Impact of airflow limitation in chronic heart failure

Scoping Review of Measures of Comorbidities in Heart Failure

BACKGROUND

Comorbidities are risk factors for poor clinical outcomes in patients with heart failure. However, no consensus has been reached on how to assess comorbidities related to clinical outcomes in patients with heart failure.

OBJECTIVE

The aims of this study were to review (1) how comorbidities have been assessed, (2) what chronic conditions have been identified as comorbidities and (3) the rationale for choosing the comorbidity instruments and/or specific comorbidities when exploring clinical outcomes in patients with heart failure.

METHODS

The clinical outcomes of interest were mortality, hospitalization, quality of life, and self-care. Three electronic databases and reference list searches were used in the search.

RESULTS

In this review, we included 39 articles using 3 different ways to assess comorbidities in the relationship with clinical outcomes: using an instrument (ie, Charlson Comorbidity Index), disease count, and including individual comorbidities. A total of 90 comorbidities were investigated in the 39 articles; however, definitions and labels for the diseases were inconsistent across the studies. More than half of the studies (n = 22) did not provide a rationale for selecting the comorbidity instruments and/or all of the specific comorbidities. Some of the rationale for choosing the instruments and/or specific comorbidities was inappropriate.

CONCLUSIONS

We found several issues related to measuring comorbidities when examining clinical outcomes in patients with heart failure. Researchers need to consider these methodological issues when measuring comorbidities in patients with heart failure. Further efforts are needed to develop guidelines on how to choose proper measures for comorbidities.

Psychometric Properties of the Kansas City Cardiomyopathy Questionnaire in a Surgical Population of Patients With Aortic Valve Stenosis

The 12-item version of the Kansas City Cardiomyopathy Questionnaire (KCCQ-12) was originally developed for patients with heart failure but has been used and tested among patients with severe aortic stenosis (AS) who underwent transcatheter aortic valve implantation. Whether the instrument is suitable for patients with AS who underwent surgical aortic valve replacement (SAVR) is currently unknown. Thus, we aimed to investigate the psychometric properties of the KCCQ-12 before and after SAVR among patients with severe AS. We conducted a prospective cohort of 184 patients with AS who completed the KCCQ-12 and the EuroQol 5 Dimension 5 Levels before and 4 weeks after surgery. Construct validity was investigated with hypothesis testing and an analysis of Spearman's correlation between the two instruments. Structural validity was investigated with explorative and confirmatory factor analyses and reliability with Cronbach's α. All analyses were conducted on data from the two time points (preoperatively and four weeks after surgery). The hypothesis testing revealed how the New York Heart Association class was significantly correlated with the preoperative KCCQ-12 total score (higher New York Heart Association class, worse score). A longer length of hospital stay and living alone were significantly associated with poorer postoperative KCCQ-12 total score. KCCQ-12 and EuroQol 5 Dimension 5 Levels were moderately correlated in most domains/the total score/Visual Analogue Scale score. Principal component analyses revealed two 3-factor structures. The confirmatory factor analyses did not support the original model at any time point. Cronbach's α ranged from 0.22 to 0.84 in three preoperative factors and from 0.39 to 0.76 in the postoperative factors. The total Cronbach's α was 0.83 for the suggested preoperative 3-factor model and 0.83 for the postoperative model. In conclusion, the Danish version of the KCCQ-12 tested in a population of patients with AS who underwent SAVR appears to have acceptable construct validity, whereas structural validity cannot be confirmed for the original four-factor model. Overall reliability is good.

Relationship between comorbidity and health outcomes in patients with heart failure: a systematic review and meta-analysis

BACKGROUND

The prevalence of heart failure (HF) is expected to rise due to increased survivorship and life expectancy of patients with acute heart conditions. Patients with HF and other multiple comorbid conditions are likely to have poor health outcomes. This study aimed to assimilate the current body of knowledge and to provide the pooled effect of HF patients' comorbid conditions on health outcomes.

METHODS

A systematic search was performed using MEDLINE, EMBASE and CINAHL databases. Observational studies evaluating the relationship between comorbid conditions and the health outcomes of HF were included. The pooled effect sizes of comorbidity on the identified health outcomes were calculated using a random effects model, and the heterogeneity was evaluated using I2 statistics.

