Acute Coronary Events Risk Score Research Articles

Cysteine-Rich Angiogenic Inducer 61 Improves Prognostic Accuracy of GRACE (Global Registry of Acute Coronary Events) 2.0 Risk Score in Patients With Acute Coronary Syndromes.

BackgroundIt remains unclear whether the novel biomarker cysteine‐rich angiogenic inducer 61 (CCN1) adds incremental prognostic value to the GRACE 2.0 (Global Registry of Acute Coronary Events) risk score and biomarkers high‐sensitivity Troponin T, hsCRP (high‐sensitivity C‐reactive protein), and NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) in patients with acute coronary syndromes.Methods and ResultsPatients referred for coronary angiography with a primary diagnosis of acute coronary syndromes were enrolled in the Special Program University Medicine – Acute Coronary Syndromes and Inflammation cohort. The primary/secondary end points were 30‐day/1‐year all‐cause mortality and the composite of all‐cause mortality or myocardial infarction as used in the GRACE risk score. Associations between biomarkers and outcome were assessed using log‐transformed biomarker values and the GRACE risk score (versions 1.0 and 2.0). The incremental value of CCN1 beyond a reference model was assessed using Harrell’s C‐statistics calculated from a Cox proportional‐hazard model. The P value of the C‐statistics was derived from a likelihood ratio test. Among 2168 patients recruited, 1732 could be analyzed. CCN1 was the strongest single predictor of all‐cause mortality at 30 days (hazard ratio [HR], 1.77 [1.31, 2.40]) and 1 year (HR, 1.81 [1.47, 2.22]). Adding CCN1 alone to the GRACE 2.0 risk score improved C‐statistics for prognostic accuracy of all‐cause mortality at 30 days (0.87–0.88) and 1 year (0.81–0.82) and when combined with high‐sensitivity Troponin T, hsCRP, NT‐proBNP for 30 days (0.87–0.91), and for 1‐year follow‐up (0.81–0.84). CCN1 also increased the prognostic value for the composite of all‐cause mortality or myocardial infarction.ConclusionsCCN1 predicts adverse outcomes in patients with acute coronary syndromes adding incremental information to the GRACE risk score, suggesting distinct underlying molecular mechanisms.RegistrationURL: https://www.clinicaltrials.gov. Unique identifier: NCT01000701.

Addition of Plasma Myeloperoxidase and Trimethylamine N-Oxide to the GRACE Score Improves Prediction of Near-Term Major Adverse Cardiovascular Events in Patients With ST-Segment Elevation Myocardial Infarction.

Background: The Global Registry of Acute Coronary Events (GRACE) risk score (GRS) is an established powerful model in predicting prognosis of patients with acute coronary syndrome. However, it does not contain pathophysiological biomarkers. Myeloperoxidase (MPO) and trimethylamine N-oxide (TMAO) are novel biomarkers of different pathophysiological processes of acute myocardial infarction, and each of them predicts risk of adverse clinical outcomes. We aimed to investigate whether the addition of MPO and TMAO could improve a GRS-based prediction model in patients with ST-segment elevation myocardial infarction (STEMI). Methods: A prospective cohort of 444 consecutive patients with STEMI who underwent primary percutaneous coronary intervention were enrolled in this study. Plasma levels of MPO and TMAO were measured using samples collected before the interventional procedure. GRS at admission was calculated. Death and nonfatal myocardial infarction were recorded as major adverse cardiac events (MACEs). Kaplan–Meier survival analysis with Cox proportional-hazards regression was used to identify predictive values of MPO and TMAO. Area under the receiver-operator characteristic curve (AUC) and net reclassification improvement (NRI) were calculated to evaluate the increment of predictive value for the combination of MPO and TMAO with GRS in predicting adverse clinical outcomes. Results: During 6 months follow-up, 27 patients suffered MACEs. Both MPO (hazard ratio [HR]: 2.55, 95% confidence interval [CI]: 1.11–5.87; p < 0.05) and TMAO (HR: 4.50, 95% CI: 1.78–11.40, p < 0.01) predicted MACEs at 6 months. The AUC for MPO, TMAO, GRS, and their combination in predicting risk of MACEs at 6 months is 0.642, 0.692, 0.736, and 0.760, respectively. The addition of MPO and TMAO significantly improved the net reclassification of GRS for predicting MACEs at 6 months (NRI: 0.42, p = 0.032). Conclusion: Plasma MPO and TMAO each predict near-term risk of adverse outcomes in patients with STEMI. Furthermore, the combination of MPO and TMAO with GRS enables more accurate prediction of cardiovascular events compared with GRS alone.

