Effect of the Gupta Score on Pre-operative Cardiology Consultation Requests in Noncardiac Nonvascular Surgery

Funda Atar1, Fatma Özkan Sipahioğlu1, Gülsen Keskin1

  • 1University of Health Sciences Turkey, Etlik City Hospital, Clinic of Anaesthesiology and Reanimation, Ankara, Turkey.

Insights

The Gupta scale can reduce unnecessary cardiology consultations and diagnostic testing in preoperative evaluations. This approach may decrease surgical delays, intensive care unit stays, and overall healthcare costs.

Area of Science:

  • Cardiology
  • Anesthesiology
  • Health Services Research

Background:

  • Cardiology consultations are frequently required for pre-operative evaluations.
  • Unnecessary consultations increase workload, delay surgeries, and incur additional costs.
  • The Gupta scale offers a potential solution to optimize pre-operative cardiac risk assessment.

Purpose of the Study:

  • To evaluate the impact of the Gupta scale on preoperative cardiology consultations and resource utilization.
  • To compare surgical delays, major adverse cardiac events (MACE), and costs between patients evaluated with and without the Gupta scale.

Main Methods:

  • Prospective study of 898 patients undergoing elective noncardiac, nonvascular surgery.
  • Group I: Standard pre-operative assessment without a specific risk index.
  • Group II: Pre-operative assessment utilizing the Gupta scale.

Main Results:

  • The Gupta scale group significantly reduced cardiology consultations (P<0.001) and diagnostic testing (21.9% vs 8.75%).
  • Intensive care unit (ICU) stay was significantly shorter in the Gupta group (P=0.019).
  • Costs were significantly lower in the Gupta group (P=0.019), with a trend towards fewer MACE (3.08% vs 2.19%, P=0.076).

Conclusions:

  • The Gupta scale effectively reduces unnecessary pre-operative cardiology consultations and diagnostic testing.
  • Implementing the Gupta scale can lead to decreased surgical delays, ICU admissions, and healthcare expenditures.
  • The Gupta scale shows promise in optimizing pre-operative patient management and resource allocation.
Abstract

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