scholarly journals GLOBAL CARDIOVASCULAR RISK ASSESSMENT IMPROVES RISK STRATIFICATION FOR MAJOR ADVERSE CARDIAC EVENTS ACROSS A WIDE RANGE OF TRIGLYCERIDE LEVELS IN STATIN-TREATED INDIVIDUALS: INSIGHTS FROM THE KP REACH STUDY

2021 ◽  
Vol 77 (18) ◽  
pp. 1561
Author(s):  
Andrew P. Ambrosy ◽  
Jingrong Yang ◽  
Jesse Fitzpatrick ◽  
Jeffrey Wagner ◽  
Jeremy Kong ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Cardiovascular Risk ◽  
Risk Stratification ◽  
Major Adverse Cardiac Events ◽  
Cardiovascular Risk Assessment ◽  
Cardiac Events ◽  
Global Cardiovascular Risk ◽  
Adverse Cardiac Events ◽  
Wide Range

scholarly journals Comparing the Predictive Power of Preoperative Risk Assessment Tools to Best Predict Major Adverse Cardiac Events in Kidney Transplant Patients

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Colin P. Dunn ◽  
Emmanuel U. Emeasoba ◽  
Ari J. Holtzman ◽  
Michael Hung ◽  
Joshua Kaminetsky ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Assessment Tools ◽  
Major Adverse Cardiac Events ◽  
Receiver Operator Curve ◽  
Cardiac Events ◽  
Preoperative Risk ◽  
Preoperative Risk Assessment ◽  
Transplant Patients ◽  
Adverse Cardiac Events ◽  
Operator Curve

Background. Patients undergoing kidney transplantation have increased risk of adverse cardiovascular events due to histories of hypertension, end-stage renal disease, and dialysis. As such, they are especially in need of accurate preoperative risk assessment. Methods. We compared three different risk assessment models for their ability to predict major adverse cardiac events at 30 days and 1 year after transplant. These were the PORT model, the RCRI model, and the Gupta model. We used a method based on generalized U-statistics to determine statistically significant improvements in the area under the receiver operator curve (AUC), based on a common major adverse cardiac event (MACE) definition. For the top-performing model, we added new covariates into multivariable logistic regression in an attempt to create further improvement in the AUC. Results. The AUCs for MACE at 30 days and 1 year were 0.645 and 0.650 (PORT), 0.633 and 0.661 (RCRI), and finally 0.489 and 0.557 (Gupta), respectively. The PORT model performed significantly better than the Gupta model at 1 year (p=0.039). When the sensitivity was set to 95%, PORT had a significantly higher specificity of 0.227 compared to RCRI’s 0.071 (p=0.009) and Gupta’s 0.08 (p=0.017). Our additional covariates increased the receiver operator curve from 0.664 to 0.703, but this did not reach statistical significance (p=0.278). Conclusions. Of the three calculators, PORT performed best when the sensitivity was set at a clinically relevant level. This is likely due to the unique variables the PORT model uses, which are specific to transplant patients.

scholarly journals P238 RA and multimorbidity in UK Biobank: association with all-cause mortality and major adverse cardiac events

Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Barbara Nicholl ◽  
Ross McQueenie ◽  
Bhautesh Jani ◽  
Sara Macdonald ◽  
Colin McCowan ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Major Adverse Cardiac Events ◽  
Uk Biobank ◽  
Cardiac Events ◽  
Long Term Conditions ◽  
Increased Risk ◽  
Adverse Cardiac Events ◽  
Wide Range ◽  
All Cause Mortality

Abstract Background Multimorbidity, the presence of ≥ 2 long-term conditions (LTCs) is common in people with rheumatoid arthritis (RA). However, most research in RA has focused on cardiovascular disease and depression as co-occurring morbidities, rather than multiple LTCs or a wide range of conditions. This study hypothesised that risk of all-cause mortality and major adverse cardiac events (MACE) would be greater in those with RA and ≥2 LTCs than those with RA only. Further, we explored which individual LTCs were associated with increased risk of mortality and MACE. Methods Data from UK Biobank, a cohort of over 500,000 adults aged 37-73 years across England, Scotland and Wales was analysed. RA and 42 other LTCs of interest were self-reported by participants in a questionnaire and nurse-led interview. Information on sociodemographic (age, gender, socioeconomic status) and lifestyle factors (smoking status, BMI, alcohol frequency, physical activity) were also gathered. Rheumatoid factor levels were also determined. MACE and mortality were classified using linked hospitalisations and mortality register data (median follow up time 9 years). Data were analysed using age-adjusted Cox’s proportional hazard modelling to calculate risk of all-cause mortality or MACE, adjusted for variables listed above. Predictor variable: no RA no LTCs (reference group), only RA, RA + 1-3LTCs, RA + ≥4LTCs. Finally, the relationship between comorbidity with individual LTCs (of the 42 studied) and both health outcomes was considered. Results 5,658 (1.1%) of participants in UK Biobank self-reported RA (69.8% female, mean age 59 years). 74.7% of participants reported at least one LTC in addition to RA (1-3 LTCs 64.3%, ≥4 LTCs 10.4%), compared to 63.8% of participants without RA. 7.7% (N = 437) of participants with RA died and 5.9% (n = 331) had MACE events during the follow-up period. There was a dose response relationship in RA between LTC category and all-cause mortality and MACE risk. Only RA: mortality HR 1.42, 95% CI 1.08, 1.87, MACE HR 1.61 95% CI 1.20, 2.18; RA + 1-3LTCs: mortality HR 1.99 95% CI 1.74, 2.27, MACE HR 1.89, 95% CI 1.61, 2.20; RA + ≥4LTCs: mortality HR 3.34, 95% CI 2.64, 4.22; MACE HR 3.45, 95% CI 2.66, 4.49) compared to those with no RA no LTCs (results presented from fully adjusted models). Of the 42 individual LTCs considered, comorbid osteoporosis was the most concerning; participants with both RA and osteoporosis had a two-fold increased risk of all-cause mortality (HR 2.20, 95% CI 1.55, 3.12) and three-fold increased risk of MACE outcomes (HR 3.17, 95% CI 2.17, 4.64) compared to those with neither condition. Conclusion Participants with RA and multimorbidity or comorbidity, particularly osteoporosis, are at increased risk of adverse health outcomes. These results have important clinical relevance for the monitoring and optimal management of RA across the healthcare system. Disclosures B. Nicholl None. R. McQueenie None. B. Jani None. S. Macdonald None. C. McCowan None. J. Canning None. F. Mair None. S. Siebert None.

