Limitations of ACS-NSQIP in reporting complications for patients undergoing pancreatectomy: underscoring the need for a pancreas-specific module

Trends of Autologous Free-Flap Breast Reconstruction and Safety during the Coronavirus Disease 2019 Pandemic

BACKGROUND

 Autologous free-flap breast reconstruction (ABR) is a valuable surgical option for patients following mastectomy. The coronavirus disease 2019 (COVID-19) pandemic has led to a myriad of factors that have affected access to care, hospital logistics, and postoperative outcomes. This study aims to identify differences in patient selection, hospital course and severity, and postoperative outcomes for patients who underwent ABR during and prior to the COVID-19 pandemic.

METHODS

 Patients undergoing ABR from the American College of Surgeons National Surgical Quality Improvement Program 2019 to 2020 database were analyzed to compare sociodemographics, hospital course, and outcomes over the first postoperative month. Multivariable logistic regression was used to identify factors predictive of complications based on the operative year.

RESULTS

 In total, 3,770 breast free flaps were stratified into two groups based on the timing of reconstruction (prepandemic and pandemic groups). Patients with a diagnosis of disseminated cancer were significantly less likely to undergo ABR during the COVID-19 pandemic. On univariate analysis, there were no significant differences in postoperative complications between the two groups. When controlling for potentially confounding sociodemographic and clinical risk factors, the COVID-19 group was significantly more likely to undergo reoperation compared with the prepandemic group (p < 0.05).

CONCLUSION

 When comparing outcomes for patients who underwent ABR prior to and during the COVID-19 pandemic, we found a significant increase in the odds of reoperation for those who had ABR during the pandemic. Debridement procedures and exploration for postoperative hemorrhage, thrombosis, or infection increased in the prepandemic group compared to the COVID-19 group. Notably, operative times decreased.

Validation of the self-reported domains of the Edmonton Frail Scale in patients 65 years of age and older

INTRODUCTION

In the era of virtual care, self-reported tools are beneficial for preoperative assessments and facilitating postoperative planning. We have previously reported the use of the Edmonton Frailty Scale (EFS) as a valid preoperative assessment tool.

OBJECTIVE

We wished to validate the self-reported domains of the EFS (srEFS) by examining its association with loss of independence (LOI) and mortality.

METHODS

This is a post-hoc analysis of a single-institution observational study of patients 65 years of age or older undergoing multi-specialty surgical procedures and assessed with the EFS in the preoperative setting. Exploratory data analysis was used to determine the threshold for identifying frailty using the srEFS. Procedures were classified using the Operative Stress Score (OSS) scored 1 to 5 (lowest to highest). Hierarchical Condition Category (HCC) was utilized to risk-adjust. LOI was described as requiring more support at discharge and mortality was defined as death occurring up to 30 days following surgery. Receiver operating characteristic (ROC) curves were used to determine the ability of the srEFS to predict the outcomes of interest in relation to the EFS.

RESULTS

Five hundred thirty-five patients were included. Exploratory analysis confirmed best positive predictive value for srEFS was greater or equal to 5. Overall, 113 (21 percent) patients were considered high risk for frailty (HRF) and 179 (33 percent) patients had an OSS greater or equal to 5. LOI occurred in 7 percent (38 patients) and the mortality rate was 4 percent (21 patients). ROC analysis showed that the srEFS performed similar to the standard EFS with no difference in discriminatory thresholds for predicting LOI and mortality. Examination of the domains of the EFS not included in the srEFS demonstrated a lack of association between cognitive decline and the outcomes of interest. However, functional status assessed with either the Get up and Go (EFS only) or self-reported ADLs was independently associated with increased risk for LOI.

CONCLUSION

This study shows that self-reported EFS may be an optional preoperative tool that can be used in the virtual setting to identify patients at HRF. Early identification of patients at risk for LOI and mortality provides an opportunity to implement targeted strategies to improve patient care.

Perioperative outcomes in minimally-invasive versus open surgery in infants undergoing repair of congenital anomalies

BACKGROUND

This study compared perioperative outcomes among infants undergoing repair of congenital anomalies using minimally invasive (MIS) versus open surgical approaches.

METHODS

The ACS NSQIP Pediatric (2013-2018) was queried for patients undergoing repair of any of the following 9 congenital anomalies: congenital lung lesion (LL), mediastinal mass (MM), congenital malrotation (CM), anorectal malformation (ARM), Hirschsprung disease (HD), congenital diaphragmatic hernia (CDH), tracheoesophageal fistula (TEF), hepatobiliary anomalies (HB), and intestinal atresia (IA). Inverse probability of treatment weights (IPTW) derived from propensity scores were utilized to estimate risk-adjusted association between surgical approach and 30-day outcomes.

RESULTS

12,871 patients undergoing congenital anomaly repair were included (10,343 open; 2528 MIS). After IPTW, MIS was associated with longer operative time (difference; 95% CI) (16 min; 9-23) and anesthesia time (13 min; 6-21), but less postoperative ventilation days (-1.0 days; -1.4- -0.6) and shorter postoperative length of stay (-1.4 days; -2.4- -0.3). MIS repairs had decreased risk of any surgical complication (risk difference: -6.6%; -9.2- -4.0), including hematologic complications (-7.3%; -8.9- -5.8). There was no significant difference in risk of complication when hematologic complications were excluded (RD -2.3% [-4.7%, 0.1%]). There were no significant differences in the risk of unplanned reoperation (0.4%; -1.5-2.2) or unplanned readmission (0.2%; -1.2-1.5).

CONCLUSIONS

MIS repair of congenital anomalies is associated with improved perioperative outcomes when compared to open. Additional studies are needed to compare long-term functional and disease-specific outcomes.

MINI-ABSTRACT

In this propensity-weighted multi-institutional analysis of nine congenital anomalies, minimally invasive surgical repair was associated with improved 30-day outcomes when compared to open surgical repair.

LEVEL OF EVIDENCE

III.

The physiology of failure: Identifying risk factors for mortality in emergency general surgery patients using a regional health system integrated electronic medical record

BACKGROUND

Emergency general surgery (EGS) patients have increased mortality risk compared with elective counterparts. Recent studies on risk factors have largely used national data sets limited to administrative data. Our aim was to examine risk factors in an integrated regional health system EGS database, including clinical and administrative data, hypothesizing that this novel process would identify clinical variables as important risk factors for mortality.

METHODS

Our nine-hospital health system's billing data were queried for EGS International Classification of Disease codes between 2013 and 2018. Codes were grouped by diagnosis, and urgent or emergent encounters were included and merged with electronic medical record clinical data. Outcomes assessed were inpatient and 1-year mortality. Standard and multivariable statistics evaluated factors associated with mortality.

RESULTS

There were 253,331 EGS admissions with 3.6% inpatient mortality rate. Patients who suffered inpatient and 1-year mortality were older, more likely to be underweight, and have neutropenia or elevated lactate. On multivariable analysis for inpatient mortality: age (odds ratio [OR], 1.7-6.7), underweight body mass index (OR, 1.6), transfer admission (OR, 1.8), leukopenia (OR, 2.0), elevated lactate (OR, 1.8), and ventilator requirement (OR, 7.1) remained associated with increased risk. Adjusted analysis for 1-year mortality demonstrated similar findings, with highest risk associated with older age (OR, 2.8-14.6), underweight body mass index (OR, 2.3), neutropenia (OR, 2.0), and tachycardia (OR, 1.7).

CONCLUSION

After controlling for patient and disease characteristics available in administrative databases, clinical variables remained significantly associated with mortality. This novel yet simple process allows for easy identification of clinical data points imperative to the study of EGS diagnoses that are critical in understanding factors that impact mortality.

LEVEL OF EVIDENCE

Prognostic and Epidemiologic; Level III.

Analysis of Readmissions and Reoperations in Pediatric Microvascular Reconstruction

BACKGROUND

 Free tissue transfer is utilized as a reconstructive option for various anatomic defects. While it has long been performed in adults, reconstructive surgeons have used free tissue transfer to a lesser degree in children. As such, there are few analyses of factors associated with complications in free tissue transfer within this population. The aim of this study is to assess factors associated with readmission and reoperation in pediatric free flap patients utilizing the pediatric National Surgical Quality Improvement Program database.

METHODS

 Pediatric patients who underwent microvascular reconstruction between 2015 and 2020 were included. Patients were identified by five microvascular reconstruction Current Procedural Terminology codes and were then stratified by flap site (head and neck, extremities, trunk) and defect etiology (congenital, trauma, infection, neoplasm). Multivariate logistic regression was performed to identify factors associated with readmissions and reoperations.

