External Validation of the MEESSI Acute Heart Failure Risk Score

2019 ◽  
Vol 170 (4) ◽  
pp. 248 ◽  
Author(s):  
Desiree Wussler ◽  
Nikola Kozhuharov ◽  
Zaid Sabti ◽  
Joan Walter ◽  
Ivo Strebel ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Risk Score ◽  
External Validation ◽  
Failure Risk

Creation and validation of the acute heart failure risk score: AHFRS

2016 ◽  
Vol 12 (8) ◽  
pp. 1197-1206 ◽  
Author(s):  
Susana Garcia-Gutierrez ◽  
◽  
José Maria Quintana ◽  
Ane Antón-Ladislao ◽  
Maria Soledad Gallardo ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Risk Score ◽  
Failure Risk

Validation of the Larissa Heart Failure Risk Score for risk stratification in acute heart failure

2020 ◽  
Vol 307 ◽  
pp. 119-124 ◽  
Author(s):  
Takeshi Kitai ◽  
Andrew Xanthopoulos ◽  
W.H. Wilson Tang ◽  
Shuichiro Kaji ◽  
Yutaka Furukawa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Risk Stratification ◽  
Acute Heart Failure ◽  
Risk Score ◽  
Failure Risk

scholarly journals PERFORMANCE OF THE MAGGIC HEART FAILURE RISK SCORE IN JAPANESE ACUTE HEART FAILURE PATIENTS: A REPORT FROM THE WEST TOKYO HEART FAILURE REGISTRY

2017 ◽  
Vol 69 (11) ◽  
pp. 947
Author(s):  
Mitsuaki Sawano ◽  
Taku Inohara ◽  
Yasuyuki Shiraishi ◽  
Shun Kohsaka ◽  
Takashi Kohno ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Risk Score ◽  
The West ◽  
Heart Failure Patients ◽  
Failure Risk

scholarly journals Validation of the Larissa Heart Failure Risk Score in the Registry Focused on Very Early Presentation and Treatment in Emergency Department of Acute Heart Failure (REALITY-AHF)

2019 ◽  
Vol 25 (8) ◽  
pp. S144
Author(s):  
Takeshi Kitai ◽  
Andrew Xanthopoulos ◽  
W.H.Wilson Tang ◽  
John Skoularigis ◽  
Filippos Triposkiadis ◽  
...  
Keyword(s):  
Heart Failure ◽  
Emergency Department ◽  
Acute Heart Failure ◽  
Risk Score ◽  
Early Presentation ◽  
Failure Risk

P3437External validation of the MEESSI acute heart failure risk score

2018 ◽  
Vol 39 (suppl_1) ◽  
Author(s):  
D Wussler ◽  
J Walter ◽  
J Du Fay Lavallaz ◽  
Z Sabti ◽  
N Kozhuharov ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Risk Score ◽  
Failure Risk

External validation of a heart failure risk prediction model in a remote monitoring cohort submitted to cardiac resynchronization therapy

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
I Cardoso ◽  
M Coutinho ◽  
G Portugal ◽  
A Valentim ◽  
A.S Delgado ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
High Risk ◽  
Remote Monitoring ◽  
Hospital Admissions ◽  
External Validation ◽  
Left Ventricular Ejection ◽  
National Database ◽  
Failure Risk

Abstract Background Patients (P) submitted to cardiac ressynchronization therapy (CRT) are at high risk of heart failure (HF) events during follow-up. Continuous analysis of various physiological parameters, as reported by remote monitoring (RM), can contribute to point out incident HF admissions. Tailored evaluation, including multi-parameter modelling, may further increase the accuracy of such algorithms. Purpose Independent external validation of a commercially available algorithm (“Heart Failure Risk Status” HFRS, Medtronic, MN USA) in a cohort submitted to CRT implantation in a tertiary center. Methods Consecutive P submitted to CRT implantation between January 2013 and September 2019 who had regular RM transmissions were included. The HFRS algorithm includes OptiVol (Medtronic Plc., MN, USA), patient activity, night heart rate (NHR), heart rate variability (HRV), percentage of CRT pacing, atrial tachycardia/atrial fibrillation (AT/AF) burden, ventricular rate during AT/AF (VRAF), and detected arrhythmia episodes/therapy delivered. P were classified as low, medium or high risk. Hospital admissions were systematically assessed by use of a national database (“Plataforma de Dados de Saúde”). Accuracy of the HFRS algorithm was evaluated by random effects logistic regression for the outcome of unplanned hospital admission for HF in the 30 days following each transmission episode. Results 1108 transmissions of 35 CRT P, corresponding to 94 patient-years were assessed. Mean follow-up was 2.7 yrs. At implant, age was 67.6±9.8 yrs, left ventricular ejection fraction 28±7.8%, BNP 156.6±292.8 and NYHA class >II in 46% of the P. Hospital admissions for HF were observed within 30 days in 9 transmissions. Stepwise increase in HFRS was significantly associated with higher risk of HF admission (odds ratio 12.7, CI 3.2–51.5). HFRS had good discrimination for HF events with receiving-operator curve AUC 0.812. Conclusions HFRS was significantly associated with incident HF admissions in a high-risk cohort. Prospective use of this algorithm may help guide HF therapy in CRT recipients. Funding Acknowledgement Type of funding source: None

scholarly journals External assessment of the EUROMACS right-sided heart failure risk score

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hirak Shah ◽  
Thomas Murray ◽  
Jessica Schultz ◽  
Ranjit John ◽  
Cindy M. Martin ◽  
...  
Keyword(s):  
Heart Failure ◽  
Right Ventricular ◽  
Risk Score ◽  
Pressure Ratio ◽  
Area Under The Curve ◽  
Left Ventricular ◽  
Right Atrial ◽  
Risk Scores ◽  
External Assessment ◽  
Failure Risk

AbstractThe EUROMACS Right-Sided Heart Failure Risk Score was developed to predict right ventricular failure (RVF) after left ventricular assist device (LVAD) placement. The predictive ability of the EUROMACS score has not been tested in other cohorts. We performed a single center analysis of a continuous-flow (CF) LVAD cohort (n = 254) where we calculated EUROMACS risk scores and assessed for right ventricular heart failure after LVAD implantation. Thirty-nine percent of patients (100/254) had post-operative RVF, of which 9% (23/254) required prolonged inotropic support and 5% (12/254) required RVAD placement. For patients who developed RVF after LVAD implantation, there was a 45% increase in the hazards of death on LVAD support (HR 1.45, 95% CI 0.98–2.2, p = 0.066). Two variables in the EUROMACS score (Hemoglobin and Right Atrial Pressure to Pulmonary Capillary Wedge Pressure ratio) were not predictive of RVF in our cohort. Overall, the EUROMACS score had poor external discrimination in our cohort with area under the curve of 58% (95% CI 52–66%). Further work is necessary to enhance our ability to predict RVF after LVAD implantation.

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