| Literature DB >> 32558879 |
Christian Smedberg1,2, Johnny Steuer1,2, Karin Leander3, Rebecka Hultgren4,5.
Abstract
AIMS: As large population-based studies of aortic dissection are lacking, the incidence numbers and knowledge about time-trends and sex differences are uncertain. The objective was to describe incidence, temporal trends and outcome of aortic dissection with particular emphasis on sex differences. METHODS ANDEntities:
Keywords: Aortic dissection; Endovascular; Mortality; Population-based; Sex differences; Treatment
Mesh:
Year: 2020 PMID: 32558879 PMCID: PMC7340356 DOI: 10.1093/eurheartj/ehaa446
Source DB: PubMed Journal: Eur Heart J ISSN: 0195-668X Impact factor: 29.983
Prevalence of concomitant disorders in all the 5757 patients, and separately in men (n = 3677) and in women (n = 2080), admitted with aortic dissection in Sweden 2002–2016 prior to the first event and within 90 days from the index event
| Prior to index event | At discharge or within 90 days from index event | |||||||
|---|---|---|---|---|---|---|---|---|
| Total, | Women, | Men, |
| Total, | Women, | Men, |
| |
| Hypertension | 126 (2%) | 38 (2%) | 88 (2%) | 0.158 | 2184 (38%) | 747 (36%) | 1437 (39%) | 0.017 |
| Ischaemic heart disease | 24 (0.4%) | 10 (1%) | 14 (0%) | 0.572 | 207 (4%) | 74 (4%) | 133 (4%) | 0.907 |
| Heart failure | 27 (1%) | 7 (0%) | 20 (1%) | 0.269 | 246 (4%) | 87 (4%) | 159 (4%) | 0.799 |
| Atrial fibrillation | 44 (1%) | 15 (1%) | 29 (1%) | 0.777 | 766 (13%) | 272 (13%) | 494 (13%) | 0.701 |
| Any heart disease | 146 (3%) | 46 (2%) | 100 (3%) | 0.239 | 2604 (46%) | 888 (43%) | 1726 (47%) | 0.004 |
| Stroke/TIA | 9 (0.2%) | 2 (0%) | 7 (0%) | 0.385 | 367 (6%) | 121 (6%) | 246 (7%) | 0.193 |
| Kidney failure | 12 (0.2%) | 2 (0%) | 10 (0%) | 0.160 | 284 (5%) | 79 (4%) | 205 (6%) | 0.003 |
| Diabetes | 19 (0.3%) | 19 (0%) | 1 (0%) | 0.005 | 194 (3%) | 64 (3%) | 130 (4%) | 0.354 |
Concomitant disorders in all hospitalized patients with aortic dissection in Sweden prior to admission as well as at discharge combined with data from within 90 days from the admission date. Proportions are described for men and women separately and compared with the χ2 test, presented with P-value.
Acute and delayed surgical management, in total and in three different 5-year time periods
| Surgical management | Total ( | 2002–2006 ( | 2007–2011 ( | 2012–2016 ( |
|
|---|---|---|---|---|---|
| Acute aortic surgery | 1807 (31%) | 478 (27%) | 603 (31%) | 726 (35%) | <0.001 |
| Type A—acute surgery | 1609 (28%) | 438 (25%) | 544 (28%) | 627 (30%) | 0.001 |
| Type B—acute surgery | 198 (3%) | 40 (2%) | 59 (3%) | 99 (5%) | <0.001 |
| Delayed aortic surgery | 260 (5%) | 93 (5%) | 83 (4%) | 84 (4%) | 0.176 |
| Type A—delayed surgery | 100 (2%) | 27 (2%) | 28 (2%) | 45 (2%) | 0.116 |
| Type B—delayed surgery | 160 (3%) | 66 (4%) | 55 (3%) | 39 (2%) | 0.002 |
Proportions of hospitalized patients that were treated with surgery during the three 5-year time periods. Acute is defined as surgery within 14 days from admission and any later surgery is defined as delayed. The proportion of patients with type B dissection treated with endovascular repair was 82% for acute surgery and 76% for delayed surgery. P-values refer to differences between the time groups, trends, analysed with the χ2 test.