RESULTS

 The study cohort consisted of 258 patients. The average age was 10.0 ± 4.7 years and the majority of patients were male (n = 149, 57.8%), were of white race (n = 164, 63.6%), and had a normal body mass index. Twenty-two patients (8.5%) experienced an unplanned readmission within 30 days of the initial operation, most commonly for wound disruption (31.8% of readmissions). The overall rate of unplanned reoperation within 30 days was 11.6% (n = 30) for all patients, with an average of 8.9 ± 7.5 days to reoperation. On multivariate regression analysis, each hour increase in operative time was associated with an increased odds of reoperation (odds ratio [OR]: 1.27; 95% confidence interval [CI]: 1.12, 1.45) and readmission (OR: 1.16; 95% CI: 1.02, 1.34).

CONCLUSION

 In pediatric patients undergoing free tissue transfer, higher readmission and reoperation risk was associated with longer operative duration. Overall, free tissue transfer is safe in the pediatric population with relatively low rates of readmission and reoperation.

Look in the Mirror, Not Out the Window

Over the past few decades, institutions have developed complex systems to compare themselves to others with the goal of improving healthcare quality. This process of comparison to others, called external benchmarking, has become the standard approach for quality improvement. However, external benchmarking is resource intensive, may not be flexible enough to focus on problems unique to individual institutions, and may lead to complacency for institutions ranking near the top of the quality bell curve for the measured metrics. Our singular focus on external benchmarking could also divert resources from other approaches. Here, we describe how the use of internal benchmarking, in which an institution focuses on improving their own processes over time, can offer unique advantages as well as offset the limitations of external benchmarking. We advocate for investment in both internal and external benchmarking as complimentary tools to improve healthcare quality.

Mini-abstract: External benchmarking, the most common approach to benchmarking today, compares outcomes across a group to improve performance. This article discusses internal benchmarking, a complementary approach with several strengths—including reduced data burden, selection of tailored metrics, motivation to improve for all performers, and incentive to look inward for solutions.

A Case for the Use of the 5-Item Modified Frailty Index in Preoperative Risk Assessment for Tissue Expander Placement in Breast Reconstruction

BACKGROUND

Preoperative risk assessment is essential in determining which surgical candidates will have the most to gain from an operation. The 5-item modified frailty index (mFI-5) has been validated as an effective way to determine this risk. This study sought to evaluate the performance of the mFI-5 as a predictor of postoperative complications after tissue expander placement.

METHODS

Patients who underwent placement of a tissue expander were identified using the 2012 to 2018 American College of Surgeons National Surgical Quality Improvement Project database. Univariate and multivariate regression analysis models were used to assess how mFI-5, the components of the mFI-5 (functional status, diabetes, chronic obstructive pulmonary disease, chronic heart failure, and hypertension), and other factors commonly used to risk stratify (age, body mass index [BMI], American Society of Anesthesiologists (ASA) classification, and history of smoking) were associated with complications.

RESULTS

In 44,728 tissue expander placement cases, the overall complication rate was 10.5% (n = 4674). The mFI-5 score was significantly higher in the group that experienced complications (0.08 vs 0.06, P < 0.001). Compared with the mFI-5 individual components and other common variables used preoperatively to risk stratify patients, univariate analysis demonstrated that mFI-5 had the largest effect size (odds ratio [OR], 5.46; confidence interval [CI], 4.29-6.94; P < 0.001). After controlling for age, BMI, ASA classification, and history of smoking, the mFI-5 still remained the predictor of complications with the largest effect size (OR, 2.25; CI, 1.70-2.97; P < 0.001). In assessing specific complications, the mFI-5 is the independent predictor with the largest significant effect size for surgical dehiscence (OR, 12.76; CI, 5.58-28.18; P < 0.001), surgical site infection (OR, 6.68; CI, 4.53-9.78; P < 0.001), reoperation (OR, 5.23; CI, 3.90-6.99; P < 0.001), and readmission (OR, 4.59; CI, 3.25-6.45; P < 0.001) when compared with age, BMI, ASA class, and/or history of smoking alone.

CONCLUSIONS

The mFI-5 can be used as an effective preoperative predictor of postoperative complications in patients undergoing tissue expander placement. Not only does it have the largest effect size compared with other historical perioperative risk factors, it is more predictive than each of its individual components.

An Analysis of the Modified Five-Item Frailty Index for Predicting Complications following Free Flap Breast Reconstruction

BACKGROUND

The modified five-item frailty index is a validated and effective tool for assessing risk in surgical candidates. The authors sought to compare the predictive ability of the modified five-item frailty index to established risk factors for complications in free flap breast reconstruction.

METHODS

The 2012 to 2018 American College of Surgeons National Surgical Quality Improvement Program database was queried for free flap breast reconstructive procedures. Univariate and multivariate regression analysis models were used to assess how modified five-item frailty index and factors commonly used to risk stratify (age, body mass index, American Society of Anesthesiologists classification, and history of smoking) were associated with complications.

RESULTS

Of the total 10,550 cases, 24.1 percent experienced complications. A high modified five-item frailty index score is associated with a higher overall rate of postoperative complications (p < 0.001). This significant trend was demonstrated in both surgical (p < 0.001) and medical (p < 0.001) complications. When controlling for other risk factors commonly used for risk stratification such as age, body mass index, American Society of Anesthesiologists classification, and history of smoking, the modified five-item frailty index was significantly associated with medical (OR, 1.75; 95 percent CI, 1.37 to 2.22; p = 0.001) and any complications (OR, 1.58; 95 percent CI, 1.29 to 1.93; p < 0.001) and had the largest effect size. Assessing for specific complications, the modified five-item frailty index is the strongest independent predictor of reoperation (OR, 1.41; 95 percent CI, 1.08 to 1.81; p = 0.009).

CONCLUSION

The modified five-item frailty index is a useful predictor of postoperative outcomes in patients undergoing free flap breast reconstruction when compared to other historically considered risk factors for surgical complications.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Risk, III.

National Trends in Length of Stay for Microvascular Breast Reconstruction: An Evaluation of 10,465 Cases Using the American College of Surgeons National Surgical Quality Improvement Program Database

BACKGROUND

Decreasing length of stay benefits patients and hospital systems alike. This should be accomplished safely without negatively impacting patient outcomes. The authors hypothesize that in the United States, the average length of stay for patients undergoing microsurgical breast reconstruction has decreased since 2012 without a concurrent increase in complication and readmission rates.

METHODS

The authors identified female patients who underwent microvascular breast reconstruction (CPT 19364) from the 2012 to 2018 National Surgical Quality Improvement Program database. Trends in complication and readmission rates and length of stay were examined over 7 years. Multivariable logistic regression models and Mann-Kendall trend tests were used to evaluate associations between length of stay and complication and readmission rates.

RESULTS

A total of 10,465 cases were identified. The number of autologous microvascular breast reconstruction procedures performed increased annually between 2012 and 2018. Length of stay decreased significantly from 2012 to 2018 (from 4.47 days to 3.90 days) (p < 0.01). Minor and major complication rates remained constant, although major complications showed a decreasing trend (from 27 percent to 21 percent) (p = 0.07). Thirty-day readmission, surgical-site infection, and wound dehiscence rates remained consistent over the study period, whereas rates of blood transfusion or bleeding decreased (p = 0.02).

CONCLUSIONS

Using a national sample from 2012 to 2018, the authors observed a significant decrease in length of stay for patients undergoing microvascular breast reconstruction without a concurrent increase in complication and readmission rates. Current efforts to reduce length of stay have been successful without increasing complication or readmission rates.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Risk, III.

Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning

OBJECTIVES

Accurately stratifying patients in the preoperative period according to mortality risk informs treatment considerations and guides adjustments to bundled reimbursements. We developed and compared three machine learning models to determine which best predicts 30-day mortality after hip fracture.

METHODS

The 2016 to 2017 National Surgical Quality Improvement Program for hip fracture (AO/OTA 31-A-B-C) procedure-targeted data were analyzed. Three models-artificial neural network, naive Bayes, and logistic regression-were trained and tested using independent variables selected via backward variable selection. The data were split into 80% training and 20% test sets. Predictive accuracy between models was evaluated using area under the curve receiver operating characteristics. Odds ratios were determined using multivariate logistic regression with P < 0.05 for significance.

RESULTS

The study cohort included 19,835 patients (69.3% women). The 30-day mortality rate was 5.3%. In total, 47 independent patient variables were identified to train the testing models. Area under the curve receiver operating characteristics for 30-day mortality was highest for artificial neural network (0.92), followed by the logistic regression (0.87) and naive Bayes models (0.83).

