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46 Depression and Reward Responsiveness in Multiple Sclerosis
- Valerie Humphreys, Fareshte Irani, Darshan Patel, Maria Schultheis, John Medaglia, Kathryn N. Devlin
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 559-560
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Objective:
Depression is common in persons with MS (PwMS), substantially contributing to morbidity and mortality. Depression can dually impact PwMS as both a psychosocial reaction to living with the disease and a neurological effect of it. Cardinal features of depression include reduced ability to seek and experience pleasure, often attributed to dysregulation of the brain's reward system. People with depression exhibit atypical reward processing, as do fatigued PwMS. However, it is unclear whether MS itself affects reward processing, and whether it interacts with depression. The current study explored the associations of depression, MS, and their interaction on reward responsiveness. We hypothesized that depression and MS would independently be associated with poorer reward responsiveness and that they would interact synergistically to impair reward responsiveness.
Participants and Methods:Forty PwMS and 40 healthy age- and education-matched healthy controls (HC) participated in a computerized switching task with high- and low-reward manipulations. The Chicago Multiscale Depression Inventory (CMDI) Mood subscale measured depressive symptoms. The Behavioral Inhibition/Activation Scales (BIS/BAS) measured self-reported reward responsiveness and behavioral inhibition. Switching task performance was measured as response time (RT) and accuracy. Performance differences between the high- and low-reward conditions represented performance-based reward responsiveness. Linear mixed effects models were used to estimate the associations of MS and depression with reward responsiveness, behavioral inhibition, and task performance.
Results:Depression, but not MS, was associated with higher BIS scores (p=.007). Neither depression nor MS was associated with BAS subscales. On the switching task, participants who reported lower depression responded to reward such that they were slightly faster in the high-reward condition compared to the low-reward condition (p=.07). By contrast, in participants who reported higher depression, there was no effect of reward on response time. Additionally, MS (p=.009) and depression (p=.018) were each associated with slower response times. Regarding accuracy, no effects of reward were observed; however, there was an interaction between MS and depression. Among HC participants, depression was not related to accuracy. In comparison, PwMS who reported higher depression were more accurate than PwMS who reported less depression (p=.043).
Conclusions:Consistent with hypotheses, higher depressive symptoms were associated with increased behavioral inhibition. Depression was not associated with self-reported reward responsiveness, but it was associated with reduced reward responsiveness on a cognitive task. Contrary to hypotheses, MS was not associated with reduced reward responsiveness. Additionally, higher depression and an MS diagnosis were related to slower response time, consistent with prior findings that psychomotor slowing is a hallmark feature of both disorders. Interestingly, we observed a unique behavioral trend in PwMS, such that PwMS with higher depressive symptoms were more accurate than PwMS with lower depressive symptoms, whereas this relationship was not present among HCs. Altogether, depression in both PwMS and cognitively healthy individuals may be associated with blunted reward responsiveness, but MS does not exacerbate this relationship. In fact, PwMS with depression may be more conscientious in their functioning and therefore perform better on cognitive task accuracy. Continued work should examine how reward processing and its underlying mechanisms may differ in depressed PwMS.
69 Influence of Cardiovascular Risk Factors on Neuropsychological Trajectories in Black/African American Adults Living with HIV
- Valerie Humphreys, Will Dampier, Shinika Tilman, Kim Malone, Vanessa Pirrone, Michael Nonnemacher, Amy Althoff, Zsofia Szep, Brian Wigdahl, Maria Schultheis, Kathryn N. Devlin
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 64-65
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Objective:
Human immunodeficiency virus (HIV) type 1 (HIV-1), cardiovascular disease, and HIV-associated neurocognitive disorders (HAND) disproportionately affect Black/African American individuals compared to other racial and ethnic groups. Understanding the mechanisms of cognitive health disparities is essential for developing policy and health interventions to combat such disparities. Cardiovascular risk factors/diseases are common comorbidities that likely contribute to cognitive health disparities among Black/African American people living with HIV (PWH), but their impacts on cognition longitudinally in this population are unclear. The current study examines the relationship between cardiovascular risk and cognitive functioning over time in Black/African American adults living with HIV.
Participants and Methods:A sample of 122 Black/African American adults with HIV (ages 25-68, M=51.8, SD=7.7; 98% on antiretroviral therapy; 91% with undetectable viral load) were selected from the Drexel/Temple Comprehensive NeuroHIV Center, Clinical and Translational Research Support Core (CTRSC; based at Drexel University College of Medicine) Cohort. They completed longitudinal visits (300 total visits, average follow-up time=4.9 years) that included clinical interviews, medical record review, biometric measurements, and comprehensive neuropsychological assessments. Cardiovascular risk factors of interest were body mass index (BMI), waist-to-height ratio (WHtR), and a total vascular risk burden score (VBS) representing five risk factors: obesity, central obesity, diabetes, hyperlipidemia, and hypertension. Based on a prior principal component analysis, three cognitive domains were examined: (1) verbal fluency, (2) visual memory/visuoconstruction, and (3) motor speed/executive functions. Mixed models were used to examine domain-specific cognitive trajectories in relation to baseline cardiovascular risk factors and changes in cardiovascular risk factors.
