Characteristics and Treatment Outcomes of Acute Type A Aortic Dissection With Elevated D-Dimer Concentration

Impact of D-dimer on in-hospital mortality following aortic dissection: A systematic review and meta-analysis

BACKGROUND

The utility of D-dimer (DD) as a biomarker for acute aortic dissection (AD) is recognized. Yet, its predictive value for in-hospital mortality remains uncertain and subject to conflicting evidence.

AIM

To conduct a meta-analysis of AD-related in-hospital mortality (ADIM) with elevated DD levels.

METHODS

We searched PubMed, Scopus, Embase, and Google Scholar for AD and ADIM literature through May 2022. Heterogeneity was assessed using I 2 statistics and effect size (hazard or odds ratio) analysis with random-effects models. Sample size, study type, and patients' mean age were used for subgroup analysis. The significance threshold was P < 0.05.

RESULTS

Thirteen studies (3628 patients) were included in our study. The pooled prevalence of ADIM was 20% (95%CI: 15%-25%). Despite comparable demographic characteristics and comorbidities, elevated DD values were associated with higher ADIM risk (unadjusted effect size: 1.94, 95%CI: 1.34-2.8; adjusted effect size: 1.12, 95%CI: 1.05-1.19, P < 0.01). Studies involving patients with a mean age of < 60 years exhibited an increased mortality risk (effect size: 1.43, 95%CI: 1.23-1.67, P < 0.01), whereas no significant difference was observed in studies with a mean age > 60 years. Prospective and larger sample size studies (n > 250) demonstrated a heightened likelihood of ADIM associated with elevated DD levels (effect size: 2.57, 95%CI: 1.30-5.08, P < 0.01 vs effect size: 1.05, 95%CI: 1.00-1.11, P = 0.05, respectively).

CONCLUSION

Our meta-analysis shows elevated DD increases in-hospital mortality risk in AD patients, highlighting the need for larger, prospective studies to improve risk prediction models.

Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery

BACKGROUND

Acute Type A aortic dissection (ATAAD) is a life-threatening cardiovascular disease associated with high mortality rates, where surgical intervention remains the primary life-saving treatment. However, the mortality rate for ATAAD operations continues to be alarmingly high. To address this critical issue, our study aimed to assess the correlation between preoperative laboratory examination, clinical imaging data, and postoperative mortality in ATAAD patients. Additionally, we sought to establish a reliable prediction model for evaluating the risk of postoperative death.

METHODS

In this study, a total of 384 patients with acute type A aortic dissection (ATAAD) who were admitted to the emergency department for surgical treatment were included. Based on preoperative laboratory examination and clinical imaging data of ATAAD patients, logistic analysis was used to obtain independent risk factors for postoperative in-hospital death. The survival prediction model was based on cox regression analysis and displayed as a nomogram.

RESULTS

Logistic analysis identified several independent risk factors for postoperative in-hospital death, including Marfan syndrome, previous cardiac surgery history, previous renal dialysis history, direct bilirubin, serum phosphorus, D-dimer, white blood cell, multiple aortic ruptures and age. A survival prediction model based on cox regression analysis was established and presented as a nomogram. The model exhibited good discrimination and significantly improved the prediction of death risk in ATAAD patients.

CONCLUSIONS

In this study, we developed a novel survival prediction model for acute type A aortic dissection based on preoperative clinical features. The model demonstrated good discriminatory power and improved accuracy in predicting the risk of death in ATAAD patients undergoing open surgery.

D-dimer measurement is useful irrespective of time from the onset of acute aortic syndrome symptoms

BACKGROUND

In acute aortic syndrome (AAS) screening, D-dimer is a well-established biomarker whose usefulness has been scarcely studied with respect to its measurement timing. We aimed to evaluate the effectiveness of D-dimer-based AAS screening focused on the time interval between AAS onset and D-dimer measurement.

