Impact of diabetes mellitus on quality of life in patients with congestive heart failure

The impact of sacubitril/valsartan on outcome in patients suffering from heart failure with a concomitant diabetes mellitus

BACKGROUND

Guidelines classify sacubitril/valsartan as a significant part of medical treatment of heart failure with reduced ejection fraction (HFrEF). Data have shown that the HbA1c levels in patients with diabetes mellitus could be impacted by sacubitril/valsartan. A possible positive effect in diabetes patients treated with sacubitril/valsartan on outcome and echocardiography parameters is not well studied yet.

AIMS

The aim of the present study was to compare the impact of sacubitril/valsartan on life-threatening arrhythmias, atrial fibrillation, different echocardiography parameters and congestion rate in patients suffering from HFrEF according to the diagnosis diabetes mellitus or no diabetes mellitus.

METHODS AND RESULTS

Consecutive 240 patients with HFrEF from 2016 to 2020 were treated with sacubitril/valsartan and separated to concomitant diabetes mellitus (n = 87, median age 68 years interquartile range (IQR) [32-87]) or no diabetes mellitus (n = 153, median age 66 year IQR [34-89]). Different comorbidities and outcome data were evaluated over a follow-up period of 24 months. Arterial hypertension (87% vs. 64%; P < 0.01) and coronary artery disease (74% vs. 60%; P = 0.03) were more often documented in patients with diabetes mellitus compared with patients without diabetes mellitus. Over the follow-up of 24 months several changes were noted in both subgroups: Median left ventricular ejection fraction (EF) increased significantly in non-diabetes (27% IQR [3-44] at baseline to 35% IQR [13-64]; P < 0.001), but not in diabetic patients (29% IQR [10-65] at baseline to 30% IQR [13-55]; P = 0.11). Accordingly, NT-proBNP and troponin-I levels decreased significantly in non-diabetes patients (NT-brain natriuretic peptide [NT-proBNP] from median 1445 pg/mL IQR [12.6-74 676] to 491 pg/mL IQR [13-4571]; P < 0.001, troponin-I levels from 0.099 ng/mL IQR [0.009-138.69] to 0.023 ng/mL IQR [0.006-0.635]; P < 0.001), but not in diabetic patients (NT-proBNP from 1395 pg/mL IQR [100-29 924] to 885 pg/mL IQR [159-4331]; P = 0.06, troponin-I levels from 0.05 ng/mL IQR [0.013-103.0] to 0.020 ng/mL IQR [0.015-0.514]; P = 0.27). No significant change of laboratory parameters e. g. glomerular filtration rate, potassium level and creatinine levels were found in diabetes or non-diabetes patients. Comparing further echocardiography data, left atrial surface area, right atrial surface area, E/A ratio did not show a significant change either in the diabetes or non-diabetes group. However, the tricuspid annular plane systolic excursion was significantly increased in non-diabetes mellitus patients (from 17 mm IQR [3-31] to 18 mm [2.5-31]; P = 0.04), and not in diabetic s patients (17.5 mm IQR [8-30] to 18 mm IQR [14-31]; P = 0.70); the systolic pulmonary artery pressure remained unchanged in both groups. During follow-up, a similar rate of ventricular tachyarrhythmias was observed in both groups. The congestion rate decreased significantly in both groups, in diabetes patients (44.4% before sacubitril/valsartan and 13.5% after 24 months treatment; P = 0.0009) and in non-diabetic patients (28.4% before sacubitril/valsartan and 8.4% after 24 months treatment; P = 0.0004). The all-cause mortality rate was higher in patients with diabetes mellitus as compared with those without diabetes (25% vs. 8.1%; P < 0.01).

CONCLUSIONS

Sacubitril/valsartan reverses cardiac remodelling in non-diabetes patients. However, it reduces the congestion rate in diabetes and non-diabetes patients. The rates of ventricular tachyarrhythmias were similar in DM compared with non-DM over follow-up. The mortality rate remained to be over follow-up higher in diabetes patients compared with non-diabetes; however, it was lower compared with published data on diabetes and concomitant HFrEF not treated with sacubitril/valsartan.

Evaluation and Management of Patients With Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement

Diabetes mellitus is a major risk factor for the development of heart failure. Furthermore, the prognosis of heart failure is worse in patients with diabetes mellitus than in those without it. Therefore, early diagnosis and proper management of heart failure in patients with diabetes mellitus are important. This review discusses the current criteria for diagnosis and screening tools for heart failure and the currently recommended pharmacological therapies for heart failure. We also highlight the effects of anti-diabetic medications on heart failure.

