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Multicenter Study
. 2022 Dec;20(6):e429-e446.
doi: 10.1016/j.surge.2022.02.009. Epub 2022 Mar 28.

IMPACT-Global Hip Fracture Audit: Nosocomial infection, risk prediction and prognostication, minimum reporting standards and global collaborative audit: Lessons from an international multicentre study of 7,090 patients conducted in 14 nations during the COVID-19 pandemic

Collaborators, Affiliations
Multicenter Study

IMPACT-Global Hip Fracture Audit: Nosocomial infection, risk prediction and prognostication, minimum reporting standards and global collaborative audit: Lessons from an international multicentre study of 7,090 patients conducted in 14 nations during the COVID-19 pandemic

Andrew J Hall et al. Surgeon. 2022 Dec.

Abstract

Aims: This international study aimed to assess: 1) the prevalence of preoperative and postoperative COVID-19 among patients with hip fracture, 2) the effect on 30-day mortality, and 3) clinical factors associated with the infection and with mortality in COVID-19-positive patients.

Methods: A multicentre collaboration among 112 centres in 14 countries collected data on all patients presenting with a hip fracture between 1st March-31st May 2020. Demographics, residence, place of injury, presentation blood tests, Nottingham Hip Fracture Score, time to surgery, management, ASA grade, length of stay, COVID-19 and 30-day mortality status were recorded.

Results: A total of 7090 patients were included, with a mean age of 82.2 (range 50-104) years and 4959 (69.9%) being female. Of 651 (9.2%) patients diagnosed with COVID-19, 225 (34.6%) were positive at presentation and 426 (65.4%) were positive postoperatively. Positive COVID-19 status was independently associated with male sex (odds ratio (OR) 1.38, p = 0.001), residential care (OR 2.15, p < 0.001), inpatient fall (OR 2.23, p = 0.003), cancer (OR 0.63, p = 0.009), ASA grades 4 (OR 1.59, p = 0.008) or 5 (OR 8.28, p < 0.001), and longer admission (OR 1.06 for each increasing day, p < 0.001). Patients with COVID-19 at any time had a significantly lower chance of 30-day survival versus those without COVID-19 (72.7% versus 92.6%, p < 0.001). COVID-19 was independently associated with an increased 30-day mortality risk (hazard ratio (HR) 2.83, p < 0.001). Increasing age (HR 1.03, p = 0.028), male sex (HR 2.35, p < 0.001), renal disease (HR 1.53, p = 0.017), and pulmonary disease (HR 1.45, p = 0.039) were independently associated with a higher 30-day mortality risk in patients with COVID-19 when adjusting for confounders.

Conclusion: The prevalence of COVID-19 in hip fracture patients during the first wave of the pandemic was 9%, and was independently associated with a three-fold increased 30-day mortality risk. Among COVID-19-positive patients, those who were older, male, with renal or pulmonary disease had a significantly higher 30-day mortality risk.

Keywords: Audit; COVID-19; Communicable disease; Frailty; Geriatric; Hip fracture; Infection; Meta-audit; Nosocomial; Orthopaedic; Outcomes; Prognosis; Reporting standards; Risk; Trauma.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Flow chart showing all patients, included and excluded patients, mortality outcomes according to COVID-19 status, and distribution of patients from participating nations.
Fig. 2
Fig. 2
Kaplan Meier curve for 30-day survival according to whether a patient was COVID negative (black) or COVID positive (red) within 30-days of admission. Log rank p < 0.001, 92.6% (95% CI 92.4 to 92.8) versus 72.7% (95% CI 69.4 to 76.0) at 30-days.
Fig. 3
Fig. 3
Kaplan Meier curve for 30-day survival according to whether a patient was COVID negative (black), COVID positive at admission (red) or COVID positive after admission (grey). Log rank p = 0.661, between COVID positive patients preoperatively (75.1%, 95% CI 69.4 to 80.8) versus postoperatively (71.4%, 95% CI 67.1 to 75.7) at 30-days.
Fig. 4
Fig. 4
ROC curve for lymphocyte count (grey) and albumin (black dashed) as a predictor of COVID-19 on admission. Lymphocyte: Area under the curve 60.7% (95% CI 56.7%–64.6%, p < 0.001). Threshold of 0.93 or less has 58.2% specificity and 56.6% sensitivity. Albumin: Area under the curve 61.3% (95% CI 57.5%–65.2%, p < 0.001). Threshold of 36 g/dL or less has 59.1% specificity and 57.1%sensitivity.
Fig. 5
Fig. 5
ROC curve for length of hospital stay (dashed line) as a predictor of developing COVID-19 following admission. Area under the curve 71.6% (95% CI 68.8%–74.4%, p < 0.001). Threshold of 10 days or more has 65% specificity and sensitivity.
Fig. 6
Fig. 6
Suggested reporting standards for studies investigating COVID-19 in hip fracture patients.

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