Admission Hyperglycemia is Associated with Global Registry of Acute Coronary Events Score and Complications Following Acute Myocardial Infarction During 1-Year Follow-Up.

We explored the effect of admission hyperglycemia (AH) on the Global Registry of Acute Coronary Events (GRACE) risk score and major adverse cardiovascular and cerebrovascular event (MACCE) incidence during 1-year follow-up in acute myocardial infarction (AMI) patients. In this retrospective observational study enrolling 1098 AMI patients, hyperglycemia was defined as blood glucose level ≥180mg/dl at admission. Overall, 158 and 84 patients of 272 diabetic and 826 non-diabetic patients were diagnosed with AH, respectively. Glucose levels at admission were closely associated with the GRACE score in patients with/without diabetes. MACCEs occurred in 222 patients; patients with AH showed significantly higher MACCE incidence (28.1%). Multivariate Cox logistic regression analysis indicated that AH was an independent risk factor for 1-year MACCEs. Subgroup analysis demonstrated that hyperglycemia increases MACCE risk in non-diabetic patients but not in diabetic patients. The admission glucose level combined with GRACE risk score showed a certain predictive value for MACCE incidence according to ROC analysis (OR = 0.798, p < .001). AH was strongly associated with a higher GRACE risk score in ST-segment elevation myocardial infarction patients. Thus, AH was an independent risk factor and had a high predictive value for MACCE during 1-year follow-up after AMI.

Quality of acute myocardial infarction care in England and Wales during the COVID-19 pandemic: linked nationwide cohort study

Background and objectiveThe impact of the COVID-19 pandemic on the quality of care for patients with acute myocardial infarction (AMI) is uncertain. We aimed to compare quality of AMI care...

External validation of the GRACE risk score 2.0 in the contemporary all‐comers GLOBAL LEADERS trial

This study aimed to assess the predictive ability of the Global Registry of Acute Coronary Events (GRACE) risk score 2.0 in contemporary acute coronary syndrome (ACS) patients, and its relation to antiplatelet strategies. The predictive value of the GRACE risk score in the contemporary ACS cohort and the appropriate antiplatelet regimen according to the risk remain unclear. This is a subgroup analysis of the all-comers, randomized GLOBAL LEADERS trial, comparing ticagrelor monotherapy versus conventional dual-antiplatelet therapy (DAPT) after percutaneous coronary intervention (PCI). The GRACE risk score 2.0 with 1-year mortality prediction was implemented. The randomized antiplatelet effect was assessed in predefined three GRACE risk-groups; low-risk (GRACE <109), moderate-risk (GRACE 109-140), and high-risk (GRACE >140). The GRACE risk score was available in 6,594 out of 7,487 ACS patients among whom 1,743, 2,823, and 2,028 patients were classified as low-risk, moderate-risk, and high-risk, respectively. At 1 year, all-cause mortality occurred in 120 patients (1.8%). The discrimination ability of the GRACE model was moderate (C-statistic=0.742), whereas 1-year mortality risk was overestimated (mean predicted mortality rate: 3.9%; the Hosmer-Lemeshow chi-square: 21.47; p=0.006). There were no significant interactions between the GRACE risk strata and effects of the ticagrelor monotherapy on ischemic or bleeding outcomes at 1 year compared to the reference strategy. The GRACE risk score 2.0 is valuable in discriminating high risk ACS patients, however, the recalibration of the score is recommended for better risk stratification. There is no significant differences in efficacy and safety of ticagrelor monotherapy across the three GRACE risk strata.

Clinical impact of estimated plasma volume status and its additive effect with the GRACE risk score on in-hospital and long-term mortality for acute myocardial infarction.

