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Although the numbers of older adults in the US are rapidly increasing, there is sparse recent data on the use and outcomes of coronary artery bypass grafting (CABG) among this population. We aimed to evaluate the characteristics and outcomes of older adults undergoing CABG and to measure temporal trends.Using data from the National Inpatient Sample (2005-2014), patients aged 85 y and older who underwent CABG were selected. Demographic, clinical, and hospital characteristics were extracted. Outcomes measured were hospital mortality, hospital length of stay, discharge home, and operative complications. Patients were grouped by 2-year increments. Differences in clinical characteristics and outcomes over time were evaluated using trend analyses.There were 60,124 patients included in the cohort. The mean age was 86.8 y with majority being men (61%), white (88%), and treated in teaching hospitals (61%). Over the study period, the annual surgical volume decreased from 6689 in 2005/06 to 5150 in 2013/14. Mortality decreased from 8.5% to 5.5% (P-trend0.001) and mean hospital length of stay decreased from 13.9 d to 12.0 d (P-trend0.001), whereas the rate of discharge home remained stable (14.1% versus 11.6%, P-trend = 0.056). Compared with patients in 2005/06, those in 2013/14 had higher comorbidities [diabetes: 27.6% versus 17.3%; chronic kidney disease: 29.8% versus 9.2%; peripheral artery disease: 7.5% versus 6.0%; and hypertension: 83.7% versus 64.5% (all P-trend0.001)].CABG volumes are decreasing among older adults, and comorbidity burden is increasing, but outcomes are improving. These data may indicate improved preoperative optimization and better perioperative care processes.

Background Over 350,000 surgeries are performed for ventral hernias (VHs) annually. Abdominal wall component separation has been more frequently used for the management of VHs. The goal of this study is to better understand factors associated with component separation complication rates. Methods The National Inpatient Sample (2005-2014) was used to identify all patients with an International Classification of Diseases ninth Revision diagnosis of VHs who underwent open VH repair with a pedicleor graft advancement flap. All cases included in this study were elective and not associated with additional procedures. Demographic, clinical, and hospital characteristics were extracted. Independent predictors of complications and outcomes were determined by multivariable regression analysis. Results Component separation was performed in 4346 patients. Mean age was 56; majority were female (55%) and white (80%). Most patients (73%) underwent surgery in an urban teaching hospital; mesh was used in 80% of cases and 11% were smokers. Hypertension was the most common comorbidity (50%), followed by obesity (26%), diabetes mellitus (DM) (23%), coronary artery disease (11%), and chronic obstructive pulmonary disease (COPD) (8%). Half of the patients (50%) had private insurance, and 35% had Medicare. Patients were distributed equally over household income quartiles. The mortality rate was 0.5%; median length of stay was 5 d. Overall complication rate was 25% (wound 11%, intraoperative 5%, infectious 11%, and pulmonary 8%). Mesh was associated with a lower rate of wound complications (10% versus 15%, P = 0.001). On multivariable analysis, patients with COPD (odds ratio: 2.02; 95% confidence interval: 1.58-2.59), obesity (1.37; 1.16-1.63), DM (1.3; 1.09-1.55), and those in the lowest income quartile (1.44; 1.06-1.96) had higher overall complication rates. Conclusions Consistent with other studies, patients with COPD, Obesity, DM, and lower income status were associated with increased complications after component separation.

