Conley, Samantha

Background: Individual symptoms are predictors of mortality in adults with heart failure (HF). However, symptom clusters may be more predictive of future risks than isolated symptoms, yet research on these symptom clusters in older adults with HF is limited. Aims: To explore the extent to which symptom cluster profiles predict all-cause mortality among community-dwelling older adults with HF, while adjusting for known risk factors. Methods: We conducted a secondary analysis of data of the 2008 to 2016 surveys of the U.S. Health and Retirement Study using latent class analysis to identify baseline cluster profiles, and survival analysis for time to death with Cox proportional hazard (Cox PH) models, and Kaplan Meier survival analyses. Results: We included 684 participants [mean age=74.9, (SD=10) years, 56.6% female, 16.2% Black/African American]. Three baseline symptom cluster profiles were identified: high-burden (pain, shortness of breath, fatigue, swelling, depressive symptoms, dizziness), low-burden, and cardiopulmonary-depressive (shortness of breath, pain, and dizziness). The estimated median time-to-death was 71 (95% CI=64, 79) months. Of the 364 participants in the cardiopulmonary-depressive profile, 240 (65.9%) died (median time= 65 months, 95% CI= 55, 73) compared to those in the low-burden profile, of which 49% died. Approximately 61% in the high burden profile died (median time=67 months, 95% CI= 51, 90). A significant difference in survival times between the 3 cluster profiles was found (Log-rank= 9.13, p = 0.01). In the adjusted Cox PH model, participants in the high symptom burden and respiratory-depressive distress profiles had adjusted HR of 1.48 (95% CI=1.15, 1.94) and 1.44 (95% CI=1.14, 1.80) compared to those in the low burden symptom cluster profile, after controlling for age, gender, smoking, and comorbidities. Conclusions: The identified symptom cluster profiles predict 8-year all-cause mortality in older adults with HF, after controlling for known risk factors. An evaluation of symptom clusters, rather than individual symptoms, may provide additive prognostic information.

Abstract Background and Aims Individuals with inflammatory bowel disease (IBD) experience a high symptom burden, including abdominal pain, fatigue, anxiety, depression, and sleep disturbances; yet, little is known regarding the relationship between sex and gender on symptoms. We sought to report symptom severity for cisgender men, cisgender women, and transgender and gender-diverse (TGD) individuals. In addition, we used network analysis to identify core symptoms and explore if symptoms and their relationships differ between cisgender men and cisgender women. Methods This was a cross-sectional study. We recruited adults with IBD online through ResearchMatch. Individuals responded to Patient-Reported Outcomes Measurement Information symptom questionnaires, as well as demographic and clinical questionnaires. Network analysis was used to identify the core symptoms driving the symptom structure. Results One-hundred and fifty-seven (63.3%) participants identified as cisgender women, 84 (33.9%) as cisgender men, and 7 (2.8%) as TGD. Cisgender men (M = 61.8) and TGD (M = 61.3) groups reported higher abdominal pain levels compared with cisgender women (M = 57.8; P = .02). Transgender and gender-diverse individuals reported higher depression levels (M = 64.8) compared with cisgender men (M = 56.7) and cisgender women (M = 54.4; P = .01). Using a network analysis approach, anxiety and fatigue emerged as core symptoms for the entire sample (clinically active and inactive disease), and among only those with active clinical disease. Fatigue was a top core symptom for cisgender women; anxiety emerged as a top core symptom for cisgender men. Conclusions This study highlights that fatigue and anxiety are core symptoms among individuals with IBD and demonstrates a potential sex and/or gender difference in core symptoms. Replication of this study is needed with further consideration of inclusion of TGD patients.

Abstract Background Heart failure (HF) has a high mortality risk in older adults. Individual symptoms as predictors of mortality in HF patients; however, symptoms often manifest in clusters, which may be more predictive of future risks than isolated symptoms. However, research on symptom clusters in older adults who have HF is limited. To explore the extent to which symptom cluster profiles predict all-cause mortality among older adults with HF, while adjusting for demographic and clinical factors. Methods A secondary study was conducted using the data from the Health and Retirement Study. We measured six symptoms (fatigue, shortness of breath, pain, swelling, depressive symptoms, and dizziness), and used latent class analysis to identify baseline symptom cluster profile. We performed survival analysis for time to death with Kaplan Meier survival analyses and Cox Proportional Hazard models. Results The sample included 684 participants (mean age = 74.9 (SD = 10.0) years) who demonstrated three symptom cluster profiles (high-burden, low-burden, and cardiopulmonary-depressive). The estimated median time-to-death was 71 (95% CI= [64, 79]) months. Participants in the high symptom burden and respiratory-depressive distress profiles had adjusted hazard ratios of 1.48 (95% CI = 1.15, 1.94) and 1.44 (95% CI = 1.14, 1.80) for time to death compared to those in the low burden profile. Conclusion Symptom profiles can assist in identifying older adults with HF who are at risk for earlier mortality. Further research is needed to determine whether alleviating these symptom clusters decreases the risk of mortality.