METHODS

We retrospectively analyzed consecutive patients diagnosed with AAS who visited our hospital between 2011 and 2021. For the primary analysis, we divided patients according to the quartiles of the time interval between AAS symptom onset and D-dimer measurement. D-dimer level ≥ 0.5 μg/mL and age-adjusted D-dimer ≥ [age (years) × 0.01] μg/mL (minimum of 0.5 μg/mL) were defined as positive. The primary endpoint was the comparative ability of D-dimer to detect AAS within and between each time quartile. In an exploratory secondary analysis, we reported patient and AAS characteristics in the subgroup of patients who underwent repeat D-dimer measurement within 48 h of the first D-dimer measure.

RESULTS

The 273 AAS patients were divided into four groups based on quartiles of the time interval (Group 1, ≤1 h; Group 2, 1-2 h; Group 3, 2-5 h; and Group 4, >5 h). There were no significant differences in D-dimer levels or in the proportions with positive D-dimer (Group 1: 97%, Group 2: 96%, Group 3: 99%, Group 4: 99%; P = 0.76) or positive age-adjusted D-dimer (Group 1: 96%, Group 2: 90%, Group 3: 96%, Group 4: 97%; P = 0.32) between the groups. Of the 147 patients who had D-dimer re-measured, nine had negative D-dimer levels on either the primary or secondary measurement. Of these nine patients, eight had AAS with a thrombosed false lumen and one with a patent false lumen had a short length of dissection. In all nine patients, D-dimer levels remained low (maximum of 1.4 μg/mL).

CONCLUSION

D-dimer levels were elevated from the early stages of AAS. The clinical utility of D-dimer is not affected by the time interval from AAS onset to D-dimer measurement, but rather is influenced by AAS characteristics.

Admission D-dimer to lymphocyte counts ratio as a novel biomarker for predicting the in-hospital mortality in patients with acute aortic dissection

BACKGROUND

Inflammatory factors are well-established indicators for vascular disease, but the D-dimer to lymphocyte count ratio (DLR) is not measured in routine clinical care. Screening of DLR in individuals may identify individuals at in-hopital mortality of acute aortic dissection (AD).

METHODS

A retrospective analysis of clinical data from 2013 to 2020 was conducted to identify which factors were related to in-hospital mortality risk of AD. Baseline clinical features, cardiovascular risk factors, and laboratory parameters were obtained from the hospital database. The end point was in-hospital mortality. Forward conditional logistic regression was performed to identify independent risk factors for AA in-hospital death. The cutoff value of the DLR should be ideally calculated by receiver operating characteristic (ROC) analysis.

RESULTS

The in-hospital mortality rate was 15% (48 of 320 patients). Patients with in-hospital mortality had a higher admission mean DLR level than the alive group (1740 vs. 1010, P < .05). The cutoff point of DLR was 907. The in-hospital mortality rate in the high-level DLR group was significantly higher than that in the low-level DLR group (P < .05). Univariate analysis showed that 8 of 38 factors were associated with in-hospital mortality (P < .05), including admission WBC, neutrophils, lymphocytes, neutrophils/lymphocytes (NLR), prothrombin time (PT), heart rate (HR), D-dimer, and DLR. In multivariate analysis, DLR (odds ratio [OR] 2.127, 95% CI 1.034-4.373, P = 0.040), HR (odds ratio [OR] 1.016, 95% CI 1.002-1.030, P = 0.029) and PT (odds ratio [OR] 1.231, 95% CI 1.018-1.189, P = 0.032) were determined to be independent predictors of in-hospital mortality (P < .05).

CONCLUSION

Compared with the common clinical parameters PT and HR, serum DLR level on admission is an uncommon but independent parameter that can be used to assess in-hospital mortality in patients with acute AD.

Development and validation of a nomogram for postoperative severe acute kidney injury in acute type A aortic dissection

BACKGROUND

Postoperative acute kidney injury (AKI) is a major complication associated with increased morbidity and mortality after surgery for acute type A aortic dissection (AAAD). To the best of our knowledge, risk prediction models for AKI following AAAD surgery have not been reported. The goal of the present study was to develop a prediction model to predict severe AKI after AAAD surgery.

METHODS

A total of 485 patients who underwent AAAD surgery were enrolled and randomly divided into the training cohort (70%) and the validation cohort (30%). Severe AKI was defined as AKI stage III following the Kidney Disease: Improving Global Outcomes criteria. Preoperative variables, intraoperative variables and postoperative data were collected for analysis. Multivariable logistic regression analysis was performed to select predictors and develop a nomogram in the study cohort. The final prediction model was validated using the bootstrapping techniques and in the validation cohort.