Background: Racial and socioeconomic disparities are well documented in emergency general surgery (EGS) and have been highlighted as a national priority for surgical research. The aim of this study was to identify whether disparities in the EGS setting are more likely to be caused by major adverse events (MAEs) (e.g., venous thromboembolism) or failure to respond appropriately to such events. Methods: A retrospective cohort study was undertaken using administrative data. EGS cases were defined using International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic codes recommended by the American Association for the Surgery of Trauma. The data source was the National Inpatient Sample 2012-2013, which captured a 20%-stratified sample of discharges from all hospitals participating in the Healthcare Cost and Utilization Project. The outcomes were MAEs, in-hospital mortality, and failure to rescue (FTR). Results: There were 1,345,199 individual patient records available within the National Inpatient Sample. There were 201,574 admissions (15.0%) complicated by an MAE, and 12,006 of these (6.0%) resulted in death. The FTR rate was therefore 6.0%. Uninsured patients had significantly higher odds of MAEs (adjusted odds ratio, 1.16; 95% confidence interval, 1.13-1.19), mortality (1.28, 1.16-1.41), and FTR (1.20, 1.06-1.36) than those with private insurance. Although black patients had significantly higher odds of MAEs (adjusted odds ratio, 1.14; 95% confidence interval, 1.13-1.16), they had lower mortality (0.95, 0.90-0.99) and FTR (0.86, 0.80-0.91) than white patients. Conclusions: Uninsured EGS patients are at increased risk of MAEs but also the failure of health care providers to respond effectively when such events occur. This suggests that MAEs and FTR are both potential targets for mitigating socioeconomic disparities in the setting of EGS.

Background Most hospitals in the United States are required to provide emergency care to all patients, regardless of insurance status. However, uninsured patients might be unable to access non-acute services, such as post-discharge inpatient care (PDIC). This could result in prolonged acute hospitalization. We tested the hypothesis that insurance status would be independently associated with both PDIC and length of stay (LOS). Methods An observational study was undertaken using the California State Inpatient Database (2007-2011), which captures 98% of patients admitted to hospital in California. All patients with a diagnosis of orthopedic lower limb trauma were identified using International Classification of Diseases, 9th Revision, Clinical Modification codes 820-828. Multivariable logistic and generalized linear regression models were used to adjust odds of PDIC and LOS for patient and hospital characteristics. Results There were 278,573 patients with orthopedic lower limb injuries, 160,828 (57.7%) of which received PDIC. Uninsured patients had lower odds of PDIC (adjusted odds ratio 0.20, 95% confidence interval 0.17-0.24) and significantly longer hospital LOS (predicted mean difference 1.06 [95% confidence interval 0.78-1.34] d) than those with private insurance. Conclusions Lack of health insurance is associated with reduced access to PDIC and prolonged hospital LOS. This potential barrier to hospital discharge could reduce the number of trauma beds available for acutely injured patients.

Background Designated trauma centers improve outcomes for severely injured patients. However, major trauma workload can disrupt other care pathways and some patient groups may compete ineffectively for resources with higher priority trauma cases. This study tested the hypothesis that treatment at a higher-level trauma center is an independent predictor for worse outcome after appendectomy. Methods An observational study was undertaken using an all-payer longitudinal data set (California State Inpatient Database 2007–2011). All patients with an ICD-90-CM diagnosis of “acute appendicitis” (International Classification of Diseases, Ninth Revision, Clinical Modification code 540) that subsequently underwent appendectomy were included. Patients transferred between hospitals were excluded to minimize selection bias. The outcome measures were days to the operating room, length of stay, unplanned 30-d readmission (to any hospital in California), and in-hospital mortality. Logistic and generalized linear regression models were used to adjust for patient- (age, sex, payer status, race, Charlson comorbidity index, weekend admission, and generalized peritonitis) and hospital-level (teaching status and bed size) factors. Results There were 119,601 patients treated in 278 individual hospitals. Patients in level I trauma centers (L1TCs) reached the operating room later (predicted mean difference 0.25 d [95% confidence interval 0.14–0.36]), stayed in hospital longer (0.83 d [0.36–1.31]), and had higher adjusted odds of generalized peritonitis (odds ratio 1.63 [95% confidence interval 1.13–2.36]) than those in nontrauma centers. There were no differences in mortality or unplanned 30-d readmissions to hospital; or between level II trauma centers and nontrauma centers across any of the measured outcomes. Conclusions Odds of generalized peritonitis are higher and hospital length of stay is longer in L1TCs, although we found no evidence that patients come to serious harm in such institutions. Further work is necessary to determine whether pressure for resources in L1TCs can explain these findings.