Development and validation of a postoperative delirium prediction model for patients admitted to an intensive care unit in China : a prospective study

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OBJECTIVES: We aimed to develop and validate a postoperative delirium (POD) prediction model for patients admitted to the intensive care unit (ICU).

DESIGN: A prospective study was conducted.

SETTING: The study was conducted in the surgical, cardiovascular surgical and trauma surgical ICUs of an affiliated hospital of a medical university in Heilongjiang Province, China.

PARTICIPANTS: This study included 400 patients (≥18 years old) admitted to the ICU after surgery.

PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was POD assessment during ICU stay.

RESULTS: The model was developed using 300 consecutive ICU patients and was validated using 100 patients from the same ICUs. The model was based on five risk factors: Physiological and Operative Severity Score for the enumeration of Mortality and morbidity; acid-base disturbance and history of coma, diabetes or hypertension. The model had an area under the receiver operating characteristics curve of 0.852 (95% CI 0.802 to 0.902), Youden index of 0.5789, sensitivity of 70.73% and specificity of 87.16%. The Hosmer-Lemeshow goodness of fit was 5.203 (p=0.736). At a cutoff value of 24.5%, the sensitivity and specificity were 71% and 69%, respectively.

CONCLUSIONS: The model, which used readily available data, exhibited high predictive value regarding risk of ICU-POD at admission. Use of this model may facilitate better implementation of preventive treatments and nursing measures.

Medienart:

E-Artikel

Erscheinungsjahr:

2019

Erschienen:

2019

Enthalten in:

Zur Gesamtaufnahme - volume:9

Enthalten in:

BMJ open - 9(2019), 11 vom: 12. Nov., Seite e030733

Sprache:

Englisch

Beteiligte Personen:

Xing, Huanmin [VerfasserIn]
Zhou, Wendie [VerfasserIn]
Fan, Yuying [VerfasserIn]
Wen, Taoxue [VerfasserIn]
Wang, Xiaohui [VerfasserIn]
Chang, Guangming [VerfasserIn]

Links:

Volltext

Themen:

Delirium
Intensive care
Journal Article
Models, statistical
Observational Study
Postoperative
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 06.11.2020

Date Revised 06.11.2020

published: Electronic

Citation Status MEDLINE

doi:

10.1136/bmjopen-2019-030733

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM30326392X