Chance of being subjected to operative management, defined as any acute aortic surgery (A) and TEVAR (B), respectively, and the association to index year, sex, and age in all hospitalized patients (n = 5757)
| A | Mean age (SD) | Crude results ( | Adjusted results OR (CI 95%) |
|---|---|---|---|
| Men ( | 61 (12) | 1195 (33%) | 1 |
| Women ( | 65 (11) | 612 (29%) | 1.09 (0.96–1.23) |
| 5-year time groups | |||
| 2002–2006 | 62 (12) | 478 (27%) | 1 |
| 2007–2011 | 62 (12) | 603 (31%) | 1.31 (1.13–1.52) |
| 2012–2016 | 64 (12) | 726 (35%) | 1.61 (1.40–1.87) |
| Age categories | |||
| 18–49 ( | 246 (48%) | 1 | |
| 50–59 ( | 409 (44%) | 0.87 (0.70–1.08) | |
| 60–69 ( | 594 (39%) | 0.67 (0.55–0.82) | |
| 70–79 ( | 481 (29%) | 0.43 (0.35–0.53) | |
| 80–99 ( | 77 (9%) | 0.08 (0.06–0.10) | |
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| Men ( | 65 (11) | 118 (3%) | 1 |
| Women ( | 67 (14) | 45 (2%) | 0.69 (0.48–0.98) |
| 5-year time groups | |||
| 2002–2006 | 65 (14) | 25 (1%) | 1 |
| 2007–2011 | 64 (11) | 53 (3%) | 2.11 (1.31–3.43) |
| 2012–2016 | 67 (12) | 85 (4%) | 3.08 (1.96–4.85) |
| Age categories | |||
| 18–49 ( | 14 (3%) | 1 | |
| 50–59 ( | 36 (4%) | 1.51 (0.81–2.85) | |
| 60–69 ( | 45 (3%) | 1.06 (0.57–1.95) | |
| 70–79 ( | 51 (3%) | 1.15 (0.63–2.12) | |
| 80–99 ( | 17 (2%) | 0.69 (0.48–0.98) | |
The association between index year, sex, and age, respectively, and acute surgical management analysed with multiple logistic regression models. Index year was divided into three 5-year time periods, comparing the latter two periods to the first (reference). The patients were divided into five different age strata analysing the first age category as reference. Mean age is shown for men and women as well as mean patient age of each time period. Models are adjusted for index year, sex, and age, respectively, as well as for concomitant disorders.
Short-term mortality and association with index year, sex, and age
| All admitted ( | Acute surgically treated ( | |||||
|---|---|---|---|---|---|---|
| Age, mean (SD) | 30-day mortality | Adjusted OR (95% CI) | Age, mean (SD) | 30-day mortality | Adjusted OR (95% CI) | |
| Men | 66 (13) | 759 (21%) | 1 | 61 (12) | 144 (12%) | 1 |
| Women | 71 (12) | 548 (26%) | 1.11 (0.97–1.27) | 65 (11) | 111 (17%) | 1.38 (1.04–1.82) |
| 5-year time groups | ||||||
| 2002–2006 | 67 (13) | 455 (26%) | 1 | 62 (12) | 81 (17%) | 1 |
| 2007–2011 | 68 (13) | 426 (22%) | 0.78 (0.67–0.91) | 62 (12) | 80 (13%) | 0.74 (0.52–1.03) |
| 2012–2016 | 69 (13) | 426 (21%) | 0.68 (0.59–0.80) | 64 (12) | 89 (12%) | 0.64 (0.46–0.88) |
| Age categories | ||||||
| 18–49 | 62 (12%) | 1 | 25 (10%) | 1 | ||
| 50–59 | 119 (13%) | 1.06 (0.76–1.47) | 43 (11%) | 1.00 (0.59–1.69) | ||
| 60–69 | 240 (16%) | 1.34 (0.99–1.81) | 75 (13%) | 1.22 (0.75–1.97) | ||
| 70–79 | 404 (25%) | 2.31 (1.73–3.09) | 85 (18%) | 1.84 (1.13–2.97) | ||
| 80–99 | 482 (43%) | 5.34 (3.98–7.16) | 22 (29%) | 3.33 (1.73–6.41) | ||
Multiple logistic regression models analysing 30-day mortality and the association between index year, sex, and age for all admitted patients and in acute surgically treated, respectively. The 15-year study period was divided into three 5-year time groups where the latter two time groups were compared with the first time group. Patients were divided into five different age groups and the latter four were compared to the first age group. Mean age is presented for each time period and for men and women, respectively. Models are adjusted for index year, sex, and age, respectively as well as for concomitant disorders.
Presentation of contemporary reports on aortic dissection including epidemiological studies and studies focusing on sex differences
| Reference | Study design | Number of patients | Mean age | Percentage of women | Incidence per 100 000 |
|---|---|---|---|---|---|
| Howard | Population based | 155 | 72 | 40% | 6.0 |
| Clouse | Population based | 39 | 67 | 36% | 3.5 |
| McClure | Population based | 5966 | 66 | 39% | 4.6 |
| Melvinsdottir | Population based | 153 | 67 | 39% | 2.5 |
| Nienaber | IRAD | 1078 | 62 | 32% | — |
| Sex differences | |||||
| Conway | Multicentre | 251 | 67 | 31% | — |
| Sex differences | |||||
| Liang | Population based | 9855 | 66 | 43% | — |
| Sex differences | |||||
| Maitusong | Multicentre | 400 | 51 | 24% | — |
| Sex differences | |||||
| Pape | IRAD | 4428 | 63 | 37% | — |
| Lombardi | STABLE | 40 | 58 | 30% | — |
| Smedberg | Population based | 8057 | 68 | 36% | 7.2 |
Important studies on aortic dissection including number of patients as well as sex- and age distribution. In epidemiological studies, incidence is presented.