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Asl-English Interpreters And Anxiety, Stephen B. Fitzmaurice, Meri Faulkner 2024 Clemson University

Asl-English Interpreters And Anxiety, Stephen B. Fitzmaurice, Meri Faulkner

Journal of Interpretation

Reflective of the American population, there are a number of interpreters who have Generalized Anxiety Disorder. Using a mixed methods approach, credentialed interpreters share their experience with anxiety as a professional interpreter. Participants relate both the positive and negative effects of anxiety on their interpreting work. Several anxiety coping strategies are explored, as well as, detailing the importance of finding a confidant. Issues such as potential professional stigma and the consequences of declining assignments for anxiety reasons are discussed.


Attitudes And Barriers To Breastfeeding Among Women At High-Risk For Not Breastfeeding: A Prospective Observational Study, Jessica Cole, Ateshi Bhatt, Andrew G. Chapple, Sarah Buzhardt, Elizabeth F. Sutton 2024 Louisiana State University Health and Sciences Center, Baton Rouge, LA

Attitudes And Barriers To Breastfeeding Among Women At High-Risk For Not Breastfeeding: A Prospective Observational Study, Jessica Cole, Ateshi Bhatt, Andrew G. Chapple, Sarah Buzhardt, Elizabeth F. Sutton

School of Medicine Faculty Publications

Background Rates of breastfeeding are lower among minority and underserved populations in the United States. Our study objective was to assess pregnant persons attitudes and barriers to breastfeeding among a cohort at high risk for not breastfeeding. Methods We disseminated the Iowa Infant Feeding Attitude Scale (IIFAS) to 100 pregnant persons at least 18 years of age attending a prenatal visit in a low-resource, academic practice in south-central Louisiana (Woman’s Hospital). The IIFAS, as well as questions collecting information on breastfeeding experience and sociodemographic characteristics, were administered via interview. Medical records were reviewed to investigate associations between attitudes about breastfeeding …


Neural Correlates Of Automatic Emotion Regulation And Their Association With Suicidal Ideation In Adolescents During The First 90-Days Of Residential Care, Matthew Dobbertin, Karina S Blair, Joseph Aloi, Sahil Bajaj, Johannah Bashford-Largo, Avantika Mathur, Ru Zhang, Erin Carollo, Amanda Schwartz, Jaimie Elowsky, J L Ringle, Patrick Tyler, R James Blair 2024 The Texas Medical Center Library

Neural Correlates Of Automatic Emotion Regulation And Their Association With Suicidal Ideation In Adolescents During The First 90-Days Of Residential Care, Matthew Dobbertin, Karina S Blair, Joseph Aloi, Sahil Bajaj, Johannah Bashford-Largo, Avantika Mathur, Ru Zhang, Erin Carollo, Amanda Schwartz, Jaimie Elowsky, J L Ringle, Patrick Tyler, R James Blair

Faculty, Staff and Student Publications

Background: Suicide is the second leading cause of death for adolescents in the United States. However, relatively little is known about the forms of atypical neuro-cognitive function that are correlates of suicidal ideation (SI). One form of cognitive/affective function that, when dysfunctional, is associated with SI is emotion regulation. However, very little work has investigated the neural correlates of emotion dysregulation in adolescents with SI.

Methods: Participants (N = 111 aged 12-18, 32 females, 31 [27.9%] reporting SI) were recruited shortly after their arrival at a residential care facility where they had been referred for behavioral and mental health problems. …


Ghostlight, Christopher R. Deacy 2024 University of Kent at Canterbury - U.K.

Ghostlight, Christopher R. Deacy

Journal of Religion & Film

This is a film review of Ghostlight (2024), directed by Kelly O'Sullivan.


Sleep Attitudes As An Indirect Predictor Of Risk For Metabolic Syndrome In First Year College Students, Sophie Hirsch, Hannah Peach, Trudy L. Moore-Harrison, Philip Zendels, Aria Ruggiero, Jane F. Gaultney 2024 University of North Carolina at Charlotte

Sleep Attitudes As An Indirect Predictor Of Risk For Metabolic Syndrome In First Year College Students, Sophie Hirsch, Hannah Peach, Trudy L. Moore-Harrison, Philip Zendels, Aria Ruggiero, Jane F. Gaultney

Journal of Social, Behavioral, and Health Sciences

Background: Habit formation can be a challenge for first-year students. Research has suggested that regardless of sleep knowledge, favorable sleep attitudes predict better sleep.

