Surgeons Surgical Risk Calculator Research Articles

Comparison of a risk calculator with frailty indices in patients undergoing lung cancer resection.

Perioperative risk stratification is an essential component of preoperative planning for cancer surgery. While frailty has gained attention for its utility in risk stratification, no studies have directly compared it to existing risk calculators. Therefore, the objective of this study was to compare the risk stratification of the American College of Surgeons Surgical Risk Calculator (ACS-SRC), the Revised Risk Analysis Index (RAI-rev), and the Modified Frailty Index (5-mFI). The primary outcomes were 30-day postoperative morbidity, 30-day postoperative mortality, unplanned readmission, unplanned reoperation, and discharge disposition other-than-home. Patients undergoing anatomic lung resection for primary, non-small cell lung cancer were identified within the American College of Surgeons National Quality Improvement Program (ACS NSQIP) database. The ACS-SRC, RAI-rev, and 5-mFI tools were used to predict adverse postoperative events. Tools were compared for discrimination in the primary outcomes. 9663 patients undergoing anatomic lung resection for cancer between 2012 and 2014 were included. The cohort was 53.1% female. Median age at diagnosis was 67 (interquartile range = 59-74) years. Cardiothoracic surgeons performed 89% and general surgeons performed 11.0% of the operations. Perioperative morbidity and mortality rates were 10.9% (n = 1048) and 1.6% (n = 158). Rates of 30-day postoperative unplanned readmission and reoperation were 7.5% (n = 725) and 4.8% (n = 468). The ACS-SRC had the highest discrimination for all measured outcomes, as measured by the area under the receiver operating curve (AUC) and corresponding confidence interval (95% confidence interval [CI]). This included perioperative mortality (AUC = 0.74, 95% CI = 0.71-0.78), compared to RAI-rev (AUC = 0.66, 95% CI = 0.62-0.69) and 5-mFI (AUC = 0.61, 95% CI = 0.57-0.65; p < 0.001). The RAI-rev and 5-mFI had similar discrimination for all measured outcomes. ACS-SRC was the perioperative risk stratification tool with the highest predictive discrimination for adverse, 30-day, postoperative events for patients with cancer treated with anatomic lung resection.

Strategies to reduce morbidity following pleurectomy and decortication for malignant pleural mesothelioma.

Pleurectomy and decortication (PD) in malignant pleural mesothelioma has a high morbidity mostly associated with aspiration pneumonia (PNA), deep vein thrombosis (DVT), and foreign catheter sepsis. We instituted four strategies to reduce these complications and report our experience. This was a retrospective review of patients who underwent PD at the University of Pennsylvania between 2015 and 2022. Our patients underwent standard of care PD in addition to tracheostomy and gastrostomy/jejunostomy tube with therapeutic anticoagulation (AC) leading up to surgery. Measured outcomes were postoperative PNA, DVT, and sepsis. The predicted risk of those same outcomes had patients not undergone the interventions was calculated based on the American College of Surgeons (ACS) surgical risk calculator (SRC). A McNemar's test was used to determine whether the risk of having PNA, DVT and sepsis differed between the two subgroups. Fifty-five patients were included in the study. The mean age was 70 years (SD 6.2) with a mean of 21 (SD 19) pack-years of smoking. PNA, DVT, and catheter-related sepsis occurred in 12, four, and seven patients, respectively. Upon using the ACS SRC prediction model of the nonintervention group, PNA, DVT and catheter related sepsis was predicted to occur in 24 (paired data OR 5, 95% CI: 1.4-17.2; McNemar's test p = 0.008), 14 (paired data OR 3.5, 95% CI: 1.15-10.6; McNemar's test p = 0.03), and 17 (paired OR 3, 95% CI: 1.09-8.3; McNemar's test p = 0.04) patients, respectively. Patients undergoing tracheostomy creation, therapeutic AC at the time of diagnosis, and gastrostomy tube placement had a reduced risk of aspiration PNA, DVT, and catheter sepsis.

External Validation of the American College of Surgeons Surgical Risk Calculator in Elderly Patients Undergoing General Surgery Operations.

