Abstract

OBJECTIVES

Acute Type A aortic dissection remains a life-threatening disease, but there are indications that its surgical mortality is decreasing. The aim of this report was to study how surgical mortality has changed and what influences those changes.

METHODS

Nordic Consortium for Acute Type A Aortic Dissection is a retrospective database comprising 1159 patients (mean age 61.6 ± 12.2 years, 68% male) treated for acute Type A aortic dissection at 8 centres in Denmark, Finland, Iceland and Sweden from 2005 to 2014. Data gathered included demographics, symptoms, type of procedure, complications and 30-day mortality.

RESULTS

The annual number of operations increased significantly from 85 in 2005 to 150 in 2014 (P < 0.001). Chest pain was present in 85% of patients, 24% were hypotensive on presentation and 28% had malperfusion syndrome. Open distal anastomosis technique under hypothermic circulatory arrest was used in 85% of cases and its use increased significantly throughout the study. The 30-day mortality decreased from 24% in 2005 to 13% in 2014 (P = 0.003). Independent predictors for 30-day mortality were preoperative cardiac arrest, malperfusion syndrome, Penn Class C, Penn Class B and C and cardiopulmonary bypass time, whereas later calendar year and higher hospital operative volumes predicted improved survival.

CONCLUSIONS

Surgical mortality for acute Type A aortic dissection remains high but has decreased significantly over the last decade. This correlated with later year of operation and increased the number of operations performed per year, indicating that cumulative surgical experience contributes significantly to improved surgical outcomes.

INTRODUCTION

Acute Type A aortic dissection (ATAAD) represents two-thirds of all acute thoracic dissections and, by definition, involves the ascending aorta and to varying degree the aortic arch and the descending aorta [1]. Death and complications occur due to free rupture of the aorta, cardiac tamponade, acute aortic insufficiency as well as from complications related to malperfusion syndromes such as stroke, myocardial ischaemia and mesenteric ischaemia [1–3]. ATAAD requires immediate surgical intervention, because the in-hospital mortality rate is excessively high without surgery [4]. Contemporary methods of Type A repair include the use of hypothermic circulatory arrest (HCA), suturing the distal anastomosis without the application of aortic cross-clamp (open distal anastomosis), resection of primary tear, hemiarch and/or ascending aortic replacement with tube graft and repair or replacement of the aortic root as well as developments of dedicated centres with aortic dissection programmes [5, 6]. The short-term outcome following ATAAD repair has improved over the last 2 decades, but the specific reasons for this improvement are not well defined [4, 7, 8]. The Nordic Consortium for Acute Type A Aortic Dissection (NORCAAD) is a collaborative effort of 8 hospitals in Denmark, Finland, Iceland and Sweden, where data were collected for patients operated on for ATAAD from 2005 to 2014. The aim of this study was to analyse short-term outcomes following ATAAD repair, postulating that short-term mortality has decreased due to modulation of specific risk factors and operative techniques.

MATERIALS AND METHODS

Data were retrospectively collected for all patients who underwent an operation for acute Type A aortic dissection from 1 January 2005 to 31 December 2014 at the following NORCAAD centres: Aarhus University Hospital, Skejby, Denmark; Karolinska University Hospital, Stockholm, Sweden; Landspitali University Hospital, Reykjavik, Iceland; Orebro University Hospital, Orebro, Sweden; Sahlgrenska University Hospital, Gothenburg, Sweden; Skane University Hospital, Lund, Sweden; Tampere University Hospital, Tampere, Finland; Turku University Hospital, Turku, Finland. Data were not collected for patients admitted to hospital centres not undergoing an operation for ATAAD. All participating sites were cardiac surgery referral centres. The study design has been previously described with a total of 194 clinical variables were collected for each patient [9]. Postoperative complications were generally defined as in the Society of Thoracic Surgeon data set and are listed in Supplementary Methods. The length of hospital stay was recorded in days, both in the intensive care unit (ICU) and on a general ward at the hospital where the operation was performed. Primary outcome measure for the study was 30-day mortality, but the rationale for using 30-day mortality instead of hospital mortality was to circumvent potential difference in discharges to referring hospitals or rehabilitation centres. National identity registries exist in all the Nordic countries allowing for complete capture of survival status so patients were not lost to follow-up after hospital discharge. The study was approved by each of the participating institutions. Patients were coded prior to inclusion into the database. As individual patients were not identified, obtaining individual consent for the study was waived.

Statistical analysis

Continuous variables were expressed as mean ± standard deviation and categorical variables as percentages. Student’s t-test was used for continuous variables and χ2 and Fisher’s exact test for categorical variables. Odds ratios for predictors of 30-day mortality were estimated with logistic regression. Independent predictors of 30-day mortality were identified with multivariate logistic regression. Variables were selected into initial model based on the degree of significance from univariate regression and clinical relevance. This included age, hypertension, diabetes mellitus, chronic obstructive pulmonary disease, prior sternotomy, preoperative arrest, cardiac tamponade, hypotension/shock, any malperfusion syndrome, root replacement, total arch replacement, open distal anastomosis, cardiopulmonary bypass time, Penn Class, total hospital volume, annual hospital volume, use of antegrade cerebral perfusion and calendar year of surgery. Cases with missing values for the above variables were excluded from final analysis. There were 117 events of 30-day mortality in the final model. Using forward and backward stepwise selection and multivariate logistic regression model, we selected the final model (Table 5) based on the lowest Akaike information criterion, which was used as a measure of the relative quality of the model. Receiver operating characteristic curve was used to assess discrimination of the logistic model. The final model had the highest area under the curve (0.807) of all tested models. Data were collected using Microsoft Excel® (Microsoft, Redmond, WA, USA), and statistical calculations were performed using R [10].

