Letter to the Editor: ASA Physical Status Classification in Surgical Oncology and the Importance of Improving Inter-Rater Reliability

Transfers and anesthesia-related postoperative outcomes after 3361 same-day cancer surgeries at a freestanding surgery center: An observational retrospective study

BACKGROUND AND OBJECTIVES

Expanding outpatient surgery to the increasing number of procedures and patient populations warrants continuous evaluation of postoperative outcomes to ensure the best care and safety. We describe adverse postoperative outcomes and transfer rates related to anesthesia in a large sample of patients who underwent same-day cancer surgery at a freestanding ambulatory surgery center.

METHODS

Between January 2017 and June 2021, 3361 cancer surgeries, including breast and plastic, head and neck, gynecology, and urology, were performed. The surgeries were indicated for diagnosis, staging, and/or treatment. We report the incidence of transfers and adverse postoperative outcomes related to anesthesia.

RESULTS

Breast and plastic surgeries were the most common (1771, 53%), followed by urology (1052, 31%), gynecology (410, 12%), and head and neck surgeries (128, 4%). Based on patients' first procedure, comorbidity levels were highest for urology (75% American Society of Anesthesiologists physical status score 3, 1.7% score 4) and lowest for breast surgeries (31% score 3, 0.2% score 4). Most gynecology surgeries used general anesthesia (97.6%), whereas breast surgeries used the least (38%). A total of seven patients (0.2%; 95% CI: 0.08%-0.4%) were immediately transferred to an outside hospital; four due to anesthesia-related reasons. Only 7 (0.2%) patients needed additional postoperative care related to anesthesia-related adverse events, specifically cardiac events (4), difficult intubations (2), desaturation (1), and agitation, nausea, and headache (1).

CONCLUSIONS

The incidence of anesthesia-related adverse postoperative outcomes is low in cancer patients undergoing outpatient surgeries at our freestanding ambulatory surgery center. This suggests that carefully selected cancer patients, including patients with metastatic cancer, can undergo anesthesia for same-day surgery, making cancer care accessible locally and reducing stress associated with travel for treatment. More research investigating complication rates related to surgery and to cancer disease trajectory are needed to establish a complete evaluation of safety for outpatient cancer surgery.

The Pathologic Fracture Mortality Index: A Novel Externally Validated Tool for Predicting 30-day Postoperative Mortality

INTRODUCTION

Current mortality predictive tools, in the setting of completed or impending pathologic fractures, are nonspecific. Clinical decision making and mortality prediction in research would benefit from creation of a high-fidelity scoring system for calculating the risk of 30-day postoperative mortality. The purpose of this study is to develop a validated research and clinical tool that is superior to existing methods in estimating postoperative mortality risk after fixation of pathologic fractures.

METHODS

One thousand two hundred nineteen patients who underwent fixation for either completed or impending pathologic fractures in the National Surgical Quality Improvement Program (2012 to 2018) database were analyzed. Multivariable logistic regression with diagnostics was used to develop a predictive model in a derivation cohort and then validated in a validation cohort. Area under the curve (AUC) from receiver operator curve analysis was used to assess accuracy. A score was derived and compared with the American Society of Anesthesiologists classification and modified five-component frailty index (mF-I5). The score was validated in an exclusive cohort of patients who underwent fixation for pathologic fractures at a tertiary care center.

RESULTS

Of 1,219, a total of 177 (15%) patients did not survive beyond 30 days postoperatively. AUC for our predictive model was 0.76 in the derivation and 0.75 in the validation National Surgical Quality Improvement Program cohorts. The derived Pathologic Fracture Morbidity Index included seven data points: anemia, alkaline phosphatase > 150 U/L, albumin < 3.5 mg/dL, pulmonary disease, recent weight loss, functional dependence, and white blood cell count >12,000. The PFMI (AUC = 0.75) was more accurate than ASA (AUC = 0.60) or mF-5 (AUC = 0.58) (P < 0.01). The AUC for PFMI in predicting 30-day mortality in the exclusive cohort (N = 39) was 0.74.

CONCLUSION

The PFMI is a validated tool that may be used for predicting postoperative 30-day mortality after fixation of pathologic fractures, with higher level of accuracy compared with ASA or mF-I5.

American Society of Anesthesiologists physical status score as a predictor of long-term outcome in women with endometrial cancer

OBJECTIVE

To study the association of the American Society of Anesthesiologists (ASA) physical status score with long-term outcome in endometrial cancer.

METHODS

Overall, disease-specific and non-cancer-related survival were estimated using simple and multivariable Cox regression analyses and the Kaplan-Meier method.

RESULTS

A total of 1166 patients were included in the study. Median follow-up time was 76 (range 1-136) months. All-cause and non-cancer-related mortality were increased in patients whose ASA physical status score was III (HRs 2.5 and 8.0, respectively) or IV (HRs 5.7 and 25, respectively), and cancer-related mortality was increased in patients whose score was IV (HR 2.7). Kaplan-Meier analyses demonstrated a worse overall, disease-specific and non-cancer-related survival for patients whose score was ≥III (p<0.0001 for all). Disease-specific survival was also separately analyzed for patients with stage I and stage II-IV cancer. Compared with patients whose score was ≤II, the survival was worse for patients whose score was ≥III in both subgroups of stages (p=0.003 and p=0.017 for stage I and stages II-IV, respectively). ASA physical status score remained an independent predictor of all-cause mortality (HR 2.2 for scores ≥III), cancer-related mortality (HRs 1.7 and 2.2 for scores ≥III and IV, respectively) and non-cancer related mortality (HR 3.1 for scores ≥III) after adjustment for prognostically relevant clinicopathologic and blood-based covariates. ASA physical status score also remained an independent predictor of cancer-related mortality after exclusion of patients who were at risk for nodal involvement based on features of the primary tumor but who did not undergo lymphadenectomy, and patients with advanced disease who received suboptimal chemotherapy (HRs 1.6 and 2.5 for scores ≥III and IV, respectively).

CONCLUSIONS

ASA physical status score independently predicts overall survival, disease-specific survival, and non-cancer-related survival in endometrial cancer.