DISCUSSION

Machine learning is an emerging approach to develop accurate risk calculators that account for the weighted interactions between variables. In this study, we developed and tested a neural network model that was highly accurate for predicting 30-day mortality after hip fracture. This was superior to the naive Bayes and logistic regression models. The role of machine learning models to predict orthopaedic outcomes merits further development and prospective validation but shows strong promise for positively impacting patient care.

Elective surgery resource utilization

Purpose

Cessation of elective surgery during COVID-19 was partly driven by concern for consumption of hospital resources required by critically ill patients. We aim to determine the extent of resource utilization by elective outpatient surgery to assist in ensuring future resource conservation decisions are data driven.

Methods

The study utilized a retrospective cohort gathered from the American College of Surgeons National Surgical Quality Improvement Program database. Participants were adult patients who underwent elective or non-elective surgery between 2017 and 2018. Outcomes included patient characteristics and post-operative outcomes for elective and non-elective surgeries. Post-operative outcomes were used as a surrogate for the consumption of hospital resources.

Results

A total of 1,558,938 (79.8%) elective and 393,339 (20.2%) non-elective surgeries were identified. Elective surgery patients were more likely to be outpatient status, have an ASA class < 3, and exhibited lower rates of prolonged ventilation, 30-day reoperation, and 30-day readmissions, and averaged 5 days less of inpatient stay. Elective outpatient surgery (vs. elective inpatient surgery) averaged shorter operative times and exhibited lower rates of readmissions (2.1% vs. 5.5%; p < 0.001), reoperations (1.1% vs. 2.8%; p < 0.001), prolonged ventilation (0.0% vs. 0.3%; p < 0.001), and 30-day mortality (0.1% vs. 0.5%; p < 0.001) and accounted for 30.2% of the overall relative value units ($339,815,038).

Conclusion

We evaluated utilization of hospital resources by patients undergoing elective outpatient surgery by identifying surgeries performed in 2017–2018 then stratifying them by outpatient status. Elective outpatient surgeries consumed negligible amounts of hospital resources and should not be considered a threat to resources in the setting of high demand by critically ill COVID-19 patients.

Multi-ligament reconstructions as a risk factor for adverse outcomes in arthroscopic surgery

PURPOSE

Multi-ligament knee injuries are a serious consequence of knee dislocation with a poorly evaluated post-operative complication profile due to low incidence. The aim of this study is to assess the risk of adverse post-operative events associated with operative management of multi-ligament knee injuries.

METHODS

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was used to identify patients undergoing surgical procedures for multi-ligament knee injuries from 2006 to 2016 using Current Procedural Terminology codes. We evaluated data on patient demographics and used a propensity score algorithm to adjust for baseline differences in these patients and developed univariate and multivariate logistic regression models to assess effects on minor and severe 30-day post-operative complications.

RESULTS

We identified 444 patients in this database who underwent multi-ligament knee reconstructions between 2006 and 2016. After propensity matching, minor and major adverse post-operative events were more frequent in patients with multi-ligament knee injuries (1.4% vs 0.2%, p < 0.001 and 2.7% vs 1.1%, p = 0.002, respectively). Patients with multi-ligament knee injuries experienced a 55-fold increase risk of need for transfusion (p < 0.001) and a fivefold increased risk of pulmonary embolism (p = 0.025), with most occurring in bicruciate reconstructions (Schenck Classification KD-III and KD-IV injuries).

CONCLUSION

The surgical management of multi-ligament knee injuries confers significant increased risk of 30-day post-operative minor or severe adverse event over arthroscopic ACL reconstruction. These patients are most at risk for post-operative blood transfusion requirement, and pulmonary embolism, with patient's undergoing surgery for bicruciate ligament injuries at particularly high risk of complication.

LEVEL OF EVIDENCE

IV.

Natural Language Processing in Surgery: A Systematic Review and Meta-analysis

OBJECTIVE

The aim of this study was to systematically assess the application and potential benefits of natural language processing (NLP) in surgical outcomes research.

SUMMARY BACKGROUND DATA

Widespread implementation of electronic health records (EHRs) has generated a massive patient data source. Traditional methods of data capture, such as billing codes and/or manual review of free-text narratives in EHRs, are highly labor-intensive, costly, subjective, and potentially prone to bias.

METHODS

A literature search of PubMed, MEDLINE, Web of Science, and Embase identified all articles published starting in 2000 that used NLP models to assess perioperative surgical outcomes. Evaluation metrics of NLP systems were assessed by means of pooled analysis and meta-analysis. Qualitative synthesis was carried out to assess the results and risk of bias on outcomes.

RESULTS

The present study included 29 articles, with over half (n = 15) published after 2018. The most common outcome identified using NLP was postoperative complications (n = 14). Compared to traditional non-NLP models, NLP models identified postoperative complications with higher sensitivity [0.92 (0.87-0.95) vs 0.58 (0.33-0.79), P < 0.001]. The specificities were comparable at 0.99 (0.96-1.00) and 0.98 (0.95-0.99), respectively. Using summary of likelihood ratio matrices, traditional non-NLP models have clinical utility for confirming documentation of outcomes/diagnoses, whereas NLP models may be reliably utilized for both confirming and ruling out documentation of outcomes/diagnoses.

CONCLUSIONS

NLP usage to extract a range of surgical outcomes, particularly postoperative complications, is accelerating across disciplines and areas of clinical outcomes research. NLP and traditional non-NLP approaches demonstrate similar performance measures, but NLP is superior in ruling out documentation of surgical outcomes.

The 5-Factor Modified Frailty Index as a Predictor of 30-day Complications in Pressure Ulcer Repair

BACKGROUND

The 5-item modified frailty index (mFI-5) is a validated tool to assess postoperative risks in older surgical candidates. We sought to compare the predictive ability of mFI-5 to its individual components and other established risk factors for complications in flap reconstruction of late-stage pressure ulcer repair.

METHODS

The 2012 to 2018 American College of Surgeons National Surgical Quality Improvement Project (ACS-NSQIP) database was queried for pressure ulcer diagnosis and reconstructive flap repair procedures. Univariate and multivariate regression analysis models were used to assess how mFI-5, the components of the mFI-5 (functional status before surgery, diabetes, history of chronic obstructive pulmonary disease, history of congestive heart failure, and history of hypertension requiring medicine), and other factors commonly used to risk-stratify (age, obesity, ASA classification, and history of smoking) were associated with complications.

RESULTS

35.1% of the total 1254 flap reconstructive procedures for pressure ulcer repair experienced complications. Most cases had at least one of the five mFI-5 factors in both the complication (42.7%) and no complication (45.7%) cohorts. Compared with the factors making up the mFI-5 score and other common variables used to risk-stratify, mFI-5 was significantly associated with complications in the univariate (OR 1.17, CI 1.03 - 1.33; P = 0.02) and multivariate analysis (OR 1.16, CI 1.02 - 1.34; P = 0.043).

CONCLUSIONS

The mFI-5 is a useful predictor of postoperative outcomes in patients undergoing reconstructive flap surgery for pressure ulcer injuries compared to other historically considered risk factors for surgical complications.

Risk-adjustment models in patients undergoing head and neck surgery with reconstruction

BACKGROUND

With the current focus on value-based outcomes and reimbursement models, perioperative risk adjustment is essential. Specialty surgical outcomes are not well predicted by the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP); the Head and Neck-Reconstructive Surgery NSQIP was created as a specialty-specific platform for patients undergoing head and neck surgery with flap reconstruction. This study aims to investigate risk prediction models in these patients.

METHODS

The Head and Neck-Reconstructive Surgery NSQIP collected data on patients undergoing head and neck surgery with flap reconstruction from August 1, 2012 to October 20, 2016. Multivariable logistic regression models were created for 9 outcomes (postoperative ventilator dependence, pneumonia, superficial recipient surgical site infection, presence of tracheostomy/nasoenteric (NE)/gastrostomy/gastrojejunostomy(G/GJ) tube 30 days postoperatively, conversion from NE to G/GJ tube, unplanned return to the operating room, length of stay > 7 days). External validation was completed with a more contemporary cohort.

RESULTS

A total of 1095 patients were included in the modelling cohort and 407 in the validation cohort. Models performed well predicting tracheostomy, NE, G/GJ tube presence at 30 days postoperatively and conversion from NE to G/GJ tube (c-indices = 0.75-0.91). Models for postoperative pneumonia, superficial recipient surgical site infection, ventilator dependence > 48 h, and length of stay > 7 days were fair (concordance [c]-indices = 0.63-0.69). The predictive model for unplanned return to the operating room was poor (c-index = 0.58).

