The RACHS-1 risk categories reflect mortality and length of stay in a Danish population of children operated for congenital heart disease

Objective: The Risk Adjusted classification for Congenital Heart Surgery (RACHS-1) was created in order to compare in-hospital mortality for groups of children undergoing surgery for congenital heart disease. The method was evaluated with two large multi-institutional data sets—the Paediatric Cardiac Care Consortium (PCCC) and Hospital Discharge (HD) data from three states in the USA. The RACHS-1 classification was later applied to a large German paediatric cardiac surgery population in Bad Oeynhausen (BO), where it was found that the RACHS-1 categories were also associated with length of stay. We applied the RACHS-1 classification to the 957 operations performed during January 1996 to December 2002 at Skejby Sygehus, Denmark and we examined the association between the RACHS-1 categories, in-hospital mortality and length of stay in the Intensive Care Unit. Methods: The operations were classified according to the six RACHS-1 categories by matching the procedure of each patient with a risk category. The ability of the RACHS-1 classification to predict mortality in our population was examined by estimating the area under the receiver operator characteristic (ROC) curve. Likelihood ratio χ² tests were used to compare the distribution of RACHS-1 categories and the distribution of mortality with PCCC, HD and BO. Linear regression was used to examine the correlation between the RACHS-1 categories and length of stay in the Intensive Care Unit. Results: The RACHS-1 category frequencies in our population were: category 1: 18.4%, category 2: 37.4%, category 3: 34.6%, category 4: 8.2%, category 5: 0% and category 6: 1.5%. The overall ability of the RACHS-1 classification to predict in-hospital mortality (area under the ROC curve 0.741; 95% confidence interval = 0.690; 0.791) was equal to the findings from larger populations. We found no differences in the category specific mortality when comparing with the larger reported series. There was a positive association between RACHS-1 category and length of stay in the Intensive Care Unit. Conclusions: The RACHS-1 classification can also be used to predict in-hospital mortality and length of stay in the Intensive Care Unit in a small volume centre.     

The RACHS-1 risk categories reflect mortality and length of hospital stay in a large German pediatric cardiac surgery population.

OBJECTIVES: The Risk Adjusted classification for Congenital Heart Surgery (RACHS-1) was published in January 2002, based on 4370 operations registered by the Pediatric Cardiac Care Consortium. It is designed for being easily applicable also for retrospective analysis of hospital discharge data sets; the classification was not developed for patients with heart transplantations, ventricular assist devices or patients above 18 years. We apply this classification to our 2368 correspondent procedures that were performed consecutively on 2223 patients between June 1996 and October 2002 in Bad Oeynhausen and analyze its relation to mortality and length of hospital stay. METHODS: The procedures were grouped by the 6 RACHS-1 categories. Groping criteria were mainly the performed procedures; for few procedures age or diagnoses are needed in addition. The classification process itself took less than 10 working hours. Risk group frequencies in our/ the PCCC population were 1: 368/964 (15.5%/22.0%), 2: 831/1433 (35.1%/33.1%), 3: 744/1523 (31.4%/34.7%), 4: 284/276 (12.0%/6.3%), 5: 4/4 (0.2%/0.1%), 6: 137/168 (5.3%/3.8%). 18.8%/19.2% were under 1 month, 37.5%/31.6% 1-12 months of age, respectively. RESULTS: Hospital mortality (%) in our population/ the PCCC Group 1-6 was: 0.3/0.4, 4.0/3.8, 5.6/8.5, 9.9/19.4, 50.0/0, 40.1/47.7%. Geometric means of total (13.1, 19.6, 23.5, 29.1, 31.5, 52.6 days, respectively) and postoperative length of stay of survivors show significant differences between the single risk groups. The prediction capacity of the score as expressed by the area under the receiver-operator curve was nearly equal to the value found for the American hospital discharge data sets. Length of stay rises exponentially with the RACHS-1 category. However, the RACHS-1 category explains only 13.5% of the total and 16.8% of individual postoperative lengths of hospital stay in survivors. CONCLUSION: The RACHS-1 classification is applicable to European pediatric populations, too. Category Distribution, outcome class distinction capacity, distribution and mortality are similar. RACHS-1 is able to classify patients into significantly different groups concerning total and postoperative hospital stay duration, although there remains a large variability within the groups.     

