1
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Hirten RP, Suprun M, Danieletto M, Zweig M, Golden E, Pyzik R, Kaur S, Helmus D, Biello A, Landell K, Rodrigues J, Bottinger EP, Keefer L, Charney D, Nadkarni GN, Suarez-Farinas M, Fayad ZA. A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort. JAMIA Open 2023; 6:ooad029. [PMID: 37143859 PMCID: PMC10152991 DOI: 10.1093/jamiaopen/ooad029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/22/2023] [Accepted: 04/06/2023] [Indexed: 05/06/2023] Open
Abstract
Objective To assess whether an individual's degree of psychological resilience can be determined from physiological metrics passively collected from a wearable device. Materials and Methods Data were analyzed in this secondary analysis of the Warrior Watch Study dataset, a prospective cohort of healthcare workers enrolled across 7 hospitals in New York City. Subjects wore an Apple Watch for the duration of their participation. Surveys were collected measuring resilience, optimism, and emotional support at baseline. Results We evaluated data from 329 subjects (mean age 37.4 years, 37.1% male). Across all testing sets, gradient-boosting machines (GBM) and extreme gradient-boosting models performed best for high- versus low-resilience prediction, stratified on a median Connor-Davidson Resilience Scale-2 score of 6 (interquartile range = 5-7), with an AUC of 0.60. When predicting resilience as a continuous variable, multivariate linear models had a correlation of 0.24 (P = .029) and RMSE of 1.37 in the testing data. A positive psychological construct, comprised of resilience, optimism, and emotional support was also evaluated. The oblique random forest method performed best in estimating high- versus low-composite scores stratified on a median of 32.5, with an AUC of 0.65, a sensitivity of 0.60, and a specificity of 0.70. Discussion In a post hoc analysis, machine learning models applied to physiological metrics collected from wearable devices had some predictive ability in identifying resilience states and a positive psychological construct. Conclusions These findings support the further assessment of psychological characteristics from passively collected wearable data in dedicated studies.
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Affiliation(s)
- Robert P Hirten
- Corresponding Author: Robert P. Hirten, MD, The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Annenberg Building RM 5-12, New York, NY 10029, USA;
| | - Maria Suprun
- Department of Population Health Science and Policy, Center for Biostatistics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Matteo Danieletto
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Micol Zweig
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Eddye Golden
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Renata Pyzik
- The BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sparshdeep Kaur
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
| | - Drew Helmus
- The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Anthony Biello
- The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kyle Landell
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
| | - Jovita Rodrigues
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
| | - Erwin P Bottinger
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
| | - Laurie Keefer
- The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dennis Charney
- Office of the Dean, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Girish N Nadkarni
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
- The Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mayte Suarez-Farinas
- Department of Population Health Science and Policy, Center for Biostatistics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Zahi A Fayad
- The BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Kachadourian L, Murrough J, Kaplan C, Kaplan S, Feingold J, Feder A, Charney D, Southwick S, Peccoralo L, DePierro J, Ripp J, Pietrzak R. A prospective study of transdiagnostic psychiatric symptoms associated with burnout and functional difficulties in COVID-19 frontline healthcare workers. J Psychiatr Res 2022; 152:219-224. [PMID: 35753241 PMCID: PMC9181632 DOI: 10.1016/j.jpsychires.2022.05.034] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 04/21/2022] [Accepted: 05/20/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Frontline healthcare workers (FHCWs) responding to the COVID-19 pandemic develop posttraumatic stress disorder (PTSD), major depressive disorder (MDD) and generalized anxiety disorder (GAD) symptoms. Such symptoms are associated with burnout, occupational and relational difficulties. In the current study, we examined the prospective association between acute transdiagnostic COVID-19-related PTSD, MDD, and GAD symptoms at pandemic outset, and burnout and functional difficulties several months later in FHCWs in New York City. METHODS Wave 1 symptoms of COVID-19-related PTSD, MDD, and GAD, were assessed in 787 FHCWs from April 14 to May 11th, 2020. Burnout and occupational difficulties were assessed at wave 1 and wave 2, approximately 7 months later. RESULTS After adjusting for wave 1 burnout, wave 1 MDD symptoms, particularly sleep difficulties, loss of interest, and feeling tired/having little energy, collectively explained 42% incremental variance in this outcome. After adjusting for wave 1 work difficulties, MDD and PTSD symptoms, particularly feeling tired/having little energy, loss of interest, and negative expectations of self/world, collectively explained 42% incremental variance in this outcome. After adjusting for wave 1 relationship difficulties, MDD, GAD, and PTSD symptoms, particularly depressed mood, irritability, and appetite disturbance, explained 26% incremental variance in this outcome. CONCLUSIONS Results highlight psychiatric symptoms assessed during the acute phase of the COVID-19 pandemic that may help predict burnout and work and relationship difficulties in FHCWs. Early interventions aimed at ameliorating transdiagnostic symptoms of MDD, PTSD, and GAD may help mitigate risk for burnout and functional difficulties in this population.
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Affiliation(s)
| | - James Murrough
- Mount Sinai School of Medicine, Icahn School of Medicine at Mount Sinai, United States
| | - Carly Kaplan
- Mount Sinai School of Medicine, Icahn School of Medicine at Mount Sinai, United States
| | - Sabrina Kaplan
- Mount Sinai School of Medicine, Icahn School of Medicine at Mount Sinai, United States
| | - Jordyn Feingold
- Mount Sinai School of Medicine, Icahn School of Medicine at Mount Sinai, United States
| | - Adriana Feder
- Mount Sinai School of Medicine, Icahn School of Medicine at Mount Sinai, United States
| | - Dennis Charney
- Mount Sinai School of Medicine, Icahn School of Medicine at Mount Sinai, United States
| | | | - Lauren Peccoralo
- Mount Sinai School of Medicine, Icahn School of Medicine at Mount Sinai, United States
| | - Jonathan DePierro
- Mount Sinai School of Medicine, Icahn School of Medicine at Mount Sinai, United States
| | - Jonathan Ripp
- Mount Sinai School of Medicine, Icahn School of Medicine at Mount Sinai, United States
| | - Robert Pietrzak
- Yale School of Medicine, Yale University School of Medicine, United States
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Hirten RP, Tomalin L, Danieletto M, Golden E, Zweig M, Kaur S, Helmus D, Biello A, Pyzik R, Bottinger EP, Keefer L, Charney D, Nadkarni GN, Suarez-Farinas M, Fayad ZA. Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers. JAMIA Open 2022; 5:ooac041. [PMID: 35677186 PMCID: PMC9129173 DOI: 10.1093/jamiaopen/ooac041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/28/2022] [Accepted: 05/15/2022] [Indexed: 11/16/2022] Open
Abstract
Objective To determine whether a machine learning model can detect SARS-CoV-2 infection from physiological metrics collected from wearable devices. Materials and Methods Health care workers from 7 hospitals were enrolled and prospectively followed in a multicenter observational study. Subjects downloaded a custom smart phone app and wore Apple Watches for the duration of the study period. Daily surveys related to symptoms and the diagnosis of Coronavirus Disease 2019 were answered in the app. Results We enrolled 407 participants with 49 (12%) having a positive nasal SARS-CoV-2 polymerase chain reaction test during follow-up. We examined 5 machine-learning approaches and found that gradient-boosting machines (GBM) had the most favorable validation performance. Across all testing sets, our GBM model predicted SARS-CoV-2 infection with an average area under the receiver operating characteristic (auROC) = 86.4% (confidence interval [CI] 84-89%). The model was calibrated to value sensitivity over specificity, achieving an average sensitivity of 82% (CI ±∼4%) and specificity of 77% (CI ±∼1%). The most important predictors included parameters describing the circadian heart rate variability mean (MESOR) and peak-timing (acrophase), and age. Discussion We show that a tree-based ML algorithm applied to physiological metrics passively collected from a wearable device can identify and predict SARS-CoV-2 infection. Conclusion Applying machine learning models to the passively collected physiological metrics from wearable devices may improve SARS-CoV-2 screening methods and infection tracking.
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Affiliation(s)
- Robert P Hirten
- Department of Medicine, The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
| | - Lewis Tomalin
- Department of Population Health Science and Policy, Center for Biostatistics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Matteo Danieletto
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Eddye Golden
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Micol Zweig
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sparshdeep Kaur
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
| | - Drew Helmus
- Department of Medicine, The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Anthony Biello
- Department of Medicine, The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Renata Pyzik
- The BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erwin P Bottinger
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
| | - Laurie Keefer
- Department of Medicine, The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dennis Charney
- Office of the Dean, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Girish N Nadkarni
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, New York, New York, USA
- The Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mayte Suarez-Farinas
- Department of Population Health Science and Policy, Center for Biostatistics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Zahi A Fayad
- The BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Kaplan CA, Chan CC, Feingold JH, Kaye-Kauderer H, Pietrzak RH, Peccoralo L, Feder A, Southwick S, Charney D, Burka L, Basist M, Ripp J, Akhtar S. Psychological Consequences Among Residents and Fellows During the COVID-19 Pandemic in New York City: Implications for Targeted Interventions. Acad Med 2021; 96:1722-1731. [PMID: 34380941 PMCID: PMC8603436 DOI: 10.1097/acm.0000000000004362] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
PURPOSE To examine the psychological impact of the COVID-19 pandemic on medical trainees (residents and fellows) working at Mount Sinai Hospital (MSH) in New York City (NYC), the initial epicenter of the United States pandemic. METHOD The authors administered a survey to 991 trainees in frontline specialties working at MSH in NYC between April and May 2020. The instrument assessed symptoms of major depressive disorder, generalized anxiety disorder, COVID-19-related posttraumatic stress disorder, and burnout. Psychiatric screens were aggregated into 1 composite measure, and meeting criteria on any of the 3 scales was considered a positive screen for psychiatric symptoms. The survey also assessed COVID-19-related exposures, worries, coping strategies, and desired interventions. Multivariable logistic regressions were conducted to identify factors associated with psychiatric symptoms and burnout. RESULTS Of the 560 respondents (56.6% response rate), 29.7% screened positive for psychiatric symptoms and 35.8% screened positive for burnout. History of a mental illness, COVID-19-related duties and personal/career worries, and coping by substance use were associated with increased likelihood of screening positive for psychiatric symptoms. Positive emotion-focused coping and feeling valued by supervisors were associated with decreased likelihood. Internal medicine and surgical specialties, a history of mental illness, increased duty hours, duty-related worries, personal/career worries, coping via self-blame and venting, and coping via substance use were associated with higher odds of burnout. Feeling valued by supervisors was associated with decreased burnout odds. The most common crisis-related needs included access to personal protective equipment, food provisions, and financial support. CONCLUSIONS Psychological distress and burnout affected approximately one-third of trainees sampled during the height of the pandemic in NYC. As the pandemic surged beyond NYC, these findings suggest that interventions should include addressing basic needs, promoting leadership affirmation, moderating duty hours, supporting trainees financially, and enhancing mental health support.
