Efficient selective screening for heart failure in elderly men and women from the community: A diagnostic individual participant data meta-analysis

Risk of bias assessments in individual participant data meta-analyses of test accuracy and prediction models: a review shows improvements are needed

OBJECTIVES

Risk of bias assessments are important in meta-analyses of both aggregate and individual participant data (IPD). There is limited evidence on whether and how risk of bias of included studies or datasets in IPD meta-analyses (IPDMAs) is assessed. We review how risk of bias is currently assessed, reported, and incorporated in IPDMAs of test accuracy and clinical prediction model studies and provide recommendations for improvement.

STUDY DESIGN AND SETTING

We searched PubMed (January 2018-May 2020) to identify IPDMAs of test accuracy and prediction models, then elicited whether each IPDMA assessed risk of bias of included studies and, if so, how assessments were reported and subsequently incorporated into the IPDMAs.

RESULTS

Forty-nine IPDMAs were included. Nineteen of 27 (70%) test accuracy IPDMAs assessed risk of bias, compared to 5 of 22 (23%) prediction model IPDMAs. Seventeen of 19 (89%) test accuracy IPDMAs used Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2), but no tool was used consistently among prediction model IPDMAs. Of IPDMAs assessing risk of bias, 7 (37%) test accuracy IPDMAs and 1 (20%) prediction model IPDMA provided details on the information sources (e.g., the original manuscript, IPD, primary investigators) used to inform judgments, and 4 (21%) test accuracy IPDMAs and 1 (20%) prediction model IPDMA provided information or whether assessments were done before or after obtaining the IPD of the included studies or datasets. Of all included IPDMAs, only seven test accuracy IPDMAs (26%) and one prediction model IPDMA (5%) incorporated risk of bias assessments into their meta-analyses. For future IPDMA projects, we provide guidance on how to adapt tools such as Prediction model Risk Of Bias ASsessment Tool (for prediction models) and QUADAS-2 (for test accuracy) to assess risk of bias of included primary studies and their IPD.

CONCLUSION

Risk of bias assessments and their reporting need to be improved in IPDMAs of test accuracy and, especially, prediction model studies. Using recommended tools, both before and after IPD are obtained, will address this.

Two-Year Changes in Diabetic Kidney Disease Phenotype and the Risk of Heart Failure: A Nationwide Population-Based Study in Korea

BACKGRUOUND

Diabetic kidney disease (DKD) is a risk factor for hospitalization for heart failure (HHF). DKD could be classified into four phenotypes by estimated glomerular filtration rate (eGFR, normal vs. low) and proteinuria (PU, negative vs. positive). Also, the phenotype often changes dynamically. This study examined HHF risk according to the DKD phenotype changes across 2-year assessments.

METHODS

The study included 1,343,116 patients with type 2 diabetes mellitus (T2DM) from the Korean National Health Insurance Service database after excluding a very high-risk phenotype (eGFR <30 mL/min/1.73 m2) at baseline, who underwent two cycles of medical checkups between 2009 and 2014. From the baseline and 2-year eGFR and PU results, participants were divided into 10 DKD phenotypic change categories.

RESULTS

During an average of 6.5 years of follow-up, 7,874 subjects developed HHF. The cumulative incidence of HHF from index date was highest in the eGFRlowPU- phenotype, followed by eGFRnorPU+ and eGFRnorPU-. Changes in DKD phenotype differently affect HHF risk. When the persistent eGFRnorPU- category was the reference, hazard ratios for HHF were 3.10 (95% confidence interval [CI], 2.73 to 3.52) in persistent eGFRnorPU+ and 1.86 (95% CI, 1.73 to 1.99) in persistent eGFRlowPU-. Among altered phenotypes, the category converted to eGFRlowPU+ showed the highest risk. In the normal eGFR category at the second examination, those who converted from PU- to PU+ showed a higher risk of HHF than those who converted from PU+ to PU-.

CONCLUSION

Changes in DKD phenotype, particularly with the presence of PU, are more likely to reflect the risk of HHF, compared with DKD phenotype based on a single time point in patients with T2DM.

Diagnostic accuracy of natriuretic peptide screening for left ventricular systolic dysfunction in the community: systematic review and meta-analysis

AIMS

Heart failure (HF) is a global health burden and new strategies to achieve timely diagnosis and early intervention are urgently needed. Natriuretic peptide (NP) testing can be used to screen for left ventricular systolic dysfunction (LVSD), but evidence on test performance is mixed, and international HF guidelines differ in their recommendations. Our aim was to summarize the evidence on diagnostic accuracy of NP screening for LVSD in general and high-risk community populations and estimate optimal screening thresholds.

METHODS

We searched relevant databases up to August 2020 for studies with a screened community population of over 100 adults reporting NP performance to diagnose LVSD. Study inclusion, quality assessment, and data extraction were conducted independently and in duplicate. Diagnostic test meta-analysis used hierarchical summary receiver operating characteristic curves to obtain estimates of pooled accuracy to detect LVSD, with optimal thresholds obtained to maximize the sum of sensitivity and specificity.

