| Literature DB >> 34936612 |
Anna Rose Johnson1, Marc-André Tétrault1, Miguel G Bravo1, Vincent Girouard1, Rita Laurence1, Bernard T Lee1, Hak Soo Choi1, Dhruv Singhal1.
Abstract
BACKGROUND: The real-time quantification of lymphatic flow remains elusive. Efforts to provide a metric of direct lymphatic function are not clinically translatable and lack reproducibility. Early reports demonstrate the promise of immediate lymphatic reconstruction (immediate lymphovenous bypass after lymphadenectomy) to reduce the risk of lymphedema development. However, there remains a heightened need to appraise this technique in a clinically translatable large-animal model. The aim of the authors' experiment was to evaluate the role of molecular imaging in the quantification of real-time lymphatic flow after lymphadenectomy, and lymphadenectomy with lymphovenous bypass using novel fluorophores in a swine model.Entities:
Mesh:
Year: 2022 PMID: 34936612 PMCID: PMC8691163 DOI: 10.1097/PRS.0000000000008631
Source DB: PubMed Journal: Plast Reconstr Surg ISSN: 0032-1052 Impact factor: 4.730
Demographics
| Characteristic | Descriptive Statistic (%) |
|---|---|
| No. of programs | 7 (100) |
| Integrated | 5 (71) |
| Independent | 1 (14) |
| Both | 1 (14) |
| Location | |
| Urban (county population >250,000) | 6 (86) |
| Suburban (county population >100,000–250,000) | 1 (14) |
| Residents | 106 (100) |
| Integrated | 93% |
| Independent | 7% |
Policy (as of May 31, 2020)
| Policy | Descriptive Statistic (%) |
|---|---|
| Means of suitability for operative intervention determination | |
| Individual surgeon judgment | 1 (14) |
| Hospital committee | 3 (43) |
| Chief/chair | 4 (57) |
| Published guidelines | 1 (14) |
| Did your institution issue specific guidelines regarding surgical procedures? | |
| Yes | 5 (71) |
| No | 2 (29) |
| Types of operations performed during the pandemic | |
| Emergent | 7 (100) |
| Urgent | 2 (29) |
| Elective | 0 (0) |
Values can add up to over 100% because responses are not mutually exclusive
Clinical Volume (as of May 31, 2020)
| Year 2019 | Year 2020 | % Reduction | |
|---|---|---|---|
| Total no. of operations performed | |||
| March | 644 | 353 | 45.2 |
| April | 717 | 74 | 89.7 |
Fig. 1.Year-on-year comparison of operations cancelled because of COVID-19 (March and April of 2019 versus 2020).
Staff Deployment
| Staff Allocation during COVID-19 | Residents | Attending Physicians | ||
|---|---|---|---|---|
| % of Programs | No. (% of Total) | % of Programs | % of Total | |
| Overall | 83% | 77% | 83% | 67% |
| Areas of re-deployment | ||||
| ICU | 83% | 14 (23%) | 50% | 50% |
| ED | 50% | 9 (14.8%) | 17% | 17% |
| COVID-19 screening sites | 17% | 2 (3.3%) | 33% | 17% |
| General medicine/surgery floor | 50% | 9 (14.8%) | 33% | 33% |
| Telemedicine | 17% | 6 (9.8%) | — | — |
| Off-service | — | 7 (12.3%) | — | — |
| Not redeployed | 17% | 23% | 17% | 33% |
| By resident training level | ||||
| Juniors only | 17% | — | ||
| Seniors only | 0% | — | ||
| All residents | 67% | — | ||
| No residents redeployed | 17% | — | ||
ICU, intensive care unit; ED, emergency department.
Although residents were deployed to cover one clinical environment at a time, our survey indicated that attending physicians were redeployed to cover multiple different clinical environments during the same period.
Values can add up to over 100% because responses are not mutually exclusive.
Juniors, postgraduate years 1–3; seniors, greater than postgraduate year 4.
Resources and Educational Activities during COVID-19
| Resources | % of Programs |
|---|---|
| Resources | |
| Types of personal protective equipment | |
| N95 | 100 |
| Surgical mask | 100 |
| Face shield | 83 |
| Surgical gowns | 67 |
| Nonpermeable overalls | 67 |
| Sources of PPE | |
| Hospital | 100 |
| Government | 0 |
| Donations | 50 |
| Privately sourced | 33 |
| Educational activities | |
| Lectures | 100 |
| M&M conference | 83 |
| Journal club | 100 |
| Grand rounds | 67 |
| Research meetings | 67 |
| Relative frequency of educational conferences | |
| Increased | 33 |
| Decreased | 33 |
| Unchanged | 33 |
| Policies enacted to offset missed educational opportunities | |
| Make-up rotations | 33 |
| Online conferences | 33 |
| Extension of residency | 33 |
| No specific plan | 50 |
PPE, personal protective equipment; M&M, morbidity and mortality.
Values can add up to over 100% because responses are not mutually exclusive.
COVID-19–Related Case and Death Rate by County in the Greater New York City Area, as Determined by Geographic Location of Plastic Surgery Residency Programs
| County | State | Confirmed Cases (per 100,000) | Deaths (per 100,000) |
|---|---|---|---|
| Albany | N.Y. | 695.6 | 35.7 |
| Bronx | N.Y. | 3367.5 | 336.0 |
| Kings | N.Y. | 2338.2 | 277.8 |
| Monroe | N.Y. | 516.7 | 33.0 |
| Nassau | N.Y. | 3088.6 | 161.0 |
| New York | N.Y. | 1755.7 | 190.0 |
| Queens | N.Y. | 2909.1 | 313.4 |
| Suffolk | N.Y. | 2809.9 | 134.2 |
| Westchester | N.Y. | 3608.5 | 147.4 |
| Camden | N.J. | 1412.3 | 82.3 |
| Essex | N.J. | 2325.0 | 220.4 |
| Passaic | N.J. | 3342.2 | 202.2 |
From https://covid.cdc.gov/covid-data-tracker/#county-view. Accessed November 26, 2021.
Fig. 2.COVID cases (left) and deaths (right) in the greater New York City area, as of June 30, 2020, with stars denoting location of plastic surgery residency programs. Color bar above represents the relative value. (USA FACTS. Coronavirus locations: COVID-19 map by county and state. Available at: https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/. Accessed June 30, 2020.) (Note: only one star was used for New York City, given space constraints on the map, but it is meant to represent all four residency programs in the city.)