Preoperative risk stratification in the elderly surgical patient is an essential part of contemporary perioperative care and can be done with the use of the American College of Surgeons Surgical Risk Calculator (ACS-SRC). However, data on the generalizability of the ACS-SRC in the elderly is scarce. In this study, we report an external validation of the ACS-RC in a geriatric cohort. A retrospective analysis of a prospectively maintained database was performed including patients aged > 65 who underwent general surgery procedures during 2012−2017 in a Greek academic centre. The predictive ability of the ACS-SRC for post-operative outcomes was tested with the use of Brier scores, discrimination, and calibration metrics. 471 patients were included in the analysis. 30-day postoperative mortality was 3.2%. Overall, Brier scores were lower than cut-off values for almost all outcomes. Discrimination was good for serious complications (c-statistic: 0.816; 95% CI: 0.762−0.869) and death (c-statistic: 0.824; 95% CI: 0.719−0.929). The Hosmer-Lemeshow test showed good calibration for all outcomes examined. Predicted and observed length of stay (LOS) presented significant differences for emergency and for elective cases. The ACS-SRC demonstrated good predictive performance in our sample and can aid preoperative estimation of multiple outcomes except for the prediction of post-operative LOS.

The efficacy of the American College of Surgeons Surgical Risk Calculator in the prediction of postoperative complications in oncogeriatric patients after curative surgery for abdominal tumors.

The American College of Surgeons (ACS) has developed a Surgical Risk Calculator (SRC) to predict postoperative surgical complications. No studies have reported the performance of the ACS-SRC in oncogeriatric patients. Our objective was to evaluate the predictive performance of the ACS-SRC in these patients, treated with curative surgery for an abdominal malignancy. This is a retrospective study including 136 patients who underwent elective abdominal oncological surgery, between 2017 and 2019, at our institution. Postoperative complications were classified according to the ACS-SRC, and its predictive performance was analyzed by assessing discrimination and calibration and using receiver operating characteristics and area under the curve (AUC). Discrimination was adequate with AUC of 0.7113 (95% confidence interval [CI]: 1.062-1.202, p = 0.0001; Brier 0.198) for serious complications and 0.7230 (95% CI: 1.101-1.756, p = 0.0057; Brier 0.099) for pneumonia; and poor for sepsis, surgical site infection (SSI), and urinary tract infection (UTI) with AUCs of 0.6636 (95% CI: 1.016-1.353, p = 0.0299; Brier 0.142), 0.6167 (95% CI: 1.003-1.266, p = 0.0450; Brier 0.175), and 0.6598 (95% CI: 1.069-2.145, p = 0.0195; Brier 0.082), respectively. The ACS-SRC is an adequate predictor for serious complications and pneumonia in oncogeriatric patients treated surgically for abdominal cancer. However, the predictive power of the calculator appears to be low for sepsis, UTI, and SSI.

A prospective evaluation of the American College of Surgeons Surgical Risk Calculator as a predictor of complications for breast surgery.

The infection rates for operative management of breast cancer are often unpredictable and higher than average for a clean surgical procedure (0.8% and 28%). We aimed to assess the effectiveness of the American College of Surgeons (ACS) Surgical Risk Calculator (SRC), a preoperative scoring system to calculate the risk of surgical site infection (SSI) and serious complications following breast surgery. Prospective risk scoring using the SRC on 213 patients in the preoperative clinic and the incidence of SSI and serious complications within 30 days postoperatively was prospectively collected. The overall SSI rate in our sample was 5% (n=11/210 patients). For a one-unit increase in SRC score, the odds of having SSI increased by a factor of 1.88 (95% CI 1.33 to 2.74). Odds of developing SSI were higher in patients with high Body Mass Index (OR 1.25; 95% 1.13 to 1.40) and American Society of Anesthesiologists score 3 (OR 11.54; 95% CI 2.98 to 43.65). The odds of developing an SSI were ∼19 times higher if a patient had an SRC score >3.0 versus those with an SRC score <3.0. Only 3% (n=4) of patients who had an SRC score of <3.0 experienced SSI, compared with 33% (n=7) for those with a risk score of >3.0. Out of 210 patients, 9 had serious complications (4.2%). ACS SRC Score of more than 3 was associated with a higher likelihood of SSI. SRC was able to predict the risk of SSI and serious complications and can be used preoperatively for identification and risk minimisation.

Evaluation of the American College of Surgeons National Surgical Quality Improvement Program Risk Calculator to predict outcomes after hysterectomies.