RESULTS

There were a total of 1159 operations performed over the 10-year period at the 8 participating institutions (mean 144.9 and range 30–262). The annual number for each hospital ranged from 1 to 44 and has been previously described [9]. This is further delineated in Supplementary Material, Table S1. The total number of operations performed per year increased from 85 in 2005 to 150 in 2014 (Fig. 1).

Number of operations performed for acute Type A aortic dissection each year from 2005 to 2014. Line shows linear regression, and the shaded area indicates 95% confidence interval. Odds ratio 1.130, P < 0.001.
Figure 1

Number of operations performed for acute Type A aortic dissection each year from 2005 to 2014. Line shows linear regression, and the shaded area indicates 95% confidence interval. Odds ratio 1.130, P < 0.001.

Demographics of the patients are summarized in Table 1. Males were 68% of the cohort, and the mean age was 61.6 ± 2.2 years. The majority of the patients (52%) had a history of hypertension and history of smoking was present in 34% of the patients. Bicuspid aortic valve was present in 6% of patients, 10% had a known history of thoracic aortic aneurysm (TAA), 8% had a family history of aortic dissection and 5% had a family history of TAA.

Table 1:

Preoperative demographics

NMeanSD
Age, years115961.612.2
Body mass index, kg/m295926.74.7

NnPercentage

Male gender115978468
Hypertension115759952
Peripheral vascular disease1145343
Prior Type B dissection1145182
Diabetes mellitus1154262
Hyperlipidaemia115113712
History of stroke1156474
History of transient ischaemic attack1155172
History of chronic kidney disease1155212
End-stage renal disease115630
Chronic obstructive lung disease1155696
History of coronary artery disease1154484
History of smoking10913713
History of TAA11541112
Connective tissue disease1155565
Marfan syndrome1155494
Bicuspid aortic valve1147696
Family history of dissection835648
Family history of TAA835405
Prior aortic surgery1151222
Prior sternotomy963303
NMeanSD
Age, years115961.612.2
Body mass index, kg/m295926.74.7

NnPercentage

Male gender115978468
Hypertension115759952
Peripheral vascular disease1145343
Prior Type B dissection1145182
Diabetes mellitus1154262
Hyperlipidaemia115113712
History of stroke1156474
History of transient ischaemic attack1155172
History of chronic kidney disease1155212
End-stage renal disease115630
Chronic obstructive lung disease1155696
History of coronary artery disease1154484
History of smoking10913713
History of TAA11541112
Connective tissue disease1155565
Marfan syndrome1155494
Bicuspid aortic valve1147696
Family history of dissection835648
Family history of TAA835405
Prior aortic surgery1151222
Prior sternotomy963303

N: number of patients; n: number of positives; SD: standard deviation; TAA: thoracic aortic aneurysm.

Table 1:

Preoperative demographics

NMeanSD
Age, years115961.612.2
Body mass index, kg/m295926.74.7

NnPercentage

Male gender115978468
Hypertension115759952
Peripheral vascular disease1145343
Prior Type B dissection1145182
Diabetes mellitus1154262
Hyperlipidaemia115113712
History of stroke1156474
History of transient ischaemic attack1155172
History of chronic kidney disease1155212
End-stage renal disease115630
Chronic obstructive lung disease1155696
History of coronary artery disease1154484
History of smoking10913713
History of TAA11541112
Connective tissue disease1155565
Marfan syndrome1155494
Bicuspid aortic valve1147696
Family history of dissection835648
Family history of TAA835405
Prior aortic surgery1151222
Prior sternotomy963303
NMeanSD
Age, years115961.612.2
Body mass index, kg/m295926.74.7

NnPercentage

Male gender115978468
Hypertension115759952
Peripheral vascular disease1145343
Prior Type B dissection1145182
Diabetes mellitus1154262
Hyperlipidaemia115113712
History of stroke1156474
History of transient ischaemic attack1155172
History of chronic kidney disease1155212
End-stage renal disease115630
Chronic obstructive lung disease1155696
History of coronary artery disease1154484
History of smoking10913713
History of TAA11541112
Connective tissue disease1155565
Marfan syndrome1155494
Bicuspid aortic valve1147696
Family history of dissection835648
Family history of TAA835405
Prior aortic surgery1151222
Prior sternotomy963303

N: number of patients; n: number of positives; SD: standard deviation; TAA: thoracic aortic aneurysm.

Symptoms on presentation are summarized in Table 2. Nearly all of the patients (85%) had chest pain on presentation, almost quarter of the patients (24%) were hypotensive or in shock (SBP <90 mmHg) on arrival to a hospital and 17% had cardiac tamponade. Malperfusion syndrome was present in 28% of the patients and most commonly affected lower extremities (16%), the brain (9%) and the heart (9%).

Table 2:

Symptoms on presentation

NMeanSD
SBP, mmHg894122.438.4
DBP, mmHg75269.922.3

NnPercentage

Sudden pain115298185
Hypotension or shock107325424
Syncope112222820
Preoperative arrest1155575
Pericardial effusion113347442
 Haemopericardium28325
 Cardiac tamponade19117
Malperfusion (any)115131828
 Cardiac1029899
 Mesenteric1030364
 Renal1030646
 Lower extremity102816116
 Upper extremity1029828
 Cerebral1031909
 Spinal1030283
DeBakey Type I115184674
Intramural haematoma1140918
Iatrogenic dissection1159121
Penn Class1149
 A: no ischaemia70962
 B: localized ischaemia24621
 C: generalized ischaemia12611
 B and C: both686
NMeanSD
SBP, mmHg894122.438.4
DBP, mmHg75269.922.3

NnPercentage

Sudden pain115298185
Hypotension or shock107325424
Syncope112222820
Preoperative arrest1155575
Pericardial effusion113347442
 Haemopericardium28325
 Cardiac tamponade19117
Malperfusion (any)115131828
 Cardiac1029899
 Mesenteric1030364
 Renal1030646
 Lower extremity102816116
 Upper extremity1029828
 Cerebral1031909
 Spinal1030283
DeBakey Type I115184674
Intramural haematoma1140918
Iatrogenic dissection1159121
Penn Class1149
 A: no ischaemia70962
 B: localized ischaemia24621
 C: generalized ischaemia12611
 B and C: both686

N: number of patients; SD: standard deviation; n: number of positives; SBP: systolic blood pressure; DBP: diastolic blood pressure.

