Four questions to identify patients with ASA III or higher

Bernhard Springer1, Ulrich Bechler1, Andi Kolodny2

  • 1Adult Reconstruction and Joint Replacement Division, Hospital for Special Surgery, 535 E 70th Street, New York, NY, 10021, USA.

Insights

A simple four-question screening tool effectively identifies patients with American Society of Anesthesiologists (ASA) Physical Status class III and IV. This aids in optimizing surgical referrals and patient work-ups in high-volume settings.

Area of Science:

  • Anesthesiology
  • Perioperative Medicine
  • Health Services Research

Background:

  • Patient mortality and perioperative complications are linked to advanced age, obesity, and high American Society of Anesthesiologists (ASA) Physical Status classes III and IV.
  • High-volume medical institutions utilize central referral services as the primary patient contact point.
  • Current referral processes may benefit from enhanced patient stratification for optimized perioperative management.

Purpose of the Study:

  • To introduce and validate a straightforward four-step questionnaire for identifying patients with ASA Physical Status class III and IV.
  • To improve the efficiency and accuracy of patient referrals and perioperative evaluations.
  • To facilitate better resource allocation and patient management in busy clinical settings.

Main Methods:

  • A cohort of 775 patients referred through a physician referral service (PRS) and subsequently undergoing surgery was analyzed.
  • Data from the initial PRS questionnaire were retrospectively examined.
  • Patient demographics included 53.4% women and 46.6% men, with an average age of 61.4 years.

Main Results:

  • Logistic regression identified hypertension, diabetes mellitus (on medication), use of blood thinners (excluding aspirin), and 4-9 prescribed medications as predictors for ASA III/IV status.
  • A receiver-operating characteristic (ROC) curve analysis demonstrated 82.8% accuracy when two of the four questionnaire items were positive.
  • The area under the ROC curve was 0.876, indicating strong predictive performance.

Conclusions:

  • A concise, four-step questionnaire can effectively screen for patients with ASA III or IV status prior to medical appointments.
  • This screening tool can help balance patient referrals across providers in large medical groups.
  • Implementing this questionnaire can streamline the referral process and improve perioperative care planning.
Abstract

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