Acute lung injury is one of the common and serious complications of acute aortic dissection, and it greatly affects the recovery of patients. Old age, overweight, hypoxemia, smoking history, hypotension, extensive involvement of dissection and pleural effusion are possible risk factors for the acute lung injury before operation. In addition, deep hypothermia circulatory arrest and blood product infusion can further aggravate the acute lung injury during operation. In this paper, researches on risk factors, prediction model, prevention and treatment of acute aortic dissection with acute lung injury were reviewed, in order to provide assistance for clinical diagnosis and treatment.
Objective To modify the method for aortic end strengthening in acute type A aortic dissection operation, and investigate its clinical efficacy. Methods We modified the method for aortic end strengthening in acute aortic dissection operation based on ‘Sandwich method’ in the department of thoracic and cardiovascular surgery of West China Hospital. From January 2006 to December 2008, twentyeight patients with acute type A aortic dissection underwent modified aortic end strengthening operation. We made adventitia turn over and enfold to strengthen the aortic end in 10 cases, and placed stripshaped felt or pericardium belts between dissection (between adventitia and intima)and inner intima and strengthened the aortic end by suture in 18 cases. The hemorrhage of anastomotic stoma and the postoperative early prognosis were observed. Results No bleeding complication was found in all the cases. Two cases died, one died of severe low cardiac output syndrome and another died of multiple organ failure. No nervous system complication was found except that 2 cases had delayed revival. No sternum and surgical incision related complication was found. The rest 26 cases were cured and discharged. Conclusion The modified method for aortic end strengthening can not only strengthen the aortic end but also make people be able to find the petechia of anastomotic stoma clearly, then stitch hemostasia could be done effectively. The method is easy to implement and effective, it should be extend in clinic.
Objective To identify the predictors of prolonged stay in the intensive care unit (ICU) in patients undergoing surgery for acute aortic dissection type A. Methods We retrospectively analyzed the clinical data of 80 patients who underwent surgery for acute aortic dissection type A in Qingdao Municipal Hospital from December 2009 through December 2013. The mean age of the patients was 48.9±12.5 years, including 54 males (67.5%) and 26 females (32.5%). The patients were divided into two groups based on their stay time in the ICU. Prolonged length of ICU stay was defined as 5 days or longer time in the ICU postoperatively. There were 67 patients with length of ICU stay shorter than 5 days, 13 patients with length of ICU stay 5 days or longer time. Univariate and multivariate analysis (logistic regression) were used to identify the predictive risk factors. Results The length of ICU stay was 63.2±17.4 hours and 206.9±25.4 hours separately. Overall in-hospital mortality was 3.0% and 15.4% respectively in the two groups. In univariate analyses, there were statistically significant differences with respect to the age, the European system for cardiac operative risk evaluation (EuroSCORE), the preoperative D-dimmer level, total cardiopulmonary bypass (CPB) time, deep hypothermic circulatory arrest (DHCA), inotropes and occurrence of postoperative stroke, acute renal failure and acute respiratory failure, ICU stay duration and hospital stay duration between the patients with length of ICU stay shorter than 5 days and longer than 5 days. Multivariate logistic analysis showed that CPB time, occurrence of postoperative stroke, acute renal failure, or acute respiratory failure were independent predictors for prolonged ICU stay. Conclusion The incidence of prolonged ICU stay is high after surgery for acute aortic dissection type A. It can be predicted by CPB time, occurrence of postoperative stroke, acute renal failure, and acute respiratory failure were independent predictors for prolonged ICU stay. For patients with these risk factors, more perioperative care strategies are needed in order to shorten the ICU stay time.