Table 2:

Symptoms on presentation

NMeanSD
SBP, mmHg894122.438.4
DBP, mmHg75269.922.3

NnPercentage

Sudden pain115298185
Hypotension or shock107325424
Syncope112222820
Preoperative arrest1155575
Pericardial effusion113347442
 Haemopericardium28325
 Cardiac tamponade19117
Malperfusion (any)115131828
 Cardiac1029899
 Mesenteric1030364
 Renal1030646
 Lower extremity102816116
 Upper extremity1029828
 Cerebral1031909
 Spinal1030283
DeBakey Type I115184674
Intramural haematoma1140918
Iatrogenic dissection1159121
Penn Class1149
 A: no ischaemia70962
 B: localized ischaemia24621
 C: generalized ischaemia12611
 B and C: both686
NMeanSD
SBP, mmHg894122.438.4
DBP, mmHg75269.922.3

NnPercentage

Sudden pain115298185
Hypotension or shock107325424
Syncope112222820
Preoperative arrest1155575
Pericardial effusion113347442
 Haemopericardium28325
 Cardiac tamponade19117
Malperfusion (any)115131828
 Cardiac1029899
 Mesenteric1030364
 Renal1030646
 Lower extremity102816116
 Upper extremity1029828
 Cerebral1031909
 Spinal1030283
DeBakey Type I115184674
Intramural haematoma1140918
Iatrogenic dissection1159121
Penn Class1149
 A: no ischaemia70962
 B: localized ischaemia24621
 C: generalized ischaemia12611
 B and C: both686

N: number of patients; SD: standard deviation; n: number of positives; SBP: systolic blood pressure; DBP: diastolic blood pressure.

Operative variables are summarized in Table 3. With respect to proximal repair, the root was replaced in 26% of cases, most often by performing a mechanical composite root replacement (68%). With regard to distal repair, either ascending aortic or hemiarch replacement was performed in majority of the cases, while the total arch was replaced in 6% of the patients. Open distal anastomosis performed without application of aortic cross-clamp during HCA was performed in 85% of cases with varying perfusion strategies. The primary tear was identified in majority of patients in the ascending aorta and was excised in 78% of cases.

Table 3:

Operative variables

NMeanSD
Operative time, min924364.3134.8
CPB time, min1059207.178.7
Cross-clamp time, min1030105.856.6
HCA time, min90530.018.1
Lowest temperature, °C103720.94.8

NnPercentage

Proximal surgery1156
 Ascending graft—root spared84573
  Valve resuspension + ascending45639
  Ascending graft only34730
  AVR + ascending343
  Ascending only (prior AVR)81
 Root replacement30026
  Mechanical composite20318
  Biocomposite656
  Valve sparing323
 Undefined111
Distal surgery1145
 Ascending aorta81571
 Hemiarch25022
 Total arch666
 Undefined109
Open distal anastomosis115397785
HCA technique1042
 HCA only47646
 SACP29228
 RCP25324
 SACP and RCP81
 Unknown or other131
Primary tear1118
 Root14413
 Ascending aorta67560
 Arch11610
 Descending aorta121
 Ascending and arch60
Primary tear excised113287778
Glue used106332130
Felt used91161768
NMeanSD
Operative time, min924364.3134.8
CPB time, min1059207.178.7
Cross-clamp time, min1030105.856.6
HCA time, min90530.018.1
Lowest temperature, °C103720.94.8

NnPercentage

Proximal surgery1156
 Ascending graft—root spared84573
  Valve resuspension + ascending45639
  Ascending graft only34730
  AVR + ascending343
  Ascending only (prior AVR)81
 Root replacement30026
  Mechanical composite20318
  Biocomposite656
  Valve sparing323
 Undefined111
Distal surgery1145
 Ascending aorta81571
 Hemiarch25022
 Total arch666
 Undefined109
Open distal anastomosis115397785
HCA technique1042
 HCA only47646
 SACP29228
 RCP25324
 SACP and RCP81
 Unknown or other131
Primary tear1118
 Root14413
 Ascending aorta67560
 Arch11610
 Descending aorta121
 Ascending and arch60
Primary tear excised113287778
Glue used106332130
Felt used91161768

N: number of patients; SD: standard deviation; CPB: cardiopulmonary bypass; HCA: hypothermic circulatory arrest; n: number of positives; AVR: aortic valve replacement; SACP: selective antegrade cerebral perfusion; RCP: retrograde cerebral perfusion.

