scholarly journals Management and outcome across the spectrum of high‐risk patients with myocardial infarction according to the thrmobolysis in myocardial infarction (TIMI) risk‐score for secondary prevention

2021 ◽  
Author(s):  
Tzlil Grinberg ◽  
Tamir Bental ◽  
Yoav Hammer ◽  
Abid Assali ◽  
Hana Vaknin‐Assa ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Secondary Prevention ◽  
Risk Score ◽  
High Risk Patients ◽  
Risk Patients ◽  
Timi Risk Score

scholarly journals Appropriate secondary prevention and clinical outcomes after acute myocardial infarction according to atherothrombotic risk stratification: The FAST-MI 2010 registry

2018 ◽  
Vol 26 (4) ◽  
pp. 411-419 ◽  
Author(s):  
Victoria Tea ◽  
Marc Bonaca ◽  
Chekrallah Chamandi ◽  
Marie-Christine Iliou ◽  
Thibaut Lhermusier ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
High Risk ◽  
Secondary Prevention ◽  
High Risk Patients ◽  
Risk Patients ◽  
St Elevation ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

Background Full secondary prevention medication regimen is often under-prescribed after acute myocardial infarction. Design The purpose of this study was to analyse the relationship between prescription of appropriate secondary prevention treatment at discharge and long-term clinical outcomes according to risk level defined by the Thrombolysis In Myocardial Infarction (TIMI) Risk Score for Secondary Prevention (TRS-2P) after acute myocardial infarction. Methods We used data from the 2010 French Registry of Acute ST-Elevation or non-ST-elevation Myocardial Infarction (FAST-MI) registry, including 4169 consecutive acute myocardial infarction patients admitted to cardiac intensive care units in France. Level of risk was stratified in three groups using the TRS-2P score: group 1 (low-risk; TRS-2P=0/1); group 2 (intermediate-risk; TRS-2P=2); and group 3 (high-risk; TRS-2P≥3). Appropriate secondary prevention treatment was defined according to the latest guidelines (dual antiplatelet therapy and moderate/high dose statins for all; new-P2Y12 inhibitors, angiotensin-converting-enzyme inhibitor/angiotensin-receptor-blockers and beta-blockers as indicated). Results Prevalence of groups 1, 2 and 3 was 46%, 25% and 29% respectively. Appropriate secondary prevention treatment at discharge was used in 39.5%, 37% and 28% of each group, respectively. After multivariate adjustment, evidence-based treatments at discharge were associated with lower rates of major adverse cardiovascular events (death, re-myocardial infarction or stroke) at five years especially in high-risk patients: hazard ratio = 0.82 (95% confidence interval: 0.59–1.12, p = 0.21) in group 1, 0.74 (0.54–1.01; p = 0.06) in group 2, and 0.64 (0.52–0.79, p < 0.001) in group 3. Conclusions Use of appropriate secondary prevention treatment at discharge was inversely correlated with patient risk. The increased hazard related to lack of prescription of recommended medications was much larger in high-risk patients. Specific efforts should be directed at better prescription of recommended treatment, particularly in high-risk patients.

Abstract 334: Potential Risk Factors for Recurrent Coronary Revascularization and Hospitalization for Unstable Angina Following Acute Myocardial Infarction

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Kim Smolderen ◽  
Yan Li ◽  
David Cohen ◽  
Suzanne V Arnold ◽  
Phil G Jones ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
High Risk ◽  
Unstable Angina ◽  
Risk Score ◽  
Coronary Revascularization ◽  
High Risk Patients ◽  
Grace Risk Score ◽  
Increased Risk ◽  
Risk Patients

Background: Subsequent hospitalizations after acute myocardial infarction (AMI) for unstable angina (UA) and coronary revascularization represent common and important clinical events. While numerous studies sought to predict survival, AMI, and all-cause rehospitalization after AMI, there are limited data about how to best risk-stratify patients for UA and subsequent revascularization. Understanding these factors can support the development of more efficient AMI care. Methods: In the multi-center TRIUMPH registry, we used 3,283 patients with detailed baseline and 1-year follow-up information, including adjudicated hospitalizations, following initial AMI admission. An initial prediction model was derived after examining > 60 demographic, socio-economic, comorbidity, AMI severity, treatment, psychosocial and health status characteristics using hierarchical Cox Proportional Hazards for UA or revascularization. Staged PCIs and elective CABGs performed ≤1 month were excluded. Results: A total of 140 (4.3%) patients were readmitted ≤1 year for UA and 158 (4.8%) for revascularization. Independent predictors of UA were female sex (HR=1.88; 95%CI: 1.33, 2.65), prior PCI (HR=1.64; 95%CI: 1.12, 2.39), prior CABG (HR=2.06; 95%CI: 1.28, 3.32), and GRACE risk score (HR per 1 point increase=0.99; 95%CI: 0.98, 0.99). Independent predictors of revascularization were diseased vessels >1 (HR=2.50; 95%CI: 1.74, 3.60), and GRACE risk score (HR=0.99; 95%CI: 0.99, 1.00). While high-risk patients (those with diabetes, peripheral artery and cerebrovascular disease) were at increased risk of being readmitted for UA (HR=1.48; 95%CI 1.04, 2.10) or revascularization (HR=1.35; 95%CI: 0.97, 1.88), there was no interaction between these associations and risk status, suggesting equal prognostic significance in those with and without high-risk characteristics. Conclusion: Unique characteristics are associated with admissions for UA and revascularization. Creating multivariable models, risk scores and prospective risk stratification can support tailoring treatment to those at highest risk, although prospective studies are needed to establish the best management for high-risk patients.