RESULTS

The incidence of severe AKI was 23.0% (n = 78), and 14.7% (n = 50) of patients needed renal replacement treatment. The hospital mortality rate was 8.3% (n = 28), while for AKI patients, the mortality rate was 13.1%, which increased to 20.5% for severe AKI patients. Univariate and multivariate analyses showed that age, cardiopulmonary bypass time, serum creatinine, and D-dimer were key predictors for severe AKI following AAAD surgery. The logistic regression model incorporated these predictors to develop a nomogram for predicting severe AKI after AAAD surgery. The nomogram showed optimal discrimination ability, with an area under the curve of 0.716 in the training cohort and 0.739 in the validation cohort. Calibration curve analysis demonstrated good correlations in both the training cohort and the validation cohort.

CONCLUSIONS

We developed a prognostic model including age, cardiopulmonary bypass time, serum creatinine, and D-dimer to predict severe AKI after AAAD surgery. The prognostic model demonstrated an effective predictive capability for severe AKI, which may help improve risk stratification for poor in-hospital outcomes after AAAD surgery.

Massive Bleeding After Surgical Repair in Acute Type A Aortic Dissection Patients: Risk Factors, Outcomes, and the Predicting Model

Background

Massive bleeding throughout aortic repair in acute type A aortic dissection (ATAAD) patients is a common but severe condition that can cause multiple serious clinical problems. Here, we report our findings regarding risk factors, short-term outcomes, and predicting model for massive bleeding in ATAAD patients who underwent emergent aortic repair.

Methods

A universal definition of perioperative bleeding (UDPB) class 3 and 4 were used to define massive bleeding and comprehensively evaluate patients. A total of 402 consecutive patients were enrolled in this retrospective study during 2019. Surgical strategies used to perform aortic arch procedures included total arch and hemiarch replacements. In each criterion, patients with massive bleeding were compared with remaining patients. Multivariable regression analyses were used to identify independent risk factors for massive bleeding. Logistic regression was used to build the model, and the model was evaluated with its discrimination and calibration.

Results

Independent risk factors for massive bleeding included male sex (OR = 6.493, P &lt; 0.001), elder patients (OR = 1.029, P = 0.05), low body mass index (BMI) (OR = 0.879, P = 0.003), emergent surgery (OR = 3.112, P = 0.016), prolonged cardiopulmonary bypass time (OR = 1.012, P = 0.002), lower hemoglobin levels (OR = 0.976, P = 0.002), increased D-dimer levels (OR = 1.000, P = 0.037), increased fibrin degradation products (OR = 1.019, P = 0.008), hemiarch replacement (OR = 5.045, P = 0.037), total arch replacement (OR = 14.405, P = 0.004). The early-stage mortality was higher in massive bleeding group (15.9 vs. 3.9%, P = 0.001). The predicting model showed a well discrimination (AUC = 0.817) and calibration (χ2 = 5.281, P = 0.727 &gt; 0.05).

Conclusion

Massive bleeding in ATAAD patients who underwent emergent aortic repair is highly associated with gender, emergent surgery, increased D-dimer levels, longer CPB time, anemia, and use of a complex surgical strategy. Since massive bleeding may lead to worse outcomes, surgeons should choose suitable surgical strategies in patients who are at a high risk of massive bleeding.

High Neutrophil-to-Platelet Ratio Is Associated with Poor Survival in Patients with Acute Aortic Dissection

BACKGROUND

Acute aortic dissection (AAD), a serious and fatal cardiovascular disease, is characterized by inflammation that may further aggravate the condition. We evaluated the value of the neutrophil-to-platelet ratio (NPR) in the prognosis of AAD.

METHODS

We collected records of patients with AAD and clinical data from 2010 to 2020 and followed up on the relevant information for 136 months. The Kaplan-Meier (K-M) survival along with the univariate and multivariate Cox analyses was used to examine the prognostic value of NPR in AAD. In addition, nomograms were constructed by combining NPR, age, Stanford typing, and treatment methods. The accuracy of nomograms was evaluated using calibration plots, and the prediction efficiency of nomograms was evaluated by receiver operating characteristic curve analysis and decision curve analysis (DCA).

