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

Identifying risk factors for postoperative complications following staging surgery for endometrial cancer

INTRODUCTION

Endometrial cancer is the most prevalent gynecologic malignancy, with increasing incidence primarily due to aging, obesity, and diabetes. Surgical staging, a gold standard treatment involving total hysterectomy with bilateral salpingo-oophorectomy and sentinel lymph node biopsy, presents various postoperative complications influencing patient outcomes and healthcare costs. This study aims to identify risk factors associated with short term postoperative complications following staging surgery for endometrial cancer.

METHODS

A retrospective cohort study conducted at a single university-affiliated medical center from January 2016 to December 2022. Data were extracted from electronic medical records, including patient demographics and comorbidities, surgical data including intraoperative complications, tumor histology and surgical outcomes. A composite adverse post operative outcome was defined, including need for post-operative blood transfusion, antibiotic treatment, Intensive care unit (ICU) admission, prolonged hospitalization, and 30-day readmission rates.

RESULTS

Among 495 patients, 34.3 % experienced at least one postoperative complication. Significant factors associated with complications included age over 65, ASA score >2, pathologic grade 3 tumours, and non-minimally invasive surgical approaches. Prolonged operative time (>75th percentile) and intraoperative complications also correlated with increased risk. Conversely, higher preoperative haemoglobin levels were protective against complications.

CONCLUSION

The findings emphasize the importance of recognizing risk factors such as advanced age, elevated ASA scores, and specific tumor characteristics to enhance preoperative assessments and surgical planning. By tailoring surgical approaches and optimizing patient preparation, healthcare providers may improve postoperative outcomes and reduce complications for patients undergoing staging surgery for endometrial cancer.

A Risk-scoring Model for Predicting Post-recurrence Survival in Patients With Endometrial Carcinoma

AIMS

The survival time of patients with recurrent endometrial carcinoma is generally short. However, considerable interindividual variation exists. We developed a risk-scoring model for predicting post-recurrence survival in patients with endometrial carcinoma.

MATERIALS AND METHODS

Patients with endometrial carcinoma treated at a single institution between 2007 and 2013 were identified. Pearson chi-squared analyses were used to compute odds ratios for the associations between risk factors and short survival after cancer recurrence. The results for biochemical analyses represented values at diagnosis of disease recurrence or values at initial diagnosis for those patients who had a primary refractory disease. Logistic regression models were constructed for the identification of variables that independently predict short post-recurrence survival. The models were used to assign points based on odds ratios for risk factors and risk scores were derived.

RESULTS

In total, 236 patients with recurrent endometrial carcinoma were included in the study. Based on overall survival analysis, 12 months was selected as the cut-off for short post-recurrence survival. Factors associated with short post-recurrence survival were platelet count, serum CA125 concentration and progression-free survival. A risk-scoring model with an area under the receiver operating characteristic curve (AUC) of 0.782 (95% confidence interval 0.713-0.851) was developed in patients without missing data (n = 182). When patients with a primary refractory disease were excluded, age and blood haemoglobin concentration were identified as additional predictors of short post-recurrence survival. For this subpopulation (n = 152), a risk-scoring model with an AUC of 0.821 (95% confidence interval 0.750-0.892) was developed.

CONCLUSIONS

We report a risk-scoring model that shows acceptable to excellent accuracy in predicting post-recurrence survival in patients with endometrial carcinoma, with primary refractory diseases included or excluded. This model has potential applications in precision medicine in patients with endometrial carcinoma.

Preoperative Prognostic Nutritional Index Is a Prognostic Indicator of Cancer-Specific Survival in Patients Undergoing Endometrial Cancer Surgery

BACKGROUND

The prognostic nutritional index (PNI) reflects systemic inflammation and nutritional status. This study aimed to evaluate the effect of preoperative PNI on postoperative cancer-specific survival in patients with endometrial cancer (EC).

METHODS

Demographic, laboratory, and clinical data were retrospectively collected from 894 patients who underwent surgical resection of EC. Preoperative PNIs were determined from the serum albumin concentration and total lymphocyte count, which were measured within 1 month before surgery. Patients were classified into high PNI (n = 619) and low PNI (n = 275) groups according to the preoperative PNI cut-off value of 50.6. The stabilized inverse probability of treatment weighting (IPTW) method was used to reduce bias: a weighting cohort divided into high PNI (n = 615.4) and low PNI (n = 272.3) groups. The primary outcome measure was postoperative cancer-specific survival.

