The Department of Veterans Affairs' NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care. National VA Surgical Quality Improvement Program

Impact of hepatectomy surgical complexity on outcomes and hospital quality rankings

BACKGROUND

There is substantial variation in the surgical complexity of hepatectomy. Currently, the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) risk adjusts for hospital quality comparisons using only the primary procedure code. Our objectives were to (1) assess the association between secondary procedures and complications; (2) assess model performance with inclusion of surgical complexity adjustment; and (3) examine whether secondary procedures affect hospital quality rankings.

METHODS

Using ACS NSQIP (2007-2012), patients undergoing hepatectomy were identified. Secondary procedure codes and total work relative value units (RVUs) were used to approximate procedural complexity. The effect of procedural complexity variables on outcomes and hospital quality rankings were examined using hierarchical models.

RESULTS

Among 11,826 patients who underwent hepatectomy at 261 hospitals, 32.8 % underwent at least one secondary procedure. Serious morbidity occurred in 18.0 % of patients. Seven of nine secondary procedures were significantly associated with death or serious morbidity on multivariable analysis. Model performance improved when secondary procedure categories were included, and secondary procedure categories outperformed total RVUs. The C-statistic for death or serious morbidity was 0.689 in the standard NSQIP model, 0.703 when total RVU was included, and 0.718 when secondary procedure categories were included. Of the 26 hospitals that were poor performers for death or serious morbidity using the standard ACS NSQIP model, three became average performers when secondary procedure categories were included in the model.

CONCLUSIONS

Secondary procedures are associated with an increased risk of postoperative complications. Inclusion of secondary procedure code categories in research and risk prediction models should be considered for hepatectomy.

Comparison of prospective risk estimates for postoperative complications: human vs computer model

BACKGROUND

Surgical quality improvement tools such as NSQIP are limited in their ability to prospectively affect individual patient care by the retrospective audit and feedback nature of their design. We hypothesized that statistical models using patient preoperative characteristics could prospectively provide risk estimates of postoperative adverse events comparable to risk estimates provided by experienced surgeons, and could be useful for stratifying preoperative assessment of patient risk.

STUDY DESIGN

This was a prospective observational cohort. Using previously developed models for 30-day postoperative mortality, overall morbidity, cardiac, thromboembolic, pulmonary, renal, and surgical site infection (SSI) complications, model and surgeon estimates of risk were compared with each other and with actual 30-day outcomes.

RESULTS

The study cohort included 1,791 general surgery patients operated on between June 2010 and January 2012. Observed outcomes were mortality (0.2%), overall morbidity (8.2%), and pulmonary (1.3%), cardiac (0.3%), thromboembolism (0.2%), renal (0.4%), and SSI (3.8%) complications. Model and surgeon risk estimates showed significant correlation (p < 0.0001) for each outcome category. When surgeons perceived patient risk for overall morbidity to be low, the model-predicted risk and observed morbidity rates were 2.8% and 4.1%, respectively, compared with 10% and 18% in perceived high risk patients. Patients in the highest quartile of model-predicted risk accounted for 75% of observed mortality and 52% of morbidity.

CONCLUSIONS

Across a broad range of general surgical operations, we confirmed that the model risk estimates are in fairly good agreement with risk estimates of experienced surgeons. Using these models prospectively can identify patients at high risk for morbidity and mortality, who could then be targeted for intervention to reduce postoperative complications.

Risk factors for readmission after lower extremity bypass in the American College of Surgeons National Surgery Quality Improvement Program

OBJECTIVE

Readmission is associated with high mortality, morbidity, and cost. We used the American College of Surgeons National Surgery Quality Improvement Program (ACS-NSQIP) to determine risk factors for readmission after lower extremity bypass (LEB).

METHODS

We identified all patients who received LEB in the 2011 ACS-NSQIP database. Multivariable logistic regression was used to assess independent predictors of 30-day readmission. We also identified our institutional contribution of LEB patients to the ACS-NSQIP from 2005 to 2011 to determine our institution's rate of readmission and readmission indications.

RESULTS

Among 5018 patients undergoing LEB, ACS-NSQIP readmission analysis was performed on 4512, excluding those whose readmission data were unavailable, who suffered a death on index admission, or who remained in the hospital at 30 days. Overall readmission rate was 18%, and readmission rate of those with NSQIP-captured complications was 8%. Multivariable predictors of readmission were dependent functional status (odds ratio [OR], 1.40; 95% confidence interval [CI], 1.08-1.79), dyspnea (OR, 1.28; 95% CI, 1.02-1.60), cardiac comorbidity (OR, 1.46; 95% CI, 1.16-1.84), dialysis dependence (OR, 1.44; 95% CI, 1.05-1.97), obesity (OR, 1.28; 95% CI, 1.07-1.53), malnutrition (OR, 1.42; 95% CI, 1.12-1.79), critical limb ischemia operative indication (OR, 1.40; 95% CI, 1.10-1.79), and return to the operating room on index admission (OR, 8.0; 95% CI, 6.68-9.60). The most common postdischarge complications occurring in readmitted patients included wound complications (55%), multiple complications (22%), and graft failure (5%). Our institutional data contributed 465 LEB patients to the ACS-NSQIP from 2005 to 2012, with an overall readmission rate of 14%. Unplanned readmissions related to the original LEB (related unplanned) made up 75% of cases. The remainder 25% included readmissions that were planned staged procedures related to the original LEB (related planned, 11%) and admissions for a completely unrelated reason (unrelated unplanned, 14%). The most common readmission indications included wound infection (37%) and graft failure (10%). Readmissions were attributable to NSQIP-captured postdischarge complications in 44% of cases, an additional 44% had a non-NSQIP-defined reason for readmission, and the remainder (12%) included patients admitted for complications described in NSQIP but not meeting strict NSQIP criteria.

CONCLUSIONS

Readmissions are common after LEB. Optimization of select chronic conditions, closer follow-up of patients in poor health and those who required return to the operating room, and early detection of surgical site infections may improve readmission rates. Our finding that 25% of readmissions after LEB are not procedure related informs the broader discussion of how a readmission penalty affects vascular surgery in particular.

