2
|
Zhao X, Xu X, Yan Y, Lipnicki DM, Pang T, Crawford JD, Chen C, Cheng CY, Venketasubramanian N, Chong E, Blay SL, Lima-Costa MF, Castro-Costa E, Lipton RB, Katz MJ, Ritchie K, Scarmeas N, Yannakoulia M, Kosmidis MH, Gureje O, Ojagbemi A, Bello T, Hendrie HC, Gao S, Guerra RO, Auais M, Gomez JF, Rolandi E, Davin A, Rossi M, Riedel-Heller SG, Löbner M, Roehr S, Ganguli M, Jacobsen EP, Chang CCH, Aiello AE, Ho R, Sanchez-Juan P, Valentí-Soler M, Ser TD, Lobo A, De-la-Cámara C, Lobo E, Sachdev PS, Xu X. Independent and joint associations of cardiometabolic multimorbidity and depression on cognitive function: findings from multi-regional cohorts and generalisation from community to clinic. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 51:101198. [PMID: 39308753 PMCID: PMC11416683 DOI: 10.1016/j.lanwpc.2024.101198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 07/09/2024] [Accepted: 08/25/2024] [Indexed: 09/25/2024]
Abstract
Background Cardiometabolic multimorbidity (CMM) and depression are often co-occurring in older adults and associated with neurodegenerative outcomes. The present study aimed to estimate the independent and joint associations of CMM and depression on cognitive function in multi-regional cohorts, and to validate the generalizability of the findings in additional settings, including clinical. Methods Data harmonization was performed across 14 longitudinal cohort studies within the Cohort Studies of Memory in an International Consortium (COSMIC) group, spanning North America, South America, Europe, Africa, Asia, and Australia. Three external validation studies with distinct settings were employed for generalization. Participants were eligible for inclusion if they had data for CMM and were free of dementia at baseline. Baseline CMM was defined as: 1) CMM 5, ≥2 among hypertension, hyperlipidemia, diabetes, stroke, and heart disease and 2) CMM 3 (aligned with previous studies), ≥2 among diabetes, stroke, and heart disease. Baseline depression was primarily characterized by binary classification of depressive symptom measurements, employing the Geriatric Depression Scale and the Center for Epidemiological Studies-Depression scale. Global cognition was standardized as z-scores through harmonizing multiple cognitive measures. Longitudinal cognition was calculated as changes in global cognitive z-scores. A pooled individual participant data (IPD) analysis was utilized to estimate the independent and joint associations of CMM and depression on cognitive outcomes in COSMIC studies, both cross-sectionally and longitudinally. Repeated analyses were performed in three external validation studies. Findings Of the 32,931 older adults in the 14 COSMIC cohorts, we included 30,382 participants with complete data on baseline CMM, depression, and cognitive assessments for cross-sectional analyses. Among them, 22,599 who had at least 1 follow-up cognitive assessment were included in the longitudinal analyses. The three external studies for validation had 1964 participants from 3 multi-ethnic Asian older adult cohorts in different settings (community-based, memory clinic, and post-stroke study). In COSMIC studies, each of CMM and depression was independently associated with cross-sectional and longitudinal cognitive function, without significant interactions between them (Ps > 0.05). Participants with both CMM and depression had lower cross-sectional cognitive performance (e.g. β = -0.207, 95% CI = (-0.255, -0.159) for CMM5 (+)/depression (+)) and a faster rate of cognitive decline (e.g. β = -0.040, 95% CI = (-0.047, -0.034) for CMM5 (+)/depression (+)), compared with those without either condition. These associations remained consistent after additional adjustment for APOE genotype and were robust in two-step random-effects IPD analyses. The findings regarding the joint association of CMM and depression on cognitive function were reproduced in the three external validation studies. Interpretation Our findings highlighted the importance of investigating age-related co-morbidities in a multi-dimensional perspective. Targeting both cardiometabolic and psychological conditions to prevent cognitive decline could enhance effectiveness. Funding Natural Science Foundation of China and National Institute on Aging/National Institutes of Health.