Aim: Our aim was to investigate whether sleep attitudes directly or indirectly predicted risk for metabolic syndrome via sleep.

Method: Students completed self-report and physiological measures. Participants wore wristwatches to collect sleep data. Path analyses investigated the direct or indirect effect of sleep attitude on risk for metabolic syndrome via subjective sleep (sleep quality, duration, risk for apnea) and objective sleep (sleep efficiency, duration, subjective risk for apnea).

Results: In our subjective analysis that sleep attitudes …


Identifying Barriers To Mental Health Services Utilization For Black Youth In The United States: A Qualitative Study, Emily Stein, Matthew Hutnyan, Neely Myers 2024 Southern Methodist University

Identifying Barriers To Mental Health Services Utilization For Black Youth In The United States: A Qualitative Study, Emily Stein, Matthew Hutnyan, Neely Myers

SMU Journal of Undergraduate Research

Mental health in Black communities and racial/ethnic disparities in mental health service utilization remain growing concerns. Evidence suggests that psychotic disorders may be more prevalent among Black individuals than white individuals and the Black community faces barriers to care that can negatively influence outcomes. To better understand these barriers, we interviewed mental healthcare providers (n = 11) and Black young adults with first-person experience of psychosis (n = 13) about the experiences of minority young adults with mental health treatment. We analyzed interview transcripts and, consistent with constructivist grounded theory methods, identified iterative patterns across individuals about barriers to care. …


Multiple Timescales Of Temporal Context In Risky Choice: Behavioral Identification And Relationships To Physiological Arousal, Hayley R. Brooks, Peter Sokol-Hessner 2024 University of Denver

Multiple Timescales Of Temporal Context In Risky Choice: Behavioral Identification And Relationships To Physiological Arousal, Hayley R. Brooks, Peter Sokol-Hessner

Psychology: Faculty Scholarship

Context-dependence is fundamental to risky monetary decision-making. A growing body of evidence suggests that temporal context, or recent events, alters risk-taking at a minimum of three timescales: immediate (e.g. trial-by-trial), neighborhood (e.g. a group of consecutive trials), and global (e.g. task-level). To examine context effects, we created a novel monetary choice set with intentional temporal structure in which option values shifted between multiple levels of value magnitude ("contexts") several times over the course of the task. This structure allowed us to examine whether effects of each timescale were simultaneously present in risky choice behavior and the potential mechanistic role of …


Using Network Analysis To Personalize Care For Binge Eating Disorder, Legacy S. Carter, Dr. Anna Marie Ortiz 2024 KCTCS

Using Network Analysis To Personalize Care For Binge Eating Disorder, Legacy S. Carter, Dr. Anna Marie Ortiz

Posters-at-the-Capitol

Legacy Carter, KCTCS; Dr. Anna Marie Ortiz, University of Louisville, Psychology and Brain Sciences Department

Title:Using network analysis to personalize care for Binge Eating Disorder

Binge Eating Disorder is the compulsive behavior to overeat food, usually within a brief time frame. Symptoms such as anxiety, fear of being fat and perfectionism could trigger a person to binge eat. Network analysis is a statistical approach in health psychology that uses graphical representations of relationships among variables, and could be useful in identifying the symptoms that cause Binge Eating Disorder. The information collected could come from surveys, interviews or clinical studies. Network …


Generalization And Discrimination Of Inhibitory Avoidance Differentially Engage Anterior And Posterior Retrosplenial Subregions, Erisa Met Hoxha, Payton K. Robinson, Kaitlyn M. Greer, Sydney Trask 2024 Purdue University

Generalization And Discrimination Of Inhibitory Avoidance Differentially Engage Anterior And Posterior Retrosplenial Subregions, Erisa Met Hoxha, Payton K. Robinson, Kaitlyn M. Greer, Sydney Trask

Purdue University Libraries Open Access Publishing Fund

Introduction: In a variety of behavioral procedures animals will show selective fear responding in shock-associated contexts, but not in other contexts. However, several factors can lead to generalized fear behavior, where responding is no longer constrained to the conditioning context and will transfer to novel contexts.