How to improve the performance of intraoperative risk models: an example with vital signs using the surgical apgar score

BACKGROUND

Computerized reviews of patient data promise to improve patient care through early and accurate identification of at-risk and well patients. The significance of sampling strategy for patient vital signs data is not known. In the instance of the surgical Apgar score (SAS), we hypothesized that larger sampling intervals would improve the specificity and overall predictive ability of this tool.

METHODS

We used electronic intraoperative data from general and vascular surgical patients in a single-institution registry of the American College of Surgeons National Surgical Quality Improvement Program. The SAS, consisting of lowest heart rate, lowest mean arterial blood pressure, and estimated blood loss between incision and skin closure, was calculated using 5 methods: instantaneously and using intervals of of 5 and 10 minutes with and without interval overlap. Major complications including death were assessed at 30 days postoperatively.

RESULTS

Among 3000 patients, 272 (9.1%) experienced major complications or death. As the sampling interval increased from instantaneous (shortest) to 10 minutes without overlap (largest), the sensitivity, positive predictive value, and negative predictive value did not change significantly, but significant improvements were noted for specificity (79.5% to 82.9% across methods, P for trend <0.001) and accuracy (76.0% to 79.3% across methods, P for trend <0.01). In multivariate modeling, the predictive utility of the SAS as measured by the c-statistic nearly increased from Δc = +0.012 (P = 0.038) to Δc = +0.021 (P < 0.002) between the shortest and largest sampling intervals, respectively. Compared with a preoperative risk model, the net reclassification improvement and integrated discrimination improvement for the shortest versus largest sampling intervals of the SAS were net reclassification improvement 0.01 (P = 0.8) vs 0.06 (P = 0.02), and for integrated discrimination improvement, they were 0.008 (P < 0.01) vs 0.015 (P < 0.001).

CONCLUSIONS

When vital signs data are recorded in compliance with American Society of Anesthesiologists' standards, the sampling strategy for vital signs significantly influences performance of the SAS. Computerized reviews of patient data are subject to the choice of sampling methods for vital signs and may have the potential to be optimized for safe, efficient patient care.

A frailty index identifies patients at high risk of mortality after tracheostomy

OBJECTIVE

To evaluate the utility of a modified frailty index as an indicator of postoperative mortality in patients undergoing tracheostomy.

STUDY DESIGN

Case series with chart review.

SETTING

Tertiary care veterans hospital.

SUBJECTS AND METHODS

A chart review was conducted of consecutive tracheostomies performed between April 2007 and September 2012. A modified frailty index consisting of 11 items based on the Revised Minimum Data Set Mortality Rating Index (MMRI-R) was retrospectively applied using the patient's status immediately prior to tracheostomy. The resultant 6-month calculated mortality risk was compared with both the Veterans Health Administration Surgical Quality Improvement Program's (VASQIP) 30-day calculated mortality and actual mortality.

RESULTS

One hundred consecutive tracheostomies were analyzed. No patients were excluded. Sixty-nine patients died within the study period, with 1-, 6-, and 12-month mortality rates of 25%, 43%, and 59%, respectively. The average calculated 6-month mortality risk using the modified frailty index was 40.5% for nonsurvivors compared with 25.4% for survivors (P = .001). Both the VASQIP calculator and modified frailty index differentiated mortality risks between patients without head and neck cancer who survived less than 6 months versus those who survived longer than 6 months (P = .006 and .01). However, neither the VASQIP nor the modified frailty index differentiated mortality risks for head and neck cancer patients who survived less than 6 months versus greater than 6 months (P = .94 and .26).

CONCLUSION

A modified frailty index identifies patients without head and neck cancer at high risk of postoperative mortality after tracheostomy.

Risk factors for readmission after elective colectomy: postoperative complications are more important than patient and operative factors

BACKGROUND

Colon resections are associated with substantial risk for morbidity and readmissions, and these have become markers for quality of care.

OBJECTIVE

The purpose of this study was to determine risk factors for readmissions after elective colectomies to improve patient care and better understand the complex issues associated with readmissions.

DESIGN

This was an analysis of the prospective, statewide, multicenter Michigan Surgical Quality Collaborative database.

SETTINGS

The analysis was conducted at academic and community medical centers in the state of Michigan.

PATIENTS

Elective laparoscopic and open ileocolic and segmental colectomies from 2008 through 2010 were included.

MAIN OUTCOME MEASURES

Univariate analysis and a multivariate logistic regression model were used to determine influence of patient characteristics, operative factors, and postoperative complications on the incidence of 30-day postoperative readmission.

RESULTS

The readmission rate among 4013 cases was 7.3% (N = 293). On the basis of multivariate logistic regression, the top 3 significant risk factors associated with readmission were stroke (OR, 10.0 [95% CI, 2.70-37.0]; p = 0.001), venous thromboembolism (OR, 6.5 [95% CI, 3.7-11.3]; p < 0.0001), and organ-space surgical site infection (OR, 5.6 [95% CI, 3.4-9.4]; p < 0.0001). Important factors that contributed to readmission risk but were not found to be independent predictors of readmission included diabetes mellitus, preoperative steroids, smoking, cardiac comorbidities, age >80 years, anastomotic leaks, fascial dehiscence, sepsis, pneumonia, unplanned intubation, and length of stay.

LIMITATIONS

The Michigan Surgical Quality Collaborative is a large database, and true causal relations are difficult to determine; reason for readmission is not recorded in the database.

CONCLUSIONS

Postoperative complications account for the majority of risk factors behind readmissions after elective colectomy, whereas preoperative risk factors have less direct influence. Current strategies addressing readmission rates should focus on reducing preventable complications.

Making the case for cost-effectiveness research

Cost-effectiveness research is a component of clinical outcomes that addresses both cost and outcomes simultaneously, providing an understanding of what incremental costs, if any, are required for better clinical outcomes. In the current health care climate, these analyses are increasingly performed, and critical, as practitioners must optimize patient care at lower costs. This review discusses cost effectiveness research, its utilization in surgical oncology, and future opportunities provided by its methodologies.

