Rhonda BeLue

Incident Heart Failure Prediction in the Elderly The Health ABC Heart Failure Score

Background— Despite the rising heart failure (HF) incidence and aging United States population, there are no validated prediction models for incident HF in the elderly. We sought to develop a new prediction model for 5-year risk of incident HF among older persons. Methods and Results— Proportional hazards models were used to assess independent predictors of incident HF, defined as hospitalization for new-onset HF, in 2935 elderly participants without baseline HF enrolled in the Health ABC study (age, 73.6±2.9 years, 47.9% males, 58.6% whites). A prediction equation was developed and internally validated by bootstrapping, allowing the development of a 5-year risk score. Incident HF developed in 258 (8.8%) participants during 6.5±1.8 years of follow-up. Independent predictors of incident HF included age, history of coronary disease and smoking, baseline systolic blood pressure and heart rate, serum glucose, creatinine, and albumin levels, and left ventricular hypertrophy. The Health ABC HF model had a c -statistic of 0.73 in the derivation dataset, 0.72 by internal validation (optimism-corrected), and good calibration (goodness-of-fit χ2 6.24, P =0.621). A simple point score was created to predict incident HF risk into 4 risk groups corresponding to 20% 5-year risk. The actual 5-year incident HF rates in these groups were 2.9%, 5.7%, 13.3%, and 36.8%, respectively. Conclusion— The Health ABC HF prediction model uses common clinical variables to predict incident HF risk in the elderly, an approach that may be used to target and treat high-risk individuals. Received January 24, 2008; accepted May 19, 2008.Background—Despite the rising heart failure (HF) incidence and aging United States population, there are no validated prediction models for incident HF in the elderly. We sought to develop a new prediction model for 5-year risk of incident HF among older persons. Methods and Results—Proportional hazards models were used to assess independent predictors of incident HF, defined as hospitalization for new-onset HF, in 2935 elderly participants without baseline HF enrolled in the Health ABC study (age, 73.6±2.9 years, 47.9% males, 58.6% whites). A prediction equation was developed and internally validated by bootstrapping, allowing the development of a 5-year risk score. Incident HF developed in 258 (8.8%) participants during 6.5±1.8 years of follow-up. Independent predictors of incident HF included age, history of coronary disease and smoking, baseline systolic blood pressure and heart rate, serum glucose, creatinine, and albumin levels, and left ventricular hypertrophy. The Health ABC HF model had a c-statistic of 0.73 in the derivation dataset, 0.72 by internal validation (optimism-corrected), and good calibration (goodness-of-fit &khgr;2 6.24, P=0.621). A simple point score was created to predict incident HF risk into 4 risk groups corresponding to <5%, 5% to 10%, 10% to 20%, and >20% 5-year risk. The actual 5-year incident HF rates in these groups were 2.9%, 5.7%, 13.3%, and 36.8%, respectively. Conclusion—The Health ABC HF prediction model uses common clinical variables to predict incident HF risk in the elderly, an approach that may be used to target and treat high-risk individuals.

Outpatient adherence to beta-blocker therapy after acute myocardial infarction

OBJECTIVES This study was designed to determine adherence to outpatient beta-blocker therapy following acute myocardial infarction (AMI). BACKGROUND The importance of beta-blocker therapy after AMI is widely recognized. Outpatient adherence with this recommendation, however, is not well described. METHODS Data on 846 patients surviving AMI were studied. Factors associated with filling a beta-blocker prescription within 30 days postdischarge and the proportion of patients who were or were not discharged on beta-blockers who filled prescriptions for them by 30, 180, and 365 days post-AMI discharge were assessed. RESULTS Patients with a discharge order for beta-blocker therapy were more likely to fill a prescription in the first 30 days postdischarge (hazard ratio [HR] 15.82, 95% confidence interval [CI], 10.75 to 23.26). Patients older than age 75 years were less likely than those age <65 years to fill a prescription (HR 0.63, 95% CI 0.42 to 0.93). Gender, race, and being an ideal candidate did not affect beta-blocker use. Among patients who were discharged on beta-blockers, 85% of survivors had filled a prescription by 30 days postdischarge, and 63% and 61% were current users at 180 and 365 days, respectively. In contrast, only 8% of those patients with no discharge order for beta-blockers had filled such a prescription by 30 days, and 13% and 12% of patients were current users at 180 and 365 days, respectively. CONCLUSIONS Patients not discharged on beta-blockers are unlikely to be started on them as outpatients. For patients who are discharged on beta-blockers after AMI, there is a significant decline in use after discharge. Quality improvement efforts need to be focused on improving discharge planning and to continue these efforts after discharge.

