Dataset Information

Derivation and validation of a computable phenotype for acute decompensated heart failure in hospitalized patients.

ABSTRACT:

Background

With higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patients can be an invaluable tool to enhance data abstraction accuracy and efficacy in order to improve clinical research accrual and patient centered outcomes. We aimed to derive and validate a computable phenotype for ADHF in hospitalized patients.

Methods

We screened 256, 443 eligible (age?>?18?years and with prior research authorization) individuals who were admitted to Mayo Clinic Hospital in Rochester, MN, from January 1, 2006, through December 31, 2014. Using a randomly selected derivation cohort of 938 patients, several iterations of a free-text electronic search were developed and refined. The computable phenotype was subsequently validated in an independent cohort 100 patients. The sensitivity and specificity of the computable phenotype were compared to the gold standard (expert review of charts) and International Classification of Diseases-9 (ICD-9) codes for Acute Heart Failure.

Results

In the derivation cohort, the computable phenotype achieved a sensitivity of 97.5%, and specificity of 100%, whereas ICD-9 codes for Acute Heart Failure achieved a sensitivity of 47.5% and specificity of 96.7%. When all Heart Failure codes (ICD-9) were used, sensitivity and specificity were 97.5 and 86.6%, respectively. In the validation cohort, the sensitivity and specificity of the computable phenotype were 100 and 98.5%. The sensitivity and specificity for the ICD-9 codes (Acute Heart Failure) were 42 and 98.5%. Upon use of all Heart Failure codes (ICD-9), sensitivity and specificity were 96.8 and 91.3%.

Conclusions

Our results suggest that using computable phenotype to ascertain ADHF from the clinical notes contained within the electronic medical record are feasible and reliable. Our computable phenotype outperformed ICD-9 codes for the detection of ADHF.

SUBMITTER: Kashyap R

PROVIDER: S-EPMC7206747 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Derivation and validation of a computable phenotype for acute decompensated heart failure in hospitalized patients.

Kashyap Rahul R Sarvottam Kumar K Wilson Gregory A GA Jentzer Jacob C JC Seisa Mohamed O MO Kashani Kianoush B KB

BMC medical informatics and decision making 20200507 1

<h4>Background</h4>With higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patients can be an invaluable tool to enhance data abstraction accuracy and efficacy in order to improve clinical research accrual and patient centered outcomes. We aimed to derive and validate a computable phenotype for ADHF in hospitalized patients.<h4>Methods</h4>We screened ...[more]

PMID: 32380983

Similar Datasets

Project description:Background Our aim was to calibrate and externally revalidate the ELAN-HF (European Collaboration on Acute Decompensated Heart Failure) score, to confirm and improve on a previous external validation of the risk score. Methods and Results The ELAN-HF score predicts 6-month all-cause mortality in patients hospitalized for acute decompensated heart failure using absolute and percentage change of NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels in addition to clinical variables. For the external validation, we used the PRIMA II (Can NT-proBNP-Guided Therapy During Hospital Admission for Acute Decompensated Heart Failure Reduce Mortality and Readmissions?) trial. For both data sets, observed versus predicted mortality was compared for the 4 risk categories; and the mean predicted mortality was plotted against the observed mortality with calculation of a correlation coefficient and SEE. The model discriminant ability was determined by comparing the C-statistics for both data sets. The predicted versus actual 6-month mortality values in the derivation cohort were 3.7% versus 3.6% for the low-risk category, 9.4% versus 9.2% for the intermediate-risk category, 24.2% versus 23.5% for the high-risk category, and 54.2% versus 51.1% for the very-high-risk category. The correlation between predicted and observed mortality by deciles was 0.92, with an SEE of ±4%. In the validation cohort, predicted versus actual 6-month mortality values were 3.0% versus 2.2% for the low-risk category, 9.4% versus 8.2% for the intermediate-risk category, 25.0% versus 22.9% for the high-risk category, and 56.8% versus 53.6% for the very-high-risk category. The correlation between predicted and actual mortality by quintiles was 0.99, with an SEE of ±2%. There was no significant difference in C-statistic between the derivation cohort (0.78; 95% CI, 0.74-0.82) and the validation cohort (0.77; 95% CI, 0.69-0.84; P=0.693). Conclusions Our study confirms that the ELAN-HF score predicts accurately 6-month mortality in patients hospitalized for acute decompensated heart failure with the use of easily obtained characteristics.

Project description:BackgroundLoop diuretics are an essential component of therapy for patients with acute decompensated heart failure, but there are few prospective data to guide their use.MethodsIn a prospective, double-blind, randomized trial, we assigned 308 patients with acute decompensated heart failure to receive furosemide administered intravenously by means of either a bolus every 12 hours or continuous infusion and at either a low dose (equivalent to the patient's previous oral dose) or a high dose (2.5 times the previous oral dose). The protocol allowed specified dose adjustments after 48 hours. The coprimary end points were patients' global assessment of symptoms, quantified as the area under the curve (AUC) of the score on a visual-analogue scale over the course of 72 hours, and the change in the serum creatinine level from baseline to 72 hours.ResultsIn the comparison of bolus with continuous infusion, there was no significant difference in patients' global assessment of symptoms (mean AUC, 4236±1440 and 4373±1404, respectively; P=0.47) or in the mean change in the creatinine level (0.05±0.3 mg per deciliter [4.4±26.5 μmol per liter] and 0.07±0.3 mg per deciliter [6.2±26.5 μmol per liter], respectively; P=0.45). In the comparison of the high-dose strategy with the low-dose strategy, there was a nonsignificant trend toward greater improvement in patients' global assessment of symptoms in the high-dose group (mean AUC, 4430±1401 vs. 4171±1436; P=0.06). There was no significant difference between these groups in the mean change in the creatinine level (0.08±0.3 mg per deciliter [7.1±26.5 μmol per liter] with the high-dose strategy and 0.04±0.3 mg per deciliter [3.5±26.5 μmol per liter] with the low-dose strategy, P=0.21). The high-dose strategy was associated with greater diuresis and more favorable outcomes in some secondary measures but also with transient worsening of renal function.ConclusionsAmong patients with acute decompensated heart failure, there were no significant differences in patients' global assessment of symptoms or in the change in renal function when diuretic therapy was administered by bolus as compared with continuous infusion or at a high dose as compared with a low dose. (Funded by the National Heart, Lung, and Blood Institute; ClinicalTrials.gov number, NCT00577135.).

