, with a mean age of 58 years). Technical success was achieved in 47 patients (84%). Stent placement was antegrade in 36 patients (77%) and retrograde in 11 (23%). Clinical success was achieved in 46/47 (98%) patients who achieved technical success. Adverse events were seen in 13 patients (6 of whom did not achieve technical success) and included bleeding requiring embolization (n = 5), bleeding treated with clips peri-procedurally (n = 1), pancreatitis (n = 5), and a pancreatic fluid collection drained via EUS-drainage (n = 2). The median procedural time was 80 min (range 49-159 min). The CUSUM chart showed that 80-min procedural time was achieved at the 27
CONCLUSION CONCLUSIONS
Endoscopists experienced in EUS-PD are expected to achieve a reduction in procedural time over successive cases, with efficiency reached at 80 min and a learning rate of 27 cases. Continued improvement is demonstrated with additional experience, with plateau indicating mastery suggested at the 40

Identifiants

pubmed: 32584312
pii: EndoscUltrasound_2020_9_3_175_286585
doi: 10.4103/eus.eus_3_20
pmc: PMC7430898
doi:

Types de publication

Journal Article

Langues

eng

Pagination

175-179

Déclaration de conflit d'intérêts

None

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Auteurs

Amy Tyberg (A)

Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.

Vimal Bodiwala (V)

Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.

Prashant Kedia (P)

Methodist Dallas Medical Center, Dallas, TX, USA.

Paul R Tarnasky (PR)

Methodist Dallas Medical Center, Dallas, TX, USA.

Muhammad Ali Khan (MA)

UAB Multispecialty Clinic, Montgomery, AL, USA.

Aleksey Novikov (A)

Thomas Jefferson Hospital, Philadelphia, PA, USA.

Monica Gaidhane (M)

Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.

Jose Celso Ardengh (JC)

Hospital University of Sao Paulo, Sao Paulo, Brazil.

Michel Kahaleh (M)

Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.

Classifications MeSH