scholarly journals Prognostic value of CAD-RADS classification by coronary CTA in patients with suspected CAD

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zengfa Huang ◽  
Shutong Zhang ◽  
Nan Jin ◽  
Yun Hu ◽  
Jianwei Xiao ◽  
...  

Abstract Background The study sought to compare Coronary Artery Disease Reporting and Data System (CAD-RADS) classification with traditional coronary artery disease (CAD) classifications and Duke Prognostic CAD Index for predicting the risk of all-cause mortality in patients with suspected CAD. Methods 9625 consecutive suspected CAD patients were assessed by coronary CTA for CAD-RADS classification, traditional CAD classifications and Duke Prognostic CAD Index. Kaplan–Meier and multivariable Cox models were used to estimate all-cause mortality. Discriminatory ability of classifications was assessed using time dependent receiver-operating characteristic (ROC) curves and The Hosmer–Lemeshow goodness-of-fit test was employed to evaluate calibration. Results A total of 540 patients died from all causes with a median follow-up of 4.3 ± 2.1 years. Kaplan–Meier survival curves showed the cumulative events increased significantly associated with CAD-RADS, three traditional CAD classifications and Duke Prognostic CAD Index. In multivariate Cox regressions, the risk for the all-cause death increased from HR 0.861 (95% CI 0.420–1.764) for CAD-RADS 1 to HR 2.761 (95% CI 1.961–3.887) for CAD-RADS 4B&5, using CAD-RADS 0 as the reference group. The relative HRs for all-cause death increased proportionally with the grades of the three traditional CAD classifications and Duke Prognostic CAD Index. The area under the time dependent ROC curve for prediction of all-cause death was 0.7917, 0.7805, 0.7991for CAD-RADS in 1 year, 3 year, 5 year, respectively, which was non-inferior to the traditional CAD classifications and Duke Prognostic CAD Index. Conclusions The CAD-RADS classification provided important prognostic information for patients with suspected CAD with noninvasive evaluation, which was non-inferior than Duke Prognostic CAD Index and traditional stenosis-based grading schemes in prognostic value of all-cause mortality. Traditional and simplest CAD classification should be preferable, given the more number of groups and complexity of CAD-RADS and Duke prognostic index, without using more time consuming classification.

2021 ◽  
Author(s):  
Zengfa Huang ◽  
Shutong Zhang ◽  
Yun Hu ◽  
Jianwei Xiao ◽  
Zuoqin Li ◽  
...  

Abstract Background: The study sought to compare Coronary Artery Disease Reporting and Data System (CAD-RADS) classification with traditional coronary artery disease (CAD) classifications and Duke Prognostic CAD Index for predicting the risk of all-cause mortality in patients with suspected CAD.Methods: 9625 consecutive suspected CAD patients were assessed by coronary CTA for CAD-RADS classification, traditional CAD classifications and Duke Prognostic CAD Index. Kaplan-Meier and multivariable Cox models were used to estimate all-cause mortality. Discriminatory ability of classifications was assessed using receiver-operating characteristic (ROC) curves and the Hosmer-Lemeshow goodness-of-fit test.Results: A total of 540 patients died from all causes with a median follow-up of 4.3 ±2.1 years. Kaplan-Meier survival curves showed the cumulative events increased significantly associated with CAD-RADS, three traditional CAD classifications and Duke Prognostic CAD Index. In multivariate Cox regressions, the risk for the all-cause death increased from HR 0.861 (95% CI: 0.420 to 1.764) for CAD-RADS 1 to HR 2.761 (95% CI: 1.961 to 3.887) for CAD-RADS 4B&5, using CAD-RADS 0 as the reference group. The relative HR s for all-cause death increased proportionally with the grades of the three traditional CAD classifications and Duke Prognostic CAD Index. The ROC curve for prediction of all cause death was 0.7927 for CAD-RADS, which was non-inferior to the traditional CAD classifications and Duke Prognostic CAD Index.Conclusions: CAD-RADS classification provided important prognostic information for patients with suspected CAD with noninvasive evaluation, which was non-inferior than Duke Prognostic CAD Index and traditional stenosis-based grading schemes.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Sugiyama ◽  
Y Kanaji ◽  
M Hoshino ◽  
M Yamaguchi ◽  
M Hada ◽  
...  