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Affiliation(s)
- Carly A. Kaplan
- C.A. Kaplan is a medical student, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Chi C. Chan
- C.C. Chan is assistant professor of psychiatry, Icahn School of Medicine at Mount Sinai, New York, and research health scientist, James J. Peters Veterans Affairs Medical Center, Bronx, New York
| | - Jordyn H. Feingold
- J.H. Feingold is a psychiatry resident, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Halley Kaye-Kauderer
- H. Kaye-Kauderer is a psychiatry resident, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Robert H. Pietrzak
- R.H. Pietrzak is associate professor of psychiatry and public health, Yale School of Medicine, New Haven, Connecticut, director, translational psychiatric epidemiology laboratory, Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for PTSD, West Haven, Connecticut, and adjunct professor of psychiatry and environmental medicine and public health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Lauren Peccoralo
- L. Peccoralo is associate dean for faculty well-being and resilience and associate professor of medicine, general internal medicine, and medical education, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, New York
| | - Adriana Feder
- A. Feder is director for research, Center for Stress, Resilience, and Personal Growth, co-director, Ehrenkranz Laboratory for the Study of Human Resilience, and associate professor of psychiatry, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, New York
| | - Steven Southwick
- S. Southwick is professor emeritus of psychiatry, Yale School of Medicine, New Haven, Connecticut, and adjunct professor of psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Dennis Charney
- D. Charney is Anne and Joel Ehrenkranz Dean, Icahn School of Medicine at Mount Sinai, and president for academic affairs, Mount Sinai Health System, New York, New York
| | - Larissa Burka
- L. Burka is a registered nurse, Mount Sinai Hospital, Mount Sinai Health System, New York, New York
| | - Madeleine Basist
- M. Basist is a third-year internal medicine resident, Mount Sinai Hospital, Mount Sinai Health System, New York, New York
| | - Jonathan Ripp
- J. Ripp is senior associate dean for well-being and resilience, chief wellness officer, and professor of medicine, medical education and geriatrics and palliative medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, New York
| | - Saadia Akhtar
- S. Akhtar is associate dean for trainee well-being and resilience and associate professor of emergency medicine and medical education, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, New York
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5
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Norman SB, Feingold JH, Kaye‐Kauderer H, Kaplan CA, Hurtado A, Kachadourian L, Feder A, Murrough JW, Charney D, Southwick SM, Ripp J, Peccoralo L, Pietrzak RH. Moral distress in frontline healthcare workers in the initial epicenter of the COVID-19 pandemic in the United States: Relationship to PTSD symptoms, burnout, and psychosocial functioning. Depress Anxiety 2021; 38:1007-1017. [PMID: 34293236 PMCID: PMC8426909 DOI: 10.1002/da.23205] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 04/21/2021] [Accepted: 06/11/2021] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Little is known about the relationship between moral distress and mental health problems. We examined moral distress in 2579 frontline healthcare workers (FHCWs) caring for coronavirus disease 2019 (COVID-19) patients during the height of the spring 2020 pandemic surge in New York City. The goals of the study were to identify common dimensions of COVID-19 moral distress; and to examine the relationship between moral distress, and positive screen for COVID-19-related posttraumatic stress disorder (PTSD) symptoms, burnout, and work and interpersonal functional difficulties. METHOD Data were collected in spring 2020, through an anonymous survey delivered to a purposively-selected sample of 6026 FHCWs at Mount Sinai Hospital; 2579 endorsed treating COVID-19 patients and provided complete survey responses. Physicians, house staff, nurses, physician assistants, social workers, chaplains, and clinical dietitians comprised the sample. RESULTS The majority of the sample (52.7%-87.8%) endorsed moral distress. Factor analyses revealed three dimensions of COVID-19 moral distress: negative impact on family, fear of infecting others, and work-related concerns. All three factors were significantly associated with severity and positive screen for COVID-19-related PTSD symptoms, burnout, and work and interpersonal difficulties. Relative importance analyses revealed that concerns about work competencies and personal relationships were most strongly related to all outcomes. CONCLUSION Moral distress is prevalent in FHCWs and includes family-, infection-, and work-related concerns. Prevention and treatment efforts to address moral distress during the acute phase of potentially morally injurious events may help mitigate risk for PTSD, burnout, and functional difficulties.
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Affiliation(s)
- Sonya B. Norman
- Executive DivisionU.S. Department of Veterans Affairs National Center for PTSDWasington, D.C.USA,Department of PsychiatryUniversity of California San Diego School of MedicineSan DiegoCaliforniaUSA
| | - Jordyn H. Feingold
- Department of Medical EducationIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Halley Kaye‐Kauderer
- Department of Medical EducationIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Carly A. Kaplan
- Department of Well‐Being and ResilienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Alicia Hurtado
- Department of Well‐Being and ResilienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA,Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Lorig Kachadourian
- Executive DivisionU.S. Department of Veterans Affairs National Center for PTSDWasington, D.C.USA,Department of PsychiatryYale School of MedicineNew HavenConnecticutUSA
| | - Adriana Feder
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - James W. Murrough
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA,Department of NeuroscienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Dennis Charney
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA,Department of NeuroscienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA,Department of Pharmacological SciencesIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Steven M. Southwick
- Executive DivisionU.S. Department of Veterans Affairs National Center for PTSDWasington, D.C.USA
| | - Jonathan Ripp
- Department of Well‐Being and ResilienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA,Department of MedicineIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Lauren Peccoralo
- Department of Medical EducationIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA,Department of Well‐Being and ResilienceIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA,Department of MedicineIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Robert H. Pietrzak
- Executive DivisionU.S. Department of Veterans Affairs National Center for PTSDWasington, D.C.USA,Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA,Department of PsychiatryYale School of MedicineNew HavenConnecticutUSA,Department of Social and Behavioral SciencesYale School of Public HealthNew HavenConnecticutUSA
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6
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Hirten RP, Danieletto M, Tomalin L, Choi KH, Zweig M, Golden E, Kaur S, Helmus D, Biello A, Pyzik R, Calcogna C, Freeman R, Sands BE, Charney D, Bottinger EP, Murrough JW, Keefer L, Suarez-Farinas M, Nadkarni GN, Fayad ZA. Factors Associated with Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data. J Med Internet Res 2021; 23:e31295. [PMID: 34379602 PMCID: PMC8439178 DOI: 10.2196/31295] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/19/2021] [Accepted: 08/07/2021] [Indexed: 11/25/2022] Open
Abstract
Background The COVID-19 pandemic has resulted in a high degree of psychological distress among health care workers (HCWs). There is a need to characterize which HCWs are at an increased risk of developing psychological effects from the pandemic. Given the differences in the response of individuals to stress, an analysis of both the perceived and physiological consequences of stressors can provide a comprehensive evaluation of its impact. Objective This study aimed to determine characteristics associated with longitudinal perceived stress in HCWs and to assess whether changes in heart rate variability (HRV), a marker of autonomic nervous system function, are associated with features protective against longitudinal stress. Methods HCWs across 7 hospitals in New York City, NY, were prospectively followed in an ongoing observational digital study using the custom Warrior Watch Study app. Participants wore an Apple Watch for the duration of the study to measure HRV throughout the follow-up period. Surveys measuring perceived stress, resilience, emotional support, quality of life, and optimism were collected at baseline and longitudinally. Results A total of 361 participants (mean age 36.8, SD 10.1 years; female: n=246, 69.3%) were enrolled. Multivariate analysis found New York City’s COVID-19 case count to be associated with increased longitudinal stress (P=.008). Baseline emotional support, quality of life, and resilience were associated with decreased longitudinal stress (P<.001). A significant reduction in stress during the 4-week period after COVID-19 diagnosis was observed in the highest tertial of emotional support (P=.03) and resilience (P=.006). Participants in the highest tertial of baseline emotional support and resilience had a significantly different circadian pattern of longitudinally collected HRV compared to subjects in the low or medium tertial. Conclusions High resilience, emotional support, and quality of life place HCWs at reduced risk of longitudinal perceived stress and have a distinct physiological stress profile. Our findings support the use of these characteristics to identify HCWs at risk of the psychological and physiological stress effects of the pandemic.
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Affiliation(s)
- Robert P Hirten
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | | | - Lewis Tomalin
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | | | - Micol Zweig
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | - Eddye Golden
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | - Sparshdeep Kaur
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | - Drew Helmus
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | - Anthony Biello
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | - Renata Pyzik
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | | | - Robert Freeman
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | - Bruce E Sands
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | - Dennis Charney
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | | | | | - Laurie Keefer
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
| | | | | | - Zahi A Fayad
- Icahn School of Medicine, 1 Gustave L Levy Place, New York, US
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7
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Kachadourian LK, Feder A, Murrough JW, Feingold JH, Kaye-Kauderer H, Charney D, Southwick SM, Peccoralo L, Ripp J, Pietrzak RH. Transdiagnostic Psychiatric Symptoms, Burnout, and Functioning in Frontline Health Care Workers Responding to the COVID-19 Pandemic: A Symptomics Analysis. J Clin Psychiatry 2021; 82. [PMID: 34004095 DOI: 10.4088/jcp.20m13766] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The coronavirus disease 2019 (COVID-19) pandemic has led to an increased risk of psychiatric symptoms among frontline health care workers (FHCWs). In the current study, a novel "symptomics" approach was employed to examine the association between acute transdiagnostic symptoms of posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and generalized anxiety disorder (GAD) and burnout and work and relationship difficulties in FHCWs at an urban tertiary care hospital in New York City. METHODS Symptoms of COVID-19-related PTSD (4-item PTSD Checklist-5), MDD (Patient Health Questionnaire-8), GAD (Generalized Anxiety Disorder-7), burnout (Single-Item Mini-Z Burnout Assessment), and functional difficulties (Brief Inventory of Psychosocial Functioning) were assessed. Relative importance analyses were conducted to identify PTSD, MDD, and GAD symptoms associated with burnout and functional difficulties. RESULTS The total number of eligible participants included 6,026 presumed FHCWs, of which 3,360 (55.8%) completed the survey and 2,579 (76.8%) of whom endorsed directly treating patients with COVID-19 and provided sufficient responses to our outcome variables for analysis. Feeling tired/having little energy, being easily annoyed or irritable, and feeling nervous, anxious, or on edge were most strongly associated with burnout; feeling tired/having little energy accounted for the greatest amount of explained variance (> 15%). Negative expectations of oneself or the world, trouble concentrating, and feeling easily annoyed or irritable were most strongly associated with work difficulties; negative expectations of oneself or the world accounted for the greatest amount of explained variance (> 9%). Feeling easily annoyed or irritable, negative expectations about oneself or the world, and feeling bad about oneself were most strongly associated with relationship difficulties; feeling easily annoyed or irritable accounted for the greatest amount of explained variance (> 10%). CONCLUSIONS Results of this study underscore the importance of a transdiagnostic, symptom-based approach when examining associations between acute psychopathology and burnout and functional difficulties in FHCWs. Further work is needed to determine if early interventions aimed at ameliorating specific psychiatric symptoms may help mitigate risk for peri- and posttraumatic burnout and functional difficulties in this population.
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Affiliation(s)
- Lorig K Kachadourian
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.,US Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, Connecticut.,Corresponding author: Lorig K. Kachadourian, PhD, VA Connecticut Healthcare System, 950 Campbell Ave, West Haven, CT 06516
| | - Adriana Feder
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - James W Murrough
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York.,Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jordyn H Feingold
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Halley Kaye-Kauderer
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Dennis Charney
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Steven M Southwick
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Lauren Peccoralo
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.,Office of Well-Being and Resilience, Icahn School of Medicine at Mount Sinai, New York, New York jDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York *Corresponding author: Lorig K. Kachadourian, PhD, VA Connecticut Healthcare System, 950 Campbell Ave, West Haven, CT 06516
| | - Jonathan Ripp
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.,Office of Well-Being and Resilience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.,US Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, Connecticut.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
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8
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Hirten RP, Danieletto M, Tomalin L, Choi KH, Zweig M, Golden E, Kaur S, Helmus D, Biello A, Pyzik R, Charney A, Miotto R, Glicksberg BS, Levin M, Nabeel I, Aberg J, Reich D, Charney D, Bottinger EP, Keefer L, Suarez-Farinas M, Nadkarni GN, Fayad ZA. Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study. J Med Internet Res 2021; 23:e26107. [PMID: 33529156 PMCID: PMC7901594 DOI: 10.2196/26107] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 01/14/2021] [Accepted: 01/29/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Changes in autonomic nervous system function, characterized by heart rate variability (HRV), have been associated with infection and observed prior to its clinical identification. OBJECTIVE We performed an evaluation of HRV collected by a wearable device to identify and predict COVID-19 and its related symptoms. METHODS Health care workers in the Mount Sinai Health System were prospectively followed in an ongoing observational study using the custom Warrior Watch Study app, which was downloaded to their smartphones. Participants wore an Apple Watch for the duration of the study, measuring HRV throughout the follow-up period. Surveys assessing infection and symptom-related questions were obtained daily. RESULTS Using a mixed-effect cosinor model, the mean amplitude of the circadian pattern of the standard deviation of the interbeat interval of normal sinus beats (SDNN), an HRV metric, differed between subjects with and without COVID-19 (P=.006). The mean amplitude of this circadian pattern differed between individuals during the 7 days before and the 7 days after a COVID-19 diagnosis compared to this metric during uninfected time periods (P=.01). Significant changes in the mean and amplitude of the circadian pattern of the SDNN was observed between the first day of reporting a COVID-19-related symptom compared to all other symptom-free days (P=.01). CONCLUSIONS Longitudinally collected HRV metrics from a commonly worn commercial wearable device (Apple Watch) can predict the diagnosis of COVID-19 and identify COVID-19-related symptoms. Prior to the diagnosis of COVID-19 by nasal swab polymerase chain reaction testing, significant changes in HRV were observed, demonstrating the predictive ability of this metric to identify COVID-19 infection.
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Affiliation(s)
- Robert P Hirten
- The Dr Henry D Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Matteo Danieletto
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Lewis Tomalin
- Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Katie Hyewon Choi
- Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Micol Zweig
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Eddye Golden
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Sparshdeep Kaur
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Drew Helmus
- The Dr Henry D Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Anthony Biello
- The Dr Henry D Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Renata Pyzik
- The BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Alexander Charney
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Riccardo Miotto
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Benjamin S Glicksberg
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Matthew Levin
- Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Ismail Nabeel
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Judith Aberg
- Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - David Reich
- Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Dennis Charney
- Office of the Dean, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Erwin P Bottinger
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Laurie Keefer
- The Dr Henry D Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Mayte Suarez-Farinas
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Girish N Nadkarni
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Zahi A Fayad
- The BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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9
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Abstract
Resilience is broadly defined as the ability to bounce back from adversity or trauma. Recent advances in resilience research have shifted away from merely describing individual characteristics towards focusing on the complex interactions between individuals and their dynamic personal, community and cultural contexts. It is clear that resilience involves both neurobiological and cultural processes. Neurobiological contributions include genes, epigenetics, stress-response systems, the immune system and neural circuitry. Culture helps to elucidate collective systems of belief and accepted positive adaptations. Importantly, resilience can also be affected by evidence-based interventions and deliberate practice on the part of the individual. This review seeks to understand resilience as a complex and active process that is shaped by neurobiological profiles, developmental experiences, cultural and temporal contexts, and practical training. It uses the COVID-19 pandemic as a case example to better understand individual and group responses to tragedy. We suggest practical recommendations to help populations around the world cope and recover from the global threat of COVID-19.