Further validation of the Multidimensional Fatigue Inventory in a US adult population sample

BackgroundThe Multidimensional Fatigue Inventory (MFI-20) was developed in 1995. Since then, it has been widely used in cancer research and cancer-related illnesses but has never been validated in fatiguing illnesses or in a large US population-selected sample. In this study, we sought to examine the reliability and validity of the MFI-20 in the population of the state of Georgia, USA. Further, we assessed whether the MFI-20 could serve as a complementary diagnostic tool in chronically fatigued and unwell populations.MethodsThe data derive from a cross-sectional population-based study investigating the prevalence of chronic fatigue syndrome (CFS) in Georgia. The study sample was comprised of three diagnostic groups: CFS-like (292), chronically unwell (269), and well (222). Participants completed the MFI-20 along with several other measures of psychosocial functioning, including the Medical Outcomes Survey Short Form-36 (SF-36), the Zung Self-Rating Depression Scale (SDS), and the Spielberger State-Trait Anxiety Inventory (STAI). We assessed the five MFI-20 subscales using several criteria: inter-item correlations, corrected item-total correlations, internal consistency reliability (Cronbachs alpha coefficients), construct validity, discriminant (known-group) validity, floor/ceiling effects, and convergent validity through correlations with the SF-36, SDS, and STAI instruments.ResultsAveraged inter-item correlations ranged from 0.38 to 0.61, indicating no item redundancy. Corrected item-total correlations for all MFI-20 subscales were greater than 0.30, and Cronbachs alpha coefficients achieved an acceptable level of 0.70. No significant floor/ceiling effect was observed. Factor analysis demonstrated factorial complexity. The MFI-20 also distinguished clearly between three diagnostic groups on all subscales. Furthermore, correlations with depression (SDS), anxiety (STAI), and functional impairment (SF-36) demonstrated strong convergent validity.ConclusionsThis study provides support for the MFI-20 as a valuable tool when used in chronically unwell and well populations. It also suggests that the MFI-20 could serve as a complementary diagnostic tool in fatiguing illnesses, such as CFS.

Mental Health Problems and Overweight in a Nationally Representative Sample of Adolescents: Effects of Race and Ethnicity

OBJECTIVES. In this study we examined the relation between mental health problems and weight in a population-based study of youth aged 12 to 17 years and whether the association between mental health problems and weight is moderated by race and ethnicity. METHODS. We used 2003 National Survey on Childrens Health data. Logistic regression was used to arrive at adjusted odds ratios showing the relation between BMI and mental health problems. RESULTS. Compared with their nonoverweight counterparts, both white and Hispanic youth who were overweight were significantly more likely to report depression or anxiety, feelings of worthlessness or inferiority, behavior problems, and bullying of others. Odds ratios relating mental health problems and BMI in black subjects were not statistically significant except for physician diagnosis of depression. CONCLUSIONS. Our results suggest that, when addressing youth overweight status, mental health problems also need to be addressed. Given that the relationship between mental health problems and youth overweight differs according to race/ethnic group, public health programs that target overweight youth should be cognizant of potential comorbid mental health problems and that race/ethnicity may play a role in the relationship between mental health and overweight status.