Surgical specialty and outcomes for carotid endarterectomy: evidence from the National Surgical Quality Improvement Program

BACKGROUND

Carotid endarterectomy (CEA) has been performed since the 1950s and remains one of the most common surgical procedures in the United States. The procedure is performed by cardiothoracic, general, neurologic, and vascular surgeons. This study uses data from the National Surgical Quality Improvement Program (NSQIP) to examine the outcomes after CEA when performed by general or vascular surgeons.

MATERIALS AND METHODS

Data included 34,493 CEAs from years 2005 to 2010 recorded in the NSQIP database. Primary outcomes measured were length of stay, 30-d mortality, surgical site infection, cerebrovascular accident, myocardial infarction, and blood transfusion requirement. Secondary outcomes measured were the remaining intraoperative outcomes from the NSQIP database.

RESULTS

After controlling for patient and surgical characteristics, patients treated by general surgeons did not have a significantly different LOS or 30-d mortality than those treated by vascular surgeons. Patients of general surgeons had nearly twice the risk of acquiring a surgical site infection (odds ratio [OR] = 1.94; P = 0.012), >1.5 times the risk of cerebrovascular accident (OR = 1.56; P = 0.008), and >1.8 times the risk of blood transfusion (OR = 1.85; P = 0.017) than those of vascular surgeons. Patients of general surgeons had less than half the risk of having a myocardial infarction (OR = 0.34; P = 0.031) than those of vascular surgeons.

CONCLUSIONS

Surgical specialty is associated with a wide range of postoperative outcomes after CEA. Additional research is needed to explore practice and cultural differences across surgical specialty that may lead to outcome differences.

The economic burden of complications occurring in major surgical procedures: a systematic review

OBJECTIVES

On the basis of a systematic review, we aimed to establish the cost and drivers of cost and/or resource use of intra- and perioperative complications occurring as a result of selected major surgical procedures, as well as to understand the relationship between costs and severity of complication and, consequently, the economic burden they represent. We also assessed the clinical and economic methodologies used to derive costs and resource use across the studies with a view to providing guidance on reporting standards for these studies.

METHODS

We searched EMBASE, MEDLINE and Econlit (from 2002 to 2012) for study publications including resource use/cost data relating to surgical complications.

RESULTS

We identified 38 relevant studies on pancreatic (n = 14), urologic (n = 4), gynaecological (n = 6), thoracic (n = 13) and hepatic surgery (n = 1). All studies showed that complications lead to higher resource use and hospital costs compared with surgical procedures without complications. Costs depend on type of complication and complication severity, and are driven primarily by prolonged hospitalisation. There was considerable heterogeneity between studies with regard to patient populations, outcomes and procedures, as well as a lack of consistency and transparency of reporting of costs/resource use. Complication severity grading systems were used infrequently.

CONCLUSIONS

The overall conclusions of included studies are consistent: complications represent an important economic burden for health care providers. We conclude that more accurate and consistent data collection is required to serve as input for good-quality economic analyses, which in turn can inform hospital decisions on cost-efficient allocation of their limited resources.

Benchmarking the use of a rapid response team by surgical services at a tertiary care hospital

BACKGROUND

Rapid response teams (RRT) are used to prevent adverse events in patients with acute clinical deterioration, and to save costs of unnecessary transfer in patients with lower-acuity problems. However, determining the optimal use of RRT services is challenging. One method of benchmarking performance is to determine whether a department's event rate is commensurate with its volume and acuity.

STUDY DESIGN

Using admissions between 2009 and 2011 to 18 distinct surgical services at a tertiary care center, we developed logistic regression models to predict RRT activation, accounting for days at-risk for RRT and patient acuity, using claims modifiers for risk of mortality (ROM) and severity of illness (SOI). The model was used to compute observed-to-expected (O/E) RRT use by service.

RESULTS

Of 45,651 admissions, 728 (1.6%, or 3.2 per 1,000 inpatient days) resulted in 1 or more RRT activations. Use varied widely across services (0.4% to 6.2% of admissions; 1.39 to 8.73 per 1,000 inpatient days, unadjusted). In the multivariable model, the greatest contributors to the likelihood of RRT were days at risk, SOI, and ROM. The O/E RRT use ranged from 0.32 to 2.82 across services, with 8 services having an observed value that was significantly higher or lower than predicted by the model.

CONCLUSIONS

We developed a tool for identifying outlying use of an important institutional medical resource. The O/E computation provides a starting point for further investigation into the reasons for variability among services, and a benchmark for quality and process improvement efforts in patient safety.

Detecting adverse events in surgery: comparing events detected by the Veterans Health Administration Surgical Quality Improvement Program and the Patient Safety Indicators

BACKGROUND

The Patient Safety Indicators (PSIs) use administrative data to screen for select adverse events (AEs). In this study, VA Surgical Quality Improvement Program (VASQIP) chart review data were used as the gold standard to measure the criterion validity of 5 surgical PSIs. Independent chart review was also used to determine reasons for PSI errors.

METHODS

The sensitivity, specificity, and positive predictive value of PSI software version 4.1a were calculated among Veterans Health Administration hospitalizations (2003-2007) reviewed by VASQIP (n = 268,771). Nurses re-reviewed a sample of hospitalizations for which PSI and VASQIP AE detection disagreed.

RESULTS

Sensitivities ranged from 31% to 68%, specificities from 99.1% to 99.8%, and positive predictive values from 31% to 72%. Reviewers found that coding errors accounted for some PSI-VASQIP disagreement; some disagreement was also the result of differences in AE definitions.

CONCLUSIONS

These results suggest that the PSIs have moderate criterion validity; however, some surgical PSIs detect different AEs than VASQIP. Future research should explore using both methods to evaluate surgical quality.

Analysis of the NSQIP Database in 676 Patients Undergoing Laryngopharyngectomy

Objective

Assess impact of reconstructive procedures on patients undergoing laryngopharyngectomy and to determine whether 30-day postoperative morbidity and mortality varied between patients who underwent flap reconstruction and those who did not.

