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Timing of adverse events in patients undergoing acute and elective hip arthroplasty surgery: a multicentre cohort
Martin Magnéli1,2, Paula Kelly-Pettersson3,2, Cecilia Rogmark4,5
1Department of Clinical Sciences at Danderyd Hospital, Karolinska Institute, Stockholm, Sweden martin.magneli@ki.se.
Objective:
To explore timing in relation to all types of adverse events (AEs), severity and preventability for patients undergoing acute and elective hip arthroplasty.
Design:
A multicentre cohort study using retrospective record review with Global Trigger Tool methodology in combination with data from several registers.
Setting:
24 hospitals in 4 major regions of Sweden.
Participants:
Patients ≥18 years, undergoing acute or elective total or hemiarthroplasty of the hip, were eligible for inclusion. Reviews of weighted samples of 1998 randomly selected patient records were carried out using Global Trigger Tool methodology. The patients were followed for readmissions up to 90 days postoperatively throughout the whole country.
Results:
The cohort consisted of 667 acute and 1331 elective patients. Most AEs occurred perioperatively and postoperatively (n=2093, 99.1%) and after discharge (n=1142, 54.1%). The median time from the day of surgery to the occurrence of AE was 8 days. The median days for different AE types ranged from 0 to 24.5 for acute and 0 to 71 for elective patients and peaked during different time periods. 40.2% of the AEs, both major and minor, occurred within postoperative days 0-5 and 86.9% of the AEs occurred within 30 days. Most of the AEs were deemed to be of major severity (n=1370, 65.5%) or preventable (n=1591, 76%).
Conclusions:
A wide variability was found regarding the timing of different AEs with the majority occurring within 30 days. The timing and preventability varied regarding the severity. Most of the AEs were deemed to be preventable and/or of major severity. To increase patient safety for patients undergoing hip arthroplasty surgery, a better understanding of the multifaceted nature of the timing of AEs in relation to the occurrence of differing AEs is needed.
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