Abstract Background Recent studies reported the association between elevated fat attenuation index (FAI) of pericoronary adipose tissue (PCAT) on coronary computed tomography angiography (CTA) and worse cardiac outcomes. Purpose We investigated the prognostic value of increased FAI-defined coronary inflammation status in patients with coronary artery disease. Methods Three-hundred fifty-eight patients (127 acute coronary syndromes [ACS], 231 stable coronary artery disease) with left anterior descending artery (LAD) as a culprit vessel who underwent coronary CTA were retrospectively studied. The FAI defined as the mean CT attenuation value of PCAT (−190 to −30 Hounsfield Unit [HU]) was measured at the proximal 40-mm segment of LAD. All subjects were divided into two groups according to the median value of FAI in the LAD. The association between the incidence of major adverse cardiac events (MACE) including all-cause death, myocardial infarction, heart failure, target and non-target vessel revascularization were evaluated. Results In a total of 358 patients, median FAI values surrounding the LAD was −71.46 (interquartile range, −77.10 to −66.34) HU. Thirty-eight patients (10.6%) experienced MACE during the follow-up period (median, 818 days). Kaplan-Meier analysis revealed that high FAI-LAD (>−71.46 HU [median]) was significantly associated with the incidence of MACE (log-rank test, chi-square = 4.183, P=0.041) (Figure). Conclusions In patients with coronary artery disease with culprit LAD lesions, elevated FAI of PCAT surrounding the LAD was associated with worse clinical outcomes. Assessment of FAI may have a potential for potential for non-invasive risk-stratification by coronary CTA. Kaplan-Meier analysis for MACE Funding Acknowledgement Type of funding source: None


Angiology ◽  
2021 ◽  
pp. 000331972110198
Author(s):  
Hongliang Zhang ◽  
Jing Yao ◽  
Zhiwei Huang ◽  
Zhenyan Zhao ◽  
Bincheng Wang ◽  
...  

The prognostic significance of d-dimer level in patients with coronary artery disease (CAD) is not fully established. This meta-analysis aimed to examine the association between elevated d-dimer level at baseline and adverse outcomes in patients with CAD. Two independent authors comprehensively searched PubMed and Embase databases from their inception to December 31, 2020. All observational studies reporting the values of baseline d-dimer level in predicting the major adverse cardiovascular events (MACEs) or survival outcomes in patients with CAD were included. The prognostic values were calculated by pooling adjusted RR with 95% CI for the highest versus the lowest d-dimer level. Thirteen studies consisting of 25 600 patients with CAD were identified. Comparison between the highest and lowest d-dimer level showed that the pooled multivariable adjusted RR was 1.69 (95% CI, 1.53-1.86) for all-cause mortality, 2.37 (95% CI, 1.52-3.69) for cardiovascular mortality, and 1.44 (95% CI, 1.19-1.74) for MACEs, respectively. Elevated blood level of d-dimer at baseline was independently associated with higher risk of MACEs, cardiovascular death, and all-cause mortality in patients with CAD. The baseline d-dimer level may have important prognostic value in patients with CAD.


2020 ◽  
Author(s):  
Man Li ◽  
Lei Duan ◽  
Yulun Cai ◽  
Benchuan Hao ◽  
Jianqiao Chen ◽  
...  

