| Literature DB >> 34343473 |
Tom C Nguyen1, Vinod H Thourani2, Alexander P Nissen3, Robert H Habib4, Joseph A Dearani5, Allan Ropski4, Juan A Crestanello5, David M Shahian6, Jeffrey P Jacobs7, Vinay Badhwar8.
Abstract
BACKGROUND: COVID-19 has changed the world as we know it, and the United States continues to accumulate the largest number of COVID-related deaths worldwide. There exists a paucity of data regarding the effect of COVID-19 on adult cardiac surgery trends and outcomes on regional and national levels.Entities:
Mesh:
Year: 2021 PMID: 34343473 PMCID: PMC8325556 DOI: 10.1016/j.athoracsur.2021.07.015
Source DB: PubMed Journal: Ann Thorac Surg ISSN: 0003-4975 Impact factor: 4.330
Figure 1United States map demonstrates the 9 The Society of Thoracic Surgeons regions and their respective contributions to the overall study cohort.
Figure 2Case decline in the United States (US) with overlayed number of new regional COVID-19 cases during the same time frame.
Figure 3United States (US) regional COVID-19 rates per million population.
Figure 4Regional (colors) and United States (US) (solid black) COVID-19 trends, normalized per million population. Any deviation of the colored line from the black line indicates regional rates of COVID-19 that are increasing greater than the national rate.
Figure 5United States (US) regional monthly cardiac surgery volumes as a percentage of mean volumes for the previous monthly value.
Figure 6Mid-Atlantic regional case decline with overlayed number of new regional COVID-19 cases during the same time frame.
Figure 7Mortality observed/expected (O/E) ratios for (A) all risk-adjustable operations and for (B) isolated coronary artery bypass grafting in the Mid-Atlantic and New England regions vs all other regions.
Preoperative Patient Characteristics
| Variable | Pre-COVID (2018-Dec 2020) | Early COVID (Jan-Mar 2020) | COVID Storm (Apr-Jun 2020) | |
|---|---|---|---|---|
| Patients (N = 717 103) | 599 304 | 67 169 | 50 630 | |
| Age, y | 65.11 ± 11.8 | 65.02 ± 11.8 | 64.61 ± 11.9 | NS |
| Sex | 8.73E-12 | |||
| Male | 427 477 (70.3) | 48 506 (71.1) | 36 739 (71.5) | |
| Female | 180 732 (29.7) | 19 668 (28.8) | 14 649 (28.5) | |
| Diabetes | 1.27E-05 | |||
| Yes | 220 524 (36.2) | 25 322 (37.1) | 19 690 (38.3) | |
| No | 378 261 (62.2) | 42 268 (62.0) | 31 265 (60.8) | |
| Dialysis | 0.07176 | |||
| Yes | 18 786 (3.1) | 2238 (3.3) | 1766 (3.4) | |
| No | 587 716 (96.6) | 65 685 (96.3) | 49 422 (96.2) | |
| Heart failure | 2.20E-16 | |||
| Yes | 220 524 (36.2) | 25 322 (37.1) | 19 690 (38.3) | |
| No | 378 261 (62.2) | 42 268 (62.0) | 31 265 (60.8) | |
| Left ventricular ejection fraction | 2.20E-16 | |||
| Hyperdynamic (>0.70) | 28 734 (4.7) | 2973 (4.4) | 2110 (4.1) | |
| Normal (0.50-0.70) | 402 480 (66.2) | 45 147 (66.2) | 33 541 (65.3) | |
| Mild (<0.50) | 735 38 (12.1) | 8324 (12.2) | 6447 (12.5) | |
| Moderate (<0.40) | 45 024 (7.4) | 5203 (7.6) | 4101 (8.0) | |
| Severe (<0.30) | 38 932 (6.4) | 4542 (6.7) | 3663 (7.1) | |
| Smoking | 9.32E-08 | |||
| Nonsmoker | 254 120 (41.8) | 28 746 (42.2) | 21 304 (41.4) | |
| Current | 113 252 (18.6) | 12 548 (18.4) | 9895 (19.3) | |
| Former | 237 000 (39.0) | 26 391 (38.7) | 19 773 (38.5) | |
| Lung Disease | 1.85E-13 | |||
| None | 433 613 (71.3) | 48 143 (70.6) | 36 641 (71.3) | |
| Mild | 65 222 (10.7) | 7871 (11.5) | 5572 (10.8) | |
| Moderate/Severe | 58 579 (9.6) | 6579 (9.6) | 4660 (9.1) |
Continuous variables are presented as the mean ± SD, and categorical variables are presented as frequency (%).