Evaluation and Management of Patients with Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement

Diabetes mellitus is a major risk factor for the development of heart failure. Furthermore, the prognosis of heart failure is worse in patients with diabetes mellitus than in those without it. Therefore, early diagnosis and proper management of heart failure in patients with diabetes mellitus are important. This review discusses the current criteria for diagnosis and screening tools for heart failure and the currently recommended pharmacological therapies for heart failure. We also highlight the effects of anti-diabetic medications on heart failure.

Determinants of quality of life in acute heart failure patients with and without comorbidities: a prospective, observational study

AIMS

The relation between non-cardiac comorbidities and health-related quality of life (HRQoL) in patients with heart failure (HF) has been studied to a limited extent. To investigate the HRQoL and their determinants among HF patients with and without comorbidities.

METHODS AND RESULTS

TRIUMPH (TRanslational Initiative on Unique and novel strategies for Management of Patients with Heart failure) is a Dutch prospective, multicentre study enrolling 496 acute HF patients between 2009 and 2014. We included 334 patients who had completed the HRQoL questionnaires at baseline. The HRQoL was measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ) en EuroQuality-of-life five Dimensions (EQ-5D). Comorbidity was defined as having a history of at least one of the following comorbidities: chronic kidney disease, diabetes mellitus, chronic obstructive pulmonary disease (COPD), and/or cerebrovascular accident. Patients with comorbidity (n = 205, 61%) had lower scores on the physical limitation scale and clinical summary score of the KCCQ (P = 0.03 and P = 0.01, respectively). Female sex, COPD, previous HF, increasing body mass index (BMI), elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP), high systolic blood pressure, and the presence of anxiety and/or depression negatively influenced the HRQoL among HF patients with comorbidity. Besides anxiety and depression, we hardly found any other determinant of HRQoL in patients without comorbidity.

CONCLUSION

Heart failure patients without comorbidity had better HRQoL than patients with comorbidity. Sex, previous HF, BMI, COPD, systolic blood pressure, NT-proBNP levels, and also anxiety and depression were determinants of HRQoL in patients with comorbidity. In those without comorbidity, apart from anxiety and depression, no further determinants of HRQoL were found.

Management of heart failure and type 2 diabetes mellitus: Maximizing complementary drug therapy

Type 2 diabetes mellitus (T2DM) is a major risk factor for cardiovascular disease and occurs in ~25% of patients with heart failure (HF). Patients with co-morbid HF and T2DM are at elevated risk of adverse outcomes, making optimization of complementary drug therapies essential. While research is ongoing, recent advances in drug therapy, including the introduction of sacubitril/valsartan for HF with reduced ejection fraction and the finding of positive cardiovascular effects of glucose-lowering agents (particularly sodium-glucose co-transporter-2 [SGLT2] inhibitors) have the potential to transform pharmacologic management of co-morbid HF and T2DM. In this review, we provide a comprehensive overview of cardiovascular clinical trials of therapies for HF and diabetes mellitus to date and identify areas requiring further investigation. We also discuss the pathophysiologic overlap of the two diseases and explore the complementary therapeutic effects of HF and T2DM drugs, with a particular focus on sacubitril/valsartan and SGLT2 inhibitors.

Association of Diabetes Mellitus on Cardiac Remodeling, Quality of Life, and Clinical Outcomes in Heart Failure With Reduced and Preserved Ejection Fraction

Background

Diabetes mellitus frequently coexists with heart failure (HF), but few studies have compared the associations between diabetes mellitus and cardiac remodeling, quality of life, and clinical outcomes, according to HF phenotype.

Methods and Results

We compared echocardiographic parameters, quality of life (assessed by the Kansas City Cardiomyopathy Questionnaire), and outcomes (1‐year all‐cause mortality, cardiovascular mortality, and HF hospitalization) between HF patients with and without type 2 diabetes mellitus in the prospective ASIAN‐HF (Asian Sudden Cardiac Death in Heart Failure) Registry, as well as community‐based controls without HF. Adjusted Cox proportional hazards models were used to assess the association of diabetes mellitus with clinical outcomes. Among 5028 patients with HF and reduced ejection fraction (HFrEF; EF <40%) and 1139 patients with HF and preserved EF (HFpEF; EF ≥50%), the prevalences of type 2 diabetes mellitus were 40.2% and 45.0%, respectively (P=0.003). In both HFrEF and HFpEF cohorts, diabetes mellitus (versus no diabetes mellitus) was associated with smaller indexed left ventricular diastolic volumes and higher mitral E/e′ ratio. There was a predominance of eccentric hypertrophy in HFrEF and concentric hypertrophy in HFpEF. Patients with diabetes mellitus had lower Kansas City Cardiomyopathy Questionnaire scores in both HFpEF and HFrEF, with more prominent differences in HFpEF (P_interaction<0.05). In both HFpEF and HFrEF, patients with diabetes mellitus had more HF rehospitalizations (adjusted hazard ratio, 1.27; 95% CI, 1.05–1.54; P=0.014) and higher 1‐year rates of the composite of all‐cause mortality/HF hospitalization (adjusted hazard ratio, 1.22; 95% CI, 1.05–1.41; P=0.011), with no differences between HF phenotypes (P_interaction>0.05).