Project description:BackgroundOlder patients hospitalized with acute decompensated heart failure (ADHF) have marked functional impairments, which may contribute to their delayed and incomplete recovery and persistently poor outcomes. However, whether impairment severity differs by race and sex is unknown.MethodsREHAB-HF trial participants (≥60 years) were assessed just before discharge home from ADHF hospitalization. Physical function [Short Physical Performance Battery; 6-min walk distance (6MWD)], frailty (Fried criteria), cognition [Montreal Cognitive Assessment (MoCA)], quality-of-life [Kansas City Cardiomyopathy Questionnaire, Short-Form-12, EuroQol-5D-5L], and depression [Geriatric Depression Scale (GDS)] were examined by race and sex.ResultsThis prespecified subgroup cross-sectional analysis included 337 older adults (52% female, 50% Black). Black participants were on average younger than White participants (70.3 ± 7.2 vs. 74.7 ± 8.3 years). After age, body mass index, ejection fraction, comorbidity, and education adjustment, and impairments were similarly common and severe across groups except: Black male and Black and White female participants had more severely impaired walking function compared with White male participants [6MWD (m) 187 ± 12, 168 ± 9170 ± 11 vs. 239 ± 9, p < 0.001]; gait speed (m/s) (0.61 ± 0.03, 0.56 ± 0.02, 0.55 ± 0.02 vs. 0.69 ± 0.02, p < 0.001); White female participants had the highest frailty prevalence (72% vs. 47%-51%, p = 0.007); and Black participants had lower MoCA scores compared with White participants (20.9 ± 4.5 vs. 22.8 ± 3.9, p < 0.001). Depressive symptoms were common overall (43% GDS ≥5), yet underrecognized clinically (18%), especially in Black male participants compared with White male participants (7% vs. 20%).ConclusionAmong older patients hospitalized for ADHF, frailty and functional impairments with high potential to jeopardize patient HF self-management, safety, and independence were common and severe across all race and sex groups. Impairment severity was often worse in Black participant and female participant groups. Formal screening across frailty and functional domains may identify those who may require greater support and more tailored care to reduce the risk of adverse events and excess hospitalizations and death.

Project description:BackgroundPolyvascular disease is associated with increased mortality rates and decreased quality of life. Whether its prevalence or associated outcomes differ for patients hospitalized with heart failure with reduced vs preserved ejection fraction (HFrEF vs HFpEF, respectively) is uncertain.MethodsThe Atherosclerosis Risk in Communities (ARIC) study conducted hospital surveillance of acute decompensated heart failure (ADHF) from 2005-2014. Polyvascular disease (coexisting disease in ≥ 2 arterial beds) was identified based on the finding of prevalent coronary artery disease, peripheral artery disease or cerebrovascular disease. Mortality risks associated with polyvascular disease were analyzed separately for HFpEF and HFrEF, with adjustment for potential confounders. All analyses were weighted by the inverse of the sampling probability.ResultsOf 24,937 weighted (5460 unweighted) hospitalizations due to ADHF (52% female, 32% Black, mean age 75 years), polyvascular disease was prevalent in 22% with HFrEF and in 17% with HFpEF. One-year mortality risks increased sequentially with 0, 1 and ≥ 2 arterial bed involvement, both for patients with HFrEF (29%-32%-38%; P trend = 0.0006) and for those with HFpEF (26%-32%-37%; P trend < 0.0001). After adjustments, polyvascular disease was associated with a 26% higher mortality hazard for patients with HFrEF (HR = 1.26; 95% CI: 1.07-1.50) and a 29% higher hazard for patients with HFpEF (HR = 1.29; 95% CI: 1.03-1.62), with no interaction by HF type (P interaction = 0.9).ConclusionPatients hospitalized with ADHF and coexisting polyvascular disease have an increased risk of death, irrespective of HF type. Clinical attention should be directed toward polyvascular disease, with implementation of secondary prevention strategies to improve the prognosis of this high-risk population.SummaryPolyvascular disease is known to be associated with myocardial infarction, stroke or cardiovascular death and is a major risk factor for decreased quality of life. This study sought to evaluate the relationship between polyvascular disease and mortality in patients hospitalized with acute decompensated heart failure (ADHF), and to understand whether the associations differ based on ejection fraction. Patients hospitalized with ADHF and coexisting polyvascular disease had an increased risk of death, irrespective of heart failure type, implying the need for increased clinical attention directed toward polyvascular disease, along with implementation of secondary prevention strategies to improve prognosis.TweetPatients hospitalized with acute HF and coexisting polyvascular disease face an increased risk of death, irrespective of HF type.

Dataset Information

Derivation and validation of a computable phenotype for acute decompensated heart failure in hospitalized patients.

Background

Methods

Results

Conclusions

Publications

Derivation and validation of a computable phenotype for acute decompensated heart failure in hospitalized patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets