Past Diagnosis Research Articles

Psychiatric Disorders and Their Impact on Herpes Zoster Incidence: Five Years of Data from Turkiye

Background/Objectives: This study investigates the relationship between psychiatric disorders and herpes zoster (HZ). Emergency and outpatient admissions to Kırşehir Education and Research Hospital between 2019 and 2023 were examined. Psychiatric disorders are known in the literature as one of the factors that weaken the immune system, thereby increasing the risk of infection. Methods: In our study, the past diagnoses and sociodemographic data of all individuals over the age of 18 who applied to the Kırşehir Education and Research Hospital between 2019 and 2023 were obtained from hospital system records. Patients receiving immunosuppressive treatment or those with diseases that could affect immune system function were excluded from the study. The sample was divided into two groups: those with and without psychiatric disorders diagnosed with HZ. Sociodemographic features, change of HZ frequency over the years, and differences among psychiatric diagnosis subgroups were examined between the groups. Results: Individuals with psychiatric diseases had a significantly higher frequency of HZ compared to those without psychiatric diseases (0.0040% vs. 0.0016%, p < 0.001). No significant difference was found in the frequency of HZ among different types of psychiatric disorders (p = 0.60). Additionally, no statistically significant difference was found in the median age between the groups (p = 0.11). In terms of gender distribution, it was determined that women were more frequently diagnosed with HZ compared to men. Conclusions: The frequency of HZ was found to be higher in individuals with psychiatric disorders. However, further research is needed to explore the association between specific psychiatric diagnoses and HZ frequency.

Abstract 4114276: Identification of the heterogeneity in the risk of heart failure in those with left bundle branch block pattern using artificial intelligence

Introduction: The association between left bundle branch block (LBBB) and heart failure is well-established. However, the lack of a practical risk assessment tool for patients with LBBB poses a clinical challenge to the management despite the heterogeneity of the LBBB population. Hypothesis: Artificial intelligence (AI) can extract features to stratify the risk of heart failure (HF) within the heterogeneity of LBBB. Methods: All 12-lead ECGs diagnosed with LBBB recorded from 1/1/2015 to 12/31/2019 were identified in our institution. ECG data were analyzed as 2D matrices with a shape of 12×2500. The Uniform Manifold Approximation and Projection (UMAP) was used to visualize the heterogeneity of LBBB ECG. Additionally, a 2-dimensional convolutional neural network model was trained to detect LBBB ECGs associated with past HF diagnosis. The model was then applied to ECGs from an external cohort of patients with LBBB but without a history of HF. Cumulative incidences of HF admission were compared by stratifying according to tertiles of the model output (low, intermediate and high AI score groups) Results: We identified 15,124 LBBB ECGs in our institution (training dataset) and 2,463 individuals with LBBB ECGs in the external cohort (external test dataset). The UMAP projection of the ECGs revealed distinct heterogeneity in the data ( Fig A ). This heterogeneity was not fully explained by patient demographics, ECG features, or institutions. When the external cohort was divided into 3 groups according to the tertile of AI prediction, patients with high AI scores had a higher risk of HF admission (high vs low AI score group: hazard ratio (HR), 2.10; 95% confidence interval (CI), 1.66-2.65; intermediate vs low AI score group: HR, 1.39; 95%CI, 1.08-1.78: log-rank p <0.0001; Fig 1B ). This finding was unchanged after adjusting for multiple clinical characteristics and ECG parameters, including QRS duration. Conclusion: We observed significant heterogeneity in ECGs presenting LBBB, and the AI model excellently stratified the risk of heart failure admission in patients with LBBB from a single recording of 12-lead ECG, suggesting great potential for clinical utility in managing patients with LBBB.

Personality Feedback With Tailored Self-Care Recommendations Improves Self-Efficacy for Cancer Management: A Randomized Controlled Trial.

