Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial.
Journal
Lancet (London, England)
ISSN: 1474-547X
Titre abrégé: Lancet
Pays: England
ID NLM: 2985213R
Informations de publication
Date de publication:
14 05 2022
14 05 2022
Historique:
received:
13
09
2021
revised:
09
12
2021
accepted:
16
12
2021
pubmed:
2
5
2022
medline:
18
5
2022
entrez:
1
5
2022
Statut:
ppublish
Résumé
Early recognition and management of postoperative complications, before they become clinically relevant, can improve postoperative outcomes for patients, especially for high-risk procedures such as pancreatic resection. We did an open-label, nationwide, stepped-wedge cluster-randomised trial that included all patients having pancreatic resection during a 22-month period in the Netherlands. In this trial design, all 17 centres that did pancreatic surgery were randomly allocated for the timing of the crossover from usual care (the control group) to treatment given in accordance with a multimodal, multidisciplinary algorithm for the early recognition and minimally invasive management of postoperative complications (the intervention group). Randomisation was done by an independent statistician using a computer-generated scheme, stratified to ensure that low-medium-volume centres alternated with high-volume centres. Patients and investigators were not masked to treatment. A smartphone app was designed that incorporated the algorithm and included the daily evaluation of clinical and biochemical markers. The algorithm determined when to do abdominal CT, radiological drainage, start antibiotic treatment, and remove abdominal drains. After crossover, clinicians were trained in how to use the algorithm during a 4-week wash-in period; analyses comparing outcomes between the control group and the intervention group included all patients other than those having pancreatic resection during this wash-in period. The primary outcome was a composite of bleeding that required invasive intervention, organ failure, and 90-day mortality, and was assessed by a masked adjudication committee. This trial was registered in the Netherlands Trial Register, NL6671. From Jan 8, 2018, to Nov 9, 2019, all 1805 patients who had pancreatic resection in the Netherlands were eligible for and included in this study. 57 patients who underwent resection during the wash-in phase were excluded from the primary analysis. 1748 patients (885 receiving usual care and 863 receiving algorithm-centred care) were included. The primary outcome occurred in fewer patients in the algorithm-centred care group than in the usual care group (73 [8%] of 863 patients vs 124 [14%] of 885 patients; adjusted risk ratio [RR] 0·48, 95% CI 0·38-0·61; p<0·0001). Among patients treated according to the algorithm, compared with patients who received usual care there was a decrease in bleeding that required intervention (47 [5%] patients vs 51 [6%] patients; RR 0·65, 0·42-0·99; p=0·046), organ failure (39 [5%] patients vs 92 [10%] patients; 0·35, 0·20-0·60; p=0·0001), and 90-day mortality (23 [3%] patients vs 44 [5%] patients; 0·42, 0·19-0·92; p=0·029). The algorithm for the early recognition and minimally invasive management of complications after pancreatic resection considerably improved clinical outcomes compared with usual care. This difference included an approximate 50% reduction in mortality at 90 days. The Dutch Cancer Society and UMC Utrecht.
Sections du résumé
BACKGROUND
Early recognition and management of postoperative complications, before they become clinically relevant, can improve postoperative outcomes for patients, especially for high-risk procedures such as pancreatic resection.
METHODS
We did an open-label, nationwide, stepped-wedge cluster-randomised trial that included all patients having pancreatic resection during a 22-month period in the Netherlands. In this trial design, all 17 centres that did pancreatic surgery were randomly allocated for the timing of the crossover from usual care (the control group) to treatment given in accordance with a multimodal, multidisciplinary algorithm for the early recognition and minimally invasive management of postoperative complications (the intervention group). Randomisation was done by an independent statistician using a computer-generated scheme, stratified to ensure that low-medium-volume centres alternated with high-volume centres. Patients and investigators were not masked to treatment. A smartphone app was designed that incorporated the algorithm and included the daily evaluation of clinical and biochemical markers. The algorithm determined when to do abdominal CT, radiological drainage, start antibiotic treatment, and remove abdominal drains. After crossover, clinicians were trained in how to use the algorithm during a 4-week wash-in period; analyses comparing outcomes between the control group and the intervention group included all patients other than those having pancreatic resection during this wash-in period. The primary outcome was a composite of bleeding that required invasive intervention, organ failure, and 90-day mortality, and was assessed by a masked adjudication committee. This trial was registered in the Netherlands Trial Register, NL6671.