Collapse
Affiliation(s)
- Xuhao Zhao
- School of Public Health, The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaolin Xu
- School of Public Health, The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Yifan Yan
- School of Public Health, The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
| | - Darren M. Lipnicki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Ting Pang
- School of Public Health, The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
| | - John D. Crawford
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Christopher Chen
- Memory, Ageing, and Cognition Centre (MACC), Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University Health System, NUHS, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | | | - Eddie Chong
- Memory, Ageing, and Cognition Centre (MACC), Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Sergio Luis Blay
- Center for Studies in Public Health and Aging, Belo Horizonte, Brazil
| | | | - Erico Castro-Costa
- Department of Psychiatry- Federal University of Sao Paulo- UNIFESP, Sao Paulo, Brazil
| | - Richard B. Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mindy J. Katz
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Karen Ritchie
- Institut for Neurosciences of Montpellier, University Montpellier, National Institute for Health and Medical Research, Montpellier, France
- Institut du Cerveau Trocadéro, Paris, France
| | - Nikolaos Scarmeas
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, Columbia University, New York, USA
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Mary H. Kosmidis
- Lab of Neuropsychology & Behavioral Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Oye Gureje
- World Health Organization Collaborating Centre for Research and Training in Mental Health, Neuroscience, and Substance Abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Akin Ojagbemi
- World Health Organization Collaborating Centre for Research and Training in Mental Health, Neuroscience, and Substance Abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Toyin Bello
- World Health Organization Collaborating Centre for Research and Training in Mental Health, Neuroscience, and Substance Abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Hugh C. Hendrie
- Department of Psychiatry and Indiana Alzheimer Disease Center Indiana School of Medicine, Indianapolis, USA
| | - Sujuan Gao
- Indiana Alzheimer Disease Research Center, Indianapolis
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, USA
| | | | - Mohammad Auais
- School of Rehabilitation Therapy, Kingston, Ontario, Canada
| | - José Fernando Gomez
- Research Group on Geriatrics and Gerontology. Faculty of Health Sciences, Universidad de Caldas, Manizales, Colombia
| | - Elena Rolandi
- Golgi Cenci Foundation, Abbiategrasso, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | | | | | - Steffi G. Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Margit Löbner
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Susanne Roehr
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
- School of Psychology, Manawatu Campus, Massey University, Palmerston North, New Zealand
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Mary Ganguli
- Departments of Psychiatry, Neurology, and Epidemiology, School of Medicine and School of Public Health, University of Pittsburgh, USA
| | - Erin P. Jacobsen
- Department of Psychiatry, School of Medicine, University of Pittsburgh, USA
| | - Chung-Chou H. Chang
- Departments of Medicine and Bioostatistics, School of Medicine and School of Public Health, University of Pittsburgh, USA
| | - Allison E. Aiello
- Robert N. Butler Columbia Aging Center, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Roger Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Psychological Medicine, National University Hospital, Singapore
- Institute of Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore
| | | | | | - Teodoro del Ser
- Alzheimer's Centre Reina Sofia-CIEN Foundation-ISCIII, 28031, Madrid, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Concepción De-la-Cámara
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Elena Lobo
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza CIBERSAM, Madrid, Spain
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Xin Xu
- School of Public Health, The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
- Memory, Ageing, and Cognition Centre (MACC), Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - for Cohort Studies of Memory in an International Consortium (COSMIC)
- School of Public Health, The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- Memory, Ageing, and Cognition Centre (MACC), Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- National University Health System, NUHS, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Raffles Neuroscience Centre, Raffles Hospital, Singapore
- Center for Studies in Public Health and Aging, Belo Horizonte, Brazil
- Instituto Rene' Rachou, Fundac¸ão Oswaldo Cruz, Rio de Janeiro, Brazil
- Department of Psychiatry- Federal University of Sao Paulo- UNIFESP, Sao Paulo, Brazil
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Institut for Neurosciences of Montpellier, University Montpellier, National Institute for Health and Medical Research, Montpellier, France
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, Columbia University, New York, USA
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
- Lab of Neuropsychology & Behavioral Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
- World Health Organization Collaborating Centre for Research and Training in Mental Health, Neuroscience, and Substance Abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Psychiatry and Indiana Alzheimer Disease Center Indiana School of Medicine, Indianapolis, USA
- Indiana Alzheimer Disease Research Center, Indianapolis
- Department of Physical Therapy, Federal University of Rio Grande do Norte, Brazil
- School of Rehabilitation Therapy, Kingston, Ontario, Canada