Table 3:

Operative variables

NMeanSD
Operative time, min924364.3134.8
CPB time, min1059207.178.7
Cross-clamp time, min1030105.856.6
HCA time, min90530.018.1
Lowest temperature, °C103720.94.8

NnPercentage

Proximal surgery1156
 Ascending graft—root spared84573
  Valve resuspension + ascending45639
  Ascending graft only34730
  AVR + ascending343
  Ascending only (prior AVR)81
 Root replacement30026
  Mechanical composite20318
  Biocomposite656
  Valve sparing323
 Undefined111
Distal surgery1145
 Ascending aorta81571
 Hemiarch25022
 Total arch666
 Undefined109
Open distal anastomosis115397785
HCA technique1042
 HCA only47646
 SACP29228
 RCP25324
 SACP and RCP81
 Unknown or other131
Primary tear1118
 Root14413
 Ascending aorta67560
 Arch11610
 Descending aorta121
 Ascending and arch60
Primary tear excised113287778
Glue used106332130
Felt used91161768
NMeanSD
Operative time, min924364.3134.8
CPB time, min1059207.178.7
Cross-clamp time, min1030105.856.6
HCA time, min90530.018.1
Lowest temperature, °C103720.94.8

NnPercentage

Proximal surgery1156
 Ascending graft—root spared84573
  Valve resuspension + ascending45639
  Ascending graft only34730
  AVR + ascending343
  Ascending only (prior AVR)81
 Root replacement30026
  Mechanical composite20318
  Biocomposite656
  Valve sparing323
 Undefined111
Distal surgery1145
 Ascending aorta81571
 Hemiarch25022
 Total arch666
 Undefined109
Open distal anastomosis115397785
HCA technique1042
 HCA only47646
 SACP29228
 RCP25324
 SACP and RCP81
 Unknown or other131
Primary tear1118
 Root14413
 Ascending aorta67560
 Arch11610
 Descending aorta121
 Ascending and arch60
Primary tear excised113287778
Glue used106332130
Felt used91161768

N: number of patients; SD: standard deviation; CPB: cardiopulmonary bypass; HCA: hypothermic circulatory arrest; n: number of positives; AVR: aortic valve replacement; SACP: selective antegrade cerebral perfusion; RCP: retrograde cerebral perfusion.

Postoperative complications are summarized in Table 4. Complications occurred in 75% of the patients who arrived to the ICU. The most common complications were new-onset postoperative atrial fibrillation (39%), prolonged time on a ventilator (33%), acute kidney injury (39%), mental status changes (22%), reoperation for bleeding (22%) and new perioperative stroke (20%). Median stay in the ICU was 4 (mean 5.8 ± 4.8) days and the median total hospital stay was 9.5 (mean 14.2 ± 16.9) days. Throughout the study period, the 30-day mortality was 18% and hospital mortality was 16%, which included deaths occurring in the operating room in 7% of cases in 7% of cases. The 30-day mortality decreased from 24% in 2005 to 13% in 2014 [odds ratio (OR) 0.921, 95% confidence interval (CI) 0.873–0.971, P = 0.003] (Fig. 2). The rate of intraoperative death did not change significantly throughout the study period (OR 0.940, 95% CI 0.866–1.020, P = 0.134).

Table 4:

Postoperative complications

NnPercentage
Any complication107880775
Reoperation for bleeding107323122
Perioperative myocardial injury1068646
Postoperative stroke107321220
Postoperative transient ischaemic attack1061525
Coma97310611
Neurological changes863
 Hemiparesis/plegia9411
 Paraparesis/plegia142
 Coma364
 Aphasia81
 Posterior circulation stroke10
 Seizures121
 Other607
Mental status changes84118122
Deep sternal wound infection1073242
Superficial sternal wound infection1063262
Lower extremity infection780111
Sepsis107011210
Urinary tract infection757253
Acute kidney injury102040139
Renal replacement therapy107113012
Ventilator >48 h105935433
Tracheostomy required1071979
Pulmonary embolism74791
Pneumonia106918117
Pleural effusion drainage92110812
Acute limb ischaemia1067414
Lower extremity operation944354
Heart block requiring pacemaker944323
Postoperative arrest1064575
Anticoagulation complications856324
Postoperative cardiac tamponade107215915
Gastrointestinal complications961526
Multisystem organ failure956546
Postoperative atrial fibrillation106443239
Deep venous thrombosis95050
NnPercentage
Any complication107880775
Reoperation for bleeding107323122
Perioperative myocardial injury1068646
Postoperative stroke107321220
Postoperative transient ischaemic attack1061525
Coma97310611
Neurological changes863
 Hemiparesis/plegia9411
 Paraparesis/plegia142
 Coma364
 Aphasia81
 Posterior circulation stroke10
 Seizures121
 Other607
Mental status changes84118122
Deep sternal wound infection1073242
Superficial sternal wound infection1063262
Lower extremity infection780111
Sepsis107011210
Urinary tract infection757253
Acute kidney injury102040139
Renal replacement therapy107113012
Ventilator >48 h105935433
Tracheostomy required1071979
Pulmonary embolism74791
Pneumonia106918117
Pleural effusion drainage92110812
Acute limb ischaemia1067414
Lower extremity operation944354
Heart block requiring pacemaker944323
Postoperative arrest1064575
Anticoagulation complications856324
Postoperative cardiac tamponade107215915
Gastrointestinal complications961526
Multisystem organ failure956546
Postoperative atrial fibrillation106443239
Deep venous thrombosis95050

Intraoperative deaths were excluded. For definition of complications, see Geirsson et al. [9].

N: number of patients; n: number of positives.