Abstract Introduction Inflammatory Bowel Disease (IBD) is a chronic, immune-mediated condition, encompassing Crohn's disease (CD) and ulcerative colitis (UC). Up to 80% of individuals with IBD report poor sleep quality. However, there is limited information on factors that predict sleep characteristics in this population. This study aims to explore the associations between demographic, clinical, and psychological factors with sleep characteristics in adults with IBD. Methods We conducted a retrospective analysis of two IBD sleep studies. Participants aged 18-64 years old with a diagnosis of IBD were recruited from two academic medical centers and completed Patient-Reported Outcomes Measure Information System (PROMIS) depression and anxiety questionnaires and wore a wrist actigraph for 10 days continuously. We employed Independent T-Tests and Pearson’s correlation to assess the association of biologic treatment, IBD type, sex, depression, and anxiety on sleep efficiency (SE), total sleep time (TST), and sleep onset latency (SOL). Results We included 58 participants with a mean age of 35.6 years (SD=12.1). 60.3% were female, and 60.3% were diagnosed with CD. The mean depression score was 51.3 (SD = 10.2) and the anxiety score was 52.2 (SD = 15.5). The mean SOL was 19.3 minutes (SD = 15.5), TST was 413.3 minutes (SD = 53.2), and SE was 83.5% (SD = 5.7). TST was significantly longer in females compared to males (427.4 vs. 391.9 minutes , p< 0.05). SE was significantly higher among females compared to males (85.1% vs. 81.0%, p< 0.001) and among individuals with Crohn's disease compared to Ulcerative colitis ((85.1% vs. 81.0%, p< 0.01). SOL was longer among individuals with Ulcerative colitis compared to Crohn's disease (15.6 vs.25.0minutes , p< 0.05). Depression and anxiety scores were not significantly correlated with any sleep characteristic. Conclusion Sleep continuity was poor in people with IBD. Given that we found sex and IBD type impacted sleep continuity, these factors should be considered in future precision sleep health interventions for this population. Support (if any) This study was funded by the University of Washington School of Nursing, NINR (K23 NR020044) (Kendra Kamp, and the American Nurses Foundation (Samantha Conley).

Abstract Introduction Inflammatory bowel disease (IBD) is a chronic immune-mediated disease that includes Crohn’s disease and ulcerative colitis. People with IBD experience poor sleep health, including short and highly fragmented sleep and extraintestinal manifestations including alterations to cognitive functioning; however, the relationships between sleep health and cognitive symptoms have not been evaluated in this population. The purpose of this study was to identify the associations between sleep health and perceived cognitive impairments in adults with IBD. Methods We conducted a descriptive, correlational study of adults (18 to 59 years old) with IBD. We used the Pittsburgh Sleep Quality Index (PSQI) to obtain self-reported data on sleep health, the FACT-Cog Perceived Cognitive Impairments questionnaire to elicit cognitive symptoms, and the Manitoba IBD Index to describe IBD disease activity. Descriptive statistics, point-biserial correlations, and Pearson’s correlations were used to describe relationships. Results Of the 59 participants [Mean age 40.8 (SD 10.5), 71.2% female, 94.9% white], 67.8% (n=40) had clinically active IBD. 79.7% (n=47) had a PSQI total score >5, indicating poor sleep health. The most common cognitive symptoms, occurring two or more times a week, were trouble concentrating (55.9%), walking into a room and forgetting an intended task (44.1%), and forgetting the names of people soon after being introduced (44.0%). PSQI total score was positively and significantly correlated with 12 of 13 questions on the FACT-Cog. The strongest correlations included trouble concentrating (r = .497, P<.001), slower thinking (r = .450, p<.001), trouble forming thoughts (r=.550, p<.001), and difficulty finding the right words to express oneself (r=.546, p<.001). Longer self-reported sleep latency was associated with higher frequency of 12 out of 13 cognitive symptoms, while sleep efficiency was associated with 4 and sleep duration was associated with 2. Having clinically active IBD was associated with trouble forming thoughts (r=-.261, p=.046), slower thinking (r=-.307, p=.018), and trouble concentrating (r=-.346, p=.007). Conclusion Cognitive symptoms are common among people with IBD, highly correlated with sleep health, and not fully explained by IBD disease activity. Future studies should include objective measures of sleep health and cognition to further elucidate these relationships. Support (if any) Mayo Clinic Bonner Fund