Study Design

Retrospective analysis of the prospectively collected American College of Surgeons National Surgical Quality Improvement (ACS-NSQIP) database.

Setting

Tertiary medical center.

Subjects and Methods

We reviewed the 2005-2011 ACS-NSQIP database to identify patients undergoing laryngectomy and/or pharyngectomy. Bivariate analysis was done to compare preoperative variables and postoperative outcomes between the flap reconstruction group and non-reconstruction group. Chi-square tests were used for categorical variables and t-tests for continuous variables. Logistic regression analysis was performed to calculate odds ratio to account for potential confounders. To create a valid logistic analysis model, F-test was used to determine whether certain variables should be included in the model.

Results

Six hundred seventy-six patients were included in our study; 213 patients received concurrent flap reconstruction whereas 463 did not. After risk adjustment, analyses revealed no statistically significant difference in wound complication, minor morbidity, and mortality between the 2 groups. The flap reconstruction cohort showed significantly longer operative times (8.09 ± 3.36 hours vs 5.63 ± 3.47 hours; P = .001) and higher major morbidity rate (OR = 5.906, 95% CI, 3.131-11.139, P = .001).

Conclusions

This is the first comprehensive analysis of flap reconstruction for laryngopharyngeal defects using the ACS-NSQIP registry. Additional measures involved in flap reconstruction are associated with an increase in major morbidity but not mortality. An understanding of these variables may optimize the decision-making process for patients undergoing laryngectomy and/or pharyngectomy.

Slower walking speed forecasts increased postoperative morbidity and 1-year mortality across surgical specialties

OBJECTIVE

The purpose of this study was to determine the relationship between the Timed Up and Go test and postoperative morbidity and 1-year mortality, and to compare the Timed Up and Go to the standard-of-care surgical risk calculators for prediction of postoperative complications.

METHODS

In this prospective cohort study, patients 65 years and older undergoing elective colorectal and cardiac operations with a minimum of 1-year follow-up were included. The Timed Up and Go test was performed preoperatively. This timed test starts with the subject standing from a chair, walking 10 feet, returning to the chair, and ends after the subject sits. Timed Up and Go results were grouped as fast ≤ 10 seconds, intermediate = 11-14 seconds, and slow ≥ 15 seconds. Receiver operating characteristic curves were used to compare the 3 Timed Up and Go groups to current standard-of-care surgical risk calculators at forecasting postoperative complications.

RESULTS

This study included 272 subjects (mean age of 74 ± 6 years). Slower Timed Up and Go was associated with increased postoperative complications after colorectal (fast 13%, intermediate 29%, and slow 77%; P < 0.001) and cardiac (fast 11%, intermediate 26%, and slow 52%; P < 0.001) operations. Slower Timed Up and Go was associated with increased 1-year mortality following both colorectal (fast 3%, intermediate 10%, and slow 31%; P = 0.006) and cardiac (fast 2%, intermediate 3%, and slow 12%; P = 0.039) operations. Receiver operating characteristic area under curve of the Timed Up and Go and the risk calculators for the colorectal group was 0.775 (95% CI: 0.670-0.880) and 0.554 (95% CI: 0.499-0.609), and for the cardiac group was 0.684 (95% CI: 0.603-0.766) and 0.552 (95% CI: 0.477-0.626).

CONCLUSIONS

Slower Timed Up and Go forecasted increased postoperative complications and 1-year mortality across surgical specialties. Regardless of operation performed, the Timed Up and Go compared favorably to the more complex risk calculators at forecasting postoperative complications.

Calculating risks: the power and pitfalls of registry data

Schoenfeld AJ, Carey PA, Cleveland AW III, et al. Patient factors, comorbidities, and surgical characteristics that increase mortality and complication risk after spinal arthrodesis: a prognostic study based on 5,887 patients. Spine J 2013;13:1171-79 (in this issue).

The impact of race on outcomes following emergency surgery: an American College of Surgeons National Surgical Quality Improvement Program assessment

BACKGROUND

Despite significant evolutions in health care, outcome discrepancies exist among demographic cohorts. We sought to determine the impact of race on emergency surgery outcomes.

METHODS

This is a retrospective review of the American College of Surgeons National Surgical Quality Improvement Program database (2005 through 2009) for all patients aged ≥16 years undergoing emergency abdominal surgery. Primary outcomes included morbidity and mortality.

RESULTS

We identified 75,280 patients (mean age 48.2 ± 19.9 years, 51.7% female; 79% white, 9.9% black, 5.0% Hispanic, 3.7% Asian, 1.3% American Indian or Alaskan, .2% Pacific Islander). Annual rates of emergency operations ranged from 7.3% to 8.5% (P = .22). The overall complication (18.6%) and mortality rate (4.6%) was highest in the black population (24.3%, 5.3%) followed by whites (18.7%, 4.6%), with the lowest rate in Hispanic (11.7%, 1.8%) and Pacific Islander populations (10.2%, 1.8%; P < .001). Compared with whites, blacks had a 1.25-fold (1.17 to 1.34; P < .001) increased risk of complications, but similar mortality (P = .168). When combining minorities, overall complications were 1.059-fold (1.004 to 1.12; P = .034) higher, however, mortality was reduced 1.7-fold (1.07 to 1.34; P = .001).

CONCLUSIONS

Following emergency abdominal surgery, minority race is independently associated with increased complications and reduced mortality.

American College of Surgeons NSQIP: quality in-training initiative pilot study

BACKGROUND

Clinical outcomes data are playing an increasingly important role in medical decision-making, reimbursement, and provider evaluation, but there are no documented programs that provide outcomes data to surgical residents as part of a structured curriculum. Our objectives were to develop a national collaborative of training programs to unify the efforts between quality and education personnel and demonstrate the feasibility of generating customized reports of patient outcomes for use in surgical education.

STUDY DESIGN

The pool of potential hospitals was evaluated by comparing ACS NSQIP participants with the roster of clinical sites for general surgery residency programs maintained by FREIDA Online. A program and user guide was developed to generate custom reports based on institutional data, and a voluntary pilot was conducted, consisting of initial development, implementation, and feedback stages. Programs that successfully completed installation and report generation were queried for feedback on time and resources used.