BackgroundEstimated plasma volume status (ePVS) is a well-validated prognostic indicator in heart failure. However, it remains unclear whether ePVS has prognostic significance in patients with acute myocardial infarction (AMI). Moreover, there is no available information on its additive effect with the Global Registry of Acute Coronary Events (GRACE) risk score in AMI patients.MethodsData were obtained from the Osaka Acute Coronary Insufficiency Study (OACIS) registry database. Patients whose data were available for ePVS derived from Hakim’s formula and the GRACE risk score were studied. The primary endpoints were in-hospital and 5-year mortality.ResultsOf 3930 patients, 206 and 200 patients died during hospitalization and 5 years after discharge, respectively. After adjustment, ePVS remained an independent predictor of in-hospital death (OR:1.02, 95% CI: 1.00–1.04, p = 0.036), and 5-year mortality(HR:1.03, 95% CI: 1.01–1.04, p < 0.001). An additive effect of ePVS with the GRACE risk score was observed in predicting the 5-year mortality with an area under the receiver operating characteristic curve (AUC) from 0.744 to 0.763 (p = 0.026), but not in-hospital mortality (the AUC changed from 0.875 to 0.875, p = 0.529). The incremental predictive value of combining ePVS and the GRACE risk score for 5-year mortality was significantly improved, as shown by the net reclassification improvement (NRI:0.378, p < 0.001) and integrated discrimination improvement (IDI:0.014, p < 0.001).ConclusionsIn patients with AMI, ePVS independently predicted in-hospital and long-term mortality. In addition, ePVS had an additive effect with the GRACE risk score on long-term mortality. Therefore, ePVS may be useful for identifying high-risk subjects for intensive treatment.

Clinical risk prediction models for the prognosis and management of acute coronary syndromes.

Patients with acute coronary syndromes (ACS), particularly non-ST-segment elevation ACS, represent a spectrum of patients at variable risk of short- and long-term adverse clinical outcomes. Accurate prognostic assessment in this population requires the simultaneous consideration of multiple clinical and laboratory variables which may be under-recognized by the treating physicians, leading to an observed risk-treatment paradox in the use of invasive and pharmacological therapies. The routine application of established clinical risk scores, such as the Global Registry of Acute Coronary Events risk score, is recommended by major international clinical practice guidelines for structured risk stratification at the time of presentation, but uptake remains inconsistent. This article discusses the methodology of designing, deriving, and validating clinical risk scores, reviews the major validated risk scores for assessing prognosis in ACS, and examines their role in guiding clinical decision-making in ACS management, especially the timing of invasive coronary angiography. We also discuss emerging data on the impact of the routine use of such risk scores on patient management and clinical outcomes, as well as future directions for investigation in this field.

The value of the Global Registry of Acute Coronary Events and Gensini scores in predicting long-term outcomes in Vietnamese patients with non-ST-elevation acute coronary syndrome

Introduction: Patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) should undergo risk stratification as soon as possible after their presentation. Early risk satisfaction provides good prognosis for patients as well as better decision for reperfusion therapy. The aim of this study is to find a correlation between the Global Registry of Acute Coronary Events (GRACE) risk score and severity of coronay artery disease assessed by Gensini score score and compare the value of GRACE and Gensini scores in predicting the long-term outcomes in patients with NSTE-ACS.&#x0D; Methods: A total of 220 patients with NSTE-ACS who underwent coronary angiography were enrolled in our study. The Gensini score was used to assess the severity of coronary artery disease. According to the GRACE score, the patients were grouped into low, intermediate and high groups. After 30 months of follow-up, 20 patients died.&#x0D; Results: The mean Gensini scores were 11.8 ± 11.5, 27.4 ± 30.9, and 42.9 ± 29.7 in the low, intermediate and high-risk groups, respectively. The GRACE scores and Gensini score had a moderate positive correlation (rho = 0.522, p &lt; 0.001). The survival rates showed a less rapid deterioration from the low to high GRACE groups (P = 0.013) than when classified according to their Gensini tertiles (P = 0.02). Area under the ROC curve was statistically significant for both scores, but area of the GRACE risk score (0.71; 95% Cl = 0.60 - 0.82) was higher than that the Gensini risk score (0.66; 95% Cl = 0.53 – 0.80).&#x0D; Conclusion: Our study revealed that the Gensini score had a positive and significant relationship with the GRACE score in patients with NSTE-ACS. The GRACE score had a more value in predicting long-term outcomes in patients with NSTE-ACS.

The new classification method in ACEF score is more useful in patients with acute coronary syndrome without ST segment elevation

