scholarly journals P1824Prognostic impact of AHEAD risk score in patients with acute decompensated heart failure: a prospective comparative study with the age-adjusted Charlson comorbidity index

2018 ◽  
Vol 39 (suppl_1) ◽  
Author(s):  
K Kayama ◽  
T Yamada ◽  
T Morita ◽  
Y Furukawa ◽  
S Tamaki ◽  
...  
Keyword(s):  
Heart Failure ◽  
Comparative Study ◽  
Risk Score ◽  
Charlson Comorbidity Index ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
Prospective Comparative Study ◽  
Comorbidity Index

scholarly journals Impact of comorbidity on the predictive value of cystatin-C in patients admitted for acute decompensated heart failure: insights from a prospective study

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Kayama ◽  
T Yamada ◽  
T Watanabe ◽  
T Morita ◽  
Y Furukawa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cystatin C ◽  
Charlson Comorbidity Index ◽  
Prognostic Value ◽  
Roc Analysis ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
Heart Failure Patients ◽  
Comorbidity Index ◽  
The Impact

Abstract Background Comorbidities are strongly associated with poor clinical outcome in heart failure patients. The Age-adjusted Charlson comorbidity index (ACCI), which is well-known widely used comorbidity index, recently has been used as a robust prognostic model in heart failure patients. On the other hand, Cystatin C, as a novel and important biomarker of renal function, has been recently reported as a useful long-term risk stratification score in heart failure patients. However, there is no information available on the impact of comorbidities on the prognostic value of cystatin-C in patients admitted for acute decompensated heart failure (ADHF). Methods We prospectively studied 458 consecutive ADHF patients with survival discharge. Patients with hemodialysis were excluded. Echocardiography and venous blood sampling were performed just before discharge and serum cystatin-C level was measured. Comorbidity was measured with the Age-adjusted Charlson comorbidity index (ACCI). ACCI was commonly used for the evaluation of the comorbid condition which is weighted and scored, with additional points added for age. The endpoint was all-cause death (ACD). Results During a follow-up period of 2.8±1.5 years, 132 patients had ACD. At multivariate Cox analysis, ACCI (p=0.0015) and cystatin-C level (p=0.0145) were significantly and independently associated with ACD. Patients with high ACCI (≥6: determined by ROC analysis) had a significantly greater risk of ACD (37.2% vs 17.8%, p<0.0001, HR 2.45 [1.61–3.70]). In the subgroup of higher ACCI, patients with higher cystatin-C level (≥1.56: determined by ROC analysis) had a significantly higher risk of ACD (50.3% vs 23.4%). Furthermore, in the subgroup of lower ACCI, patients with higher cystatin-C level had also significantly higher risk of ACD (34.2% vs 12.1%). Conclusions The prognostic value of cystatin-C is not affected by comorbidities and cystatin-C provide prognostic information even in patients admitted for ADHF, irrespective of comorbid burden. All-cause death-free rate in ADHF pts Funding Acknowledgement Type of funding source: None

Comparative prognostic impact of ACCI and AHEAD risk score in heart failure with reduced, mid-range and preserved left ventricular ejection fraction admitted for acute decompensated heart failure

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Kayama ◽  
T Yamada ◽  
T Watanabe ◽  
T Morita ◽  
Y Furukawa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Risk Score ◽  
Prognostic Value ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
Comorbidity Index ◽  
Independent Association ◽  
Cox Analysis ◽  
Ahead Score