RESULTS

The K-M analysis showed that AAD patients with higher NPR exhibited worse prognosis. In addition, different Stanford typing and treatment methods produced varied prognosis results. Univariate and multivariate Cox analyses showed that NPR value, age, classification, and treatment were independent prognostic factors for the overall survival time of patients with AAD. Nomograms constructed by combining NPR, age, Stanford typing, and treatment methods showed good predictive efficacy, and the AUC values for 1-, 3-, and 5-year predicting were 0.82, 0.79, and 0.74, respectively.

CONCLUSIONS

Our results suggest that pretreatment NPR can be used as a potential prognostic marker of overall survival time in patients with AAD.

Serum sodium on admission affects postoperative in-hospital mortality in acute aortic dissection patients

Background

Acute aortic dissection (AAD) is very fatal without surgical treatment. Higher serum sodium can increase in-hospital mortality of many diseases; however, the effect of serum sodium on postoperative in-hospital mortality in AAD patients remains unknown.

Methods

We collected a total of 415 AAD patients from January 2015 to December 2019. Patients were classified into four categories (Q1-Q4) according to the admission serum sodium quartile. The cox proportional hazards model evaluated the association between serum sodium and in-hospital mortality. All-cause in-hospital mortality was set as the endpoint.

Results

By adjusting many covariates, cox proportional hazards model revealed the in-hospital mortality risk of both Q3 and Q4 groups was 3.086 (1.242–7.671, P = 0.015) and 3.370 (1.384–8.204, P = 0.007) respectively, whereas the risk of Q2 group was not significantly increased. Univariate and multiple Cox analysis revealed that Stanford type A, serum glucose, α-hydroxybutyrate dehydrogenase and serum sodium were risk factors correlated with in-hospital death in AAD patients.

Conclusion

The study indicates that the admission serum sodium of AAD patients has a vital impact on postoperative hospital mortality.

Development and evaluation of an early death risk prediction model after acute type A aortic dissection

Background

The purpose of the study was to assess the relationship between preoperative laboratory examination, clinical imaging data, and postoperative death of patients with acute type A aortic dissection (ATAAD) and to establish a prediction model of hospital death risk after the operation.

Methods

A total of 224 cases of acute Standford A aortic dissection were treated by total arch replacement using a tetrafurcate graft with stented elephant trunk implantation in Tianjin Chest Hospital. Based on preoperative laboratory examination and clinical imaging data of patients with ATAAD, the independent risk factors of postoperative hospital death were obtained using logistic analysis, and a risk prediction model of postoperative hospital death was developed.

Results

Independent risk factors of postoperative death in patients with ATAAD were: body mass index (BMI), preoperative neutrophil to lymphocyte ratio (NLR), mean platelet volume (MPV), creatinine (Cr), D-dimer, high-sensitive cardiac troponin T (hs-CTnT), apolipoprotein A1, left subclavian artery involvement, and iliac artery involvement. The regression equation of postoperative death risk was: logitP1 = −9.584 + 1.060 × NLR + 1.586 × MPV + 1.009 × Cr + 1.067 × D-dimer + 2.023 × hs-CTnT; the regression equation of postoperative death risk was: logitP2 = −3.296 + 3.242 × left subclavian artery involved + 4.564 × iliac artery involved; the regression equation of postoperative death risk was: logitP3 = −12.864 + 1.149 × BMI + 4.731 × left subclavian artery involved + 4.150 × iliac artery involved + 1.064 × NLR + 1.011 × Cr + 1.084 × D-dimer + 2.242 × hs-CTnT + 3.233 × apolipoprotein A1.

Conclusions

BMI, NLR, MPV, Cr, D-dimer, hs-CTnT, apolipoprotein A1, left subclavian artery involvement and iliac artery involvement can affect the hospital mortality rate of aortic dissection undergoing Sun’s operation to varying degrees, which may be helpful to guide the design of the perioperative treatment strategy.

An increased prothrombin time-international normalized ratio in patients with acute type A aortic dissection: contributing factors and their influence on outcomes

PURPOSE

We investigated factors contributing to coagulopathy in patients with acute type A aortic dissection (ATAAD) and coagulopathy's influence on patient outcomes.