ObjectiveTo investigate the value of preoperative clinical data and computed tomography angiography (CTA) data in predicting perioperative mortality risk in patients with acute aortic dissection (AAD), and to construct a Nomogram prediction model. MethodsA retrospective study was conducted on AAD patients treated at Affiliated Hospital of Zunyi Medical University from February 2013 to July 2023. Patients who died during the perioperative period were included in the death group, and those who improved during the same period were randomly selected as the non-death group. The first CTA data and preoperative clinical data within the perioperative period of the two groups were collected, and related risk factors were analyzed to screen out independent predictive factors for perioperative death. The Nomogram prediction model for perioperative mortality risk in AAD patients was constructed using the screened independent predictive factors, and the effect of the Nomogram was evaluated by calibration curves and area under the curve (AUC). ResultsA total of 270 AAD patients were included. There were 60 patients in the death group, including 42 males and 18 females with an average age of 56.89±13.42 years. There were 210 patients in the non-death group, including 163 males and 47 females with an average age of 56.15±13.77 years. Multivariate logistic regression analysis showed that type A AAD [OR=0.218, 95%CI (0.108, 0.440), P<0.001], irregular tear morphology [OR=2.054, 95%CI (1.025, 4.117), P=0.042], decreased hemoglobin [OR=0.983, 95%CI (0.971, 0.995), P=0.007], increased uric acid [OR=1.003, 95%CI (1.001, 1.005), P=0.004], and increased aspartate aminotransferase [OR=1.003, 95%CI (1.000, 1.006), P=0.035] were independent risk factors for perioperative death in AAD patients. The Nomogram prediction model constructed using the above risk factors had an AUC of 0.790 for predicting perioperative death, indicating good predictive performance. ConclusionType A AAD, irregular tear morphology, decreased hemoglobin, increased uric acid, and increased aspartate aminotransferase are independent predictive factors for perioperative death in AAD patients. The Nomogram prediction model constructed using these factors can help assess the perioperative mortality risk of AAD patients.
ObjectiveTo identify the predictors of postoperative acute kidney injury in patients undergoing surgery for Stanford type A acute aortic dissection. MethodsA total of 220 patients who underwent surgery for type A acute aortic dissection in Qingdao Municipal Hospital from September 2010 to September 2017 were divided into two groups including a group A and a group B based on whether acute kidney injury occurred or not after surgery. There were 40 patients with 29 males and 11 females with the mean age of 54.6±9.2 years in the group A, 180 patients with 133 males and 47 females with the mean age of 48.5±7.9 years in the group B. Univariate and multivariate analyses (logistic regression) were used to identify the predictive risk factors.ResultsOverall in-hospital mortality was 5.5%. In univariate analysis, there were statistically significant differences with respect to the age, preoperative creatinine, preoperative white blood cell, the European system for cardiac operative risk evaluation (EuroSCORE), total cardiopulmonary bypass (CPB) time, deep hypothermic circulatory arrest (DHCA) time, arch replacement, red blood cell transfusion intraoperative and in 24 hours postoperatively, postoperative mechanical ventilation time, ICU stay duration, hospital stay duration and in hospital mortality. Multivariate logistic analysis showed that preoperative creatinine, preoperative white blood cell, CPB time, and red blood cell transfusion intraoperative and in 24 hours postoperatively were the independent predictors for postoperative acute kidney injury.ConclusionThe incidence of acute kidney injury is high after surgery for acute Stanford type A aortic dissection. It can be predicted based on above factors, for patients with these risk factors, more perioperative care strategies are needed in order to induce the incidence of acute kidney injury.
Objective To systematically review the relationship between the neutrophil to lymphocyte ratio (NLR) and the short-term prognosis of patients with acute aortic dissection. MethodDatabases including PubMed, Web of Science, CNKI, CBM, and WanFang Data were electronically searched to collect studies on the prognosis associated with neutrophil/lymphocyte ratio and acute aortic dissection from inception to July 2021. Two reviewers independently screened literature, extracted data, and evaluated the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.4 software. Results A total of 10 case-control studies involving 1 638 patients were included. The results of meta-analysis revealed that the in-hospital mortality group of patients with acute aortic dissection had higher NLR levels than the survival group (MD=4.94, 95%CI 2.67 to 7.61, P<0.0001). In patients with acute aortic dissection, there was no statistical difference in in-hospital mortality between the low NLR group and the high NLR group (OR=3.03, 95%CI 1.00 to 9.15, P=0.05). Conclusion Patients with acute aortic dissection who died in hospital shows higher NLR levels than those who survived. However, due to the quantity and quality of included studies, the above conclusions are needed to be verified by more high-quality studies.
