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Background
Comorbidities such as Type 2 diabetes mellitus significantly and adversely influence heart failure outcomes, especially in Black adult populations. Likewise, heart failure has a negative effect on diabetes and cardiometabolic outcomes. Dyspnea, a common symptom of heart failure, often correlates with disease severity and prognosis. However, the relationship between comorbid diabetes, dyspnea severity, and cardiometabolic biomarkers in Black adults with heart failure remains understudied.
Objectives
The purpose of this pilot study was to examine differences in the distressing heart failure symptom of dyspnea and in cardiometabolic and inflammatory biomarkers in Black adults living with heart failure with and without diabetes.
Methods
Black adults with heart failure were enrolled in this cross-sectional pilot study. Cardiometabolic and inflammatory biomarkers were measured via multiplex immunoassay. Univariate general liner models were used to identify group differences between persons with heart failure with comorbid diabetes and those without, controlling for age, sex, and comorbid burden.
Results
Participants were mostly female with a mean age of 55 years and mean left ventricular ejection fraction of 33%. Participants with diabetes exhibited higher dyspnea scores compared to those without diabetes, indicating greater symptom burden. Moreover, individuals with comorbid diabetes demonstrated higher levels of cardiometabolic and inflammatory markers.
Discussion
Comorbid diabetes was associated with higher dyspnea severity and adverse cardiometabolic profiles in Black adults with heart failure. These findings underscore the importance of targeted interventions addressing diabetes management and cardiometabolic risk factors to improve symptom control and outcomes in this high-risk population. Further research is warranted to elucidate the underlying mechanisms and develop tailored therapeutic strategies for managing comorbidities in persons with heart failure, particularly in minoritized communities. Background
Fatigue is a highly prevalent symptom for individuals with polycystic ovary syndrome (PCOS); however, characterization of fatigue and investigation into the gut microbiome—a pathway that may contribute to fatigue—remains inadequately explored in Black women with PCOS.
Objectives
The purpose of this cross-sectional study was to examine fatigue and its relationship to the gut microbiome in adult Black women with PCOS.
Methods
Adult Black women with a diagnosis of PCOS were recruited for this cross-sectional study. The Multidimensional Fatigue Inventory-20 (MFI-20) and the PROMIS Fatigue Short Form were used to measure fatigue. The V3/V4 region of the bacterial 16S rRNA gene was sequenced to investigate gut microbial composition. Relative abundance and diversity values were calculated.
Results
We found that Black women with PCOS experience mild to moderate levels of fatigue. An inverse relationship between fatigue scores and alpha diversity values was found for the gut microbiome. We also found distinct beta diversity profiles based on fatigue. Lastly, when controlling for hypertension and body mass index, Ruminococcus bromii, Blautia obeum, Roseburia, and HT002 were associated with three subscales of the MFI-20.
Discussion
Black women with PCOS experience mild to moderate fatigue. Clinicians should be cognizant of this population’s increased risk for fatigue to adequately address their healthcare needs. We also found that gut microbial composition was associated with fatigue in Black women with PCOS. Specifically, a higher relative abundance of certain gut bacteria involved in short-chain fatty acid production and anti-inflammatory pathways was correlated with lower fatigue levels. Future studies should further investigate the link between the gut microbiome and fatigue to determine whether this relationship is causal as better insight could inform tailored diet and exercise interventions to alter the gut microbiome and reduce fatigue. Background
Patients with multiple chronic conditions often have many care plans, polypharmacy, and unrelieved symptoms that contribute to high emergency department and hospital use. High-quality primary care delivered in practices that employ nurse practitioners can help prevent the need for such acute care services. However, such practices located in primary care health professional shortage areas face challenges caring for these patients because of higher workloads and fewer resources.
Objective
We examined differences in hospitalization and emergency department use among patients with multiple chronic conditions who receive care from practices that employ nurse practitioners in health professional shortage areas compared to practices that employ nurse practitioners in non-health professional shortage areas.
Methods
We performed an analysis of Medicare claims, merged with Health Resources and Services Administration data on health professional shortage area status in five states. Our sample included 394,424 community-dwelling Medicare beneficiaries aged ≥65 years, with at least two of 15 common chronic conditions who received care in 779 practices that employ nurse practitioners. We used logistic regression to assess the relationship between health professional shortage area status and emergency department visits or hospitalizations.
Results
We found a higher likelihood of emergency department visits among patients in health professional shortage areas compared to those in non-health professional shortage areas and no difference in the likelihood of hospitalization.
