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28. Serum cortisol and neuroticism for post‐traumatic stress disorder over 2 years in patients with physical injuries.

Author

Kim, Jae‐Min, Kang, Hee‐Ju, Kim, Ju‐Wan, Jang, Hyunseok, Kim, Jung‐Chul, Chun, Byung Jo, Lee, Ju‐Yeon, Kim, Sung‐Wan, and Shin, Il‐Seon

Subjects
*LOGISTIC regression analysis, *PERSONALITY, *PERSONALITY studies, *PSYCHOSOCIAL factors, *TRAUMA centers, *POST-traumatic stress disorder, *EXTRAVERSION
Abstract

Aim Methods Results Conclusion This study aimed to explore the relationships between serum cortisol levels, personality traits, and the development of Post‐Traumatic Stress Disorder (PTSD) over 2 years among individuals with physical injuries.Participants were consecutively recruited from a trauma center and followed prospectively for 2 years. At baseline, serum cortisol levels were measured, and personality traits were categorized into five dimensions (Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness), using the Big Five Inventory‐10. The diagnosis of PTSD during follow‐up (at 3, 6, 12, and 24 months post‐injury) was determined using the Clinician‐Administered PTSD Scale for DSM‐5. Binary and multinomial logistic regression analyses were conducted to examine the interactions between cortisol levels, personality traits, and PTSD development.Among 923 patients analyzed, 112 (12.1%) were diagnosed with PTSD at some point during the study period, with prevalence rates decreasing from 8.8% at 3 months to 3.7% at 24 months post‐injury. Direct associations between cortisol levels or personality traits and PTSD were not observed. However, a significant interaction between lower cortisol levels and higher Neuroticism in relation to PTSD risk was identified, especially during the early follow‐up periods (3 to 6 months), but this association waned from the 12‐month follow‐up onward.Our findings reveal Neuroticism‐dependent associations between serum cortisol levels and PTSD development, exhibiting temporal variations. These results suggest that PTSD development may be influenced by a complex, time‐sensitive interplay of biological and psychosocial factors, underscoring the importance of considering individual differences in stress reactivity and personality in PTSD research and treatment. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Impact of suicidality on delayed-onset post-traumatic stress disorder is modified by age: A two-year longitudinal study.

Author

Kim, Jae-Min, Kim, Ju-Wan, Kang, Hee-Ju, Jang, Hyunseok, Kim, Jung-Chul, Chun, Byung Jo, Lee, Ju-Yeon, Kim, Sung-Wan, and Shin, Il-Seon

Subjects
*POST-traumatic stress disorder, *SUICIDAL ideation, *LONGITUDINAL method, *OLDER patients, *AGE groups
Abstract

This study aimed to investigate the relationship between early suicidality and post-traumatic stress disorder (PTSD) onset in patients with physical injuries, focusing on age as a modifying factor. At baseline, 1014 patients were evaluated for suicidality, age divided into younger (<60 years) vs. older (≥60 years) groups, and potential covariates. PTSD was diagnosed at follow-up at 3, 6, 12, and 24 months, and then were categorized into early-onset (within the first six months after trauma) and delayed-onset (more than six months after trauma). Logistic regression models were used after adjusting for covariates. Presence of suicidality at baseline was significantly associated with delayed-onset PTSD in older but not younger patients with significant interaction terms, whereas it was significantly associated with early-onset PTSD across all age groups. Age-specific associations were found between suicidality and PTSD onset. The findings highlight the importance of early suicidality assessment, especially in older patients for ongoing monitoring and support, and underscore the critical need for early PTSD identification and intervention for all ages. • Prospective associations of suicidality with both early- and delayed onset PTSD after; physical injuries were evaluated. • Potential modifying effect of age on the associations was investigated. • Suicidality was linked to early-onset PTSD in patients across all age groups. • Suicidality was significantly associated with delayed-onset PTSD in older but not in younger group. • Patients' age and suicidality should be considered for predicting delayed-onset PTSD. [ABSTRACT FROM AUTHOR]

Published
2024
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45. 85‐2: Prediction of Triplet Harvesting Ability in Blue Fluorescent Organic Light‐Emitting Diodes Using Deep Learning.

Author

Lim, Junseop, Kim, Jae-Min, and Lee, Jun Yeob

Subjects
DEEP learning, LIGHT emitting diodes, TRANSIENTS (Dynamics), PREDICTION models, ORGANIC light emitting diodes, DELAYED fluorescence
Abstract

In this paper, we implemented new time dependent exciton decay model based on exciton dynamics using transient electroluminescence profile of fluorescent triplet‐triplet annihilation (TTA) orgarnic light‐emitting diodes (OLEDs). The prompt and delayed components of fluorescent TTA OLED could be distinguished quantitatively and accurate TTA ratio analysis was achieved using the new TTA model. In addition, predictive model of kinetic coefficients and TTA ratio was established using neural network of multilayer perception, and it demonstrated nearly perfect prediction ability of TTA ratio (determination coefficient, R2 = 0.999). The results of this study would contribute to understand TTA mechanisms deeply with exact estimation of major parameters of TTA OLEDs and help future OLED research using deep learning predictive model. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Predicting suicidal ideation using multiple serum biomarkers in patients with acute coronary syndrome.

