BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

Objective:To investigate the clinical subtypes of acute aortic dissection (AAD) through latent class analysis.Methods:This study was a multicenter retrospective cohort study. Patients with AAD admitted to five hospitals, including Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Henan Provincial People′s Hospital, Central China Fuwai Hospital of Zhengzhou University (Fuwai Central China Cardiovascular Hospital), the Third Affiliated Hospital of Xinxiang Medical University and the Second Affiliated Hospital of Chongqing Medical University, between August 2010 and December 2021 were enrolled. Based on clinical and biological characteristics, latent class analysis (models with 2 to 5 latent classes) was conducted to classify the enrolled patients. The optimal classification scheme was determined using model fitting evaluations, including log-likelihood (LL), entropy, Lo-Mendell-Rubin adjusted likelihood ratio test and so on. Clinical data of different subtypes were compared, and in-hospital mortality was analyzed across the entire population and among subgroups receiving different treatments.Results:A total of 2 689 AAD patients, aged 54 (46, 63) years were included, with 1 305 (48.5%) having DeBakey type Ⅰ, 156 (5.8%) type Ⅱ, and 1 228 (45. 7%) type Ⅲ dissections. The cohort comprised 2 134 (79.4%) males. The overall in-hospital mortality rate was 22.8% (613/2 689). Latent class analysis indicated that a two-class model was optimal (LL=147 413.242, entropy=0.812, and PLMRT<0.001). Patients were classified into two subtypes, named clinical subtype 1 and clinical subtype 2. Compared to clinical subtype 1, clinical subtype 2 had a higher proportion of females, was older, had more dissections involving the ascending aorta, and exhibited higher rates of organ dysfunction (elevated alanine aminotransferase and creatinine levels) and inflammatory response (neutrophilia) (all P<0.05). Clinical subtype 2 also showed higher in-hospital mortality compared to subtype 1 (26.3% (238/905) vs. 21.0% (375/1 784), P=0.002). Among patients undergoing surgical treatment, clinical subtype 2 had higher mortality than subtype 1 (40.1% (67/167) vs. 30.0% (101/337), P=0.027). However, no significant differences in mortality were observed between the two subtypes among patients receiving medical therapy or endovascular and hybrid procedures (all P>0.05). Conclusions:Comprehensive latent class analysis identifies two subtypes of AAD with distinct clinical characteristics and treatment responses. These findings provide new insights into individualized clinical decision-making and prognostic evaluation for AAD patients.

Objective:To investigate the clinical subtypes of acute aortic dissection (AAD) through latent class analysis.Methods:This study was a multicenter retrospective cohort study. Patients with AAD admitted to five hospitals, including Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Henan Provincial People′s Hospital, Central China Fuwai Hospital of Zhengzhou University (Fuwai Central China Cardiovascular Hospital), the Third Affiliated Hospital of Xinxiang Medical University and the Second Affiliated Hospital of Chongqing Medical University, between August 2010 and December 2021 were enrolled. Based on clinical and biological characteristics, latent class analysis (models with 2 to 5 latent classes) was conducted to classify the enrolled patients. The optimal classification scheme was determined using model fitting evaluations, including log-likelihood (LL), entropy, Lo-Mendell-Rubin adjusted likelihood ratio test and so on. Clinical data of different subtypes were compared, and in-hospital mortality was analyzed across the entire population and among subgroups receiving different treatments.Results:A total of 2 689 AAD patients, aged 54 (46, 63) years were included, with 1 305 (48.5%) having DeBakey type Ⅰ, 156 (5.8%) type Ⅱ, and 1 228 (45. 7%) type Ⅲ dissections. The cohort comprised 2 134 (79.4%) males. The overall in-hospital mortality rate was 22.8% (613/2 689). Latent class analysis indicated that a two-class model was optimal (LL=147 413.242, entropy=0.812, and PLMRT<0.001). Patients were classified into two subtypes, named clinical subtype 1 and clinical subtype 2. Compared to clinical subtype 1, clinical subtype 2 had a higher proportion of females, was older, had more dissections involving the ascending aorta, and exhibited higher rates of organ dysfunction (elevated alanine aminotransferase and creatinine levels) and inflammatory response (neutrophilia) (all P<0.05). Clinical subtype 2 also showed higher in-hospital mortality compared to subtype 1 (26.3% (238/905) vs. 21.0% (375/1 784), P=0.002). Among patients undergoing surgical treatment, clinical subtype 2 had higher mortality than subtype 1 (40.1% (67/167) vs. 30.0% (101/337), P=0.027). However, no significant differences in mortality were observed between the two subtypes among patients receiving medical therapy or endovascular and hybrid procedures (all P>0.05). Conclusions:Comprehensive latent class analysis identifies two subtypes of AAD with distinct clinical characteristics and treatment responses. These findings provide new insights into individualized clinical decision-making and prognostic evaluation for AAD patients.