RESULTS

Of 245 general surgery residency programs, 47% had a NSQIP-affiliated sponsor institution, and an additional 31% had at least 1 NSQIP-affiliated participant institution. Sixty general surgery residency programs have expressed interest in collaboration. Seventeen pilot sites completed training and installation, and were able to independently generate custom reports. The response rate for the post-report survey was 50%. Participants reported that training and installation typically required one 2-hour phone call, and that total time devoted to the project was less than 8 hours.

CONCLUSIONS

Collaboration between educators and quality improvement personnel from a diverse group of organizations to integrate outcomes data into surgical education is feasible. Obtaining resident and team reports from ACS NSQIP can be done with minimal effort. Future efforts will be aimed at developing a national data-centered curriculum for general surgery programs.

Safety of outpatient laparoscopic cholecystectomy in the elderly: analysis of 15,248 patients using the NSQIP database

BACKGROUND

Studies have shown that laparoscopic cholecystectomy (LC) in an ambulatory setting is a safe alternative to the traditional overnight hospital stay. However, there are limited data on the morbidity and mortality of outpatient LC in elderly patients. We evaluated the safety of ambulatory LC in the elderly and identified risk factors that predict inpatient admission.

STUDY DESIGN

A retrospective analysis was performed using the American College of Surgeon's NSQIP database between 2007 and 2010. The database was searched for patients older than 65 years of age who underwent elective LC at all participating hospitals in the United States. Data from 15,248 patients were collected and we compared patients who underwent ambulatory procedures with those patients who were admitted for an inpatient stay.

RESULTS

Seven thousand four hundred and ninety-nine (48.9%) patients were ambulatory and 7,799 (51.1%) were nonambulatory. Postoperative complications included mortality (0.2% vs 1.5%; p < 0.001), stroke (0.1% vs 0.3%; p < 0.001), myocardial infarction (0.1% vs 0.6%; p < 0.001), pulmonary embolism (0.1% vs 0.3%; p = 0.005), and sepsis (0.2% vs 0.7%; p < 0.001) for ambulatory and nonambulatory cases, respectively. We identified significant independent predictors of inpatient admission and mortality, including congestive heart failure, American Society of Anesthesiologists class 4, bleeding disorder, and renal failure requiring dialysis.

CONCLUSIONS

We believe ambulatory LCs are safe in elderly patients as demonstrated by low complication rates. We identified multiple risk factors that might warrant inpatient hospital admission.

Risk factors for postoperative wound infections and prolonged hospitalization after ventral/incisional hernia repair

PURPOSE

The purpose of this study was to identify predictive factors for postoperative surgical site infections (SSIs), and increased length of hospital stay (LOS) after ventral/incisional hernia repair (VIHR) using multi-center, prospectively collected data.

STUDY DESIGN

Cases of VIHR from 2009 to 2010 were identified in the American College of Surgeons National Surgical Quality Improvement Program database. Using logistic regression, a prediction model utilizing 41 variables was developed to identify risk factors for postoperative SSIs, and increased LOS. Separate analyses were carried out for reducible and incarcerated/strangulated cases.

RESULTS

A total of 28,269 cases of VIHR were identified, 25,172 of which met inclusion criteria. 18,263 cases were reducible hernias, and 6,909 cases were incarcerated/strangulated hernias. Our prediction model demonstrated that body mass index ≥30 kg/m(2), smoking, American Society of Anesthesiology (ASA) class 3, open surgical approach, prolonged operative times, and inpatient admission following VIHR were significant predictors of postoperative SSIs. In addition, risk factors associated with prolonged LOS included older age, African American ethnicity, history of alcohol abuse, ASA classes 3 and 4, poor functional status, operation within the last 30 days of the index operation, history of chronic obstructive pulmonary disease, congestive heart failure, and bleeding disorder, as well as open surgical approach, non-involvement of residents, prolonged operative times, recurrent hernia, emergency operation, and low preoperative serum albumin level.

CONCLUSIONS

Obesity and smoking are modifiable risk factors for SSIs after VIHR, whereas a low serum albumin level is a modifiable risk factor for prolonged LOS. Addressing factors preoperatively might improve patient outcome, and reduce health care expenditures associated with VIHR. In addition, if feasible, the laparoscopic approach should be strongly considered.

Surgical complications impact patient perception of hospital care

BACKGROUND

Public reporting of the Hospital Consumer Assessment of Healthcare Providers and Systems survey is designed to produce data on patients' perceptions of the quality of hospital care. The aim of this study was to assess the impact of complications on patient responses to Hospital Consumer Assessment of Healthcare Providers and Systems "top-box" (most favorable) scores.

STUDY DESIGN

All patients who underwent a colorectal procedure from October 2009 to June 2012 at a single center were included. Patient complications were categorized as major, minor, or no complications and "surgical technique" or "medical." Chi-square and Wilcoxon rank sum tests were used to compare binary and ordinal top-box scores, respectively.

RESULTS

One thousand four hundred and nine surveys were collected for 1,233 patients (mean age 53 ± 15.7 years; 701 [52.2%] females) who underwent 955 (67.8%) major abdominal, 114 (8.1%) anorectal, and 340 (24.1%) stoma-related operations. There were 195 (13.8%) major and 396 (28.1%) minor complications. There were 159 (11.3%) technique complications and 411 (29.2%) medical complications. Patients without any complications were more likely to recommend the hospital than those with complications (p = 0.023) irrespective of type of complication (minor vs major; p = 0.72 or technique vs medical; p = 0.5). Responsiveness of hospital staff was also reported as higher for patients without complications (p = 0.0003) and the type of complication did not influence this assessment (minor vs major; p = 0.71 and technique vs medical; p = 0.95).

CONCLUSIONS

The occurrence of any complication after colorectal surgery adversely impacts patients' self-reported perceptions of hospital care as measured by Hospital Consumer Assessment of Healthcare Providers and Systems. An instrument that more accurately reflects patients' assessment of quality in the context of variations in patient, disease, and surgical factors is required.