Table 4:

Postoperative complications

NnPercentage
Any complication107880775
Reoperation for bleeding107323122
Perioperative myocardial injury1068646
Postoperative stroke107321220
Postoperative transient ischaemic attack1061525
Coma97310611
Neurological changes863
 Hemiparesis/plegia9411
 Paraparesis/plegia142
 Coma364
 Aphasia81
 Posterior circulation stroke10
 Seizures121
 Other607
Mental status changes84118122
Deep sternal wound infection1073242
Superficial sternal wound infection1063262
Lower extremity infection780111
Sepsis107011210
Urinary tract infection757253
Acute kidney injury102040139
Renal replacement therapy107113012
Ventilator >48 h105935433
Tracheostomy required1071979
Pulmonary embolism74791
Pneumonia106918117
Pleural effusion drainage92110812
Acute limb ischaemia1067414
Lower extremity operation944354
Heart block requiring pacemaker944323
Postoperative arrest1064575
Anticoagulation complications856324
Postoperative cardiac tamponade107215915
Gastrointestinal complications961526
Multisystem organ failure956546
Postoperative atrial fibrillation106443239
Deep venous thrombosis95050
NnPercentage
Any complication107880775
Reoperation for bleeding107323122
Perioperative myocardial injury1068646
Postoperative stroke107321220
Postoperative transient ischaemic attack1061525
Coma97310611
Neurological changes863
 Hemiparesis/plegia9411
 Paraparesis/plegia142
 Coma364
 Aphasia81
 Posterior circulation stroke10
 Seizures121
 Other607
Mental status changes84118122
Deep sternal wound infection1073242
Superficial sternal wound infection1063262
Lower extremity infection780111
Sepsis107011210
Urinary tract infection757253
Acute kidney injury102040139
Renal replacement therapy107113012
Ventilator >48 h105935433
Tracheostomy required1071979
Pulmonary embolism74791
Pneumonia106918117
Pleural effusion drainage92110812
Acute limb ischaemia1067414
Lower extremity operation944354
Heart block requiring pacemaker944323
Postoperative arrest1064575
Anticoagulation complications856324
Postoperative cardiac tamponade107215915
Gastrointestinal complications961526
Multisystem organ failure956546
Postoperative atrial fibrillation106443239
Deep venous thrombosis95050

Intraoperative deaths were excluded. For definition of complications, see Geirsson et al. [9].

N: number of patients; n: number of positives.

Thirty-day mortality following operations for acute Type A aortic dissection from 2005 to 2014. Line shows linear regression, and the shaded area indicates 95% confidence interval. Odds ratio 0.921, P = 0.003.
Figure 2

Thirty-day mortality following operations for acute Type A aortic dissection from 2005 to 2014. Line shows linear regression, and the shaded area indicates 95% confidence interval. Odds ratio 0.921, P = 0.003.

Univariate logistic regression for 30-day mortality was performed for all demographics, medical history, clinical symptoms on presentation, method of diagnosis and operative variables. All significant (P < 0.05) variables associated with 30-day mortality are presented in Supplementary Material, Table S2. Temporal change of variables associated with 30-day mortality and potentially clinically relevant variables were assessed by linear regression analysis. This revealed significant increased use of open distal anastomosis technique (OR 1.117, 95% CI 1.055–1.183, P < 0.001), increased use of antegrade cerebral perfusion (OR 1.214, 95% CI 1.152–1.282, P < 0.001) and increased number of operations performed per year (OR 1.130, 95% CI 1.103–1.157, P < 0.001) for each consecutive year of the study.

Using stepwise selection and multivariate logistic regression analysis, independent positive predictors for 30-day mortality were determined to be preoperative arrest, any malperfusion syndrome, Penn Class C, Penn Class B and C as well as cardiopulmonary bypass time (Table 5). Later calendar year of operation (2004–2015) and total hospital volume, however, predicted improved 30-day mortality (Table 5).

Table 5:

Thirty-day mortality: multivariate logistic regression

OR95% CIP-value
Age1.020.99–1.040.096
Hypertension1.460.92–2.350.111
Diabetes mellitus2.950.72–11.00.115
Chronic obstructive lung disease2.120.89–4.820.081
Preoperative arrest2.91.06–5.760.034
Hypotension/shock0.540.27–1.050.077
Cardiac tamponade1.500.87–2.580.141
Any malperfusion syndrome3.841.87–7.90<0.001
Penn Class B (localized ischaemia)0.790.34–1.890.586
Penn Class C (general ischaemia)4.191.98–8.93<0.001
Penn Class B and C (both)3.251.12–9.420.030
CPB time, min1.011.00–1.01<0.001
Hospital volume—total0.990.99–1.000.046
Year of surgerya0.900.83–0.970.011
OR95% CIP-value
Age1.020.99–1.040.096
Hypertension1.460.92–2.350.111
Diabetes mellitus2.950.72–11.00.115
Chronic obstructive lung disease2.120.89–4.820.081
Preoperative arrest2.91.06–5.760.034
Hypotension/shock0.540.27–1.050.077
Cardiac tamponade1.500.87–2.580.141
Any malperfusion syndrome3.841.87–7.90<0.001
Penn Class B (localized ischaemia)0.790.34–1.890.586
Penn Class C (general ischaemia)4.191.98–8.93<0.001
Penn Class B and C (both)3.251.12–9.420.030
CPB time, min1.011.00–1.01<0.001
Hospital volume—total0.990.99–1.000.046
Year of surgerya0.900.83–0.970.011

N = 748 (631 controls, 117 events). Area under the curve 0.807; age as continuous variable.

OR: odds ratio; CI: confidence interval; CPB: cardiopulmonary bypass time.

a

Each calendar year from 2005 to 2014.