Center-specific differences in mortality: preliminary analyses using the Risk Adjustment in Congenital Heart Surgery (RACHS-1) method

OBJECTIVE: We sought to explore the usefulness of the Risk Adjustment in Congenital Heart Surgery method (designated RACHS-1) of adjusting for case-mix differences when comparing institutional mortality after surgery for congenital heart disease. METHODS: By using 1996 hospital discharge data from 6 states, centers performing at least 100 operations for congenital heart disease (patient age <18 years) were identified. Using the RACHS-1 method, procedures were grouped into 6 risk categories, and institutions were ranked in order of increasing mortality rate. A graphic display of ranks by risk category identified patterns of performance. Incorporating age, prematurity, and presence of a major noncardiac structural anomaly into multivariate models allowed computation of an overall risk-adjusted rank for each institution on the basis of its standardized mortality ratio. RESULTS: Among 109 centers performing 7177 operations for congenital heart disease, 22 performed at least 100 cases (72.3% of total operations). Unadjusted mortality rates ranged from 2.5% to 11.4%. A total of 4318 cases could be placed into 1 of the 6 risk categories. Few deaths occurred in risk category 1, and few institutions performed procedures in risk categories 5 and 6, making institutional comparisons in these categories uninformative. Considering mortality rates in categories 2 through 4, institutions displayed either relatively consistent ranks, a threshold increase in mortality as higher-risk procedures were performed, or a threshold decrease in mortality. Standardized mortality ratios indicated which institutions performed better or worse than expected on the basis of their case mix. CONCLUSIONS: The RACHS-1 method can be used to judge relative institutional performance, either by evaluating within-risk-category differences or by comparisons of observed and expected mortality rates.     

Risk stratification in paediatric open-heart surgery.

OBJECTIVE: The aims of this study were to identify independent risk factors for mortality following paediatric open-heart surgery and to develop risk models for use in clinical audit based on identified risk factors. The study also tests the validity of the recently proposed Risk Adjustment in Congenital Heart Surgery (RACHS-1) method of risk stratification as applied to open-heart operations. METHODS: A multiple logistic regression analysis was performed on all patients less than 18 years of age undergoing open-heart surgery at a single institution over a 3-year period. Preoperative and operative variables included for analysis were age at operation, weight, sex, American Society of Anaesthesiology (ASA) grade, RACHS-1 risk category, preoperative haemoglobin, bypass time, temperature, cross-clamp time, circulatory arrest time, blood transfusion on bypass and surgeon. The outcome measure was in-hospital death. RESULTS: 1085 consecutive open-heart cases were identified. There were 51 in-hospital deaths (4.7%). Variables identified as being independently significant risk factors for in-hospital death were age (P = 0.0002), RACHS-1 risk category (P < 0.0001), and bypass time. Based on these three variables, a risk model was constructed to predict mortality. The area under the receiver-operating-characteristic (ROC) curve for this model was 0.86. A second model was constructed ignoring bypass time. In this model, the significance of the 'preoperative' risk factors was (P = 0.0003) for age and (P < 0.0001), for RACHS-1 risk category. The area under the ROC curve was 0.81 for the second model. CONCLUSIONS: This study identifies age at operation, RACHS-1 risk category and bypass time as highly significant risk factors for mortality after paediatric open-heart surgery. It validates the RACHS-1 risk stratification method as applied to the subset of open-heart surgery, whilst accepting the limitations of such a system. The risk models formulated permit risk prediction and allow for analysis of surgical results. Such risk-adjustment is important when assessing performance and comparing outcomes amongst individuals or institutions.     

