Rates of Serious Complications Estimated by the ACS-NSQIP Surgical Risk Calculator in Predicting Oncologic Outcomes of Patients Treated with Pancreaticoduodenectomy for Pancreatic Head Cancer

Choi, Munseok; Kang, Chang Moo; Chong, Jae Uk; Hwang, Ho Kyoung; Yoon, Dong Sup; Lee, Woo Jung

doi:10.1007/s11605-018-4041-1

Cited by 7 publications

(7 citation statements)

References 29 publications

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“…[ 12 ] ACS NSQIP tool has been tested with variable results in different surgical specialties including colorectal, pancreatic, reconstruction, gynecological, orthopedics, urologic and neurosurgical operations. [ 13 14 15 16 17 18 19 ] Dahlke et al . [ 20 ] showed favorable predictive accuracy of the tool in general and colon surgery group of patients.…”

Section: Discussionmentioning

confidence: 99%

Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population?

et al. 2022

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Background: Various scoring systems help in classifying the patient's risk preoperatively and hence to decide the best available treatment option. ACS-NSQIP score has been introduced in clinical practice for few years. This study was done to find out whether there is any difference between predicted mortality from ACS-NSQIP score and observed mortality in Saudi population. Methods: This prospective observational study was conducted at Security Forces Hospital, Riyadh, Kingdom of Saudi Arabia. We included patients undergoing elective and emergency surgical procedures in our hospital. Thirty days mortality data was collected and then observed to expected (O/E) mortality ratio was calculated. The sample size for our study was nine hundred and three (903) patients. Results: The mean ACS-NSQIP mortality risk score (%) for the study was 0.49. Expected number of mortalities was 4.42 while observed mortalities were 11, yielding an O/E ratio of 2.48 (p-value 0.000). We did not find a significant difference between expected and observed mortalities except for ASA class 3 and 4 patients where expected numbers of mortalities were lower than observed (p-value < 0.05). Conclusion: ACS-NSQIP can be reliably used for postoperative mortality prediction especially in lower risk groups.

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Section: Discussionmentioning

confidence: 99%

Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population?

et al. 2022

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“…In 2014, Dahlke et al reported that the ACS-SRC demonstrated good predictive power for patients undergoing general and colorectal surgery. 22 Similarly, the ACS-SRC has been shown to effectively predict postoperative complications after pancreaticoduodenectomy procedures for pancreatic head cancer 23,24 and urgent GI surgery. 25 However, recent studies have reported limited predictive power of the ACS-SRC in other types of surgery.…”

Section: Discussionmentioning

confidence: 99%

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

Asmar

Hafez

Fauconnier

et al. 2022

Journal of Surgical Oncology

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Background 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. Methods 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). Results 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. Conclusion 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.

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“…While NSQIP-SRC has been validated across multiple surgical populations including colorectal, orthopedic, neurosurgery, hepatobiliary, and emergency general surgery, [38][39][40][41] to our knowledge, this is the first study validating the NSQIP-SRC for elderly trauma patients undergoing surgery. Given the positive results for improved risk prediction, widespread validation of NSQIP-SRC for both operative and nonoperative elderly trauma patients is warranted.…”

Section: Discussionmentioning

confidence: 99%

Comparison of National Surgical Quality Improvement Program Surgical Risk Calculator, Trauma and Injury Severity Score, and American Society of Anesthesiologists Physical Status to predict operative trauma mortality in elderly patients

Stopenski¹,

Kuza²,

Luo³

et al. 2021

J Trauma Acute Care Surg

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BACKGROUND:The Trauma and Injury Severity Score (TRISS) uses anatomical and physiologic variables to predict mortality. Elderly (65 years or older) trauma patients have increased mortality and morbidity for a given TRISS, in part because of functional status and comorbidities. These factors are incorporated into the American Society of Anesthesiologists Physical Status (ASA-PS) and National Surgical Quality Improvement Program Surgical Risk Calculator (NSQIP-SRC). We hypothesized scoring tools using comorbidities and functional status to be superior at predicting mortality, hospital length of stay (LOS), and complications in elderly trauma patients undergoing operation. METHODS:Four level I trauma centers prospectively collected data on elderly trauma patients undergoing surgery within 24 hours of admission. Using logistic regression, five scoring models were compared: ASA-PS, NSQIP-SRC, TRISS, TRISS-ASA-PS, and TRISS-NSQIP-SRC.Brier scores and area under the receiver operator characteristics curve were calculated to compare mortality prediction. Adjusted R 2 and root mean squared error were used to compare LOS and predictive ability for number of complications. RESULTS:From 122 subjects, 9 (7.4%) died, and the average LOS was 12.9 days (range, 1-110 days). National Surgical Quality Improvement Program Surgical Risk Calculator was superior to ASA-PS and TRISS at predicting mortality (area under the receiver operator characteristics curve, 0.978 vs. 0.768 vs. 0.903; p = 0.007). Furthermore, NSQIP-SRC was more accurate predicting LOS (R 2 , 25.9% vs. 13.3% vs. 20.5%) and complications (R 2 , 34.0% vs. 22.6% vs. 29.4%) compared with TRISS and ASA-PS. Adding TRISS to NSQIP-SRC improved predictive ability compared with NSQIP-SRC alone for complications (R 2 , 35.5% vs. 34.0%; p = 0.046). However, adding ASA-PS or TRISS to NSQIP-SRC did not improve the predictive ability for mortality or LOS. CONCLUSION:The NSQIP-SRC, which includes comorbidities and functional status, had superior ability to predict mortality, LOS, and complications compared with TRISS alone in elderly trauma patients undergoing surgery.

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Rates of Serious Complications Estimated by the ACS-NSQIP Surgical Risk Calculator in Predicting Oncologic Outcomes of Patients Treated with Pancreaticoduodenectomy for Pancreatic Head Cancer

Cited by 7 publications

References 29 publications

Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population?

Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population?

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

Comparison of National Surgical Quality Improvement Program Surgical Risk Calculator, Trauma and Injury Severity Score, and American Society of Anesthesiologists Physical Status to predict operative trauma mortality in elderly patients

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