Table 5:

Thirty-day mortality: multivariate logistic regression

OR95% CIP-value
Age1.020.99–1.040.096
Hypertension1.460.92–2.350.111
Diabetes mellitus2.950.72–11.00.115
Chronic obstructive lung disease2.120.89–4.820.081
Preoperative arrest2.91.06–5.760.034
Hypotension/shock0.540.27–1.050.077
Cardiac tamponade1.500.87–2.580.141
Any malperfusion syndrome3.841.87–7.90<0.001
Penn Class B (localized ischaemia)0.790.34–1.890.586
Penn Class C (general ischaemia)4.191.98–8.93<0.001
Penn Class B and C (both)3.251.12–9.420.030
CPB time, min1.011.00–1.01<0.001
Hospital volume—total0.990.99–1.000.046
Year of surgerya0.900.83–0.970.011
OR95% CIP-value
Age1.020.99–1.040.096
Hypertension1.460.92–2.350.111
Diabetes mellitus2.950.72–11.00.115
Chronic obstructive lung disease2.120.89–4.820.081
Preoperative arrest2.91.06–5.760.034
Hypotension/shock0.540.27–1.050.077
Cardiac tamponade1.500.87–2.580.141
Any malperfusion syndrome3.841.87–7.90<0.001
Penn Class B (localized ischaemia)0.790.34–1.890.586
Penn Class C (general ischaemia)4.191.98–8.93<0.001
Penn Class B and C (both)3.251.12–9.420.030
CPB time, min1.011.00–1.01<0.001
Hospital volume—total0.990.99–1.000.046
Year of surgerya0.900.83–0.970.011

N = 748 (631 controls, 117 events). Area under the curve 0.807; age as continuous variable.

OR: odds ratio; CI: confidence interval; CPB: cardiopulmonary bypass time.

a

Each calendar year from 2005 to 2014.

DISCUSSION

The primary finding of this study is that the mortality of ATAAD has decreased significantly over the last 10 years, and this correlates with higher operative volume for ATAAD. In our cohort, the demographics, presentation and clinical condition of the patient prior to surgery are remarkably similar to the International Registry of Acute Aortic Dissection cohort, although history of hypertension and diabetes is less frequent in the present cohort [7]. The patients commonly arrived in a critical condition to the hospital, reflected by almost a quarter of the patients being in shock and almost one-sixth having cardiac tamponade. Malperfusion syndrome was present in one-quarter of patients, which is similar to reports from other centres [3, 11, 12]. As expected, postoperative complications were common, especially reoperation for bleeding, prolonged ventilator requirement and neurological complications. Rates of complications, however, are similar to most comparable studies from Europe and USA, although neurological complications in our study appear to be more frequent than reported in studies from the USA [5, 8, 13–15].

Operations for ATAAD remain high risk with contemporary data reporting operative mortality ranging between 12% and 31% [7, 8, 14, 16]. Although individual centres have reported mortality rates of 12–14%, and even as low as 3%, major registry and national database studies describe higher rates of 20–30%, which probably represent the true mortality rates of operation for ATAAD in most cardiac surgery centres in North America and Europe [5–7, 14, 16, 17]. In the present study, we observed a mean 30-day mortality of 18% over the 10-year study period, which is in accordance with both registry and single-centre studies mentioned previously. The 30-day mortality decreased significantly from 24% in 2005 to 13% in 2014, confirming the general notion among aortic surgeons that the outcome for ATAAD surgery is improving. Our findings support previously reported data from the Inpatient Medicare database, Nationwide Inpatient Sample, International Registry of Acute Aortic Dissection and a recent multicentre study in the USA, indicating reduced surgical mortality for ATAAD [7, 8, 14, 16].

We used stepwise selection and multivariate logistic regression analysis to identify independent predictors for 30-day mortality. Variables associated with higher risk of 30-day mortality included preoperative arrest, any malperfusion syndrome, Penn Class C (generalized ischaemia), Penn Class B and C (localized and general ischaemia) as well as longer time on cardiopulmonary bypass. Variables signifying precarious clinical condition on arrival to the hospital were the strongest determinants of short-term mortality, as has been distinctly outlined by the Penn Class stratification system [18, 19]. On the other hand, variables associated with decreased 30-day mortality were later calendar year of operation and higher total hospital volume.

When we analysed temporal variation (from 2005 to 2014) of risk factors for 30-day mortality, the number of operations performed per year, the use of open distal anastomosis technique and the use of antegrade cerebral perfusion techniques changed significantly during the 10 years of the study. The number of cases per year nearly doubled from 2005 to 2014. The rise in the number of operations for both TAA and dissection is well documented [20]. Whether this increase in the number of ATAAD cases is due to a rising incidence of aortic dissection is difficult to say, as it could also be related to improved diagnostics, increased awareness, more aggressive referral for an operation and/or change in patient selection. NORCAAD only contains data on patients undergoing an operation for ATAAD, and therefore, we can only speculate on that issue. The incidence for thoracic dissection in Sweden and Oxford, UK, appears to have increased over the last decades [20–22]. However, a large study from the US Medicare claim database showed no change in rates of hospitalizations for aortic dissections [16]. This is supported by a recent whole-population study from Iceland, indicating that the true incidence of acute thoracic aortic dissections has not changed significantly from 1992 to 2013; however, it did show a significant increase in the proportion of patients who underwent an operation for ATAAD [23]. Increased annual number of operations consequentially results in increased experience of both the centre and the surgeons treating ATAAD. This is in line with other studies demonstrating that increased experience in treating the condition is associated with better outcomes of ATAAD surgery and, most likely, explains the improved short-term outcome that we observed [14, 24]. As the current version of the NORCAAD database does not contain surgeon-specific information, we were not able to assess individual surgeon’s contribution to short-term outcome following surgery for AATAD. Based on these results, it rather appears that improvements in short-term mortality are dependent on cumulative hospital experience, which could include surgeon’s experience, better ICU care and systematic approaches to complex diseases.