The RACHS-1 risk category can be a predictor of perioperative recovery in Asian pediatric cardiac surgery patients

Purpose

The Risk Adjustment for Congenital Heart Surgery (RACHS-1) classification was originally designed to facilitate the prediction of in-hospital mortality for pediatric cardiac surgery patients. However, there have been few reports on clinical outcomes predicted by the RACHS-1 category, especially in an Asian population. The aim of this study was to determine whether RACHS-1 classification can predict patient outcomes.

Methods

A total of 580 pediatric cardiac surgery procedures performed from January 2005 to December 2009 were retrospectively classified into the six RACHS-1 categories. The association between RACHS-1 category and clinical outcomes, including length of catecholamine requirement, mechanical ventilation time, intensive care unit stay, and in-hospital mortality, were examined.

Results

The frequencies of RACHS-1 categories in the study population were: category 1, 10.7 %; category 2, 36.7 %; category 3, 42.8 %; category 4, 6.6 %; category 5, 0.0 %; category 6, 3.3 %. There was a significant linear correlation between RACHS-1 category and in-hospital mortality (r = 0.96, p < 0.001). Kaplan–Meier analysis demonstrated that length of catecholamine infusion, mechanical ventilation time, and ICU stay were significantly different (p < 0.05) in the different RACHS-1 categories, except for those between category 4 and 6 (p = 0.09).

Conclusions

Based on the results of our analysis, we conclude that the RACHS-1 stratification system can predict in-hospital mortality and patient outcomes in patients undergoing pediatric cardiac surgery.     

Risk factors for acute renal failure requiring dialysis after surgery for congenital heart disease in children

BACKGROUND: Limited data exist on the risk factors for acute renal failure (ARF) following cardiac surgery in children with congenital heart disease. This cohort study was conducted to examine this subject, as well as changes in the incidence of ARF from 1993 to 2002, the in-hospital mortality and the time spent in the intensive care unit (ICU). METHODS: One thousand, one hundred and twenty-eight children, operated on for congenital heart disease between 1993 and 2002, were identified from our prospectively collected ICU database to obtain data on potential risk factors. RESULTS: A total of 130 children (11.5%) developed ARF after surgery. A young age [> or =1.0 vs. <0.1 year; odds ratio (OR), 0.23; 95% confidence interval (CI), 0.12-0.46], high Risk Adjusted Classification of Congenital Heart Surgery (RACHS-1) score (OR, 2.72; 95% CI, 1.66-4.45) and cardiopulmonary bypass (CPB) (<90 min vs. none; OR, 2.68; 95% CI, 1.03-6.96; > or =90 min vs. none; OR, 12.94; 95% CI, 5.46-30.67) were independent risk factors for ARF. The risk of ARF decreased during the study period. Children with ARF spent a significantly longer time in the ICU (2-7 days vs. <2 days, P = 0.002; > or =7 days vs. <2 days, P < 0.001) compared with non-ARF patients, and showed increased in-hospital mortality (20% vs. 5%, P < 0.001). CONCLUSION: A young age, high RACHS-1 score and CPB were independent risk factors for ARF after surgical procedures for congenital heart disease in children. The risk of ARF decreased during the study period. Children with severe ARF spent a longer time in the ICU, and the mortality in ARF patients was higher than that in non-ARF patients.     

Does the Aristotle Score predict outcome in congenital heart surgery?