RESULTS

A total of 42 studies were included in this review, and a meta-analysis was performed using the results of 39 studies. In the pooled analysis, the presence of a comorbid condition showed a significant pooled effect size in relation to the prognostic health outcomes: all-cause mortality (HR 1.31; 95% CI 1.18, 1.45), all-cause readmission (HR 1.16; 95% CI 1.09, 1.23), HF-related readmission (HR 1.13; 95% CI 1.05, 1.23), and non-HF-related readmission (HR 1.17; 95% CI 1.07, 1.27). Also, comorbidity was significantly associated with health-related quality of life and self-care confidence. Furthermore, we identified a total of 32 comorbid conditions from included studies. From these, 16 individual conditions were included in the meta-analyses, and we identified 10 comorbid conditions to have negative effects on overall prognostic outcomes: DM (HR 1.16, 95% CI 1.11, 1.22), COPD (HR 1.31, 95% CI 1.23, 1.39), CKD (HR 1.18, 95% CI 1.14, 1.23, stroke (HR 1.25, 95% CI 1.17, 1.31), IHD (HR 1.17, 95% CI 1.11, 1.23), anemia (HR 1.42, 95% CI 1.14, 1.78), cancer (HR 1.17, 95% CI 1.04, 1.32), atrial fibrillation (HR 1.25, 95% CI 1.01, 1.54), dementia (HR 1.19, 95% CI 1.03, 1.36) and depression (HR 1.17, 95% CI 1.04, 1.31).

CONCLUSIONS

Comorbid conditions have significantly negative pooled effects on HF patient health outcomes, especially in regard to the prognostic health outcomes. Clinicians should carefully identify and manage these conditions when implementing HF interventions to improve prognostic outcomes.

Cardiac biomarkers retain prognostic significance in patients with heart failure and chronic obstructive pulmonary disease

AIMS

Chronic obstructive pulmonary disease (COPD) is a frequent comorbidity in patients with heart failure (HF). We assessed the influence of COPD on circulating levels and prognostic value of three HF biomarkers: N-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-TnT), and soluble suppression of tumorigenesis-2 (sST2).

METHODS

Individual data from patients with chronic HF, known COPD status, NT-proBNP and hs-TnT values (n = 8088) were analysed. A subgroup (n = 3414) had also sST2 values.

RESULTS

Patients had a median age of 66 years (interquartile interval 57-74), 77% were men and 82% had HF with reduced ejection fraction. NT-proBNP, hs-TnT and sST2 were 1207 ng/l (487-2725), 17 ng/l (9-31) and 30 ng/ml (22-44), respectively. Patients with COPD (n = 1249, 15%) had higher NT-proBNP (P = 0.042) and hs-TnT (P < 0.001), but not sST2 (P = 0.165). Over a median 2.0-year follow-up (1.5-2.5), 1717 patients (21%) died, and 1298 (16%) died from cardiovascular causes; 2255 patients (28%) were hospitalized for HF over 1.8 years (0.9-2.1). NT-proBNP, hs-TnT and sST2 predicted the three end points regardless of COPD status. The best cut-offs from receiver-operating characteristics analysis were higher in patients with COPD than in those without. Patients with all three biomarkers higher than or equal to end-point- and COPD-status-specific cut-offs were also those with the worst prognosis.

CONCLUSIONS

Among patients with HF, those with COPD have higher NT-proBNP and hs-TnT, but not sST2. All these biomarkers yield prognostic significance regardless of the COPD status.

The prognostic impact of mechanical atrial dysfunction and atrial fibrillation in heart failure with preserved ejection fraction

AIMS

This study assessed the prognostic implications of mechanical atrial dysfunction in heart failure with preserved ejection fraction (HFpEF) patients with different stages of atrial fibrillation (AF) in detail.

METHODS AND RESULTS

HFpEF patients (n = 258) systemically underwent an extensive clinical characterization, including 24-h Holter monitoring and speckle-tracking echocardiography. Patients were categorized according to rhythm and stages of AF: 112 with no history of AF (no AF), 56 with paroxysmal AF (PAF), and 90 with sustained (persistent/permanent) AF (SAF). A progressive decrease in mechanical atrial function was seen: left atrial reservoir strain (LASr) 30.5 ± 10.5% (no AF), 22.3 ± 10.5% (PAF), and 13.9 ± 7.8% (SAF), P < 0.001. Independent predictors for lower LASr values were AF, absence of chronic obstructive pulmonary disease, higher N-terminal-pro hormone B-type natriuretic peptide, left atrial volume index, and relative wall thickness, lower left ventricular global longitudinal strain, and echocardiographic signs of elevated left ventricular filling pressure. LASr was an independent predictor of adverse outcome (hazard ratio per 1% decrease =1.049, 95% confidence interval 1.014-1.085, P = 0.006), whereas AF was not when the multivariable model included LASr. Moreover, LASr mediated the adverse outcome associated with AF in HFpEF (P = 0.008).

