Estimating patients' risk for postoperative delirium from preoperative routine data - Trial design of the PRe-Operative prediction of postoperative DElirium by appropriate SCreening (PROPDESC) study - A monocentre prospective observational trial.
Postoperative delirium
Risk prediction
Risk score
Journal
Contemporary clinical trials communications
ISSN: 2451-8654
Titre abrégé: Contemp Clin Trials Commun
Pays: Netherlands
ID NLM: 101671157
Informations de publication
Date de publication:
Mar 2020
Mar 2020
Historique:
received:
24
09
2019
revised:
14
11
2019
accepted:
21
11
2019
entrez:
1
1
2020
pubmed:
1
1
2020
medline:
1
1
2020
Statut:
epublish
Résumé
Postoperative Delirium (POD) is the most common complication of elderly patients after surgery associated with increased postoperative morbidity, persistent care dependency and even mortality. Prevention of POD requires detection of patients at high risk prior to surgery. PROPDESC intends to provide an instrument for preoperative routine screening of patients' risk for POD. PROPDESC is a monocentric prospective observatory trial including 1000 patients older than 60 years from various disciplines of a university hospital planned for surgery of at least 60 min. To develop a score predicting the risk for POD, anesthesiological stratifications, laboratory values, medication and known risk factors as well as quality of life and cognitive performance are taken into account. POD assessment is performed daily on the first five days after the operation respectively the end of sedation in the intensive care units and normal wards. The score is evaluated from 600 data sets and subsequently validated internally. The most appropriate predictors are determined by a component-wise gradient boosting approach. Based on retrospective investigations, etiology of POD is considered multifactorial. By a prospective analysis of various factors, PROPDESC intends to provide an applicable tool to predict the risk for POD from preoperative routine data and assessment of cognitive function. Objective is to establish an automatically generating score in preoperative routine to screen patients for increased risk of POD as starting point for POD reduction and management. Model compilation requires a high significance and enhancement within compound as well as regular availability of the selected predictors. DRKS, DRKS00015715. Registered 13 December 2018 - Retrospectively registered, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00015715.
Sections du résumé
BACKGROUND
BACKGROUND
Postoperative Delirium (POD) is the most common complication of elderly patients after surgery associated with increased postoperative morbidity, persistent care dependency and even mortality. Prevention of POD requires detection of patients at high risk prior to surgery. PROPDESC intends to provide an instrument for preoperative routine screening of patients' risk for POD.
METHODS
METHODS
PROPDESC is a monocentric prospective observatory trial including 1000 patients older than 60 years from various disciplines of a university hospital planned for surgery of at least 60 min. To develop a score predicting the risk for POD, anesthesiological stratifications, laboratory values, medication and known risk factors as well as quality of life and cognitive performance are taken into account. POD assessment is performed daily on the first five days after the operation respectively the end of sedation in the intensive care units and normal wards. The score is evaluated from 600 data sets and subsequently validated internally. The most appropriate predictors are determined by a component-wise gradient boosting approach.
DISCUSSION
CONCLUSIONS
Based on retrospective investigations, etiology of POD is considered multifactorial. By a prospective analysis of various factors, PROPDESC intends to provide an applicable tool to predict the risk for POD from preoperative routine data and assessment of cognitive function. Objective is to establish an automatically generating score in preoperative routine to screen patients for increased risk of POD as starting point for POD reduction and management. Model compilation requires a high significance and enhancement within compound as well as regular availability of the selected predictors.
TRIAL REGISTRATION
BACKGROUND
DRKS, DRKS00015715. Registered 13 December 2018 - Retrospectively registered, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00015715.
Identifiants
pubmed: 31890984
doi: 10.1016/j.conctc.2019.100501
pii: S2451-8654(19)30264-9
pii: 100501
pmc: PMC6926123
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100501Investigateurs
Jan Menzenbach
(J)
Claudia Neumann
(C)
Maria Wittmann
(M)
Andreas Hoeft
(A)
Vera Guttenthaler
(V)
Andrea Kirfel
(A)
Rolf Fimmers
(R)
Andreas Mayr
(A)
Arcangelo Ricchiuto
(A)
Linda Adler
(L)
Johanna Feggeler
(J)
Stefanie Huber-Petersen
(S)
Marjetka Kieback
(M)
Lisa Velten
(L)
Christine Thudium
(C)
Marlene Bottenberg
(M)
Jacqueline Fidorra
(J)
Merve Güven
(M)
Lucy Hida
(L)
Diane Jossen
(D)
Laureen Mundt
(L)
Katharina Schaaf
(K)
Nina Schwittlinsky
(N)
Antolina Toma
(A)
Orietta Toma
(O)
Informations de copyright
© 2019 The Author(s).
Déclaration de conflit d'intérêts
None.
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