Goal In this study, it was investigated whether the age, creatinine, and ejection fraction (ACEF) score [age (years) / ejection fraction (%) +1 (if creatinine &gt;2 mg / dL)] could predict in-hospital mortality in patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) and its relationship with the Global Record of Acute Coronary Events (GRACE) risk score were investigated.Material and methods The study enrolled 658 NSTE-ACS patients from January 2016 to August 2020. The patients were divided into two groups according to the ACEF score with an optimum cut-off value of 1.283 who were divided into two groups according to the ACEF score: low ACEF (≤1.283, n:382) and high ACEF (&gt;1.283, n: 276). The primary outcome of the study was in-hospital all-cause mortality. The primary outcome of the study was in-hospital all-cause mortality. Statistically accuracy was defined with area under the curve by receiver-operating characteristic curve analysis.Results In total, 13 (4.71 %) patients had in-hospital mortality. The ACEF score was significantly higher in the group with higher mortality than in the group with low mortality (2.1±0.53 vs. 1.34±0.56 p=0.001). The ACEF score was positively correlated with GRACE risk score (r=0.188 p&lt;0.0001). In ROC curve analysis, the AUC of the ACEF score for predicting in-hospital mortality was 0.849 (95 % CI, 0.820 to 0.876; p&lt;0.0001); sensitivity, 92.3 %; specificity, 59.2 %, and the optimum cut-off value was &gt;1.283.Conclusion The ACEF score presented excellent discrimination in predicting in-hospital mortality. We obtained an easier and more useful result by dividing the ACEF score into two groups instead of three in NSTE-ACS patients. As a simple, useful, and easily applicable risk stratification in the evaluation of an emergency event such as the ACEF score, it can significantly contribute to the identification of patients at high risk.

The role of prognostic nutritional index in patients with non-ST segment elevation acute coronary syndrome.

Objective The importance of nutritional status in non-ST segment elevated acute coronary syndrome (NSTE-ACS) is not clear. In this study, the importance of prognostic nutritional index (PNI) in terms of in-hospital mortality in patients with NSTE-ACS and its relationship with the Global Record of Acute Coronary Events (GRACE) risk score were investigated.Material and methods A total of 498 consecutive NSTE-ACS patients were recorded retrospectively. PNI for nutritional status assessment of patients with NSTE-ACS. PNI was calculated as 10 × serum albumin (g / dL) + 0.005 × total lymphocyte count (per mm3). The association between PNI and GRACE risk score was assessed.Results Patients were classified as low-risk group (≤108 points, n=222), medium-risk group (109-140 points, n=161) and high-risk group (&gt;140 points, n=115) according to the GRACE score. The mean PNI value was found to be the lowest in the high-risk group compared to other risk groups. There was a significant negative correlation between GRACE risk score and PNI (p&lt;0.001). In multivariate analysis, PNI resulted as a predictor of in-hospital mortality independent of GRACE risk score (OR=0.909; 95 % CI: 0.842-0.981; p=0.01). PNI value in the high risk group for in-hospital mortality was determined to have significant predictive ability (AUC=0.710; 95 % CI: 0.61-0.80; p&lt;0001).Conclusions PNI evaluation is a useful and easy method to evaluate the nutritional status of patients with NSTE-ACS. Our study suggests that the PNI is significantly associated with in-hospital mortality, and GRACE risk score in patients with NSTE-ACS. This study is the basis for new studies to investigate whether PNI contributes additional prognostic to the GRACE risk score.

Serum Levels of Growth Differentiation Factor-15 as an Inflammatory Marker in Patients with Unstable Angina Pectoris.

Background: Growth differentiation factor-15 (GDF-15), a member of transforming growth factors, is a stress-responsive marker whose levels may significantly increase in response to pathological stresses associated with inflammatory tissue injuries such as unstable angina pectoris (USAP). This study evaluated the diagnostic value of GDF-15 in patients with USAP. Methods: The present cross-sectional study recruited 39 patients with USAP criteria and 30 patients with stable angina pectoris (SAP), referred to Shahid Beheshti Hospital, Kashan, Iran. All the patients with USAP had at least 1 coronary artery stenosis (>50%) in angiography. The control group comprised 42 healthy individuals. The serum levels of GDF-15 were measured in all the participants by ELISA. Also analyzed were the relationship between GDF-15 levels and thrombolysis in myocardial infarction (TIMI) and the Global Registry of Acute Coronary Events (GRACE) risk scores in the patients with USAP to determine the severity of the disease. Result: The study population consisted of 111 subjects, 62 women and 49 men, divided into 3 groups of USAP (n=39, mean age=60.07±14.10 y), SAP (n=30, mean age=67.56±9.88 y), and control (n=42, mean age=61.21±7.76 y). The mean serum level of GDF-15 in the USAP group was significantly different from the other 2 groups (P<0.001), while no significant difference was observed in this regard between the SAP and control groups (P=0.797). No correlation was found between the mean GDF-15 serum level and the GRACE (P=0.816) and TIMI (P=0.359) risk scores in the USAP group. Conclusion: The mean serum level of GDF-15 exhibited a rise in our patients with USAP. GDF-15 may be a diagnostic biomarker of USAP and its severity.

