INTRODUCTION: Controversy exists as to whether patients with stage IV gastric cancer should undergo surgical resection. We examined the association of gastrectomy with survival in this population. METHODS: Stage IV gastric cancer diagnoses were identified using the SEER database (1988-2005). Analyses examined three subgroups divided on the basis of whether cancer-directed surgery was recommended and performed. Univariate analyses included chi-square and Kaplan-Meier survival analyses. Cox proportional hazards modeling was performed to assess independent determinants of survival. RESULTS: Of 66,751 identified gastric cancer patients, 23,830 had stage IV disease. Resected patients had a significant survival advantage; survival outcomes of patients who had been recommended for, but had not undergone, surgery were identical to that of patients who had not been recommended (3 months vs. 9 months for resected, p < 0.0001). Furthermore, resection status was the most significant independent predictor of increased risk of death (hazard ratios 2.0 for non-cancer-directed surgery groups). CONCLUSIONS: Patients with stage IV gastric cancer who undergo resection, a highly selected population, have significantly greater survival than unresected patients, including those who were recommended for, but did not receive, resection. Stage IV gastric cancer patients who are reasonable operative candidates should be offered resection.

BACKGROUND: Adrenalectomy remains the definitive therapy for most adrenal neoplasms. Introduced in the 1990s, laparoscopic adrenalectomy is reported to have lower associated morbidity and mortality. This study aimed to evaluate national adrenalectomy trends, including major postoperative complications and perioperative mortality. METHODS: The Nationwide Inpatient Sample was queried to identify all adrenalectomies performed during 1998-2006. Univariate and multivariate logistic regression were performed, with adjustments for patient age, sex, comorbidities, indication, year of surgery, laparoscopy, hospital teaching status, and hospital volume. Annual incidence, major in-hospital postoperative complications, and in-hospital mortality were evaluated. RESULTS: Using weighted national estimate, 40,363 patients with a mean age of 54 years were identified. Men made up 40% of these patients, and 77% of the patients were white. The majority of adrenalectomies (83%) were performed for benign disease. The annual volume of adrenalectomies increased from 3,241 in 1998 to 5,323 in 2006 (p < 0.0001, trend analysis). The overall in-hospital mortality was 1.1%, with no significant change. Advanced age (< 45 years as the referent; >/= 65 years: adjusted odds ratio [AOR], 4.10; 95%; confidence Interval [CI], 1.66-10.10) and patient comorbidities (Charlson score 0 as the referent; Charlson score >/= 2: AOR, 4.33; 96% CI, 2.34-8.02) were independent predictors of in-hospital mortality. Indication, year, hospital teaching status, and hospital volume did not independently affect perioperative mortality. Major postoperative in-hospital complications occurred in 7.2% of the cohort, with a significant increasing trend (1998-2000 [5.9%] vs 2004-2006 [8.1%]; p < 0.0001, trend analysis). Patient comorbidities (Charlson score 0 as the referent; Charlson score >/= 2: AOR, 4.77; 95% CI, 3.71-6.14), recent year of surgery (1998-2000 as the referent; 2004-2006: AOR, 1.40; 95% CI, 1.09-1.78), and benign disease (malignant disease as the referent; benign disease: AOR, 1.98; 95% CI, 1.55-2.53) were predictive of major postoperative complications at multivariable analyses, whereas laparoscopy was protective (no laparoscopy as the referent; laparoscopy: AOR, 0.62; 95% CI, 0.47-0.82). CONCLUSION: Adrenalectomy is increasingly performed nationwide for both benign and malignant indications. In this study, whereas perioperative mortality remained low, major postoperative complications increased significantly.