Methods: Here, we assessed memory generalization using an inhibitory avoidance paradigm to determine if generalized avoidance behavior engages the retrosplenial cortex (RSC). Male and female Long Evans rats received inhibitory avoidance training prior to testing in the same context or a shifted context in two distinct rooms; one room that had fluorescent lighting (Light) …


Overnight 1-Mg Dst Serum Cortisol In Various Stages Of Chronic Kidney Disease-Normative Data And Underlying Mechanisms, Robin Garg, Saba Samad Memon, Anurag Lila, Vijaya Sarathi, Priyanka Patil, Tukaram Jamale, Sreyashi Bose, Manjiri Karlekar, Virendra Patil, Nalini Shah, Tushar Bandgar 2024 The Texas Medical Center Library

Overnight 1-Mg Dst Serum Cortisol In Various Stages Of Chronic Kidney Disease-Normative Data And Underlying Mechanisms, Robin Garg, Saba Samad Memon, Anurag Lila, Vijaya Sarathi, Priyanka Patil, Tukaram Jamale, Sreyashi Bose, Manjiri Karlekar, Virendra Patil, Nalini Shah, Tushar Bandgar

Faculty, Staff and Student Publications

CONTEXT: Data on the overnight 1 mg-dexamethasone suppression test (ONDST) in renal dysfunction are limited.

OBJECTIVE: We aim to determine the normative range of ONDST cortisol across chronic kidney disease (CKD) stages and reasons for its alteration.

METHODS: Prospectively, 180 CKD (30 each in G2-G5/5D) patients and 30 healthy controls underwent ONDST 8 Am serum cortisol (chemiluminescent immunoassay [CLIA]). In an exploratory cohort, 45 (15 each: G3b/G4, G5/G5D, and healthy controls) individuals' blood biochemistry for basal (8 Am) cortisol and adrenocorticotropin (ACTH), post-ONDST 8 Am dexamethasone, ACTH, cortisol (CLIA and liquid chromatography-tandem mass spectrometry), and 4 Pm cortisol was collected. …


Conscious Selection: Critical Consciousness Informs Cultivation Of Social Networks In A Living And Learning Community, Olga Kornienko, Esther Burson, DaSean L. Young, Erin Godfrey, Pamela Garner 2024 George Mason University

Conscious Selection: Critical Consciousness Informs Cultivation Of Social Networks In A Living And Learning Community, Olga Kornienko, Esther Burson, Dasean L. Young, Erin Godfrey, Pamela Garner

Psychology: Faculty Publications

Increased popular discourse about societal inequities highlights the importance of critical consciousness (CC) as a developmental competency for youth. Peer dialogue has been implicit to theories of CC, but we know little about how critical reflection, action, and sociopolitical efficacy inform interpersonal mechanisms through which social networks are selected in developmentally salient contexts. We used social network analysis methods to explore the role of CC components in how late adolescents cultivated their peer affiliation and friendship networks within a specific context of a college living and learning community. Participants (n = 37; 67.6% female; Mage = 18.18 years, 56.81% White) …


Digital Phobia: An Inquiry For Mapping The Unseen Dimension Of New Digital Anxiety, The ‘Digiphobia’, Amarjit Kumar Singh ,Library Assistant, Md. Arshad Ali , Professional Assistant, Dr. Pankaj Mathur, Deputy Librarian, 2024 Central University of South Bihar (CUSB)

Digital Phobia: An Inquiry For Mapping The Unseen Dimension Of New Digital Anxiety, The ‘Digiphobia’, Amarjit Kumar Singh ,Library Assistant, Md. Arshad Ali , Professional Assistant, Dr. Pankaj Mathur, Deputy Librarian,

Library Philosophy and Practice (e-journal)

Background: As technology continues to advance, individuals' interactions with digital platforms have become integral to daily life. Amidst this technological evolution, a novel concern emerges—Digital Phobia, hereafter referred to as “Digiphobia.” This phenomenon, although not previously explored in scholarly literature, necessitates an in-depth investigation due to its potential impact on individuals' well-being. Our research employs a two-step methodology to investigate its existence, implications, and manifestations.

