Home Field Advantage: Assessing the Geographic Trends of the Plastic Surgery Residency Match during the COVID-19 Pandemic.

OBJECTIVE: In previous plastic surgery residency match cycles, in-person activities at other institutions, such as away rotations, have facilitated matches outside of an applicant's home program or region. The COVID-19 pandemic, however, limited these in-person opportunities. Therefore, we hypothesized that applicants of the 2021 cycle would be more likely to match into programs with which they have existing geographic connections when compared to previous years. DESIGN: Residency websites and social media accounts were searched for resident names and educational information for those matching in 2021 and 2015 to 2020. Outcomes included proportion of applicants matching at the program affiliated with their medical school ("home program"), or matching in the same state or United States Census Map region as their medical school or undergraduate institution. Subgroup analyses were stratified by program region, incoming resident class size, and Doximity residency reputation ranking. SETTING: Columbia University (New York). PARTICIPANTS: For the 2015 to 2020 residency cycles, 963 residents were identified from 78 (95.1%) programs. For 2021, 159 incoming interns were identified from 70 (82.3%) programs. RESULTS: 2021 applicants matched into their home program at higher rates than 2015-2020 applicants (36.0% vs. 24.1%, p  = 0.019). This trend was similar regardless of program region or size. This increase was significant for programs ranked outside of the top 30 (41.5% vs. 26.4%, p = 0.032), but not for the top 30 programs (32.1% vs. 22.3%, p = 0.128). Excluding those who matched at their home program, 2015 to 2020 and 2021 applicants matched in the same state or region of their medical school or undergraduate institution at similar rates (p > 0.05 for all). CONCLUSIONS: During the COVID-19 pandemic, plastic surgery residency programs matched more applicants from affiliated medical schools than in previous years. This may result from lack of in-person opportunities for applicants at other programs. Alternative relationship-building opportunities may facilitate broader geographic connections in the 2022 cycle.

Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series.

OBJECTIVE: To characterize patients with coronavirus disease 2019 (covid-19) in a large New York City medical center and describe their clinical course across the emergency department, hospital wards, and intensive care units. DESIGN: Retrospective manual medical record review. SETTING: NewYork-Presbyterian/Columbia University Irving Medical Center, a quaternary care academic medical center in New York City. PARTICIPANTS: The first 1000 consecutive patients with a positive result on the reverse transcriptase polymerase chain reaction assay for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) who presented to the emergency department or were admitted to hospital between 1 March and 5 April 2020. Patient data were manually abstracted from electronic medical records. MAIN OUTCOME MEASURES: Characterization of patients, including demographics, presenting symptoms, comorbidities on presentation, hospital course, time to intubation, complications, mortality, and disposition. RESULTS: Of the first 1000 patients, 150 presented to the emergency department, 614 were admitted to hospital (not intensive care units), and 236 were admitted or transferred to intensive care units. The most common presenting symptoms were cough (732/1000), fever (728/1000), and dyspnea (631/1000). Patients in hospital, particularly those treated in intensive care units, often had baseline comorbidities including hypertension, diabetes, and obesity. Patients admitted to intensive care units were older, predominantly male (158/236, 66.9%), and had long lengths of stay (median 23 days, interquartile range 12-32 days); 78.0% (184/236) developed acute kidney injury and 35.2% (83/236) needed dialysis. Only 4.4% (6/136) of patients who required mechanical ventilation were first intubated more than 14 days after symptom onset. Time to intubation from symptom onset had a bimodal distribution, with modes at three to four days, and at nine days. As of 30 April, 90 patients remained in hospital and 211 had died in hospital. CONCLUSIONS: Patients admitted to hospital with covid-19 at this medical center faced major morbidity and mortality, with high rates of acute kidney injury and inpatient dialysis, prolonged intubations, and a bimodal distribution of time to intubation from symptom onset.