Conclusions

In HFpEF and HFrEF, type 2 diabetes mellitus is associated with smaller left ventricular volumes, higher mitral E/e′ ratio, poorer quality of life, and worse outcomes, with several differences noted between HF phenotypes.

Clinical Trial Registration

URL: http://www.clinicaltrials.gov. Unique identifier: NCT01633398.

Comorbidity health pathways in heart failure patients: A sequences-of-regressions analysis using cross-sectional data from 10,575 patients in the Swedish Heart Failure Registry

BACKGROUND

Optimally treated heart failure (HF) patients often have persisting symptoms and poor health-related quality of life. Comorbidities are common, but little is known about their impact on these factors, and guideline-driven HF care remains focused on cardiovascular status. The following hypotheses were tested: (i) comorbidities are associated with more severe symptoms and functional limitations and subsequently worse patient-rated health in HF, and (ii) these patterns of association differ among selected comorbidities.

METHODS AND FINDINGS

The Swedish Heart Failure Registry (SHFR) is a national population-based register of HF patients admitted to >85% of hospitals in Sweden or attending outpatient clinics. This study included 10,575 HF patients with patient-rated health recorded during first registration in the SHFR (1 February 2008 to 1 November 2013). An a priori health model and sequences-of-regressions analysis were used to test associations among comorbidities and patient-reported symptoms, functional limitations, and patient-rated health. Patient-rated health measures included the EuroQol-5 dimension (EQ-5D) questionnaire and the EuroQol visual analogue scale (EQ-VAS). EQ-VAS score ranges from 0 (worst health) to 100 (best health). Patient-rated health declined progressively from patients with no comorbidities (mean EQ-VAS score, 66) to patients with cardiovascular comorbidities (mean EQ-VAS score, 62) to patients with non-cardiovascular comorbidities (mean EQ-VAS score, 59). The relationships among cardiovascular comorbidities and patient-rated health were explained by their associations with anxiety or depression (atrial fibrillation, odds ratio [OR] 1.16, 95% CI 1.06 to 1.27; ischemic heart disease [IHD], OR 1.20, 95% CI 1.09 to 1.32) and with pain (IHD, OR 1.25, 95% CI 1.14 to 1.38). Associations of non-cardiovascular comorbidities with patient-rated health were explained by their associations with shortness of breath (diabetes, OR 1.17, 95% CI 1.03 to 1.32; chronic kidney disease [CKD, OR 1.23, 95% CI 1.10 to 1.38; chronic obstructive pulmonary disease [COPD], OR 95% CI 1.84, 1.62 to 2.10) and with fatigue (diabetes, OR 1.27, 95% CI 1.13 to 1.42; CKD, OR 1.24, 95% CI 1.12 to 1.38; COPD, OR 1.69, 95% CI 1.50 to 1.91). There were direct associations between all symptoms and patient-rated health, and indirect associations via functional limitations. Anxiety or depression had the strongest association with functional limitations (OR 10.03, 95% CI 5.16 to 19.50) and patient-rated health (mean difference in EQ-VAS score, -18.68, 95% CI -23.22 to -14.14). HF optimizing therapies did not influence these associations. Key limitations of the study include the cross-sectional design and unclear generalisability to other populations. Further prospective HF studies are required to test the consistency of the relationships and their implications for health.

CONCLUSIONS

Identification of distinct comorbidity health pathways in HF could provide the evidence for individualised person-centred care that targets specific comorbidities and associated symptoms.

Impact of diabetes mellitus and its complications: survival and quality-of-life in critically ill patients

PURPOSE

Diabetes mellitus represents an increasing problem for patients and health care systems worldwide. We sought to investigate the effect of diabetes and its associated comorbidities on long-term survival and quality of life following an admission to a medical intensive care unit (ICU).

METHODS

A total of 6662 consecutive patients admitted to ICU between 2004 and 2009 were included (patients with diabetes n=796, non-diabetic patients n=5866). The primary endpoint of the study was death of any cause. Data on mortality was collected upon review of medical records or phone interviews. Moreover, a questionnaire was sent to 500 randomly selected patients addressing Health related Quality of Life (HrQoL) after ICU treatment.

RESULTS

Overall mortality did not differ significantly between diabetic and non-diabetic patients after ICU treatment (mean follow-up time: 490 days). For a subgroup of patients already exhibiting comorbidities associated with diabetes, the mortality rate was significantly higher (p=0.022). Regarding quality of life, no differences were found between groups.

CONCLUSIONS

Diabetes was not associated with increased mortality or reduced quality of life in a general population of medical ICU patients. However, once comorbidities associated with diabetes occurred, the survival rate of patients with comorbidities associated with hyperglycemia was significantly reduced.