CONCLUSIONS AND RELEVANCE

Reliable and discriminant risk prediction models were able to be created for postoperative outcomes using the specialty-specific Head and Neck-Reconstructive Surgery Specific NSQIP.

Critical evaluation of quality of hepatopancreatic surgery in a medium-volume center in Finland using the Accordion Severity Grading System and the Postoperative Morbidity Index

Background

Hepatopancreatobiliary surgery is prone to complications. Methods are needed to monitor surgical outcomes and enable comparison between institutions.

Methods

Complications were collected prospectively and reviewed using the modified Accordion Severity Grading System (MASGS) and the Postoperative Morbidity Index (PMI).

Results

This study included 527 consecutive patients receiving either pancreatic or liver resection in 2000-2017 in Central Finland Central Hospital. The PMI was 0.177 for all patients, and 0.192, 0.094, 0.285, and 0.129 for patients receiving major pancreatic (n=218), minor pancreatic (n=93), major liver (n=73), and minor liver (n=143) resection, respectively. The rates of postoperative pancreatic fistula (POPF) after pancreaticoduodenectomies (n=200) were 6.5% for grade B and 5.5% for grade C; rates for biliary leak were 1.0% (grade A), 2.5% (grade B), and 0.5% (grade C). Similarly, the rates for delayed gastric emptying (DGE) were 2.8% (grade A), 15.6% (grade B), and 3.7% (grade C). Postoperative hepatic dysfunction occurred in 2.3%, major surgical site bleeding in 2.3%, and biloma in 7.9% of patients after liver resection. Ninety-day mortality rates were 3.7% and 1.1% in major and minor pancreatic resections, and 8.2% and 0.7% in major and minor liver resections. Major complications occurred in 13.3% and 3.3% in pancreatic, and 19.2% and 6.3% in liver resections, respectively.

Conclusions

Major pancreatic and hepatic surgery are associated with significant morbidity and burden in our center, comparable with previous population-based studies. PMI is an informative way to monitor surgical outcomes and enable comparison between institutions.

Development of a multi-institutional registry for children with operative congenital lung malformations

INTRODUCTION

The purpose of this study was to develop a multi-institutional registry to characterize the demographics, management, and outcomes of a contemporary cohort of children undergoing congenital lung malformation (CLM) resection.

METHODS

After central reliance IRB approval, a web-based, secure database was created to capture retrospective cohort data on pathologically-confirmed CLMs performed between 2009 and 2015 within a multi-institutional research collaborative.

RESULTS

Eleven children's hospitals contributed 506 patients. Among 344 prenatally diagnosed lesions, the congenital pulmonary airway malformation volume ratio was measured in 49.1%, and fetal MRI was performed in 34.3%. One hundred thirty-four (26.7%) children had respiratory symptoms at birth. Fifty-eight (11.6%) underwent neonatal resection, 322 (64.1%) had surgery at 1-12 months, and 122 (24.3%) had operations after 12 months. The median age at resection was 6.7 months (interquartile range, 3.6-11.4). Among 230 elective lobectomies performed in asymptomatic patients, thoracoscopy was successfully utilized in 102 (44.3%), but there was substantial variation across centers. The most common lesions were congenital pulmonary airway malformation (n = 234, 47.3%) and intralobar bronchopulmonary sequestration (n = 106, 21.4%).

CONCLUSION

This multicenter cohort study on operative CLMs highlights marked disease heterogeneity and substantial practice variation in preoperative evaluation and operative management. Future registry studies are planned to help establish evidence-based guidelines to optimize the care of these patients.

LEVEL OF EVIDENCE

Level II.

Clinically Meaningful Laboratory Protocols Reduce Hospital Charges Based on Institutional and ACS-NSQIP® Risk Calculators in Hepatopancreatobiliary Surgery

Postoperative laboratory testing is an underrecognized but substantial contributor to health-care costs. We aimed to develop and validate a clinically meaningful laboratory (CML) protocol with individual risk stratification using generalizable and institution-specific predictive analytics to reduce laboratory testing and maximize cost savings for low-risk patients. An institutionally based risk model was developed for pancreaticoduodenectomy and hepatectomy, and an ACS-NSQIP®–based model was developed for distal pancreatectomy. Patients were stratified in each model to the CML by individual risk of major complications, readmission, or death. Clinical outcomes and estimated cost savings were compared with those of a historical cohort with standard of care. Over 34 months, 394 patients stratified to the CML for pancreaticoduodenectomy or hepatectomy saved an estimated $803,391 (44.4%). Over 13 months, 52 patients stratified to the CML for distal pancreatectomy saved an estimated $81,259 (30.5%). Clinical outcomes for 30-day major complications, readmission, and mortality were unchanged after implementation of either model. Predictive analytics can target low-risk patients to reduce laboratory testing and improve cost savings, regardless of whether an institutional or a generalized risk model is implemented. Broader application is important in patient-centered health care and should transition from predictive to prescriptive analytics to guide individual care in real time.

Summary perioperative risk metrics within the electronic medical record predict patient-level cost variation in pancreaticoduodenectomy

BACKGROUND

Automated data extraction from the electronic medical record is fast, scalable, and inexpensive compared with manual abstraction. However, concerns regarding data quality and control for underlying patient variation when performing retrospective analyses exist. This study assesses the ability of summary electronic medical record metrics to control for patient-level variation in cost outcomes in pancreaticoduodenectomy.

METHODS

Patients that underwent pancreaticoduodenectomy from 2014 to 2018 at a single institution were identified within the electronic medical record and linked with the National Surgical Quality Improvement Program. Variables in both data sets were compared using interrater reliability. Logistic and linear regression modelling of complications and costs were performed using combinations of comorbidities/summary metrics. Models were compared using the adjusted R² and Akaike information criterion.

RESULTS

A total of 117 patients populated the final data set. A total of 31 (26.5%) patients experienced a complication identified by the National Surgical Quality Improvement Program. The median direct variable cost for the encounter was US$14,314. Agreement between variables present in the electronic medical record and the National Surgical Quality Improvement Program was excellent. Stepwise linear regression models of costs, using only electronic medical record-extractable variables, were non-inferior to those created with manually abstracted individual comorbidities (R² = 0.67 vs 0.30, Akaike information criterion 2,095 vs 2,216). Model performance statistics were minimally impacted by the addition of comorbidities to models containing electronic medical record summary metrics (R² = 0.67 vs 0.70, Akaike information criterion 2,095 vs 2,088).

CONCLUSION

Summary electronic medical record perioperative risk metrics predict patient-level cost variation as effectively as individual comorbidities in the pancreaticoduodenectomy population. Automated electronic medical record data extraction can expand the patient population available for retrospective analysis without the associated increase in human and fiscal resources that manual data abstraction requires.

Sex differences in complications and readmission rates following shoulder arthroplasty in the United States

Introduction

Shoulder arthroplasty (SA) procedures are increasingly performed in the United States. However, there is a lack of data evaluating how patient sex may affect perioperative complications. The purpose of this study was to evaluate sex-based differences in 30-day postoperative complication and readmission rates after SA.

Methods

Total SA and reverse SA cases between 2012-2016 were identified from the American College of Surgeons National Surgical Quality Improvement Program database. The 30-day complication rate, readmission rate, operation time, length of stay, and mortality were compared between women and men. Multivariable logistic regression analysis was performed to identify independent perioperative complications associated with patient sex.

Results

Of 12,530 SA cases, 6949 (55.4%) were female and 5499 (44.5%) were male. Compared with women, on average men were significantly younger, had lower body mass index, and were less likely to be functionally dependent, and less likely to have an American Society of Anesthesiologists score of 3+ (P < .001). Although overall complications and readmission rates between women and men were similar (3.4% vs. 3.7%, P = .489; 3.0% vs. 2.8%, P = .497), men were significantly less likely to develop urinary tract infections (UTIs; odds ratio [OR] 0.58, P = .032) and require transfusions (OR 0.49, P < .001) and had shorter lengths of stay (P < .001). However, men were significantly more likely to have a superficial surgical site infection (OR 2.63, P = .035) and 6.8 minute longer operating time (P < .001) compared with women.

Conclusion

Though the overall complication risk is similar between the sexes, their risk profiles are distinct. Men had decreased risk of UTI, blood transfusions, and shorter length of stay but increased risk of surgical site and longer operating time compared with women. This disparity should be discussed when counseling and risk-stratifying patients for SA.