METHODS

We grouped 420 patients who underwent ATAAD repair-none under anticoagulation therapy or with liver disease-by the prothrombin time-international normalized ratio (PT-INR) at admission:  <  1.2 (no coagulopathy, n  =  371), 1.2-1.49 (mild coagulopathy, n  =  33), or  ≥  1.5 (severe coagulopathy, n  =  16). We then compared the clinical presentation, dissection morphology, and outcomes among the groups. We assessed the PT-INR in relation to the preoperative hemodynamics and searched for factors predictive of a PT-INR  ≥  1.2.

RESULTS

The transfusion volume and operation time were increased among patients with coagulopathy (P  <  0.05). The in-hospital mortality (15.2-37.5% vs. 5.1%, P  < 0.001) and 5-year survival (61.1-74.4% vs. 87.6%) were relatively poor for these patients. The median PT-INR was 1.03 (0.97-1.1) for patients with stable hemodynamics (n  =  318), 1.11 (1.02-1.21) for those in shock (blood pressure  <  80 mmHg) not given cardiopulmonary resuscitation (CPR) (n  =  81), and 1.1 (1.0-1.54) for those in shock given CPR (n  =  21) (P  < 0.001). A multivariable analysis identified shock (P  <  0.001), a partially thrombosed false lumen (P  =  0.006), and mesenteric malperfusion (P  =  0.016) as predictive variables.

CONCLUSIONS

Shock, a partially thrombosed false lumen, and mesenteric malperfusion appear to be predictive of dissection-related coagulopathy, which influences outcomes negatively.

A simple model predicting in-hospital death in patients with type A acute aortic dissection

BACKGROUND

Type A acute aortic dissection (TAAAD) is a destructive cardiovascular disease, with high morbidity and mortality rates. Identifying the high-risk TAAAD patients at an early stage is urgently necessary.

METHODS

A retrospective study of 160 patients was carried out. The admission data were retrospectively gathered. Logistic regression analysis and receiver operator characteristic curve (AUC) was utilized.

RESULTS

Compared with the survivor group, the nonsurvivor group was older, had higher D-dimer levels, red blood cell distribution width (RDW) levels and platelet distribution width (PDW) levels, and lower fibrinogen levels, platelet levels and plateletcrit levels. Multivariate analysis displayed that four independent factors, age (hazard ratio (HR): 7.877, 95% confidence interval (CI) 2.740-22.641, p < 0.001), D-dimer (HR: 3.791, 95% CI 1.520-9.452, p = 0.004), RDW (HR: 3.300, 95% CI 1.109-9.825, p = 0.032), PDW (HR: 3.755, 95% CI 1.436-9.815, p = 0.007) were incorporated into the model. The predict accuracy of the model (AUC 0.861, 95% CI 0.798-0.911, p < 0.001) was best.

CONCLUSIONS

Age, D-dimer, RDW and PDW are independent markers of in-hospital death in TAAAD patients and the newly established model has better performance in predicting high-risk patients. This model can be used as a quick screening tool to assess the prognosis of patients in individualizing.

OPG/TRAIL ratio as a predictive biomarker of mortality in patients with type A acute aortic dissection

Following hospital discharge, patients with type A acute aortic dissection (TA-AAD) may present an increase in mortality risk. However, little is known about specific biomarkers associated with post-discharge survival, and there is a paucity of prognostic markers associated with TA-AAD. Here, we identify nine candidate proteins specific for patietns with TA-AAD in a cross-sectional dataset by unbiased protein screening and in-depth bioinformatic analyses. In addition, we explore their association with short-term and long-term mortality in a derivation cohort of patients with TA-AAD, including an internal (n = 300) and external (n = 236) dataset. An elevated osteoprotegerin (OPG)/tumour necrosis factor-related apoptosis-inducing ligand (TRAIL) ratio was the strongest predictor of overall, 30-day, post-30-day mortality in both datasets and was confirmed to be a strong predictor of mortality in an independent validation cohort (n = 400). Based on OPG/TRAIL ratio-guided risk stratification, patients at high risk (>33) had a higher 1-year mortality (55.6% vs. 4.3%; 68.2% vs. 2.6%) than patients at low risk (<4) in both cohorts. In Conclusion, we show that an elevated OPG/TRAIL ratio is associated with a significant increase in short-term and long-term mortality in patients with TA-AAD.