CONCLUSION

Mechanical atrial dysfunction has a possible greater prognostic role in HFpEF compared to AF status alone. Mechanical atrial dysfunction is a predictor of adverse outcome independently of AF presence or stage, and may be an underlying mechanism (mediator) for the worse outcome associated with AF in HFpEF. This may suggest mechanical atrial dysfunction plays a crucial role in disease progression in HFpEF patients with AF, and possibly also in HFpEF patients without AF.

Implications of Managing Chronic Obstructive Pulmonary Disease in Cardiovascular Diseases

Globally, cardiovascular diseases and chronic obstructive pulmonary disease (COPD) are the leading causes of the noncommunicable disease burden. Overlapping symptoms such as breathing difficulty and fatigue, with a lack of awareness about COPD among physicians, are key reasons for under-diagnosis and resulting sub-optimal care relative to COPD. Much has been published in the past on the pathogenesis and implications of cardiovascular comorbidities in COPD. However, a comprehensive review of the prevalence and impact of COPD management in commonly encountered cardiac diseases is lacking. The purpose of this study was to summarize the current knowledge regarding the prevalence of COPD in heart failure, ischemic heart disease, and atrial fibrillation. We also discuss the real-life clinical presentation and practical implications of managing COPD in cardiac diseases. We searched PubMed, Scopus, EMBASE, and Google Scholar for studies published 1981-May 2020 reporting the prevalence of COPD in the three specified cardiac diseases. COPD has high prevalence in heart failure, atrial fibrillation, and ischemic heart disease. Despite this, COPD remains under-diagnosed and under-managed in the majority of patients with cardiac diseases. The clinical implications of the diagnosis of COPD in cardiac disease includes the recognition of hyperinflation (a treatable trait), implementation of acute exacerbations of COPD (AECOPD) prevention strategies, and reducing the risk of overuse of diuretics. The pharmacological agents for the management of COPD have shown a beneficial effect on cardiac functions and mortality. The appropriate management of COPD improves the cardiovascular outcomes by reducing hyperinflation and preventing AECOPD, thus reducing the risk of mortality, improving exercise tolerance, and quality of life.

Impact of non-cardiovascular comorbidities on the quality of life of patients with chronic heart failure: a scoping review

PURPOSE

To determine the impact of non-cardiovascular comorbidities on the health-related quality of life (HRQoL) of patients with chronic heart failure (CHF).

METHODS

A scoping review of the scientific literature published between 2009 and 2019 was carried out. Observational studies which assessed the HRQoL of patients with CHF using validated questionnaires and its association with non-cardiovascular comorbidities were included.

RESULTS

The search identified 1904 studies, of which 21 fulfilled the inclusion criteria to be included for analysis. HRQoL was measured through specific, generic, or both types of questionnaires in 72.2%, 16.7%, and 11.1% of the studies, respectively. The most common comorbidities studied were diabetes mellitus (12 studies), mental and behavioral disorders (8 studies), anemia and/or iron deficiency (7 studies), and respiratory diseases (6 studies). Across studies, 93 possible associations between non-cardiovascular comorbidities and HRQoL were tested, of which 21.5% regarded anemia or iron deficiency, 20.4% mental and behavioral disorders, 20.4% diabetes mellitus, and 14.0% respiratory diseases. Despite the large heterogeneity across studies, all 21 showed that the presence of a non-cardiovascular comorbidity had a negative impact on the HRQoL of patients with CHF. A statistically significant impact on worse HRQoL was found in 84.2% of associations between mental and behavioral disorders and HRQoL (patients with depression had up to 200% worse HRQoL than patients without depression); 73.7% of associations between diabetes mellitus and HRQoL (patients with diabetes mellitus had up to 21.8% worse HRQoL than patients without diabetes mellitus); 75% of associations between anemia and/or iron deficiency and HRQoL (patients with anemia and/or iron deficiency had up to 25.6% worse HRQoL than between patients without anemia and/or iron deficiency); and 61.5% of associations between respiratory diseases and HRQoL (patients with a respiratory disease had up to 21.3% worse HRQoL than patients without a respiratory disease).

CONCLUSION

The comprehensive management of patients with CHF should include the management of comorbidities which have been associated with a worse HRQoL, with special emphasis on anemia and iron deficiency, mental and behavioral disorders, diabetes mellitus, and respiratory diseases. An adequate control of these comorbidities may have a positive impact on the HRQoL of patients.