To evaluate the American College of Surgeons (ACS) surgical risk calculator's reliability in predicting outcomes in hysterectomies. This is a prospective cohort study at a large community-based hospital. Twenty-one preoperative and postoperative criteria were abstracted from the electronic medical record and entered into the online ACS calculator to determine a risk score. Logistical regression was used to determine the association between risk score and actual outcome. The prediction capability was analyzed with c-statistic, Hosmer-Lemeshow, and Brier score. A total of 634hysterectomies were performed during the study period from January to April 2019. Patients were predominantly 55years old, white (53%) and overweight (body mass index 30). Predicted perioperative adverse events were significantly higher than actual adverse events across all domains. In all, 54/634 (8.5%) patients experienced postoperative urinary tract infection. C-statistics for return to operating room, renal failure, and readmission were 0.607 (95% C Statistic index [CI] 0.370-0.845), 0.882 (95% CI 0.802-0.962), 0.637 (95% CI 0.524-0.750), respectively. Brier scores approached one in all categorical domains. The ACS surgical risk calculator holds the promise of predicting postoperative complications or length of stay for patients undergoing hysterectomy. Further adjustment to this tool is required before it can be advocated for use in the clinical setting.

Can Platelet Leukocyte Ratio Improve the American College of Surgeons Surgical Risk Calculator for Patients with Surgically Resected Colorectal Cancer?

Can Platelet Leukocyte Ratio Improve the American College of Surgeons Surgical Risk Calculator for Patients with Surgically Resected Colorectal Cancer?

The American College of Surgeons Surgical Risk Calculator performs well for pulmonary resection: A validation study

ObjectiveThe American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator (NSQIP SRC) was developed to estimate the risk of postoperative morbidity and mortality within 30 days of an operation. We sought to externally evaluate the performance of the NSQIP SRC for patients undergoing pulmonary resection. MethodsPatients undergoing pulmonary resection at our center between January 2016 and December 2018 were included. Using data from our institution's prospectively maintained Society of Thoracic Surgeons General Thoracic Database, we identified 2514 patients. We entered requisite patient demographic information, preoperative risk factors, and procedural details into the online calculator. Predicted performance of the calculator versus observed outcomes was assessed by discrimination (concordance index [C-index]) and calibration. ResultsThe observed and predicted probabilities of any complication were 8.3% and 9.9%, respectively, and of serious complications were 7.4% and 9.2%, respectively. Observed and predicted 30-day mortality were 0.5% and 0.9%, respectively. The C-index for readmission was 0.644; the C-indices corresponding to all other outcomes in the NSQIP SRC ranged from 0.703 to 0.821. Calibration curves indicated excellent calibration for all binary end points, with the exception of renal failure (predicted underestimated observed probabilities), discharge to a nursing or rehabilitation facility (overestimated), and sepsis (overestimated). Correlation between predicted and observed length of stay was moderate (Spearman coefficient, 0.562), and calibration was good. ConclusionsExcept for readmission, renal failure, discharge to a location other than home, and sepsis, the NSQIP SRC can be used to reasonably predict postoperative complications in patients undergoing pulmonary resection.

Assessment of the American College of Surgeons surgical risk calculator of outcomes after hepatectomy for liver tumors: Results from a cohort of 950 patients

BackgroundThe American College of Surgeons National Surgical Quality Improvement Program's (ACS-NSQIP) calculator has been endorsed to counsel patients regarding complications. The aim of this study was to assess its ability to predict outcomes after hepatectomy. MethodsOutcomes generated by the ACS-NSQIP were recorded in a consecutive cohort of patients. By using established classifications of complications, post-hepatectomy insufficiency and bile leak, the calculator was tested by the comparison of expected versus observed rates of events. The performance of the calculator was tested by using c-statistic and Brier score. Results950 patients who underwent hepatectomy between January 2014 and June 2019 were included. Predicted rates were significantly lower than actual rates: the mean ACS-NSQIP morbidity was 17.97% ± 8.4 vs. actual 37.01% ± 0.56 (P < 0.001); the mean ACS-NSQIP mortality was 0.91% ± 1.48 vs. actual 1.76% ± 0.11 (P < 0.001). Predicted length of stay (LOS) was significantly shorter: mean ACS-NSQIP was 5.81 ± 1.66 days vs. actual 10.91 ± 4.6 days (P < 0.001). Post-hepatectomy liver insufficiency and bile leak were recorded in 6.8% and 11.9% of patients, respectively. These events were not expressed by the calculator. C-statistic and Brier scores showed low performance of the calculator. ConclusionThe calculator underestimates the risks of complications, mortality and LOS after hepatectomy. Refinements of the ACS-NSQIP model that account for organ-specific risks should be considered.

