Competitiveness of Obstetrics and Gynecology Residency Programs and Applicants.

OBJECTIVE: To assess the change in competitiveness of obstetrics and gynecology programs over 20 years using a normalized competitive index. METHODS: Obstetrics and gynecology match data were obtained from the National Resident Matching Program (NRMP) for 2003-2022. Applicant metrics (United States Medical Licensing Examination scores, score percentiles, research output and experiences, and work and volunteer experiences) were obtained from the NRMP and the Association of American Medical Colleges (2007-2021). The competitive index was calculated using the number of positions available divided by match rate each year between 2003 and 2022. The normalized competitive index was calculated by dividing the yearly competitive index by the average competitive index over 20 years. Data were analyzed using univariate analysis and linear regressions. RESULTS: When comparing the two decades (2003-2012 vs 2013-2022), applicants (1,539±242 vs 1,902±144; P <.001), positions (1,173±31 vs 1,345±98; P <.001), and number of programs ranked per applicant (13±1.4 vs 15±0.6; P <.001) have increased. While the match rate did not significantly change from 2003 to 2022 (75.5%±9.9% vs 70.5%±1.6%; P =.14), the normalized competitive index increased (R 2 =0.92, P <.001), indicating increased competitiveness. Applicant metrics increased over time, including research output (2.4±0.8 vs 5.0±0.7; P =.002) and work experiences (2.9±0.2 vs 3.6±0.1; P =.002; R 2 =0.98, P< .001). CONCLUSION: Despite an increase in obstetrics and gynecology applicants and applicant metrics, match rates remain unchanged. However, the competitiveness of programs has significantly increased, as demonstrated by the normalized competitive index, applicants per position, and applicant metrics. The normalized competitive index is a useful metric for applicants to determine program or applicant competitiveness, especially when used alongside applicant metrics.

Aberrant R-loop-induced replication stress in MED12-mutant uterine fibroids.

Uterine fibroid (UF) driver mutations in Mediator complex subunit 12 (MED12) trigger genomic instability and tumor development through unknown mechanisms. Herein, we show that MED12 mutations trigger aberrant R-loop-induced replication stress, suggesting a possible route to genomic instability and a novel therapeutic vulnerability in this dominant UF subclass. Immunohistochemical analyses of patient-matched tissue samples revealed that MED12 mutation-positive UFs, compared to MED12 mutation-negative UFs and myometrium, exhibited significantly higher levels of R-loops and activated markers of Ataxia Telangiectasia and Rad3-related (ATR) kinase-dependent replication stress signaling in situ. Single molecule DNA fiber analysis revealed that primary cells from MED12 mutation-positive UFs, compared to those from patient-matched MED12 mutation-negative UFs and myometrium, exhibited defects in replication fork dynamics, including reduced fork speeds, increased and decreased numbers of stalled and restarted forks, respectively, and increased asymmetrical bidirectional forks. Notably, these phenotypes were recapitulated and functionally linked in cultured uterine smooth muscle cells following chemical inhibition of Mediator-associated CDK8/19 kinase activity that is known to be disrupted by UF driver mutations in MED12. Thus, Mediator kinase inhibition triggered enhanced R-loop formation and replication stress leading to an S-phase cell cycle delay, phenotypes that were rescued by overexpression of the R-loop resolving enzyme RNaseH. Altogether, these findings reveal MED12-mutant UFs to be uniquely characterized by aberrant R-loop induced replication stress, suggesting a possible basis for genomic instability and new avenues for therapeutic intervention that involve the replication stress phenotype in this dominant UF subtype.

A Quality Improvement Approach to Early Patient Discharge.

Lack of bed availability is a common problem in our pediatric unit, as in many hospitals. To address this issue, we instituted a quality improvement (QI) initiative involving collaborative nurse-physician rounding. This intervention has been shown to expedite discharge, improve patient care, and increase bed availability in other settings. METHODS: By utilizing PDCA (Plan, Do, Check, Act) processes, we created two improvement initiatives, "Increasing Patient Discharge Before 12 pm" and "Midnight Rounds with Discharge Focus." Senior resident and faculty physicians rounded on discharge-ready patients before teaching rounds, and by 10 am, placed discharge orders to allow for a 12 pm discharge. A night team consisting of senior residents and nurses conducted "Midnight Rounds" and identified potential discharges for the morning team. The project aimed to increase patient discharges before 12 pm from a June-November 2018 baseline of 15%-20% by June 2019. RESULTS: Patient discharge percentage before 12 pm increased from 15% to 21% (P < 0.01) by June 2019, and as a result, bed availability increased by 16% (P < 0.01). CONCLUSIONS: QI methodology clarified the root causes of limited bed availability. Understanding the existing discharge process allowed for QI initiatives to develop a consistent and sustainable discharge process. Patient discharge percentages before 12 pm increased by 40%, and bed availability increased by 16% after QI implementations.