Airflow limitation more than doubles the risk for hospitalization/mortality in patients with heart failure

BACKGROUND

Comorbid chronic obstructive pulmonary disease is found in approximately one-third of patients with heart failure. Survival in patients with chronic obstructive pulmonary disease generally decreases as lung function declines. However, the association between lung function, hospitalization and survival is less clear for patients with heart failure.

AIM

The purpose of this study was to determine the predictive power of spirometry measures for event-free survival (combined all-cause hospitalization and/or mortality) in patients with heart failure.

METHODS

In this secondary analysis of data from three prospective, longitudinal studies, we selected patients with a confirmed diagnosis of heart failure who completed airflow limitation assessment using spirometry measures ( n=137): forced vital capacity, forced expiratory volume/second, and forced expiratory volume/second/forced vital capacity. Cox proportional hazards modeling was used to determine the relationship between spirometry and all-cause hospitalization/mortality with and without adjusting for demographic and clinical covariates over a four-year follow-up period.

RESULTS

A majority (74%) exhibited some degree of airflow limitation (forced expiratory volume/second<80% predicted value) and 26 (19%) met the spirometric criterion for chronic obstructive pulmonary disease (forced expiratory volume/second/forced vital capacity⩽0.70). Cox proportional hazards regression models compared all-cause hospitalization/mortality between those with and without airflow limitation. Patients with airflow limitation were 2.2 times more likely to be hospitalized or die compared to those without airflow limitations (hazard ratio: 2.20, 95% confidence interval 1.06-4.53, p=0.03).

CONCLUSION

Patients with comorbid heart failure and airflow limitation were at more than double the risk for an event. Spirometric measures may be useful to patients with heart failure, as tailored management of airflow limitation may impact event-free survival.

Restrictive Spirometry Pattern, Cardiac Structure and Function, and Incident Heart Failure in African Americans. The Jackson Heart Study

RATIONALE

Although chronic obstructive pulmonary disease has been related to heart failure, the relationship between the restrictive spirometry pattern (forced vital capacity [FVC] < 80% predicted with preserved forced expiratory volume in 1 second [FEV1]/FVC ratio) and heart failure is poorly understood.

OBJECTIVES

To determine whether having a restrictive spirometry pattern is associated with incident heart failure hospitalization.

METHODS

Community-dwelling African Americans from the Jackson Heart Study (total n = 5,306; analyzed n = 4,210 with spirometry and heart failure outcome data) were grouped by restrictive spirometry (FEV1/FVC ≥ 0.70, FVC < 80%; n = 840), airflow obstruction (FEV1/FVC < 0.70; n = 341), and normal spirometry (FEV1/FVC ≥ 0.70, FVC ≥ 80%; n = 3,029) at the time of baseline examination in 2000-2004. We assessed relationships of echocardiographic parameters and biomarkers with spirometry patterns using regression models. Incident heart failure was defined as an adjudicated hospitalization for heart failure after January 1, 2005 in subjects with no self-reported heart failure history. We used multivariable-adjusted Poisson regression models and Cox proportional hazards models, with death treated as a competing risk in the Cox models, to test associations between spirometry patterns and incident heart failure. We also modeled the association of FVC% predicted with heart failure hospitalization risk using a restricted cubic spline after excluding subjects with airflow obstruction.

RESULTS

At the time of baseline spirometry, participants with restrictive spirometry had a median age of 57.2 years (interquartile range, 47.8-64.1); 38.1% were male. Compared with normal spirometry, restrictive spirometry was associated with a higher transmitral early (E) wave velocity to atrial (A) wave velocity ratio, higher pulmonary artery systolic pressure, and higher endothelin levels. After a median follow-up time of 8.0 years, 8.0% of subjects with restrictive spirometry (n = 67) had developed incident heart failure, compared with 3.8% of those with normal spirometry (n = 115) and 10.6% of those with airflow obstruction (n = 36). After risk adjustment, both a restrictive pattern (hazard ratio [HR], 1.5; 95% confidence interval [CI], 1.1-2.0) and airflow obstruction (HR, 1.7; 95% CI, 1.1-2.5) were associated with increased rates of incident heart failure hospitalization compared with normal spirometry. Using flexible modeling, the lowest hazards of heart failure hospitalization were observed around FVC 90-100%, with lower FVC% values associated with an increased incidence of heart failure.

CONCLUSIONS

Both a restrictive pattern on spirometry and airflow obstruction identify African Americans with impaired lung health at risk for heart failure.