Introduction: This research paper introduces and proposes the term "Digiphobia" as a comprehensive conceptualization of anxiety arising from interactions with digital spaces, applications, and environments. The proliferation of digital technologies has led to the emergence …


Deepbiomarker2: Prediction Of Alcohol And Substance Use Disorder Risk In Post-Traumatic Stress Disorder Patients Using Electronic Medical Records And Multiple Social Determinants Of Health, Oshin Miranda, Peihao Fan, Xiguang Qi, Haohan Wang, M Daniel Brannock, Thomas R Kosten, Neal David Ryan, Levent Kirisci, Lirong Wang 2024 The Texas Medical Center Library

Deepbiomarker2: Prediction Of Alcohol And Substance Use Disorder Risk In Post-Traumatic Stress Disorder Patients Using Electronic Medical Records And Multiple Social Determinants Of Health, Oshin Miranda, Peihao Fan, Xiguang Qi, Haohan Wang, M Daniel Brannock, Thomas R Kosten, Neal David Ryan, Levent Kirisci, Lirong Wang

Faculty, Staff and Students Publications

Prediction of high-risk events amongst patients with mental disorders is critical for personalized interventions. We developed DeepBiomarker2 by leveraging deep learning and natural language processing to analyze lab tests, medication use, diagnosis, social determinants of health (SDoH) parameters, and psychotherapy for outcome prediction. To increase the model's interpretability, we further refined our contribution analysis to identify key features by scaling with a factor from a reference feature. We applied DeepBiomarker2 to analyze the EMR data of 38,807 patients from the University of Pittsburgh Medical Center diagnosed with post-traumatic stress disorder (PTSD) to determine their risk of developing alcohol and substance …


Associations Between Genetically Predicted Plasma Protein Levels And Alzheimer’S Disease Risk: A Study Using Genetic Prediction Models, Jingjing Zhu, Shuai Liu, Keenan A Walker, Hua Zhong, Dalia H Ghoneim, Zichen Zhang, Praveen Surendran, Sarah Fahle, Adam Butterworth, Md Ashad Alam, Hong-Wen Deng, Chong Wu, Lang Wu 2024 The Texas Medical Center Library

Associations Between Genetically Predicted Plasma Protein Levels And Alzheimer’S Disease Risk: A Study Using Genetic Prediction Models, Jingjing Zhu, Shuai Liu, Keenan A Walker, Hua Zhong, Dalia H Ghoneim, Zichen Zhang, Praveen Surendran, Sarah Fahle, Adam Butterworth, Md Ashad Alam, Hong-Wen Deng, Chong Wu, Lang Wu

Faculty, Staff and Student Publications

BACKGROUND: Specific peripheral proteins have been implicated to play an important role in the development of Alzheimer's disease (AD). However, the roles of additional novel protein biomarkers in AD etiology remains elusive. The availability of large-scale AD GWAS and plasma proteomic data provide the resources needed for the identification of causally relevant circulating proteins that may serve as risk factors for AD and potential therapeutic targets.

METHODS: We established and validated genetic prediction models for protein levels in plasma as instruments to investigate the associations between genetically predicted protein levels and AD risk. We studied 71,880 (proxy) cases and 383,378 …


Multi-Site Benchmark Classification Of Major Depressive Disorder Using Machine Learning On Cortical And Subcortical Measures, Vladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, Andre Aleman, Alyssa R Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Robin Bülow, Christopher R K Ching, Colm G Connolly, Kathryn Cullen, Christopher G Davey, Danai Dima, Annemiek Dols, Jennifer W Evans, Cynthia H Y Fu, Ali Saffet Gonul, Ian H Gotlib, Hans J Grabe, Nynke Groenewold, J Paul Hamilton, Ben J Harrison, Tiffany C Ho, Benson Mwangi, Natalia Jaworska, Neda Jahanshad, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Meng Li, David E J Linden, Frank P MacMaster, David M A Mehler, Elisa Melloni, Bryon A Mueller, Amar Ojha, Mardien L Oudega, Brenda W J H Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J Portella, Elena Pozzi, Liesbeth Reneman, Matthew D Sacchet, Philipp G Sämann, Anouk Schrantee, Kang Sim, Jair C Soares, Dan J Stein, Sophia I Thomopoulos, Aslihan Uyar-Demir, Nic J A van der Wee, Steven J A van der Werff, Henry Völzke, Sarah Whittle, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Tony T Yang, Carlos Zarate, Dick J Veltman, Lianne Schmaal, Paul M Thompson, Roberto Goya-Maldonado, ENIGMA Major Depressive Disorder working group 2024 The Texas Medical Center Library