- Research Group on Geriatrics and Gerontology. Faculty of Health Sciences, Universidad de Caldas, Manizales, Colombia
- Golgi Cenci Foundation, Abbiategrasso, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Institute of Social Medicine, Occupational Health and Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany
- School of Psychology, Manawatu Campus, Massey University, Palmerston North, New Zealand
- Departments of Psychiatry, Neurology, and Epidemiology, School of Medicine and School of Public Health, University of Pittsburgh, USA
- Department of Psychiatry, School of Medicine, University of Pittsburgh, USA
- Departments of Medicine and Bioostatistics, School of Medicine and School of Public Health, University of Pittsburgh, USA
- Robert N. Butler Columbia Aging Center, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Psychological Medicine, National University Hospital, Singapore
- Institute of Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore
- Alzheimer's Centre Reina Sofia-CIEN Foundation-ISCIII, 28031, Madrid, Spain
- Department of Medicine and Psychiatry, Universidad de Zaragoza, Zaragoza, Spain
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza CIBERSAM, Madrid, Spain
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Institut du Cerveau Trocadéro, Paris, France
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, USA
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Instituto de Investigación Sanitaria Aragón, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| |
Collapse
|
3
|
Zheng P, Scheffler A, Ewing S, Hue T, Jones S, Morshed S, Mehling W, Torres-Espin A, Galivanche A, Lotz J, Peterson T, O’Neill C. Chronic Low Back Pain Causal Risk Factors Identified by Mendelian Randomization: a Cross-Sectional Cohort Analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.23.24314235. [PMID: 39399002 PMCID: PMC11469358 DOI: 10.1101/2024.09.23.24314235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/15/2024]
Abstract
Background Context There are a number of risk factors- from biological, psychological, and social domains- for non-specific chronic low back pain (cLBP). Many cLBP treatments target risk factors on the assumption that the targeted factor is not just associated with cLBP but is also a cause (i.e, a causal risk factor). In most cases this is a strong assumption, primarily due to the possibility of confounding variables. False assumptions about the causal relationships between risk factors and cLBP likely contribute to the generally marginal results from cLBP treatments. Purpose The objectives of this study were to a) using rigorous confounding control compare associations between modifiable causal risk factors identified by Mendelian randomization (MR) studies with associations in a cLBP population and b) estimate the association of these risk factors with cLBP outcomes. Study Design/Setting Cross sectional analysis of a longitudinal, online, observational study. Patient Sample 1,376 participants in BACKHOME, a longitudinal observational e-Cohort of U.S. adults with cLBP that is part of the NIH Back Pain Consortium (BACPAC) Research Program. Outcome Measures Pain, Enjoyment of Life, and General Activity (PEG) Scale. Methods Five risk factors were selected based on evidence from MR randomization studies: sleep disturbance, depression, BMI, alcohol use, and smoking status. Confounders were identified using the ESC-DAG approach, a rigorous method for building directed acyclic graphs based on causal criteria. Strong evidence for confounding was found for age, female sex, education, relationship status, financial strain, anxiety, fear avoidance and catastrophizing. These variables were used to determine the adjustment sets for the primary analysis. Potential confounders with weaker evidence were used for a sensitivity analysis. Results Participants had the following characteristics: age 54.9 ± 14.4 years, 67.4% female, 60% never smokers, 29.9% overweight, 39.5% obese, PROMIS sleep disturbance T-score 54.8 ± 8.0, PROMIS depression T-score 52.6 ± 10.1, Fear-avoidance Beliefs Questionnaire 11.6 ± 5.9, Patient Catastrophizing Scale 4.5 ± 2.6, PEG 4.4 ± 2.2. In the adjusted models alcohol use, sleep disturbance, depression, and obesity were associated with PEG, after adjusting for confounding variables identified via a DAG constructed using a rigorous protocol. The adjusted effect estimates- the expected change in the PEG outcome for every standard deviation increase or decrease in the exposure (or category shift for categorical exposures) were the largest for sleep disturbance and obesity. Each SD increase in the PROMIS sleep disturbance T-score resulted in a mean 0.77 (95% CI: 0.66, 0.88) point increase in baseline PEG score. Compared to participants with normal BMI, adjusted mean PEG score was slightly higher by 0.37 points (95% CI: 0.09, 0.65) for overweight participants, about 0.8 to 0.9 points higher for those in obesity classes I and II, and 1.39 (95% CI: 0.98, 1.80) points higher for the most obese participants. Each SD increase in the PROMIS depression T-score was associated with a mean 0.28 (95% CI: 0.17, 0.40) point increase in baseline PEG score, while each SD decrease in number of alcoholic drinks per week resulted in a mean 0.12 (95%CI: 0.01, 0.23) increase in baseline PEG score in the adjusted model. Conclusions Several modifiable causal risk factors for cLBP - alcohol use, sleep disturbance, depression, and obesity- are associated with PEG, after adjusting for confounding variables identified via a DAG constructed using a rigorous protocol. Convergence of our findings for sleep disturbance, depression, and obesity with the results from MR studies, which have different designs and biases, strengthens the evidence for causal relationships between these risk factors and cLBP (1). The estimated effect of change in a risk factors on change in PEG were the largest for sleep disturbance and obesity. Future analyses will evaluate these relationships with longitudinal data.