Discussion
Emergency department use differences exist among older adults with multiple chronic conditions receiving care in practices that employ nurse practitioners in health professional shortage areas, compared to those in non-health professional shortage areas. To address this disparity, the health professional shortage area program should invest in recruiting and retaining nurse practitioners to health professional shortage areas to ease workforce shortages. Background
Living with two or more chronic conditions simultaneously—known as multimorbidity—has become increasingly prevalent as the aging population continues to grow. However, the factors that influence the development of multimorbidity are still not fully understood.
Objectives
The purpose of this study was to investigate the prevalence of multimorbidity among U.S. adults 50 years and older and identify associated factors with multimorbidity.
Methods
We used data from four cycles from the National Health and Nutrition Examination Survey (2011–2018) to examine the associations between social determinants of health and multimorbidity among American adults aged 50 years and older. A set of variables on socioeconomic status and health behaviors was chosen based on the social determinants of health conceptual framework developed by the World Health Organization. In our study, 4,552 participants were included. All analyses were accounted for a complex survey design and the use of survey weights. Multiple logistic regression analyses were performed to examine the associated factors with multimorbidity.
Results
The average age was 63.1 years, and 52.9% were female. The average number of chronic conditions was 2.27. The prevalence of multimorbidity was 63.8%, with high cholesterol and hypertension being the most prevalent conditions. In the adjusted model, age, gender, household income, citizenship status, health insurance, healthcare access, body mass index, and smoking status were found to be associated with living with multimorbidity.
Discussion
Our results indicate that continued efforts aimed at promoting smoking cessation and maintaining a healthy weight will be beneficial in preventing the onset of chronic conditions. Additional research is warranted to gain a deeper understanding of the interrelationships between gender, race/ethnicity, household income, citizenship status, health insurance, and healthcare access as social determinants of health in the context of multimorbidity. Further research will help us develop targeted interventions and policies to address disparities and improve health outcomes for individuals with multimorbidity. Background
Fatigue, a prevalent complex symptom among patients with chronic obstructive pulmonary disease (COPD), is considered an important clinical indicator of disease severity. However, the underlying mechanisms of COPD-related fatigue are not fully understood.
Objectives
This analysis explored the relationships between peripheral inflammatory markers and COPD-related fatigue in people with moderate to severe COPD.
Methods
This is a secondary analysis of a longitudinal observational study of individuals with COPD examining the biological causes and functional consequences of depression. The data used in this study were collected at baseline. Systemic inflammation markers included C-reactive protein (CRP) and three pro-inflammatory cytokines consisting of interleukin-6 (IL-6), IL-8, and tumor necrosis factor-α. COPD-related fatigue was self-reported using the Chronic Respiratory Questionnaire. Covariates included age; gender; smoking status; disease severity; symptoms of depression, anxiety, and pain; and social support. Multivariable linear regression analyses were conducted.
Results
The sample included 300 adults living with COPD; 80% were male, and the average age was 67.6 years. Modest correlations were found between two systemic inflammatory markers (CRP and IL-8) and COPD-related fatigue. CRP was the only inflammatory marker significantly associated with fatigue symptoms after adjusting for covariates in multivariable analyses. Depression, pain, and education level were also significant predictors of COPD-related fatigue.
Discussion
The findings suggest that altered immune response based on CRP may contribute to COPD-related fatigue. Management of depression and pain may work as an effective treatment strategy for COPD-related fatigue. Further longitudinal studies with a broader range of inflammatory markers and multidimensional measures of fatigue symptoms are warranted. Background
Early palliative care (PC) has received more attention for improving health-related outcomes for advanced cancer patients in recent years, but the results of previous studies are inconsistent.
Objectives
This study aimed to use meta-analysis and trial sequence analysis to evaluate the effect of early PC on health-related outcomes of advanced cancer patients.
Methods
All English publications were searched in PubMed, Web of Science, Embase, and the Cochrane Library from inception to March 2023, with a restriction that the study type was a randomized controlled trial.
Results
The results showed that early PC positively affected quality of life, satisfaction with care, and symptom burden reduction. However, early PC had no significant effect on anxiety or survival. Trial sequence analysis results showed that the effect of early PC on the quality of life was stable.
Discussion
This systematic review suggested that early PC could positively affect health-related outcomes for advanced cancer patients. Early PC can be used widely in clinical settings to improve health-related outcomes of advanced cancer. However, because of the trial sequence analysis results, further well-designed, clinical, randomized controlled trials with larger sample sizes are necessary to draw definitive conclusions. 
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