Outcome of carotid endarterectomy under local anaesthesia with respect to the patients’ risk profile

VASA ◽  
2009 ◽  
Vol 38 (3) ◽  
pp. 225-233 ◽  
Author(s):  
Aleksic ◽  
Luebke ◽  
Brunkwall
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Carotid Endarterectomy ◽  
Complication Rate ◽  
Local Anaesthesia ◽  
High Risk Group ◽  
High Risk Patients ◽  
Hostile Neck ◽  
Risk Patients ◽  
Angioplasty And Stenting

Background: In the present study the perioperative complication rate is compared between high- and low-risk patients when carotid endarterectomy (CEA) is routinely performed under local anaesthesia (LA). Patients and methods: From January 2000 through June 2008 1220 consecutive patients underwent CEA under LA. High-risk patients fulfilled at least one of the following characteristics: ASA 4 classification, “hostile neck”, recurrent ICA stenosis, contralateral ICA occlusion, age ≥ 80 years. The combined complication rate comprised any new neurological deficit (TIA or stroke), myocardial infarction or death within 30 days after CEA, which was compared between patient groups. Results: Overall 309 patients (25%) were attributed to the high-risk group, which differed significantly regarding sex distribution (more males: 70% vs. 63%, p = 0,011), neurological presentation (more asymptomatic: 72% vs. 62%, p = 0,001) and shunt necessity (33% vs. 14%, p < 0,001). In 32 patients 17 TIAs and 15 strokes were observed. In 3 patients a myocardial infarction occurred. Death occurred in one patient following a stroke and in another patient following myocardial infarction, leading to a combined complication rate of 2,9% (35/1220). In the multivariate analysis only previous neurological symptomatology (OR 2,85, 95% CI 1,38-5,91) and intraoperative shunting (OR 5,57, 95% CI 2,69-11,55) were identified as independent risk factors for an increased combined complication rate. Conclusions: With the routine use of LA, CEA was not associated with worse outcome in high-risk patients. Considering the data reported in the literature, it does not appear justified to refer high-risk patients principally to carotid angioplasty and stenting (CAS) when LA can be chosen to perform CEA.

Effect of a Real-Time Risk Score on 30-day Readmission Reduction in Singapore

2021 ◽  
Vol 12 (02) ◽  
pp. 372-382
Author(s):  
Christine Xia Wu ◽  
Ernest Suresh ◽  
Francis Wei Loong Phng ◽  
Kai Pik Tai ◽  
Janthorn Pakdeethai ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Risk ◽  
Real Time ◽  
Risk Score ◽  
Patient Specific ◽  
Learning Models ◽  
Medicine Department ◽  
High Risk Patients ◽  
Risk Patients ◽  
Machine Learning Models

Abstract Objective To develop a risk score for the real-time prediction of readmissions for patients using patient specific information captured in electronic medical records (EMR) in Singapore to enable the prospective identification of high-risk patients for enrolment in timely interventions. Methods Machine-learning models were built to estimate the probability of a patient being readmitted within 30 days of discharge. EMR of 25,472 patients discharged from the medicine department at Ng Teng Fong General Hospital between January 2016 and December 2016 were extracted retrospectively for training and internal validation of the models. We developed and implemented a real-time 30-day readmission risk score generation in the EMR system, which enabled the flagging of high-risk patients to care providers in the hospital. Based on the daily high-risk patient list, the various interfaces and flow sheets in the EMR were configured according to the information needs of the various stakeholders such as the inpatient medical, nursing, case management, emergency department, and postdischarge care teams. Results Overall, the machine-learning models achieved good performance with area under the receiver operating characteristic ranging from 0.77 to 0.81. The models were used to proactively identify and attend to patients who are at risk of readmission before an actual readmission occurs. This approach successfully reduced the 30-day readmission rate for patients admitted to the medicine department from 11.7% in 2017 to 10.1% in 2019 (p < 0.01) after risk adjustment. Conclusion Machine-learning models can be deployed in the EMR system to provide real-time forecasts for a more comprehensive outlook in the aspects of decision-making and care provision.

scholarly journals Does the implementation of a novel intensive care discharge risk score and nurse-led inpatient review tool improve outcome? A prospective cohort study in two intensive care units in the UK

