Is quality of life different between diabetic and non-diabetic people? The importance of cardiovascular risks

Determinants of Health-Related Quality of Life in Outpatients with Myocardial Infarction

Background

The health-related quality of life (HRQOL) of patients with myocardial infarction (MI) is suboptimal because of the disease's life-threatening nature, the requirement for long-term lifestyle modifications, and the treatment regimens following MI. This study aimed to evaluate HRQOL and its associated factors in MI patients.

Material and Methods

This study was conducted on patients with MI who attended the outpatient cardiology clinic at a major teaching hospital in Jordan. The EQ-5D-3L questionnaire was used to assess HRQOL of the study participants. Quantile regression analysis was conducted to identify the variables associated with HRQOL.

Results

The study included 333 patients with a history of MI, with a median age of 58 (57-60). The median of the total EQ-5D score was 0.65 (0.216-0.805). Regression results revealed that male patients (Coefficient= 0.110, 95%Cl (0.022-0.197), P=0.014) and not being diagnosed with diabetes (Coefficient= 0.154, 95%Cl (0.042-0.266), P=0.007) were associated with increased HRQOL. On the other hand, low income (Coefficient= -0.115, 95%Cl (-0.203 - -0.026), P=0.011), not receiving DPP-4 (Dipeptidyl Peptidase -4) inhibitors (Coefficient= -0.321 95%Cl (-0.462 - -0.180), P<0.001), and having low (Coefficient= -0.271, 95%Cl (-0.395 - -0.147), P<0.001) or moderate (Coefficient= -0.123, 95%Cl (-0.202 - -0.044), P=0.002) medication adherence was associated with decreased HRQOL.

Conclusion

The current study demonstrated diminished HRQOL among patients with MI, highlighting the necessity of tailoring interventions to tackle medication adherence barriers in this population. Personalized interventions such as educational programs, counseling, and reminders that consider each patient's needs and circumstances can greatly enhance medication adherence and, thus, the HRQOL of MI patients. Individuals with lower income levels, female patients, and those with diabetes should be the specific targets of these interventions.

Prevalence trends of type 1 and type 2 diabetes in children and adolescents in North Rhine-Westphalia, the most populous federal state in Germany, 2002-2020

AIMS

To estimate the prevalence and temporal trends of type 1 and type 2 diabetes mellitus in children and adolescents (type 1 diabetes: 0-19 years, type 2 diabetes: 10-19 years) in North Rhine-Westphalia (NRW), Germany, from 2002 to 2020.

METHODS

The NRW Diabetes Registry records new cases based on three data sources (median completeness of ascertainment 99% for type 1 diabetes, 94% for type 2 diabetes). We determined age- and/or sex-standardized prevalence estimates (95% confidence intervals) per 100,000 individuals. Differences in age and sex, as well as time trends, were examined by Poisson regression. Furthermore, joinpoint regression was used to evaluate changes in prevalence trends over time.

RESULTS

At the end of 2020, the estimated type 1 diabetes prevalence was 247.1 (240.3; 253.9) with an annual increase of 2.9% (2.7%; 3.1%). The type 2 diabetes prevalence was 12.7 (10.6; 14.9) and increased by 6.4% (5.6%; 7.3%) per year. The prevalence trends were not uniform over the total period and flattened considerably in recent years.

CONCLUSIONS

The prevalence of type 1 and type 2 diabetes has increased significantly but at a lower rate in recent years. Continued surveillance of the prevalence is essential for the planning of health care resources and prevention measures.

Association of multimorbidity and changes in health-related quality of life following myocardial infarction: a UK multicentre longitudinal patient-reported outcomes study

BACKGROUND

Multimorbidity is prevalent for people with myocardial infarction (MI), yet previous studies investigated single-health conditions in isolation. We identified patterns of multimorbidity in MI survivors and their associations with changes in HRQoL.

METHODS

In this national longitudinal cohort study, we analysed data from 9566 admissions with MI from 77 National Health Service hospitals in England between 2011 and 2015. HRQoL was measured using EuroQol 5 dimension (EQ5D) instrument and visual analogue scale (EQVAS) at hospitalisation, 6, and 12 months following MI. Latent class analysis (LCA) of pre-existing long-term health conditions at baseline was used to identify clusters of multimorbidity and associations with changes in HRQoL quantified using mixed effects regression analysis.