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10
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Feingold JH, Peccoralo L, Chan CC, Kaplan CA, Kaye-Kauderer H, Charney D, Verity J, Hurtado A, Burka L, Syed SA, Murrough JW, Feder A, Pietrzak RH, Ripp J. Psychological Impact of the COVID-19 Pandemic on Frontline Health Care Workers During the Pandemic Surge in New York City. ACTA ACUST UNITED AC 2021; 5:2470547020977891. [PMID: 33598592 PMCID: PMC7863176 DOI: 10.1177/2470547020977891] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 11/11/2020] [Indexed: 11/30/2022]
Abstract
Background This study sought to assess the magnitude of and factors associated with mental health outcomes among frontline health care workers (FHCWs) providing care during the Spring 2020 COVID-19 pandemic surge in New York City. Methods A cross-sectional, survey-based study over 4 weeks during the Spring 2020 pandemic surge was used to assess symptoms of COVID-19-related posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and generalized anxiety disorder (GAD) in 2,579 FHCWs at the Mount Sinai Hospital. Participants were additionally asked about their occupational and personal exposures to COVID-19. Multivariable logistic regression and relative importance analyses were conducted to identify factors associated with these outcomes. Results A total of 3,360 of 6,026 individuals completed the survey (55.8% participation), with 2,579 (76.8%) analyzed based on endorsing frontline responsibilities and providing information related to the three outcomes. 1,005 (39.0%) met criteria for symptoms of COVID-19-related PTSD, MDD, or GAD. 599 (23.3%) screened positively for PTSD symptoms, 683 (26.6%) for MDD symptoms, and 642 (25.0%) for GAD symptoms. Multivariable analyses revealed that past-year burnout was associated with the highest risk of developing symptoms for COVID-19-related PTSD (odds ratio [OR] = 2.10), MDD (OR = 2.83), and GAD (OR = 2.68). Higher perceived support from hospital leadership was associated with a lowest risk of all outcomes [PTSD (OR = 0.75), MDD (OR = 0.72), and GAD (OR = 0.76). Conclusion In this large sample of FHCWs providing care during the 2020 NYC pandemic surge, 39% experienced symptoms of COVID-19-related PTSD, MDD, and/or GAD and pre-pandemic burnout as well as leadership support were identified as the most highly associated factors. These findings suggest that interventions aimed at reducing burnout and augmenting support from hospital leadership may be appropriate targets to mitigate the risk for developing further psychopathology in this population and others working in the midst of crisis.
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Affiliation(s)
- Jordyn H Feingold
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lauren Peccoralo
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, NY, USA
| | - Chi C Chan
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carly A Kaplan
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Halley Kaye-Kauderer
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dennis Charney
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jaclyn Verity
- Department of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, NY, USA
| | - Alicia Hurtado
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Larissa Burka
- Department of nursing, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shumayl A Syed
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - James W Murrough
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Depression and Anxiety Center for Discovery and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adriana Feder
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,U.S. Department of Veterans Affairs National Center for PTSD, West Haven, CT, USA
| | - Jonathan Ripp
- Department of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, NY, USA
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11
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Pietrzak RH, Feingold JH, Feder A, Charney D, Peccoralo L, Southwick S, Ripp J. Psychological Resilience in Frontline Health Care Workers During the Acute Phase of the COVID-19 Pandemic in New York City. J Clin Psychiatry 2020; 82:20l13749. [PMID: 33378141 PMCID: PMC8078485 DOI: 10.4088/jcp.20l13749] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Robert H. Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut,U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, Connecticut,Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, Connecticut
| | - Jordyn H. Feingold
- Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Adriana Feder
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Dennis Charney
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Lauren Peccoralo
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Steven Southwick
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Jonathan Ripp
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
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12
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Paranjpe I, Russak AJ, De Freitas JK, Lala A, Miotto R, Vaid A, Johnson KW, Danieletto M, Golden E, Meyer D, Singh M, Somani S, Kapoor A, O'Hagan R, Manna S, Nangia U, Jaladanki SK, O'Reilly P, Huckins LM, Glowe P, Kia A, Timsina P, Freeman RM, Levin MA, Jhang J, Firpo A, Kovatch P, Finkelstein J, Aberg JA, Bagiella E, Horowitz CR, Murphy B, Fayad ZA, Narula J, Nestler EJ, Fuster V, Cordon-Cardo C, Charney D, Reich DL, Just A, Bottinger EP, Charney AW, Glicksberg BS, Nadkarni GN. Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City. BMJ Open 2020; 10:e040736. [PMID: 33247020 PMCID: PMC7702220 DOI: 10.1136/bmjopen-2020-040736] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 10/24/2020] [Accepted: 10/26/2020] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE The COVID-19 pandemic is a global public health crisis, with over 33 million cases and 999 000 deaths worldwide. Data are needed regarding the clinical course of hospitalised patients, particularly in the USA. We aimed to compare clinical characteristic of patients with COVID-19 who had in-hospital mortality with those who were discharged alive. DESIGN Demographic, clinical and outcomes data for patients admitted to five Mount Sinai Health System hospitals with confirmed COVID-19 between 27 February and 2 April 2020 were identified through institutional electronic health records. We performed a retrospective comparative analysis of patients who had in-hospital mortality or were discharged alive. SETTING All patients were admitted to the Mount Sinai Health System, a large quaternary care urban hospital system. PARTICIPANTS Participants over the age of 18 years were included. PRIMARY OUTCOMES We investigated in-hospital mortality during the study period. RESULTS A total of 2199 patients with COVID-19 were hospitalised during the study period. As of 2 April, 1121 (51%) patients remained hospitalised, and 1078 (49%) completed their hospital course. Of the latter, the overall mortality was 29%, and 36% required intensive care. The median age was 65 years overall and 75 years in those who died. Pre-existing conditions were present in 65% of those who died and 46% of those discharged. In those who died, the admission median lymphocyte percentage was 11.7%, D-dimer was 2.4 μg/mL, C reactive protein was 162 mg/L and procalcitonin was 0.44 ng/mL. In those discharged, the admission median lymphocyte percentage was 16.6%, D-dimer was 0.93 μg/mL, C reactive protein was 79 mg/L and procalcitonin was 0.09 ng/mL. CONCLUSIONS In our cohort of hospitalised patients, requirement of intensive care and mortality were high. Patients who died typically had more pre-existing conditions and greater perturbations in inflammatory markers as compared with those who were discharged.
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Affiliation(s)
- Ishan Paranjpe
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
| | - Adam J Russak
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jessica K De Freitas
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Anuradha Lala
- The Zena and Michael A. Wiener Cardiovascular Institute, New York, New York, USA
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Riccardo Miotto
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Akhil Vaid
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kipp W Johnson
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Matteo Danieletto
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Eddye Golden
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dara Meyer
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Manbir Singh
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
| | - Sulaiman Somani
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
| | - Arjun Kapoor
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
| | - Ross O'Hagan
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
| | - Sayan Manna
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
| | - Udit Nangia
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
| | - Suraj K Jaladanki
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
| | - Paul O'Reilly
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Laura M Huckins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Patricia Glowe
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Arash Kia
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Prem Timsina
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Robert M Freeman
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Matthew A Levin
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Institute for Healthcare Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jeffrey Jhang
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Adolfo Firpo
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Patricia Kovatch
- Mount Sinai Data Warehouse, Mount Sinai Health System, New York, New York, USA
| | - Joseph Finkelstein
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Judith A Aberg
- Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA
| | - Emilia Bagiella
- The Zena and Michael A. Wiener Cardiovascular Institute, New York, New York, USA
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Carol R Horowitz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA
| | - Barbara Murphy
- Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA
| | - Zahi A Fayad
- Icahn School of Medicine at Mount Sinai BioMedical Engineering and Imaging Institute, New York, New York, USA
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA
- Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Eric J Nestler
- Icahn School of Medicine at Mount Sinai Friedman Brain Institute, New York, New York, USA
- The Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - V Fuster
- Department of Medicine, Division of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Carlos Cordon-Cardo
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dennis Charney
- Icahn School of Medicine at Mount Sinai Department of Psychiatry, New York, New York, USA
- The Office of the Dean, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - David L Reich
- Icahn School of Medicine at Mount Sinai Department of Anesthesiology Perioperative and Pain Medicine, New York, New York, USA
| | - Allan Just
- Icahn School of Medicine at Mount Sinai Department of Environmental Medicine and Public Health, New York, New York, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erwin P Bottinger
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
| | - Alexander W Charney
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Benjamin S Glicksberg
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Girish N Nadkarni
- The Hasso Plattner Institute for Digital Health at Mount Sinai, New York, New York, USA
- Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Wang Z, Zheutlin A, Kao YH, Ayers K, Gross S, Kovatch P, Nirenberg S, Charney A, Nadkarni G, De Freitas JK, O'Reilly P, Just A, Horowitz C, Martin G, Branch A, Glicksberg BS, Charney D, Reich D, Oh WK, Schadt E, Chen R, Li L. Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records. BMJ Open 2020; 10:e040441. [PMID: 33109676 PMCID: PMC7592304 DOI: 10.1136/bmjopen-2020-040441] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 09/28/2020] [Accepted: 10/07/2020] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To assess association of clinical features on COVID-19 patient outcomes. DESIGN Retrospective observational study using electronic medical record data. SETTING Five member hospitals from the Mount Sinai Health System in New York City (NYC). PARTICIPANTS 28 336 patients tested for SARS-CoV-2 from 24 February 2020 to 15 April 2020, including 6158 laboratory-confirmed COVID-19 cases. MAIN OUTCOMES AND MEASURES Positive test rates and in-hospital mortality were assessed for different racial groups. Among positive cases admitted to the hospital (N=3273), we estimated HR for both discharge and death across various explanatory variables, including patient demographics, hospital site and unit, smoking status, vital signs, lab results and comorbidities. RESULTS Hispanics (29%) and African Americans (25%) had disproportionately high positive case rates relative to their representation in the overall NYC population (p<0.05); however, no differences in mortality rates were observed in hospitalised patients based on race. Outcomes differed significantly between hospitals (Gray's T=248.9; p<0.05), reflecting differences in average baseline age and underlying comorbidities. Significant risk factors for mortality included age (HR 1.05, 95% CI 1.04 to 1.06; p=1.15e-32), oxygen saturation (HR 0.985, 95% CI 0.982 to 0.988; p=1.57e-17), care in intensive care unit areas (HR 1.58, 95% CI 1.29 to 1.92; p=7.81e-6) and elevated creatinine (HR 1.75, 95% CI 1.47 to 2.10; p=7.48e-10), white cell count (HR 1.02, 95% CI 1.01 to 1.04; p=8.4e-3) and body mass index (BMI) (HR 1.02, 95% CI 1.00 to 1.03; p=1.09e-2). Deceased patients were more likely to have elevated markers of inflammation. CONCLUSIONS While race was associated with higher risk of infection, we did not find racial disparities in inpatient mortality suggesting that outcomes in a single tertiary care health system are comparable across races. In addition, we identified key clinical features associated with reduced mortality and discharge. These findings could help to identify which COVID-19 patients are at greatest risk of a severe infection response and predict survival.
