Perioperative medicine & outcomes

Development and validation of an instrument to predict prolonged length of stay in the postanesthesia care unit following ambulatory surgery

Can J AnaesthPublished Prediction model development and validation study

Authors' conclusion

We developed and validated a preoperative prediction tool for prolonged PACU-LOS after ambulatory surgery that can be used to guide scheduling in ambulatory surgery to optimize PACU use during normal work hours, particularly in settings without limitation of PACU bed availability.

Study context

Population
Patients receiving anaesthesia care in ambulatory surgery centres
Participants
183,711 vs 148,105
Comparison
Development and internal validation vs Validation
  • Development and internal validationn = 183,711
  • Validationn = 148,105
Outcome
Prolonged postanesthesia care unit length of stay (PACU-LOS) (more than four hours) after ambulatory surgery
Methodological detailsretrospective registry, external validation, stepwise backwards elimination
  • Retrospective registry
  • External validation
  • Stepwise backwards elimination

Performance

As reported in the abstract

Discrimination of ASRI (AUC)

AUC, development cohort

0.82

95% CI 0.82 to 0.83

AUC, internal validation cohort

0.82

95% CI 0.81 to 0.83

AUC, external validation cohort

0.80

95% CI 0.79 to 0.80

Further findings

Predicted risk of PACU stay past 8 p.m., afternoon cases, ASRI ≥ 43 vs low scores

ASRI ≥ 43
32% (95% CI, 31.1 to 33.3)
Low score values
8% (95% CI, 7.9 to 8.5)
  • P-for-interaction < 0.001

Direct PACU cost of care, ASRI ≥ 43 (afternoon cases)

Higher direct PACU cost
USD 207 (95% CI, 194 to 2,019)
Model estimate
1.68 (95% CI, 1.64 to 1.73; P < 0.001)

PACU use efficiency

Effects of using ASRI greater in a free-standing ASC with no limitations on PACU bed availability

Original publication

Development and validation of an instrument to predict prolonged length of stay in the postanesthesia care unit following ambulatory surgery. Can J Anaesth. Published 13 November 2023. doi:10.1007/s12630-023-02604-1

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