Abstract Background Comorbidities are strongly associated with poor clinical outcome in heart failure patients (pts). The Age-adjusted Charlson comorbidity index (ACCI), which is well-known widely used comorbidity index, recently has been used as a robust prognostic model in heart failure pts. On the other hand, AHEAD risk score has been recently reported as a useful long-term risk stratification score in acute decompensated heart failure (ADHF) pts. Recently, a new group of heart failure pts with mid-range ejection fraction (HFmrEF) has been defined, separated from reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF). We sought to compare the prognostic value of ACCI and AHEAD score in ADHF pts, relating to HFrEF, HFmrEF and HFpEF. Methods We prospectively studied 410 consecutive ADHF pts (HFrEF [n=143], HFmrEF [n=99] and HFpEF [n=168]) with survival discharge. ACCI contains 19 issues which was weighted according to their potential influence on mortality. AHEAD risk score is a simple index, which is range 0–5; atrial fibrillation, hemoglobin <13 mg/dL for men and 12 mg/dL for women, age >70 years, creatinine >130 μmol/L, and diabetes mellitus. The endpoint of this study was all cause death (ACD). Results During a follow-up period of 2.4±1.4 years, 119 pts had ACD (42, 29 and 48 pts in HFrEF, HFmrEF and HFpEF, respectively). At univariate Cox analysis, ACCI and AHEAD risk score were significantly associated with ACD in each subgroup. At multivariate Cox analysis, in HFrEF pts, ACCI, but not AHEAD risk score, showed the significant and independent association with ACD. In HFmrEF, both ACCI and AHEAD risk score was significantly and independently associated with ACD and ROC analysis showed AUC of ACCI was greater than that of AHEAD risk score (0.778 [0.683–0.855] vs 0.637 [0.572–0.764], p=0.07). On the other hand, in HFpEF pts, AHEAD risk score, but not ACCI, showed the significant and independent association ACD. Conclusion ACCI provides more prognostic value in HFrEF pts, and AHEAD risk score has more prognostic value in HFpEF pts. In HFmrEF pts, both ACCI and AHEAD score might have prognostic values, although ACCI tends to be more associated with ACD than AHEAD score. Funding Acknowledgement Type of funding source: None

Abstract 13677: Usefulness of 2-year Iodine-123 Metaiodobenzylguanidine-based Risk Model for the Post-discharge Risk Stratification in Acute Decompensated Heart Failure Patients With Preserved Left Ventricular Ejection Fraction

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Shunsuke Tamaki ◽  
Takahisa Yamada ◽  
Tetsuya Watanabe ◽  
Takashi Morita ◽  
Yoshio Furukawa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Risk Score ◽  
Mortality Risk ◽  
Risk Model ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
Cardiac Mortality ◽  
Post Discharge ◽  
Patients With Heart Failure ◽  
Iodine 123

Background: A four-parameter risk model including cardiac iodine-123 metaiodobenzylguanidine (MIBG) imaging and readily available clinical parameters has been recently developed for the prediction of 2-year cardiac mortality risk in patients with chronic heart failure (CHF) using a Japanese CHF database consisting of 1322 patients. However, there is no information available on the usefulness of 2-year MIBG-based cardiac mortality risk score for the prediction of post-discharge prognosis in patients with heart failure with preserved LVEF (HFpEF) who are admitted with acute decompensated heart failure (ADHF). Methods and Results: Patients' data were extracted from The Prospective mUlticenteR obServational stUdy of patIenTs with Heart Failure with Preserved Ejection Fraction (PURSUIT-HFpEF) study, which is a prospective multicenter observational registry for ADHF patients with LVEF ≥50% in Osaka. We studied 239 patients who survived to discharge. Cardiac MIBG imaging was performed just before discharge. The 2-year cardiac mortality risk score was calculated using four parameters, including age, LVEF, NYHA functional class, and the cardiac MIBG heart-to-mediastinum ratio on delayed image. The patients were stratified into three groups based on the 2-year cardiac mortality risk score: low- (<4%), intermediate- (4-12%), and high-risk (>12%) groups. The endpoint was all-cause death. During a follow-up period of 1.6±0.8 years, 33 patients had all-cause death. Multivariate Cox analysis showed that 2-year MIBG-based cardiac mortality risk score was an independent predictor of all-cause death (p=0.0009). There was significant difference in the rate of all-cause death among the three groups stratified by 2-year cardiac mortality risk score (Figure). Conclusions: In this multicenter study, the 2-year MIBG-based cardiac mortality risk score was shown to be useful for the prediction of post-discharge clinical outcome in HFpEF patients admitted for ADHF.