Characteristics and prognosis of acute type A aortic dissection with negative D-dimer result

BACKGROUND

Evidence regarding the characteristics and prognosis in acute type A aortic dissection (AAD) patients with negative D-dimer result is limited. We aimed to investigate the characteristics and prognosis in AAD patients with negative D-dimer result.

METHODS AND RESULTS

370 AAD patients within 24 h of symptom onset were enrolled in a hospital in China from January 2014 to December 2018. Nine (2.43%) and 361 (97.57%) exhibited negative and positive D-dimer results, respectively. The average age of nine negative D-dimer result participants was 47.67 ± 10.95 years old, and about seven (77.78%) of them were male. The negative group showed a significantly lower blood pressure, white blood cell, hemoglobin, activated partial thromboplastin, ejection fraction and symptom with pain than the positive group. Multivariate analysis showed white blood cell (×10⁹/L) (P = 0.008; odds ratio, 0.566) and symptom with pain (P < 0.001; odds ratio, 0.013) were significantly related to a negative result. The result of the fully-adjusted model showed negative D-dimer result was negatively associated with in-hospital mortality compared with positive group in AAD patients after adjusting confounders (OR = 0.34, 95%CI 0.01 to 10.82).

CONCLUSIONS

Negative D-dimer result is strongly influenced by white blood cell and symptom with pain. Negative D-dimer result was negatively associated with in-hospital mortality compared with positive group in AAD patients.

Prognostic nutritional index predicts in-hospital mortality in patients with acute type A aortic dissection

BACKGROUND

The prognostic nutritional index (PNI) has recently been reported to associate with the surgical prognosis of patients with some cardiovascular diseases. However, the prognosis significance of the preoperative PNI in patients with acute type A aortic dissection (AAAD) remains unclear.

OBJECTIVES

The present study aimed to explore the relationship between PNI and postoperative in-hospital mortality in patients with AAAD.

METHODS

Between June 2013 and December 2019, we retrospectively reviewed the clinical data of 651 patients undergoing AAAD surgery. Patients were divided into two groups according to the median PNI. The risk factors of postoperative in-hospital mortality were identified by univariate and multivariate logistic regression analysis.

RESULTS

In-hospital mortality was significantly more common in the low group (24.8% vs 16.3%: P = .007). The percentage of prolonged mechanical ventilation (58.9% vs 49.8%: P = .020) and the median duration of intensive care unit stays (7.0 vs 6.0 days: P = .003) were also higher and longer in the low group. Multivariate logistic regression analysis showed that the PNI, age, hypertension, and operation time independently predicted in-hospital mortality. Besides, compared with patients with a history of hypertension, the low PNI affected in-hospital mortality more than those without (odds ratio [OR]: 2.07; 95% confidence interval [CI]: 1.20-3.56; P = .009).

CONCLUSIONS

Lower PNI may be independently associated with in-hospital mortality of patients after AAAD surgery.

Efficacy of interleukin-6 in combination with D-dimer in predicting early poor postoperative prognosis after acute stanford type a aortic dissection

Background

We studied early poor postoperative prognosis in acute Stanford type A aortic dissection (ATAAD) patients and investigated the predictive effect of interleukin-6 (IL-6) combined with D-dimer in the early poor postoperative prognosis after ATAAD.

Methods

Data on 141 ATAAD patients, who underwent emergency surgery between January 2018 and December 2018 at our hospital, were studied. We analyzed early postoperative prognosis using two patient groups. Patients with good prognosis were included in group A and those with poor prognosis were in group B. Univariate logistic and multivariable logistic regression analysis were performed for poor early postoperative prognosis.