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Affiliation(s)
| | | | | | | | - Susan Gross
- Sema4, Stamford, Connecticut, USA
- Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Patricia Kovatch
- Mount Sinai Data Warehouse, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sharon Nirenberg
- Mount Sinai Data Warehouse, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Alexander Charney
- Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Girish Nadkarni
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jessica K De Freitas
- Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Paul O'Reilly
- Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Allan Just
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Carol Horowitz
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Glenn Martin
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Andrea Branch
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Benjamin S Glicksberg
- Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dennis Charney
- The Office of the Dean, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - David Reich
- Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - William K Oh
- Tisch Cancer Institute and Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Eric Schadt
- Sema4, Stamford, Connecticut, USA
- Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Rong Chen
- Sema4, Stamford, Connecticut, USA
- Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Li Li
- Sema4, Stamford, Connecticut, USA
- Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Ripp J, Peccoralo L, Charney D. Attending to the Emotional Well-Being of the Health Care Workforce in a New York City Health System During the COVID-19 Pandemic. Acad Med 2020; 95:1136-1139. [PMID: 32282344 PMCID: PMC7176260 DOI: 10.1097/acm.0000000000003414] [Citation(s) in RCA: 175] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
The COVID-19 pandemic has placed an enormous strain on health care workers, and its potential impact has implications for the physical and emotional well-being of the workforce. As hospital systems run well over capacity, facing possible shortages of critical care medical resources and personal protective equipment as well as clinician deaths, the psychological stressors necessitate a strong well-being support model for staff. At the Mount Sinai Health System (MSHS) in New York City, health care workers have been heroically providing frontline care to COVID-19 patients while facing their own appropriate fears for their personal safety in the setting of contagion. This moral obligation cannot be burdened by unacceptable risks; the health system's full support is required to address the needs of its workforce.In this Invited Commentary, the authors describe how an MSHS Employee, Faculty, and Trainee Crisis Support Task Force-created in early March 2020 and composed of behavioral health, human resources, and well-being leaders from across the health system-used a rapid needs assessment model to capture the concerns of the workforce related to the COVID-19 pandemic. The task force identified 3 priority areas central to promoting and maintaining the well-being of the entire MSHS workforce during the pandemic: meeting basic daily needs; enhancing communications for delivery of current, reliable, and reassuring messages; and developing robust psychosocial and mental health support options. Using a work group strategy, the task force operationalized the rollout of support initiatives for each priority area. Attending to the emotional well-being of health care workers has emerged as a central element in the MSHS COVID-19 response, which continues to be committed to the physical and emotional needs of a workforce that courageously faces this crisis.
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Affiliation(s)
- Jonathan Ripp
- J. Ripp is senior associate dean for well-being and resilience, Icahn School of Medicine at Mount Sinai, and chief wellness officer, Mount Sinai Health System, New York, New York
| | - Lauren Peccoralo
- L. Peccoralo is associate dean for faculty well-being and resilience, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, New York
| | - Dennis Charney
- D. Charney is Anne and Joel Ehrenkranz Dean, Icahn School of Medicine at Mount Sinai, and president for academic affairs, Mount Sinai Health System, New York, New York
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15
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Southwick SM, Sippel L, Krystal J, Charney D, Mayes L, Pietrzak R. Why are some individuals more resilient than others: the role of social support. World Psychiatry 2016; 15:77-9. [PMID: 26833614 PMCID: PMC4780285 DOI: 10.1002/wps.20282] [Citation(s) in RCA: 140] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Steven M. Southwick
- National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare SystemWest HavenCTUSA,Yale University School of MedicineNew HavenCTUSA,Icahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Lauren Sippel
- National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare SystemWest HavenCTUSA,Yale University School of MedicineNew HavenCTUSA
| | - John Krystal
- National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare SystemWest HavenCTUSA,Yale University School of MedicineNew HavenCTUSA
| | | | - Linda Mayes
- Yale University School of MedicineNew HavenCTUSA
| | - Robb Pietrzak
- National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare SystemWest HavenCTUSA,Yale University School of MedicineNew HavenCTUSA,Icahn School of Medicine at Mount SinaiNew YorkNYUSA
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16
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Lekman M, Hössjer O, Andrews P, Källberg H, Uvehag D, Charney D, Manji H, Rush JA, McMahon FJ, Moore JH, Kockum I. The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study. BioData Min 2014; 7:19. [PMID: 25279001 PMCID: PMC4181757 DOI: 10.1186/1756-0381-7-19] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2014] [Accepted: 07/28/2014] [Indexed: 12/17/2022] Open
Abstract
Background Genetic contributions to major depressive disorder (MDD) are thought to result from multiple genes interacting with each other. Different procedures have been proposed to detect such interactions. Which approach is best for explaining the risk of developing disease is unclear. This study sought to elucidate the genetic interaction landscape in candidate genes for MDD by conducting a SNP-SNP interaction analysis using an exhaustive search through 3,704 SNP-markers in 1,732 cases and 1,783 controls provided from the GAIN MDD study. We used three different methods to detect interactions, two logistic regressions models (multiplicative and additive) and one data mining and machine learning (MDR) approach. Results Although none of the interaction survived correction for multiple comparisons, the results provide important information for future genetic interaction studies in complex disorders. Among the 0.5% most significant observations, none had been reported previously for risk to MDD. Within this group of interactions, less than 0.03% would have been detectable based on main effect approach or an a priori algorithm. We evaluated correlations among the three different models and conclude that all three algorithms detected the same interactions to a low degree. Although the top interactions had a surprisingly large effect size for MDD (e.g. additive dominant model Puncorrected = 9.10E-9 with attributable proportion (AP) value = 0.58 and multiplicative recessive model with Puncorrected = 6.95E-5 with odds ratio (OR estimated from β3) value = 4.99) the area under the curve (AUC) estimates were low (< 0.54). Moreover, the population attributable fraction (PAF) estimates were also low (< 0.15). Conclusions We conclude that the top interactions on their own did not explain much of the genetic variance of MDD. The different statistical interaction methods we used in the present study did not identify the same pairs of interacting markers. Genetic interaction studies may uncover previously unsuspected effects that could provide novel insights into MDD risk, but much larger sample sizes are needed before this strategy can be powerfully applied.
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Affiliation(s)
- Magnus Lekman
- Department of Clinical Neuroscience, Neuroimmunology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Ola Hössjer
- Department of Mathematics, Stockholm University, Stockholm, Sweden
| | - Peter Andrews
- Institute of Quantitative Biomedical Science, Department of Genetics and Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Henrik Källberg
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Uvehag
- Department of Clinical Neuroscience, Neuroimmunology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Dennis Charney
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, USA
| | - Husseini Manji
- Laboratory of Molecular Pathophysiology, NIMH, NIH, Department of Health & Human Services (DHHS), Bethesda, USA
| | - John A Rush
- Academic Medical Research Institute, Duke-National University of Singapore, Singapore, Singapore
| | - Francis J McMahon
- Genetic Basis of Mood & Anxiety Disorders Section, Human Genetic Branch, NIMH, NIH, Department of Health & Human Services (DHHS), Bethesda, USA
| | - Jason H Moore
- Institute of Quantitative Biomedical Science, Department of Genetics and Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Ingrid Kockum
- Department of Clinical Neuroscience, Neuroimmunology Unit, Karolinska Institutet, Stockholm, Sweden
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Abstract
OBJECTIVE To explore the psychosocial characteristics of living liver and kidney donors to identify common traits including personality traits, purpose in life, resilience, and post donation growth. METHODS Questionnaires were mailed to 835 living donors. Included were a survey of demographic characteristics and donation experiences, the NEO Five-Factor Inventory, the Purpose in Life Scale, the Posttraumatic Growth Inventory, and the Connor-Davidson Resilience Scale. Analyses compared the donor groups with the scale norms (where available) and compared differences between donor groups. RESULTS Eighteen percent of donors (n=151) responded anonymously. The sample was as resilient as the general population and significantly more resilient than the population of primary care patients. Kidney donors were significantly more resilient than liver donors. Live donors demonstrated scores on the NEO Five-Factor Inventory in the "high" range for agreeableness and conscientiousness and "low" for neuroticism. Kidney donors scored significantly lower on the neuroticism scale than liver donors scored. Purpose in Life scores and Post Donation Growth scores were skewed and were overwhelmingly high in this sample. Additional differences in psychosocial variables are also described. CONCLUSION Live donors are resilient and show adaptive personality traits. It is difficult to conclude whether these traits were inspired by the act of donation or if they make one more apt to choose donation. Moreover, the study methods introduce the possibility of selection bias: those with certain characteristics may have been more likely to respond. Prospective studies before and after donation are warranted.
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18
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Wu G, Feder A, Wegener G, Bailey C, Saxena S, Charney D, Mathé AA. Central functions of neuropeptide Y in mood and anxiety disorders. Expert Opin Ther Targets 2012; 15:1317-31. [PMID: 21995655 DOI: 10.1517/14728222.2011.628314] [Citation(s) in RCA: 115] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Neuropeptide Y (NPY) is a highly conserved neuropeptide belonging to the pancreatic polypeptide family. Its potential role in the etiology and pathophysiology of mood and anxiety disorders has been extensively studied. NPY also has effects on feeding behavior, ethanol intake, sleep regulation, tissue growth and remodeling. Findings from animal studies have delineated the physiological and behavioral effects mediated by specific NPY receptor subtypes, of which Y1 and Y2 are the best understood. AREAS COVERED Physiological roles and alterations of the NPYergic system in anxiety disorders, depression, posttraumatic stress disorder (PTSD), alcohol dependence and epilepsy. For each disorder, studies in animal models and human investigations are outlined and discussed, focusing on behavior, neurophysiology, genetics and potential for novel treatment targets. EXPERT OPINION The wide implications of NPY in psychiatric disorders such as depression and PTSD make the NPYergic system a promising target for the development of novel therapeutic interventions. These include intranasal NPY administration, currently under study, and the development of agonists and antagonists targeting NPY receptors. Therefore, we are proposing that via this mode of administration, NPY might exert CNS therapeutic actions without untoward systemic effects. Future work will show if this is a feasible approach.
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Affiliation(s)
- Gang Wu
- Karolinska Institutet-Clinical Neuroscience, Stockholm, Sweden
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19
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Gill J, Luckenbaugh D, Charney D, Vythilingam M. Sustained elevation of serum interleukin-6 and relative insensitivity to hydrocortisone differentiates posttraumatic stress disorder with and without depression. Biol Psychiatry 2010; 68:999-1006. [PMID: 20951370 DOI: 10.1016/j.biopsych.2010.07.033] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2009] [Revised: 07/21/2010] [Accepted: 07/23/2010] [Indexed: 01/06/2023]
Abstract
BACKGROUND Elevated levels of proinflammatory cytokines, especially interleukin-6 (IL-6), can mediate the greater risk for cardiovascular disease in individuals with posttraumatic stress disorder (PTSD), particularly in those with comorbid major depressive disorder (MDD). However, IL-6 levels are not consistently elevated in either PTSD or MDD. Although PTSD is associated with supersensitivity to glucocorticoids; prior studies have not evaluated the effect of comorbid MDD. METHODS Serum IL-6 levels were measured hourly between 7:00 pm and 7:00 am in individuals with PTSD with comorbid MDD (PTSD + MDD) (n = 9) and compared with those with PTSD without MDD (PTSD - MDD) (n = 9) and nontraumatized healthy control subjects (n = 14). Group differences in serum IL-6, plasma adrenocorticotropic hormone (ACTH), and plasma cortisol response to 30 mg of intravenous hydrocortisone were evaluated using linear mixed models. RESULTS Only subjects with PTSD + MDD exhibited higher, overnight serum IL-6 levels compared with individuals with PTSD - MDD (p < .01) and healthy control subjects (p < .001). Peak overnight IL-6 levels positively correlated with severity of PTSD (r = .56, p < .01) and depressive symptoms (r = .54, p < .01). Hydrocortisone administration significantly reduced IL-6 levels in both PTSD groups; however, IL-6 levels in PTSD + MDD were higher than both PTSD - MDD (p < .05) and healthy control subjects (p < .01). Following hydrocortisone administration, there was a greater reduction in levels of ACTH in PTSD - MDD compared with control subjects (p < .01). CONCLUSIONS Sustained elevations of overnight IL-6 levels and relatively decreased sensitivity to hydrocortisone distinguish PTSD + MDD from PTSD - MDD. Novel strategies that decrease IL-6 levels offer a new direction in the prevention and treatment of PTSD and associated comorbid medical illnesses.
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Affiliation(s)
- Jessica Gill
- National Institutes of Nursing Research, Bethesda, Maryland, USA
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20
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Vythilingam M, Gill JM, Luckenbaugh DA, Gold PW, Collin C, Bonne O, Plumb K, Polignano E, West K, Charney D. Low early morning plasma cortisol in posttraumatic stress disorder is associated with co-morbid depression but not with enhanced glucocorticoid feedback inhibition. Psychoneuroendocrinology 2010; 35:442-50. [PMID: 19766403 DOI: 10.1016/j.psyneuen.2009.08.006] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2009] [Revised: 06/29/2009] [Accepted: 08/13/2009] [Indexed: 10/20/2022]
Abstract
BACKGROUND Co-morbid major depressive disorder (MDD) in individuals with posttraumatic stress disorder (PTSD) confers a more severe clinical course and is associated with distinct biologic abnormalities. Although dysregulation in the hypothalamic pituitary adrenal (HPA) axis has been well established in PTSD, the impact of commonly co-occuring MDD has received scant attention. METHODS Overnight (7p.m. to 7a.m.) plasma cortisol, adrenocorticotropic hormone (ACTH), dehydroepiandrosterone sulphate (DHEA-S) were measured at 30 min intervals in 9 participants with PTSD with MDD (PTSD+MDD), 9 with PTSD without MDD (PTSD-MDD) and 16 non-traumatized healthy controls. A low-dose dexamethasone suppression test was administered to evaluate feedback sensitivity to glucocorticoids. Linear mixed models with body mass index (BMI) and age as covariates and Bonferroni corrected post hoc tests assessed group differences. RESULTS Compared to healthy controls, subjects with PTSD+MDD, but not those subjects with PTSD-MDD, exhibited lower basal plasma cortisol levels between 1:30 a.m. and 3:30 a.m. and at 4:30 a.m. and 6:30 a.m. (effect size d=0.75). Despite similar plasma ACTH levels between the three groups, the ACTH/cortisol ratio was higher in PTSD+MDD patients compared to controls. We obtained similar results when the patient and control groups were re-studied 1 week later, and when men and current smokers were excluded. Basal plasma DHEA-S levels, and cortisol and ACTH response to a low-dose dexamethasone suppression test were similar in all three groups. CONCLUSIONS Lower early morning plasma cortisol levels and a high ACTH/cortisol ratio in subjects with PTSD and co-morbid MDD may not be due to enhanced peripheral sensitivity to glucocorticoids. A central abnormality in glucocorticoid regulation could explain HPA axis dysfunction in this subgroup.