Abstract Introduction Sleep disturbance and circadian rhythm disruptions are common among adults with chronic heart failure (HF), and are related to cognitive impairment. Although light levels are known to influence sleep quality, cognition, and the circadian system, little is known about the role of light among adults with HF. The purpose of this study is to investigate the association between light exposure and sleep, diurnal rest-activity rhythms (RAR), and cognitive function among adults with HF. Methods We retrospectively analyzed baseline data from a randomized controlled trial of cognitive behavioral therapy for insomnia for adults with HF and insomnia. We measured light levels and sleep with 24-hour wrist actigraphy and computed the circadian quotient, inter-daily stability, and intra-daily variability (strength of the RAR) using cosinor and non-parametric methods. We computed time above threshold (TAT) (100, 500, and 1000 lux), ratio of light exposure in daytime to evening (AUC ratio), and light regularity index (LRI) (20, 50, and 100 lux) to assess the intensity and consistency of light exposure patterns. Lapses in performance on the Psychomotor Vigilance Task (PVT lapse) measured cognitive function. Multiple linear regressions tested if the light exposure metrics could predict the RAR, sleep efficiency, and PVT lapses after adjusting for age, sex, and comorbidities. Results The sample included 167 participants (M age=63.8 (SD =12.9) years; 45.5%female). The AUC ratio and TAT500 were associated with a stronger circadian quotient in males (0.339 ± 0.095, p=.0005; 0.296 ± 0.085, p=.0006) compared to females (0.058 ± 0.106, p=.5800; -0.061 ± 0.128, p=.6364), after controlling for age and comorbidities. TAT500 was associated with better inter-daily stability (0.221 ± 0.077, p=.0044) than the other thresholds. Higher light exposure intensity (TAT100) (0.129 ± 0.065, p=.0492) and a greater circadian quotient (0.267±0.076, p=.0006) were associated with improved sleep efficiency. TAT100 was associated with fewer PVT lapses (-0.229 ± 0.082, p=.0061), after controlling for total sleep time, circadian quotient, and demographics. Conclusion Light exposure, particularly at certain intensities and regularity, predicted RARs, sleep efficiency, and cognitive function in adults with HF. Future tailored light interventions with varying intensities and regularity may improve HF outcomes. Support (if any)

Abstract Introduction Sleep disordered breathing (SDB: obstructive & central sleep apnea) and insomnia are common in heart failure (HF). However, most studies have not addressed the presence of combined SDB and insomnia (COMISA). The purposes of this study were to (1) describe COMISA among adults with stable chronic HF; (2) compare the clinical and demographic characteristics between groups with COMISA, insomnia, SDB, and normal sleep; and (3) examine the risk of COMISA in the presence of normal sleep, insomnia, SDB and other clinical and demographic characteristics. Methods Secondary analysis of an observational study of sleep among adults with stable HF. COMISA was defined as an apnea hypopnea index (AHI) > 15 with difficulty initiating or maintaining sleep or waking too early in the morning (Insomnia). We measured self-reported (Pittsburgh Sleep Quality Index) and objective sleep characteristics (polysomnography – PSG), symptoms (depression, sleepiness); used chi-square and ANOVA; and calculated the risks of COMISA for normal sleepers and with insomnia or SDB under different conditions (depression, poor sleep quality, left ventricular ejection fraction, age, race, and sex). Results The sample included 170 [(M age = 60.3 ± 16.8 years; n = 60 (35%] female. They had normal sleep (n = 37/22%); insomnia only (n = 48/28%): SDB only (n = 46/27%); and COMISA (n = 39/23%). Those with COMISA were significantly more likely to be obese (32.1%) compared to others [13.6% -29.6%, p = 0.0128]. They had the shortest total sleep time (TST) (mean = 291 ± 109 mins) and poorest sleep efficiency (M = 65.8 ± 20.5%) (p = .05). Women with insomnia were less likely to have COMISA than men (36% vs. 51%), while 74% of adults with SDB who were depressed had COMISA, compared with 41% of those with insomnia. Conclusion Risk of COMISA is associated with depression and poor sleep among adults with stable HF and SDB. Future study is needed to better understand the risks of COMISA among adults with chronic HF outcomes and to address the need for intervention that addresses it beyond a focus on only SDB or insomnia. Support (if any)