Referral decisions based on a prehospital HEART score in suspected non-ST-elevation acute coronary syndrome: design of the FamouS Triage 3 study

2020 ◽  
Vol 16 (4) ◽  
pp. 217-226
Author(s):  
Dominique N van Dongen ◽  
Rudolf T Tolsma ◽  
Marion J Fokkert ◽  
Erik A Badings ◽  
Aize van der Sluis ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Risk Stratification ◽  
Major Adverse Cardiac Events ◽  
Cardiac Events ◽  
Heart Score ◽  
Coronary Syndrome ◽  
Referral Decisions ◽  
Adverse Cardiac Events ◽  
St Elevation ◽  
Elevation Acute Coronary Syndrome

Background: It is not yet investigated whether referral decisions based on prehospital risk stratification of non-ST-elevation Acute Coronary Syndrome (NSTE-ACS) by the complete History, ECG, Age, Risk factors and initial Troponin (HEART) score are feasible and safe. Hypothesis: Implementation of referral decisions based on the prehospital acquired HEART score in patients with suspected NSTE-ACS is feasible and not inferior to routine management in the occurrence of major adverse cardiac events within 45 days. Study design & methods: FamouS Triage 3 is a feasibility study with a before–after sequential design. The aim is to assess whether prehospital HEART-score management including point-of-care troponin measurement is feasible and noninferior to routine management. Primary end point is the occurrence of major adverse cardiac events within 45 days. Conclusion: If referral decisions based on prehospital acquired risk stratification are feasible and noninferior this can become the new prehospital management in suspected NSTE-ACS.

Влияние величины локальной продольной систолической деформации миокарда левого желудочка на риск возникновения сердечно-сосудистых осложнений после острого коронарного синдрома

2019 ◽  
pp. 60-69
Keyword(s):  
Acute Coronary Syndrome ◽  
Cardiovascular Risk ◽  
Longitudinal Strain ◽  
Major Adverse Cardiac Events ◽  
Cardiac Events ◽  
Survival Curves ◽  
Coronary Syndrome ◽  
Kaplan Meier ◽  
Adverse Cardiac Events

Целью исследования было изучение влияния величины локальной продольной систолической деформации миокарда левого желудочка на риск возникновения сердечно-сосудистых осложнений после острого коронарного синдрома. Обследовано 146 больных с верифицированным острым коронарным синдромом, которые были разделены на две группы. Критерием разделения на группы было появление большого кардиоваскулярного события (major adverse cardiac events (MACE)) на протяжении периода наблюдения после выписки больного из стационара. 1-ю группу составили 45 больных с осложненным течением ишемической болезни сердца, 2-ю группу - 101 больной с неосложненным течением. Медиана срока наблюдения составила 47 мес, 25-75-й процентили - 32-60 мес. Измерение продольной систолической деформации передне-перегородочной, нижней и нижне-перегородочной стенок левого желудочка проводилось в апикальных сечениях методом двухмерного отслеживания пятен серой шкалы ультразвукового изображения. Анализ выживаемости больных по методу Каплана-Майера показал, что при использовании исходных показателей деформации средних сегментов нижней и нижне-перегородочной стенок левого желудочка можно на протяжении 5 лет после перенесенного острого коронарного синдрома оценивать риск сердечно-сосудистых осложнений (P = 0,01 и P = 0,002 соответственно). При снижении величины продольной систолической деформации нижней и нижне-перегородочной стенок менее 14% вероятность осложненного течения ИБС у больных через 5 лет после острого коронарного синдрома увеличивается на более 20 и 30% соответственно. Таким обра зом, среди исследуемых пациентов с острым коронарным синдромом сниженная величина продольной систолической деформации среднего сегмента нижней и нижне-перегородочной стенок левого желудочка (14%) является неблагоприятным фактором, свидетельствующим о повышенном риске сердечно-сосудистых осложнений на протяжении длительного периода наблюдения. Ключевые слова: ультразвуковое исследование сердца (эхокардиография), острый коронарный синдром, продольная деформация, сердечно-сосудистый риск, кривые выживаемости Каплана-Майера, echocardiography, acute coronary syndrome, longitudinal strain, cardiovascular risk, Kaplan Meier survival curves

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