Risk factors associated with the development of sepsis after reconstructive flap surgery. J Plast Surg Hand Surg 2019;53:328-334. [PMID: 31204583 DOI: 10.1080/2000656x.2019.1626738]

Sepsis is a serious and potentially life-threatening condition. Risk factors that are associated with the development of sepsis may differ as it relates to reconstructive flap surgery. The purpose of this study is to identify the incidence and predictors for sepsis in patients undergoing reconstructive flap surgery. The ACS-NSQIP database was queried from 2005 to 2016 for factors related to sepsis in patients undergoing reconstructive flap surgery. CPT codes were used to identify patient cohorts. A sepsis group was compared to a control group that underwent the same procedures without the postoperative manifestations of sepsis. Statistical analyses were performed to ascertain risk factors associated with the development of sepsis. 24,257 patients who underwent flap reconstruction were included in this study. Of these, 511 developed sepsis postoperatively (2.1%). Multivariate analysis showed that male gender (p < .001), African-American race (p < .001), hypertension requiring medication (p < .001), smoking (p < .001), a higher Charlson comorbidity Index score (p < .001), evidence of preoperative wound infection (p < .001), chronic steroid use (p < .001), and prolonged operative time (p < .001) all significantly were associated with the development of sepsis. Sepsis resulted in a higher chance of 30-day mortality (p < .001) and increased the risk of developing septic shock (OR: 2.578, CI: 1.241-5.354) This study shows that postoperative sepsis is a serious complication of reconstructive flap surgery. Risk reduction and prevention of potentially life-threatening complications is always a priority. Awareness of the risk factors contributing to the development of sepsis is crucial for early intervention and treatment.

The Impact of Different Postgraduate Year Training in Neurosurgery Residency on 30-Day Postoperative Outcomes

BACKGROUND

Previous studies have failed to demonstrate statistically significant differences in postsurgical outcomes between operative cases featuring resident participation compared to attending only; however, the effects of level of postgraduate year (PGY) training have not been explored.

OBJECTIVE

To correlate different PGYs in neurosurgery with 30-d postoperative outcomes.

METHODS

Using National Surgical Quality Improvement Program 2005-2014, adult neurosurgical cases were divided into subspecialties: spine, open-vascular, cranial, and functional in teaching institutions. Comparison groups: cases involving junior residents (PGY 1-PGY 3), mid-level residents (PGY 4 + PGY 5), and senior residents (PGY 6 + PGY 7). Primary outcome measures included any wound disruption (surgical site infections and/or wound dehiscence), Clavien-Dindo grade IV (life-threatening) complications, and death.

RESULTS

Compared to junior residents (n = 3729) and mid-level residents (n = 2779), senior residents (n = 3692) operated on patients with a greater comorbidity burden, as reflected by higher American Society of Anesthesiology classifications and decreased level of functional status. Cases with senior resident participation experienced the highest percentages of postoperative wound complications (P = .005), Clavien-Dindo grade IV complications (P = .001), and death (P = .035). However, following multivariable regression, level of residency training in neurosurgery did not predict any of the 3 primary outcome measures. Compared to spinal cases, cranial cases predicted a higher incidence of life-threatening complications (odds ratio 1.84, P < .001).

CONCLUSION

Cases in the senior resident cohort were more technically challenging and exhibited a higher comorbidity burden preoperatively; however, level of neurosurgical training did not predict any wound disruption, life-threatening complications, or death. Residents still provide safe and effective assistance to attending neurosurgeons.

Room for "quality" improvement? Validating National Surgical Quality Improvement Program-Pediatric (NSQIP-P) appendectomy data

INTRODUCTION

Accurate data are essential for the validity of clinical registries. This study aimed to validate NSQIP-P data, assess representativeness, and evaluate risk-adjusted predictive ability at a single institution.

METHODS

A prospective appendectomy-specific pediatric surgery research database (RD) maintained by clinical researchers was compared to the NSQIP-P data for appendectomies performed in 2016 at a tertiary children's hospital. NSQIP-P sampled data collected by trained surgical clinical reviewers (SCRs) were compared to matched RD patients. Both datasets used NSQIP-P definitions. Using χ², datasets were compared by patient demographics, disease severity (simple vs. complicated), and outcomes.

RESULTS

458 appendectomies for acute appendicitis were performed in 2016, of which 250 (55%) were abstracted by SCRs and matched to RD patients. Patient demographics were similar between datasets. Disease severity (NSQIP-P:50% complicated vs RD:31% complicated) and composite morbidity (NSQIP-P:6.0% vs RD:14.4%) were significantly different (both p < 0.01). Demographics and outcomes were similar between matched (n = 250) and unsampled patients in the RD (n = 208). NSQIP-P's risk-adjusted predicted morbidity was significantly lower than morbidity observed in all (n = 458) RD patients (NSQIP-P:9.9% vs RD:14.2%, p < 0.01).

CONCLUSIONS

Though constituting a representative sample, NSQIP-P appendectomy data were inconsistent with department data. Discrepancies appear to be the result of underreporting of outcome variables and disease misclassification.

TYPE OF STUDY

Retrospective comparative review.

LEVEL OF EVIDENCE

Level III.

Predictive Power of the NSQIP Risk Calculator for Early Post-Operative Outcomes After Whipple: Experience from a Regional Center in Northern Ontario

BACKGROUND

NSQIP Risk Calculator was developed to allow surgeons to inform their patients about their individual risks for surgery. Its ability to predict complication rates and length of stay (LOS) has made it an appealing tool for both patients and surgeons. However, the NSQIP Risk Calculator has been criticized for its generality and lack of detail towards surgical subspecialties, including the hepatopancreaticobiliary (HPB) surgery. We wish to determine whether the NSQIP Risk Calculator is predictive of post-operative complications and LOS with respect to Whipple's resections for our patient population. As well, we wish to identify strategies to optimize early surgical outcomes in patients with pancreatic cancer.

METHODS

We conducted a retrospective review of patients who underwent elective Whipple's procedure for benign or malignant pancreatic head lesions at Health Sciences North (Sudbury, Ontario), a tertiary care center, from February 2014 to August 2016. Comparisons of LOS and post-operative complications between NSQIP-predicted and actual ones were carried out. NSQIP-predicted complications rates were obtained using the NSQIP Risk Calculator through pre-defined preoperative risk factors. Clinical outcomes examined, at 30 days post-operation, included pneumonia, cardiac events, surgical site infection (SSI), urinary tract infection (UTI), venous thromboembolism (VTE), renal failure, readmission, and reoperation for procedural complications. As well, mortality, disposition to nursing or rehabilitation facilities, and LOS were assessed.

RESULTS

A total of 40 patients underwent Whipple's procedure at our center from February 2014 to August 2016. The average age was 68 (50-85), and there were 22 males and 18 females. The majority of patients had independent baseline functional status (39/40) with minimal pre-operative comorbidities. The overall post-operative morbidity was 47.5% (19/40). The rate of serious complication was 17.5% with four Clavien grade II, two grade III, and one grade V complications. One mortality occurred within 30 days after surgery. NSQIP Risk Calculator was predictive for the majority of post-surgical complication types, including pneumonia, SSI, VTE, reoperation, readmission, and disposition to rehabilitation or nursing home. Our center appears to have a higher rate of UTI than NSQIP predicted (O/E = 3.9), as well, the rate of cardiac complication (O/E = 3.1) also appears to be higher at our center. With respect to readmission rates (O/E = 0.6) and renal failure (O/E = 0), NSQIP provided overestimated rates. The average LOS was 11.9 ± 0.9 days, which was not significantly different from the average LOS of 11.5 ± 0.3 days predicted by NSQIP (p = 0.3). Overall, 80% of discharges occurred less than or within 3 days of that predicted by NSQIP.

CONCLUSION

NSQIP Risk Calculator is predictive of post-operative complications and LOS for patients who have undergone Whipple's at our center. A more HPB-focused NSQIP calculator may accurately project post-operative complication in the pre-operative period. Nevertheless, the generic NSQIP has allowed us to examine our existing practice of post-operative care and has paved way to reduce cardiac and urinary complications in the future.

Thirty-day Complications and Readmission Rates in Elderly Patients After Shoulder Arthroplasty

Introduction

Shoulder arthroplasty procedures are increasingly being performed in older patients despite an increased perioperative risk. The purpose of this study is to determine the complications and 30-day readmission rates in the elderly population after shoulder arthroplasty and hemiarthroplasty.