Abstract Background: Suppression of tumorigenesis-2 is implicated in the myocardial overload and it was long been recognized as an inflammation marker related to heart failure and acute coronary syndromes, but the data on prognostic value of suppression of tumorigenesis-2 on patients with coronary artery disease remains limited. The study ought to investigate the prognostic value of suppression of tumorigenesis-2 in patients with established coronary artery disease.Methods: In this prospective cohort study, a total of 3641 consecutive patients were included. The primary end point was major adverse cardiovascular events. Kaplan-Meier survival estimates indicated that the patients with higher levels of ST2 (ST2> 19 ng/ml) had a significantly increased risk of MACEs (log-rank p<0.001) and all-cause death (log-rank p<0.001). The secondary end point was all-cause death. The association between suppression of tumorigenesis-2 and outcomes was investigated using multivariable COX regression.Results: During a median follow up of 6.4 years, there were 775 patients had the occurrence of major adverse cardiovascular events and 275 patients died. Kaplan-Meier survival estimates indicated that the patients with higher levels of ST2 (ST2> 19 ng/ml) had a significantly increased risk of MACEs (log-rank p<0.001) and all-cause death (log-rank p<0.001). Multiple COX regression models showed that higher level of suppression of tumorigenesis-2 was an independent predictor in developing major adverse cardiovascular events (HR=1.36, 95% CI 1.17-1.56, p<0.001) and all-cause death (HR=2.01, 95%CI 1.56-2.59, p<0.001). The addition of suppression of tumorigenesis-2 to established risk factors significantly improved risk prediction of the composite outcome of major adverse cardiovascular events and all-cause death (c-statistic, net reclassification index, and integrated discrimination improvement, all p<0.05).Conclusions: Higher level of suppression of tumorigenesis-2 is significantly associated with long-term all-cause death and major adverse cardiovascular events. Suppression of tumorigenesis-2 may provide incremental prognostic value beyond traditional risk factors.


Angiology ◽  
2020 ◽  
Vol 71 (6) ◽  
pp. 491-497
Author(s):  
Longguang Liu ◽  
Hongxiao Sun ◽  
Fengze Nie ◽  
Xinhua Hu

The prognostic value of the ankle–brachial index (ABI) in patients with coronary artery disease (CAD) remains undefined. This meta-analysis sought to investigate the association of abnormal ABI and adverse outcomes in patients with CAD. PubMed, Embase, China National Knowledge Infrastructure, VIP, and Wanfang databases were comprehensively searched for studies published from inception to September 10, 2019. All observational studies investigating the association of abnormal baseline ABI and risk of major adverse cardiovascular events (MACE) or all-cause mortality were selected. Normal ABI is usually defined as between 0.9 and 1.4. The prognostic values were summarized by pooling risk ratio (RR) with 95% confidence intervals (CIs) for abnormal versus normal ABI category. Nine (9384 patients with CAD) studies were included. Abnormal ABI was independently associated with MACE (RR: 2.46; 95% CI: 2.02-2.99) and all-cause mortality (RR: 1.74; 95% CI: 1.32-2.30). Subgroup analysis showed that the pooled RR for MACE was 2.34 (95% CI: 1.73-3.16) for an abnormal low ABI. Abnormal ABI predicts MACE and all-cause mortality in patients with CAD, even after adjusting conventional confounding factors. However, the prognostic value of abnormal ABI is mainly dominated by a low ABI rather than a high ABI.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
B Wang ◽  
J Liu ◽  
S Q Chen ◽  
Q H Luo ◽  
Y Liu ◽  
...  

Abstract Background Lower low-density lipoprotein cholesterol (LDL-C) is significantly associated with improved prognosis in patients with coronary artery disease (CAD). However, LDL-C reduction does not decrease all-cause mortality among CAD patients when renal function impairs. There are currently no studies examining the association of low baseline LDL-C concentration (<1.8 mmol/L) with mortality among patients with CAD and advanced kidney disease (AKD). We aimed to evaluate prognostic value of low baseline LDL-C level for all-cause death in these patients. Methods In this observational study, 803 CAD patients complicated with AKD (eGFR <30 mL/min/1.73 m 2) were enrolled between January 2008 to December 2018. Patients were divided into two groups (LDL-C <1.8 mmol/L, n=138; LDL-C ≥1.8 mmol/L, n=665). We used Kaplan-Meier methods and Cox regression analyses to assess the association between baseline low LDL-C levels and long-term all-cause mortality. Results Among 803 participants (mean age 67.4 years; 68.5% male), there were 315 incidents of all-cause death during a median follow-up of 2.7 years. Kaplan–Meier analysis showed that low LDL-C levels were associated with worse prognosis. After adjusting for full 24 confounders (e.g., age, diabetes, heart failure, and dialysis, etc.), multivariate Cox regression analysis revealed that lower LDL-C level (<1.8mmol/L) was significantly associated with higher risk of all-cause death (adjusted HR, 1.38; 95% CI, 1.01–1.89). Conclusions Our data demonstrated that among patients with CAD and AKD, a lower baseline LDLC level (<1.8mmol/L) did not present a higher survival rate but was related to a worse prognosis, suggesting a cautiousness of too low LDL-C levels among patients with CAD and AKD. FUNDunding Acknowledgement Type of funding sources: Foundation. Main funding source(s): This study was supported by the National Natural Science Foundation of China (Grant No. 81670339 and Grant No. 81970311), Cardiovascular Research Foundation Project of the Chinese Medical Doctor Association (SCRFCMDA201216) and Beijing Lisheng Cardiovascular Health Foundation (LHJJ20141751).