BACKGROUND: Although resection of pancreatic neuroendocrine tumors (PNETs) has a demonstrated survival advantage, further evaluation of the overall morbidity of these procedures is needed. Our objective was to examine a composite outcome of major postoperative complications, including in-hospital mortality. MATERIALS AND METHODS: The Nationwide Inpatient Sample (NIS), 1998-2006, was used to identify all patients with a diagnosis of PNET who had undergone pancreatectomy. Candidate predictors consisted of patient and hospital characteristics. Univariate analyses included chi(2) tests. Multivariate analyses were performed with logistic regression to determine which predictors were independently associated with the composite outcome. RESULTS: A total of 463 (2274 nationally weighted) patients were identified. Overall composite postoperative complication rate was 29.6%. The majority of complications involved infections (11.1%), digestive complications (8.8%), or pulmonary compromise (7.3%). In-hospital mortality rate was 1.7%. High Charlson comorbidity score, procedure type of Whipple or total pancreatectomy, and urban hospital location were all associated with significantly increased complication rate. Logistic regression analysis demonstrated: Charlson score of > or =3 versus score of 0 (adjusted odds ratio (OR) 4.1, 95% confidence interval (CI) 2.1-8.3), surgery type of Whipple or total pancreatectomy versus partial pancreatectomy (adjusted OR 2.7, 95% CI 1.8-4.1), and hospital location of urban versus rural (adjusted OR 4.5, 95% CI 3.0-6.9). CONCLUSIONS: While in-hospital mortality rates are low for surgical resection of PNETs, there is a considerable overall postoperative complication rate associated with these procedures. Careful patient and surgery selection may be the key to a surgical treatment approach for PNETs that may optimize outcomes.

BACKGROUND: Pancreatectomy for cancer continues to have substantial perioperative risk, and the factors affecting mortality are ill defined. An integer-based risk score based on national data might help clarify the risk of in-hospital mortality in patients undergoing pancreatic resection. METHODS: Records with the diagnosis of pancreatic cancer were queried from the Nationwide Inpatient Sample for 1998-2006. Procedures were categorized as proximal, distal, or nonspecified pancreatectomies on the basis of ICD-9 codes. Logistic regression and bootstrap methods were used to create an integer risk score for estimating the risk of in-hospital mortality using patient demographics, comorbidities (Charlson comorbidity score), procedure, and hospital type. A random sample of 80% of the cohort was used to create the risk score with a 20% internal validation set. RESULTS: A total of 5715 patient discharges were identified. Composite in-hospital mortality was 5.8%. Predictors used for the final model were age group, Charlson score, sex, type of pancreatectomy, and hospital volume status (low-, medium-, or high-volume center). Integer values were assigned to these characteristics and then used for calculating an additive score. Three clinically useful score groups were defined to stratify the risk of in-hospital mortality (mortality was 2.0, 6.2, and 13.9%, respectively; P < 0.0001), with a 6.95-fold difference between the low- and high-risk groups. There was sufficient discrimination of both the derivation set and the validation set, with c statistics of 0.71 and 0.72, respectively. CONCLUSIONS: An integer-based risk score can be used to accurately predict in-hospital mortality after pancreatectomy and may be useful for preoperative risk stratification and patient counseling.

BACKGROUND: The benefit of adjuvant radiotherapy (RT) for resected pancreatic adenocarcinoma remains controversial after randomized clinical trials. In this national-level US study, a propensity score (conditional probability of receiving RT) was used to adjust for potential confounding in nonrandomized designs from treatment group differences. METHODS: Patients were identified from the Surveillance, Epidemiology, and End Results (SEER) registry (1988-2005 dataset). Multivariate analyses to determine the effect of RT on overall survival were performed using propensity-adjusted Cox proportional hazards and Kaplan-Meier analyses. RESULTS: In total, 5676 patients with resected pancreatic adenocarcinoma were identified, and 40.8% of those patients had received adjuvant RT. Univariate predictors of survival included age, race, marital status, disease stage, tumor size, tumor extension, tumor grade, lymph node status, year of diagnosis, type of resection, and receipt of RT (all P < .002). In a Cox model, independent predictors of improved survival included white race, married status, earlier stage, smaller tumors, well differentiated tumors, negative lymph node (N0) status, recent diagnosis, and receipt of RT (all P < .05). In a propensity-adjusted proportional hazards regression, the benefit of adjuvant treatment that included RT remained significant after adjusting for the likelihood of receiving RT (hazard ratio, 0.773; 95% confidence interval, 0.714-0.836; P < .0001). Within all 5 propensity strata, Kaplan-Meier survival differed significantly (P < .0001 [lowest and highest probability strata] and P = .0165 [middle stratum with a "pseudorandom" probability of RT]). CONCLUSIONS: Adjuvant RT for resected pancreatic adenocarcinoma was associated with a significant survival advantage in a large national database, even after using propensity score methods to adjust for differences between treatment groups. The authors concluded that adjuvant RT should be considered for all appropriate patients who have resected pancreatic adenocarcinoma.