Incident Heart Failure Prediction in the ElderlyCLINICAL PERSPECTIVE

Background— Despite the rising heart failure (HF) incidence and aging United States population, there are no validated prediction models for incident HF in the elderly. We sought to develop a new prediction model for 5-year risk of incident HF among older persons. Methods and Results— Proportional hazards models were used to assess independent predictors of incident HF, defined as hospitalization for new-onset HF, in 2935 elderly participants without baseline HF enrolled in the Health ABC study (age, 73.6±2.9 years, 47.9% males, 58.6% whites). A prediction equation was developed and internally validated by bootstrapping, allowing the development of a 5-year risk score. Incident HF developed in 258 (8.8%) participants during 6.5±1.8 years of follow-up. Independent predictors of incident HF included age, history of coronary disease and smoking, baseline systolic blood pressure and heart rate, serum glucose, creatinine, and albumin levels, and left ventricular hypertrophy. The Health ABC HF model had a c -statistic of 0.73 in the derivation dataset, 0.72 by internal validation (optimism-corrected), and good calibration (goodness-of-fit χ2 6.24, P =0.621). A simple point score was created to predict incident HF risk into 4 risk groups corresponding to 20% 5-year risk. The actual 5-year incident HF rates in these groups were 2.9%, 5.7%, 13.3%, and 36.8%, respectively. Conclusion— The Health ABC HF prediction model uses common clinical variables to predict incident HF risk in the elderly, an approach that may be used to target and treat high-risk individuals. Received January 24, 2008; accepted May 19, 2008.Background—Despite the rising heart failure (HF) incidence and aging United States population, there are no validated prediction models for incident HF in the elderly. We sought to develop a new prediction model for 5-year risk of incident HF among older persons. Methods and Results—Proportional hazards models were used to assess independent predictors of incident HF, defined as hospitalization for new-onset HF, in 2935 elderly participants without baseline HF enrolled in the Health ABC study (age, 73.6±2.9 years, 47.9% males, 58.6% whites). A prediction equation was developed and internally validated by bootstrapping, allowing the development of a 5-year risk score. Incident HF developed in 258 (8.8%) participants during 6.5±1.8 years of follow-up. Independent predictors of incident HF included age, history of coronary disease and smoking, baseline systolic blood pressure and heart rate, serum glucose, creatinine, and albumin levels, and left ventricular hypertrophy. The Health ABC HF model had a c-statistic of 0.73 in the derivation dataset, 0.72 by internal validation (optimism-corrected), and good calibration (goodness-of-fit &khgr;2 6.24, P=0.621). A simple point score was created to predict incident HF risk into 4 risk groups corresponding to <5%, 5% to 10%, 10% to 20%, and >20% 5-year risk. The actual 5-year incident HF rates in these groups were 2.9%, 5.7%, 13.3%, and 36.8%, respectively. Conclusion—The Health ABC HF prediction model uses common clinical variables to predict incident HF risk in the elderly, an approach that may be used to target and treat high-risk individuals.

The relationship between perceived discrimination and Generalized Anxiety Disorder among African Americans, Afro Caribbeans, and non-Hispanic Whites

The present study examined the relationship between frequency of race based and non-race based discrimination experiences and Generalized Anxiety Disorder (GAD) in a sample of 3570 African Americans, 1438 Afro Caribbeans, and 891 non-Hispanic Whites from the National Survey of American Life (NSAL). Because GAD and the experience of racial discrimination are both associated with symptoms of worry and tension, we expected race based discrimination to predict GAD prevalence for African Americans, but not other groups. We did not expect non-race based discrimination to predict GAD. Results showed that while more frequent experiences of non-race based discrimination predicted GAD for all groups, experiencing race based discrimination was associated with significantly higher odds of endorsing lifetime GAD for African Americans only. Results are interpreted in light of the different contexts that these three ethnic groups represent relative to their history within the United States as well as their present day circumstances.

The Beneficial Effect of Family Meals on Obesity Differs by Race, Sex, and Household Education: The National Survey of Children's Health, 2003-2004

Studies have indicated that family meals may be a protective factor for childhood obesity; however, limited evidence is available in children with different racial, socioeconomic, and individual characteristics. The purpose of this study was to examine family meal frequency as a protective factor for obesity in a US-based sample of non-Hispanic white, non-Hispanic black, and Hispanic children age 6 to 11 years, and to identify individual, familial, and socioeconomic factors that moderate this association. Data were from the 2003 National Survey of Childrens Health (n=16,770). Multinomial logistic regression analyses were used to test the association between family meal frequency and weight status, and the moderating effects of household structure, education, poverty level, and sex, by racial group. Non-Hispanic white children who consumed family meals every day were less likely to be obese than those eating family meals zero or a few days per week. A moderating effect for sex was observed in non-Hispanic black children such that family meal frequency was marginally protective in boys but not in girls. Higher family meal frequency was a marginal risk factor for obesity in Hispanic boys from low-education households, but not in girls from similar households. In conclusion, family meals seem to be protective of obesity in non-Hispanic white children and non-Hispanic black boys, whereas they may put Hispanic boys living in low-education households at risk. Greater emphasis is needed in future research on assessing why this association differs among different race/ethnic groups, and evaluating the influence of the quality and quantity of family meals on child obesity.