FINDINGS
From Jan 8, 2018, to Nov 9, 2019, all 1805 patients who had pancreatic resection in the Netherlands were eligible for and included in this study. 57 patients who underwent resection during the wash-in phase were excluded from the primary analysis. 1748 patients (885 receiving usual care and 863 receiving algorithm-centred care) were included. The primary outcome occurred in fewer patients in the algorithm-centred care group than in the usual care group (73 [8%] of 863 patients vs 124 [14%] of 885 patients; adjusted risk ratio [RR] 0·48, 95% CI 0·38-0·61; p<0·0001). Among patients treated according to the algorithm, compared with patients who received usual care there was a decrease in bleeding that required intervention (47 [5%] patients vs 51 [6%] patients; RR 0·65, 0·42-0·99; p=0·046), organ failure (39 [5%] patients vs 92 [10%] patients; 0·35, 0·20-0·60; p=0·0001), and 90-day mortality (23 [3%] patients vs 44 [5%] patients; 0·42, 0·19-0·92; p=0·029).
INTERPRETATION
The algorithm for the early recognition and minimally invasive management of complications after pancreatic resection considerably improved clinical outcomes compared with usual care. This difference included an approximate 50% reduction in mortality at 90 days.
FUNDING
The Dutch Cancer Society and UMC Utrecht.
Identifiants
pubmed: 35490691
pii: S0140-6736(22)00182-9
doi: 10.1016/S0140-6736(22)00182-9
pii:
doi:
Types de publication
Journal Article
Randomized Controlled Trial
Langues
eng
Sous-ensembles de citation
IM
Pagination
1867-1875Investigateurs
J G Blomjous
(JG)
M T de Boer
(MT)
P van den Boezem
(P)
S Bouwense
(S)
R Bruijnen
(R)
C I Buis
(CI)
M Del Chiaro
(M)
P P Coene
(PP)
M Coolsen
(M)
F Daams
(F)
K Dejong
(K)
W Draaisma
(W)
H H Eker
(HH)
A H Elsen
(AH)
M F Gerhards
(MF)
H Hartog
(H)
F J Hoogwater
(FJ)
F Imani
(F)
S Jenniskens
(S)
K P de Jong
(KP)
T M Karsten
(TM)
J M Klaase
(JM)
Rhj de Kleine
(R)
C J van Laarhoven
(CJ)
H van der Lelij
(H)
E R Manusama
(ER)
M Meerdink
(M)
M Meijerink
(M)
J Nederend
(J)
M W Nijkamp
(MW)
C L Nota
(CL)
R J Porte
(RJ)
J Reef
(J)
P de Reuver
(P)
C van Rijswijk
(C)
T Romkens
(T)
C Rupert
(C)
G P van der Schelling
(GP)
J P Serafino
(JP)
L D Vos
(LD)
M R Vriens
(MR)
E Beers-Vural
(E)
J M Wagtenberg
(JM)
J H Wijsman
(JH)
R F de Wilde
(RF)
C L Wolfgang
(CL)
H J Zeh
(HJ)
Commentaires et corrections
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Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests CvdL is the Secretary of the Dutch Society of Interventional Radiology (unpaid position). CHvW's institution received payments from Pfizer, Biomerieux, Da Volterra, and MSD and he has a European Patent Application with Da Volterrra, University Antwerp, and University Medical Centre Utrecht Holdings. All other authors declare no competing interests.