Methods

Total shoulder arthroplasty, reverse total shoulder arthroplasty, and hemiarthroplasty cases were collected from the National Surgical Quality Improvement Program database from 2006 to 2015. The 30-day complication and readmission rates, surgical time, discharge destination, and total hospital length of stay were calculated, comparing patients by age (elderly: ≥80 years; older: 65 to 79 years; younger: <65 years). Multivariable logistic regression analysis was performed to identify variables associated with any complication within 30 days of surgery.

Results

Of 11,450 patients, 1,956 (17.1%) underwent shoulder hemiarthroplasty and 9,494 (82.9%) underwent total shoulder arthroplasty. By age group, 1,708 (14.9%) were ≥80, 6,073 (53.0%) were 65 to 79, and 3,669 (32.0%) were <65. The overall 30-day postoperative complication rate was significantly higher in elderly patients (15.3% versus 8.2% versus 6.8%; P < 0.001), length of stay (2.6 versus 2.1 versus 1.8 days; P < 0.001), and unplanned readmissions (5.5% versus 2.6% versus 2.3%; P < 0.001). The strongest independent variables significantly associated with any complication included revision arthroplasty indication (odds ratio [OR], 4.34; P < 0.001), fracture indication (OR, 4.14; P < 0.001), and history of cardiac disease (OR, 2.33; P < 0.001), followed by elderly age (OR, 2.01; P < 0.001).

Conclusions

The 15.3% complication rate (major, 4.8%; minor, 10.7%), 2.6 days of average length of stay, and 5.5% unplanned readmission among elderly patients (>80) are significantly higher than younger patients. Although surgical indications and comorbidities are higher-quality predictors of complications, elderly patients should be appropriately counseled and medically optimized according to the perioperative risk profile before surgery.

Evaluating the effect of growing patient numbers and changing data elements in the National Surgical Quality Improvement Program (NSQIP) database over the years: a study of posterior lumbar fusion outcomes

BACKGROUND CONTEXT

The use of national databases in spinal surgery outcomes research is increasing. A number of variables collected by the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) changed between 2010 and 2011, coinciding with a rapid increase in the number of patients included per year. However, there has been limited study evaluating the effect that these changes may have on the results of outcomes studies.

PURPOSE

The present study aimed to investigate the influence of changing data elements and growth of the NSQIP database on results of lumbar fusion outcomes studies.

STUDY DESIGN/SETTING

This is a retrospective cohort study of prospectively collected data.

PATIENT SAMPLE

The NSQIP database was retrospectively queried to identify 19,755 patients who underwent elective posterior lumbar fusion surgery with or without interbody fusion between 2005 and 2014. Patients were split into two groups based on year of surgery: 2,802 from 2005 to 2010 and 16,953 from 2011 to 2014.

OUTCOME MEASURES

The occurrence of adverse events after discharge from the hospital, within postoperative day 30, was determined.

METHODS

Preoperative characteristics and 30-day perioperative outcomes were compared between the era groups using bivariate analysis. To illustrate the effect of such changing data elements, the association between age and postoperative outcomes in the era groups was analyzed using multivariate Poisson regression. The present study had no funding sources, and there were no study-related conflicts of interest for any authors.

RESULTS

There were significant differences between the era groups for a variety of preoperative characteristics. Postoperative events such blood transfusion and deep vein thrombosis were also significantly different between the era groups. For the 2005-2010 cohort, age was significantly associated with septic shock by multivariate analysis. For the 2011-2014 cohort, age was significantly associated with septic shock, urinary tract infection, blood transfusion, myocardial infarction, and extended length of stay.

CONCLUSIONS

The NSQIP database has undergone substantial changes between 2005 and 2014. These changes may contribute to different results in analyses, such as the association between age and postoperative outcomes, when using older versus newer data. Conclusions from early studies using this database may warrant reconsideration.

Discrepancy in Postoperative Outcomes between Auditing Databases: A NSQIP Comparison

In 2014, ACS-NSQIP® targeted pancreatectomies to improve outcome reporting and risk calculation related to pancreatectomy. At the same time, our department began prospectively collecting data for pancreatectomy in the Enhanced Recovery After Surgery® Interactive Audit System (EIAS). The purpose of this study is to compare reported outcomes between two major auditing databases for the same patients undergoing pancreatectomy. The same 171 patients were identified in both databases. Clinical outcomes were then obtained from each database and compared to determine whether reported complication rates were statistically different between auditing databases. A combination of Wilcoxon rank sum and Pearson's chi-squared tests were used to calculate statistical significance. No significant difference was appreciated in captured demographics between EIAS and NSQIP. Significant differences in reported rates for renal dysfunction, postoperative pancreatic fistula, return to the operative room, and urinary tract infection were noted between EIAS and NSQIP. Although significant differences in reported complication rates were demonstrated between EIAS and NSQIP for pancreatectomy, much of the discrepancy is attributable to subtle differences in definitions for postoperative occurrences between the two auditing databases. It is vital for surgeons to understand the exact definition that determines the complication rate for a given database.

Predictors of Short-Term Readmission After Pancreaticoduodenectomy

BACKGROUND

Readmissions are a common complication after pancreaticoduodenectomy and are increasingly being used as a performance metric affecting quality assessment, public reporting, and reimbursement. This study aims to identify general and pancreatectomy-specific factors contributing to 30-day readmission after pancreaticoduodenectomy, and determine the additive value of incorporating pancreatectomy-specific factors into a large national dataset.

METHODS

Prospective American College of Surgeons-National Surgical Quality Improvement Project (ACS-NSQIP) data were retrospectively analyzed for patients who underwent pancreaticoduodenectomy (PD) between 2011 and 2015. Additionally, a subset of patients with pancreatectomy-targeted data between 2014 and 2015 were analyzed.

RESULTS

Outcomes of 18,440 pancreaticoduodenectomies were analyzed, and found to have an 18.7% overall readmission rate. Multivariable modeling with pancreatectomy-specific variables increased the predictive value of the model (area under receiver operator characteristic 0.66 to 0.73). Statistically significant independent contributors to readmission included renal insufficiency, sepsis, septic shock, organ space infection, dehiscence, venous thromboembolism, pancreatic fistula, delayed gastric emptying, need for percutaneous drainage, and reoperation.

CONCLUSIONS

Large registry analyses of pancreatectomy outcomes are markedly improved by the incorporation of granular procedure-specific data. These data emphasize the need for prevention and careful management of perioperative infectious complications, fluid management, thromboprophylaxis, and pancreatic fistulae.

Development and Evaluation of a Preoperative Risk Calculator for Periprosthetic Joint Infection Following Total Joint Arthroplasty

BACKGROUND

Preoperative identification of patients at risk for periprosthetic joint infection (PJI) following total hip arthroplasty (THA) or total knee arthroplasty (TKA) is important for patient optimization and targeted prevention. The purpose of this study was to create a preoperative PJI risk calculator for assessing a patient's individual risk of developing (1) any PJI, (2) PJI caused by Staphylococcus aureus, and (3) PJI caused by antibiotic-resistant organisms.

METHODS

A retrospective review was performed of 27,717 patients (12,086 TKAs and 31,167 THAs), including 1,035 with confirmed PJI, who were treated at a single institution from 2000 to 2014. A total of 42 risk factors, including patient characteristics and surgical variables, were evaluated with a multivariate analysis in which coefficients were scaled to produce integer scores. External validation was performed with use of data on 29,252 patients who had undergone total joint arthroplasty (TJA) at an independent institution.

RESULTS

Of the 42 risk factors studied, 25 were found not to be significant risk factors for PJI. The most influential of the remaining 17 included a previous open surgical procedure, drug abuse, a revision procedure, and human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS). The areas under the curves were 0.83 and 0.84 for any PJI, 0.86 and 0.83 for antibiotic-resistant PJI, and 0.86 and 0.73 for S. aureus PJI in the internal and external validation models, respectively. The rates of PJI were 0.56% and 0.61% in the lowest decile of risk scores and 15.85% and 20.63% in the highest decile.

CONCLUSIONS

In this large-cohort study, we were able to identify and validate risk factors and their relative weights for predicting PJI. Factors such as prior surgical procedures and high-risk comorbidities should be considered when determining whether TJA is indicated and when counseling patients.

LEVEL OF EVIDENCE

Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Verification of Data Accuracy in Japan Congenital Cardiovascular Surgery Database Including Its Postprocedural Complication Reports

Background:

Japan Congenital Cardiovascluar Surgical Database (JCCVSD) is a nationwide registry whose data are used for health quality assessment and clinical research in Japan. We evaluated the completeness of case registration and the accuracy of recorded data components including postprocedural mortality and complications in the database via on-site data adjudication.