Hemoglobin A1C as a marker for surgical risk in diabetic patients undergoing total joint arthroplasty

Diabetes is a risk factor for complications following total joint arthroplasty (TJA). This retrospective cohort study of 6088 diabetic patients from the Veterans Health Administration (VHA) undergoing TJA sought to determine if hemoglobin A1c, an accessible and objective lab value, has utility as a predictor of risk of complications in TJA after controlling for demographic, surgical, and medical center effects, and to evaluate the benefits and risks of alternative thresholds. Analysis of the functional relationship between hemoglobin A1c and complications revealed that the risk linearly increases through, rather than surging at, the threshold of 7%. Before delaying surgery to achieve better diabetic control, surgeons and patients should weigh the estimated risks of TJA against the potential benefits.

Racial disparities in the use of outpatient mastectomy

BACKGROUND

Racial disparities exist within many domains of cancer care. This study was designed to identify differences in the use of outpatient mastectomy (OM) based on patient race.

METHODS

We identified patients in the American College of Surgeons National Surgical Quality Improvement Program Participant Use File (during the years 2007-2010) who underwent a mastectomy. The association between mastectomy setting, patient race, patient age, American Society of Anesthesiology physical status classification, functional status, mastectomy type, and hospital teaching status was determined using the chi-square test. A multivariable logistic regression analysis was developed to assess the relative odds of undergoing OM by race, with adjustment for potential confounders.

RESULTS

We identified 47,318 patients enrolled in the American College of Surgeons National Surgical Quality Improvement Program Participant Use File who underwent a mastectomy during the study time frame. More than half (62.6%) of mastectomies were performed in the outpatient setting. All racial minorities had lower rates of OM, with 63.8% of white patients; 59.1% of black patients; 57.4% of Asian, Native Hawaiian, or Pacific Islander patients; and 43.9% of American Indian or Alaska Native patients undergoing OM (P < 0.001). After adjustment for multiple confounders, black patients, American Indian or Alaska Native patients, and those of unknown race were all less likely to undergo OM (odds ratio [OR], 0.86; 95% confidence interval [CI], 0.80-0.93; OR, 0.55; 95% CI, 0.41-0.72; and OR, 0.70; 95% CI, 0.64-0.76, respectively) compared with white patients.

CONCLUSIONS

Disparities exist in the use of OM among racial minorities. Further studies are needed to identify the role of cultural preferences, physician attitudes, and insurer encouragements that may influence these patterns of use.

Using AHRQ patient safety indicators to detect postdischarge adverse events in the Veterans Health Administration

Patient safety indicators (PSIs) use inpatient administrative data to flag cases with potentially preventable adverse events (AEs) attributable to hospital care. This study explored how many AEs the PSIs identified in the 30 days post discharge. PSI software was run on Veterans Health Administration 2003-2007 administrative data for 10 recently validated PSIs. Among PSI-eligible index hospitalizations not flagged with an AE, this study evaluated how many AEs occurred within 1 to 14 and 15 to 30 days post discharge using inpatient and outpatient administrative data. Considering all PSI-eligible index hospitalizations, 11 141 postdischarge AEs were identified, compared with 40 578 inpatient-flagged AEs. More than 60% of postdischarge AEs were detected within 14 days of discharge. The majority of postdischarge AEs were decubitus ulcers and postoperative pulmonary embolisms or deep vein thromboses. Extending PSI algorithms to the postdischarge period may provide a more complete picture of hospital quality. Future work should use chart review to validate postdischarge PSI events.

Assessing the impact of an ageing population on complication rates and in-patient length of stay

BACKGROUND

Ireland has an ageing population; with the proportion of people aged over 80 years estimated to increase over the next 20 years from 1.1% to 2.1%.

AIMS

The aim of this study was to examine the demographics of the population served by the surgical department in a tertiary referral centre in the west of Ireland and to examine whether increasing age had an influence on morbidity, mortality and length of stay.

METHODS

Data pertaining to all surgical admissions over a 6-month period between was collected prospectively using an ACS-NSQIP based proforma. Data collected included patient age, gender, operative intervention, in-patient length of stay, mode of admission and complications related to their admission.

RESULTS

A total of 2209 patients were admitted under the care of the general, vascular and breast services in our centre over a 6-month period between August and January. Two thousand and nineteen patients had complete data collected. The average age was 50.37 years (± 23.62), with 24.12% (n = 533) older than 70 years. Only 12.31% of patients aged younger than 70 years experienced morbidity, compared to 25.10% of older patients. It was shown that there was a stepwise increase with complication rates and hospital in-patient stay across each decade of increasing age. Multivariate analysis showed those factors most predictive of a complication to include emergency admission, major or complex major surgical intervention, female gender and age. Length of stay was also found to have a positive correlation with increasing age (Spearman's Rho, p < 0.001).

CONCLUSION

Increasing age is associated with increased complication rates and increased hospital length of stay.

Exploring the frontier of electronic health record surveillance: the case of postoperative complications

BACKGROUND

The aim of this study was to build electronic algorithms using a combination of structured data and natural language processing (NLP) of text notes for potential safety surveillance of 9 postoperative complications.

METHODS

Postoperative complications from 6 medical centers in the Southeastern United States were obtained from the Veterans Affairs Surgical Quality Improvement Program (VASQIP) registry. Development and test datasets were constructed using stratification by facility and date of procedure for patients with and without complications. Algorithms were developed from VASQIP outcome definitions using NLP-coded concepts, regular expressions, and structured data. The VASQIP nurse reviewer served as the reference standard for evaluating sensitivity and specificity. The algorithms were designed in the development and evaluated in the test dataset.

RESULTS

Sensitivity and specificity in the test set were 85% and 92% for acute renal failure, 80% and 93% for sepsis, 56% and 94% for deep vein thrombosis, 80% and 97% for pulmonary embolism, 88% and 89% for acute myocardial infarction, 88% and 92% for cardiac arrest, 80% and 90% for pneumonia, 95% and 80% for urinary tract infection, and 77% and 63% for wound infection, respectively. A third of the complications occurred outside of the hospital setting.