Results

Preoperative IL-6 level was lower (57.8 ± 39.0 vs 211.0 ± 153.7 pg/mL, p < 0.001) and the D-dimer was also lower (7.3 ± 6.1 vs. 16.7 ± 5.8 μg/mL, p < 0.001) in group A than in B. The cut-off points, determined by the ROC curve, were preoperative IL-6 > 108 pg/mL (area under the curve: AUC = 0.901) and D-dimer > 14.0 μg/mL (AUC = 0.817). Univariate logistic regression analysis showed that IL-6 > 108 pg/mL, D-dimer > 14.0 μg/mL, prothrombin time > 15 s, creatinine > 135 mmol/mL, and operation time > 306 min for ATAAD appeared to be early postoperative risk factors of poor prognosis. Multivariable logistic regression analysis showed that IL-6 > 108 pg/mL and D-dimer > 14.0 μg/mL were early postoperative risk factors for poor prognosis after ATAAD, and the odds ratios (ORs) of IL-6 > 108 pg/mL and D-dimer > 14.0 μg/mL were 24.937 (6.837, 90.931) and 18.757 (5.094, 69.075), respectively. When IL-6 was > 108 pg/mL (AUC = 0.901), the sensitivity and specificity of predicting early postoperative prognosis after ATAAD were 79.4 and 89.7%, respectively (95% confidence interval [CI] 0.839 to 0.963). When D-dimer was > 14.0 g/mL (AUC = 0.817), the sensitivity and specificity were 82.4 and 84.1%, respectively (95% CI 0.731 to 0.903). When combined with D-dimer (AUC = 0.936) (95% CI 0.793 to 0.979), the AUC values were more predictive than those for the individual marker.

Conclusion

IL-6 > 108 pg/mL and D-dimer > 14.0 μg/mL is of high predictive value for the assessment of early poor postoperative prognosis after ATAAD. And IL-6 > 108 pg/mL in combination with D-dimer > 14.0 μg/mL is of higher predictive value.

A nomogram for predicting in-hospital mortality in acute type A aortic dissection patients

Background

Although there are several biomarkers for identifying in-hospital mortality in acute type A aortic dissection (AAD), timely as well as perfect prediction in-hospital mortality is still not attained. Herein, we intend to develop as well to validate an in-hospital mortality risk independent predictive nomogram for AAD patients.

Methods

From January 2014 to December 2018, 703 individuals with AAD were involved in this study. They were indiscriminately categorized into training (n=520) and validation (n=183) sets. The univariate and multivariate analyses were used to screen in-hospital mortality predictors from the entire training set data. The predictors were used to establish a nomogram which was confirmed via internal as well as external authentication. This validation included discriminative capacity defined by the receiver operating characteristic (ROC) curve area under the curve (AUC) and the predictive precision via calibration curves.

Results

There was 33.43% in-hospital mortality overall incidence. The uric acid, D-dimer, C-reactive protein and management were individually related to in-hospital mortality as per multivariate logistic regression. On the basis of four variables with internal of AUC 0.901 and external validation of AUC 0.903, a nomogram was established. Calibration plots showed that the predicted and actual in-hospital mortality probabilities were fitted well on both internal and external validation.

Conclusions

This recommended nomogram can calculate the specific possibility of in-hospital mortality with good precision, high discrimination, and probable clinical application in AAD patients.

Factors related to white blood cell elevation in acute type A aortic dissection

Aortic dissection may induce a systemic inflammatory reaction. The etiological backgrounds for elevation of the white blood cell count remain to be clarified. In 466 patients with acute type A aortic dissection treated surgically within 48 hours of symptom onset, the etiologic background of an elevated admission white blood cell count and the effect of such elevation on outcomes were assessed retrospectively. Patients’ white blood cell count differed significantly in relation to the extent of dissection, with a median (25th, 75th percentile) white blood cell count of 10.4 (8.1, 13.9) x 10³/μL for dissection confined to the ascending aorta, 10.5 (8.2,13.) 10³/μL for dissection extending to the aortic arch/descending aorta, 11.1 (8.2, 13.7) x 10³/μL for extension to the abdominal aorta, and 13.3 (9.8, 15.9) x 10³/μL for extension to the iliac artery (p<0.001). With 11.0 x 10^3/μL used as the cut-off value for white blood cell count elevation, multivariable analysis showed current smoking (p<0.001; odds ratio, 2.79), dissection extending to the iliac artery (p = 0.006; odds ratio, 1.79), age (p = 0.007, odds ratio, 0.98), and no coronary ischemia (p = 0.027, odds ratio, 2.22) to be factors related to the elevated white blood cell count. Mean age differed significantly between patients with and without an elevated white blood cell count (62.3 vs. 68.3 years, p <0.001). Although in-hospital mortality was similar (7.5% vs.10.9%, p = 0.19), 5-year survival was lower in patients without an elevated count (85.7% vs. 78.6%, p = 0.019), reflecting their more advanced age. In conclusion, our data suggest that dissection morphology and patient age influence the acute phase systemic inflammatory response associated with an elevated white blood cell count in patients with ATAAD. A better understanding of this relation may help optimize diagnosis and perioperative care.