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e018322
Author(s):  
Jez Fabes ◽  
William Seligman ◽  
Carolyn Barrett ◽  
Stuart McKechnie ◽  
John Griffiths
Keyword(s):  
Intensive Care ◽  
High Risk ◽  
Risk Score ◽  
Prospective Cohort ◽  
Data Set ◽  
High Risk Patients ◽  
Poor Outcome ◽  
Icu Discharge ◽  
Risk Patients ◽  
Risk Scoring

ObjectiveTo develop a clinical prediction model for poor outcome after intensive care unit (ICU) discharge in a large observational data set and couple this to an acute post-ICU ward-based review tool (PIRT) to identify high-risk patients at the time of ICU discharge and improve their acute ward-based review and outcome.DesignRetrospective patient cohort of index ICU admissions between June 2006 and October 2011 receiving routine inpatient review. Prospective cohort between March 2012 and March 2013 underwent risk scoring (PIRT) which subsequently guided inpatient ward-based review.SettingTwo UK adult ICUs.Participants4212 eligible discharges from ICU in the retrospective development cohort and 1028 patients included in the prospective intervention cohort.InterventionsMultivariate analysis was performed to determine factors associated with poor outcome in the retrospective cohort and used to generate a discharge risk score. A discharge and daily ward-based review tool incorporating an adjusted risk score was introduced. The prospective cohort underwent risk scoring at ICU discharge and inpatient review using the PIRT.OutcomesThe primary outcome was the composite of death or readmission to ICU within 14 days of ICU discharge following the index ICU admission.ResultsPIRT review was achieved for 67.3% of all eligible discharges and improved the targeting of acute post-ICU review to high-risk patients. The presence of ward-based PIRT review in the prospective cohort did not correlate with a reduction in poor outcome overall (P=0.876) or overall readmission but did reduce early readmission (within the first 48 hours) from 4.5% to 3.6% (P=0.039), while increasing the rate of late readmission (48 hours to 14 days) from 2.7% to 5.8% (P=0.046).ConclusionPIRT facilitates the appropriate targeting of nurse-led inpatient review acutely after ICU discharge but does not reduce hospital mortality or overall readmission rates to ICU.

scholarly journals A Tumor Progression Related 7-Gene Signature Indicates Prognosis and Tumor Immune Characteristics of Gastric Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Fen Liu ◽  
Zongcheng Yang ◽  
Lixin Zheng ◽  
Wei Shao ◽  
Xiujie Cui ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
High Risk ◽  
Cancer Progression ◽  
Risk Score ◽  
Risk Model ◽  
Cox Regression ◽  
Hub Genes ◽  
Cox Regression Analysis ◽  
High Risk Patients ◽  
Risk Patients

BackgroundGastric cancer is a common gastrointestinal malignancy. Since it is often diagnosed in the advanced stage, its mortality rate is high. Traditional therapies (such as continuous chemotherapy) are not satisfactory for advanced gastric cancer, but immunotherapy has shown great therapeutic potential. Gastric cancer has high molecular and phenotypic heterogeneity. New strategies for accurate prognostic evaluation and patient selection for immunotherapy are urgently needed.MethodsWeighted gene coexpression network analysis (WGCNA) was used to identify hub genes related to gastric cancer progression. Based on the hub genes, the samples were divided into two subtypes by consensus clustering analysis. After obtaining the differentially expressed genes between the subtypes, a gastric cancer risk model was constructed through univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analysis. The differences in prognosis, clinical features, tumor microenvironment (TME) components and immune characteristics were compared between subtypes and risk groups, and the connectivity map (CMap) database was applied to identify potential treatments for high-risk patients.ResultsWGCNA and screening revealed nine hub genes closely related to gastric cancer progression. Unsupervised clustering according to hub gene expression grouped gastric cancer patients into two subtypes related to disease progression, and these patients showed significant differences in prognoses, TME immune and stromal scores, and suppressive immune checkpoint expression. Based on the different expression patterns between the subtypes, we constructed a gastric cancer risk model and divided patients into a high-risk group and a low-risk group based on the risk score. High-risk patients had a poorer prognosis, higher TME immune/stromal scores, higher inhibitory immune checkpoint expression, and more immune characteristics suitable for immunotherapy. Multivariate Cox regression analysis including the age, stage and risk score indicated that the risk score can be used as an independent prognostic factor for gastric cancer. On the basis of the risk score, we constructed a nomogram that relatively accurately predicts gastric cancer patient prognoses and screened potential drugs for high-risk patients.ConclusionsOur results suggest that the 7-gene signature related to tumor progression could predict the clinical prognosis and tumor immune characteristics of gastric cancer.

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 Timing of Angiography and Outcomes in High-Risk Patients With Non–ST-Segment–Elevation Myocardial Infarction Managed Invasively

Circulation ◽  
2017 ◽  
Vol 136 (20) ◽  
pp. 1895-1907 ◽  
Author(s):  
Pierre Deharo ◽  
Gregory Ducrocq ◽  
Christoph Bode ◽  
Marc Cohen ◽  
Thomas Cuisset ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
St Segment Elevation ◽  
High Risk Patients ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment ◽  
Risk Patients
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