Multi-Site Benchmark Classification Of Major Depressive Disorder Using Machine Learning On Cortical And Subcortical Measures, Vladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, Andre Aleman, Alyssa R Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Robin Bülow, Christopher R K Ching, Colm G Connolly, Kathryn Cullen, Christopher G Davey, Danai Dima, Annemiek Dols, Jennifer W Evans, Cynthia H Y Fu, Ali Saffet Gonul, Ian H Gotlib, Hans J Grabe, Nynke Groenewold, J Paul Hamilton, Ben J Harrison, Tiffany C Ho, Benson Mwangi, Natalia Jaworska, Neda Jahanshad, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Meng Li, David E J Linden, Frank P Macmaster, David M A Mehler, Elisa Melloni, Bryon A Mueller, Amar Ojha, Mardien L Oudega, Brenda W J H Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J Portella, Elena Pozzi, Liesbeth Reneman, Matthew D Sacchet, Philipp G Sämann, Anouk Schrantee, Kang Sim, Jair C Soares, Dan J Stein, Sophia I Thomopoulos, Aslihan Uyar-Demir, Nic J A Van Der Wee, Steven J A Van Der Werff, Henry Völzke, Sarah Whittle, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Tony T Yang, Carlos Zarate, Dick J Veltman, Lianne Schmaal, Paul M Thompson, Roberto Goya-Maldonado, Enigma Major Depressive Disorder Working Group

Faculty, Staff and Student Publications

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with the largest multi-site sample size to date (N = 5365) to provide a generalizable ML classification benchmark of major depressive disorder (MDD) using shallow linear and non-linear models. Leveraging brain measures from standardized ENIGMA analysis pipelines in FreeSurfer, we were able to classify MDD versus healthy controls (HC) with a balanced accuracy …


A Life-Threatening Emergency Exacerbated By Untreated Mental Illness In A Low-Barrier Health Center, Brendan J. Prast, Byron Marshall 2024 Maine Medical Center

A Life-Threatening Emergency Exacerbated By Untreated Mental Illness In A Low-Barrier Health Center, Brendan J. Prast, Byron Marshall

Journal of Maine Medical Center

Introduction: We report on a patient with untreated severe mental illness who presented with a life-threatening emergency: retained products of conception and hemorrhage.

Clinical Findings: A female patient experiencing homelessness developed life-threatening hemorrhage. Her mental illness impaired effective communication and treatment.

Clinical Course: The patient presented with fatigue, vaginal bleeding, and known retained products of conception. Her active mental illness complicated the situation as it limited effective communication and treatment due to delusions. She requested only treatment for an infectious cause of her symptoms. She refused most interventions and had a self-directed discharge from the hospital. Throughout this process, we …


Association Of Depression With Myocardial Infarction With Non-Obstructive Coronary Arteries: A Systematic Review, Sarim Rashid, Khawaja Usama Maqbool, Umer Hassan, Subhan Ahmed, Hamayle Saeed, FNU Avanteeka, Syed Muhammad Jawad Zaidi, Jahanzeb Malik, Amin Mehmoodi 2024 Department of General Surgery, East Lancashire NHS Trust, Lancashire, UK

Association Of Depression With Myocardial Infarction With Non-Obstructive Coronary Arteries: A Systematic Review, Sarim Rashid, Khawaja Usama Maqbool, Umer Hassan, Subhan Ahmed, Hamayle Saeed, Fnu Avanteeka, Syed Muhammad Jawad Zaidi, Jahanzeb Malik, Amin Mehmoodi