The use of open distal anastomosis technique and antegrade cerebral perfusion increased significantly with every year of the study, but these techniques did not turn out to be independent predictors of 30-day mortality when controlled for total hospital volume in the multivariate logistic model. The rationale for use of open distal anastomosis includes better visualization of the dissected aorta, allowing for more accurate suture placement, proper exclusion of the false lumen as well as identification of primary tears and longitudinal arch tears. Despite being the preferred operative method to treat the distal aorta in ATAAD among aortic surgeons, there is surprisingly sparse evidence of the benefits of suturing the distal anastomosis under HCA without application of aortic cross-clamp, compared with closed anastomosis, where the aortic cross-clamp is left in place [25]. No randomized or prospective trial has studied this issue. The principal report by David et al. [26] showing that open anastomosis was associated with lower hospital mortality, lower risk of stroke, better long-term survival and higher rate of false lumen thrombosis was not large (n = 109 in total, 54 open) but resulted in a paradigm shift in how the distal anastomosis was approached. This study was followed by several studies that showed no difference in outcome when comparing open to closed distal anastomosis [27–30]. Only recently, a report from the USA demonstrated that the operative strategy of open anastomosis, deep HCA and antegrade cerebral perfusion was associated with improved overall survival [31]. Our study, however, seems to indicate that the use of open distal anastomosis by itself does not affect short-term mortality.

The main strength of NORCAAD is the uniform health care systems in Nordic countries with relatively stable homogeneous populations for which follow-up is nearly 100% complete through centralized national identity registries. The weaknesses of NORCAAD are inherent to all retrospective studies, such as incomplete data sets, missing potential confounders and treatment selection biases.

CONCLUSION

In conclusion, surgical mortality for ATAAD remains high but has decreased significantly over the last decade. In our study, this correlated with both increased number of operations performed per year and later year of operation, both representing the effects of increased operative experience on surgical outcomes. It should be expected that further advances in the management of this complex disease will continue to improve the short-term outcome of operative repair for ATAAD.

SUPPLEMENTARY MATERIAL

Supplementary material is available at EJCTS online.

ACKNOWLEDGEMENTS

The following individuals also contributed to the study: Erik Björklund, Josefine Carrell, Erik Herou, Sigrun H. Lund, Inga H. Melvinsdottir, Johan Sjögren and Khalil Ahmad.

Funding

This work was supported by Reykjavik, University of Iceland Research Fund and Landspitali Research Fund and The Mats Kleberg Foundation, Stockholm.

Conflict of interest: none declared.

REFERENCES

1

Golledge
J
,
Eagle
KA.
Acute aortic dissection
.
Lancet
2008
;
372
:
55
66
.

2

Anagnopoulos
C
,
Prabhakar
M
,
Kittle
C.
Aortic dissections and dissecting aneurysm
.
Am J Cardiol
1972
;
30
:
263
73
.

3

Geirsson
A
,
Szeto
WY
,
Pochettino
A
,
McGarvey
ML
,
Keane
MG
,
Woo
YJ
et al.
Significance of malperfusion syndromes prior to contemporary surgical repair for acute type A dissection: outcomes and need for additional revascularizations
.
Eur J Cardiothorac Surg
2007
;
32
:
255
62
.

4

Hagan
PG
,
Nienaber
CA
,
Isselbacher
EM
,
Bruckman
D
,
Karavite
DJ
,
Russman
PL
et al.
The International Registry of Acute Aortic Dissection (IRAD): new insights into an old disease
.
JAMA
2000
;
283
:
897
903
.

5

Geirsson
A
,
Bavaria
JE
,
Swarr
D
,
Keane
MG
,
Woo
YJ
,
Szeto
WY
et al.
Fate of the residual distal and proximal aorta after acute type A dissection repair using a contemporary surgical reconstruction algorithm
.
Ann Thorac Surg
2007
;
84
:
1955
64
.

6

Andersen
ND
,
Ganapathi
AM
,
Hanna
JM
,
Williams
JB
,
Gaca
JG
,
Hughes
GC.
Outcomes of acute type a dissection repair before and after implementation of a multidisciplinary thoracic aortic surgery program
.
J Am Coll Cardiol
2014
;
63
:
1796
803
.

7

Pape
LA
,
Awais
M
,
Woznicki
EM
,
Suzuki
T
,
Trimarchi
S
,
Evangelista
A
et al.
Presentation, diagnosis and outcomes of acute aortic dissection. 17-year trends from the International Registry of Acute Aortic Dissection
.
J Am Coll Cardiol
2015
;
66
:
350
8
.

8

Conway
BD
,
Stamou
SC
,
Kouchoukos
NT
,
Lobdell
KW
,
Khabbaz
KR
,
Murphy
E
et al.
Improved clinical outcomes and survival following repair of acute type A aortic dissection in the current era
.
Interact CardioVasc Thorac Surg
2014
;
19
:
971
7
.

9

Geirsson
A
,
Ahlsson
A
,
Franco-Cereceda
A
,
Fuglsang
S
,
Gunn
J
,
Hansson
EC
et al.
The Nordic Consortium for Acute Type A Aortic Dissection (NORCAAD): objectives and design
.
Scand Cardiovasc J
2016
;
50
:
334
40
.

10

R Development Core Team
(2008). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. http://www.R-project.org.

11

Fann
J
,
Smith
J
,
Miller
D
,
Mitchell
R
,
Moore
K
,
Grunkemeier
G
et al.
Surgical management of aortic dissection during a 30-year period
.
Circulation
1995
;
92
:
II113
21
.

12

Girardi
L
,
Krieger
K
,
Lee
L
,
Mack
C
,
Tortolani
A
,
Isom
O.
Management strategies for type A dissection complicated by peripheral vascular malperfusion
.
Ann Thorac Surg
2004
;
77
:
1309
14
.

13

Trimarchi
S
,
Nienaber
CA
,
Rampoldi
V
,
Myrmel
T
,
Suzuki
T
,
Mehta
RH
et al.
Contemporary results of surgery in acute type A aortic dissection: the International Registry of Acute Aortic Dissection experience
.
J Thorac Cardiovasc Surg
2005
;
129
:
112
22
.