Objective: The Aristotle Score has been proposed as a measure of ‘complexity’ in congenital heart surgery, and a tool for comparing performance amongst different centres. To date, however, it remains unvalidated. We examined whether the Basic Aristotle Score was a useful predictor of mortality following open-heart surgery, and compared it to the Risk Adjustment in Congenital Heart Surgery (RACHS-1) system. We also examined the ability of the Aristotle Score to measure performance. Methods: The Basic Aristotle Score and RACHS-1 risk categories were assigned retrospectively to 1085 operations involving cardiopulmonary bypass in children less than 18 years of age. Multiple logistic regression analysis was used to determine the significance of the Aristotle Score and RACHS-1 category as independent predictors of in-hospital mortality. Operative performance was calculated using the Aristotle equation: performance = complexity × survival. Results: Multiple logistic regression identified RACHS-1 category to be a powerful predictor of mortality (Wald 17.7, p < 0.0001), whereas Aristotle Score was only weakly associated with mortality (Wald 4.8, p = 0.03). Age at operation and bypass time were also highly significant predictors of postoperative death (Wald 13.7 and 33.8, respectively, p < 0.0001 for both). Operative performance was measured at 7.52 units. Conclusions: The Basic Aristotle Score was only weakly associated with postoperative mortality in this series. Operative performance appeared to be inflated by the fact that the overall complexity of cases was relatively high in this series. An alternative equation (performance = complexity/mortality) is proposed as a fairer and more logical method of risk-adjustment.     

Predictive value of paediatric risk of mortality score and risk adjustment for congenital heart surgery score after paediatric open-heart surgery

This study compared the performance of risk adjustment for congenital heart surgery (RACHS-1) score with paediatric risk of mortality (PRISM) score in operative risk prediction after open-heart surgery in children. This was a retrospective analysis of a non-selected patient population from the paediatric intensive care unit of Helsinki University Hospital. All consecutive congenital open-heart surgery patients operated in Finland between the years 2000 and 2004, who were under 18 years of age, were included in this retrospective analysis. Predicted probability of mortality was calculated using the published algorithms for RACHS-1 and PRISM. Those were compared with observed mortality at day 30 postoperatively. Of the 1001 patients, 42 patients died (4.2%) within 30 days of open-heart surgery. The discrimination power, evaluated by AUC (area under curve) for RACHS-1 was moderate: 0.74 (95% CI 0.66-0.82). The AUC-value for PRISM was poor, namely 0.66 (95% CI 0.57-0.75). Both risk scoring systems overestimated the mortality with calculated standardised mortality ratios (SMR) of 0.48 for PRISM and 0.39 for RACHS-1. With only a moderate discriminating AUC, RACHS-1 failed to adequately predict death after paediatric open-heart surgery. The predictive power of PRISM in this patient group was poor. Both scores overestimated the actual mortality rate.     

Variation in extubation failure rates after neonatal congenital heart surgery across Pediatric Cardiac Critical Care Consortium hospitals

Objective

In a multicenter cohort of neonates recovering from cardiac surgery, we sought to describe the epidemiology of extubation failure and its variability across centers, identify risk factors, and determine its impact on outcomes.

Clinical outcome in children with acute renal failure treated with peritoneal dialysis after surgery for congenital heart disease

The present single-center cohort study was based on a clinical intensive care unit database containing data on 1128 consecutive children undergoing their first operation for congenital heart disease between 1993 and 2002 at Aarhus University Hospital, Skejby, Denmark. A total of 130 (11.5%) children developed postoperative acute renal failure (ARF) managed with peritoneal dialysis (PD). Logistic regression analysis was used to examine risk factors for complications related to PD and to compare mortality between ARF and non-ARF patients controlling for potential confounding factors. A total of 43 complications related to PD were registered in 27 (20.8%) patients. Major complications were seen in eight (6.2%) patients, and only two (1.5%) patients were switched to hemodialysis after peritonitis and hemicolectomy due to bowel perforation. The main risk factors for complications to PD were duration of PD, high RACHS-1 score (Risk Adjusted Classification for Congenital Heart Surgery), and hyperkalemia at initiation of PD. Overall, in-hospital mortality was 6.8% (76/1128). Mortality of ARF patients was 20.0% compared to 5.0% among non-ARF patients (adjusted odds ratio=1.91, 95% confidence interval=1.10-3.36). After stratification, ARF was strongly associated with increased mortality in the subgroups of patients with the lowest overall risk of dying (age> or =1 year, body weight> or =5 kg, RACHS-1 score <3, and no preoperative cyanosis). For patients at high risk of dying (age <1 year, body weight <5 kg, RACHS-1 score> or =3, cardiopulmonary bypass time> or =60 min, and preoperative cyanosis), the association between ARF and mortality was substantially weaker. In conclusion, postoperative ARF was associated with increased mortality in children operated for congenital heart disease. Major complications to PD were few, and our data strongly support that PD is a simple, safe, feasible, and robust dialysis modality for the management of ARF in children.     