Objective:To explore the clinical features of transplanted renal artery stenosis after pediatric donor kidneys in children.Methods:We retrospectively summarized the clinical data in five cases of transplanted renal artery stenosis undergoing deceased pediatric donor kidney transplantation from May 1, 2014 to June 30, 2021.Donor/receptor characteristics, diagnosis, treatment and prognosis were recorded.The median follow-up period was 29 months.The median age of five donors and recipients was 9 and 132 months respectively.En bloc renal allograft( n=2)and single kidney transplantation( n=3)were performed.End-to-side anastomosis was performed for renal arteries.The median diagnostic time of renal artery stenosis was 10(3-60)months post-transplantation.Except for one 3-year-old recipient with an earlier onset of stenosis, four stenotic cases during a rapid growth period had a maximal height increase of 30 cm post-transplantation.Three of them had a history of surgery at graft site, including previous kidney transplantation( n=1)and transplant urinary tract reconstruction( n=2). All five cases had hypertension and two showed an elevated serum level of creatinine.Ultrasound indicated a significantly elevated flow rate of >300 cm/s( n=4)and CTA/MRA indicated that the degrees of stenosis varied from 50% to 95%( n=5). Results:After balloon dilatation, stenosis either improved( n=2)or relapsed( n=2). Further stenting succeed( n=1)or failed( n=1). One case of stenosis was relieved partially after 6-month observation without any invasive treatment. Conclusions:As a serious complication, transplant renal artery stenosis is common after pediatric donor kidney transplantation.Too small size in donor kidney and rapid recipient growth may be specific risk factors.After diagnosis, balloon dilation is a preferred treatment.Stent placement should be cautiously employed.

Objective:This study sought to investigate the feasibility, anatomical indications and operating points of transcatheter aortic valve replacement (TAVR) procedure in the treatment of pure aortic regurgitation (AR).Methods:The medical records of 4 elderly patients with pure AR who were treated in the cardiology department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from March 2020 to March 2021 were retrospectively analyzed. All patients were implanted with self-expandable valve stents via peripheral artery approach for TAVR treatment. The feasibility, anatomical indications and key points of TAVR were analyzed.Results:The 4 patients with pure AR who were carefully screened had an average age of 66 years, and all achieved TAVR treatment success without serious perioperative complications and death. Postoperative examination and follow-up data showed that cardiac functions and cardiac remodeling indexes were significantly improved.Conclusions:This exploratory study shows that TAVR is technically feasible and effective treatment option for selected elderly patients with native pure AR, which is worthy of further study.

Objective::Coronavirus disease 2019 (COVID-19) exists as a pandemic. Mortality during hospitalization is multifactorial, and there is urgent need for a risk stratification model to predict in-hospital death among COVID-19 patients. Here we aimed to construct a risk score system for early identification of COVID-19 patients at high probability of dying during in-hospital treatment.Methods::In this retrospective analysis, a total of 821 confirmed COVID-19 patients from 3 centers were assigned to developmental ( n = 411, between January 14, 2020 and February 11, 2020) and validation ( n = 410, between February 14, 2020 and March 13, 2020) groups. Based on demographic, symptomatic, and laboratory variables, a new Coronavirus estimation global (CORE-G) score for prediction of in-hospital death was established from the developmental group, and its performance was then evaluated in the validation group. Results::The CORE-G score consisted of 18 variables (5 demographics, 2 symptoms, and 11 laboratory measurements) with a sum of 69.5 points. Goodness-of-fit tests indicated that the model performed well in the developmental group ( H = 3.210, P = 0.880), and it was well validated in the validation group ( H = 6.948, P= 0.542). The areas under the receiver operating characteristic curves were 0.955 in the developmental group (sensitivity, 94.1%; specificity, 83.4%) and 0.937 in the validation group (sensitivity, 87.2%; specificity, 84.2%). The mortality rate was not significantly different between the developmental ( n = 85,20.7%) and validation ( n = 94, 22.9%, P = 0.608) groups. Conclusions::The CORE-G score provides an estimate of the risk of in-hospital death. This is the first step toward the clinical use of the CORE-G score for predicting outcome in COVID-19 patients.

Objective::Coronavirus disease 2019 (COVID-19) exists as a pandemic. Mortality during hospitalization is multifactorial, and there is urgent need for a risk stratification model to predict in-hospital death among COVID-19 patients. Here we aimed to construct a risk score system for early identification of COVID-19 patients at high probability of dying during in-hospital treatment.Methods::In this retrospective analysis, a total of 821 confirmed COVID-19 patients from 3 centers were assigned to developmental ( n = 411, between January 14, 2020 and February 11, 2020) and validation ( n = 410, between February 14, 2020 and March 13, 2020) groups. Based on demographic, symptomatic, and laboratory variables, a new Coronavirus estimation global (CORE-G) score for prediction of in-hospital death was established from the developmental group, and its performance was then evaluated in the validation group. Results::The CORE-G score consisted of 18 variables (5 demographics, 2 symptoms, and 11 laboratory measurements) with a sum of 69.5 points. Goodness-of-fit tests indicated that the model performed well in the developmental group ( H = 3.210, P = 0.880), and it was well validated in the validation group ( H = 6.948, P= 0.542). The areas under the receiver operating characteristic curves were 0.955 in the developmental group (sensitivity, 94.1%; specificity, 83.4%) and 0.937 in the validation group (sensitivity, 87.2%; specificity, 84.2%). The mortality rate was not significantly different between the developmental ( n = 85,20.7%) and validation ( n = 94, 22.9%, P = 0.608) groups. Conclusions::The CORE-G score provides an estimate of the risk of in-hospital death. This is the first step toward the clinical use of the CORE-G score for predicting outcome in COVID-19 patients.