BACKGROUND: : There is a wide spectrum of disease burden in hepatocellular carcinoma accompanied by several options for surgical management. However, the associated mortality of such procedures is not well defined. Accurate predictions of patients' perioperative risk would be helpful to guide decision making. METHODS: : The Nationwide Inpatient Sample was queried for data from 1998 to 2005. A cohort of patients who were discharged for hepatic procedures with a diagnosis of primary liver neoplasm was assembled. Procedures were categorized as hepatic lobectomy, wedge resection, or enucleation/ablation. Logistic regression and bootstrap methods were used to create an integer risk score for estimating the risk of in-hospital mortality using procedure type, patient demographics, comorbidities, and hospital type. A randomly selected sample of 80% of the cohort (n = 2263) was used to create the score with validation conducted in the remaining 20% (n = 571). RESULTS: : In total, 2834 patient discharges were identified. Overall in-hospital mortality was 6.52%. Factors that were included in the final model were age, sex, Charlson comorbidity score, procedure type, and teaching hospital status. Integer values were assigned to these characteristics and were used to calculate an additive score. Four clinically relevant score groups were assembled to stratify the risk of in-hospital mortality, with a 19-fold gradient of mortality that ranged from 1.5% to 28.3%. In the derivation set, as in the validation set, the score discriminated well with c-statistics of 0.75 and 0.73, respectively. CONCLUSIONS: : The current results indicated that an integer-based risk score can be used to predict in-hospital mortality after surgery for hepatocellular carcinoma, and it may be useful for preoperative risk stratification and patient counseling. Cancer 2010. (c) 2010 American Cancer Society.

OBJECTIVES: To develop a population-based risk score for stratifying patients by risk of in-hospital mortality following procedural intervention for hepatic neoplasm. BACKGROUND: There has been growing support for the value of surgical management of hepatic neoplastic disease, both primary and metastatic. Advances in surgical and ablative technologies have contributed to a decrease in the mortality associated with these procedures. However, multiple patient-, disease- and treatment-related factors can contribute to perioperative morbidity and mortality. METHODS: Using the Nationwide Inpatient Sample from 1998 to 2005, a retrospective cohort of patient-discharges for hepatic procedures with a concurrent diagnosis of hepatic primary or metastatic neoplasm to the liver was assembled. Procedures were categorized as lobectomy, wedge resection, or enucleation/ablation. Logistic regression and bootstrap methods were used to create an integer score for estimating the risk of in-hospital mortality using patient demographics, comorbidities, procedure type, tumor type, and hospital characteristics. A randomly selected sample of 80% of the cohort was used to create the risk score. Testing was conducted in the remaining 20% validation-set. RESULTS: In total, 12,969 patient-discharges were identified. Overall in-hospital mortality was 3.45%. Predictive characteristics incorporated into the model included: age, sex, Charlson comorbidity score, procedure type, hospital type, and type of neoplasm. Integer values were assigned to these, and used to calculate an additive score. Five clinically relevant groups were assembled to stratify risk, with a 36-fold gradient in mortality. Rates in the groups were as follows: 0.9%, 2.5%, 6.8%, 17.6%, and 35.9%. In the derivation set, as well as in the validation set, the simple score discriminated well, with c-statistics of 0.76 and 0.70, respectively. CONCLUSIONS: An integer-based risk score can be used to predict in-hospital mortality after hepatic procedure for neoplasm, and may be useful for preoperative risk stratification and patient counseling.

