Literature DB >> 28147435

Developing models to predict early postoperative patient deterioration and adverse events.

Mitchell K Petersen Tym1, Guy L Ludbrook1, Arthas Flabouris2, Richard Seglenieks1, Thomas W Painter1.   

Abstract

BACKGROUND: Accurate identification of patients at risk of early postoperative deterioration allows needs-based allocation of patients to appropriate levels of care. This study aimed to record the incidence of early postoperative deterioration and identify factors predictive of at-risk patients. Doing so may assist future evidence-based perioperative planning and allocation of patients to high-acuity facilities.
METHODS: With ethical approval, data from elective non-cardiac surgical patients were collected between May and August 2013. Patient and surgical factors potentially related to postoperative deterioration were collected from preoperative assessment records. Data on deterioration in the postanaesthesia care unit (PACU), and on the wards were collected prospectively for a period of 72 h postoperatively. Patient factors, surgical factors and PACU events were compared with ward events using binomial logistic regression analysis.
RESULTS: Of the 747 patients, postoperative deterioration was common both in PACU (155 (20.1%) patients) and on the wards (125 (16.7%)). Common ward events included hypotension (64 (8.2%)) and desaturation (59 (6.2%)). A rapid response team call occurred for 33 (4.4%) patients and an unplanned ICU admission for seven (0.9%) patients. A history of atrial fibrillation and chronic liver disease, duration of surgery and excessive sedation in PACU, among others, were strongly associated with subsequent ward deterioration. However, measures of surgical complexity were not.
CONCLUSIONS: Patient factors, duration of surgery and events in PACU can be predictive of subsequent early postoperative ward clinical deterioration. Such information may aid appropriate perioperative decision-making with respect to postoperative utilization of high-acuity facilities.
© 2017 Royal Australasian College of Surgeons.

Entities:  

Keywords:  anaesthesia; intensive care units; perioperative care; postoperative complications; risk factors

Mesh:

Year:  2017        PMID: 28147435     DOI: 10.1111/ans.13874

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  3 in total

1.  Effect of a newly designed observation, response and discharge chart in the Post Anaesthesia Care Unit on patient outcomes: a quasi-expermental study in Australia.

Authors:  Maryann Street; Nicole M Phillips; Mohammadreza Mohebbi; Bridie Kent
Journal:  BMJ Open       Date:  2017-12-03       Impact factor: 2.692

2.  Protocol for an observational study of delirium in the post-anaesthesia care unit (PACU) as a potential predictor of subsequent postoperative delirium.

Authors:  Victoria Cui; Catherine M Tedeschi; Vanessa L Kronzer; Sherry L McKinnon; Michael S Avidan
Journal:  BMJ Open       Date:  2017-07-10       Impact factor: 2.692

3.  Preoperative Risk Assessment: A Poor Predictor of Outcome in Critically ill Elderly with Sepsis After Abdominal Surgery.

Authors:  Anne C M Cuijpers; Marielle M E Coolsen; Ronny M Schnabel; Susanne van Santen; Steven W M Olde Damink; Marcel C G van de Poll
Journal:  World J Surg       Date:  2020-08-30       Impact factor: 3.352

  3 in total

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