scholarly journals Study of in-hospital outcome in acute myocardial infarction in correlation with thrombolysis in myocardial infarction risk score

2019 ◽  
Vol 7 (6) ◽  
pp. 2377
Author(s):  
Pravin Shingade ◽  
Vinay Meshram ◽  
Umesh Madavi
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Risk Stratification ◽  
Risk Score ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Moderate Risk ◽  
Hospital Outcome ◽  
Timi Risk Score

Background: The Thrombolysis in Myocardial Infarction (TIMI) risk score is purportedly an integral score for mortality risk prediction in fibrinolysis-eligible patients with STEMI. Attempt was made to evaluate the same by correlating risk stratification by TIMI score with hospital outcome of such patients.Methods: There were 145 cases of STEMI were studied and TIMI risk scores were calculated and analysed vis-à-vis various relevant parameters. The patients were divided into three risk groups: ‘low-risk’, ‘moderate-risk’ and ‘high-risk’ based on their TIMI scores. All patients received routine anti-ischemic therapy and were thrombolysed subsequently, monitored in ICCU and followed during hospital stay for occurrence of post-MI complications.Results: There were 79 patients (54.5%) belonged to low-risk group, 48 (33.1%) to moderate-risk group and 18 (12.4%) to high-risk group according to TIMI risk score. The mortality (total 17 deaths) was observed to be highest in the high-risk group (55.6%), followed by moderate-risk (12.2%) and low-risk group (1.28%) respectively. Out of the 7 potentially suspect variables studied, Killips classification grade 2-4 had the highest relative risk (RR-15.85), followed by systolic BP <100mmHg (RR- 10.48), diabetes mellitus (RR- 2.79) and age >65 years (RR- 2.59).Conclusions: The TIMI risk scoring system seems to be one simple, valid and practical bed side tool in quantitative risk stratification and short-term prognosis prediction in patients with STEMI.

scholarly journals MORTALITY OF ACUTE MYOCARDIAL INFARCTION IN RELATION WITH TIMI RISK SCORE

2021 ◽  
Vol 9 (12) ◽  
pp. 403-407
Author(s):  
Owais Ahmed Wani ◽  
◽  
Nasir Ali ◽  
Ouber Qayoom ◽  
Rajveer Beniwal ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Risk Score ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Risk Scores ◽  
Moderate Risk ◽  
Timi Score ◽  
Timi Risk Score

Background: The Thrombolysis in Myocardial Infarction (TIMI) risk score is said to be an important factor in predicting mortality risk in fibrinolysis-eligible STEMI patients. An attempt was made to assess the situation by comparing risk stratification based on the TIMI score with the hospital outcome of such individuals. Methods: 145 STEMI patients were included in this srudy , TIMI risk scores were calculated and analysed vis-Ã -vis various relevant parameters.. Based on their TIMI scores, the patients were placed into three risk groups: low-risk,moderate-risk, and high-risk. All patients received standard anti-ischemic medication, were thrombolyzed, monitored in the ICCU, and monitored throughout their hospital stay for post-MI sequelae. Results: According to the TIMI risk score, 79 patients (54.5%) had low-risk , 48 (33.1%) to the moderate-risk , and 18 (12.4%) to the high-risk . The highest mortality rate (total 17 deaths) was found in the high-risk group (55.6%), followed by moderate-risk (12.2%) and low-risk (1.28%) groups, respectively. Killips categorization grade 2-4 had the highest relative risk (RR-15.85) of the seven potentially dubious variables evaluated, followed by systolic BP 100mmHg (RR-10.48), diabetes mellitus (RR-2.79), and age >65 years (RR- 2.59). Conclusions: In patients with STEMI, the TIMI risk scoring system appears to be a straightforward, valid, and practical bedside tool for quantitative risk classification and short-term prognosis prediction.

scholarly journals Pre-hospital risk assessment in suspected non-ST-elevation acute coronary syndrome: A prospective observational study