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Affiliation(s)
- M Vythilingam
- Mood and Anxiety Disorders Program, National Institute of Mental Health, Bethesda, MD 20892, USA.
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21
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22
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Lekman M, Laje G, Charney D, Rush AJ, Wilson AF, Sorant AJM, Lipsky R, Wisniewski SR, Manji H, McMahon FJ, Paddock S. The FKBP5-gene in depression and treatment response--an association study in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Cohort. Biol Psychiatry 2008; 63:1103-10. [PMID: 18191112 PMCID: PMC2587308 DOI: 10.1016/j.biopsych.2007.10.026] [Citation(s) in RCA: 200] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2007] [Revised: 10/30/2007] [Accepted: 10/30/2007] [Indexed: 11/29/2022]
Abstract
BACKGROUND In a recent study of several antidepressant drugs in hospitalized, non-Hispanic White patients, Binder et al. reported association of markers located within the FKBP5 gene with treatment response after 2 and 5 weeks. Individuals homozygous for the TT-genotype at one of the markers (rs1360780) reported more depressive episodes and responded better to antidepressant treatment. There was no association between markers in FKBP5 and disease. The present study aimed at studying the associated FKBP5 markers in the ethnically diverse Sequenced Treatment Alternatives to Relieve Depression (STAR*D) sample of non-hospitalized patients treated with citalopram. METHODS We used clinical data and DNA samples from 1809 outpatients with non-psychotic major depressive disorder (DSM-IV criteria), who received up to 14 weeks of citalopram. A subset of 1523 patients of White non-Hispanic or Black race was matched with 739 control subjects for a case-control analysis. The markers rs1360780 and rs4713916 were genotyped on the Illumina platform. TaqMan-assay was used for marker rs3800373. RESULTS In the case-control analysis, marker rs1360780 was significantly associated with disease status in the White non-Hispanic sample after correction for multiple testing. A significant association was also found between rs4713916 and remission. Markers rs1360780 and rs4713916 were in strong linkage disequilibrium in the White non-Hispanic but not in the Black population. There was no significant difference in the number of previous episodes of depression between genotypes at any of the three markers. CONCLUSIONS These results indicate that FKBP5 is an important target for further studies of depression and treatment response.
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Affiliation(s)
- Magnus Lekman
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Gonzalo Laje
- Genetic Basis of Mood & Anxiety disorders, Mood & Anxiety program, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Dept. of Health & Human Services (DHHS), Bethesda, MD
| | - Dennis Charney
- Department of Psychiatry, Neuroscience, and Pharmacology & Biological Chemistry, Mount Sinai School of Medicine, New York, NY
| | - A. John Rush
- Departments of Clinical Sciences and Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX
| | - Alexander F. Wilson
- Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, NIH, DHHS, Baltimore, MD
| | - Alexa J. M. Sorant
- Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, NIH, DHHS, Baltimore, MD
| | - Robert Lipsky
- Section of Molecular Genetics, Laboratory of Neurogenetics, National Institute on Alcohol Abuse & Alcoholism, NIH, DHHS, Rockville, MD
| | | | - Husseini Manji
- Laboratory of Molecular Pathophysiology, Mood & Anxiety Program, NIMH, NIH, DHHS, Bethesda, MD
| | - Francis J. McMahon
- Genetic Basis of Mood & Anxiety disorders, Mood & Anxiety program, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Dept. of Health & Human Services (DHHS), Bethesda, MD
| | - Silvia Paddock
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden,Genetic Basis of Mood & Anxiety disorders, Mood & Anxiety program, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Dept. of Health & Human Services (DHHS), Bethesda, MD
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Abstract
OBJECTIVE Suicidal ideation is an uncommon symptom than can emerge during antidepressant treatment. The biological basis of treatment-emergent suicidal ideation is unknown. Genetic markers may shed light on the causes of treatment-emergent suicidal ideation and help identify individuals at high risk who may benefit from closer monitoring, alternative treatments, or specialty care. METHOD A clinically representative cohort of outpatients with major depressive disorder who enrolled in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial were treated with citalopram under a standard protocol for up to 14 weeks. DNA samples from 1,915 participants were genotyped for 768 single-nucleotide polymorphisms in 68 candidate genes. Allele and genotype frequencies were compared between the 120 participants who developed treatment-emergent suicidal ideation and those who did not. RESULTS Two markers were significantly associated with treatment-emergent suicidal ideation in this sample (marker rs4825476, p=0.0000784, odds ratio=1.94; permutation p=0.01; marker rs2518224, p=0.0000243, odds ratio=8.23; permutation p=0.003). These markers reside within the genes GRIA3 and GRIK2, respectively, both of which encode ionotropic glutamate receptors. CONCLUSIONS Markers within GRIK2 and GRIA3 were associated with treatment-emergent suicidal ideation during citalopram therapy. If replicated, these findings may shed light on the biological basis of this potentially dangerous adverse event and help identify patients at increased risk.
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Affiliation(s)
- Gonzalo Laje
- Genetic Basis of Mood and Anxiety Disorders, NIMH, 35 Convent Dr., Rm. 1A207, Bethesda, MD 20892-3719, USA.
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Paddock S, Laje G, Charney D, Rush AJ, Wilson AF, Sorant AJM, Lipsky R, Wisniewski SR, Manji H, McMahon FJ. Association of GRIK4 with outcome of antidepressant treatment in the STAR*D cohort. Am J Psychiatry 2007; 164:1181-8. [PMID: 17671280 DOI: 10.1176/appi.ajp.2007.06111790] [Citation(s) in RCA: 162] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE An initial pharmacogenetic study of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) clinical trial reported an association between genetic variation in the HTR2A gene and outcome of citalopram treatment. By design, the study analyzed only those markers that showed reproducible association in the first wave of genotypes (comprising 1,297 patients) in the complete cohort of patients. The purpose of the present study was to utilize a second wave of genotype results, for a more powerful analysis, in the complete cohort of patients with available deoxyribonucleic acid (DNA) samples. METHOD The authors tested the association between treatment response and 768 markers that were genotyped in the full set of 1,816 eligible patients from the STAR*D cohort. In order to control for multiple testing, the subjects were divided into two study groups: discovery and replication. RESULTS In addition to the previously identified marker in the HTR2A gene, a new marker (rs1954787) in the GRIK4 gene, which codes for the kainic acid-type glutamate receptor KA1, was observed. The effect size of the GRIK4 marker alone was modest, but homozygote carriers of the treatment-response-associated marker alleles of both the GRIK4 and HTR2A genes were 23% less likely to experience nonresponse to treatment relative to participants who did not carry any of these marker alleles. CONCLUSIONS The findings demonstrate that genetic variation in a kainic acid-type glutamate receptor is reproducibly associated with response to the antidepressant citalopram. This finding suggests that the glutamate system plays an important role in modulating response to selective serotonin reuptake inhibitors (SSRIs).
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MESH Headings
- Adult
- Black or African American/genetics
- Antidepressive Agents/pharmacology
- Antidepressive Agents/therapeutic use
- Base Sequence
- Chromosomes, Human, Pair 11/genetics
- Chromosomes, Human, Pair 13/genetics
- Citalopram/pharmacology
- Citalopram/therapeutic use
- Cohort Studies
- Depressive Disorder, Major/diagnosis
- Depressive Disorder, Major/drug therapy
- Depressive Disorder, Major/genetics
- Female
- Genetic Markers
- Genotype
- Humans
- Male
- Pharmacogenetics
- Psychiatric Status Rating Scales/statistics & numerical data
- Quantitative Trait Loci/genetics
- ROC Curve
- Receptor, Serotonin, 5-HT2A/drug effects
- Receptors, Kainic Acid/drug effects
- Receptors, Kainic Acid/genetics
- Receptors, N-Methyl-D-Aspartate/genetics
- Selective Serotonin Reuptake Inhibitors/pharmacology
- Selective Serotonin Reuptake Inhibitors/therapeutic use
- Treatment Outcome
- White People/genetics
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Affiliation(s)
- Silvia Paddock
- Genetic Basis of Mood and Anxiety Disorders, Mood and Anxiety Program, NIMH, NIH, Department of Health and Human Services, Bethesda, MD, USA.
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25
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Hu XZ, Rush AJ, Charney D, Wilson AF, Sorant AJM, Papanicolaou GJ, Fava M, Trivedi MH, Wisniewski SR, Laje G, Paddock S, McMahon FJ, Manji H, Lipsky RH. Association between a functional serotonin transporter promoter polymorphism and citalopram treatment in adult outpatients with major depression. ACTA ACUST UNITED AC 2007; 64:783-92. [PMID: 17606812 DOI: 10.1001/archpsyc.64.7.783] [Citation(s) in RCA: 155] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT The HTTLPR, a functional polymorphism of the serotonin transporter gene solute carrier family 6 (neurotransmitter transporter, serotonin), member 4 (SLC6A4), promoter, affects transcription and may be involved in antidepressant drug treatment outcome, although response rates with antidepressants can be lower in patients who experience adverse effects. OBJECTIVE To test the hypothesis that HTTLPR is associated with treatment outcome to citalopram. DESIGN A clinical effectiveness trial, Sequenced Treatment Alternatives to Relieve Depression, collected DNA samples from outpatients with nonpsychotic major depressive disorder who received citalopram in the first treatment step. The triallelic HTTLPR locus was genotyped in 1775 samples to discriminate between long (L) and short (S) alleles, followed by the A > G substitution. The low-expression S and L(G) alleles were grouped together compared with the high-expression L(A) allele. SETTING Eighteen primary care and 23 psychiatric care sites across the United States. PARTICIPANTS Ages 18 to 75 years, meeting criteria for single or recurrent nonpsychotic major depression. MAIN OUTCOME MEASURES Categorical response, remission, tolerance, and adverse effect burden. RESULTS Expression-based grouping produced a significant finding of association between the L(A) allele and adverse effect burden in the entire sample (P = .004 [genotype frequency]; P < .001 [allele frequency]). To control for bias from population stratification, a white American subsample was analyzed. A lesser adverse effect burden was associated with L(A)L(A) genotype frequency (P = .03) or L(A) allele frequency (P = .007). These findings in white patients did not hold when the L allele was undifferentiated. No association was observed between treatment outcome phenotypes and HTTLPR. Development of diarrhea and the presence of the low-expression S or L(G) alleles were the strongest risk factors associated with adverse effect burden. CONCLUSIONS The HTTLPR polymorphism is associated with citalopram adverse effects. Because the L(A) allele confers increased SLC6A4 transcription, increased serotonin transporter levels in brain and other tissues may lead to fewer adverse effects for antidepressant medications that target the transporter.
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Affiliation(s)
- Xian-Zhang Hu
- Section on Molecular Genetics, Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA
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Ozbay F, Johnson DC, Dimoulas E, Morgan CA, Charney D, Southwick S. Social support and resilience to stress: from neurobiology to clinical practice. Psychiatry (Edgmont) 2007; 4:35-40. [PMID: 20806028 PMCID: PMC2921311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Numerous studies indicate social support is essential for maintaining physical and psychological health. The harmful consequences of poor social support and the protective effects of good social support in mental illness have been well documented. Social support may moderate genetic and environmental vulnerabilities and confer resilience to stress, possibly via its effects on the hypothalamic-pituitary-adrenocortical (HPA) system, the noradrenergic system, and central oxytocin pathways. There is a substantial need for additional research and development of specific interventions aiming to increase social support for psychiatrically ill and at-risk populations.