Management of heart failure with preserved ejection fraction in a local public hospital in Hong Kong

BACKGROUND

Heart failure (HF) is one of the most debilitating chronic illnesses. The prevalence is expected to increase due to aging population. The current study aimed to examine the management of heart failure with preserved ejection fraction (HFpEF) including drug use pattern, direct medical cost and humanistic outcome in a local public hospital in Hong Kong.

METHODS

The current study adopted the retrospective observational study design. Subjects were recruited from the Heart Failure Registry of the Prince of Wales Hospital in Hong Kong between 2006 and 2008 and completed the Minnesota Living with Heart Failure Questionnaire (MLHFQ) at 3 designated time-points conferred eligibility. Patients with significant valvular disorder were excluded. Each patient's medical record was reviewed for 12 months after the date of admission. Heart failure related admissions, clinic visits, cardiovascular drugs, laboratory tests and diagnostic tests were documented. Costs and MLHFQ scores in patients with or without hypertension, diabetes and renal impairment were compared.

RESULTS

A total of 73 HFpEF patients were included. It was found that loop diuretics (93.1%, 78.1%) was the most frequently used agent for HFpEF management in both in-patient and out-patient settings. The mean 1-year direct medical cost was USD$ 19969 (1 US $ = 7.8 HK$), with in-patient ward care contributing to the largest proportion (72.2%) of the total cost. Patients with diabetes or renal impairment were associated with a higher cost of HFpEF management. Significant difference was found in the renal impairment group (median cost: USD$ 24604.2 versus USD$ 12706.8 in no impairment group, p = 0.023). The MLHFQ scores of the subjects improved significantly during the study period (p < 0.0005).

CONCLUSIONS

The cost of management of HFpEF was enormous and further increased in the presence of comorbidities.

The independent effect of body mass index on health-related quality of life among racial and ethnic subgroups

PURPOSE

To evaluate the impact of race/ethnicity on the relationship between body mass index (BMI) and health-related quality of life (HRQOL) among blacks, Hispanics, and whites.

METHODS

We used the Sinai Urban Health Institute's Improving Community Health Survey dataset to measure physical and mental HRQOL using the Physical Component Score (PCS-12) and the Mental Component Score (MCS-12) of the Short Form-12. Multivariate linear regression models were applied to the overall sample and in models stratified by race/ethnicity to evaluate the effects of BMI on physical and mental HRQOL outcome variables while controlling for confounders.

RESULTS

Considering physical HRQOL, increasing BMI was independently associated with worse PCS-12 (β = -0.22, p value <0.001) in the overall sample; the magnitude was not significantly different across racial/ethnic subgroups (blacks: β = -0.18, p value = 0.02; Hispanics: β = -0.28, p value = 0.01; whites: β = -0.20, p value = 0.02). Overall, Hispanic participants reported a worse PCS-12 compared to whites (β = -3.06, p value = 0.002). Considering mental HRQOL, BMI was not significantly associated with MCS-12 in the overall sample (β = -0.06, p value = 0.21) nor was BMI significantly associated with MCS-12 in any racial/ethnic subgroups. Overall, black participants reported better MCS-12 compared to whites (β = 2.51, p value = 0.001).

CONCLUSIONS

BMI was associated with worse physical HRQOL to a similar degree among blacks, Hispanics, and whites. This finding suggests that interventions leading to obesity reduction should be associated with substantial and equal improvements in the physical HRQOL of all race/ethnicity groups.

The additive effects of type-2 diabetes on cognitive function in older adults with heart failure

Background. Medical comorbidity has been theorized to contribute to cognitive impairment in heart failure (HF) patients. Specifically, type-2 diabetes mellitus (T2DM), a common coexisting condition among HF patients, may be an independent predictor of cognitive impairment. Nonetheless, the relationships between T2DM and other risk factors for cognitive impairment among persons with HF are unclear. Methods. Persons with HF (N = 169, 34.3% women, age 68.57 ± 10.28 years) completed neuropsychological testing within a framework of an ongoing study. History of T2DM, along with other medical characteristics, was ascertained through a review of participants' medical charts and self-report. Results. Many participants (34.9%) had a comorbid T2DM diagnosis. After adjustment for demographic and medical characteristics, HF patients with T2DM evidenced significantly greater impairments across multiple cognitive domains than HF patients without T2DM: λ = .92, F(5, 156) = 2.82, P = .018. Post hoc tests revealed significant associations between T2DM and attention (P = .003), executive function (P = .032), and motor functioning (P = .008). Conclusion. The findings suggest additive contributions of T2DM and HF to impairments in attention, executive function, and motor function. Future work is needed to elucidate the mechanisms by which T2DM exacerbates cognitive impairment in HF.