P762Usefulness of 2-year iodine-123 metaiodobenzylguanidine-based risk model for the post-discharge risk stratification in patients with acute decompensated heart failure

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Tamaki ◽  
T Yamada ◽  
T Morita ◽  
Y Furukawa ◽  
Y Iwasaki ◽  
...  
Keyword(s):  
Heart Failure ◽  
Risk Score ◽  
Mortality Risk ◽  
Risk Group ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
Risk Scores ◽  
Mibg Imaging ◽  
Cardiac Mortality ◽  
Post Discharge

Abstract Background A four-parameter risk model including cardiac iodine-123 metaiodobenzylguanidine (MIBG) imaging and readily available clinical parameters has been recently developed for the prediction of 2-year cardiac mortality risk in patients with chronic heart failure (CHF) using a Japanese CHF database consisting of 1322 patients. On the other hand, the Acute Decompensated Heart Failure National Registry (ADHERE) and Get With The Guidelines-Heart Failure (GWTG-HF) risk scores, simple tools to predict risk of in-hospital mortality, have been reported to be predictive of post-discharge outcome in patients with acute decompensated heart failure (ADHF). However, there is no information available on the usefulness of 2-year MIBG-based cardiac mortality risk score for the prediction of post-discharge prognosis in ADHF patients and its comparison with the ADHERE and GWTG-HF risk scores. Purpose We sought to validate the predictability of the 2-year MIBG-based cardiac mortality risk score for post-discharge clinical outcome in ADHF patients, and to compare its prognostic value with those of ADHERE and GWTG-HF risk scores. Methods We studied 297 consecutive patients who were admitted for ADHF, survived to discharge, and had definitive 2-year outcomes. Venous blood sampling was performed on admission, and echocardiography and cardiac MIBG imaging were performed just before discharge. In cardiac MIBG imaging, the cardiac MIBG heart-to-mediastinum ratio (HMR) was measured from the chest anterior view images obtained at 20 and 200 min after isotope injection. The 2-year cardiac mortality risk score was calculated using four parameters, including age, left ventricular ejection fraction, NYHA functional class, and HMR on delayed image. The patients were stratified into three groups based on the 2-year cardiac mortality risk score: low- (<4%), intermediate- (4–12%), and high-risk (>12%) groups. The ADHERE and GWTG-HF risk scores were also calculated from admission data as previously reported. The predictive ability of the scores was compared using receiver operating characteristic curve analysis. The endpoint was a composite of all-cause mortality and unplanned hospitalization for worsening heart failure. Results During a follow-up period, 110 patients reached the primary endpoint. There was significant difference in the rate of primary endpoint among the three groups stratified by 2-year cardiac mortality risk score (low-risk group: 18%, intermediate-risk group: 36%, high-risk group: 64%, Figure 1A). The 2-year cardiac mortality risk score demonstrated a greater area under the curve for the primary endpoint compared to the ADHERE and the GWTG-HF risk scores (Figure 1B). Figure 1 Conclusions The 2-year MIBG-based cardiac mortality risk score is also useful for the prediction of post-discharge clinical outcome in ADHF patients, and its prognostic value is superior to those of the ADHERE and the GWTG-HF risk scores.

scholarly journals Simple Risk Score to Predict Survival in Acute Decompensated Heart Failure　― A2B Score ―

2019 ◽  
Vol 83 (5) ◽  
pp. 1019-1024 ◽  
Author(s):  
Yasuki Nakada ◽  
Rika Kawakami ◽  
Shouji Matsushima ◽  
Tomomi Ide ◽  
Koshiro Kanaoka ◽  
...  
Keyword(s):  
Heart Failure ◽  
Risk Score ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure
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