ObjectiveTo systematically evaluate the risk factors of acute kidney injury after surgery for acute type A aortic dissection.MethodsWe searched the CNKI, Wanfang Database, VIP, PubMed, Web of science, Cochrane Library (from inception to January 2019) to identify studies about the risk factors of acute kidney injury after surgery for acute type A aortic dissection. Quality of the included studies was evaluated by Kars-Ottawa scale. The meta-analysis was performed by RevMan 5.3 software.ResultsA total of 16 case-control studies were included involving 1 728 patients. The results of meta-analysis showed that gender (OR=1.58, 95% CI 1.31 to 1.89, P<0.001), body mass index (OR=1.05, 95% CI 0.66 to 1.45, P<0.001), hypertension (OR=1.58, 95% CI 1.10 to 2.26, P=0.010), smoking history (OR=1.71, 95% CI 1.12 to 2.61, P=0.010), preoperative serum creatinine level (OR=30.26, 95% CI 20.17 to 40.35, P<0.000 01), preoperative white blood cell (OR=1.73, 95% CI 0.26 to 3.20, P=0.020), extracorporeal circulation time (OR=25.60, 95% CI 21.13 to 30.08, P<0.000 01), aortic occlusion time (OR=13.24, 95% CI 10.27 to 16.22, P<0.001), deep hypothermic circulatory arrest (DHCA) time (OR=2.58, 95% CI 0.86 to 4.29, P=0.003), arch replacement (OR=2.31, 95% CI 1.31 to 4.07, P=0.004), intraoperative blood transfusion (OR=1.27, 95% CI 0.29 to 2.24, P=0.010), postoperative mean arterial pressure (OR=–2.41, 95% CI –4.59 to –0.24, P=0.030), reoperation due to postoperative hemorrhage (OR=4.19, 95% CI 2.04 to 8.63, P<0.001), postoperative acute respiratory insufficiency (OR=6.61, 95% CI 3.21 to 13.60, P<0.001), postoperative mechanical ventilation time (OR=48.51, 95% CI 21.94 to 75.09, P<0.001) were associated with acute kidney injury after surgery for acute type A aortic dissection.ConclusionCurrent evidence shows that gender, body mass index, hypertension, smoking history, preoperative serum creatinine level, preoperative white blood cell, extracorporeal circulation time, aortic occlusion time, deep hypothermic circulatory arrest (DHCA) time, arch replacement, intraoperative blood transfusion, postoperative mean arterial pressure, postoperative hemorrhage reoperation, postoperative acute respiratory insufficiency and postoperative mechanical ventilation time were risk factors for acute kidney injury after surgery for type A aortic dissection. Medical staff can strengthen perioperative management of patients with acute type A aortic dissection combined with the above factors, so as to reduce the incidence of acute kidney injury after operation and improve the clinical prognosis of patients.
Objective To determine risk factors associated with postoperative hypoxemia after surgery for acute aortic dissection. Methods We retrospectively analyzed clinical data of 116 patients with acute aortic dissection who underwent endovascular stent-graft exclusion or open surgery in Qingdao Municipal Hospital from February 2007 to February 2012. All the 116 patients were diagnosed as acute aortic dissection by CT angiography （CTA），including 60 patients with Stanford type A aortic dissection and 56 patients with Stanford type B aortic dissection. According to whether they had postoperative hypoxemia，all the 116 patients with acute aortic dissection were divided into hypoxemia group［arterial partial pressure of oxygen （PaO2） /fraction of inspired oxygen （FiO2） ＜200 mm Hg］：33 patients including 28 males and 5 females with their age of 52.7±11.4 years； and non-hypoxemia group（PaO2/FiO2≥200 mm Hg）：83 patients including 66 males and 17 females with their age of 55.0±13.8 years. Perioperative clinical data were analyzed and compared between the two groups. Multivariate logistic regression was performed to identify risk factors of postoperative hypoxemia after surgery for acute aortic dissection. Results The incidence of postoperative hypoxemia after surgery for acute aortic dissection was 28.4% （33/116）. Perioperative death occurred in 13 patients（11.2%，including 8 patients in the hypoxemia group and 5 patients in the non-hypoxemia group）. Univariate analysis showed that preoperatively the percentages of patients with body mass index（BMI） ＞ 25 kg/m2，smoking history，duration from onset to operation ＜24 h，preoperative PaO2/FiO2≤300 mm Hg，and patients undergoing open surgery in the hypoxemia group were significantly higher than those in the non-hypoxemia group（P＜0.05）. Deep hypothermic circulatory arrest（DHCA） ratio，blood transfusion in 24 hours postoperatively，mechanical ventilation time，length of ICU stay and hospital stay in the hypoxemia group were significantly higher or longer than those in the non-hypoxemia group（P＜0.05）. Logistic multivariate regression identified BMI＞25 kg/m2（RR=98.861，P=0.006），DHCA（RR=22.487，P=0.007），preoperative PaO2/FiO2≤300 mm Hg（RR=9.080，P=0.037） and blood transfusion＞6 U in 24 hours postoperatively（RR=32.813，P=0.003） as independent predictors of postoperative hypoxemia for open-surgery patients，while BMI＞25 kg/m2 （RR=24.984，P=0.036） and preoperative PaO2/FiO2 ratio≤300 mm Hg （RR=21.145，P=0.042） as independent predictors of hypoxemia for endovascular stent-graft exclusion patients. Conclusion Postoperative hypoxemia is a common complication after surgery for acute aortic dissection. Early interventions for obesity and preoperative hypoxemia，and reducing perioperative blood transfusion may decrease the incidence of postoperative hypoxemia after surgery for acute aortic dissection.
