COPD is associated with cognitive dysfunction and poor physical fitness in heart failure

Alosco, Michael L.; Spitznagel, Mary Beth; Hughes, Joel W.; Gunstad, John

doi:10.1016/j.hrtlng.2014.09.002

Cited by 17 publications

(8 citation statements)

References 37 publications

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“…Such findings were seen in several studies [32][33][34]. Patients with CVD with osteoarthritis comorbidity were found to have poorer physical health [35] and those with chronic obstructive pulmonary disease exhibited poorer physical fitness [36]. Shad et al also reported that the MCS was significantly lower in patients with multiple comorbidities, with the MCS being related to sex and educational level [32].…”

Section: Discussionmentioning

confidence: 80%

Quality of life among patients with cardiac disease: the impact of comorbid depression

Bahall

Legall

Khan

2020

Health Qual Life Outcomes

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Background: Patients with cardiac disease with or without depression may also have major physical and mental problems. This study assesses and compares the quality of life (QOL) of patients with cardiac disease with and without depression and accompanying comorbidities. Methods: A cross-sectional study was conducted with a convenience sample of 388 patients with cardiac disease. The 12-item Short-Form (SF-12)-patient was used to measure physical component scale (PCS) and mental component scale (MCS) QOL, and the Patient Health Questionnaire (PHQ-9) was used to measure depression. The Charlson Comorbidity Index was used to estimate 10-year survival probability. Descriptive statistics, analysis of covariance (ANCOVA), chi-square tests, and binary logistic regression were used for analysis. Results: The prevalence of minimal to mild depression was 65.7% [(95% CI (60.8, 70.4)] and that of moderate to severe depression was 34.3% [95% CI (29.6, 39.2)]. There was no significant association between the level of PHQcategorised depression and age (p = 0.171), sex (p = 0.079), or ethnicity (p = 0.407). The overall mean PCS and MCS QOL was 32.5 [95% CI (24.4, 40.64)] and 45.4 [95% CI (44.4, 46.4)], respectively, with no significant correlation between PCS and MCS [r (Pearson's) = 0.011; p = 0.830)]. There were QOL differences among the five PHQ categories (PCS: p = 0.028; MCS: p ≤ 0.001) with both MCS and PCS decreasing with increasing depression. ANCOVA (with number of comorbidities as the covariate) showed a significant age × ethnicity interaction for PCS (p = 0.044) and MCS (p = 0.039), respectively. Young Indo-Trinidadians had significantly lower PCS than did Afro-Trinidadians, while the converse was true for MCS. Depression, age, and number of comorbidities were predictors of PCS, while depression, age, and sex were predictors of MCS. Conclusions: Increasing severity of depression worsened both PCS and MCS QOL. Age and level of clinical depression predicted QOL, with number of comorbidities predicting only PCS and sex predicting only MCS. Efforts must be made to treat depression in all age groups of patients with cardiac disease.

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Section: Discussionmentioning

confidence: 80%

Quality of life among patients with cardiac disease: the impact of comorbid depression

Bahall

Legall

Khan

2020

Health Qual Life Outcomes

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“…Cognition was assessed using a neuropsychological battery of four tests used commonly in patients with HF (Alosco, Spitznagel, Josephson, Hughes, & Gunstad, 2015; Miller et al, 2012) that measured attention, processing speed, working memory, and short-term memory. The Digit Symbol Substitution Test (DSST) is a timed test in which numbers are matched with different nonsense symbols.…”

Section: Methodsmentioning

confidence: 99%

“…Slowed processing speed, inability to remember earlier responses, and reduced capacity to ignore irrelevant information all contribute to decrements in performance. The internal consistency coefficient is .82 (Silva, 2008) and test-retest reliability is .75 (Alosco et al, 2015). …”

Section: Methodsmentioning

confidence: 99%

Predictors of medication nonadherence differ among black and white patients with heart failure

2015

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Heart failure (HF) is a global public health problem, and outcomes remain poor, especially among ethnic minority populations. Medication adherence can improve heart failure outcomes but is notoriously low. The purpose of this secondary analysis of data from a prospective cohort comparison study of adults with heart failure was to explore differences in predictors of medication nonadherence by racial group (Black vs. White) in 212 adults with heart failure. Adaptive modeling analytic methods were used to model HF patient medication nonadherence separately for Black (31.7%) and White (68.3%) participants in order to investigate differences between these two racial groups. Of the 63 Black participants, 33.3% had low medication adherence, compared to 27.5% of the 149 White participants. Among Blacks, 16 risk factors were related to adherence in bivariate analyses; four of these (more comorbidities, lower serum sodium, higher systolic blood pressure, and use of fewer activities compensating for forgetfulness) jointly predicted nonadherence. In the multiple risk factor model, the number of risk factors in Black patients ranged from 0 to 4, and 76.2% had at least one risk factor. The estimated odds ratio for medication nonadherence was increased 9.34 times with each additional risk factor. Among White participants, five risk factors were related to adherence in bivariate analyses; one of these (older age) explained the individual effects of the other four. Because Blacks with HF have different and more risk factors than Whites for low medication adherence, interventions are needed that address unique risk factors among Black patients with HF.

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“…30,31 Additionally, the severity of COPD was recorded using the Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification. Balance with the one-leg stance test, [32][33][34] functional capacity with the 2-min step in place, [35][36][37] and fatigue with the Piper fatigue scale [38][39][40] were also assessed due to the association of these measurements with frailty.…”

Section: Measurementsmentioning

confidence: 99%

Physical Activity as a Predictor of Absence of Frailty in Subjects With Stable COPD and COPD Exacerbation

et al. 2015

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BACKGROUND: Frailty is a key issue in the care of elderly patients. Patients with COPD are more likely to be frail, with a prevalence of 57.8%. Frailty is associated with a low level of physical activity. The aim of this study was to analyze the predictive power and identify the cutoffs of physical activity in their different domains (household, leisure time, and sport) for the absence of frailty in subjects with COPD exacerbation and stable COPD. METHODS: A cross-sectional study was conducted. The participants underwent an individual interview, including sociodemographic and clinical aspects. The total physical activity and its domains were assessed by the modified Baecke questionnaire, and frailty was measured according to the modified version of Fried. A total of 212 subjects with COPD (104 stable and 108 with COPD exacerbation) were enrolled, along with 100 healthy subjects. RESULTS: The prevalence of frailty was higher in subjects with COPD compared with the control group. An activity level of 3.54 for COPD exacerbation, 3.88 for stable COPD, and 3.50 for healthy subjects assessed using the Baecke questionnaire were recommended as the cutoff points for frailty. Sensitivity and specificity values were 0.95 and 0.807; 0.95 and 0.815; and 0.95 and 0.947, respectively. CONCLUSIONS: Physical activity level can predict the absence or presence of frailty in subjects with stable and exacerbated COPD.

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COPD is associated with cognitive dysfunction and poor physical fitness in heart failure

Cited by 17 publications

References 37 publications

Quality of life among patients with cardiac disease: the impact of comorbid depression

Quality of life among patients with cardiac disease: the impact of comorbid depression

Predictors of medication nonadherence differ among black and white patients with heart failure

Physical Activity as a Predictor of Absence of Frailty in Subjects With Stable COPD and COPD Exacerbation

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