Methods:

We validated the records from JCCVSD 2010 to 2012 containing congenital cardiovascular surgery data performed in 111 facilities throughout Japan. We randomly chose nine facilities for site visit by the auditor team and conducted on-site data adjudication. We assessed whether the records in JCCVSD matched the data in the source materials.

Results:

We identified 1,928 cases of eligible surgeries performed at the facilities, of which 1,910 were registered (99.1% completeness), with 6 cases of duplication and 1 inappropriate case registration. Data components including gender, age, and surgery time (hours) were highly accurate with 98% to 100% concordance. Mortality at discharge and at 30 and 90 postoperative days was 100% accurate. Among the five complications studied, reoperation was the most frequently observed, with 16 and 21 cases recorded in the database and source materials, respectively, having a sensitivity of 0.67 and a specificity of 0.99.

Conclusions:

Validation of JCCVSD database showed high registration completeness and high accuracy especially in the categorical data components. Adjudicated mortality was 100% accurate. While limited in numbers, the recorded cases of postoperative complications all had high specificities but had lower sensitivity (0.67-1.00). Continued activities for data quality improvement and assessment are necessary for optimizing the utility of these registries.

Nationwide comprehensive gastro-intestinal cancer cohorts: the 3P initiative

BACKGROUND

The increasing sub-classification of cancer patients due to more detailed molecular classification of tumors, and limitations of current trial designs, require innovative research designs. We present the design, governance and current standing of three comprehensive nationwide cohorts including pancreatic, esophageal/gastric, and colorectal cancer patients (NCT02070146). Multidisciplinary collection of clinical data, tumor tissue, blood samples, and patient-reported outcome (PRO) measures with a nationwide coverage, provides the infrastructure for future and novel trial designs and facilitates research to improve outcomes of gastrointestinal cancer patients.

MATERIAL AND METHODS

All patients aged ≥18 years with pancreatic, esophageal/gastric or colorectal cancer are eligible. Patients provide informed consent for: (1) reuse of clinical data; (2) biobanking of primary tumor tissue; (3) collection of blood samples; (4) to be informed about relevant newly identified genomic aberrations; (5) collection of longitudinal PROs; and (6) to receive information on new interventional studies and possible participation in cohort multiple randomized controlled trials (cmRCT) in the future.

RESULTS

In 2015, clinical data of 21,758 newly diagnosed patients were collected in the Netherlands Cancer Registry. Additional clinical data on the surgical procedures were registered in surgical audits for 13,845 patients. Within the first two years, tumor tissue and blood samples were obtained from 1507 patients; during this period, 1180 patients were included in the PRO registry. Response rate for PROs was 90%. The consent rate to receive information on new interventional studies and possible participation in cmRCTs in the future was >85%. The number of hospitals participating in the cohorts is steadily increasing.

CONCLUSION

A comprehensive nationwide multidisciplinary gastrointestinal cancer cohort is feasible and surpasses the limitations of classical study designs. With this initiative, novel and innovative studies can be performed in an efficient, safe, and comprehensive setting.

The myths of ‘big data’ in health care

‘Big data’ is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Billions of dollars have been spent on attempts to build predictive tools from large sets of poorly controlled healthcare metadata. Companies often sell reports at a physician or facility level based on various flawed data sources, and comparative websites of ‘publicly reported data’ purport to educate the public. Physicians should be aware of concerns and pitfalls seen in such data definitions, data clarity, data relevance, data sources and data cleaning when evaluating analytic reports from metadata in health care.

Cite this article: Bone Joint J 2017;99-B:1571–6.

Distinction of Risk Factors for Superficial vs Organ-Space Surgical Site Infections After Pancreatic Surgery

Importance

Surgical site infection (SSI) rates are increasingly used as a quality metric. However, risk factors for SSI in pancreatic surgery remain undefined.

Objective

To stratify superficial and organ-space SSIs after pancreatectomy and investigate their modifiable risk factors.

Design, Setting, and Participants

This retrospective analysis included 201 patients undergoing pancreatic surgery at a university-based tertiary referral center from July 1, 2013, through June 30, 2015, and 10 371 patients from National Surgical Quality Improvement Program-Hepatopancreaticobiliary (NSQIP-HPB) Collaborative sites from January 1, 2014, through December 31, 2015.

Main Outcomes and Measures

Superficial, deep-incisional, and organ-space SSIs, as defined by NSQIP.

Results

Among the 201 patients treated at the single center (108 men [53.7%] and 93 women [46.3%]; median age, 48.6 years [IQR, 41.4-57.3 years]), 58 had any SSI (28.9%); 28 (13.9%), superficial SSI; 8 (4%), deep-incisional SSI; and 24 (11.9%), organ-space SSI. Independent risk factors for superficial SSI were preoperative biliary stenting (odds ratio [OR], 4.81; 95% CI, 1.25-18.56; P = .02) and use of immunosuppressive corticosteroids (OR, 13.42; 95% CI, 1.64-109.72; P = .02), whereas soft gland texture was the only risk factor for organ-space SSI (OR, 4.45; 95% CI, 1.35-14.66; P = .01). Most patients with organ-space infections also had grades B/C fistulae (15 of 24 [62.5%] vs 4 of 143 [2.8%] in patients with no SSI; P < .001). Organ/space but not superficial SSI was associated with an increased rate of sepsis (7 of 24 [29.2%] vs 4 of 143 [2.8%]; P < .001) and prolonged length of hospital stay (12 vs 8 days; P = .04). Among patients in the NSQIP-HPB Collaborative, 2057 (19.8%) had any SSI; 719 (6.9%), superficial SSI; 207 (2%), deep-incisional SSI; and 1287 (12.4%), organ-space SSI. Preoperative biliary stenting was confirmed as an independent risk factor for superficial SSI (OR, 2.07; 95% CI, 1.58-2.71; P < .001). In this larger data set, soft gland texture was an independent risk factor for superficial SSI (OR, 1.45; 95% CI, 1.14-1.85; P = .002) but was more strongly and significantly associated with organ-space SSI (OR, 2.32; 95% CI, 1.88-2.85; P < .001).

Conclusions and Relevance

Preoperative biliary stenting and coriticosteroid use increase superficial SSI, even in patients receiving perioperative piperacillin-tazobactam. Additional measures, including extended broad-spectrum perioperative antibiotic treatment, should be considered in these patients. Organ/space SSIs appear to be related to pancreatic fistulae, which are not modifiable. Reporting these different subtypes as a single, overall rate may be misleading.

Nationwide prospective audit of pancreatic surgery: design, accuracy, and outcomes of the Dutch Pancreatic Cancer Audit

BACKGROUND

Auditing is an important tool to identify practice variation and 'best practices'. The Dutch Pancreatic Cancer Audit is mandatory in all 18 Dutch centers for pancreatic surgery.

METHODS

Performance indicators and case-mix factors were identified by a PubMed search for randomized controlled trials (RCT's) and large series in pancreatic surgery. In addition, data dictionaries of two national audits, three institutional databases, and the Dutch national cancer registry were evaluated. Morbidity, mortality, and length of stay were analyzed of all pancreatic resections registered during the first two audit years. Case ascertainment was cross-checked with the Dutch healthcare inspectorate and key-variables validated in all centers.

RESULTS

Sixteen RCT's and three large series were found. Sixteen indicators and 20 case-mix factors were included in the audit. During 2014-2015, 1785 pancreatic resections were registered including 1345 pancreatoduodenectomies. Overall in-hospital mortality was 3.6%. Following pancreatoduodenectomy, mortality was 4.1%, Clavien-Dindo grade ≥ III morbidity was 29.9%, median (IQR) length of stay 12 (9-18) days, and readmission rate 16.0%. In total 97.2% of >40,000 variables validated were consistent with the medical charts.

CONCLUSIONS

The Dutch Pancreatic Cancer Audit, with high quality data, reports good outcomes of pancreatic surgery on a national level.

Pancreatic resection in the era of laparoscopy: State of Art. A systematic review

BACKGROUND

Innovation in surgical devices and improvement in laparoscopic skills have gradually led to achieve more challenging surgical procedures. Among these demanding interventions is the pancreatic surgery that is seen as intraoperatively risky and with high postoperative morbi-mortality rate. In order to understand the complexity of laparoscopic pancreatic surgery, we performed a systematic review of literature.

DATA SOURCE

A systematic review of literature was performed regarding laparoscopic pancreatic resection.

RESULTS

Laparoscopic approach in pancreas resections has been extensively reported as safe and feasible regarding pancreaticoduodenectomy, distal pancreatectomy and pancreatic enucleation. Compared to open approach, no benefit in morbi-mortality has been demonstrated (except for laparoscopic distal pancreatectomy) and no controlled randomized trials have been reported.