CONCLUSIONS

Computer algorithms on data extracted from the electronic health record produced respectable sensitivity and specificity across a large sample of patients seen in 6 different medical centers. This study demonstrates the utility of combining NLP with structured data for mining the information contained within the electronic health record.

Which adverse events are associated with mortality and prolonged length of stay following colorectal surgery?

INTRODUCTION

There has been increased attention focused on reducing postoperative length of stay and mortality following colorectal surgery. We sought to identify adverse events associated with prolonged length of stay and mortality.

METHODS

We evaluated postoperative "adverse events," prolonged length of stay, and mortality within 30 days of colorectal surgery in the National Surgical Quality Improvement Program (NSQIP) hospitals from January 2005 through December 2008. We then used multivariate models to establish the associations between adverse events and prolonged length of stay and mortality.

RESULTS

A total of 54,237 patients underwent colorectal surgery: 39,980 (74 %) experienced no postoperative adverse events, while 14,257 (26 %) experienced one or more adverse events. Length of stay was prolonged (longer than 10 days) in 38 % of patients who experienced a postoperative adverse event and in 15 % of patients without events. Mortality increased with the number of postoperative adverse events. In multivariate models including preoperative comorbidity, patient risk factors, and adverse events, patients who experienced a cardiac arrest, septic shock, stroke, myocardial infarction, and/or renal failure were at highest odds of dying within 30 days of surgery.

CONCLUSIONS

Patients with cardiac arrest, septic shock, stroke, myocardial infarction, and/or renal failure are at highest risk of mortality following colorectal surgery.

Simple frailty score predicts postoperative complications across surgical specialties

BACKGROUND

Our purpose was to determine the relationship between preoperative frailty and the occurrence of postoperative complications after colorectal and cardiac operations.

METHODS

Patients 65 years or older undergoing elective colorectal or cardiac surgery were enrolled. Seven baseline frailty traits were measured preoperatively: Katz score less than or equal to 5, Timed Up and Go test greater than or equal to 15 seconds, Charlson Index greater than or equal to 3, anemia less than 35%, Mini-Cog score less than or equal to 3, albumin less than 3.4 g/dL, and 1 or more falls within 6 months. Patients were categorized by the number of positive traits as follows: nonfrail: 0 to 1 traits, prefrail: 2 to 3 traits, and frail: 4 or more traits.

RESULTS

Two hundred one subjects (age 74 ± 6 years) were studied. Preoperative frailty was associated with increased postoperative complications after colorectal (nonfrail: 21%, prefrail: 40%, frail: 58%; P = .016) and cardiac operations (nonfrail: 17%, prefrail: 28%, frail: 56%; P < .001). This finding in both groups was independent of advancing age. Frail individuals in both groups had longer hospital stays and higher 30-day readmission rates. Receiver operating characteristic curves examining frailty's ability to forecast complications were colorectal (.702, P = .004) and cardiac (.711, P < .001).

CONCLUSIONS

A simple preoperative frailty score defines older adults at higher risk for postoperative complications across surgical specialties.

Resident education in the era of patient safety: a nationwide analysis of outcomes and complications in resident-assisted oncologic surgery

BACKGROUND

Complex, oncologic surgery is an important component of resident education. Our objective was to evaluate the impact of resident participation in oncologic procedures on overall 30-day morbidity and mortality.

METHODS

A retrospective cohort analysis was performed using the National Surgical Quality Improvement Program Participant User Files for 2005-2009. Colorectal, hepatopancreaticobiliary, and gastroesophageal oncology procedures were included. Multivariate logistic regression was used to assess the impact of trainee involvement on 30-day morbidity and mortality after adjusting for potential confounders.

RESULTS

A total of 77,862 patients were included for analysis, 53,885 (69.2%) involving surgical trainees and 23,977 (30.8%) without trainees. The overall 30-day morbidity was significantly higher in the trainee group [27.2 vs. 21%, adjusted odds ratio (AOR) 1.19, 95% confidence interval (CI) 1.15-1.24, p < 0.0001)]; however, there was significantly lower 30-day postoperative mortality in the trainee group (1.9 vs. 2.1%, AOR 0.87, 95% CI 0.77-0.98, p = 0.02) and significantly lower failure-to-rescue rate (defined as mortality rate among patients suffering one or more postoperative complications) (5.9 vs. 7.6%, AOR 0.79, 95% CI 0.68-0.90, p = 0.001). The overall 30-day morbidity was highest in the PGY 5 level (29%) compared to 24% for PGY 1 or 2 and 23% for PGY 3 (AOR per level increase 1.05, 95% CI 1.03-1.07, p < 0.0001).

CONCLUSIONS

Trainee participation in complex, oncologic surgery is associated with significantly higher rates of 30-day postoperative complications in NSQIP-participating hospitals; however, this effect is countered by overall lower 30-day mortality and improved rescue rate in preventing death among patients suffering complications.

Predicting risk of death in general surgery patients on the basis of preoperative variables using American College of Surgeons National Surgical Quality Improvement Program data

OBJECTIVES

To use the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database to develop an accurate and clinically meaningful preoperative mortality predictor (PMP) for general surgery on the basis of objective information easily obtainable at the patient's bedside and to compare it with the preexisting NSQIP mortality predictor (NMP).

METHODS

Data were obtained from the ACS NSQIP Participant Use Data File (2005 to 2008) for current procedural terminology codes that included open pancreas surgery and open/laparoscopic colorectal, hernia (ventral, umbilical, or inguinal), and gallbladder surgery. Chi-square analysis was conducted to determine which preoperative variables were significantly associated with death. Logistic regression followed by frequency analysis was conducted to assign weight to these variables. PMP score was calculated by adding the scores for contributing variables and was applied to 2009 data for validation. The accuracy of PMP score was tested with correlation, logistic regression, and receiver operating characteristic analysis.