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Rasmusson AM, Pinna G, Paliwal P, Weisman D, Gottschalk C, Charney D, Krystal J, Guidotti A. Decreased cerebrospinal fluid allopregnanolone levels in women with posttraumatic stress disorder. Biol Psychiatry 2006; 60:704-13. [PMID: 16934764 DOI: 10.1016/j.biopsych.2006.03.026] [Citation(s) in RCA: 199] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2005] [Revised: 03/03/2006] [Accepted: 03/07/2006] [Indexed: 11/17/2022]
Abstract
BACKGROUND Alterations in the gamma-amino-butyric acid (GABA) neurotransmitter system have been identified in some populations with posttraumatic stress disorder (PTSD). METHODS To further investigate factors of relevance to GABAergic neurotransmission in PTSD, we measured cerebrospinal fluid (CSF) levels of allopregnanolone and pregnanolone combined (ALLO: congeners that potently and positively modulate effects of GABA at the GABA(A) receptor), 5alpha-dihydroprogesterone (5alpha-DHP: the immediate precursor for allopregnanolone), dehydroepiandrosterone (DHEA: a negative modulator of GABA(A) receptor function), and progesterone with gas chromatography, mass spectrometry in premenopausal women with (n = 9) and without (n = 10) PTSD. Subjects were free of psychotropic medications, alcohol, and illicit drugs; all were in the follicular phase of the menstrual cycle except three healthy and four PTSD subjects receiving oral contraceptives. RESULTS There were no group differences in progesterone, 5alpha-DHP, or DHEA levels. The PTSD group ALLO levels were < 39% of healthy group levels. The ALLO/DHEA ratio correlated negatively with PTSD re-experiencing symptoms (n = -.82, p < 008; trend) and with Profile of Mood State depression/dejection scores (n = -0.70, p < 0008). CONCLUSION Low CSF ALLO levels in premenopausal women with PTSD might contribute to an imbalance in inhibitory versus excitatory neurotransmission, resulting in increased PTSD re-experiencing and depressive symptoms.
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Affiliation(s)
- Ann M Rasmusson
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
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29
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Kaplan JS, Erickson K, Luckenbaugh DA, Weiland-Fiedler P, Geraci M, Sahakian BJ, Charney D, Drevets WC, Neumeister A. Differential performance on tasks of affective processing and decision-making in patients with Panic Disorder and Panic Disorder with comorbid Major Depressive Disorder. J Affect Disord 2006; 95:165-71. [PMID: 16793143 DOI: 10.1016/j.jad.2006.04.016] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2005] [Revised: 04/04/2006] [Accepted: 04/10/2006] [Indexed: 11/16/2022]
Abstract
BACKGROUND Neuropsychological studies have provided evidence for deficits in psychiatric disorders, such as schizophrenia and mood disorders. However, neuropsychological function in Panic Disorder (PD) or PD with a comorbid diagnosis of Major Depressive Disorder (MDD) has not been comprehensively studied. The present study investigated neuropsychological functioning in patients with PD and PD + MDD by focusing on tasks that assess attention, psychomotor speed, executive function, decision-making, and affective processing. METHODS Twenty-two unmedicated patients with PD, eleven of whom had a secondary diagnosis of MDD, were compared to twenty-two healthy controls, matched for gender, age, and intelligence on tasks of attention, memory, psychomotor speed, executive function, decision-making, and affective processing from the Cambridge Neuropsychological Test Automated Battery (CANTAB), Cambridge Gamble Task, and Affective Go/No-go Task. RESULTS Relative to matched healthy controls, patients with PD + MDD displayed an attentional bias toward negatively-valenced verbal stimuli (Affective Go/No-go Task) and longer decision-making latencies (Cambridge Gamble Task). Furthermore, the PD + MDD group committed more errors on a task of memory and visual discrimination compared to their controls. In contrast, no group differences were found for PD patients relative to matched control subjects. LIMITATIONS The sample size was limited, however, all patients were drug-free at the time of testing. CONCLUSIONS The PD + MDD patients demonstrated deficits on a task involving visual discrimination and working memory, and an attentional bias towards negatively-valenced stimuli. In addition, patients with comorbid depression provided qualitatively different responses in the areas of affective and decision-making processes.
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Affiliation(s)
- Johanna S Kaplan
- Mood and Anxiety Disorders Program, National Institute of Mental Health, NIH, DHHS, Bethesda MD, USA
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McMahon FJ, Buervenich S, Charney D, Lipsky R, Rush AJ, Wilson AF, Sorant AJM, Papanicolaou GJ, Laje G, Fava M, Trivedi MH, Wisniewski SR, Manji H. Variation in the gene encoding the serotonin 2A receptor is associated with outcome of antidepressant treatment. Am J Hum Genet 2006; 78:804-814. [PMID: 16642436 PMCID: PMC1474035 DOI: 10.1086/503820] [Citation(s) in RCA: 312] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2005] [Accepted: 03/01/2006] [Indexed: 12/17/2022] Open
Abstract
Depressive disorders account for a large and increasing global burden of disease. Although the condition of many patients improves with medication, only a minority experience full remission, and patients whose condition responds to one medication may not have a response to others. Individual variation in antidepressant treatment outcome is, at present, unpredictable but may have a partial genetic basis. We searched for genetic predictors of treatment outcome in 1,953 patients with major depressive disorder who were treated with the antidepressant citalopram in the Sequenced Treatment Alternatives for Depression (STAR*D) study and were prospectively assessed. In a split-sample design, a selection of 68 candidate genes was genotyped, with 768 single-nucleotide-polymorphism markers chosen to detect common genetic variation. We detected significant and reproducible association between treatment outcome and a marker in HTR2A (P range 1 x 10(-6) to 3.7 x 10(-5) in the total sample). Other markers in HTR2A also showed evidence of association with treatment outcome in the total sample. HTR2A encodes the serotonin 2A receptor, which is downregulated by citalopram. Participants who were homozygous for the A allele had an 18% reduction in absolute risk of having no response to treatment, compared with those homozygous for the other allele. The A allele was over six times more frequent in white than in black participants, and treatment was less effective among black participants. The A allele may contribute to racial differences in outcomes of antidepressant treatment. Taken together with prior neurobiological findings, these new genetic data make a compelling case for a key role of HTR2A in the mechanism of antidepressant action.
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Affiliation(s)
- Francis J McMahon
- Genetic Basis of Mood and Anxiety Disorders, Department of Health and Human Services (DHHS), Bethesda.
| | - Silvia Buervenich
- Genetic Basis of Mood and Anxiety Disorders, Department of Health and Human Services (DHHS), Bethesda
| | - Dennis Charney
- Departments of Psychiatry, Neuroscience, and Pharmacology & Biological Chemistry, Mount Sinai School of Medicine, New York
| | - Robert Lipsky
- Section of Molecular Genetics, Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, NIH, DHHS, Rockville, MD
| | - A John Rush
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas
| | - Alexander F Wilson
- Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, NIH, DHHS, Baltimore
| | - Alexa J M Sorant
- Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, NIH, DHHS, Baltimore
| | - George J Papanicolaou
- Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, NIH, DHHS, Baltimore
| | - Gonzalo Laje
- Genetic Basis of Mood and Anxiety Disorders, Department of Health and Human Services (DHHS), Bethesda
| | | | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas
| | | | - Husseini Manji
- Laboratory of Molecular Pathophysiology, Mood and Anxiety Program, National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda
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Staley JK, Sanacora G, Tamagnan G, Maciejewski PK, Malison RT, Berman RM, Vythilingam M, Kugaya A, Baldwin RM, Seibyl JP, Charney D, Innis RB. Sex differences in diencephalon serotonin transporter availability in major depression. Biol Psychiatry 2006; 59:40-7. [PMID: 16139815 DOI: 10.1016/j.biopsych.2005.06.012] [Citation(s) in RCA: 78] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2005] [Revised: 05/13/2005] [Accepted: 06/08/2005] [Indexed: 11/30/2022]
Abstract
BACKGROUND Major depression is more prevalent in women than men. The present study evaluated if previous findings that demonstrated decreased 5-hydroxytryptamine (5-HT) transporter availability in depressed patients would be confirmed in a larger sample and also evaluated sex differences. METHODS Depressed (n = 32) and healthy subjects (n = 32), including 16 pairs of women and men, participated in an iodine-123-2 beta-carbomethoxy-3beta-(4-iodophenyltropane) ([(123)I]beta-CIT) single photon emission computed tomography (SPECT) and a magnetic resonance imaging (MRI) scan. Participants were administered [(123)I]beta-CIT (225.7 +/- 3.7 MBq) and imaged 23.0 +/- 1.6 hours later. Statistical analyses included analysis of variance and a regression analysis of the main and interactive effects of age, sex, and depression. RESULTS Overall, depressed patients demonstrated 12% lower diencephalon and no change in striatal or brainstem [(123)I]beta-CIT uptake. Significant age by sex, sex by depression, and age by sex by depression interactions were noted due to 22% lower diencephalon [(123)I]beta-CIT uptake in depressed women compared with less than a 1% decrease in depressed men. CONCLUSIONS As observed previously, diencephalon 5-HT transporter availability is decreased in depressed patients. However, the decrease appears to be sex-specific and age-dependent. These findings suggest that serotonergic mechanisms mediating depressed mood differ between men and women in an age-dependent manner and may explain why young women respond better to treatment with selective serotonin reuptake inhibitor (SSRI) antidepressants.
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Affiliation(s)
- Julie K Staley
- Department of Psychiatry, Yale University School of Medicine and West Haven VA Connecticut Health Care System, CT 06516, USA.
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Milham MP, Nugent AC, Drevets WC, Dickstein DP, Leibenluft E, Ernst M, Charney D, Pine DS. Selective reduction in amygdala volume in pediatric anxiety disorders: a voxel-based morphometry investigation. Biol Psychiatry 2005; 57:961-6. [PMID: 15860335 DOI: 10.1016/j.biopsych.2005.01.038] [Citation(s) in RCA: 144] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2004] [Revised: 12/28/2004] [Accepted: 01/21/2005] [Indexed: 12/17/2022]
Abstract
BACKGROUND Significant controversy has emerged concerning pediatric anxiety disorders. Some researchers question the justification for diagnosing and treating pediatric anxiety disorders, owing to concerns about the inappropriate medicalization of social problems. Others note the importance of diagnosis and treatment, given that pediatric anxiety disorders represent a strong risk factor for serious adult mental disorders. We examine the neural correlates of pediatric anxiety disorders, to consider the validity of the categorization scheme used in recent treatment studies. METHODS Using inclusion criteria derived from recent treatment trials, we compared gray matter volume throughout the brain in children with and without anxiety. Morphometric analyses used optimized voxel-based morphometry, an automated method for examining structural changes throughout the brain. RESULTS Reductions in left amygdala gray matter volume were noted for patients with anxiety disorders relative to comparison subjects. CONCLUSIONS We discuss implications of these findings for current controversies.
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Affiliation(s)
- Michael P Milham
- Beckman Institute, University of Illinois, Urbana, Illinois, USA.
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Abstract
Unlike hepatitis B and C, renal involvement has been extremely uncommon in patients with hepatitis Avirus (HAV) infection. Nephrotic syndrome has been documented as a rare complication in association with HAV infection. In this report, we describe a patient with serologically documented HAV infection, who presented with nephrotic syndrome. The renal biopsy showed an immunoglobulin A- (IgA) dominant glomerulonephritis (GN) with subendothelial immune deposits. This is the second biopsy-proven case report of a patient with acute HAV associated with IgA-dominant immune complex glomerulonephritis and nephrotic syndrome. This is perhaps the first case in which a patient experienced both IgA-dominant glomerulonephritis and cutaneous cryoglobulinemic vasculitis.
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Affiliation(s)
- S R Cheema
- Division of Nephrology, St. Luke's-Roosevelt Hospital Center, College of P&S of Columbia University, New York, NY, USA.
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Ernst M, Nelson EE, McClure EB, Monk CS, Munson S, Eshel N, Zarahn E, Leibenluft E, Zametkin A, Towbin K, Blair J, Charney D, Pine DS. Choice selection and reward anticipation: an fMRI study. Neuropsychologia 2004; 42:1585-97. [PMID: 15327927 DOI: 10.1016/j.neuropsychologia.2004.05.011] [Citation(s) in RCA: 243] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2003] [Revised: 04/27/2004] [Accepted: 05/25/2004] [Indexed: 10/26/2022]
Abstract
We examined neural activations during decision-making using fMRI paired with the wheel of fortune task, a newly developed two-choice decision-making task with probabilistic monetary gains. In particular, we assessed the impact of high-reward/risk events relative to low-reward/risk events on neural activations during choice selection and during reward anticipation. Seventeen healthy adults completed the study. We found, in line with predictions, that (i) the selection phase predominantly recruited regions involved in visuo-spatial attention (occipito-parietal pathway), conflict (anterior cingulate), manipulation of quantities (parietal cortex), and preparation for action (premotor area), whereas the anticipation phase prominently recruited regions engaged in reward processes (ventral striatum); and (ii) high-reward/risk conditions relative to low-reward/risk conditions were associated with a greater neural response in ventral striatum during selection, though not during anticipation. Following an a priori ROI analysis focused on orbitofrontal cortex, we observed orbitofrontal cortex activation (BA 11 and 47) during selection (particularly to high-risk/reward options), and to a more limited degree, during anticipation. These findings support the notion that (1) distinct, although overlapping, pathways subserve the processes of selection and anticipation in a two-choice task of probabilistic monetary reward; (2) taking a risk and awaiting the consequence of a risky decision seem to affect neural activity differently in selection and anticipation; and thus (3) common structures, including the ventral striatum, are modulated differently by risk/reward during selection and anticipation.