Evaluation of the American College of Surgeons Surgical Risk Calculator in Hysterectomy

Evaluation of the American College of Surgeons Surgical Risk Calculator in Hysterectomy

A comparison of the new, parsimonious tool Surgical Risk Preoperative Assessment System (SURPAS) to the American College of Surgeons (ACS) risk calculator in emergency surgery

BackgroundThe Surgical Risk Preoperative Assessment System accurately predicts postoperative complications in elective surgery using only 8 preoperative variables, but its performance in emergency surgery has not been evaluated. We hypothesized that the Surgical Risk Preoperative Assessment System accurately predicts postoperative complications in emergency surgery and compared its performance to that of the American College of Surgeons Surgical Risk Calculator. MethodsWe calculated the Surgical Risk Preoperative Assessment System and the American College of Surgeons Surgical Risk Calculator risk estimates in a random sample of 1,010 emergency surgery cases from the American College of Surgeons National Surgical Quality Improvement Program 2014 to 2017 database. Risk estimates were compared with known outcomes. Analyses included the Hosmer-Lemeshow goodness of fit graphs and P values, c-indexes, and Brier scores. ResultsResults were similar between the Surgical Risk Preoperative Assessment System and the American College of Surgeons Surgical Risk Calculator for mortality, urinary tract infection, cardiac, venous thromboembolism, and renal complications. The American College of Surgeons Surgical Risk Calculator underestimated morbidity compared with the Surgical Risk Preoperative Assessment System (16.04% American College of Surgeons Surgical Risk Calculator vs 24.88% Surgical Risk Preoperative Assessment System vs 24.3% observed). Both calculators overestimated readmission (7.67% American College of Surgeons Surgical Risk Calculator vs 5.18% Surgical Risk Preoperative Assessment System vs 4.1% observed). ConclusionBoth calculators predicted mortality, urinary tract infection, cardiac, venous thromboembolism, and renal complications well, but readmissions relatively poorly. The Surgical Risk Preoperative Assessment System estimated overall morbidity accurately, while the American College of Surgeons Surgical Risk Calculator underestimated this risk.

Improved Understanding of Acute Incisional Hernia Incarceration: Implications for Addressing the Excess Mortality of Emergent Repair

Incisional hernia develops in up to 20% of patients undergoing abdominal operations. We sought to identify characteristics associated with poor outcomes after acute incisional hernia incarceration. We performed a retrospective cohort study of adult patients with incisional hernias undergoing elective repair or with acute incarceration between 2010 and 2017. The primary end point was 30-day mortality. Logistic regression was used to determine adjusted odds associated with 30-day mortality. The American College of Surgeons Surgical Risk Calculator was used to estimate outcomes had these patients undergone elective repair. A total of 483 patients experienced acute incarceration; 30-day mortality was 9.52%. Increasing age (adjusted odds ratio 1.05; 95% CI, 1.02 to 1.08) and bowel resection (adjusted odds ratio 3.18; 95% CI, 1.45 to 6.95) were associated with mortality. Among those with acute incarceration, 231 patients (47.9%) had no documentation of an earlier surgical evaluation and 252 (52.2%) had been evaluated but had not undergone elective repair. Among patients 80 years and older, 30-day mortality after emergent repair was high (22.9%) compared with estimated 30-day mortality for elective repair (0.73%), based on the American College of Surgeons Surgical Risk Calculator. Estimated mortality was comparable with observed elective repair mortality (0.82%) in an age-matched cohort. Similar mortality trends were noted for patients younger than 60 years and aged 60 to 79 years. Comparison of predicted elective repair and observed emergent repair mortality in patients with acute incarceration suggests that acceptable outcomes could have been achieved with elective repair. Almost one-half of acute incarceration patients had no earlier surgical evaluation, therefore, targeted interventions to address surgical referral can potentially result in fewer incarceration-related deaths.

Comparison of accuracy of prediction of postoperative mortality and morbidity between a new, parsimonious risk calculator (SURPAS) and the ACS Surgical Risk Calculator

BackgroundThe novel Surgical Risk Preoperative Assessment System (SURPAS) requires entry of five predictor variables (the other three variables of the eight-variable model are automatically obtained from the electronic health record or a table look-up), provides patient risk estimates compared to national averages, is integrated into the electronic health record, and provides a graphical handout of risks for patients. The accuracy of the SURPAS tool was compared to that of the American College of Surgeons Surgical Risk Calculator (ACS-SRC). MethodsPredicted risk of postoperative mortality and morbidity was calculated using both SURPAS and ACS-SRC for 1,006 randomly selected 2007–2016 ACS National Surgical Quality Improvement Program (NSQIP) patients with known outcomes. C-indexes, Hosmer-Lemeshow graphs, and Brier scores were compared between SURPAS and ACS-SRC. ResultsACS-SRC risk estimates for overall morbidity underestimated risk compared to observed postoperative overall morbidity, particularly for the highest risk patients. SURPAS accurately estimates morbidity risk compared to observed morbidity. ConclusionsSURPAS risk predictions were more accurate than ACS-SRC's for overall morbidity, particularly for high risk patients. SummaryThe accuracy of the SURPAS tool was compared to that of the American College of Surgeons Surgical Risk Calculator (ACS-SRC). SURPAS risk predictions were more accurate than those of the ACS-SRC for overall morbidity, particularly for high risk patients.