Results:Overall, cognitive test performance improved over time (p<.003). Baseline VBS was marginally associated with longitudinal change in verbal fluency (p=.06). Participants with low baseline VBS (0-1 risk factors) demonstrated improvement in verbal fluency (p=.002), while those with higher VBS (2-5 risk factors) demonstrated stability in verbal fluency. In contrast, greater increases in BMI and in WHtR predicted more favorable trajectories in motor speed/executive function (both p<.001). Patients with increasing BMI over time improved in this domain (p=.02), while patients with stable or decreasing BMI did not. A similar pattern was observed for WHtR change. No vascular risk factors were associated with trajectories of visual memory/visuoconstruction.
Conclusions:Higher total vascular risk burden was associated with less favorable verbal fluency trajectories, reflecting the negative cognitive consequences of disorders such as diabetes, hyperlipidemia, and hypertension. Unexpectedly, greater increases in BMI and WHtR were associated with more favorable trajectories in motor speed and executive functioning. In this population, weight gain may be a proxy for other positive health factors, such as immune reconstitution, which will be examined in future analyses. Taken together, cardiovascular risk factors have heterogeneous associations with cognitive trajectories, emphasizing the importance of examining the mechanisms of these varying relationships. Future research will examine how social determinants of health, such as racial/ethnic discrimination, contribute to disparities in cardiovascular risk factors and cognitive outcomes.
A Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals: 2014 Updates
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- Deborah S. Yokoe, Deverick J. Anderson, Sean M. Berenholtz, David P. Calfee, Erik R. Dubberke, Katherine D. Eilingson, Dale N. Gerding, Janet P. Haas, Keith S. Kaye, Michael Klompas, Evelyn Lo, Jonas Marschall, Leonard A. Mermel, Lindsay E. Nicolle, Cassandra D. Salgado, Kristina Bryant, David Classen, Katrina Crist, Valerie M. Deloney, Neil O. Fishman, Nancy Foster, Donald A. Goldmann, Eve Humphreys, John A. Jernigan, Jennifer Padberg, Trish M. Perl, Kelly Podgorny, Edward J. Septimus, Margaret VanAmringe, Tom Weaver, Robert A. Weinstein, Robert Wise, Lisa L. Maragakis
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 35 / Issue S2 / September 2014
- Published online by Cambridge University Press:
- 10 May 2016, pp. S21-S31
- Print publication:
- September 2014
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Since the publication of “A Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals” in 2008, prevention of healthcare-associated infections (HAIs) has become a national priority. Despite improvements, preventable HAIs continue to occur. The 2014 updates to the Compendium were created to provide acute care hospitals with up-to-date, practical, expert guidance to assist in prioritizing and implementing their HAI prevention efforts. They are the product of a highly collaborative effort led by the Society for Healthcare Epidemiology of America (SHEA), the Infectious Diseases Society of America (IDSA), the American Hospital Association (AHA), the Association for Professionals in Infection Control and Epidemiology (APIC), and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise, including the Centers for Disease Control and Prevention(CDC), the Institute for Healthcare Improvement (IHI), the Pediatric Infectious Diseases Society (PIDS), the Society for Critical Care Medicine (SCCM), the Society for Hospital Medicine (SHM), and the Surgical Infection Society (SIS).
A Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals: 2014 Updates
- Deborah S. Yokoe, Deverick J. Anderson, Sean M. Berenholtz, David P. Calfee, Erik R. Dubberke, Katherine D. Ellingson, Dale N. Gerding, Janet P. Haas, Keith S. Kaye, Michael Klompas, Evelyn Lo, Jonas Marschall, Leonard A. Mermel, Lindsay E. Nicolle, Cassandra D. Salgado, Kristina Bryant, David Classen, Katrina Crist, Valerie M. Deloney, Neil O. Fishman, Nancy Foster, Donald A. Goldmann, Eve Humphreys, John A. Jernigan, Jennifer Padberg, Trish M. Perl, Kelly Podgorny, Edward J. Septimus, Margaret VanAmringe, Tom Weaver, Robert A. Weinstein, Robert Wise, Lisa L. Maragakis
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 35 / Issue 8 / August 2014
- Published online by Cambridge University Press:
- 10 May 2016, pp. 967-977
- Print publication:
- August 2014
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- Article
- Export citation
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Since the publication of “A Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals” in 2008, prevention of healthcare-associated infections (HAIs) has become a national priority. Despite improvements, preventable HAIs continue to occur. The 2014 updates to the Compendium were created to provide acute care hospitals with up-to-date, practical, expert guidance to assist in prioritizing and implementing their HAI prevention efforts. They are the product of a highly collaborative effort led by the Society for Healthcare Epidemiology of America (SHEA), the Infectious Diseases Society of America (IDSA), the American Hospital Association (AHA), the Association for Professionals in Infection Control and Epidemiology (APIC), and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise, including the Centers for Disease Control and Prevention (CDC), the Institute for Healthcare Improvement (IHI), the Pediatric Infectious Diseases Society (PIDS), the Society for Critical Care Medicine (SCCM), the Society for Hospital Medicine (SHM), and the Surgical Infection Society (SIS).
Infect Control Hosp Epidemiol 2014;35(8):967–977