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Affiliation(s)
- Monique Ernst
- Mood and Anxiety Disorders Program, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, 15K North Drive, Bethesda, MD 20892-2670, USA.
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Kugaya A, Sanacora G, Staley JK, Malison RT, Bozkurt A, Khan S, Anand A, Van Dyck CH, Baldwin RM, Seibyl JP, Charney D, Innis RB. Brain serotonin transporter availability predicts treatment response to selective serotonin reuptake inhibitors. Biol Psychiatry 2004; 56:497-502. [PMID: 15450785 DOI: 10.1016/j.biopsych.2004.07.001] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2003] [Revised: 04/22/2004] [Accepted: 07/01/2004] [Indexed: 11/29/2022]
Abstract
BACKGROUND Few studies have investigated the predictive value of central serotonin transporter (SERT) availability for treatment response to serotonin reuptake inhibitors (SSRIs). This study used brain imaging to examine the relationship between pretreatment brain SERT availability and transporter occupancy by SSRIs with treatment response in two independent depressed populations. METHODS Study 1: Twenty-three patients with major depression underwent a single photon emission computed tomography (SPECT) measurement of brain SERT availability using [123I]beta-CIT ([123I]methyl 3beta-(4-iodophenyl) tropane-2beta-carboxylate. The SERT availability was correlated with treatment response to fluoxetine (20 mg/day) assessed with weekly Hamilton Depression Rating Scale (HDRS) for 6 weeks. Study 2: The second group included 10 depressed patients who received 6 weeks of paroxetine treatment (20 mg/day) and serial SPECT scans (baseline, during, and after the treatment). RESULTS In Study 1, higher pretreatment diencephalic SERT availability significantly predicted better treatment response 4 weeks later. Similar results were found in Study 2 and supported Study 1 findings. The data showed that greater occupancy of diencephalic transporters by paroxetine correlated with better treatment response. CONCLUSIONS Higher pretreatment availability and greater occupancy of SERT in diencephalon may predict better treatment course in response to SSRIs.
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Affiliation(s)
- Akira Kugaya
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA.
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Morgan CA, Southwick S, Hazlett G, Rasmusson A, Hoyt G, Zimolo Z, Charney D. Relationships among plasma dehydroepiandrosterone sulfate and cortisol levels, symptoms of dissociation, and objective performance in humans exposed to acute stress. ACTA ACUST UNITED AC 2004; 61:819-25. [PMID: 15289280 DOI: 10.1001/archpsyc.61.8.819] [Citation(s) in RCA: 192] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT Recently, a growing body of research has provided evidence that dehydroepiandrosterone sulfate (DHEA-S) is involved in an organism's response to stress and that it may provide beneficial behavioral and neurotrophic effects. OBJECTIVE To investigate plasma DHEA-S and cortisol levels, psychological symptoms of dissociation, and military performance. DESIGN Prospective study. SETTING AND PARTICIPANTS Twenty-five healthy subjects enrolled in military survival school. RESULTS The DHEA-S-cortisol ratios during stress were significantly higher in subjects who reported fewer symptoms of dissociation and exhibited superior military performance. CONCLUSIONS These data provide prospective, empirical evidence that the DHEA-S level is increased by acute stress in healthy humans and that the DHEA-S-cortisol ratio may index the degree to which an individual is buffered against the negative effects of stress.
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Affiliation(s)
- Charles A Morgan
- National Center for Post-Traumatic Stress Disorder, Veterans Affairs New England Healthcare System, West Haven, CT 06516, USA.
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Luo X, Kranzler H, Lappalainen J, Rosenheck R, Charney D, Zuo L, Erdos J, van Kammen DP, Gelernter J. CALCYON gene variation, schizophrenia, and cocaine dependence. Am J Med Genet B Neuropsychiatr Genet 2004; 125B:25-30. [PMID: 14755439 DOI: 10.1002/ajmg.b.20092] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Calcyon is a brain-specific D1 dopamine receptor-interacting protein, with a potential role in D1-mediated physiological processes, including motor control, reward mechanisms, and cognitive processes. Our objective was to investigate the relationship between polymorphism of the CALCYON gene and (1) schizophrenia and (2) cocaine dependence in African-American (AA) and European-American (EA) subjects. Two single nucleotide polymorphisms (SNPs) at the CALCYON locus were genotyped in 70 AA and 206 EA individuals with schizophrenia and 90 AA and 118 EA individuals with cocaine dependence. The control group was comprised of 46 AA and 207 EA subjects screened to exclude those with psychiatric or substance use disorders. The specific polymorphisms studied were markers +295214G/A and +297151T/G. Comparisons of allele and haplotype frequencies between cases and controls were performed with the Fisher's Exact Test. Linkage disequilibrium (LD) between these two SNPs was calculated with the 3LOCUS program. No alleles or haplotypes were found to be associated with schizophrenia or cocaine dependence either in AA or EA subjects. The markers +295214G/A and +297151T/G are in the same haplotype block in all subgroups. Allele and haplotype frequencies differed significantly between EA and AA subjects. These results suggest that these two genetic variants in the CALCYON gene do not play a major role in predisposition to either schizophrenia or cocaine dependence in AA or EA subjects. Furthermore, these findings begin to establish a haplotype map for this gene in the AA and EA populations.
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Affiliation(s)
- Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA
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Freimer M, Kranzler H, Satel S, Lacobelle J, Skipsey K, Charney D, Gelernter J. No association between D3 dopamine receptor (DRD3) alleles and cocaine dependence. Addict Biol 2003; 1:281-7. [PMID: 12893467 DOI: 10.1080/1355621961000124896] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Cocaine is thought to act in the brain primarily by blocking dopamine re-uptake. The dopamine D3 receptor (genetic locus DRD3) is localized to brain regions that have been implicated in the reinforcing effects of a number of substances of abuse, including cocaine. The DRD3 coding region contains a polymorphism identifiable as a polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP). This polymorphism leads to an amino acid substitution at position 9 in the extracellular N-terminus of the D3 dopamine receptor. We examined alleles of the DRD3 gene in cocaine dependence using a genetic association strategy in samples of 62 white and 62 black cocaine-dependent individuals. Comparisons were made with local (Connecticut) control subjects for both groups, and with a larger sample of literature controls (for the white subjects) and a contrast group of schizophrenic patients (for the black subjects). No association was found between cocaine dependence and DRD3 alleles in either group (Bonferroni corrected). There was a significant difference in allele frequency between whites and blacks. These results are consistent with no role for genetic variation of the D3 dopamine receptor in susceptibility to cocaine dependence.
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Affiliation(s)
- M Freimer
- Department of Psychiatry, Yale University School of Medicine and West Haven VA Medical Center, West Haven, CT 06516, USA
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Southwick SM, Axelrod SR, Wang S, Yehuda R, Morgan CA, Charney D, Rosenheck R, Mason JW. Twenty-four-hour urine cortisol in combat veterans with PTSD and comorbid borderline personality disorder. J Nerv Ment Dis 2003; 191:261-2. [PMID: 12695738 DOI: 10.1097/01.nmd.0000061140.93952.28] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Steven M Southwick
- Clinical Neurosciences Division, National Center for PTSD (116-A), VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, Connecticut 06516, USA
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Lappalainen J, Kranzler HR, Malison R, Price LH, Van Dyck C, Rosenheck RA, Cramer J, Southwick S, Charney D, Krystal J, Gelernter J. A functional neuropeptide Y Leu7Pro polymorphism associated with alcohol dependence in a large population sample from the United States. Arch Gen Psychiatry 2002; 59:825-31. [PMID: 12215082 DOI: 10.1001/archpsyc.59.9.825] [Citation(s) in RCA: 138] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Quantitative trait locus studies, and observations in animals manipulated for the neuropeptide Y (NPY) gene suggest that variation within this gene may contribute to alcoholism. A recent population study suggested that the Pro7 allele of a functional NPY polymorphism (Leu7Pro) may be associated with increased alcohol consumption. We tested whether the Pro7 allele is associated with alcohol dependence in European Americans (EA). METHODS The design was a population study comparing the Leu7Pro allele frequencies in alcohol-dependent subjects and controls. Population stratification potential and diagnostic specificity was studied by genotyping individuals from additional populations and psychiatric diagnostic classes. We studied 2 independently collected samples of EA alcohol-dependent subjects (sample 1, n = 307; sample 2, n = 160) and a sample of psychiatrically screened EA controls (n = 202); 8 population samples, including African Americans and European Americans (total n = 551); and 4 samples of individuals with Alzheimer disease, schizophrenia, posttraumatic stress disorder, and major depression (total n = 502). The main outcome measure was the difference in Leu7Pro allele frequencies between alcohol-dependent subjects and controls. RESULTS The frequency of the Pro7 allele was higher in the alcohol-dependent subjects (sample 1, 5.5%; sample 2, 5.0%) compared with the screened EA controls (2.0%) (sample 1 vs controls, P=.006; sample 2 vs controls, P=.03). The attributable fraction (excess morbidity) in similarly affected populations, owing to the Pro7 allele, was estimated to be 7.3%. The frequency of the Pro7 allele was equal or lower in the population samples, as compared with the screened EA controls (0%-2.2%), with 1 exception (Bedouins). We found no significant evidence that the association of the Pro7 allele with alcohol dependence was due to an association with a comorbid psychiatric disorder. CONCLUSIONS These results suggest that the NPY Pro7 allele is a risk factor for alcohol dependence. This is only the second specific genetic mechanism ever identified that modulates risk for alcohol dependence.
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Affiliation(s)
- Jaakko Lappalainen
- Yale University School of Medicine, Department of Psychiatry, VA Connecticut Healthcare System, 950 Campbell Ave, Psychiatry 116A2, West Haven, CT 06516, USA
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Mason JW, Wang S, Yehuda R, Lubin H, Johnson D, Bremner JD, Charney D, Southwick S. Marked lability in urinary cortisol levels in subgroups of combat veterans with posttraumatic stress disorder during an intensive exposure treatment program. Psychosom Med 2002; 64:238-46. [PMID: 11914439 DOI: 10.1097/00006842-200203000-00006] [Citation(s) in RCA: 58] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE The objective of this study was to obtain longitudinal data on lability of cortisol levels in posttraumatic stress disorder (PTSD) because previous studies have largely been based on sampling at a single time point and have yielded varying results. METHODS This study measured urinary cortisol levels at admission, midcourse, and discharge during a 90-day hospitalization period in male Vietnam combat veterans with PTSD (N = 51). RESULTS Although there were no significant differences in the mean +/- SEM urinary cortisol levels between the admission (59.4 +/- 3.0 microg/d), midcourse (55.6 +/- 3.9 microg/d), and discharge (53.4 +/- 3.4 microg/d) values, marked lability of cortisol levels in individual patients was observed over time, with changes ranging from +93 to -58 microg/d from admission to midcourse. In addition, this hormonal lability defined discrete subgroups of patients on the basis of the longitudinal pattern of cortisol change during exposure treatment, and there were significant psychometric differences in the level of social functioning between these subgroups. CONCLUSIONS The findings do not support the concept of either a static "hypocortisolism" or "hypercortisolism" in PTSD, but rather suggest a psychogenic basis for cortisol alterations in PTSD in relation to psychosocial stress and indicate a central regulatory dysfunction of the hypothalamic-pituitary-adrenal axis characterized by a dynamic tendency to overreact in both upward and downward directions. The longitudinal findings fit with recent observations that cortisol elevations occur when acutely superimposed stressful conditions emotionally engage patients and overwhelm the usually dominating disengaging coping mechanisms associated with suppression of cortisol levels in PTSD. The findings emphasize the importance of longitudinal data in studies of the hypothalamic-pituitary-adrenal axis in PTSD.