Comparison of Prognostic Value Among 4 Risk Scores in Patients with Acute Coronary Syndrome: Findings from the Improving Care for Cardiovascular Disease in China-ACS (CCC-ACS) Project.

BackgroundAccurate risk assessment and prospective stratification are of great importance for treatment of acute coronary syndrome (ACS). However, the optimal risk evaluation systems for predicting different type of ACS adverse events in Chinese population have not been established.Material/MethodsOur data were derived from the Improving Care for Cardiovascular Disease in China-ACS (CCC-ACS) Project, a multicenter registry program. We incorporated data on 44 750 patients in the study. We compared the performance of the following 4 different risk score systems with regard to prediction of in-hospital adverse events: the Global Registry for Acute Coronary Events (GRACE) risk score system; the age, creatinine and ejection fraction (ACEF) risk score system, and its modified version (AGEF), and the Canada Acute Coronary Syndrome (C-ACS) risk assessment system.ResultsAdmission AGEF risk score was a better prognosis index of potential for in-hospital mortality for patients with ST segment elevation myocardial infarction (STEMI) than GRACE risk score (AUC: 0.845 vs 0.819, P=0.012), ACEF (AUC: 0.845 vs 0.827, P=0.014), C-ACS (AUC: 0.845 vs 0.767, P<0.001). In patients with non-ST segment-elevation acute coronary syndrome (NSTE-ACS), there was no statistically significant difference between the GRACE risk scale and AGEF (AUC: 0.853 vs 0.832, P=0.140) for in-hospital death.ConclusionsAGEF risk score showed a non-inferior utility compared with the other 3 scoring systems in estimating in-hospital mortality in ACS patients.

Nomograms based on pre-operative parametric for prediction of short-term mortality in acute myocardial infarction patients treated invasively.

Objective Our aim was to develop and independently validate nomograms to predict short-term mortality in acute myocardial infarction (AMI) patients.Results There were 1229 AMI patients enrolled in this study. In the training cohort (n=534), 69 deaths occurred during a median follow-up period of 375 days. The C-index for 1-year mortality in the training group and the validation cohort was 0.826 (95%CI: 0.780 - 0.872) and 0.775 (95%CI: 0.695 - 0.855), respectively. Integrated Discrimination Improvement (IDI) and net reclassification improvement (NRI) also showed a significant improvement in the accuracy of the new model compared with the Global Registry of Acute Coronary Events (GRACE) risk score. Furthermore, C-index of the prospective cohort (n=309) achieved 0.817 (95%CI: 0.754 - 0.880) for 30-day mortality and 0.790 (95%CI: 0.718 - 0.863) for 1-year mortality.Conclusions Collectively, our simple-to-use nomogram effectively predicts short-term mortality in AMI patients.Methods AMI patients who had undergone invasive intervention between January 2013 and Jan 2018 were enrolled. Cox regression analysis was used on the training cohort to develop nomograms for predicting 30-day and 1-year mortality. Model performance was then evaluated in the validation cohort and another independent prospective cohort.

Objective Risk Assessment vs Standard Care for Acute Coronary Syndromes

Although international guidelines recommend use of the Global Registries of Acute Coronary Events (GRACE) risk score (GRS) to guide acute coronary syndrome (ACS) treatment decisions, the prospective utility of the GRS in improving care and outcomes is unproven. To assess the effect of routine GRS implementation on guideline-indicated treatments and clinical outcomes of hospitalized patients with ACS. Prospective cluster (hospital-level) randomized open-label blinded end point (PROBE) clinical trial using a multicenter ACS registry of acute care cardiology services. Fixed sampling of the first 10 patients within calendar month, with either ST-segment elevation or non-ST-segment elevation ACS. The study enrolled patients from June 2014 to March 2018, and data were analyzed between February 2020 and April 2020. Implementation of routine risk stratification using the GRS and guideline recommendations. The primary outcome was a performance score based on receipt of early invasive treatment, discharge prescription of 4 of 5 guideline-recommended pharmacotherapies, and cardiac rehabilitation referral. Clinical outcomes included a composite of all-cause death and/or myocardial infarction (MI) within 1 year. This study enrolled 2318 patients from 24 hospitals and was stopped prematurely owing to futility. Of the patients enrolled, median age was 65 years (interquartile range, 56-74 years), 29.5% were women (n = 684), and 62.9% were considered high risk (n = 1433). Provision of all 3 measures among high-risk patients did not differ between the randomized arms (GRS: 424 of 717 [59.9%] vs control: 376 of 681 [55.2%]; odds ratio [OR], 1.04; 95% CI, 0.63-1.71; P = .88). The provision of early invasive treatment was increased compared with the control arm (GRS: 1042 of 1135 [91.8%] vs control: 989 of 1183 [83.6%]; OR, 2.26; 95% CI, 1.30-3.96; P = .004). Prescription of 4 of 5 guideline-recommended pharmacotherapies (GRS: 864 of 1135 [76.7%] vs control: 893 of 1183 [77.5%]; OR, 0.97; 95% CI, 0.68-1.38) and cardiac rehabilitation (GRS: 855 of 1135 [75.1%] vs control: 861 of 1183 [72.8%]; OR, 0.68; 95% CI, 0.32-1.44) were not different. By 12 months, GRS intervention was not associated with a significant reduction in death or MI compared with the control group (GRS: 96 of 1044 [9.2%] vs control: 146 of 1087 [13.4%]; OR, 0.66; 95% CI, 0.38-1.14). Routine GRS implementation in cardiology services with high levels of clinical care was associated with an increase in early invasive treatment but not other aspects of care. Low event rates and premature study discontinuation indicates the need for further, larger scale randomized studies. anzctr.org.au Identifier: ACTRN12614000550606.