Should older patients be selectively referred to high-volume centers for abdominal aortic surgery?

The objective of the current study was to determine the effect of hospital volume on outcomes of abdominal aortic surgery for patients older than and younger than 65 years. In order to perform this investigation, information on all adult patients who underwent abdominal aortic surgery in Maryland from 1994 to 1996 (N = 2,987 patients) in 45 acute care hospitals was obtained. Hospitals were designated as low (< 20/year), medium (20 to 36/year), or high (> 36/year) volume according to the annual number of procedures performed. The relationship of hospital volume and mortality was determined for patients less than or greater than 65 years old. Two separate multiple logistic regression models were used to adjust for patient case-mix in each age category. Of the 2,987 patients, 2,067 (69%) were older than 65 years and 920 (31%) were younger. The crude in-hospital mortality rates according to hospital volume were 2.7% (low), 2.1% (medium), and 2.7% (high) for patients younger than 65 years old (p = .8). For patients older than 65 years, in-hospital mortality rates were 11.9% (low), 9.9% (medium), and 6.9% (high) (p = .005). After adjusting for patient case-mix in a multivariate analysis, high hospital volume was associated with a decreased risk of in-hospital mortality for patients older than 65 years (OR 0.57; 95% CI 0.37 to 0.86; p = .008) but not for patients under 65 years old. In conclusion, hospital volume was associated with decreased in-hospital mortality after abdominal aortic surgery only for patients greater than 65 years old. Because of this differential effect, targeting elderly patients for regionalization would achieve most potentially avoidable deaths for this common high-risk surgical procedure.     

Variations in complication rates and opportunities for improvement in quality of care for patients having abdominal aortic surgery

BACKGROUND: The purpose was to assess the current variation in complication rates and evaluate the association between specific types of complications and in-hospital mortality and total hospital charges for patients having abdominal aortic surgery. PATIENTS/METHODS: We studied 2987 patients for abdominal aortic surgery in Maryland from 1994 to 1996 and used discharge diagnoses and procedure codes to identify diagnoses that most likely represent major surgery complications. We evaluated how in-hospital mortality and total hospital charges related to specific complications, adjusting for patient demographics, severity of illness, comorbidity, and hospital and surgeon volumes. Discharge data was obtained from the hospital marketing departments. RESULTS: Complication rates varied widely among hospitals. Complications independently associated with increased risk of in-hospital death include cardiac arrest with an odds ratio (OR) of 90 and a 95% confidence interval (CI) of 32-251, septicemia (OR 6.1, CI 3.3-11.3), acute myocardial infarction (OR 5.7, CI 2.3-14.3), acute renal failure (OR 5.0, CI 2.3-11.0), surgical complications after a procedure (OR 3.1, CI 2.0-4.9), and reoperation for bleeding (OR 2.2, CI 1.1-4.8). The population-attributable risk for in-hospital mortality was 47% for cardiac arrest and 27% for acute renal failure. CONCLUSIONS: In abdominal aortic surgery on patients in Maryland, the rates of some complications vary widely and are independently associated with increased in-hospital mortality and hospital charges (charges differ from costs). Efforts to reduce these complications should help to decrease both levels.     

Stratification of complexity in congenital heart surgery: comparative study of the Risk Adjustment for Congenital Heart Surgery (RACHS-1) method, Aristotle basic score and Society of Thoracic Surgeons-European Association for Cardio- Thoracic Surgery (STS-EACTS) mortality score

Objective

To determine whether stratification of complexity models in congenital heart surgery (RACHS-1, Aristotle basic score and STS-EACTS mortality score) fit to our center and determine the best method of discriminating hospital mortality.