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Affiliation(s)
- John W Mason
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
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Kaufman J, Charney D. Effects of early stress on brain structure and function: implications for understanding the relationship between child maltreatment and depression. Dev Psychopathol 2002; 13:451-71. [PMID: 11523843 DOI: 10.1017/s0954579401003030] [Citation(s) in RCA: 166] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Child abuse is associated with markedly elevated rates of major depression (MDD) in child, adolescentt, and adult cohorts. This article reviews preclinical (e.g., animal) studies of the effects of early stress and studies of the neurobiological correlates of MDD in adults and children, and it highlights differences in the neurobiological correlates of MDD and stress at various developmental stages. The preclinical studies demonstrate that stress early in life can alter the development multiple neurotransmitter systems and promote structural and functional alterations in brain regions similar to those seen in adults with depression. Preclinical and clinical studies suggest, however, that long-term neurobiological changes associated with early stress can be modified by familial/genetic factors, the quality of the subsequent caregiving environment, and pharmacological interventions. Little is known about how developmental factors interact with experiences of early stress and these other modifying factors. Moreover, in cases of child maltreatment, the effects of early abuse are often exacerbated by failures in the child protection system and repeat out-of-home placements. Given the number of factors that impact on the long-term outcome of maltreated children, multidisciplinary research efforts are recommended to address this problem-with foci that span from neurobiology to social policy.
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Affiliation(s)
- J Kaufman
- Department of Psychiatry, Yale University, New Haven, CT 06511, USA.
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Abstract
Instrument-based scores are often used as outcome measures. However, little is known about what changes in scores mean in terms of a clinical assessment of improvement or deterioration. The purpose of this report was to determine how much change in standard instrument scores represents a clinically detectable improvement or deterioration. The Veterans Affairs (VA) Cooperative Study of Clozapine in Refractory Schizophrenia evaluated 423 patients on clozapine or haloperidol. Symptoms and quality of life scales were completed at baseline; 6 weeks; and 3, 6, and 12 months. Among patients judged as "improved" by clinicians, the average percentage changes were a 21 percent decrease in Positive and Negative Syndrome Scale (PANSS) scores and a 26 percent increase in Quality of Life Scale (QLS) scores across all followup periods. The change in mean seven-point item scores were -0.46 (PANSS) and 0.23 (QLS). A major gain in clinically assessed improvement to "much better" was associated with a 45 percent decline in PANSS scores and 50 percent increase in QLS scores (change in mean seven-point item scores -0.88 and 0.92, respectively). Thus, modest changes in psychometric scales assessing symptoms and quality of life reflect clinically detectable improvement.
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Affiliation(s)
- J Cramer
- NorthEast Program Evaluation Center, VA Connecticut Healthcare System, West Haven 06516-2770, USA.
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Ree HJ, Yang WI, Kim CW, Huh J, Lee SS, Cho EY, Ko YH, Charney D. Coexpression of Bcl-6 and CD10 in diffuse large B-cell lymphomas: significance of Bcl-6 expression patterns in identifying germinal center B-cell lymphoma. Hum Pathol 2001; 32:954-62. [PMID: 11567225 DOI: 10.1053/hupa.2001.27118] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Most follicular lymphomas (FLs) transform to diffuse lymphoma eventually, comprising a significant proportion of diffuse large B-cell lymphoma (DLBCL). Judging by bcl-2 rearrangement (bcl-2R), one third of DLBCLs are believed to be of FL derivation in the Western population. However, bcl-2R is not specific and is not detectable in every case of FL. In East Asia, FL is uncommon but DLBCL is not. The proportion of tumors of FL origin in DLBCL is not known in this region. The coexpression of Bcl-6 and CD10 proteins, a reliable marker to identify germinal center (GC) B-cell lymphoma including FL, was analyzed in primary nodal DLBCLs (n = 104) diagnosed at major hospitals in Seoul during a recent 2-year period, along with well-defined cases (n = 17) of nodal FL as controls. Bcl-2 protein expression (n = 77) was also studied along with bcl-2R (n = 64), by polymerase chain reaction. Formalin-fixed archival specimens were used in all these assays. The Bcl-6/CD10 coexpression was observed in 35 DLBCLs (34%) and 14 FLs (82%), and most of them showed a pattern of Bcl-6 expression similar to that of the GC. Bcl-2 expression or bcl-2R did not correlate with Bcl-6/CD10 coexpression. Histologically, compartmentalizing sclerosis was associated with a high rate of the coexpression (8 of 10). In conclusion, to detect GC B-cell lymphoma in routine biopsy specimens, a pattern of Bcl-6 staining similar to the GC must be identified. Bcl-6+/CD10+ GC B-cell lymphomas thus defined comprised one third of primary nodal DLBCLs in Korea. The incidence rate is similar to that in the West. The reasons for the discrepancy between the incidence of GC B-cell lymphoma and the paucity of the follicular pattern in East Asian subjects warrant further studies.
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MESH Headings
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Child
- DNA, Neoplasm/analysis
- DNA-Binding Proteins/biosynthesis
- DNA-Binding Proteins/genetics
- Female
- Fluorescent Antibody Technique, Indirect
- Gene Rearrangement
- Germinal Center/metabolism
- Germinal Center/pathology
- Hospitals, Teaching
- Humans
- Korea/epidemiology
- Lymphoma, B-Cell/epidemiology
- Lymphoma, B-Cell/metabolism
- Lymphoma, B-Cell/pathology
- Lymphoma, Follicular/epidemiology
- Lymphoma, Follicular/genetics
- Lymphoma, Follicular/metabolism
- Lymphoma, Follicular/pathology
- Lymphoma, Large B-Cell, Diffuse/epidemiology
- Lymphoma, Large B-Cell, Diffuse/metabolism
- Lymphoma, Large B-Cell, Diffuse/pathology
- Male
- Middle Aged
- Neprilysin/biosynthesis
- Polymerase Chain Reaction
- Proto-Oncogene Proteins/biosynthesis
- Proto-Oncogene Proteins/genetics
- Proto-Oncogene Proteins c-bcl-6
- Transcription Factors/biosynthesis
- Transcription Factors/genetics
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Affiliation(s)
- H J Ree
- Samsung Medical Center, Yonsei University Hospital, Seoul, Korea
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Messias NC, Eustace JA, Zachary AA, Tucker PC, Charney D, Racusen LC. Cohort study of the prognostic significance of acute transplant glomerulitis in acutely rejecting renal allografts. Transplantation 2001; 72:655-60. [PMID: 11544426 DOI: 10.1097/00007890-200108270-00016] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Acute transplant glomerulitis is a unique lesion in renal allografts, the prognostic significance of which is controversial. We conducted this retrospective cohort study to examine the independent prognostic significance of moderate-to-severe transplant glomerulitis in acute rejection. METHODS Renal allograft survival for patients with acute rejection were studied, comparing one group with significant glomerulitis (G, n=28) with those with no glomerulitis (NG, n=35). Clinical, biopsy, and demographic data and renal graft survival were compared, and the association of G with graft failure was examined. RESULTS In the G versus NG group, a greater percentage of patients were highly sensitized (peak panel reactive antibody value >80%; P=0.009), had had a previous renal transplant (40% vs. 11%; P=0.02), or had suffered from delayed graft function (P=0.03). The G group had a trend toward earlier rejection episodes (P=0.07), a significantly higher serum creatinine at the time of index biopsy (P=0.01), a higher prevalence of vascular rejection (P=0.02), and less improvement in mean reciprocal serum creatinine at 1-2 weeks after biopsy (P=0.02). Although there was a trend toward shorter allograft survival in the G group (P=0.09), the level of significance of which increased with adjustment for transplantation time period and the duration of the transplant-biopsy interval (P=0.06), the relative risk for graft loss was no longer significant when additionally adjusted for index biopsy Banff score (relative risk, 0.97; P=0.97). CONCLUSION In this study, G was significantly more common in highly sensitized patients and was strongly associated with vascular rejection biopsies but was not an independent predictor of graft survival.
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Affiliation(s)
- N C Messias
- Department of Pathology, The Johns Hopkins Hospital, Baltimore, MD 21287, USA
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Abstract
This article reviews data on the prevalence of panic, social phobia, generalized anxiety, and posttraumatic stress disorder, and research documenting the comorbidity of these disorders with major depression (MDD). These anxiety disorders are frequently comorbid with MDD, and 50-60% of individuals with MDD report a lifetime history of one or more of these anxiety disorders. The anxiety disorders are also highly correlated with one another, and approximately one-quarter to one-half of individuals with each of the anxiety disorders report a lifetime history of an alcohol or substance use disorder. Anxiety disorders rarely exist in isolation, with several studies reporting that over 90% of individuals with anxiety disorders have a lifetime history of other psychiatric problems. Implications for research are discussed, including the potential benefit of using combined categorical and dimensional rating scale approaches in future genetic, biochemical, neuroimaging, and treatment studies. The clinical implications of the findings are also discussed, and the results of recent clinical trials summarized. Available data suggests selective serotonin reuptake inhibitors are the first-line pharmacological treatment for these disorders, and that newer serotonin and norepinephrine reuptake inhibitors show significant promise, especially for comorbid cases. Comorbidity among depression and anxiety disorders is associated with greater symptom severity, and a considerably higher incidence of suicidality. Increased public awareness about these disorders and the availability of effective treatments is sorely needed.
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Affiliation(s)
- J Kaufman
- Yale University, Department of Psychiatry, New Haven, CT 06511, USA.
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Leffell MS, Kraus E, Racusen LC, Ratner LE, Charney D, Zachary AA. Effect of Bw4 and Bw6 epitope mismatches on antibody production, acute and chronic rejection, and graft survival in renal allografts. Transplantation 2001; 72:433-7. [PMID: 11502972 DOI: 10.1097/00007890-200108150-00013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Highly sensitized patients often have antibodies directed against the HLA Bw4 and Bw6 epitopes. Because of the high frequency of these epitopes, when present, these antibodies result in a high incidence of positive cross-matches. We sought to determine whether antibodies specific for Bw4 or Bw6 affected renal allograft outcome. METHODS The effect of mismatches for the HLA class I public epitopes, Bw4 and Bw6, was examined in 72 recipients of one haplotype matched recipients of living, related donor renal allografts selected to control for degree of HLA mismatch. Analysis of the production of HLA-specific antibody was performed for 180 recipients of failed cadaveric allografts by complement-dependent cytotoxicity tests and by an enzyme-linked immunoadsorbent assay (ELISA). RESULTS No significant difference was observed in the incidence of acute rejection, number of rejection episodes or 1-year allograft survival among Bw4/6 matched versus mismatched recipients of one haplotype matched allografts. Additionally, no significant difference in the development of chronic allograft nephropathy was noted among 56 recipients followed long-term (> or =3 years). In the recipients of failed cadaveric transplants, Bw4/6 mismatching was associated with the frequency and magnitude of production of HLA-specific antibody. However, the panel reactive antibodies correlated with the number of HLA-A and -B mismatches, and there was no additional impact of Bw4/6 mismatching. IgG, HLA-specific antibodies were found to be significantly increased among patients homozygous for Bw4 or Bw6, whether or not there was a Bw4/6 mismatch. CONCLUSIONS Mismatching for Bw4 or Bw6 does not confer any independent, increased risk for humoral sensitization or renal allograft failure.
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Affiliation(s)
- M S Leffell
- Depaertment of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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Goddard AW, Brouette T, Almai A, Jetty P, Woods SW, Charney D. Early coadministration of clonazepam with sertraline for panic disorder. Arch Gen Psychiatry 2001; 58:681-6. [PMID: 11448376 DOI: 10.1001/archpsyc.58.7.681] [Citation(s) in RCA: 101] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND There is debate about combining benzodiazepines with selective serotonin reuptake inhibitors in the acute treatment of panic disorder. Although this medication combination is widely used in clinical practice, there is no well-tested, optimal method of coadministering these medications for the treatment of panic disorder. The purpose of this study was to test the efficacy of early coadministration of clonazepam with sertraline in the treatment of panic disorder. METHODS Fifty patients with panic disorder were randomized into a double-blind clinical trial. Patients received open-label sertraline for 12 weeks (target dose, 100 mg/d), and in addition were randomized to groups receiving either 0.5 mg of active clonazepam 3 times daily or placebo clonazepam for the first 4 weeks of the trial. The clonazepam dose was then tapered during 3 weeks and discontinued. RESULTS Thirty-four (68%) of 50 patients completed the trial. Drop-out rates were similar in the sertraline/placebo vs the sertraline/clonazepam group (38% vs 25%) (P =.5). An intent-to-treat analysis (on last observation carried forward data) revealed a much greater proportion of responders in the sertraline/clonazepam compared with the sertraline/placebo group at the end of week 1 of the trial (41% vs 4%) (P =.003). There was also a significant between-group difference at the end of week 3 with 14 (63%) of 22 of the sertraline/clonazepam group responding to treatment vs 8 (32%) of 25 of the sertraline/placebo group (P =.05). This difference was not observed at other times during the trial. CONCLUSION These data indicate that rapid stabilization of panic symptoms can be safely achieved with a sertraline/clonazepam combination, supporting the clinical utility of this type of regimen for facilitating early improvement of panic symptoms relative to sertraline alone.
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Affiliation(s)
- A W Goddard
- Department of Psychiatry, Yale University School of Medicine, and Yale Anxiety Clinic, 100 York St #2J, New Haven, CT 06511, USA.
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