2018 ◽  
Vol 9 (1_suppl) ◽  
pp. 5-12 ◽  
Author(s):  
Dominique N van Dongen ◽  
Rudolf T Tolsma ◽  
Marion J Fokkert ◽  
Erik A Badings ◽  
Aize van der Sluis ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Risk Stratification ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Heart Score ◽  
Coronary Syndrome ◽  
Risk Patients ◽  
St Elevation

Background: Pre-hospital risk stratification of non-ST-elevation acute coronary syndrome (NSTE-ACS) by the complete HEART score has not yet been assessed. We investigated whether pre-hospital risk stratification of patients with suspected NSTE-ACS using the HEART score is accurate in predicting major adverse cardiac events (MACE). Methods: This is a prospective observational study, including 700 patients with suspected NSTE-ACS. Risk stratification was performed by ambulance paramedics, using the HEART score; low risk was defined as HEART score ⩽ 3. Primary endpoint was occurrence of MACE within 45 days after inclusion. Secondary endpoint was myocardial infarction or death. Results: A total of 172 patients (24.6%) were stratified as low risk and 528 patients (75.4%) as intermediate to high risk. Mean age was 53.9 years in the low risk group and 66.7 years in the intermediate to high risk group ( p<0.001), 50% were male in the low risk group versus 60% in the intermediate to high risk group ( p=0.026). MACE occurred in five patients in the low risk group (2.9%) and in 111 (21.0%) patients at intermediate or high risk ( p<0.001). There were no deaths in the low risk group and the occurrence of acute myocardial infarction in this group was 1.2%. In the high risk group six patients died (1.1%) and 76 patients had myocardial infarction (14.4%). Conclusions: In suspected NSTE-ACS, pre-hospital risk stratification by ambulance paramedics, including troponin measurement, is accurate in differentiating between low and intermediate to high risk. Future studies should investigate whether transportation of low risk patients to a hospital can be avoided, and whether high risk patients benefit from immediate transfer to a hospital with early coronary angiography possibilities.

Short-term risk stratification using CADILLAC risk score in patients with ST elevation myocardial infarction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Satou ◽  
H Kitahara ◽  
K Ishikawa ◽  
T Nakayama ◽  
Y Fujimoto ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Adverse Events ◽  
Risk Score ◽  
Risk Group ◽  
Risk Groups ◽  
Low Risk ◽  
Short Term ◽  
Recurrent Myocardial Infarction ◽  
St Elevation

Abstract Background The recent reperfusion therapy for ST-elevation myocardial infarction (STEMI) has made the length of hospital stay shorter without adverse events. CADILLAC risk score is reportedly one of the risk scores predicting the long-term prognosis in STEMI patients. Purpose To invenstigate the usefulness of CADILLAC risk score for predicting short-term outcomes in STEMI patients. Methods Consecutive patients admitted to our university hospital and our medical center with STEMI (excluding shock, arrest case) who underwent primary PCI between January 2012 and April 2018 (n=387) were enrolled in this study. The patients were classified into 3 groups according to the CADILLAC risk score: low risk (n=176), intermediate risk (n=87), and high risk (n=124). Data on adverse events within 30 days after hospitalization, including in-hospital death, sustained ventricular arrhythmia, recurrent myocardial infarction, heart failure requiring intravenous treatment, stroke, or clinical hemorrhage, were collected. Results In the low risk group, adverse events within 30 days were significantly less observed, compared to the intermediate and high risk groups (n=13, 7.4% vs. n=13, 14.9% vs. n=58, 46.8%, p&lt;0.001). In particular, all adverse events occurred within 3 days in the low risk group, although adverse events, such as heart failure (n=4), recurrent myocardial infarction (n=1), stroke (n=1), and gastrointestinal bleeding (n=1), were substantially observed after day 4 of hospitalization in the intermediate and high risk groups. Conclusions In STEMI patients with low CADILLAC risk score, better short-term prognosis was observed compared to the intermediate and high risk groups, and all adverse events occurred within 3 days of hospitalization, suggesting that discharge at day 4 might be safe in this study population. CADILLAC risk score may help stratify patient risk for short-term prognosis and adjust management of STEMI patients. Initial event occurrence timing Funding Acknowledgement Type of funding source: None