Objective::Coronavirus disease 2019 (COVID-19) is a global public health crisis. There are no specific antiviral agents for the treatment of SARS-CoV-2. Information regarding the effect of Abidol on in-hospital mortality is scarce. The present study aimed to evaluate the treatment effect of Abidol for patients with COVID-19 before and after propensity score matching (PSM).Methods::This retrospective cohort study analyzed 1019 patients with confirmed COVID-19 in China from December 22, 2019 to March 13, 2020. Patients were divided to Abidol (200 mg, tid, 5-7 days, n = 788, 77.3%) and No-Abidol ( n = 231, 22.7%) groups. The primary outcome was the mortality during hospitalization. Results::Among 1019 COVID-19 patients, the age was (60.4 ± 14.5) years. Abidol-treated patients, compared with No-Abidol-treated patients, had a shorter duration from onset of symptoms to admission, less frequent renal dysfunction, lower white blood cell counts (lymphocytes <0.8) and erythrocyte sending rate, lower interleukin-6, higher platelet counts and plasma IgG and oxygen saturation, and less frequent myocardial injury. The mortality during hospitalization before PSM was 17.9% in Abidol group and 34.6% in No-Abidol (hazard ratio (HR) = 2.610, 95% confident interval (CI): 1.980-3.440), all seen in severe and critical patients. After PSM, the in-hospital death was 13.6% in Abidol and 28.6% in No-Abidol group (HR= 2.728, 95% CI: 1.598-4.659).Conclusions::Abidol-treatment results in less in-hospital death for severe and critical patients with COVID-19. Further randomized study is warranted to confirm the findings from this study.

Objective::Coronavirus disease 2019 (COVID-19) is a global public health crisis. There are no specific antiviral agents for the treatment of SARS-CoV-2. Information regarding the effect of Abidol on in-hospital mortality is scarce. The present study aimed to evaluate the treatment effect of Abidol for patients with COVID-19 before and after propensity score matching (PSM).Methods::This retrospective cohort study analyzed 1019 patients with confirmed COVID-19 in China from December 22, 2019 to March 13, 2020. Patients were divided to Abidol (200 mg, tid, 5-7 days, n = 788, 77.3%) and No-Abidol ( n = 231, 22.7%) groups. The primary outcome was the mortality during hospitalization. Results::Among 1019 COVID-19 patients, the age was (60.4 ± 14.5) years. Abidol-treated patients, compared with No-Abidol-treated patients, had a shorter duration from onset of symptoms to admission, less frequent renal dysfunction, lower white blood cell counts (lymphocytes <0.8) and erythrocyte sending rate, lower interleukin-6, higher platelet counts and plasma IgG and oxygen saturation, and less frequent myocardial injury. The mortality during hospitalization before PSM was 17.9% in Abidol group and 34.6% in No-Abidol (hazard ratio (HR) = 2.610, 95% confident interval (CI): 1.980-3.440), all seen in severe and critical patients. After PSM, the in-hospital death was 13.6% in Abidol and 28.6% in No-Abidol group (HR= 2.728, 95% CI: 1.598-4.659).Conclusions::Abidol-treatment results in less in-hospital death for severe and critical patients with COVID-19. Further randomized study is warranted to confirm the findings from this study.

Objective To analyze the risk factors of prolonged residence time in ICU after surgery for Standford type A aortic dissection.Methods A total of 361 patients with surgery for Standford type A aortic dissection were selected.They were divided into prolonged residence time in ICU group and normal residence time in ICU group.Single factor analysis was used at first,and the significant factors analyzed in single factor analysis were analyzed by Multi factor analysis.Results Logistic regression analysis showed that smoking history,systolic blood pressure,white blood cell count,serum creatinine,low density lipoprotein cholesterol,thrombosis in the false lumen,apolipoprotein A-I,ventilator time were associated with prolonged residence time in ICU.Conclusion Smoking history,systolic blood pressure,white blood cell count,serum creatinine and ventilator time are the independent risk factors for prolonged residence time in ICU,and low density lipoprotein cholesterol,apolipoprotein A-I,thrombosis in the false lumen are the protective factors for prolonged residence time in ICU.