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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.
Background:
Increased age, obesity, and American Society of Anesthesiologists (ASA) Physical Status class III and IV have been reported as predictors for mortality and perioperative complications. High-volume institutions rely on central referral services as first contact point for patients. The current study reports on a simple four-step questionnaire to identify patients with ASA-physical status class III and IV to improve referral processes and optimize perioperative work ups.
Materials And Methods:
Seven hundred and seventy-five patients who called the physician referral service (PRS) at the author's institution and subsequently underwent surgery were enrolled in this study. The answers to the initial PRS questionnaire were analyzed. The study cohort consisted of 414 women (53.4%) and 361 men (46.6%) with an average age of 61.4 years (range 44-90 years) at the time of surgery.
Results:
Binary logistic regression revealed hypertension, diabetes mellitus (using medication), using blood thinner (other than Aspirin) and a number of 4-9 prescribed medication, respectively, as predictors for ASA III and IV. Receiver-operating characteristic (ROC) curve analysis identified a sensitivity of 82.4%, a specificity of 82.9%, and an accuracy of 82.8%, when two of these four questions are answered "yes". The area under the curve for this analysis was 0.876 [95% confidence interval (CI) 0.845-0.908]. Positive and negative likelihood ratios were 4.8 (95% CI 4.0-5.8) and 0.2 (95% CI 0.1-0.3), respectively.
Conclusions:
This study revealed a simple four-step questionnaire to identify patients with ASA III or IV before a medical appointment. This helps to balance referrals between multiple providers in high-volume medical groups.
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