Abstract TP387: Abcd 2 Score Predicts The Long-term Risk Of Stroke After Transient Ischemic Attack: Fukuoka Stroke Registry

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Yasuhiro Kumai ◽  
Takuya Kiyohara ◽  
Masahiro Kamouchi ◽  
Sohei Yoshimura ◽  
Hiroshi Sugimori ◽  
...  
Keyword(s):  
High Risk ◽  
Transient Ischemic Attack ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Rank Test ◽  
Moderate Risk ◽  
Stroke Registry ◽  
Ischemic Attack

Background and Purpose— ABCD 2 score has been developed to predict the early risk of stroke after transient ischemic attack (TIA). The aim of this study was to clarify whether ABCD 2 score predicts the occurrence of stroke in the long term after TIA. Methods— Fukuoka Stroke Registry (FSR) is a multicenter epidemiological study database on acute stoke. From June 2007 to June 2011, 496 (305 males, 70 ± 13 years of age) patients who had suffered from TIA and were hospitalized in the 7 stroke centers within 7 days after the onset of TIA were enrolled in this study. The patients were divided into three groups according to the risk: low-risk (ABCD 2 score 0-3; n=72), moderate-risk (4-5; n=229) and high-risk group (6-7; n=195). They were followed up prospectively for up to 3 years. Cox proportional hazard regression model was used to elucidate whether ABCD 2 score was a predictor for stroke after TIA after adjusting for confounding factors. Results— Among three groups, there were significant differences in age, hypertension, diabetes mellitus and the decrease in estimated glomerular filtration rate (P<0.01, significantly). During a mean follow-up of 1.3 years, Kaplan-Meier analysis demonstrated that the stroke rate in TIA patients was significantly lower in low-risk group than in moderate-risk or high-risk group (log rank test, p<0.001). The adjusted hazard ratios for stroke in patients with TIA increased with moderate-risk group (Hazard ratio [HR]: 3.47, 95% CI: 1.03-21.66, P<0.05) and high-risk group (HR: 4.46, 95% CI: 1.31-27.85, P<0.05), compared to low-risk group. Conclusions— The ABCD 2 score is able to predict the long-term risk of stroke after TIA.

A Four-gene Autophagy-related Prognostic Signature and Its Association With Immune Landscape in Lung Squamous Cell Carcinoma

2020 ◽  
Author(s):  
Lumeng Luo ◽  
Minghe Lv ◽  
Xuan Li ◽  
Tiankui Qiao ◽  
Kuaile Zhao ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Risk Score ◽  
Squamous Cell ◽  
Immune Suppression ◽  
Risk Group ◽  
Lung Squamous Cell Carcinoma ◽  
High Risk Group ◽  
Low Risk

Abstract Background: Recent advances in immune checkpoint inhibitors (ICIs) have dramatically changed the therapeutic strategy against lung squamous cell carcinoma (LUSC). In the era of immunotherapy, effective biomarkers to better predict outcomes and inform treatment decisions for patients diagnosed with LUSC are urgently needed. We hypothesized that immune contexture of LUSC is potentially dictated by tumor intrinsic events, such as autophagy. Thus, we attempted to construct an autophagy-related risk signature and examine its prediction value for immune phenotype in LUSC.Method: The expression profile of LUSC was obtained from the cancer genome atlas (TCGA) database and the profile of autophagy-related genes (ARGs) was extracted. The survival‑related ARGs (sARGs) was screened out through survival analyses. Random forest was performed to select the sARGs and construct a prognostic risk signature based on these sARGs. The signature was further validated by receiver operating characteristic (ROC) analysis and Cox regression. GEO dataset was used as an independent testing dataset. Patients were divided into high-risk and low-risk group based on the risk score. Then, gene set enrichment analysis (GSEA) was conducted between the two groups. The Single-Sample GSEA (ssGSEA) was introduced to quantify the relative infiltration of immune cells. The correlations between risk score and several main immune checkpoints were examined. And the ESTIMATE algorithm was used to calculate the estimate/immune/stromal scores of the LUSC. Results: Four ARGs (CFLAR, RGS19, PINK1 and CTSD) with the most significant prognostic values were enrolled to construct the risk signature. Patients in high-risk group had better prognosis than the low-risk group (P < 0.0001 in TCGA; P < 0.01 in GEO) and considered as an independent prognosis factor. We also found that high-risk group indicated an immune-suppression status and had higher levels of infiltrating regulatory T cells and macrophages, which are correlated with worse outcome. Besides, risk score showed a significantly positive correlation with the expression of PD-1 and CTLA4, as well as estimate score and immune score.Conclusion: This study established a novel autophagy-related four-gene prognostic risk signature, and the autophagy-related scores are associated with immune landscape of LUSC, with higher score indicating a stronger immune-suppression status.