Journal of Community Hospital Internal Medicine Perspectives

This systematic review examined the association between depression and myocardial infarction with non-obstructive coronary arteries (MINOCA). A comprehensive literature search was conducted using electronic databases, resulting in the inclusion of six small case-control and cohort studies reported from Spain, Australia, China, and Pakistan. The studies included various study designs, such as cohort studies, case-control studies, and prospective cohort studies. The results of the systematic review indicate a significant association between depression and MINOCA. Several studies reported a higher prevalence of depression among MINOCA patients compared to those with obstructive coronary artery disease. Additionally, depression was found to be associated with …


Medication Errors In Hospitals, Isata Jalloh 2024 Liberty University

Medication Errors In Hospitals, Isata Jalloh

Doctoral Dissertations and Projects

In hospitals, the issue of medication errors poses a serious problem, often leading to substantial health complications and, in some cases, even deaths among hospitalized as well as discharged patients. This health challenge not only imposes a substantial financial burden on patients, insurance providers, and Federal/State governments but also contributes to elevated healthcare expenses, hindering the effective allocation of resources to address other healthcare issues. Understanding the triggers of medication errors in hospitals is critical in solving this problem. The purpose of this integrative review is to determine the causes/triggers of medication errors in hospitals. This review will highlight the …


Challenges And Promising Solutions To Engaging Patients In Healthcare Implementation In The United States: An Environmental Scan, Eva N. Woodward, Andrea Isabel Castillo, Gala true, Cathleen Willging, JoAnn E. Kirchner 2024 VA Center for Mental Healthcare and Outcomes Research, North Little Rock, AR

Challenges And Promising Solutions To Engaging Patients In Healthcare Implementation In The United States: An Environmental Scan, Eva N. Woodward, Andrea Isabel Castillo, Gala True, Cathleen Willging, Joann E. Kirchner

School of Medicine Faculty Publications

BACKGROUND: One practice in healthcare implementation is patient engagement in quality improvement and systems redesign. Implementers in healthcare systems include clinical leadership, middle managers, quality improvement personnel, and others facilitating changes or adoption of new interventions. Patients provide input into different aspects of health research. However, there is little attention to involve patients in implementing interventions, especially in the United States (U.S.), and this might be essential to reduce inequities. Implementers need clear strategies to overcome challenges, and might be able to learn from countries outside the U.S. METHODS: We wanted to understand existing work about how patients are being …


Effect Of Anti-Interleukin-6 Agents On Psychopathology In A Sample Of Patients With Post-Covid-19 Syndrome: An Observational Study, Alessio Simonetti, Antonio Restaino, Evelina Bernardi, Ottavia Marianna Ferrara, Stella Margoni, Antonio Maria D'Onofrio, Federica Ranieri, Delfina Janiri, Vincenzo Galluzzo, Matteo Tosato, Georgios D Kotzalidis, Francesco Landi, Gabriele Sani 2024 The Texas Medical Center Library

Effect Of Anti-Interleukin-6 Agents On Psychopathology In A Sample Of Patients With Post-Covid-19 Syndrome: An Observational Study, Alessio Simonetti, Antonio Restaino, Evelina Bernardi, Ottavia Marianna Ferrara, Stella Margoni, Antonio Maria D'Onofrio, Federica Ranieri, Delfina Janiri, Vincenzo Galluzzo, Matteo Tosato, Georgios D Kotzalidis, Francesco Landi, Gabriele Sani

Faculty, Staff and Students Publications

Interleukin 6 (IL-6) receptor inhibitors tocilizumab and sarilumab have recently been approved for severe coronavirus disease 2019 (COVID-19). They also affect mood, even though their effect on the post-COVID-19 syndrome-related psychopathology still has to be investigated. The aim of this study was to investigate their effect on psychopathology in a sample of patients with post-COVID-19 syndrome. We included 246 patients (34% female, 66% male) aged 18–75 years who had been hospitalized for COVID. Patients were split into those who received anti-IL-6 receptor agents (Anti-IL-6-R, N = 88) and those who did not (Ctrl, N = 158). The former group was …


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