To test whether a personality feedback intervention improves three domains of cancer self-management: self-awareness, self-efficacy, and positive affect. From 11/2020-02/2021, 372 adults diagnosed with cancer participated in a randomized controlled trial (RCT) of an intervention that entailed reading a brief personality-related excerpt during an online survey. Eligibility included self-reported age ≥ 18years, current or past cancer diagnosis, and ability to read English. The survey included a baseline assessment with a personality questionnaire, then randomized participants to one of two groups. The intervention group (n=184) received a personality feedback report with tailored self-care tips, whereas the control group (n=188) received a generic reading on personality theory. At the end of the survey, participants completed outcome measures of self-awareness (primary), self-efficacy for illness management, and positive affect. General linear models tested between-group differences in changes from baseline to post-test on each outcome. There was no intervention effect on self-awareness (primary outcome) or positive affect. However, compared to controls, intervention participants experienced a greater increase in self-efficacy for illness management (d=0.33, p=0.002), including in 2 of 3 constituent domains: self-efficacy for managing symptoms (d=0.36, p<0.001) and self-efficacy for managing treatments/medication (d=0.22, p=0.035). Despite the primary outcome's null results, this was the first RCT of a personality feedback intervention to show improvements in self-efficacy for managing chronic illness. Given the important role of self-efficacy in self-management, the intervention has implications for other cancer outcomes. Follow-up studies on longer-term outcomes such as health behaviors and quality of life should be explored. NCT04625439.

Remote Patient Monitoring Using Mobile Health Technology in Cancer Care and Research: Patients' Views and Preferences.

There is an increasing interest in studying the potential of mobile health (mHealth) technologies, such as smartphone apps and wearables, as monitoring tools for patients with cancer during or after their treatment. However, little research is dedicated to exploring the opinions and concerns of patients regarding the adoption of these technologies. This study aimed to gain insight into patients' perspectives and preferences for participating in mHealth-based monitoring in cancer care. A qualitative study comprising semistructured interviews was conducted in the Netherlands between April and June 2023. Participants were eligible if they were 18 years or older with a current or past diagnosis of cancer. The interview guide was developed on the basis of the technology acceptance model, with main themes being use, communication, trust, privacy, and expectations. Thirteen participants with urologic primary cancer were interviewed. Most patients had already some familiarity with the use of digital monitoring devices or wearables. Main barriers included persistent reminders of the illness, receiving notifications deemed unnecessary or unwanted, and the acknowledgment that mHealth technology does not serve as a substitute for human doctors. Conversely, patients recognized the potential for time-savings through the utilization of mHealth, viewed active monitoring as nonburdensome, considered mHealth a tool for reducing the communication threshold with their doctor, and expressed willingness to adopt such a platform if they perceived personal or societal relevance. This study has elucidated which factors are important for successful development of mHealth for patients with cancer. While both barriers and facilitators play a role, patients' attitudes were positive toward the implementation of remote digital monitoring, showing promising prospects for future research of mHealth in oncology.

Baseline characteristics and outcomes of patients admitted to intensive cardiovascular care unit

Abstract Background Intensive Cardiovascular Care Unit (ICCU) is a crucial element of care for critically ill patients suffering from cardiovascular disease. Therefore, we aimed to provide data on the characteristics and outcomes of patients admitted to ICCU. Methods Data was obtained from One Intensive Cardiovascular Care Unit (One ICCU) Registry, a collaborative multicentre research network of ICCU. A total of 10 centres participated in this registry, eight centres were ICCU level III and the remaining were ICCU level II. Each participating centre collected data of patients admitted to ICCU from August 2021 until August 2023. Data recorded were demographics, past medical history, diagnosis, treatment, complications, outcome, and 30-day follow up. Only first ICCU admission data from each patient was analysed to prevent outcome-related bias from readmission data. Results 12,950 patients were included in the analysis of which 9308 (71.9%) were male and the median age was 59 (51-66) years. Most common diagnosis on admission was acute coronary syndromes (69.8%) followed by acute heart failure (34.6%) and arrhythmias (25.8%). Cardiovascular complication most frequently during ICCU stay was cardiogenic shock (18.9%) while for non-cardiovascular complication was acute kidney injury (17.4%). Cardiac arrest (61.2%), respiratory failure (43%), and sepsis (38%) were among the highest case fatality rates for ICCU complications. Overall mortality was found to be approximately 11.4%, 14.3%, and 15.2% for intra ICCU, in-hospital and 30-day mortality, respectively. Non-cardiovascular variables which were independently associated with 30-day mortality were pre-existing asthma (OR 2.12, CI 1.315 – 3.411, p=0.002) and chronic kidney disease (OR 1.67, CI 1.308 – 2.139, p&amp;lt;0.001), initial diagnosis of respiratory failure (OR 4.01, CI 3.373 – 4.773, p&amp;lt;0.001), haemorrhagic stroke(OR 3.46, CI 1.396 – 8.574, p=0.007), ischaemic stroke (OR 3.12, CI 2.248 – 4.345, p&amp;lt;0.001), sepsis (OR 2.00, CI 1.715 – 2.334, p&amp;lt;0.001), urinary tract infection (OR 1.60, CI 1.228 – 2.226, p=0.001) and pneumonia (OR 1.29, CI 1.120 – 1.482, p&amp;lt;0.001), as well as complications during ICCU stay which consisted of haemorrhagic stroke (OR 3.91, CI 1.062 – 14.414, p=0.040), respiratory failure (OR 2.91, CI 2.081 – 4.070, p&amp;lt;0.001), sepsis (OR 2.17, CI 1.686 – 2.790, p&amp;lt;0.001), ischaemic stroke (OR 1.84, CI 1.074 – 3.139, p=0.026), and urinary tract infection (OR 1.39, CI 1.039 – 1.851, p=0.026). Conclusion Patients admitted to our ICCU were relatively younger and the cause for ICCU admission was still predominated by acute coronary syndrome. Despite that, non-cardiovascular condition also warrants clinicians attention due to its significant role as predictors of mortality. Non-cardiac complications that arise during ICCU care also emphasize the importance of collaboration with specialists in other disciplines to improve patient’s outcomes.Diagnosis (A) and Case Fatality (B)Mortality Predictors at 30 days