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kunming Bao ◽  
Haozhang Huang ◽  
Guoyong Huang ◽  
Junjie Wang ◽  
Ying Liao ◽  
...  

Abstract Background The platelet-to-hemoglobin ratio (PHR) has emerged as a prognostic biomarker in coronary artery disease (CAD) patients after PCI but not clear in CAD complicated with congestive heart failure (CHF). Hence, we aimed to assess the association between PHR and long-term all-cause mortality among CAD patients with CHF. Methods Based on the registry at Guangdong Provincial People’s Hospital in China, we analyzed data of 2599 hospitalized patients who underwent coronary angiography (CAG) and were diagnosed with CAD complicated by CHF from January 2007 to December 2018. Low PHR was defined as ˂ 1.69 (group 1) and high PHR as ≥ 1.69 (group 2). Prognosis analysis was performed using Kaplan–Meier method. To assess the association between PHR and long-term all-cause mortality, a Cox-regression model was fitted. Results During a median follow-up of 5.2 (3.1–7.8) years, a total of 985 (37.9%) patients died. On the Kaplan–Meier analysis, patients in high PHR group had a worse prognosis than those in low PHR group (log-rank, p = 0.0011). After adjustment for confounders, high PHR was correlated with an increased risk of long-term all-cause mortality in CAD patients complicated with CHF. (adjusted hazard ratio [aHR], 1.31; 95% confidence interval [CI], 1.13–1.52, p < 0.0001). Conclusion Elevated PHR is correlated with an increased risk of long-term all-cause mortality in CAD patients with CHF. These results indicate that PHR may be a useful prognostic biomarker for this population. Meanwhile, it is necessary to take effective preventive measures to regulate both hemoglobin levels and platelet counts in this population.


2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Lili Yang ◽  
Bin Li ◽  
Yuan Zhao ◽  
Zhengyi Zhang

Abstract Background Conflicting results on the prognostic value of blood adiponectin level in patients with coronary artery disease (CAD) have been reported. This meta-analysis aimed to investigate the prognostic value of elevated adiponectin level in CAD patients. Methods A comprehensive literature search was conducted in PubMed and Embase databases up to May 10, 2019. Studies evaluating the association between adiponectin level and major adverse cardiovascular events (death, stroke, acute coronary syndrome or coronary revascularisation), cardiovascular mortality, and all-cause mortality in CAD patients were included. Pooled multivariable adjusted risk ratios (RR) and 95% confidence intervals (CI) was calculated for the highest vs the lowest category of adiponectin level. Results Twelve studies including 10,974 CAD patients were included. Elevated adiponectin level was independently associated with higher risk of cardiovascular (RR 1.93; 95% CI 1.55–2.42; p < 0.001) and all-cause mortality (RR 1.96; 95% CI 1.64–2.34; p < 0.001) in CAD patients. However, CAD patients with higher adiponectin level did not significantly increase major cardiovascular events risk (RR 1.12; 95% CI 0.86–1.45; p = 0.407) after adjustment for potential confounders. Conclusions This meta-analysis indicates that elevated adiponectin level is an independent predictor of cardiovascular and all-cause mortality in CAD patients. Measurement of blood adiponectin level has potential to identify CAD patients who have high risk of death.


2021 ◽  
Vol 8 ◽  
Author(s):  
Le Wang ◽  
Hongliang Cong ◽  
Jingxia Zhang ◽  
Yuecheng Hu ◽  
Ao Wei ◽  
...  