P3609Temporal trends of the management and outcomes of patients after myocardial infarction according to the risk for recurrent cardiovascular events

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Grinberg ◽  
T Bental ◽  
Y Hammer ◽  
A R Assali ◽  
H Vaknin-Assa ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Cardiovascular Events ◽  
Risk Group ◽  
Temporal Trends ◽  
High Risk Group ◽  
Low Risk ◽  
Intermediate Risk ◽  
High Risk Patients ◽  
Risk Patients

Abstract Background Following Myocardial Infarction (MI), patients are at increased risk for recurrent cardiovascular events, particularly during the immediate period. Yet some patients are at higher risk than others, owing to their clinical characteristics and comorbidities, these high-risk patients are less often treated with guideline-recommended therapies. Aim To examine temporal trends in treatment and outcomes of patients with MI according to the TIMI risk score for secondary prevention (TRS2°P), a recently validated risk stratification tool. Methods A retrospective cohort study of patients with an acute MI, who underwent percutaneous coronary intervention and were discharged alive between 2004–2016. Temporal trends were examined in the early (2004–2010) and late (2011–2016) time-periods. Patients were stratified by the TRS2°P to a low (≤1), intermediate (2) or high-risk group (≥3). Clinical outcomes included 30-day MACE (death, MI, target vessel revascularization, coronary artery bypass grafting, unstable angina or stroke) and 1-year mortality. Results Among 4921 patients, 31% were low-risk, 27% intermediate-risk and 42% high-risk. Compared to low and intermediate-risk patients, high-risk patients were older, more commonly female, and had more comorbidities such as hypertension, diabetes, peripheral vascular disease, and chronic kidney disease. They presented more often with non ST elevation MI and 3-vessel disease. High-risk patients were less likely to receive drug eluting stents and potent anti-platelet drugs, among other guideline-recommended therapies. Evidently, they experienced higher 30-day MACE (8.1% vs. 3.9% and 2.1% in intermediate and low-risk, respectively, P<0.001) and 1-year mortality (10.4% vs. 3.9% and 1.1% in intermediate and low-risk, respectively, P<0.001). During time, comparing the early to the late-period, the use of potent antiplatelets and statins increased among the entire cohort (P<0.001). However, only the high-risk group demonstrated a significantly lower 30-day MACE (P=0.001). During time, there were no differences in 1-year mortality rate among all risk categories. Temporal trends in 30-day MACE by TRS2°P Conclusion Despite a better application of guideline-recommended therapies, high-risk patients after MI are still relatively undertreated. Nevertheless, they demonstrated the most notable improvement in outcomes over time.

scholarly journals A nomogram with lymph node status predicts survival and the benefit of postoperative  adjuvant therapy in IIIA-N2 Non-small cell lung cancer patients after surgery

2020 ◽  
Author(s):  
Ye Chen ◽  
Lei Dong ◽  
Minjing Li ◽  
Fei He ◽  
ChenHui Qiu ◽  
...  
Keyword(s):  
High Risk ◽  
Lymph Nodes ◽  
Survival Benefit ◽  
Risk Group ◽  
High Risk Group ◽  
Small Cell ◽  
Low Risk ◽  
Small Cell Lung ◽  
Moderate Risk ◽  
Nsclc Patients