Experiences of externalisation in recovery from Anorexia Nervosa: a reflexive thematic analysis

BackgroundMany individuals perceive Anorexia Nervosa (AN) as a part of their personal identity. Externalisation of the problem is a practice that is often taken up within NICE recommended treatments for AN. Dominant understandings of externalisation are that this practice involves making the “problem” a separate entity, external to the individual. It is an attitude taken by the client and family, stimulated by the therapist to build engagement with treatment and supportive relationships around the individual. However, there is a paucity of research exploring the therapeutic effects of this approach. This research aims to address this gap by exploring the role of externalisation in treatment for AN to elicit an understanding of how this practice is experienced including how it can help and hinder recovery.MethodsThirteen adults with a current and/or past diagnosis of AN participated in semi-structured interviews. This qualitative study used a reflexive thematic analysis.AnalysisParticipants described their experience of externalisation as a journey which is depicted by four main themes. ‘Separating the AN from the self’ reflects the tensions inherent in learning to distinguish between one’s perceived sense of "self" and "the AN". ‘Making sense of the AN’ describes the experience of language forms used to separate the AN from the individual’s identity. ‘Feeling seen, or unseen as a person beyond the AN’ illustrates the helpful and harmful effects of externalising practices on relationships. ‘Navigating a complex relationship with the AN’ depicts the effects of one-, versus two-way externalisation on the individual’s relationship to AN.ConclusionsThe notion of separating one’s internal dialogue from one’s concept of self may initially be rejected by the individual experiencing AN. However, as the individual develops trust in the therapist and becomes socialised to common forms of externalising language, they may begin to realise two sides within them, a perceived “healthy self” and “the anorexia voice”. However, social-cultural discourses around eating contribute to ambiguity during the differentiation between these two voices, thus elucidating the effects of an absence of problem deconstruction alongside externalisation within ED-focussed treatments. Externalising practices were most helpful when led by the individual using their own experience-near language and least helpful when they did not permit the individual to feel seen as a person beyond the AN. Therapists, treatment teams and family members should be cognisant of the emotional effects of language used to externalise AN. Importantly, they should ensure that externalisation is practiced within the spirit of narrative therapy from which it originates.

Emotional competence self-help app versus cognitive behavioural self-help app versus self-monitoring app to prevent depression in young adults with elevated risk (ECoWeB PREVENT): an international, multicentre, parallel, open-label, randomised controlled trial

