Performance of AHEAD Score in an Asian Cohort of Acute Heart Failure With Either Preserved or Reduced Left Ventricular Systolic Function

Chen, Yu-Jen; Sung, Shih Hsien; Cheng, Hao Min; Huang, Wei; Wu, Chung Li; Huang, Chin Chou; Hsu, Powen; Yeh, Jong Shiuan; Guo, Chao-Yu; Yu, Wen Chung; Chen, Chen Huan

doi:10.1161/jaha.116.004297

Cited by 31 publications

(20 citation statements)

References 28 publications

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“…We showed that the GWTG‐HF risk score would be useful for prognostic prediction after hospitalization in both patients with HFpEF and patients with HFrEF. Although Chen et al reported that the AHEAD score was useful in predicting long‐term mortality in an Asian cohort with HFrEF or HFpEF,16 we could not indicate the preference of the GWTG‐HF risk score compared to the AHEAD score in this study. Moreover, we derived the modified GWTG‐HF model on the basis of the multivariable Cox proportional hazard regression analysis, and this model demonstrated significantly higher C‐statistics in both all‐cause deaths and cardiac events.…”

Section: Discussioncontrasting

confidence: 57%

“…Recently, several risk stratification scores using various parameters have been reported for the prediction of all‐cause mortality, sudden cardiac death, and cardiovascular events in patients with HF 9, 10, 11, 12, 13, 14, 15, 16. For example, the AHEAD (atrial fibrillation, hemoglobin, elderly, abnormal renal parameters, diabetes mellitus) score was established for long‐term risk prediction in acute HF 15.…”

Section: Introductionmentioning

confidence: 99%

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Clinical Significance of Get With the Guidelines–Heart Failure Risk Score in Patients With Chronic Heart Failure After Hospitalization

Suzuki

Yoshihisa

Sato

et al. 2018

JAHA

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BackgroundThe Get With the Guidelines–Heart Failure (GWTG‐HF) risk score was developed using American Heart Association GWTG‐HF program data and predicts in‐hospital mortality in patients with acute heart failure (HF). We aimed to clarify the prognostic impacts of the GWTG‐HF risk score in patients with HF after discharge.Methods and ResultsWe examined the GWTG‐HF score in 1452 patients with HF, who were admitted to our hospital and discharged after treatment, by calculating 7 predetermined variables. We divided all subjects into 3 groups according to the GWTG‐HF risk score (low, moderate, and high score groups). The plasma B‐type natriuretic peptide level significantly increased with increasing GWTG‐HF risk score severity (median values of B‐type natriuretic peptide: 167.0 in low, 260.7 in moderate, and 418.2 pg/mL in high score groups). We followed up all subjects after discharge, and there were 347 (23.9%) all‐cause deaths and 407 (28.0%) cardiac events in follow‐up periods. A Kaplan‐Meier survival curve demonstrated that event rates of all‐cause death and cardiovascular events, including worsening HF and cardiac death, significantly increased with increasing GWTG‐HF risk score severity in all subjects, and also in 749 patients with HF with preserved ejection fraction (ejection fraction ≥50%) and 703 patients with HF with reduced ejection fraction (ejection fraction <50%) patients. The multivariable Cox proportional hazard regression analysis demonstrated that the GWTG‐HF risk score was one of the significant predictors of all‐cause mortality and cardiac events (all‐cause mortality: hazard ratio, 1.537, 95% confidence interval, 1.172–2.023; cardiac events: hazard ratio, 1.584, 95% confidence interval, 1.344–1.860, per 10‐point increase of GWTG‐HF score).ConclusionsThe GWTG‐HF risk score is a useful multivariable score model for several years after hospitalization in patients with HF in a Japanese population.

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Section: Discussioncontrasting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Clinical Significance of Get With the Guidelines–Heart Failure Risk Score in Patients With Chronic Heart Failure After Hospitalization

Suzuki

Yoshihisa

Sato

et al. 2018

JAHA

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“…15,16 The discrimination and calibration of these risk scores have been well validated in Asian patients with AHF. 17,18 Therefore, the GWTG-HF risk score and AHEAD score were used as adjustment variables in the multivariable prognostic model. Survival was evaluated using the Kaplan-Meier method and compared using the log-rank test.…”

Section: Discussionmentioning

confidence: 99%

Short-Term Change in Gait Speed and Clinical Outcomes in Older Patients With Acute Heart Failure

Tanaka

Hamazaki

Matsuzawa

et al. 2019

Circ J

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Background: Evidence for the prognostic value of gait speed is largely based on a single measure at baseline, so we investigated the prognostic significance of change in gait speed in hospitalized older acute heart failure (AHF) patients. Methods and Results: This retrospective study was performed in a cohort of 388 AHF patients ≥60 years old (mean age: 74.8±7.8 years, 228 men). Routine geriatric assessment included gait speed measurement at baseline and at discharge. The primary outcome of this study was all-cause death. Gait speed increased from 0.74±0.25 m/s to 0.98±0.27 m/s after 13.5±11.0 days. Older age, shorter height and lower hemoglobin level at admission, prior HF admission, and higher baseline gait speed were independently associated with lesser improvement in gait speed. A total of 80 patients died and 137 patients were readmitted for HF over a mean follow-up period of 2.1±1.9 years. In multivariate analyses, change in gait speed showed inverse associations with all-cause death (hazard ratio [HR] per 0.1 m/s increase: 0.83; 95% confidence interval [CI]: 0.73 to 0.95; P=0.006) and with risk of readmission for HF (HR: 0.91; 95% CI: 0.83 to 0.99; P=0.036). Conclusions: Short-term improvement in gait speed during hospitalization was associated with reduced risks of death and readmission for HF in older patients with AHF.

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“…Additionally, echocardiographic variables including LVEF, left atrial diameter (LAD), mitral early diastolic inflow velocity (E), mitral late diastolic inflow velocity (A), mitral annular early diastolic velocity (e 0 ), and deceleration time of mitral early diastolic inflow (DCT) were measured. The AHEAD score was used for risk assessment and was calculated by assigning one point to each of the following factors: A: atrial fibrillation, H: haemoglobin <13 g/dL for men and 12 g/dL for women, Elderly (age > 70 years), A: abnormal renal parameters (creatinine > 130 μmol/dL) and D: diabetes mellitus [20].…”

Section: Patient Characteristicsmentioning

confidence: 99%

Prevalence and prognosis of respiratory muscle weakness in heart failure patients with preserved ejection fraction

Hamazaki

Kamiya

Matsuzawa

et al. 2020

Respiratory Medicine

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Performance of AHEAD Score in an Asian Cohort of Acute Heart Failure With Either Preserved or Reduced Left Ventricular Systolic Function

Cited by 31 publications

References 28 publications

Clinical Significance of Get With the Guidelines–Heart Failure Risk Score in Patients With Chronic Heart Failure After Hospitalization

Clinical Significance of Get With the Guidelines–Heart Failure Risk Score in Patients With Chronic Heart Failure After Hospitalization

Short-Term Change in Gait Speed and Clinical Outcomes in Older Patients With Acute Heart Failure

Prevalence and prognosis of respiratory muscle weakness in heart failure patients with preserved ejection fraction

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