Cardiovascular Risk Scores to Predict Perioperative Stroke in Noncardiac Surgery.

Background and Purpose- Perioperative stroke is associated with significant morbidity and mortality. Conventional cardiovascular risk scores have not been compared to predict acute stroke after noncardiac surgery. Methods- Patients undergoing noncardiac surgery between 2009 and 2010 were identified from the US National Surgical Quality Improvement Program (n=540 717). Patients were prospectively followed for 30 days postoperatively for the primary outcome of stroke. Established cardiovascular and perioperative risk scores (CHADS2, CHA2DS2-VASc, Revised Cardiac Risk Index, Mashour et al risk score, Myocardial Infarction or Cardiac Arrest risk score, and National Quality Improvement Project American College of Surgeons surgical risk calculator) were assessed to predict perioperative stroke. Results- Stroke occurred in the perioperative period of 1474 noncardiac surgeries (0.27%). Patients with perioperative stroke were older, more frequently male, had lower body mass index, and were more likely to have undergone vascular surgery or neurosurgery than patients without stroke (P<0.001 for each comparison). All risk prediction models were associated with increased risk of perioperative stroke (C statistic [AUC] range, 0.743-0.836). The Myocardial Infarction or Cardiac Arrest risk score (AUC, 0.833) and American College of Surgeons surgical risk calculator (AUC, 0.836) had the most favorable test characteristics and a greater ability to discriminate perioperative stroke when compared with Revised Cardiac Risk Index, CHADS2, CHA2DS2-VASc, and Mashour risk scores (P for comparison, <0.001; Delong). Risk scores did not provide consistent discriminative ability across surgery types and were least predictive in vascular surgery (AUC range, 0.588-0.672). Conclusions- The Myocardial Infarction or Cardiac Arrest risk score and American College of Surgeons surgical risk calculator surgical risk scores provide excellent risk discrimination for perioperative stroke in most patients undergoing noncardiac surgery. Stroke prediction was less optimal in patients undergoing vascular surgery.

Clinical Utility of the American College of Surgeons Surgical Risk Calculator

Clinical Utility of the American College of Surgeons Surgical Risk Calculator

First Do No Harm: Predicting Surgical Morbidity During Humanitarian Medical Missions.

Despite good intentions, humanitarian surgical missions are unavoidably linked to some degree of complication. We hypothesized that the American College of Surgeons Surgical Risk Calculator (ACS-SRC) could estimate the risk of complications of procedures performed during the US Navy's Pacific Partnership 2015 (PP15) mission. Patient information and surgical details recorded during PP15 were entered into the ACS-SRC. Risks of complications for each procedure were calculated. Receiver operating characteristics and Brier scores were calculated to compare the predicted outcomes to the observed complications. Of the 174 unique procedures performed during PP15 (representing 465 patients), 99 were found in the ACS-SRC (representing 256 patients). Risk calculations for PP15 were: 1.5% risk (IQR 0.9, 2.4) of "serious" complications and 2.0% risk (IQR 1.3, 2.8) of "any" complication. ACS-SRC specific risks were calculated as follows: pneumonia 0.1%, cardiac 0.0%, surgical site infection (SSI) 0.6%, urinary tract infection 0.2%, venous thromboembolism 0.1%, renal failure 0.0%, OR return 0.9%, and death 0.0%. The only specific ACS-SRC complication observed was "OR return" (0.35%) and SSI (0.35%). The observed PP15 rates for "serious" or "any" complications (ACS-SRC definition) were 0.70% (2/285) each. Receiver operating characteristics for ACS-SRC for predicting "serious" or "any" complication were 0.743 (p = 0.118) and 0.654 (p = 0.227), respectively. Although the ACS-SRC over-predicted risk compared to observed outcomes, it may offer a good starting point for humanitarian surgery risk calculation. Observed outcomes may be limited by loss-to-follow-up bias. Emphasis should be placed on establishing patient follow-up as part of humanitarian surgical mission planning and execution.