Investigation of serum ischemia-modified albumin levels in coronary artery disease patients.

Ischemia-modified albumin (IMA) is a novel marker for the detection of ischemia. The value of this biomarker has been studied in patients with coronary artery disease (CAD). However, the relationship between the severity of coronary stenosis and serum IMA levels remains unknown. Therefore, we aimed to investigate the potential role of serum IMA levels in predicting the severity of coronary atherosclerosis. One hundred and forty-two individuals who underwent coronary angiography for coronary artery disease complaints were included in the study. Participants were divided into three groups based on their diagnosis as control (healthy subjects), group I (subjects with lower Gensini score), and group II (subjects with higher Gensini score). Global Registry of Acute Coronary Events (GRACE) risk score and Gensini scores were calculated after coronary angiogram in the patient groups. Then, venous blood samples were collected from each participant. Serum IMA levels and the levels of routine laboratory markers were measured. The serum lymphocyte, neutrophil, and high-density lipid (HDL) levels were statistically insignificant between the groups. The white blood cell (WBC) count and IMA levels were significantly higher in the patient groups (p < 0.05). The GRACE and Gensini scores were significantly different in the patient groups (p < 0.05). However, there was no significant correlation between the GRACE and Gensini scores and serum IMA levels. Although IMA levels can be a significant predictor for ischemia according to previous reports, this biomarker seems to be insufficient for determining the severity of disease in patients with CAD.

Prognostic value of age-adjusted d-dimer cutoff thresholds in patients with myocardial infarction treated by percutaneous coronary intervention

Abstract Introduction The association between D-dimer and outcomes of patients with myocardial infarction (MI) remains controversial. Using age-adjusted D-dimer cutoff thresholds significantly improves the accuracy of diagnosis for thrombotic diseases. This study aimed to investigate the prognostic value of age-adjusted D-dimer in MI patients treated by percutaneous coronary intervention (PCI). Methods In this observational study, 3614 consecutive patients with MI treated by PCI were retrospectively recruited. The baseline age-adjusted D-dimer threshold was 500 ng/mL, and was calculated as age × 10 in patients older than 50 years. Cox regression was used for outcome analysis. The primary outcome was all-cause death. Discrimination and reclassification were calculated to assess the additional prognostic value of D-dimer when combined with established clinical risk factors and the Global Registry of Acute Coronary Events (GRACE) risk score. Results During a median follow-up of 652 days, a total of 194 deaths occurred. High D-dimer level, as defined by age-adjusted thresholds, was an independent predictor for all-cause death (hazard ratio:1.67, 95% confidence interval: 1.23–2.27, P=0.001). Addition of D-dimer level (high or low) significantly improved risk classification for death when combined with established clinical risk factors (net reclassification index [NRI]: 0.601, P&amp;lt;0.001; integrated discrimination improvement [IDI]: 0.011, P=0.046) and GRACE score (NRI: 0.618, P&amp;lt;0.001; IDI: 0.015, P=0.011). Conclusions In patients with MI treated by PCI, D-dimer elevation defined by age-adjusted thresholds was an independent predictor for adverse outcomes, and provided additional prognostic value when combined with clinical risk factors and GRACE score. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): Chinese Academy of Medical Sciences

Prognostic impacts of prehospital age shock index in patients with acute myocardial infarction

