The impact of age in acute type A aortic dissection: a retrospective study

Journal of Cardiothoracic Surgery(2022)

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摘要
Background Acute type A aortic dissection (aTAAD) is a lethal disease and age is an important risk factor for outcomes. This retrospective study was to analyze the impact of age stratification in aTAAD, and to provide clues for surgeons when they make choices of therapy strategies. Methods From January 2011 to December 2019, 1092 aTAAD patients from Nanjing Drum Tower Hospital received surgical therapy. Patients were divided into 7 groups according to every ten-year interval (20–80 s). The differences between the groups were analyzed in terms of the baseline preoperative conditions, surgical methods and postoperative outcomes of patients of different age groups. During a median follow-up term of 17 months, the survival rates were compared among 7 groups through Kaplan–Meier analysis. Results The median age was 52.0 years old in whole cohort. The multiple comorbidities were more common in old age groups (60 s, 70 s, 80 s), while the 20 s group patients had the highest proportion of Marfan syndrome (28.1%). Preoperative hypotension was highest in 80 s (16.7%, P = 0.038). Young age groups (20–60 s) had a higher rate of root replacement and total arch replacement, which led to a longer duration of operation and hypothermic circulation arrest. The overall mortality was 14.1%, the tendency of mortality was increased with age except 20 s group (33.3% in 80 s, P = 0.016). The postoperative morbidity of gastrointestinal bleeding and bowel ischemia were 16.7% and 11.1% in 80 s group. Conclusions Age is a major impact factor for aTAAD surgery. Old patients presented more comorbidities before surgery, the mortality and complications rate were significantly higher even with less invasive and conservative surgical therapy. But the favorable long-term survival indicated that the simple or less extensive arch repair is the preferred surgery for patients over 70 years old.
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关键词
Aortic dissection, Age, Surgical therapy
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