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Purpose <p>This study aims to identify predictors of discharge to post-acute care in geriatric emergency general surgery (EGS) patients.</p> Methods <p>This is a retrospective study of geriatric emergency general surgery (EGS) patients at a tertiary care facility between 2017 and 2018. Inclusion criteria were ≥ 65&#xa0;years old and presented directly from home. Non-survivors or those admitted from a healthcare facility were excluded. The primary outcome was discharge to home versus post-acute care.</p> Results <p>Out of 577 patients, the median age was 74, and 36.9% were discharged to a post-acute care facility. Factors predicting discharge to post-acute care were: mobility aid use (1.92, [1.19–3.11], p = 0.008), cerebrovascular accident (4.67, [1.99–10.94], p &lt; 0.001), delirium (11.06, [2.29–53.43], p = 0.003), pre-operative transfusion (2.39, [1.13–5.08], p = 0.023), fall history (3.74, [1.90–7.36], p &lt; 0.001), AKI (5.42, [2.61–11.25], p &lt; 0.001), and lack of capacity to consent (4.11, [2.10–8.02], p &lt; 0.001). Non-operative management was protective against discharge to post-acute care (0.38, [0.24–0.60], p &lt; 0.001).</p> Conclusion <p>Early recognition of the role of these factors in influencing discharge disposition may help with clinical decision-making and discharge planning.</p>

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Predictors against discharge to home in geriatric emergency general surgery patients

  • 期刊论文

  • 发表日期：

    2025年1月14日

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  • Vahe S. Panossian,
  • May Abiad,
  • Jefferson Proaño,
  • Emanuele Lagazzi,
  • Ikemsinachi C. Nzenwa,
  • Wardah Rafaqat,
  • Suzanne Arnold,
  • Veerle P. C. van Zon,
  • Casey Luckhurst,
  • Jonathan J. Parks,
  • Michael P. DeWane,
  • George C. Velmahos,
  • John O. Hwabejire

摘要

Purpose

This study aims to identify predictors of discharge to post-acute care in geriatric emergency general surgery (EGS) patients.

Methods

This is a retrospective study of geriatric emergency general surgery (EGS) patients at a tertiary care facility between 2017 and 2018. Inclusion criteria were ≥ 65 years old and presented directly from home. Non-survivors or those admitted from a healthcare facility were excluded. The primary outcome was discharge to home versus post-acute care.

Results

Out of 577 patients, the median age was 74, and 36.9% were discharged to a post-acute care facility. Factors predicting discharge to post-acute care were: mobility aid use (1.92, [1.19–3.11], p = 0.008), cerebrovascular accident (4.67, [1.99–10.94], p < 0.001), delirium (11.06, [2.29–53.43], p = 0.003), pre-operative transfusion (2.39, [1.13–5.08], p = 0.023), fall history (3.74, [1.90–7.36], p < 0.001), AKI (5.42, [2.61–11.25], p < 0.001), and lack of capacity to consent (4.11, [2.10–8.02], p < 0.001). Non-operative management was protective against discharge to post-acute care (0.38, [0.24–0.60], p < 0.001).

Conclusion

Early recognition of the role of these factors in influencing discharge disposition may help with clinical decision-making and discharge planning.