Collapse
Affiliation(s)
- Patricia Zheng
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Aaron Scheffler
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Susan Ewing
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Trisha Hue
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Sara Jones
- Department of Epidemiology, University of North Carolina, Chapel Hill
| | - Saam Morshed
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Wolf Mehling
- Osher Center for Integrative Medicine, Institute for Health and Aging, University of California, San Francisco
| | - Abel Torres-Espin
- Department of Physical Therapy, University of Alberta, Canada
- School of Public Health Sciences, University of Waterloo, Canada
| | - Anoop Galivanche
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Jeffrey Lotz
- Department of Orthopaedic Surgery, University of California, San Francisco
| | - Thomas Peterson
- Bakar Computational Health Sciences Institute, University of California San Francisco
- Department of Neurological Surgery, University of California San Francisco
| | - Conor O’Neill
- Department of Orthopaedic Surgery, University of California, San Francisco
| | | |
Collapse
|
4
|
Ashe J, Bentley-Edwards K, Skipper A, Cuevas A, Vieytes CM, Bah K, Evans MK, Zonderman AB, Waldstein SR. Racial Discrimination, Religious Coping, and Cardiovascular Disease Risk Among African American Women and Men. J Racial Ethn Health Disparities 2024:10.1007/s40615-024-02113-x. [PMID: 39160432 DOI: 10.1007/s40615-024-02113-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 07/10/2024] [Accepted: 07/26/2024] [Indexed: 08/21/2024]
Abstract
OBJECTIVE This cross-sectional study examined whether religious coping buffered the associations between racial discrimination and several modifiable cardiovascular disease (CVD) risk factors-systolic and diastolic blood pressure (BP), glycated hemoglobin (HbA1c), body mass index (BMI), and cholesterol-in a sample of African American women and men. METHODS Participant data were taken from the Healthy Aging in Neighborhoods of Diversity Across the Life Span study (N = 815; 55.2% women; 30-64 years old). Racial discrimination and religious coping were self-reported. CVD risk factors were clinically assessed. RESULTS In sex-stratified hierarchical regression analyses adjusted for age, socioeconomic status, and medication use, findings revealed several significant interactive associations and opposite effects by sex. Among men who experienced racial discrimination, religious coping was negatively related to systolic BP and HbA1c. However, in men reporting no prior discrimination, religious coping was positively related to most risk factors. Among women who had experienced racial discrimination, greater religious coping was associated with higher HbA1c and BMI. The lowest levels of CVD risk were observed among women who seldom used religious coping but experienced discrimination. CONCLUSION Religious coping might mitigate the effects of racial discrimination on CVD risk for African American men but not women. Additional work is needed to understand whether reinforcing these coping strategies only benefits those who have experienced discrimination. It is also possible that religion may not buffer the effects of other psychosocial stressors linked with elevated CVD risk.
Collapse
Affiliation(s)
- Jason Ashe
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Baltimore, MD, USA.
| | - Keisha Bentley-Edwards
- Duke Global Health Institute, Duke University, Durham, NC, USA
- Duke Cancer Institute, Duke University, Durham, NC, USA
- Samuel DuBois Cook Center On Social Equity, Duke University, Durham, NC, USA
| | - Antonius Skipper
- The Gerontology Institute, Georgia State University, Atlanta, GA, USA
| | - Adolfo Cuevas
- Department of Social and Behavioral Sciences, New York University School of Global Public Health, New York, NY, USA
- Center for Anti-Racism, Social Justice, and Public Health, New York University School of Global Public Health, New York, NY, USA
| | - Christian Maino Vieytes
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Baltimore, MD, USA
| | - Kristie Bah
- Department of Psychology, University of Maryland, Baltimore County, Baltimore, MD, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Baltimore, MD, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, Baltimore, MD, USA
| | - Shari R Waldstein
- Department of Psychology, University of Maryland, Baltimore County, Baltimore, MD, USA
- Division of Gerontology, Geriatrics, and Palliative Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| |
Collapse
|