Cole, Kyril L.

BACKGROUND: Increasing interest in neurosurgery residency has led to a growing number of unmatched applicants, who often struggle to find appropriate guidance for their next steps. The authors examined trends, opinions, and options available to unmatched neurosurgery residency reapplicants. STUDY DESIGN: Demographic data of US applicants from MD programs obtained from the National Resident Matching Program (2009 to 2024) were analyzed using 1-way ANOVA analysis of time-interval averages. Opinions about reapplicants were assessed via an online survey of national neurosurgery leaders, including residency program directors and chairpersons (N = 356). RESULTS: All application trends showed greater change over time; however, the rate of accepted reapplicants showed no significant change among early (2009 to 2013: 4.8 ± 1.8), mid (2014 to 2018: 7.6 ± 4.8), and recent periods (2019 to 2024: 9.8 ± 2.5; p = 0.068). The survey had a 23.0% response rate (82 of 356). Commonly indicated reasons for failure to match included poor interview skills, weak recommendation letters, and personality issues. Although most survey respondents supported candidates reapplying, dual applications (applying to more than 1 specialty) were not widely encouraged. For those reapplying, pursuing a preliminary general surgery or research fellowship, obtaining new letters of recommendation from new subinternships, and publishing higher-quality research were the most endorsed uses of time before reapplying. However, most programs reported interviewing reapplicants sometimes to rarely and matching a reapplicant rarely to never. CONCLUSIONS: The number of reapplicants successfully matching into neurosurgery has not changed significantly during the past 15 years. Surveys indicate that leaders view reapplicants unfavorably, despite reapplicants’ efforts to improve their applications. These results suggest that neurosurgery mentors may do a disservice to potential reapplicants based on how residency program leadership considers reapplications. Candid guidance is needed for reapplicants in the residency matching process.

Introduction: Hospital-Acquired Infections (HAIs) are contracted during hospitalization for another disorder. We hypothesized that older adults with incident stroke and HAI experience faster subsequent cognitive decline than those having stroke without HAI and those without stroke. Methods: The Cardiovascular Health Study (CHS) is a cohort of Medicare-eligible participants aged ≥ 65 years. Incident ischemic stroke was ascertained from medical records. HAIs were assessed by hospital discharge ICD-9 codes. Global cognitive function was measured annually by modified mini-mental state examination (3MSE) and executive function by digit symbol substitution test (DSST). We used linear mixed models to estimate decline in mean 3MSE and DSST scores over a mean of seven years by incident stroke and HAI status among participants free of stroke at baseline. Results: In the 3MSE analysis, 393 participants had incident stroke and HAI, 766 had stroke only, and 4,284 had no stroke. With no stroke ( Fig 1A, black line), cognitive decline accelerated with age: mean declines of 0.27 points/year at age 70, 1.10 points/year at age 80, and 2.47 points/year at age 90. After stroke with HAI (red line), mean decline was 0.29 points/year faster than with no stroke (95% CI: 0.17, 0.40; p < 0.001). In contrast, after stroke without HAI (blue line), mean decline was similar to that with no stroke (0.09 points/year faster; 95% CI: -0.13, 0.32; p = 0.410). Mean decline was 0.19 points/year faster after stroke with HAI than after stroke without HAI, though these differences were not statistically significant (95% CI: -0.05, 0.44; p = 0.123). Mean decline in DSST score ( Fig 1B ) after stroke with HAI was similar to stroke without HAI (0.09 points/year faster decline after stroke with HAI; 95% CI: -0.08, 0.27; p = 0.297). Conclusions: Mean cognitive decline after stroke with HAI was faster than with no stroke but may be similar to that after stroke without HAI. As a limitation, we did not have data on stroke severity.