scholarly journals External validation of a claims-based model to predict left ventricular ejection fraction class in patients with heart failure

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252903
Author(s):  
Mufaddal Mahesri ◽  
Kristyn Chin ◽  
Abheenava Kumar ◽  
Aditya Barve ◽  
Rachel Studer ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
External Validation ◽  
Model Performance ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Administrative Claims ◽  
Validation Sample ◽  
Ventricular Ejection Fraction ◽  
Medicare Claims

Background Ejection fraction (EF) is an important prognostic factor in heart failure (HF), but administrative claims databases lack information on EF. We previously developed a model to predict EF class from Medicare claims. Here, we evaluated the performance of this model in an external validation sample of commercial insurance enrollees. Methods Truven MarketScan claims linked to electronic medical records (EMR) data (IBM Explorys) containing EF measurements were used to identify a cohort of US patients with HF between 01-01-2012 and 10-31-2019. By applying the previously developed model, patients were classified into HF with reduced EF (HFrEF) or preserved EF (HFpEF). EF values recorded in EMR data were used to define gold-standard HFpEF (LVEF ≥45%) and HFrEF (LVEF<45%). Model performance was reported in terms of overall accuracy, positive predicted values (PPV), and sensitivity for HFrEF and HFpEF. Results A total of 7,001 HF patients with an average age of 71 years were identified, 1,700 (24.3%) of whom had HFrEF. An overall accuracy of 0.81 (95% CI: 0.80–0.82) was seen in this external validation sample. For HFpEF, the model had sensitivity of 0.96 (95%CI, 0.95–0.97) and PPV of 0.81 (95% CI, 0.81–0.82); while for HFrEF, the sensitivity was 0.32 (95%CI, 0.30–0.34) and PPV was 0.73 (95%CI, 0.69–0.76). These results were consistent with what was previously published in US Medicare claims data. Conclusions The successful validation of the Medicare claims-based model provides evidence that this model may be used to identify patient subgroups with specific EF class in commercial claims databases as well.

scholarly journals External validation of a claims-based model to predict left ventricular ejection fraction class in patients with heart failure

2020 ◽  
Author(s):  
Mufaddal Mahesri ◽  
Kristyn Chin ◽  
Abheenava Kumar ◽  
Aditya Barve ◽  
Rachel Studer ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
External Validation ◽  
Model Performance ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Administrative Claims ◽  
Validation Sample ◽  
Ventricular Ejection Fraction ◽  
Medicare Claims

ABSTRACTBACKGROUNDEjection fraction (EF) is an important prognostic factor in heart failure (HF), but administrative claims databases lack information on EF. We previously developed a model to predict EF class from Medicare claims. Here, we evaluated the performance of this model in an external validation sample of commercial insurance enrollees.METHODTruven MarketScan claims linked to electronic medical records (EMR) data (IBM Explorys) containing EF measurements were used to identify a cohort of US patients with HF between 01-01-2012 and 10-31-2019. By applying the previously developed model, patients were classified into HF with reduced EF (HFrEF) or preserved EF (HFpEF). EF values recorded in EMR data were used to define gold-standard HFpEF (LVEF ≥45%) and HFrEF (LVEF<45%). Model performance was reported in terms of overall accuracy, positive predicted values (PPV), and sensitivity for HFrEF and HFpEF.RESULTSA total of 7,001 HF patients with an average age of 71 years were identified, 1,700 (24.3%) of whom had HFrEF. An overall accuracy of 0.81 (95% CI: 0.80-0.82) was seen in this external validation sample. For HFpEF, the model had sensitivity of 0.96 (95%CI, 0.95-0.97) and PPV of 0.81 (95% CI, 0.81-0.82); while for HFrEF, the sensitivity was 0.32 (95%CI, 0.30-0.34) and PPV was 0.73 (95%CI, 0.69-0.76). These results were consistent with what was previously published in US Medicare claims data.CONCLUSIONSThe successful validation of the Medicare claims-based model provides evidence that this model may be used to identify patient subgroups with specific EF class in commercial claims databases as well.

scholarly journals Updating The Accuracy of Administrative Claims for Identifying Left Ventricular Ejection Fraction Among Patients with Heart Failure

2021 ◽  
Author(s):  
Alexander Sandhu ◽  
Jimmy Zheng ◽  
Paul A Heidenreich
Keyword(s):  
Heart Failure ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Predictive Accuracy ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Administrative Claims ◽  
Ventricular Ejection Fraction ◽  
Reduced Ejection Fraction