Abstract Introduction Early identification of high-risk patients is the cornerstone of managing patients with acute myocardial infarction (AMI). Age Shock index (ASI; age multiplied by the ratio of heart rate/systolic blood pressure) has been reported to be similar to Global Registry of Acute Coronary Events (GRACE) risk score for predicting mortality in patients with AMI. However, prognostic impacts of prehospital ASI (pre-ASI) in patients with AMI remain unknown. Methods We analyzed of 2578 AMI patients who underwent emergency primary percutaneous coronary intervention (PCI) from January 2013 to March 2018, using data from Mie ACS Registry, a prospective and multicenter registry in Japan. Pre-ASI was recorded by emergency medical services at the first contact with the patient before admission, and in-hospital ASI (in-ASI) was recorded prior to PCI at admission. The primary end point was defined as all-cause death. Results Median follow-up duration was 753 days (497–838 days). All-cause death was observed in 230 (8.9%) patients. The ROC-AUC (Receiver operating characteristic-area under the curve) of pre-ASI for all- cause death was 0.76 (p&amp;lt;0.001), which was similar to that of in-ASI (0.78, p&amp;lt;0.001) (p=0.25 for pre-ASI versus in-ASI). The cut-off value for pre-ASI and in-ASI was for the prediction of all-cause death was both 45 with a sensitivity of 0.66 and a specificity of 0.78, with a sensitivity of 0.68 and a specificity of 0.76 respectively. According to the Kaplan-Meier survival analysis by combination of pre-ASI≥45 and in-ASI≥45, the patients with pre-ASI≥45 and in-ASI≥45 showed significantly higher all-cause mortality compared to the patients with pre-ASI≥45 and in-ASI&amp;lt;45, the patients with pre-ASI&amp;lt;45 and in-ASI≥45, and the patients with pre-ASI&amp;lt;45 and in-ASI&amp;lt;45 (p&amp;lt;0.001) (Figure). The addition of pre-ASI≥45 to in-ASI≥45 (global chi-squared score: 205) resulted in a significantly increased global chi-squared score, suggesting the incremental prognostic value of pre-ASI (267; p&amp;lt;0.001). Multivariate cox proportional hazard regression analysis for all-cause mortality demonstrated pre-ASI≥45 was a significant independent predictor (HR: 4.86; 95% CI: 3.36 to 7.02, p&amp;lt;0.001). It was strongest predictor compared to left ventricular ejection fraction&amp;lt;40% (HR: 2.45; 95% CI 1.67 to 3.58, p&amp;lt;0.001), hemodialysis (HR: 3.45; 95% CI 1.66 to 7.17, p=0.001), door to balloon time&amp;gt;90 minutes (HR: 1.66; 95% CI 1.18 to 2.34, p=0.004). Conclusions High pre-ASI predict increase mortality and assessment of both high pre-ASI and high in-ASI enhance risk stratification in patients with AMI. Early recognizing high pre-ASI may help us make better strategies and improve prognosis for high-risk AMI patients. Figure 1 Funding Acknowledgement Type of funding source: None

Outcomes in non-ST-segment elevation myocardial infarction patients according to heart failure at admission: Insights from a large trial with systematic early invasive strategy.

Previous studies published before the era of systematic early invasive strategy have reported a higher mortality in non-ST-segment elevation myocardial infarction patients with heart failure. The aim of our study was to compare the clinical characteristics, outcomes and causes of death of patients according to their heart failure status at admission in a large non-ST-segment elevation myocardial infarction population with planned early invasive management. We performed a post-hoc analysis of the Treatment of Acute Coronary Syndrome with Otamixaban randomised trial which included non-ST-segment elevation myocardial infarction patients with systematic coronary angiography within 72 h. Patients were categorised according to presence or absence of heart failure (Killip grade ≥2) at admission. A total of 13,172 patients were enrolled, of whom 944 (7.2%) had heart failure. At day 30, death occurred in 213 patients (1.6%) and cardiovascular death was the dominant cause of death in both groups ((with vs without heart failure) 78.8% vs 78.4%, p = 0.94). At six months, death occurred in 90/944 (9.5%) patients with heart failure and 258/12228 patients without heart failure (2.1%) (p < 0.001). After adjustment on Global Registry of Acute Coronary Events risk score, heart failure was an independent predictor of all-cause mortality at day 30 (odds ratio: 1.58; 95% confidence interval, 1.06-2.36, p = 0.02) and at day 180 (odds ratio: 1.77; 95% confidence interval, 1.3-2.42, p < 0.001) as well as of ischaemic complications (cardiovascular death, myocardial infarction, stent thrombosis or stroke at day 30 (odds ratio: 1.28; 95% confidence interval, 1.01-1.62, p = 0.04). Non-ST-segment elevation myocardial infarction patients with heart failure at admission still have worse outcomes than those without heart failure, even with systematic early invasive strategy. Further efforts are needed to improve the prognosis of these high risk patients.

A risk score model to predict in-hospital mortality of patients with end-stage renal disease and acute myocardial infarction.

Chronic kidney disease (CKD) significantly increases the rate of adverse cardiovascular events in patients with coronary artery disease. In this study, we aimed to establish a risk score (RS) model to predict in-hospital mortality risk in patients with end-stage renal disease (ESRD) and acute myocardial infarction (AMI). A total of 113 consecutive patients with ESRD and AMI were retrospectively enrolled between January 1, 2015 and December 31, 2019. All patients received regular hemodialysis and were divided into two groups according to the prognosis during hospitalization. Univariable and multivariable logistic regression analyses were used to identify the risk factors of in-hospital mortality. A RS model was developed based on multiple regression analysis and was internally validated using 1000 bootstrap analysis. The receiver operating characteristic (ROC) curve was performed, and the area under curve (AUC) was analyzed to evaluate the performance of the RS model. AUCs were compared using the Z test. Thirty-three patients died during hospitalization, resulting in in-hospital mortality rate of 29.2%. After multivariate logistic regression, an RS model (0-8) was established based on five independent factors that were assigned with different points according to relative coefficients (coefficient of the index risk factor divided by the lowest coefficient among these five risk factors; rounded to closest integer): 1 for C-reactive protein (CRP) ≥ 14.2mg/L and left ventricular ejection fraction (LVEF) ≤ V3%; 2 for age ≥ 65years old, heart rate (HR) at admission ≥ 86 beats per minute (bpm) and D-dimer ≥ 2.4mg/L FEU. The present RS model had a sensitivity of 85.7%, the specificity of 84%, and an accuracy of 78.1%. In ROC curve analysis, the model demonstrated a good discriminate power in predicting in-hospital mortality (AUC = 0.895, 95% CI 0.814-0.96; P < 0.001), which was significantly better than the predictive power of the Global Registry of Acute Coronary Events risk score (GRACE RS) (AUC = 0.754, 95% CI 0.641-0.868; P < 0.001 after Z test). A novel RS model, which was established to help predict in-hospital mortality of patients with ESRD and AMI, was easy to use and had higher accuracy than the GRACE RS.

Incorporating the erythrocyte sedimentation rate for enhanced accuracy of the global registry of acute coronary event score in patients with ST-segment elevated myocardial infarction: A retrospective cohort study.

There is scarce evidence that the erythrocyte sedimentation rate (ESR) could efficiently improve the prediction accuracy of the Global Registry of Acute Coronary Events (GRACE) risk score in cases of ST-elevation myocardial infarction (STEMI).A cohort of 1094 STEMI patients undergoing primary percutaneous coronary intervention was retrospectively recruited. Patients were categorized based on the ESR values. Final endpoints included cardiovascular death and major adverse cardiovascular event (MACE) occurrence. The predictive value of combined models with the GRACE score and ESR was assessed by receiver operating characteristic (ROC) analysis, net reclassification improvement (NRI), and integrated discrimination improvement.During the mean follow-up of 23 months, 34 patients died and 190 experienced MACEs, of which 23 patients died in the first year; both endpoints were more frequent in the higher group. The ESR and high-sensitivity C-reactive protein (hs-CRP) were independent risk factors of 1-year cardiovascular death, together with the GRACE score (ESR: hazard ratio = 1.03, P = .006 hs-CRP: hazard ratio = 1.00, P = .001; GRACE: 1.03, P = .012). Although no statistical improvement in the area under the ROC curve was observed in either the GRACE/ESR or the GRACE/hs-CRP model (GRACE/ESR models: 0. 8073 vs GRACE: 0.7714, P = .22; GRACE/ESR models: 0. 7815 vs GRACE: 0.7714, P = .61), the GRACE score and ESR together significantly improved the NRI (0.633; P< .001) compared with the GRACE alone. Regarding the mid-term mortality, adding the ESR to the GRACE score not only improved the NRI (0.8433; P < .001), but also increased the integrated discrimination improvement (0.0509; P = .04).The ESR is an independent risk factor of cardiovascular death and MACE in STEMI patients receiving primary percutaneous coronary intervention. The ESR comparatively enhanced the predictive values of the prognostic model, including the GRACE risk score.