RESULTS

PMP score was based on 16 variables that were statistically reliable in distinguishing between surviving and dead patients (p < 0.05). Statistically significant variables predicting death were inpatient status, sepsis, poor functional status, do-not-resuscitate directive, disseminated cancer, age, comorbidities (cardiac, renal, pulmonary, liver, and coagulopathy), steroid use, and weight loss. The model correctly classified 98.6% of patients as surviving or dead (p < 0.05). Spearman correlation of the NMP and PMP was 86.9%.

CONCLUSION

PMP score is an accurate and simple tool for predicting operative survival or death using only preoperative variables that are readily available at the bedside. This can serve as a performance assessment tool between hospitals and individual surgeons.

Anastomotic leakage as an outcome measure for quality of colorectal cancer surgery

INTRODUCTION

When comparing mortality rates between hospitals to explore hospital performance, there is an important role for adjustment for differences in case-mix. Identifying outcome measures that are less influenced by differences in case-mix may be valuable. The main goal of this study was to explore whether hospital differences in anastomotic leakage (AL) and postoperative mortality are due to differences in case-mix or to differences in treatment factors.

METHODS

Data of the Dutch Surgical Colorectal Audit were used. Case-mix factors and treatment-related factors were identified from the literature and their association with AL and mortality were analysed with logistic regression. Hospital differences in observed AL and mortality rates, and adjusted rates based on the logistic regression models were shown. The reduction in hospital variance after adjustment was analysed with Levene's test for equality of variances.

RESULTS

17 of 22 case-mix factors and 4 of 11 treatment factors related to AL derived from the literature were available in the database. Variation in observed AL rates between hospitals was large with a maximum rate of 17%. This variation could not be attributed to differences in case-mix but more to differences in treatment factors. Hospital variation in observed mortality rates was significantly reduced after adjustment for differences in case-mix.

CONCLUSIONS

Hospital variation in AL is relatively independent of differences in case-mix. In contrast to 'postoperative mortality' the observed AL rates of hospitals evaluated in our study were only slightly affected after adjustment for case-mix factors. Therefore, AL rates may be suitable as an outcome indicator for measurement of surgical quality of care.

Oral antibiotic bowel preparation reduces length of stay and readmissions after colorectal surgery

BACKGROUND

Oral antibiotic bowel preparation (OABP) before colorectal resection has been shown to reduce surgical site infections. We examined whether OABP decreases length of stay (LOS) and readmissions for colorectal surgery.

STUDY DESIGN

This retrospective study used national Veterans Affairs Surgical Quality Improvement Program preoperative risk and outcomes data linked to Veterans Affairs Administrative and Pharmacy Benefits Management data on patients undergoing elective colorectal resections from 2005 to 2009. Exclusion criteria were preoperative LOS >2 days, American Society of Anesthesiologists class 5, or death before discharge. Patient and surgery characteristics, bowel preparation use, presence of an ostomy, indication for surgery, and indication for readmission using ICD-9 codes were determined. Negative binomial regression was used to model LOS. Logistic regression analyses modeled 30-day readmission.

RESULTS

Of the 8,180 patients, 1,161 (14.2%) were readmitted within 30 days. Length of stay and readmissions varied significantly by bowel preparation, procedure, presence of an ostomy, and American Society of Anesthesiologists class. Oral antibiotic bowel preparation was associated with a below-median postoperative LOS (negative binomial regression estimate = -0.1159; p < 0.0001) and fewer 30-day readmissions (adjusted odds ratio = 0.81; 95% CI, 0.68-0.97). Overall, 4.9% were readmitted for infections (ICD-9 codes) and this varied by bowel preparation (no preparation 6.1%, mechanical 5.4%, OABP 3.9%; p = 0.001). The readmission rate for noninfectious reasons was 9.3% and did not differ significantly by bowel preparation (no preparation 9.9%, mechanical 9.6%, OABP 8.8%; p = 0.38).

CONCLUSIONS

Oral antibiotic bowel preparation before elective colorectal surgery is associated with shorter postoperative LOS and lower 30-day readmission rates, primarily due to fewer readmissions for infections. Prospective studies are needed to verify these results.

Two surgeons, one patient: the impact of surgeon-surgeon familiarity on patient outcomes following mastectomy with immediate reconstruction

BACKGROUND

Mastectomy with immediate reconstruction requires the coordination and expertise of two distinct surgeons. This often results in several different combinations of mastectomy and reconstructive surgeons, but with an unknown impact on patient outcomes. We evaluate the effect of different surgical teams on complication rates following mastectomy and immediate reconstruction.

METHODS

Retrospective review of consecutive patients that underwent mastectomy with immediate prosthetic reconstruction from 4/1998 to 10/2008 at one institution was performed. Patients of the three highest-volume mastectomy and reconstructive surgeons were stratified by their individual combination of surgeons, resulting in nine different surgical teams. Complications were categorized by end-outcome. Appropriate statistics, including multiple linear regression, were performed.

RESULTS

Clinical characteristics were similar among patients (n = 511 patients, 699 breasts) with the same mastectomy surgeon but different reconstructive surgeon. Mean follow-up was 38.4 ± 25.7 months. For each mastectomy surgeon, the choice of reconstructive surgeon did not affect complication rates. Furthermore, the combined complication rates of the three highest-volume teams (n = 384 breasts) were similar to the remaining lower-volume teams (n = 315 breasts). Patient factors, but not the individual surgeon or surgical team, were independent risk factors for complications.

DISCUSSION

Our study suggests that among high-volume surgeons, complication rates following mastectomy with immediate reconstruction are not affected by the surgeon-surgeon familiarity. The individual surgeon's expertise, and patient risk factors, may have a greater impact on outcomes than the team's experience with each other. These results validate the efficacy and safety of the surgeon distribution model currently used by many breast surgery practices.

Clinical review: Can we predict which patients are at risk of complications following surgery?

There are a vast number of operations carried out every year, with a small proportion of patients being at highest risk of mortality and morbidity. There has been considerable work to try and identify these high-risk patients. In this paper, we look in detail at the commonly used perioperative risk prediction models. Finally, we will be looking at the evolution and evidence for functional assessment and the National Surgical Quality Improvement Program (in the USA), both topical and exciting areas of perioperative prediction.