RESULTS

Twenty-four studies were identified, involving 26 565 participants: eight studies in high-risk populations (at least one cardiovascular risk factor), 12 studies in general populations, and four in both high-risk and general populations combined. For detecting LVSD in screened high-risk populations with N-terminal prohormone brain natriuretic peptide (NT-proBNP), the pooled sensitivity was 0.87 [95% confidence interval (CI) 0.73-0.94] and specificity 0.84 (95% CI 0.55-0.96); for BNP, sensitivity was 0.75 (95% CI 0.65-0.83) and specificity 0.78 (95% CI 0.72-0.84). Heterogeneity between studies was high with variations in positivity threshold. Due to a paucity of high-risk studies that assessed NP performance at multiple thresholds, it was not possible to calculate optimal thresholds for LVSD screening in high-risk populations alone. To provide an indication of where the positivity threshold might lie, the pooled accuracy for LVSD screening in high-risk and general community populations were combined and gave an optimal cut-off of 311 pg/mL [sensitivity 0.74 (95% CI 0.53-0.88), specificity 0.85 (95% CI 0.68-0.93)] for NT-proBNP and 49 pg/mL [sensitivity 0.68 (95% CI 0.45-0.85), specificity 0.81 (0.67-0.90)] for BNP.

CONCLUSIONS

Our findings suggest that in high-risk community populations NP screening may accurately detect LVSD, potentially providing an important opportunity for diagnosis and early intervention. Our study highlights an urgent need for further prospective studies, as well as an individual participant data meta-analysis, to more precisely evaluate diagnostic accuracy and identify optimal screening thresholds in specifically defined community-based populations to inform future guideline recommendations.

Medical Treatment of Heart Failure with Reduced Ejection Fraction in the Elderly

The aging population, higher burden of predisposing conditions and comorbidities along with improvements in therapy all contribute to the growing prevalence of heart failure (HF). Although the majority of trials have not demonstrated age-dependent heterogeneity in the efficacy or safety of medical treatment for HF, the latest trials demonstrate that older participants are less likely to receive established drug therapies for HF with reduced ejection fraction. There remains reluctance in real-world clinical practice to prescribe and up-titrate these medications in older people, possibly because of (mis)understanding about lower tolerance and greater propensity for developing adverse drug reactions. This is compounded by difficulties in the management of multiple medications, patient preferences and other non-medical considerations. Future research should provide a more granular analysis on how to approach medical and device therapies in elderly patients, with consideration of biological differences, difficulties in care delivery and issues relevant to patients’ values and perspectives. A variety of approaches are needed, with the central principle being to ‘add years to life – and life to years’. These include broader representation of elderly HF patients in clinical trials, improved education of healthcare professionals, wider provision of specialised centres for multidisciplinary HF management and stronger implementation of HF medical treatment in vulnerable patient groups.

Relationship Between Praying and Self-Care in Elderly with Heart Failure: A Cross-Sectional Study in West of Iran

Given the prevalence of Heart Failure (HF), the current study was conducted, aiming to determine the relationship between praying and self-care in the patients with HF in Iran in 2018. The type of the study is descriptive-analytical, which has been conducted in patient group of more than 65, suffering HF. The population of study has consisted of HF patients, referring to Shahid Mostafa Khomeini Hospital of Ilam province. Therefore, the patients, referring to this hospital for medical treatments, were included in this study. The study data were analyzed using software SPSS16. The findings showed there was a significant relationship between the severity of prayer and the demographic variables, such as gender (p < 0.004), education (p < 0.03), and duration of the disease (p < 0.001). The findings also showed that there was a relationship between self-care and gender (p < 0.001), education (p < 0.004), and duration of disease (p < 0.001). Also, the findings showed that there is a relationship between self-care and prayer (r = 727), so that increasing the amount of prayer will increase self-care. The mean (SD) of total prayer is 167.33 (10.49) and total self-care is 35.86 (10.60). With the increase in the rate of praying, their self-care increased. Based upon this, religious interventions are recommended to be held for this group of patients, focusing on praying.

Mid-regional pro-atrial natriuretic peptide for the early detection of non-acute heart failure

BACKGROUND

Diagnosing non-acute heart failure (HF) remains challenging, notably in the early stages of the syndrome. The diagnostic value of mid-regional pro-atrial natriuretic peptide (MR-proANP) has been proven in acute onset HF, but its role in early non-acute HF is unknown. We aimed to determine the diagnostic value of MR-proANP in suspected non-acute HF.