RESULTS

Of 9566 admissions with MI (mean age of 64.1 years [SD 11.9], 7154 [75%] men), over half (5119 [53.5%] had multimorbidities. LCA identified 3 multimorbidity clusters which were severe multimorbidity (591; 6.5%) with low HRQoL at baseline (EQVAS 59.39 and EQ5D 0.62) which did not improve significantly at 6 months (EQVAS 59.92, EQ5D 0.60); moderate multimorbidity (4301; 47.6%) with medium HRQoL at baseline (EQVAS 63.08, EQ5D 0.71) and who improved at 6 months (EQVAS 71.38, EQ5D 0.76); and mild multimorbidity (4147, 45.9%) at baseline (EQVAS 64.57, EQ5D 0.75) and improved at 6 months (EQVAS 76.39, EQ5D 0.82). Patients in the severe and moderate groups were more likely to be older, women, and presented with NSTEMI. Compared with the mild group, increased multimorbidity was associated with lower EQ-VAS scores (adjusted coefficient: -5.12 [95% CI -7.04 to -3.19] and -0.98 [-1.93 to -0.04] for severe and moderate multimorbidity, respectively. The severe class was more likely than the mild class to report problems in mobility, OR 9.62 (95% confidence interval: 6.44 to 14.36), self-care 7.87 (4.78 to 12.97), activities 2.41 (1.79 to 3.26), pain 2.04 (1.50 to 2.77), and anxiety/depression 1.97 (1.42 to 2.74).

CONCLUSIONS

Among MI survivors, multimorbidity clustered into three distinct patterns and was inversely associated with HRQoL. The identified multimorbidity patterns and HRQoL domains that are mostly affected may help to identify patients at risk of poor HRQoL for which clinical interventions could be beneficial to improve the HRQoL of MI survivors.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01808027 and NCT01819103.

Epidemiology and Economic Burden of Cardiovascular Disease in Patients with Type 2 Diabetes Mellitus in Spain: A Systematic Review

INTRODUCTION

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in people with type 2 diabetes mellitus (T2DM). The objectives of this systematic literature review were to identify and synthesize published data describing the epidemiology and mortality of CVD in the T2DM population and the associated economic burden.

METHODS

We conducted a systematic review searching the PubMed and MEDES databases from 2009 to 2019 using predefined selection criteria. Peer-reviewed observational studies reporting primary or secondary data on CVD prevalence, incidence, mortality, resource use and costs in patients with T2DM in Spain, written in English and Spanish, were included. Data were tabulated and summarized descriptively.

RESULTS

Of 706 articles identified, 52 were included in the review. Most studies were based on data from hospital discharge databases and registries. The reported prevalence of CVD among patients with T2DM ranged from 6.9 to 40.8%. The prevalence of coronary heart disease ranged from 4.7 to 37%, stroke from 3.5 to 19.6%, peripheral artery disease from 2.5 to 13.0%, and heart failure from 4.3 to 20.1%. In-hospital CVD mortality rates ranged from 5.6 to 10.8%. Direct costs due to CVD in hospitalized patients with T2DM were increased (> 50%) compared with patients without CVD. No studies analysed indirect costs of CVD in patients with T2DM.

CONCLUSIONS

The burden of CVD among patients with T2DM, combined with the elevated costs of care, highlights the importance of early prevention as part of integrated management of the disease to improve clinical and economic outcomes.

A case-control study of pattern and determinants of quality of life of patients with diabetes in a developing country

Background

Globally, diabetes is a leading cause of impairment of quality of life. In the sub-Saharan African region, there is a need for studies that provide more valid assessment of effect of diabetes on quality of life (QoL). This study aimed at assessing quality of life among patients with diabetes attending a tertiary health service in Nigeria.

Methods

The study design was a case-control. Diabetic cases were randomly recruited from the University of Calabar Teaching Hospital, while non-diabetic controls were civil servants and retirees. The validated and pretested WHOQoL-BREF instrument was used to assess quality of life, with higher scores indicating higher quality of life.