14

Chikwe
J
,
Cavallaro
P
,
Itagaki
S
,
Seigerman
M
,
DiLuozzo
G
,
Adams
DH.
National outcomes in acute aortic dissection: influence of surgeon and institutional volume on operative mortality
.
Ann Thorac Surg
2013
;
95
:
1563
9
.

15

Conzelmann
LO
,
Weigang
E
,
Mehlhorn
U
,
Abugameh
A
,
Hoffmann
I
,
Blettner
M
et al.
Mortality in patients with acute aortic dissection type A: analysis of pre- and intraoperative risk factors from the German Registry for Acute Aortic Dissection Type A (GERAADA)
.
Eur J Cardiothorac Surg
2016
;
49
:
e44
52
.

16

Mody
PS
,
Wang
Y
,
Geirsson
A
,
Kim
N
,
Desai
MM
,
Gupta
A
et al.
Trends in aortic dissection hospitalizations, interventions, and outcomes among Medicare beneficiaries in the United States, 2000-2011
.
Circ Cardiovasc Qual Outcomes
2014
;
7
:
920
8
.

17

Goda
M
,
Imoto
K
,
Suzuki
S
,
Uchida
K
,
Yanagi
H
,
Yasuda
S
et al.
Risk analysis for hospital mortality in patients with acute type A aortic dissection
.
Ann Thorac Surg
2010
;
90
:
1246
50
.

18

Augoustides
JG
,
Geirsson
A
,
Szeto
WY
,
Walsh
EK
,
Cornelius
B
,
Pochettino
A
et al.
Observational study of mortality risk stratification by ischemic presentation in patients with acute type A aortic dissection: the Penn classification
.
Nat Clin Pract Cardiovasc Med
2009
;
6
:
1
7
.

19

Olsson
C
,
Hillebrant
C-G
,
Liska
J
,
Lockowandt
U
,
Eriksson
P
,
Franco-Cereceda
A.
Mortality in acute type A aortic dissection: validation of the Penn classification
.
Ann Thorac Surg
2011
;
92
:
1276
383
.

20

Olsson
C
,
Thelin
S
,
Stahle
E
,
Ekbom
A
,
Granath
F.
Thoracic aortic aneurysm and dissection. Increasing prevalence and improved outcomes reported in a nationwide population-based study of more than 14000 cases from 1987-2002
.
Circulation
2006
;
114
:
2611
8
.

21

Howard
DP
,
Banerjee
A
,
Fairhead
JF
,
Perkins
J
,
Silver
LE
,
Rothwell
PM.
Population-based study of incidence and outcome of acute aortic dissection and premorbid risk factor control
.
Circulation
2013
;
127
:
2031
7
.

22

Landenhed
M
,
Engstrom
G
,
Gottsater
A
,
Caulfield
MP
,
Hedblad
B
,
Newton-Cheh
C
et al.
Risk profiles for aortic dissection and ruptured or surgically treated aneurysm: a prospective cohort study
.
J Am Heart Assoc
2015
;
4
:
e001513.

23

Melvinsdottir
IH
,
Lund
SH
,
Agnarsson
BA
,
Sigvaldason
K
,
Gudbjartsson
T
,
Geirsson
A.
The incidence and mortality of acute thoracic aortic dissection: results from a whole nation study
.
Eur J Cardiothorac Surg
2016
;
50
:
1111
7
.

24

Lenos
A
,
Bougioukakis
P
,
Irimie
V
,
Zacher
M
,
Diegeler
A
,
Urbanski
PP.
Impact of surgical experience on outcome in surgery of acute type A aortic dissection
.
Eur J Cardiothorac Surg
2015
;
48
:
491
6
.

25

Myrmel
T
,
Lai
DT
,
Miller
DC.
Can the principles of evidence-based medicine be applied to the treatment of aortic dissections?
Eur J Cardiothorac Surg
2004
;
25
:
236
42
.

26

David
TE
,
Armstrong
S
,
Ivanov
J
,
Barnard
S.
Surgery for acute type A aortic dissection
.
Ann Thorac Surg
1999
;
67
:
1999
2001
.

27

Lai
DT
,
Robbins
RC
,
Mitchell
RS
,
Moore
KA
,
Oyer
PE
,
Shumway
NE
et al.
Does profound hypothermic circulatory arrest improve survival in patients with acute type A aortic dissection?
Circulation
2002
;
106
:
I218
I28
.

28

Malvindi
PG
,
Modi
A
,
Miskolczi
S
,
Kaarne
M
,
Velissaris
T
,
Barlow
C
et al.
Open and closed distal anastomosis for acute type A aortic dissection repair
.
Interact CardioVasc Thorac Surg
2016
;
22
:
776
83
.

29

Danner
BC
,
Natour
E
,
Horst
M
,
Dikov
V
,
Ghosh
PK
,
Dapunt
OE.
Comparison of operative techniques in acute type A aortic dissection performing the distal anastomosis
.
J Cardiac Surg
2007
;
22
:
105
10
.

30

Stamou
SC
,
Kouchoukos
NT
,
Hagberg
RC
,
Khabbaz
KR
,
Robicsek
F
,
Nussbaum
M
et al.
Does the technique of distal anastomosis influence clinical outcomes in acute type A aortic dissection?
Interact CardioVasc Thorac Surg
2011
;
12
:
404
8
.

31

Lawton
JS
,
Liu
J
,
Kulshrestha
K
,
Moon
MR
,
Damiano
RJ
,
Maniar
H
et al.
The impact of surgical strategy on survival after repair of type A aortic dissection
.
J Thorac Cardiovasc Surg
2015
;
150
:
294
301
.

Author notes

Presented at the 8th Annual Meeting of the Joint Scandinavian Conference in Cardiothoracic Surgery, Reykjavik, Iceland, 18–19 August 2016.

Supplementary data