Methods

Surgical procedures in congenital heart diseases in patients under 18 years of age were allocated to the categories proposed by the stratification of complexity methods currently available. The outcome hospital mortality was calculated for each category from the three models. Statistical analysis was performed to verify whether the categories presented different mortalities. The discriminatory ability of the models was determined by calculating the area under the ROC curve and a comparison between the curves of the three models was performed.

Results

360 patients were allocated according to the three methods. There was a statistically significant difference between the mortality categories: RACHS-1 (1) - 1.3%, (2) - 11.4%, (3)-27.3%, (4) - 50 %, (P<0.001); Aristotle basic score (1) - 1.1%, (2) - 12.2%, (3) - 34%, (4) - 64.7%, (P<0.001); and STS-EACTS mortality score (1) - 5.5 %, (2) - 13.6%, (3) - 18.7%, (4) - 35.8%, (P<0.001). The three models had similar accuracy by calculating the area under the ROC curve: RACHS-1- 0.738; STS-EACTS-0.739; Aristotle- 0.766.

Conclusion

The three models of stratification of complexity currently available in the literature are useful with different mortalities between the proposed categories with similar discriminatory capacity for hospital mortality.     

Carotid endarterectomy utilization and mortality in 10 states

BACKGROUND: Studies that examined the rates of and mortality after carotid endarterectomy (CEA) mainly were confined to a limited geographical location or population. The primary purposes of this study are to examine the variation of risk-adjusted in-hospital mortality rates after CEA in 10 states, and utilization rates per capita of CEA. METHODS: An analysis was made of hospital discharge data from 10 states extracted from the Agency for Health Research and Quality national database, Healthcare Cost and Utilization Project (HCUP). RESULTS: The rates of CEA per capita were found to differ among the 10 states examined. No significant association was detected between geographic location and the adjusted risk of in-hospital mortality. Sex, age, type of admission, and several comorbidities were found to be significant risk factors. CONCLUSIONS: Rates of CEA per capita differ among states. However, geographical location does not affect the likelihood of risk-adjusted mortality after the procedure.     

Hospital discharge to other healthcare facilities: impact on in-hospital mortality

BACKGROUND: In-hospital mortality is frequently used as an outcomes measure for surgical procedures. Recently, hospitals have developed subacute care facilities to allow earlier discharge. Outcomes of patients discharged (transferred) to these units or to other similar facilities may not be captured in reports of in-hospital mortality. STUDY DESIGN: The California Office of Statewide Health Planning and Development (OSHPD) patient discharge abstract database was examined to determine the rates of discharge to other facilities (transfer) and the number of in-hospital deaths occurring during the index hospitalization and after transfer in patients undergoing cardiac surgery procedures. Data were collected for 1997, 1998, and 1999 for coronary artery bypass grafting (CABG-only, n = 82,897), CABG plus additional procedures (CABG-plus, n = 11,869), and valve repair or replacement (Valve-only, n = 14,872). In-hospital mortality and transfer rates (same-day discharge and readmission to another facility) were determined for all hospitals through the index hospitalization and subsequent transfers. RESULTS: Aggregated 3-year in-hospital mortality rates for the index hospitalization were 2.98% for CABG-only, 9.25% for CABG-plus, and 4.85% in Valve-only groups. Transfer rates were 12.41%, 23.16%, and 13.43%, respectively. The percentages of all in-hospital deaths occurring after transfer from the index hospital were 13.5% (385 of 2,857) in CABG-only, 13.3% (168 of 1,266) in CABG-plus, and 11.0% (89 of 811) in Valve-only patients. When corrected for these additional deaths, the actual in-hospital mortality rate was 3.45% for CABG-only, 10.67% for CABG-plus, and 5.45% for Valve-only procedures. CONCLUSIONS: Transfer to another healthcare facility rather than discharge home is a common practice after cardiac surgery. A substantial percentage of in-hospital deaths occurs after discharge from the primary institution.     