BACKGROUND: Total pancreatectomy (TP) is performed for various indications. Historically, morbidity and mortality have been high. Recent series reporting improved peri-operative mortality have renewed interest in TP. We performed a national review of TP including indication, patient/hospital characteristics, complications and peri-operative mortality. METHODS: The Nationwide Inpatient Sample (NIS) was queried to identify TPs performed during 1998 to 2006. Univariate analyses were used to compare patient/hospital characteristics. Multivariable logistic regression was performed to identify predictors of in-hospital mortality. Post-operative complications/disposition were assessed. RESULTS: From 1998 to 2006, 4013 weighted patient-discharges occurred for TP. Fifty-three per cent were male; mean age 58 years. Indication: neoplastic disease 67.8%. Post-operative complications occurred in 28%. Univariate analyses: TPs increased significantly (1998, n = 384 vs. 2006 n = 494, P < 0.01). 77.1% of TPs occurred in teaching hospitals (P < 0.0001), 86.4% in hospitals performing or = 70 Adjusted odds ratio (AOR) 3.4, 95% confidence interval (CI) 1.33-8.67], select patient comorbidities and year (referent = 2004-2006; 1998-2000 AOR 2.70; 95% CI 1.41-5.14) independently predicted in-patient mortality whereas hospital surgical volume did not. DISCUSSION: TP is increasingly performed nationwide with a concomitant decrease in peri-operative mortality. Patient characteristics, rather than hospital volume, predicted increased mortality.

BACKGROUND: Pancreatic resection can be performed to ameliorate the sequelae of chronic pancreatitis in selected patients. The perceived risk of pancreatectomy may limit its use. Using a national database, this study compared mortality after pancreatic resections for chronic pancreatitis with those performed for neoplasm. STUDY DESIGN: Patient discharges with chronic pancreatitis or pancreatic neoplasm were queried from the Nationwide Inpatient Sample, 1998 to 2006. To account for the Nationwide Inpatient Sample weighting schema, design-adjusted analyses were used. RESULTS: There were 11,048 pancreatic resections. Malignant neoplasms represented 64.2% of the sample; benign neoplasms and pancreatitis comprised 17.1% and 18.7%, respectively. In-hospital mortality rates were 2.2% and 1.7% for the pancreatitis and benign tumor cohorts, respectively, compared with 5.9% for the malignancy cohort (overall p < 0.01). A multivariable logistic regression examined differences in mortality among diagnoses while adjusting for patient and hospital characteristics; covariates included patient gender, race, age, comorbidities, type of pancreatectomy, payor, hospital teaching status, hospital size, and hospital volume. After adjustment, patients undergoing resection for pancreatitis were at a significantly lower risk of in-hospital mortality when compared with those with malignant neoplasm (odds ratio, 0.43; 95% CI, 0.28 to 0.67). CONCLUSIONS: Pancreatectomies for chronic pancreatitis have lower in-hospital mortality than those performed for malignancy and similar rates as resection for benign tumors. Pancreatic resection, which can improve quality of life in chronic pancreatitis patients, can be performed with moderate mortality rates and should be considered in appropriate patients.

BACKGROUND: Surgical management of liver metastases from various primaries is increasingly common. The mortality of such procedures is not well-defined. Accurate predictions for perioperative risk could augment decision-making. MATERIALS AND METHODS: The Nationwide Inpatient Sample was queried (1998-2005) for patient-discharges for hepatic procedures for metastases. Logistic regression and bootstrap methods were used to create an integer score for estimating the risk of in-hospital mortality using patient demographics, comorbidities, procedure, and hospital type. A randomly selected sample of 80% of the cohort was used to create the risk score, with validation of the score in the remaining 20%. RESULTS: For the total 50,537 patient-discharges, overall in-hospital mortality was 2.6%. Factors included in the model were age, sex, Charlson comorbidity score, procedure type, and teaching hospital status. Integer values were assigned for calculating an additive score. Four score groups were assembled to stratify risk, with a 15-fold gradient of mortality ranging from 0.9% to 14.7% (P<0.0001). In the derivation and the validation set, the score discriminated well, with a c-statistic of 0.72 and 0.72, respectively. CONCLUSION: An integer-based risk score can be used to predict in-hospital mortality after hepatic procedure for metastases, and may be useful for preoperative patient counseling.