Estimating Surgical Risk for Patients With Severe Comorbidities

This study assesses whether estimates from the new American College of Surgeons Surgical Risk Calculator more closely match residents’ estimations of risk and determines outcomes of similar patients in the National Surgical Quality Improvement Project.

Developing and validating a center-specific preoperative prediction calculator for risk of pancreaticoduodenectomy

BackgroundThe American College of Surgeons (ACS) Surgical Risk Calculator predicts postoperative risk based on preoperative variables. The ACS model was compared to an institution-specific risk calculator for pancreaticoduodenectomy (PD). MethodsObserved outcomes were compared with those predicted by the ACS and institutional models. Receiver operating characteristic (ROC) analysis evaluated the models' predictive ability. Institutional models were evaluated with retrospective and prospective internal validation. ResultsBrier scores indicate equivalent aggregate predictive ability. ROC values for the institutional model (ROC: 0.675–0.881, P < 0.01) indicate superior individual event occurrence prediction (ACS ROC: 0.404–0.749, P < 0.01–0.860). Institutional models' accuracy was upheld in retrospective (ROC: 0.765–0.912) and prospective (ROC: 0.882–0.974) internal validation. ConclusionsIdentifying higher-risk patients allows for individualized care. While ACS and institutional models accurately predict average complication occurrence, the institutional models are superior at predicting individualized outcomes. Predictive metrics specific to PD center volume may more accurately predict outcomes.

Risk of major complications following thyroidectomy and parathyroidectomy: Utility of the NSQIP surgical risk calculator

BackgroundThe primary objective of this study was to determine rates of reoperation, ED visits, and hospital readmission after thyroid and parathyroid surgery at a tertiary hospital. A secondary objective was to determine if scores from the American College of Surgeons Surgical Risk Calculator (ACS SRC) predicted these events. MethodsWe retrospectively reviewed the records of patients undergoing parathyroid and thyroid surgery between 2011 and 2014. Patients who underwent an unplanned reoperation, returned to the ED, or were readmitted to hospital were evaluated using the ACS SRC. Results436 patients underwent thyroid and parathyroid operations. Rates of re-operations, ED visits and hospital readmissions after thyroid and parathyroid surgery were: 3.4%, 0.6% and 3.0% and 2.2%, 0% and 1.4%, respectively. 71% of patients who experienced post-operative complications scored below average on the ACS SRC, 17% scored above average and 12% scored average risk. ConclusionsThe SRC did not predict re-operation, ED visits, or hospital readmission after thyroid or parathyroid operations.

Self-Reported Function More Informative than Frailty Phenotype in Predicting Adverse Postoperative Course in Older Adults.

Current preoperative assessment tools such as the American College of Surgeons Surgical Risk Calculator (ACS Calculator) are suboptimal for evaluating older adults. The objective was to evaluate and compare the performance of the ACS Calculator for predicting risk of serious postoperative complications with the addition of self-reported physical function versus a frailty score. Prospective cohort. Two tertiary care academic medical centers in Massachusetts. Individuals aged 65 and older undergoing any surgery with a risk of serious complication of 5% or greater (N = 403). We measured self-reported physical function using the Late-Life Function and Disability Instrument (LLFDI FUNCTION) and frailty phenotype (FP), which has a score ranging from 0 to 5 based on slow gait speed, weak handgrip, exhaustion, weight loss, or low activity. Using c-statistic and net classification improvement (NRI), we then analyzed capability of LLFDI-FUNCTION versus FP to improve the ACS Calculator for predicting an adverse postoperative course (serious complication, discharge to nursing home, readmission, death within 30 days of surgery). Increase in c-statistic and net reclassification improvement (NRI) for LLFDI-FUNCTION versus FP in addition to the ACS Calculator for predicting an adverse postoperative course (serious complication, discharge to nursing home, readmission, death within 30 days of surgery) RESULTS: Over 30 days, 26% of participants developed an adverse postoperative course. The increase in c-statistic for the ACS Calculator (baseline value 0.645) was slightly greater with LLFDI-FUNCTION (0.076) than with FP (0.058), with a bootstrapped difference in c-statistic of 0.005 (95% confidence interval = 0.002-0.007). NRI was also better with LLFDI-FUNCTION. The LLFDI-FUNCTION predicted postoperative complications slightly better than the FP. Further studies are needed to confirm these findings and validate the use of the LLFDI-FUNCTION with the ACS Calculator for preoperative assessments of older adults.