Chronic diseases and multi-morbidity - a conceptual modification to the WHO ICCC model for countries in health transition

BackgroundThe burden of non-communicable diseases is rising, particularly in low and middle-income countries undergoing rapid epidemiological transition. In sub-Saharan Africa, this is occurring against a background of infectious chronic disease epidemics, particularly HIV and tuberculosis. Consequently, multi-morbidity, the co-existence of more than one chronic condition in one person, is increasing; in particular multimorbidity due to comorbid non-communicable and infectious chronic diseases (CNCICD). Such complex multimorbidity is a major challenge to existing models of healthcare delivery and there is a need to ensure integrated care across disease pathways and across primary and secondary care.DiscussionThe Innovative Care for Chronic Conditions (ICCC) Framework developed by the World Health Organization provides a health systems roadmap to meet the increasing needs of chronic disease care. This framework incorporates community, patient, healthcare and policy environment perspectives, and forms the cornerstone of South Africa’s primary health care re-engineering and strategic plan for chronic disease management integration. However, it does not significantly incorporate complexity associated with multimorbidity and CNCICD.Using South Africa as a case study for a country in transition, we identify gaps in the ICCC framework at the micro-, meso-, and macro-levels. We apply the lens of CNCICD and propose modification of the ICCC and the South African Integrated Chronic Disease Management plan. Our framework incorporates the increased complexity of treating CNCICD patients, and highlights the importance of biomedicine (biological interaction). We highlight the patient perspective using a patient experience model that proposes that treatment adherence, healthcare utilization, and health outcomes are influenced by the relationship between the workload that is delegated to patients by healthcare providers, and patients’ capacity to meet the demands of this workload. We link these issues to provider perspectives that interact with healthcare delivery and utilization.SummaryOur proposed modification to the ICCC Framework makes clear that healthcare systems must work to make sense of the complex collision between biological phenomena, clinical interpretation, beliefs and behaviours that follow from these. We emphasize the integration of these issues with the socio-economic environment to address issues of complexity, access and equity in the integrated management of chronic diseases previously considered in isolation.

A Randomized Trial Comparing the Effect of Two Phone-Based Interventions on Colorectal Cancer Screening Adherence

BackgroundEarly-stage diagnosis of colorectal cancer is associated with high survival rates; screening prevalence, however, remains suboptimal.PurposeThis study seeks to test the hypothesis that participants receiving telephone-based tailored education or motivational interviewing had higher colorectal cancer screening completion rates compared to usual care.MethodsPrimary care patients not adherent with colorectal cancer screening and with no personal or family history of cancer (n = 515) were assigned by block randomization to control (n = 169), tailored education (n = 168), or motivational interview (n = 178). The response rate was 70%; attrition was 24%.ResultsHighest screening occurred in the tailored education group (23.8%, p < .02); participants had 2.2 times the odds of completing a post-intervention colorectal cancer screening than did the control group (AOR = 2.2, CI = 1.2−4.0). Motivational interviewing was not associated with significant increase in post-intervention screening.ConclusionsTailored education showed promise as a feasible strategy to increase colorectal cancer screening.

Perceptions of colon cancer screening by stage of screening test adoption

Colorectal cancer remains the second leading cause of cancer death in the United States. To fully realize the benefits of early detection of colorectal cancer, screening rates must improve. This study assessed differences in beliefs (from the Health Belief Model) by stage of screening behavior adoption (based on the Transtheoretical Model of Change) as a foundation for intervention development. More people were in the precontemplation stage (not thinking about having the screening test) for fecal occult blood test and sigmoidoscopy versus contemplation (thinking about having the test) or action (adherent with screening). Those in precontemplation stage for fecal occult blood test had lower perceived risk than those in contemplation, lower perceived benefits than those in action, and higher barriers than both those in contemplation and those in action. For sigmoidoscopy stage of readiness, again, precontemplators had lower perceived risk and self-efficacy than contemplators and higher barriers than both contemplators and actors. Given the popularity of the transtheoretical model and the success of stage-based interventions to increase other cancer screening, especially mammography, we should begin to translate such effective interventions to colorectal cancer screening. As such, this study is one of very few to quantify beliefs across stages of colorectal cancer and identify significant differences across stages, laying the foundation for the development and testing of stage-based interventions.