| Literature DB >> 33141159 |
Gabe Weininger1, Makoto Mori1,2, Cornell Brooks1, Michael Shang1, Thais Faggion Vinholo1, Yawei Zhang3, Roland Assi1, Arnar Geirsson1, Prashanth Vallabhajosyula4.
Abstract
Importance: More than half of US cardiothoracic surgeons are older than 55 years, and the association between surgeon number of years in practice and surgical outcomes remains unclear. Objective: To assess the association between cardiac surgeons' time in practice and operative outcomes for coronary artery bypass grafting (CABG) and valve surgery. Design, Setting, and Participants: Cross-sectional analysis performed of surgeon-level outcomes data from the 2014-2016 New York State Cardiac Data Reporting System across the 38 New York cardiac surgery centers. Years in practice were characterized as early career (<10 years) and late career (≥10 years). Participants were 120 cardiothoracic surgeons who performed CABG and 112 cardiothoracic surgeons who performed valve procedures between 2014 and 2016. Data were analyzed in April 2020. Surgeons who trained outside of the United States or had unclear training history were excluded. Main Outcomes and Measures: Risk-adjusted operative mortality rate (RAMR). Mortality was defined as all-cause death within 30 days of surgery or within the index hospitalization, whichever was longer. Risk adjustment was performed by a multivariable risk model developed by the New York State Department of Public Health. Restricted cubic spline curve identified the association between risk-adjusted mortality rate and surgeon number of years in practice. Linear regression models adjusted for surgeons' annual case volumes.Entities:
Mesh:
Year: 2020 PMID: 33141159 PMCID: PMC7610186 DOI: 10.1001/jamanetworkopen.2020.23671
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Figure 1. Inclusion Criteria for Surgeons
Of the 122 total surgeons, 112 were included in coronary artery bypass graft (CABG) model and 120 were included in the valve model. The two groups overlap because most surgeons perform CABG and valve surgery. IMG indicates international medical graduates.
Surgeon-Level Characteristics
| Variable | Median (IQR) | |||
|---|---|---|---|---|
| Early careerb | Late careerc | Total | ||
| CABG | ||||
| Surgeons, No. | 26 | 86 | 112 | |
| Volume | 127.5 (69.0-179.0) | 179.5 (97.0-257.0) | 160.0 (92.5-245.0) | .03 |
| RAMR, % | 1.3 (0.3-2.1) | 1.3 (0.0-2.2) | 1.3 (0.2-2.2) | .73 |
| Valve | ||||
| Surgeons, No. | 28 | 92 | 120 | |
| Volume | 52.0 (25.0-99.5) | 127.5 (70.0-253.0) | 104.0 (43.0-210.0) | <.001 |
| RAMR, % | 4.0 (1.5-7.7) | 2.9 (1.7-4.7) | 3.1 (1.7-5.1) | .20 |
| Years in practice | 7.5 (4.0-8.0) | 24.5 (18.0-30.0) | 20.0 (12.0-28.5) | <.001 |
Abbreviations: CABG, coronary artery bypass graft; IQR, interquartile range; RAMR, risk-adjusted mortality rate.
The surgeon characteristics are for all New York CABG and valve procedures between 2014 and 2016.
Early career is defined as less than 10 years in practice.
Late career is defined as 10 or more years in practice.
Figure 2. Distribution of Surgeons’ Years in Practice
Figure 3. Association Between Number of Years in Practice and Risk-Adjusted Mortality Rate for Coronary Artery Bypass Graft (CABG) and Valve Procedures
Restricted cubic spline fit of risk-adjusted mortality rate by years in practice for valve and CABG procedures. The bands represent 95% CIs.
Regression Model for Surgeon RAMRa
| Variable | RAMR estimate, % (95% CI) | |
|---|---|---|
| Years in practice | ||
| Linear term | −1.144 (−1.955 to −0.332) | .006 |
| Quadratic term | 0.059 (0.015 to 0.102) | .008 |
| Cubic term | −0.001 (−0.002 to 0.000) | .01 |
| Valve case volume (per 50-case increase) | −0.300 (−0.531 to −0.070) | .01 |
| Years in practice | −0.0442 (−0.145 to 0.056) | .38 |
| CABG case volume (per 50-case increase) | 0.0047 (−0.402 to 0.411) | .98 |
Abbreviations: CABG, coronary artery bypass graft; RAMR, risk-adjusted mortality rate.
The model for valve operations estimated a 0.3% decrease in RAMR per every 50-case increase in surgeon volume for valve operations.
Surgeons’ number of years in practice was modeled as a cubic term.