Background: There are few studies that examine relationships between cognitive function, illness perceptions, and medication adherence after heart transplantation, limiting the development of effective adherence-promoting interventions. Objective: The purpose of this study was to describe relationships between cognitive function, illness perceptions, and medication adherence among heart transplant recipients. Methods: A cross-sectional, observational design was used. Measures included the telephone-Montreal Cognitive Assessment (t-MoCA©), Patient Health Questionnaire-9, Brief Test of Adult Cognition by Telephone, Basel Assessment of Adherence to Immunosuppressive Medications Scale, and the Brief Illness Perceptions Questionnaire. Descriptive statistics, point-biserial correlations, Pearson’s correlations, and logistic regression were used to describe relationships. Results: Of the 35 participants (mean age: 61 years [SD: 10.3], 71.4% male, 71.4% white), 31.4% (n = 11) were classified as nonadherent to their immunosuppression medications. Higher immediate word recall, indicating better episodic memory (memory for autobiographical and recent events), and higher illness coherence scores were associated with not missing doses of medication. Higher t-MoCA© total scores, indicating normal cognitive function, and lower depression scores were associated with taking medications on time. More than 22% (n = 8) of participants scored less than 19 on the t-MoCA©, an indication of mild cognitive impairment. Conclusion: Cognitive impairment may be more common among heart transplant recipients than what is currently recognized, and specific domains of cognitive function were related to medication adherence after transplantation in this study. Future studies should include longitudinal evaluations of cognitive function, depression, and medication adherence. Consideration of these relationships is needed when designing adherence-promoting interventions for this population.

Introduction: Poor sleep contributes to outcomes in heart failure (HF). Phenotypes reflecting multi-dimensional sleep health may better predict outcomes and support more precise interventions than single measures, but few studies have used this approach. Aims: 1) Describe phenotypes of sleep health and 2) Evaluate whether sleep health phenotypes predict symptoms, cognitive function, and time to first hospitalization and emergency department (ED) visits among HF patients. Methods: We performed secondary analysis of a randomized controlled trial of cognitive behavioral therapy for insomnia compared with HF self-management education with HF patients. We measured sleep [rest-activity rhythms, sleep duration, and efficiency (2-week wrist actigraphy/follow-ups); insomnia; CPAP use; and daytime sleepiness (Epworth Scale)]; perceived stress; fatigue; anxiety; depression; pain; and cognitive ability (Patient-Reported Outcomes Measurement System: PROMIS) at baseline and 3, 6, and 12 months post-intervention and tracked hospitalizations and ED visits. We used K-means clustering to identify sleep phenotypes and generalized linear mixed models and Cox models to predict outcomes, adjusted for demographic factors. Results: Among 166 participants (M age = 63.2 (SD = 12.8) years; 57% female; 23% NYHA Class 3/4 HF; 35% EF less than 45%), there were 4 phenotypes [poor sleep (14%); short sleep/high sleep efficiency (39%); long sleep/low sleep efficiency (25%); and healthy sleep (21%)] at baseline. The healthy sleep group was older and had lower BMIs and less comorbidity and had better outcomes compared to all other phenotypes. In particular, this group had better fatigue (-2.43±0.87), pain (-1.86±1.05), anxiety (-1.50±0.89), stress (-1.46±0.69), and cognitive ability (1.76±0.80) than the poor sleep group. The poor sleep group had shorter time to adverse events compared to the other phenotypes (Hazard ratios of 0.41 to 0.56 for hospitalizations and 0.35 to 0.60 for ED visits). Conclusions: Multidimensional aspects of sleep predict HF outcomes and may improve on prediction with single measures. Future tailored sleep interventions focused on phenotypes may more precisely improve outcomes among HF patients than traditional approaches.