CONCLUSIONS

Laparoscopic approach is not workable in all patients and patient selection is not standardized. Additionally, most optimistic reports considering laparoscopic approach are produced by tertiary centres. Currently, two tasks should be accomplished 1°) standardization of the laparoscopic pancreatic procedures 2°) comparative trials to assess endpoint benefits of laparoscopic pancreatic resection compared with open procedures.

Risk-adjusted Outcomes of Clinically Relevant Pancreatic Fistula Following Pancreatoduodenectomy: A Model for Performance Evaluation

OBJECTIVE

To evaluate surgical performance in pancreatoduodenectomy using clinically relevant postoperative pancreatic fistula (CR-POPF) occurrence as a quality indicator.

BACKGROUND

Accurate assessment of surgeon and institutional performance requires (1) standardized definitions for the outcome of interest and (2) a comprehensive risk-adjustment process to control for differences in patient risk.

METHODS

This multinational, retrospective study of 4301 pancreatoduodenectomies involved 55 surgeons at 15 institutions. Risk for CR-POPF was assessed using the previously validated Fistula Risk Score, and pancreatic fistulas were stratified by International Study Group criteria. CR-POPF variability was evaluated and hierarchical regression analysis assessed individual surgeon and institutional performance.

RESULTS

There was considerable variability in both CR-POPF risk and occurrence. Factors increasing the risk for CR-POPF development included increasing Fistula Risk Score (odds ratio 1.49 per point, P < 0.00001) and octreotide (odds ratio 3.30, P < 0.00001). When adjusting for risk, performance outliers were identified at the surgeon and institutional levels. Of the top 10 surgeons (≥15 cases) for nonrisk-adjusted performance, only 6 remained in this high-performing category following risk adjustment.

CONCLUSIONS

This analysis of pancreatic fistulas following pancreatoduodenectomy demonstrates considerable variability in both the risk and occurrence of CR-POPF among surgeons and institutions. Disparities in patient risk between providers reinforce the need for comprehensive, risk-adjusted modeling when assessing performance based on procedure-specific complications. Furthermore, beyond inherent patient risk factors, surgical decision-making influences fistula outcomes.

Whipple-specific complications result in prolonged length of stay not accounted for in ACS-NSQIP Surgical Risk Calculator

BACKGROUND

The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Surgical Risk Calculator was developed to help counsel patients regarding estimated postoperative risk for a variety of surgical complications. This retrospective single institutional study examined the calculator's ability to accurately predict complications and length of hospital stay (LOS) in patients who had undergone a Pancreaticoduodenectomy (PD) at our institution.

METHODS

165 patients at Washington University School of Medicine who underwent a PD from 8/2011 to 7/2013 were included. Surgical complication risk as determined by the ACS-NSQIP Surgical Risk Calculator were compared to actual 30 day complications. PD complications not accounted for by the calculator were compared to those without PD-specific complications.

RESULTS

Overall predicted LOS was significantly shorter than actual duration of hospitalization (median 8.5 vs. 8.0 days; p < 0.001). 38% patients (n = 62) with Whipple-specific complication demonstrated a significant increase in LOS (8.0 vs. 12.2 days; p < 0.0001).

DISCUSSION

A large proportion of complications experienced after PD are pancreas-specific, accounting for the difference in predicted vs. actual LOS and providing rationale for future development of PD specific risk models.

Morbidity and Mortality After Gastrectomy: Identification of Modifiable Risk Factors

BACKGROUND

Morbidity after gastrectomy remains high. The potentially modifiable risk factors have not been well described. This study considers a series of potentially modifiable patient-specific and perioperative characteristics that could be considered to reduce morbidity and mortality after gastrectomy.

METHODS

This retrospective cohort study includes adults in the ACS NSQIP PUF dataset who underwent gastrectomy between 2011 and 2013. Sequential multivariable models were used to estimate effects of clinical covariates on study outcomes including morbidity, mortality, readmission, and reoperation.

RESULTS

Three thousand six hundred and seventy-eight patients underwent gastrectomy. A majority of patients had distal gastrectomy (N = 2,799, 76.1 %) and had resection for malignancy (N = 2,316, 63.0 %). Seven hundred and ninety-eight patients (21.7 %) experienced a major complication. Reoperation was required in 290 patients (7.9 %). Thirty-day mortality was 5.2 %. Age (OR = 1.01, 95 % CI = 1.01-1.02, p = 0.001), preoperative malnutrition (OR = 1.65, 95 % CI = 1.35-2.02, p < 0.001), total gastrectomy (OR = 1.63, 95 % CI = 1.31-2.03, p < 0.001), benign indication for resection (OR = 1.60, 95 % CI = 1.29-1.97, p < 0.001), blood transfusion (OR = 2.57, 95 % CI = 2.10-3.13, p < 0.001), and intraoperative placement of a feeding tubes (OR = 1.28, 95 % CI = 1.00-1.62, p = 0.047) were independently associated with increased risk of morbidity. Association between tobacco use and morbidity was statistically marginal (OR = 1.23, 95 % CI = 0.99-1.53, p = 0.064). All-cause postoperative morbidity had significant associations with reoperation, readmission, and mortality (all p < 0.001).

CONCLUSIONS

Mitigation of perioperative risk factors including smoking and malnutrition as well as identified operative considerations may improve outcomes after gastrectomy. Postoperative morbidity has the strongest association with other measures of poor outcome: reoperation, readmission, and mortality.

Frailty predicts risk of life-threatening complications and mortality after pancreatic resections

BACKGROUND

To assess the effect of frailty on morbidity and mortality after partial pancreatectomy.

METHODS

A retrospective analysis of National Surgical Quality Improvement Project from 2005-2010 was conducted. A modified frailty index was created based on previously validated methodology. Patients were classified as nonfrail, low frailty, intermediate frailty, and frail. Outcomes of pancreatoduodenectomy and distal pancreatectomy were examined.

RESULTS

In the study, 13,020 patients were analyzed (8,729 pancreatoduodenectomy and 4,291 distal pancreatectomy). Among the pancreatoduodenectomy and distal pancreatectomy patients, frail patients regardless of the degree of frailty were older, more likely male, had a greater body mass index, lower serum albumin, and greater weight loss compared with the nonfrail patients (all P ≤ .05). Postoperatively, a stepwise increased risk of grade 4 complications (Clavien/Dindo) and mortality was noted from nonfrail to frail patients. Every 1-point increase in modified frailty index was associated with a significantly increased risk of grade 4 complications (∼2-6 times) and mortality (∼2-10 times) from low-frail to frail (adjusted for age, sex, body mass index, albumin, weight loss, and type of pancreatectomy). An abbreviated frailty index incorporating 8 variables was as predictive as the modified frailty index (P = .68).

CONCLUSION

An 11-point frailty index as measured in National Surgical Quality Improvement Project predicts serious complications and death after pancreatectomy. A modification of this index with 8 factors continues to have similar predictive ability. Consideration of frailty may be beneficial prior to the pancreatic surgeon and particularly in discussion of operative risk and selection of patients who might receive benefit from pre-operative optimization.

Outcomes of Pancreaticoduodenectomy for Pancreatic Neuroendocrine Tumors: Are Combined Procedures Justified?

Efficacy and outcomes of resection for pancreatic neuroendocrine tumors (pNET) are well established; specific data on outcomes for pancreaticoduodenectomy (PD), either alone or with combined procedures, are limited. A retrospective review of PDs for pNET (1998-2014) at our institution was conducted. Patients were categorized into standard PD (SPD) alone or combined PD (CPD) defined as patients undergoing concurrent vascular reconstruction or additional organ resection for curative intent. Kaplan-Meier survival analyses were performed. PD for pNET was performed for 95 patients. Tumors were functional in 11 patients (9 %). Twenty-six patients (28 %) underwent CPD. The 30/90-day mortality was 1.1/5.3 % respectively and similar between SPD and CPD (p = 0.61/p = 0.24). Five-year overall survival after PD for pNET was 85.1/71.9 % and similar between SPD/CPD groups (p = 0.17). Recurrence-free and overall survival for low-grade tumors was 74.7/93.9 % at 5 years compared to only 14.8/49.7 % for high-grade tumors (p < 0.001) and not predicted by extent of resection (SPD/CPD, respectively). PD with or without concurrent resection provides an acceptable, perioperative and long-term oncologic, outcome for pNET. CPD is justified treatment modality, particularly for patients with low-grade tumors. The need for combinatorial procedures during PD is not contraindication alone for otherwise resectable patients with pNET.