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Yang Y, Yuan M, Zeng Y, Xie Y, Xu Y, Liao D, Chen Y, Chen M, Qu Y, Hu Y, Zhang W, Song H. Cohort Profile: The China Severe Trauma Cohort (CSTC). J Epidemiol 2024; 34:41-50. [PMID: 36567130 PMCID: PMC10701251 DOI: 10.2188/jea.je20220290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND We sought to establish a prospective hospital-based cohort, featuring detailed multidimensional data of trauma patients with active follow-ups, which can be a reliable data source for all studies focusing on the effects or underlying mechanistic pathways of environmental and biological factors on multiple interested trauma-related outcomes, particularly the incidence and trajectory of trauma-related psychopathology, in a Chinese population. METHODS The China Severe Trauma Cohort (CSTC) enrolled all traumatized individuals aged 12 to 80 years admitted to the Trauma Center of West China Hospital between March 1st, 2020 and July 8th, 2022. The bio-sample and detailed questionnaire data were collected at recruitment, and phone/internet follow-ups were scheduled at 1, 3, 6, and 12 months after the baseline. Long-term health outcomes are planned to be obtained from administrative databases through data linkage. RESULTS A total of 2,500 trauma patients were enrolled (response rate = 87.1%) with an average age of 46.01 years, and most of the participants were males (62.6%). The proportions of participants with blood and fecal sample collected at baseline were 93.8% and 66.3%, respectively. As of August 31st, 2022, the follow-up rate was 90.0%, 77.0%, 76.5%, and 89.0% for 1-, 3-, 6-, and 12-month follow-ups, respectively. Fall/wrench (47.6%) and traffic accident (26.2%) were the top causes of current trauma. The most common psychopathology at recruitment was sleep disturbance (39.4%), followed by depression (22.6%), anxiety (18.2%), and acute stress reaction (7.8%), all of which showed recovering trajectories during the follow-up period, particularly the first 3 months after baseline. CONCLUSION CSTC provides a platform with multidimensional data to study both short-term and long-term trauma-related health consequences, prompting early identification and intervention for individuals with high risk of health decline after trauma exposures.
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Affiliation(s)
- Yao Yang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Minlan Yuan
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yu Zeng
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuanjing Xie
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Shaanxi University of Chinese Medicine, Xian, China
| | - Yueyao Xu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Dengbin Liao
- Department of Orthopaedics and Trauma Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yongmei Chen
- Department of Orthopaedics and Trauma Center, West China Hospital, Sichuan University, Chengdu, China
| | - Meiru Chen
- Department of Orthopaedics and Trauma Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yuanyuan Qu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yao Hu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Wei Zhang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Huan Song
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
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Oakes EG, Ellrodt J, Yee J, Guan H, Kubzansky LD, Koenen KC, Costenbader KH. Posttraumatic stress disorder symptoms in systemic autoimmune rheumatic disease patients during the early COVID-19 pandemic. Int J Rheum Dis 2024; 27:e14974. [PMID: 37984371 DOI: 10.1111/1756-185x.14974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/24/2023] [Accepted: 10/31/2023] [Indexed: 11/22/2023]
Abstract
AIM Given reports of increased prevalence of PTSD symptoms at COVID-19 pandemic onset, we aimed to assess the prevalence of posttraumatic stress disorder (PTSD) symptoms at pandemic onset in individuals with and without systemic autoimmune rheumatic disease (SARD). METHODS In May 2020, we invited 6678 patients to complete the Brief Trauma Questionnaire and the Posttraumatic Stress Disorder Checklist (PCL-5), validated PTSD symptom screenings. We compared responses from patients with and without SARD using multivariable logistic regression. RESULTS We received 1473 responses (22% response rate) from 5/2020 to 9/2021 (63 with prior PTSD diagnoses, 138 with SARD history). The SARD population was more female (p .0001) and had a higher baseline prevalence of stress disorders (56% vs. 43%, p .004). SARD subjects reported more experiences with life-threatening illness, 60%, versus 53% among those without SARD (p .13), and more antidepressant or anxiolytic medication use pre-pandemic (78% vs. 59%, p .0001). Adjusting for pre-pandemic PTSD diagnosis, younger age and history of stress disorder were the most significant predictors of PCL-5 positivity. There were no significant differences in PCL-5 score or positivity among those with or without SARD. CONCLUSION In this population, patients with SARD had a higher pre-COVID-19 prevalence of stress-related conditions, but it was not the case that they had an increased risk of PTSD symptoms in the early pandemic. Younger individuals, those with baseline depression, anxiety, or adjustment disorders, and those taking antidepressant or anxiolytic medications were more likely to have PTSD symptoms in the first waves of the COVID-19 pandemic.
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Affiliation(s)
- Emily G Oakes
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Jack Ellrodt
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Jeong Yee
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Hongshu Guan
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Laura D Kubzansky
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Karestan C Koenen
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Karen H Costenbader
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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Bae S, Cho OH. Prevalence and Risk Factors of Depression in Patients with Rheumatic Disease in South Korea during the COVID-19 Pandemic. Healthcare (Basel) 2022; 10:healthcare10091758. [PMID: 36141368 PMCID: PMC9498375 DOI: 10.3390/healthcare10091758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 09/09/2022] [Indexed: 11/20/2022] Open
Abstract
This study aimed to examine the prevalence and risk factors of depression among patients with rheumatic diseases (RDs) during the coronavirus disease 2019 (COVID-19) pandemic. This study adopted a cross-sectional design, and 160 outpatients with RDs in one university hospital in South Korea were sampled using the convenience sampling method. Data were collected from May to July 2021 using a structured questionnaire. The risk factors of depression were analyzed using descriptive statistics and multiple logistic regression analyses. The prevalence rates of post-traumatic stress disorder (PTSD), insomnia, and depression were 37.5%, 20.0%, and 24.4%, respectively. Multiple logistic regression analyses confirmed that employment status, monthly income, perceived health, PTSD, and insomnia were significant risk factors of depression. The findings highlight the urgent need to assist patients with RDs who are at risk of depression during the COVID-19 pandemic, especially individuals who are unemployed or have low incomes and poor perceived health, individuals with high PTSD, and individuals with severe insomnia. There is a need to provide disease-specific interventions to effectively alleviate depression among these individuals during the COVID-19 pandemic.
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Affiliation(s)
- Sanghyun Bae
- Department of Nursing, Shinsung University, Dangjin-si 31801, Korea
| | - Ok-Hee Cho
- Department of Nursing, College of Nursing and Health, Kongju National University, Gongju-si 32588, Korea
- Correspondence: ; Tel.: +82-41-850-0306; Fax: +82-41-850-0315
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