Background and Aims: Studies have highlighted the role of the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio on subsequent cardiovascular events. However, the association of the TG/HDL-C ratio with survival outcomes in diabetic patients with coronary artery disease (CAD) treated with statins remains unknown. This study aimed to assess the predictive value of the TG/HDL-C ratio for all-cause mortality and cardiovascular death in diabetic patients with CAD treated with statins.Methods: The data of patients with type 2 diabetes and angiographically-confirmed CAD who were undergoing statin therapy and visited Tianjin Chest Hospital between January 2016 and September 2016 were retrospectively collected. The patients were categorized based on the baseline TG/HDL-C ratio tertile. Kaplan-Meier analysis and multivariate Cox proportional hazard regression were applied to assess the role of the TG/HDL-C ratio in predicting all-cause mortality and cardiovascular death.Results: A total of 2,080 patients were included. During the 4-year follow-up, 209 patients died, 136 of whom from cardiovascular death. The Kaplan-Meier analyses showed that an increased TG/HDL-C ratio was associated with an increased risk of all-cause mortality (P &lt; 0.001) and cardiovascular death (P &lt; 0.001). The multivariate cox hazard regression analysis revealed a similar effect of the TG/HDL-C ratio on the risk of all-cause mortality (P = 0.046) and cardiovascular death (P = 0.009). The role of the TG/HDL-C ratio in predicting all-cause mortality and cardiovascular death was similar among all subgroups (P &gt; 0.050). For all-cause mortality, the TG/HDL-C ratio significantly improved the C-statistic from 0.799 to 0.812 (P = 0.018), and the net reclassification index (NRI) and integrated discrimination index (IDI) were 0.252 (95% CI: 0.112–0.392; P &lt; 0.001) and 0.012 (95% CI: 0.003–0.022; P = 0.012), respectively. Similarly, for cardiovascular death, the TG/HDL-C ratio significantly improved the C-statistic from 0.771 to 0.804 (P &lt; 0.001), and the NRI and IDI were 0.508 (95% CI: 0.335–0.680; P &lt; 0.001) and 0.033 (95% CI: 0.015–0.050; P &lt; 0.001).Conclusion: TG/HDL-C ratio might be useful for predicting all-cause mortality and cardiovascular death in diabetic patients with CAD treated with statins.


2021 ◽  
Author(s):  
Kunming Bao ◽  
Haozhang Huang ◽  
Guoyong Huang ◽  
Junjie Wang ◽  
Ying Liao ◽  
...  

Abstract Background The platelet-to-hemoglobin ratio (PHR) has emerged as a prognostic biomarker in coronary artery disease (CAD) patients after PCI but not clear in CAD complicated with congestive heart failure (CHF). Hence, we aimed to assess the association between PHR and long-term all-cause mortality among CAD patients with CHF. Methods Based on the registry at Guangdong Provincial People’s Hospital in China, we analyzed data of 2,599 hospitalized patients who underwent coronary angiography (CAG) and were diagnosed with CAD complicated by CHF from January 2007 to December 2018. Low PHR was defined as˂1.69 (group 1) and high PHR as ≥ 1.69 (group 2). Prognosis analysis was performed using Kaplan-Meier methods. To assess the association between PHR and long-term all-cause mortality, a Cox-regression model was fitted. Results During a median follow-up of 5.2 (3.1–7.8) years, a total of 985 (37.9%) patients died. On the Kaplan-Meier analysis, patients in high PHR group had a worse prognosis than low PHR group (log-rank, p = 0.0011). After adjustment for confounders, high PHR was correlated with an increased risk of long-term all-cause mortality in CAD patients complicated with CHF. (adjusted hazard ratio [aHR], 1.21; 95% confidence interval [CI], 1.03–1.41, p = 0.02). Conclusion Elevated PHR is correlated with an increased risk of long-term all-cause mortality in CAD patients with CHF. These results indicate that PHR may be a useful prognostic biomarker for this population. Meanwhile, it is necessary to take effective preventive measures to regulate both hemoglobin levels and platelet counts in this population.


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