RESULTS

The postoperative cancer-specific survival rate was higher in the high PNI group than the low PNI group in the unadjusted cohort (93.1% vs. 81.5%; proportion difference [95% confidence interval; 95% CI], 11.6% [6.6-16.6%]; P < 0.001) and in the IPTW-adjusted cohort (91.4% vs. 86.0%; 5.4% [0.8-10.2%]; P = 0.021). In the multivariate Cox proportional hazard regression model in the IPTW-adjusted cohort, high preoperative PNI (hazard ratio [95% CI], 0.60 [0.38-0.96]; P = 0.032) was an independent determinant of postoperative cancer-specific mortality. The multivariate-adjusted restricted cubic spline curve for the Cox regression model showed a significant negative association between preoperative PNI and postoperative cancer-specific mortality (P < 0.001).

CONCLUSION

High preoperative PNI was associated with improved postoperative cancer-specific survival in patients undergoing surgery for EC.

Age adjusted Charlson comorbidity index (a-CCI) AS a tool to predict 30-day post-operative outcome in general surgery patients

INTRODUCTION

Age adjusted Charlson comorbidity index (a-CCI) is an established scoring system to predict long-term mortality. However, its role in predicting 30-day post-operative outcome in general surgery patients is not well elucidated.

METHODS

This was a prospective observational study. Consecutive patients operated under general anaesthesia between January 2019 and December 2020 were enrolled. Their a-CCI was calculated and stratified as Grade 0 comorbidities (a-CCI score = 0), Grade A comorbidities (a-CCI score = 1 and 2) and Grade B comorbidities (a-CCI score ≥ 3). Post-operative complications were graded according to Clavien Dindo (CD) grading system and classified as minor complications (CD Grades I and II), major complications (CD Grades III-IV) and mortality (CD Grade V). Binary logistic regression and multi-nominal logistic regression analysis were done and relative risk ratios were calculated.

RESULT

A total of 925 patients were enrolled. The mean age was 42.75 (14-85 ± 10) years. 31% of our patients had complications within 30 days of surgery which included mortality in 2.7%. Compared with patients with Grade 0 comorbidities, the odds of getting complications is 1.2 times more in patients with Grade A comorbidities and 1.84 times more in patients with Grade B comorbidities (P = 0.205, 0.001 respectively). In comparison to patients with Grade 0 co-morbidities, risk of mortality is 3 and 17.86 times more in patients with Grade A and Grade B comorbidities (P = 0.121 and < 0.001 respectively).

CONCLUSION

a-CCI has clinical relevance in general surgical patients and can predict early post-operative outcome. It should be a part of our armamentarium for pre-operative assessment of surgical patients.

The Evolution, Current Value, and Future of the American Society of Anesthesiologists Physical Status Classification System

The American Society of Anesthesiologists (ASA) Physical Status classification system celebrates its 80th anniversary in 2021. Its simplicity represents its greatest strength as well as a limitation in a world of comprehensive multisystem tools. It was developed for statistical purposes and not as a surgical risk predictor. However, since it correlates well with multiple outcomes, it is widely used-appropriately or not-for risk prediction and many other purposes. It is timely to review the history and development of the system. The authors describe the controversies surrounding the ASA Physical Status classification, including the problems of interrater reliability and its limitations as a risk predictor. Last, the authors reflect on the current status and potential future of the ASA Physical Status system.

Influence of American Society of Anesthesiologists Score on Oncologic Outcomes in Patients With Upper Tract Urothelial Carcinoma After Radical Nephroureterectomy: A Large-Sample Study in Two Institutions

Introduction

As a research team of urologists and an anesthetist, we sought to investigate the prognostic significance of American Society of Anesthesiologists (ASA) score in patients with upper tract urothelial cancer (UTUC) after radical nephroureterectomy (RNU). ASA physical status (ASA-PS) classification not only was found to be associated with increased comorbidities but also independently factors for predicting morbidity and mortality. Accurate risk assessment was being particularly important for patients being considered for surgery.

Methods

Records for 958 patients with UTUC who underwent RNU were reviewed. Clinicopathologic variables, including ASA-PS, were assessed at two institutions. Overall survival (OS), cancer-specific survival (CSS), intravesical recurrence-free survival (IRFS), and metastasis-free survival (MFS) were estimated using the Kaplan–Meier method and Cox regression analyses. We measured the independent predictive value of ASA-PS for mortality by multivariate regression. Association of ASA-PS and clinicopathologic variables was assessed.

Results

The group of patients with ASA = 2/3 had a shorter 5-year OS (67.6% and 49.9%), CSS (72.9% and 58.1%), and MFS (75.1% and 58.5%). The median follow-up time was 39 months. Kaplan–Meier curves showed that the group with ASA = 2/3 had significantly poorer OS, CSS, and MFS. Adjusting for multiple potential confounding factors, multivariate analyses suggested that ASA score was an independent predictor of OS, CSS, and MFS (p = 0.004, p = 0.005, p < 0.001).

Conclusion

Higher ASA scores were independently associated with lower survival rate. This capability, along with its simplicity, makes it a valuable prognostic metric. It should be seriously referenced in UTUC patients being considered for RNU.