Mortality after aortic valve replacement: results from a nationally representative database

Background. Nationally representative estimates of in-hospital mortality after aortic valve replacement are needed to evaluate whether results from The Society of Thoracic Surgeons National Cardiac Surgery Database are applicable to other institutions in the United States performing these procedures.

Methods. Data from the 1994 Nationwide Inpatient Sample were used to estimate the patient characteristics and in-hospital mortality rates associated with aortic valve replacements performed in nonfederal hospitals in the United States. Procedural and hospital characteristics were examined for possible associations with in-hospital mortality.

Results. An estimated 46,397 aortic valve replacements were performed. In-hospital mortality occurred in 4.3% of first-time isolated aortic valve replacements and 6.4% overall. The highest quartile of procedure-specific hospital volume, compared with the lowest quartile, was associated with lower in-hospital mortality (adjusted odds ratio, 0.58; 95% confidence interval, 0.42 to 0.81).

Conclusions. The in-hospital mortality rates observed in this study are very similar to those reported from The Society of Thoracic Surgeons database. These data provide substantial evidence that results from The Society of Thoracic Surgeons database are representative of those achieved at other institutions. However, procedure-specific hospital volume must be considered in applying these results to individual institutions.     

Toward optimal recording of surgical complications: concurrent tracking compared to the discharge data set

BACKGROUND: Information extracted from the hospital discharge data set is used increasingly for outcomes research and for benchmarking hospital and provider performance. The accuracy of these data in detecting vascular complications has never been validated. METHODS: We compared morbidity and mortality data derived from the hospital discharge data set to similar data recorded concurrently by our Surgical Activity Tracking System (SATS) for 1 year on the vascular surgery service. RESULTS: Of 798 total admissions, no complications were detected by either system in 598 admissions (75%). In 200 admissions (25%), there were 335 complications, including 24 deaths (3.0%), that occurred either in-hospital or within 30 days of the date of operation or the date of discharge for nonoperative admissions. Of the 335 complications, 180 (53.7%) were recorded by both systems; the SATS missed 59 complications recorded in the hospital discharge data set (17.6%), whereas the hospital discharge data set missed 96 complications recorded in the SATS (28.7%, P = .003). Of the 289 in-hospital complications, the SATS recorded 230 (79.5%), whereas the hospital discharge data set recorded 229 (79.2%). Of the 24 deaths, the hospital discharge data set missed 6 that occurred after discharge but within the 30-day reporting period CONCLUSIONS: Both systems are not completely accurate for tracking inpatient complications. The SATS was more representative than the hospital discharge data set in capturing 30-day morbidity and mortality. An amalgamation of the 2 systems would provide more optimal tracking of complications.     

Cardiac surgery in the Pacific Islands

Background: Rheumatic heart disease constitutes a significant disease burden in under‐resourced communities. Recognition of the devastating impact of rheumatic heart disease has resulted in volunteer cardiac teams from Australasia providing surgical services to regions of need. The primary objective of this study was to compare New Zealand hospitals' volunteer cardiac surgical operative results in Samoa and Fiji with the accepted surgical mortality and morbidity rates for Australasia. Methods: A retrospective review from seven volunteer cardiac surgical trips to Samoa and Fiji from 2003 to 2009 was conducted. Patient data were retrospectively and prospectively collected. Preoperative morbidity and mortality risk were calculated using the European System for Cardiac Operative Risk Evaluation (euroSCORE). Audit data were collated in line with the Australasian Society of Cardiac and Thoracic Surgeons guidelines. Results: One hundred and three operations were performed over 6 years. EuroSCORE predicted an operative mortality of 3.32%. In‐hospital mortality was 0.97% and post‐discharge mortality was 2.91%, resulting in a 30‐day mortality of 3.88%. Conclusion: This study demonstrated that performing cardiac surgery in Fiji and Samoa is viable and safe. However, the mortality was slightly higher than predicted by euroSCORE. Difficulties exist in predicting mortality rates in patients with rheumatic heart disease from Pacific Island nations as known risk scoring models fail to be disease, ethnically or culturally inclusive. Audit processes and risk model development and assessment are an essential part of this complex surgical charity work and will result in improved patient selection and outcomes.     