METHODS AND RESULTS

In total, 721 people suspected of non-acute HF in primary care underwent standardised diagnostic work-up including chest X-ray, electrocardiogram, N-terminal pro-B-type natriuretic peptide (NT-proBNP) measurement and echocardiography. Of these, 245 people underwent additional MR-proANP measurements. The outcome of HF was assessed by an expert panel comprised of two cardiologists and one expert physician, who used all available diagnostic information including echocardiography, but were blinded to biomarker results. Of the 245 people (mean age 71.0 years, 62.9% female), 72 (29.4%) were diagnosed with HF. The c-statistics of MR-proANP and NT-proBNP as single diagnostic test were 0.77 [95% confidence interval (CI) 0.70-0.84] and 0.79 (95% CI 0.73-0.86), respectively. The cut-point with the highest accuracy for MR-proANP was 120 pmol/L [sensitivity/specificity/positive predictive value (PPV)/negative predictive value (NPV) 0.72, 0.69, 0.46, and 0.86, respectively], and the best exclusionary cut-point was 40 pmol/L (sensitivity/specificity/PPV/NPV 0.99, 0.06, 0.30, and 0.92, respectively). After addition of MR-proANP on top of a previously validated clinical model, the c-statistic rose from 0.82 (95% CI 0.76-0.88) to 0.86 (95% CI 0.80-0.92), and with the addition of NT-proBNP to 0.87 (95% CI 0.81-0.92). No sex interactions between the biomarkers and HF were found in the multivariable models.

CONCLUSION

MR-proANP provides added diagnostic value in suspected non-acute HF, similar to NT-proBNP.

Opportunistic screening models for high-risk men and women to detect diastolic dysfunction and heart failure with preserved ejection fraction in the community

Background

The prevalence of undetected left ventricular diastolic dysfunction is high, especially in the elderly with comorbidities. Left ventricular diastolic dysfunction is a prognostic indicator of heart failure, in particularly of heart failure with preserved ejection fraction and of future cardiovascular and all-cause mortality. Therefore we aimed to develop sex-specific diagnostic models to enable the early identification of men and women at high-risk of left ventricular diastolic dysfunction with or without symptoms of heart failure who require more aggressive preventative strategies.

Design

Individual patient data from four primary care heart failure-screening studies were analysed (1371 participants, excluding patients classified as heart failure and left ventricular ejection fraction <50%).

Methods

Eleven candidate predictors were entered into logistic regression models to be associated with the presence of left ventricular diastolic dysfunction/heart failure with preserved ejection fraction in men and women separately. Internal-external cross-validation was performed to develop and validate the models.

Results

Increased age and β-blocker therapy remained as predictors in both the models for men and women. The model for men additionally consisted of increased body mass index, moderate to severe shortness of breath, increased pulse pressure and history of ischaemic heart disease. The models performed moderately and similarly well in men (c-statistics range 0.60–0.75) and women (c-statistics range 0.51–0.76) and the performance improved significantly following the addition of N-terminal pro b-type natriuretic peptide (c-statistics range 0.61–0.80 in women and 0.68–0.80 in men).

Conclusions

We provide an easy-to-use screening tool for use in the community, which can improve the early detection of left ventricular diastolic dysfunction/heart failure with preserved ejection fraction in high-risk men and women and optimise tailoring of preventive interventions.

Type 2 diabetes mellitus and heart failure: a position statement from the Heart Failure Association of the European Society of Cardiology

The coexistence of type 2 diabetes mellitus (T2DM) and heart failure (HF), either with reduced (HFrEF) or preserved ejection fraction (HFpEF), is frequent (30-40% of patients) and associated with a higher risk of HF hospitalization, all-cause and cardiovascular (CV) mortality. The most important causes of HF in T2DM are coronary artery disease, arterial hypertension and a direct detrimental effect of T2DM on the myocardium. T2DM is often unrecognized in HF patients, and vice versa, which emphasizes the importance of an active search for both disorders in the clinical practice. There are no specific limitations to HF treatment in T2DM. Subanalyses of trials addressing HF treatment in the general population have shown that all HF therapies are similarly effective regardless of T2DM. Concerning T2DM treatment in HF patients, most guidelines currently recommend metformin as the first-line choice. Sulphonylureas and insulin have been the traditional second- and third-line therapies although their safety in HF is equivocal. Neither glucagon-like preptide-1 (GLP-1) receptor agonists, nor dipeptidyl peptidase-4 (DPP4) inhibitors reduce the risk for HF hospitalization. Indeed, a DPP4 inhibitor, saxagliptin, has been associated with a higher risk of HF hospitalization. Thiazolidinediones (pioglitazone and rosiglitazone) are contraindicated in patients with (or at risk of) HF. In recent trials, sodium-glucose co-transporter-2 (SGLT2) inhibitors, empagliflozin and canagliflozin, have both shown a significant reduction in HF hospitalization in patients with established CV disease or at risk of CV disease. Several ongoing trials should provide an insight into the effectiveness of SGLT2 inhibitors in patients with HFrEF and HFpEF in the absence of T2DM.