Abstract Objective: This study aimed at establishing a novel nomogram predicting overall survival and investigating the survival benefit of various postoperative adjuvant treatments (POAT) in IIIA-N2 Non-small cell lung cancer (NSCLC) patients after surgery.Methods: Data of IIIA-N2 NSCLC patients between 2004 and 2016 were collected from the Surveillance, Epidemiology, and End Results (SEER). Patients were excluded if the information regarding follow-up time and clinicopathological features were incomplete. Through Univariate and multivariate analyses, independent prognostic factors were identified and integrated into the construction of nomogram. The survival benefit of POAT was evaluated in model-defined low-risk, intermediate-risk, and high-risk subgroups, respectively.Results: In total, 4389 patients were finally included for analysis. Patients’ age, sex, T stage, differentiation grade, examined lymph nodes number (ELN), metastatic lymph nodes number (MLN), and metastatic lymph nodes ratio (LNR) were identified as independent prognostic factors and were integrated into the construction of nomogram. The C-index and calibration curves indicated that the predictive performance of the nomogram was satisfactory. Patients were then categorized into three prognostic groups with the increasing risk of all-cause of death. The prognosis of patients receiving POAT (POCT or PORT plus POCT) and patients receiving surgery alone was comparable in low-risk group, while POCT could significantly prolong survival for IIIA-N2 NSCLC patients after surgery in moderate-risk and high-risk groups. Only patients in high-risk group could benefit from the combination of postoperative radiotherapy (PORT) and postoperative chemotherapy (POCT).Conclusion: In this large-cohort retrospective study, A survival-predicting nomogram and risk stratification model were established to estimate prognosis in IIIA-N2 NSCLC patients. Surgery alone was recommended as the first choice of treatment to patients in low-risk group. POCT was recommended for patients in moderate-risk group, and the combination of PORT and POCT was recommended for patients in high-risk group. This study may provide additional integration, introspection, and improvement for therapeutic decision-making.

scholarly journals Identification of a Prognostic Signature Associated With the Homeobox Gene Family for Bladder Cancer

2021 ◽  
Vol 8 ◽  
Author(s):  
Bingqi Dong ◽  
Jiaming Liang ◽  
Ding Li ◽  
Wenping Song ◽  
Jinbo Song ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
High Risk ◽  
Gene Family ◽  
Risk Score ◽  
Risk Group ◽  
Homeobox Genes ◽  
Homeobox Gene ◽  
High Risk Group ◽  
Low Risk ◽  
Prognostic Signature

Background: Bladder cancer (BLCA) is a common malignant tumor of the genitourinary system, and there is a lack of specific, reliable, and non-invasive tumor biomarker tests for diagnosis and prognosis evaluation. Homeobox genes play a vital role in BLCA tumorigenesis and development, but few studies have focused on the prognostic value of homeobox genes in BLCA. In this study, we aim to develop a prognostic signature associated with the homeobox gene family for BLCA.Methods: The RNA sequencing data, clinical data, and probe annotation files of BLCA patients were downloaded from the Gene Expression Omnibus database and the University of California, Santa Cruz (UCSC), Xena Browser. First, differentially expressed homeobox gene screening between tumor and normal samples was performed using the “limma” and robust rank aggregation (RRA) methods. The mutation data were obtained with the “TCGAmutation” package and visualized with the “maftools” package. Kaplan–Meier curves were plotted with the “survminer” package. Then, a signature was constructed by logistic regression analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using “clusterProfiler.” Furthermore, the infiltration level of each immune cell type was estimated using the single-sample gene set enrichment analysis (ssGSEA) algorithm. Finally, the performance of the signature was evaluated by receiver-operating characteristic (ROC) curve and calibration curve analyses.Results: Six genes were selected to construct this prognostic model: TSHZ3, ZFHX4, ZEB2, MEIS1, ISL1, and HOXC4. We divided the BLCA cohort into high- and low-risk groups based on the median risk score calculated with the novel signature. The overall survival (OS) rate of the high-risk group was significantly lower than that of the low-risk group. The infiltration levels of almost all immune cells were significantly higher in the high-risk group than in the low-risk group. The average risk score for the group that responded to immunotherapy was significantly lower than that of the group that did not.Conclusion: We constructed a risk prediction signature with six homeobox genes, which showed good accuracy and consistency in predicting the patient’s prognosis and response to immunotherapy. Therefore, this signature can be a potential biomarker and treatment target for BLCA patients.

scholarly journals Development and validation of a ferroptosis-related prognostic model in pancreatic cancer

2021 ◽  
Author(s):  
Chen-jie Qiu ◽  
Xue-bing Wang ◽  
Zi-ruo Zheng ◽  
Chao-zhi Yang ◽  
Kai Lin ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
T Cell ◽  
High Risk ◽  
Risk Score ◽  
Prognostic Model ◽  
Immune Cell ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Immune Cell Infiltration

Abstract Background: The purpose of this study was to identify ferroptosis-related genes (FRGs) associated with the prognosis of pancreatic cancer and to construct a prognostic model based on FRGs. Methods: Based on pancreatic cancer data obtained from The Cancer Genome Atlas database, we established the prognostic model from 232 FRGs. A nomogram was constructed by combining the prognostic model and clinicopathological features. Gene Expression Omnibus datasets and tissue samples obtained from our center were utilized to validate the model. Relationship between risk score and immune cell infiltration was explored by CIBERSORT and TIMER.Results: The prognostic model was established based on four FRGs (ENPP2, ATG4D, SLC2A1 and MAP3K5) and can be an independent risk factor in pancreatic cancer (HR 1.648, 95% CI 1.335-2.035, p < 0.001). Based on the median risk score, patients were divided into a high-risk group and a low-risk group. The prognosis of the low-risk group was significantly better than that of the high-risk group. In the high-risk group, patients treated with chemotherapy had a better prognosis. The nomogram showed that the model was the most important element. Gene set enrichment analysis identified three key pathways, namely, TGFβ signaling, HIF signaling pathway and adherens junction. The prognostic model can also affect the immune cell infiltration, such as macrophages M0, M1, CD4+T cell and CD8+T cell. Conclusion: A ferroptosis-related prognostic model can be employed to predict the prognosis of pancreatic cancer. Ferroptosis can be an important marker and immunotherapy can be a potential therapeutic target for pancreatic cancer.

scholarly journals Comparison of Thrombolysis in Myocardial Infarction Score and Heart Score in risk stratification of acute myocardial infarction patients, prognostic accuracy and arrhythmia incidence

2019 ◽  
Vol 7 (9) ◽  
pp. 3300
Author(s):  
Keerthana Batyala ◽  
M. V. Nagabhushana ◽  
Malli Dorasanamma
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
High Risk ◽  
Risk Stratification ◽  
Risk Group ◽  
High Risk Group ◽  
P Value ◽  
Heart Score ◽  
Prognostic Accuracy ◽  
Timi Score

Background: To compare TIMI & HEART SCORE for their risk stratification in Acute Myocardial Infarction Patients,  prognostic accuracy and Arrhythmia incidence.Methods: This observational study is conducted in a Tertiary care hospital over a period of 2 years from August 2017 to July 2019. A total of 100 patients presented to ER with Chest Pain are selected for study. Patients were monitored for a period of one month in ICCU.Results: In present study out of 61 cases with TIMI score ≥5, mortality of 11.5%(7 cases, p value 0.028). Heart score more than 6  constitutes high risk group, out of which mortality was observed in 7.45% cases (p=0.48). Most of the arrhythmias (70.49%) in present study observed in patients with TIMI score ≥5 (High risk group) which is statistically significant with p value 0.002. Most of the arrhythmias in present study observed in patients with HS ≥8 which is not statistically significant with p value 0.135.Conclusions: In present study, overall mortality rate was 7% and these patients who died constitutes to high risk group with TIMI. HEART SCORE identified more patients as low risk compared to TIMI SCORE. TIMI SCORE is a good predictor of arrhythmia incidence.

Sign in / Sign up

Export Citation Format

Share Document