Bekelis, Kimon

Background— We explored regional variation in 30-day ischemic stroke mortality and readmission rates and the extent to which regional differences in patients, hospitals, healthcare resources, and a quality of care composite care measure explain the observed variation. Methods and Results— This ecological analysis aggregated patient and hospital characteristics from the Get With The Guidelines–Stroke registry (2007–2011), healthcare resource data from the Dartmouth Atlas of Health Care (2006), and Medicare fee-for-service data on 30-day mortality and readmissions (2007–2011) to the hospital referral region (HRR) level. We used linear regression to estimate adjusted HRR-level 30-day outcomes, to identify HRR-level characteristics associated with 30-day outcomes, and to describe which characteristics explained variation in 30-day outcomes. The mean adjusted HRR-level 30-day mortality and readmission rates were 10.3% (SD=1.1%) and 13.1% (SD=1.1%), respectively; a modest, negative correlation ( r =−0.17; P =0.003) was found between one another. Demographics explained more variation in readmissions than mortality (25% versus 6%), but after accounting for demographics, comorbidities accounted for more variation in mortality compared with readmission rates (17% versus 7%). The combination of hospital characteristics and healthcare resources explained 11% and 16% of the variance in mortality and readmission rates, beyond patient characteristics. Most of the regional variation in mortality (65%) and readmission (50%) rates remained unexplained. Conclusions— Thirty-day mortality and readmission rates vary substantially across HRRs and exhibit an inverse relationship. While regional variation in 30-day outcomes were explained by patient and hospital factors differently, much of the regional variation in both outcomes remains unexplained.

OBJECTIVE The impact of treatment method—surgical clipping or endovascular coiling—on the cost of care for patients with aneurysmal subarachnoid hemorrhage (SAH) is debated. Here, the authors investigated the association between treatment method and long-term Medicare expenditures in elderly patients with aneurysmal SAH. METHODS The authors performed a cohort study of 100% of the Medicare fee-for-service claims data for elderly patients who had undergone treatment for ruptured cerebral aneurysms in the period from 2007 to 2012. To control for measured confounding, the authors used propensity score–adjusted multivariable regression analysis with mixed effects to account for clustering at the hospital referral region (HRR) level. An instrumental variable (regional rates of coiling) analysis was used to control for unmeasured confounding by creating pseudo-randomization on the treatment method. RESULTS During the study period, 3210 patients underwent treatment for ruptured cerebral aneurysms and met the inclusion criteria. Of these patients, 1206 (37.6%) had surgical clipping and 2004 (62.4%) had endovascular coiling. The median total Medicare expenditures in the 1st year after admission for SAH were $113,000 (IQR $77,500–$182,000) for surgical clipping and $103,000 (IQR $72,900–$159,000) for endovascular coiling. When the authors adjusted for unmeasured confounders by using an instrumental variable analysis, clipping was associated with increased 1-year Medicare expenditures by $19,577 (95% CI $4492–$34,663). CONCLUSIONS In a cohort of Medicare patients with aneurysmal SAH, after controlling for unmeasured confounding, surgical clipping was associated with increased 1-year expenditures in comparison with endovascular coiling.

OBJECT Despite the growing epidemic of falls, the true incidence of peripheral nerve injuries (PNIs) in this patient population remains largely unknown. METHODS The authors performed a retrospective cohort study of 839,210 fall-injured patients who were registered in the National Trauma Data Bank (NTDB) between 2009 and 2011 and fulfilled the inclusion criteria. Regression techniques were used to investigate the association of demographic and socioeconomic factors with the rate of PNIs in this patient population. The association of age with the incidence of PNIs was also investigated. RESULTS Overall, 3151 fall-injured patients (mean age 39.1 years, 33.3% females) sustained a PNI (0.4% of all falls). The respective incidence of PNIs was 2.7 per 1000 patients for ground-level falls, 4.9 per 1000 patients for multilevel falls, and 4.5 per 1000 patients for falls involving force. This demonstrated a rapid increase in the first 2 decades of life, with a maximum rate of 1.1% of all falls in the 3rd decade, followed by a slower decline and eventual plateau in the 7th decade. In a multivariable analysis, the association of PNIs with age followed a similar pattern with patients 20–29 years of age, demonstrating the highest association (OR 2.34 [95% CI 2.0–2.74] in comparison with the first decade of life). Falls involving force (OR 1.25 [95% CI 1.14–1.37] in comparison with multilevel falls) were associated with a higher incidence of PNIs. On the contrary, female sex (OR 0.87 [95% CI 0.80–0.84]) and ground-level falls (OR 0.79 [95% CI 0.72–0.86]) were associated with a lower rate of PNIs. CONCLUSIONS Utilizing a comprehensive national database, the authors demonstrated that PNIs are more common than previously described in fall-injured patients and identified their age distribution. These injuries are associated with young adults and falls of high kinetic energy.

Object Despite the negative effects of peripheral nerve injuries (PNIs) on long-term population health, their true prevalence among pediatric trauma patients is under debate. The authors investigated the prevalence of PNIs among children involved in trauma and investigated associations between PNIs and several patient characteristics. Methods The authors performed a retrospective cohort study of pediatric trauma patients who were registered in the National Trauma Data Bank from 2009 through 2011 and who fulfilled the study inclusion criteria. They used regression techniques to investigate the association of demographic and socioeconomic factors with the rate of PNIs among these patients. Results Of the 245,470 study patients, 50,211 were involved in motor vehicle crashes, 3380 in motorcycle crashes, 20,491 in bicycle crashes, 18,262 in pedestrian accidents, 26,294 in other crashes (mainly involving all-terrain vehicles and snowmobiles), and 126,832 in falls. The respective prevalence of PNIs was 0.66% for motor vehicle crashes, 1% for motorcycle crashes, 0.38% for bicycle crashes, 0.42% for pedestrian accidents, 0.79% for other crashes, and 0.52% for falls. Multivariate logistic regression analysis demonstrated that the following were associated with an increased incidence of PNIs: increased patient age (OR 1.10, 95% CI 1.01–1.20), higher Injury Severity Score (OR 1.10, 95% CI 1.01–1.20), elevated systolic blood pressure at arrival at the emergency room (OR 1.10, 95% CI 1.01–1.20), and increased number of trauma surgeons at the institution (OR 1.10, 95% CI 1.01–1.20). The following were associated with lower incidence of PNIs: female sex (OR 0.94, 95% CI 0.87–1.02), rural hospitals (OR 0.94, 95% CI 0.87–1.02), and urban nonteaching hospitals (OR 0.94, 95% CI 0.87–1.02). Conclusions PNIs are more common than previously identified for the pediatric trauma population. These injuries are associated with older age and increased severity of the overall injury.