Author

Kim, Jae-Min, Kim, Ju-Wan, Kang, Hee-Ju, Choi, Wonsuk, Lee, Ju-Yeon, Kim, Sung-Wan, Shin, Il-Seon, Ahn, Youngkeun, and Jeong, Myung Ho

Subjects
*ACUTE coronary syndrome, *SUICIDAL ideation, *TROPONIN I, *BIOMARKERS, *SUICIDAL behavior
Abstract

Biomarkers for suicidal behavior in patients with acute coronary syndrome (ACS) have yet to be elucidated. This study aimed to identify a panel of serum biomarkers associated with suicidal ideation (SI) in patients with ACS. The study evaluated 969 patients within 2 weeks of ACS (acute phase) and 711 patients 12 months later (chronic phase). The evaluation included 14 serum biomarkers covering 7 functional systems, socio-demographic/clinical characteristics, and SI assessed by the "suicidal thoughts" item of the Montgomery–Åsberg Depression Rating Scale. Logistic regression models were used to analyze the data. The results showed that 195 patients (20.1 %) had SI in the acute phase, and 87 patients (12.2 %) had SI in the chronic phase. A combination of five serum biomarkers (tumor necrosis factor-α, interleukin-1β, folate, troponin I, and creatine kinase-MB) was significantly associated with SI in the acute phase, and a combination of three serum biomarkers (tumor necrosis factor-α, interleukin-1β, and folate) was significantly associated with SI in the chronic phase in a clear dose-dependent manner (all P-values < 0.001) after adjustment for relevant covariates. These findings suggest that the application of a combination of multiple serum biomarkers could improve the predictability of SI in patients with ACS at both acute and chronic phases. • Combinations of serum biomarkers significantly improved the predictability of suicidality after ACS. • In particular, inflammatory markers and folate played a crucial role in this regard. • The strengths of the associations showed a clear dose-dependent pattern. • These associations were observed both in acute and chronic phases of ACS. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Author

Wu, Yin, Levis, Brooke, Sun, Ying, Krishnan, Ankur, He, Chen, Riehm, Kira E., Rice, Danielle B., Azar, Marleine, Yan, Xin Wei, Neupane, Dipika, Bhandari, Parash Mani, Imran, Mahrukh, Chiovitti, Matthew J., Saadat, Nazanin, Boruff, Jill T., Cuijpers, Pim, Gilbody, Simon, McMillan, Dean, Ioannidis, John P.A., Kloda, Lorie A., Patten, Scott B., Shrier, Ian, Ziegelstein, Roy C., Henry, Melissa, Ismail, Zahinoor, Loiselle, Carmen G., Mitchell, Nicholas D., Tonelli, Marcello, Al-Adawi, Samir, Beraldi, Anna, Braeken, Anna P.B.M., Büel-Drabe, Natalie, Bunevicius, Adomas, Carter, Gregory, Chen, Chih-Ken, Cheung, Gary, Clover, Kerrie, Conroy, Ronán M., Cukor, Daniel, da Rocha e Silva, Carlos E., Dabscheck, Eli, Daray, Federico M., Douven, Elles, Downing, Marina G., Feinstein, Anthony, Ferentinos, Panagiotis P., Fischer, Felix H., Flint, Alastair J., Fujimori, Maiko, Gallagher, Pamela, Gandy, Milena, Goebel, Simone, Grassi, Luigi, Härter, Martin, Jenewein, Josef, Jetté, Nathalie, Julião, Miguel, Kim, Jae-Min, Kim, Sung-Wan, Kjærgaard, Marie, Köhler, Sebastian, Loosman, Wim L., Löwe, Bernd, Martin-Santos, Rocio, Massardo, Loreto, Matsuoka, Yutaka, Mehnert, Anja, Michopoulos, Ioannis, Misery, Laurent, Navines, Ricard, O'Donnell, Meaghan L., Öztürk, Ahmet, Peceliuniene, Jurate, Pintor, Luis, Ponsford, Jennie L., Quinn, Terence J., Reme, Silje E., Reuter, Katrin, Rooney, Alasdair G., Sánchez-González, Roberto, Schwarzbold, Marcelo L., Senturk Cankorur, Vesile, Shaaban, Juwita, Sharpe, Louise, Sharpe, Michael, Simard, Sébastien, Singer, Susanne, Stafford, Lesley, Stone, Jon, Sultan, Serge, Teixeira, Antonio L., Tiringer, Istvan, Turner, Alyna, Walker, Jane, Walterfang, Mark, Wang, Liang-Jen, White, Jennifer, Wong, Dana K., Benedetti, Andrea, and Thombs, Brett D.

Published
2020
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