Cardiac Medical Therapy among Patients Undergoing Abdominal Aortic Aneurysm Repair

Open abdominal aortic aneurysm (AAA) repair is a common surgical procedure associated with high mortality rates. Our objective was to describe the use of in-hospital cardiac medical therapy among patients undergoing open AAA repair and to examine the effect of perioperative cardiac medical therapy on in-hospital mortality. We examined clinical data and in-hospital medication use among 223 patients who underwent open AAA repair at three North American hospitals, all of which used the Transition resource and cost accounting system. Medication use was described [angiotensin converting enzyme (ACE) inhibitors, aspirin, ss-blockers, and statins] within the cohort at five specific periods of time: presurgery, day of surgery, 1 day after surgery, postsurgery, and discharge. We then performed a matched case-control study where cases were defined as patients who died in-hospital. We compared medication use between cases and controls to assess its impact on in-hospital mortality. Most patients were elderly (mean age 72.5 +/- 9.8 years), 70.4% were male, and in-hospital mortality within the cohort was 10.8%. Medication use in all periods of administration was low. ss-Blocker use was highest among all classes on the day of surgery, with 20.6% of patients undergoing AAA repair receiving the medication. Less than 50% of patients received any of the medications at discharge. After adjusting for baseline differences, perioperative ACE inhibitor use showed a trend toward a protective effect [odds ratio (OR) = 0.09, 95% confidence interval (CI) 0.01-1.31, p = 0.08], and perioperative ss-blocker use was significantly associated with a decrease in mortality (OR = 0.07, 95% CI 0.01-0.87, p = 0.04). Cardiac medical therapy among patients undergoing AAA repair is low throughout all periods of hospitalization. ACE inhibitor and ss-blocker use may be associated with decreased in-hospital mortality.     

Impact of hospital and surgeon volume on in-hospital mortality from radical cystectomy: data from the health care utilization project

PURPOSE: We determined the influence of hospital and surgeon volume on various outcome parameters after radical cystectomy for bladder cancer. MATERIALS AND METHODS: All inpatient discharges after radical cystectomy for bladder cancer (1988 to 1999) from the Health Care Utilization Project-Nationwide Inpatient Sample were included in the analysis. Hospital and individual surgeon volume of discharges per year were separated into terciles. Outcome measures were in-hospital mortality, length of stay (LOS), and inflation adjusted charge per admission. Mortality was compared among hospital volume levels using the Mantel-Haenszel chi-square test while the LOS and charges were compared using ANOVA. Multivariate linear and logistic regression analyses were used to adjust for confounding factors. All the analyses were also performed in 3 different age strata (younger than 50 years, 50 to 69 years and 70 years or more). RESULTS: There were 13,964 patients who underwent radical cystectomy. Overall in-hospital mortality was 408 of 13,964 (2.9%), average LOS was 14 days (+/- SD 10.28) and average charges were 47,146 dollars (+/- SD 45,263 dollars). In-hospital mortality was significantly associated with higher volume particularly for patients older than 50 years. Surgeon volume did not influence in-hospital mortality except for patients in the 50 to 69-year-old age group. Results of multivariate regression analysis demonstrated hospital volume was a significant predictor of in-hospital mortality but this effect was lost when controlling for surgeon volume. LOS was significantly higher for low volume surgeons. High volume hospitals had lower average total charges compared with the low and moderate volume hospitals. CONCLUSIONS: Hospital and surgeon volume have a significant impact on in-hospital mortality and LOS after radical cystectomy. Radical cystectomy performed at a higher volume center may result in lower charges and shorter hospital stay while decreasing the likelihood of in-hospital mortality.