Introduction: Left ventricular ejection fraction (EF) is an important factor for treatment decisions for heart failure. The EF is unavailable in administrative claims. We sought to evaluate the predictive accuracy of claims diagnoses for classifying heart failure with reduced ejection fraction (HFrEF) versus heart failure with preserved ejection fraction (HFpEF) with International Classification of Disease-Tenth Revision codes. Methods: We identified HF diagnoses for VA patients between 2017-2019 and extracted the EF from clinical notes and imaging reports using a VA natural language processing algorithm. We classified sets of codes as HFrEF-related, HFpEF-related, or non-specific based on the closest EF within 180 days. We selected a random heart failure diagnosis for each patient and tested the predictive accuracy of various algorithms for identifying HFrEF using the last 1 year of heart failure diagnoses. We performed sensitivity analyses on the EF thresholds, the cohort, and the diagnoses used. Results: Between 2017-2019, we identified 358,172 patients and 1,671,084 diagnoses with an EF recording within 180 days. After dividing diagnoses into HFrEF-related, HFpEF-related, or non-specific, we found using the proportion of specific diagnoses classified as HFrEF-related had an AUC of 0.76 for predicting EF≤40% and 0.80 for predicting EF<50%. However, 23.3% of patients could not be classified due to only having non-specific codes. Predictive accuracy increased among patients with ≥4 HF diagnoses over the preceding year. Discussion: In a VA cohort, administrative claims with ICD-10 codes had moderate accuracy for identifying reduced ejection fraction. This level of specificity is likely inadequate for performance measures. Administrative claims need to better align terminology with relevant clinical definitions.

Heart Failure with Preserved Ejection Fraction – A Review

2012 ◽  
Vol 9 (1) ◽  
pp. 90-95 ◽  
Author(s):  
Otto A Smiseth ◽  
Anders Opdahl ◽  
Espen Boe ◽  
Helge Skulstad
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Diastolic Heart Failure ◽  
The Elderly ◽  
Left Ventricular ◽  
Filling Pressure ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Reduced Ejection Fraction ◽  
Objective Evidence

Heart failure with preserved left ventricular ejection fraction (HF-PEF), sometimes named diastolic heart failure, is a common condition most frequently seen in the elderly and is associated with arterial hypertension and left ventricular (LV) hypertrophy. Symptoms are attributed to a stiff left ventricle with compensatory elevation of filling pressure and reduced ability to increase stroke volume by the Frank-Starling mechanism. LV interaction with stiff arteries aggravates these problems. Prognosis is almost as severe as for heart failure with reduced ejection fraction (HF-REF), in part reflecting co-morbidities. Before the diagnosis of HF-PEF is made, non-cardiac etiologies must be excluded. Due to the non-specific nature of heart failure symptoms, it is essential to search for objective evidence of diastolic dysfunction which, in the absence of invasive data, is done by echocardiography and demonstration of signs of elevated LV filling pressure, impaired LV relaxation, or increased LV diastolic stiffness. Antihypertensive treatment can effectively prevent HF-PEF. Treatment of HF-PEF is symptomatic, with similar drugs as in HF-REF.

ACCESSMENT OF RIGHT VENTRICULAR SYSTOLIC FUNCTION USING TAPSE

2011 ◽  
pp. 62-70
Author(s):  
Lien Nhut Nguyen ◽  
Anh Vu Nguyen
Keyword(s):  
Heart Failure ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Right Ventricular ◽  
Systolic Function ◽  
Systolic Heart Failure ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

Background: The prognostic importance of right ventricular (RV) dysfunction has been suggested in patients with systolic heart failure (due to primary or secondary dilated cardiomyopathy - DCM). Tricuspid annular plane systolic excursion (TAPSE) is a simple, feasible, reality, non-invasive measurement by transthoracic echocardiography for evaluating RV systolic function. Objectives: To evaluate TAPSE in patients with primary or secondary DCM who have left ventricular ejection fraction ≤ 40% and to find the relation between TAPSE and LVEF, LVDd, RVDd, RVDd/LVDd, RA size, severity of TR and PAPs. Materials and Methods: 61 patients (36 males, 59%) mean age 58.6 ± 14.4 years old with clinical signs and symtomps of chronic heart failure which caused by primary or secondary DCM and LVEF ≤ 40% and 30 healthy subject (15 males, 50%) mean age 57.1 ± 16.8 were included in this study. All patients and controls were underwent echocardiographic examination by M-mode, two dimentional, convensional Dopler and TAPSE. Results: TAPSE is significant low in patients compare with the controls (13.93±2.78 mm vs 23.57± 1.60mm, p<0.001). TAPSE is linearly positive correlate with echocardiographic left ventricular ejection fraction (r= 0,43; p<0,001) and linearly negative correlate with RVDd (r= -0.39; p<0.01), RVDd/LVDd (r=-0.33; p<0.01), RA size (r=-0.35; p<0.01), TR (r=-0.26; p<0.05); however, no correlation was found with LVDd and PAPs. Conclusions: 1. Decreased RV systolic function as estimated by TAPSE in patients with systolic heart failure primary and secondary DCM) compare with controls. 2. TAPSE is linearly positive correlate with LVEF (r= 0.43; p<0.001) and linearly negative correlate with RVDd (r= -0.39; p<0.01), RVDd/LVDd (r=-0.33; p<0.01), RA size (r=-0.35; p<0.01), TR (r=-0.26; p<0.05); however, no correlation is found with LVDd and PAPs. 3. TAPSE should be used routinely as a simple, feasible, reality method of estimating RV function in the patients systolic heart failure DCM (primary and secondary).

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