Preoperative uric acid predicts in-hospital death in patients with acute type a aortic dissection

Background

The present study aimed to evaluate the value of admission serum uric acid (UA) level in predicting in-hospital risk of death in patients with acute type A aortic dissection (AAAD).

Methods

From January 2016 to June 2019, 186 consecutive patients with AAAD who underwent thoracic aortic surgery were retrospectively studied. Serum UA levels were measured on admission. Forward conditional logistic regression was performed to identify independent risk factors for in-hospital death. Receiver operating characteristic (ROC) analysis was performed to assess the most clinical useful level of serum UA for predicting postoperative in-hospital mortality.

Results

Increased level of serum UA was found in non-survivors compared with those survived (446 ± 123 vs 371 ± 111 umol/L, p < 0.001). Age (OR = 1.063, 95% CI 1.016–1.112, p = 0.009), UA (OR = 1.006, 95% CI 1.002–1.010, p = 0.002), D-dimer (OR = 1.025, 95% CI 1.005–1.013, p = 0.012), operation time (OR = 1.009, 95% CI 1.005–1.013, p < 0.001) and extent of aortic replacement (OR = 0.412, 95% CI 0.220–0.768, p = 0.005) were identified as independent risk factors of in-hospital mortality in AAAD patients. The best cut-off value of admission serum UA in predicting in-hospital mortality was determined to be 415 umol/L. Subgroup analysis showed that in the subgroup of total arch replacement, UA was significantly associated with in-hospital death (OR = 1.010, 95% CI 1.005–1.015, p < 0.001), while in patients underwent ascending aorta replacement or hemiarch replacement, the relationship was no longer significant (OR = 1.001, 95% CI 0.996–1.006, p = 0.611).

Conclusions

Elevated serum UA level on admission is an independent predictor of in-hospital mortality in patients with AAAD.

Surgical outcomes of acute type A aortic dissection in dialysis patients

BACKGROUND

Acute type A aortic dissection (ATAAD) is relatively uncommon in dialysis patients, and characteristics and repair outcomes are not fully understood.

PATIENTS AND METHODS

Patients with ATAAD (n = 960) were divided into a dialysis group (n = 19) and non-dialysis group (n = 941), depending on whether they required dialysis for preoperative end-stage renal disease (ESRD). Hospital charts and imaging data were reviewed, and characteristics and outcomes were compared between the groups. Segmental aortic wall or intima/media flap calcification in the thoracic and abdominal aorta was assessed in the dialysis patients.

RESULTS

The leading primary causes of ESRD were polycystic kidney disease (n = 5) and chronic glomerulonephritis (n = 5). There were no significant differences (dialysis group vs. non-dialysis group) in age (60.5 vs. 64.5 years), preoperative hemodynamics, or organ ischemia. Dialysis patients were more likely to have an entry tear in the aortic arch (42% vs. 15%, p = 0.003). These patients showed moderate-to-severe calcification (multiple focal or single focal calcification > 10 mm) in the ascending aorta (17%), aortic arch (61%), descending aorta (67%), and abdominal aorta (83%). Arch replacement was common in this group (37% vs. 18%, p = 0.030). Although in-hospital mortality was increased in this group (21% vs. 7%, p = 0.059), morbidities did not differ significantly. Six-year survival was 60.3 ± 13.4% and 78.8 ± 1.6%, respectively (p = 0.01).

CONCLUSIONS

Dialysis patients tend to have aortic calcification and a primary tear in the aortic arch. Outcomes are acceptable.