Risk factors and prediction models for incident heart failure with reduced and preserved ejection fraction.
Risk factors and prediction models for incident heart failure with reduced and preserved ejection fraction.
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DOI：
10.1002/ehf2.13429
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发表时间：
2021-12
影响因子：
3.8
通讯作者：
Joseph J
中科院分区：
文献类型：
--
作者：
Gaziano L;Cho K;Djousse L;Schubert P;Galloway A;Ho YL;Kurgansky K;Gagnon DR;Russo JP;Di Angelantonio E;Wood AM;Danesh J;Gaziano JM;Butterworth AS;Wilson PWF;Joseph J
This study aims to develop the first race‐specific and sex‐specific risk prediction models for heart failure with preserved (HFpEF) and reduced ejection fraction (HFrEF). We created a cohort of 1.8 million individuals who had an outpatient clinic visit between 2002 and 2007 within the Veterans Affairs (VA) Healthcare System and obtained information on HFpEF, HFrEF, and several risk factors from electronic health records (EHR). Variables were selected for the risk prediction models in a ‘derivation cohort’ that consisted of individuals with baseline date in 2002, 2003, or 2004 using a forward stepwise selection based on a change in C‐index threshold. Discrimination and calibration were assessed in the remaining participants (internal ‘validation cohort’). A total of 66 831 individuals developed HFpEF, and 92 233 developed HFrEF (52 679 and 71 463 in the derivation cohort) over a median of 11.1 years of follow‐up. The HFpEF risk prediction model included age, diabetes, BMI, COPD, previous MI, antihypertensive treatment, SBP, smoking status, atrial fibrillation, and estimated glomerular filtration rate (eGFR), while the HFrEF model additionally included previous CAD. For the HFpEF model, C‐indices were 0.74 (SE = 0.002) for white men, 0.76 (0.005) for black men, 0.79 (0.015) for white women, and 0.77 (0.026) for black women, compared with 0.72 (0.002), 0.72 (0.004), 0.77 (0.017), and 0.75 (0.028), respectively, for the HFrEF model. These risk prediction models were generally well calibrated in each race‐specific and sex‐specific stratum of the validation cohort. Our race‐specific and sex‐specific risk prediction models, which used easily obtainable clinical variables, can be a useful tool to implement preventive strategies or subtype‐specific prevention trials in the nine million users of the VA healthcare system and the general population after external validation.
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DOI：
10.1056/nejmoa1114248
发表时间：
2012-07-05
期刊：
The New England journal of medicine
影响因子：
--
作者：
Inker LA;Schmid CH;Tighiouart H;Eckfeldt JH;Feldman HI;Greene T;Kusek JW;Manzi J;Van Lente F;Zhang YL;Coresh J;Levey AS;CKD-EPI Investigators
通讯作者：
CKD-EPI Investigators
DOI：
10.1161/circheartfailure.112.972828
发表时间：
2013-03
期刊：
Circulation. Heart failure
影响因子：
--
作者：
Ho JE;Lyass A;Lee DS;Vasan RS;Kannel WB;Larson MG;Levy D
通讯作者：
Levy D
通过保留和减少的射血分数来预测心力衰竭：心力衰竭亚型的国际合作。
DOI：
10.1161/circheartfailure.115.003116
发表时间：
2016-06
期刊：
Circulation. Heart failure
影响因子：
--
作者：
Ho JE;Enserro D;Brouwers FP;Kizer JR;Shah SJ;Psaty BM;Bartz TM;Santhanakrishnan R;Lee DS;Chan C;Liu K;Blaha MJ;Hillege HL;van der Harst P;van Gilst WH;Kop WJ;Gansevoort RT;Vasan RS;Gardin JM;Levy D;Gottdiener JS;de Boer RA;Larson MG
通讯作者：
Larson MG
DOI：
10.1161/hhf.0b013e318291329a
发表时间：
2013-05
期刊：
Circulation. Heart failure
影响因子：
--
作者：
Heidenreich PA;Albert NM;Allen LA;Bluemke DA;Butler J;Fonarow GC;Ikonomidis JS;Khavjou O;Konstam MA;Maddox TM;Nichol G;Pham M;Piña IL;Trogdon JG;American Heart Association Advocacy Coordinating Committee;Council on Arteriosclerosis, Thrombosis and Vascular Biology;Council on Cardiovascular Radiology and Intervention;Council on Clinical Cardiology;Council on Epidemiology and Prevention;Stroke Council
通讯作者：
Stroke Council
影响因子：
168.9
作者：
Flather, MD;Yusuf, S;Braunwald, E
通讯作者：
Braunwald, E