Results

Three hundred and thirty subjects were studied, with mean ages of males and females of 55.2 ± 4.8 and 51.8 ± 6.3 years, respectively. The mean total QoL score was 75.77 ± 11.2, with no significant difference between males and females. Among male and female cases, the mean score of the physical health domain was significantly lower for cases compared with controls (p = 0.05). Male cases compared with controls had higher scores for the environment domain (p < 0.05). Older age and higher systemic blood pressure were associated with lower QoL scores for both sexes (p < 0.05). Unmarried status, obesity, and poor glycemic control (HbA1c > 7%) were associated with lower QoL scores (p < 0.05). Fasting blood sugar (FBS) level and lipid profile were not significantly correlated with QoL score in both sexes (p > 0.05).

Conclusion

Diabetes contributes to low quality of life among males and females, with significant differences in the affected domains. Diabetes care providers should identify affected domains during clinic consultation, in order to improve provision of more effective care.

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.

Social environment and quality of life among older people with diabetes and multiple chronic illnesses in New Zealand: Intermediary effects of psychosocial support and constraints

Purpose: In older people with diabetes, multimorbidity is highly prevalent and it can lead to poor quality of life. The overall purpose of this study was to examine the association between the social environment, psychosocial support and constraints, and overall quality of life among older people with and without with diabetes and multiple chronic illnesses.Methods: Self-reported data from participants in a cohort study of older New Zealanders was analysed. Responses from 380 older people diagnosed with diabetes and multiple chronic illnesses were compared with 527 older people with no health issues on indicators related to the associations of neighbourhood, health and ageing, using structural equation modelling.Results: The final model suggests that social provision, purpose in life and capabilities mediated between the social environment and quality of life, indicate that older people with positive social environment (i.e., neighbourhood advantage, residential stability) are much less likely to experience depression due to having good social support, meaningful life purpose and opportunities to engage.Conclusions: Perceived neighbourhood advantages, such as positive neighbourhood qualities, social cohesion and housing satisfaction, along with the focus on increasing social support, enhancing purpose in life and supporting one's capability to achieve, may serve as protective factors against depression.IMPLICATIONS FOR REHABILITATIONEnvironmental and personal circumstances can contribute to quality of life among older people with diabetes and multimorbidity.By providing older people with diabetes and multiple chronic illnesses a socially just environment that challenges ageism and other forms of oppression, this could reduce social disparities in health, improve inclusion and access to resources.Social and healthcare professionals are encouraged to design clinical care guidelines and rehabilitation goals from a wholistic and person/client centred approach to support older people with diabetes and multiple chronic illnesses.

Incidence and costs of cardiovascular events in Spanish patients with type 2 diabetes mellitus: a comparison with general population, 2015

INTRODUCTION

Cardiovascular (CV) disease affects a high percentage of patients with type 2 diabetes mellitus (T2DM), especially in the hospital setting, impacting on mortality, complications, quality of life and use of health resources. The aim of this study was to estimate the incidence, mean length of hospital stay (LOHS) and costs attributable to hospital admissions due to CV events in patients with T2DM versus patients without diabetes mellitus (non-DM) in Spain.

RESEARCH DESIGN AND METHODS

Retrospective observational study based on the Spanish National Hospital Discharge Database for 2015. Hospital admissions for patients aged ≥35 years with a diagnosis of CV death, non-fatal acute myocardial infarction (AMI), non-fatal stroke, unstable angina, heart failure and revascularization were evaluated. The International Classification of Diseases, Ninth Revision (250.x0 or 250.x2) coding was used to classify records of patients with T2DM. For each CV complication, the hospital discharges of the two groups, T2DM and non-DM, were precisely matched and the number of hospital discharges, patients, LOHS and mean cost were quantified. Additional analyses assessed the robustness of the results.

RESULTS

Of the 276 925 hospital discharges analyzed, 34.71% corresponded to patients with T2DM. A higher incidence was observed in all the CV complications studied in the T2DM population, with a relative risk exceeding 2 in all cases. The mean LOHS (days) was longer in the T2DM versus the non-DM group for: non-fatal AMI (7.63 vs 7.02, p<0.001), unstable angina (5.11 vs 4.78, p=0.009) and revascularization (7.96 vs 7.57, p<0.001). The mean cost per hospital discharge was higher in the T2DM versus the non-DM group for non-fatal AMI (€6891 vs €6876, p=0.029) and unstable angina (€3386 vs €3304, p<0.001).

CONCLUSIONS

Patients with T2DM had a higher incidence and number of hospital admissions per patient due to CV events versus the non-DM population. This generates a significant clinical and economic burden given the longer admission stay and higher costs associated with some of these complications.