Objective To screen pyroptosis-related miRNAs of acute aortic dissection (AAD) from the GEO database, and analyze and verify their functions. MethodsThe microarray data set based on the miRNA chip in the GEO database was downloaded, the differentially expressed miRNAs were screened, and the target genes were predicted by the miRWalk database. Pyroptosis-related genes (PRGs) were searched in the PubMed database with "pyroptosis" as the keyword, and the intersection of PRGs and differential miRNAs predicting target genes were taken as AAD PRGs by Venn diagram. GO and KEGG enrichment analyses were performed. CytoHubba was used to screen the critical AAD PRGs and then the AAD pyroptosis-related miRNAs were identified. Aortic tissues were collected from gender- and age-matched AAD patients and healthy people, and the critical PRGs and miRNAs were verified by Western blotting and RT-qPCR. ResultsA total of 46 AAD differentially expressed miRNAs were screened, and 49 AAD PRGs were obtained by Venn diagram. GO enrichment analysis showed that the genes played a vital role in apoptosis regulated by cysteine endopeptidases. KEGG analysis showed that the genes enriched in Salmonella infection, necroptosis, and Nod-like receptor signaling pathways. CytoHubba screened the critical AAD PRGs such as cysteine aspartase-1 (Caspase-1), tumor necrosis factor (IL)-1β, and tumor necrosis factor (TNF), then obtained 12 AAD pyroptosis-related miRNAs. Aortic tissues were collected from 6 AAD patients and 6 healthy people. There were 5 males and 1 females in the AAD group with an average age of 48.70±6.35 years, and 4 males and 2 females in the healty control group with an average age of 45.30±4.58 years. There was no statistical difference between the two groups in terms of gender, age, smoking history, hypertension, diabetes, or coronary heart disease (P>0.05). Western blotting and RT-qPCR results showed that Caspase-1 was up-regulated in the AAD patients' aortic tissues compared with the healthy aorta, and the corresponding miRNAs were miR-198, miR-3202, and miR-514b-5p, which were all down-regulated. Conclusion Through bioinformatics analysis and verification, the critical AAD PRGs are Caspase-1, IL-1β, and TNF, and Caspase-1 is up-regulated and 3 corresponding pyroptosis-related miRNAs are down-regulated, which provides new ideas for the molecular mechanism and targeted therapy of AAD cell pyroptosis.
ObjectiveTo evaluate the changes in the expression and significance of serum exosomal miRNAs in patients with DeBakey typeⅠacute aortic dissection (AAD). MethodsTwelve male patients with AAD and six healthy male medical examiners from our hospital were retrospectively included in this study. According to the time of chest pain, the AAD patients were divided into an AAD group within 24 h of chest pain onset, aged 47.00±8.79 years and an AAD group within 48 h of chest pain onset, aged 50.17±9.99 years. The healthy males were allocated to a control group, aged 49.17±4.26 years. Serum exosomal miRNAs were isolated, identified and quantified, and then differentially expressed exosomal miRNAs were screened. The bioinformatic analyses such as GO and KEGG were performed on the differentially expressed exosomal miRNAs. ResultsHigh-throughput screening results revealed differential expression of AAD serum exosomal miRNAs. The upregulated miRNAs of AAD groups was hsa-miR-574-5p (P<0.05), and downregulated miRNAs were hsa-miR-223-3p, hsa-miR-146b-5p, hsa-miR-15b-5p, and hsa-miR-155-5p (P<0.05). Further bioinformatic analysis of the above miRNAs revealed that they were mainly enriched in signaling pathways such as transforming growth factor-β, cell cycle and endoplasmic reticulum protein synthesis. ConclusionDifferential expressions of serum exosomal miRNAs in AAD patients may be related to the pathogenesis of AAD, providing new ideas and clues for further exploration of AAD diagnostic markers and pathogenesis.