Effective, scalable interventions are needed to prevent poor mental health in young people. Although mental health apps can provide scalable prevention, few have been rigorously tested in high-powered trials built on models of healthy emotional functioning or tailored to individual profiles. We aimed to test a personalised emotional competence app versus a cognitive behavioural therapy (CBT) self-help app versus a self-monitoring app to prevent an increase in depression symptoms in young people. This multicentre, parallel, open-label, randomised controlled trial, within a cohort multiple randomised trial (including a parallel trial of wellbeing promotion) was done at four university trial sites in the UK, Germany, Spain, and Belgium. Participants were recruited from schools, universities, and social media from the four respective countries. Eligible participants were aged 16-22 years with increased vulnerability indexed by baseline emotional competence profile, without current or past diagnosis of major depression. Participants were randomly assigned (1:1:1) to usual practice plus either the personalised emotional competence self-help app, the generic CBT self-help app, or the self-monitoring app by an independent computerised system, minimised by country, age, and self-reported gender, and followed up for 12 months post-randomisation. Outcome assessors were masked to group allocation. The primary outcome was depression symptoms (according to Patient Health Questionnaire-9 [PHQ-9]) at 3-month follow-up, analysed in participants who completed the 3-month follow-up assessment. The study is registered with ClinicalTrials.gov, NCT04148508, and is closed. Between Oct 15, 2020, and Aug 3, 2021, 1262 participants were enrolled, including 417 to the emotional competence app, 423 to the CBT app, and 422 to the self-monitoring app. Mean age was 18·8 years (SD 2·0). Of 1262 participants self-reporting gender, 984 (78·0%) were female, 253 (20·0%) were male, 15 (1·2%) were neither, and ten (0·8%) were both. 178 participants in the emotional competence app group, 191 in the CBT app group, and 199 in the self-monitoring app group completed the follow-up assessment at 3 months. At 3 months, depression symptoms were lower with the CBT app than the self-monitoring app (mean difference in PHQ-9 -1·18 [95% CI -2·01 to -0·34]; p=0·006), but depression symptoms did not differ between the emotional competence app and the CBT app (0·63 [-0·22 to 1·49]; p=0·15) or the self-monitoring app and emotional competence app (-0·54 [-1·39 to 0·31]; p=0·21). 31 of the 541 participants who completed any of the follow-up assessments received treatment in hospital or were admitted to hospital for mental health-related reasons considered unrelated to interventions (eight in the emotional competence app group, 15 in the CBT app group, and eight in the self-monitoring app group). No deaths occurred. The CBT app delayed increases in depression symptoms in at-risk young people relative to the self-monitoring app, although this benefit faded by 12 months. Against hypotheses, the emotional competence app was not more effective at reducing depression symptoms than the self-monitoring app. CBT self-help apps might be valuable public mental health interventions for young people given their scalability, non-consumable nature, and affordability. European Commission.

Emotional competence self-help mobile phone app versus cognitive behavioural self-help app versus self-monitoring app to promote mental wellbeing in healthy young adults (ECoWeB PROMOTE): an international, multicentre, parallel, open-label, randomised controlled trial

Based on evidence that mental health is more than an absence of mental disorders, there have been calls to find ways to promote flourishing at a population level, especially in young people, which requires effective and scalable interventions. Despite their potential for scalability, few mental wellbeing apps have been rigorously tested in high-powered trials, derived from models of healthy emotional functioning, or tailored to individual profiles. We aimed to test a personalised emotional competence self-help app versus a cognitive behavioural therapy (CBT) self-help app versus a self-monitoring app to promote mental wellbeing in healthy young people. This international, multicentre, parallel, open-label, randomised controlled trial within a cohort multiple randomised trial (including a parallel trial of depression prevention) was done at four university trial sites in four countries (the UK, Germany, Spain, and Belgium). Participants were recruited from schools and universities and via social media from the four respective countries. Eligible participants were aged 16-22 years with well adjusted emotional competence profiles and no current or past diagnosis of major depression. Participants were randomised (1:1:1) to usual practice plus either the emotional competence app, the CBT app or the self-monitoring app, by an independent computerised system, minimised by country, age, and self-reported gender, and followed up for 12 months post-randomisation. The primary outcome was mental wellbeing (indexed by the Warwick-Edinburgh Mental Well Being Scale [WEMWBS]) at 3-month follow-up, analysed in participants who completed the 3-month follow-up assessment. Outcome assessors were masked to group allocation. The study is registered with ClinicalTrials.gov, NCT04148508, and is closed. Between Oct 15, 2020, and Aug 3, 2021, 2532 participants were enrolled, and 847 were randomly assigned to the emotional competence app, 841 to the CBT app, and 844 to the self-monitoring app. Mean age was 19·2 years (SD 1·8). Of 2532 participants self-reporting gender, 1896 (74·9%) were female, 613 (24·2%) were male, 16 (0·6%) were neither, and seven (0·3%) were both. 425 participants in the emotional competence app group, 443 in the CT app group, and 447 in the self-monitoring app group completed the follow-up assessment at 3 months. There was no difference in mental wellbeing between the groups at 3 months (global p=0·47). The emotional competence app did not differ from the CBT app (mean difference in WEMWBS -0·21 [95% CI -1·08 to 0·66]) or the self-monitoring app (0·32 [-0·54 to 1·19]) and the CBT app did not differ from the self-monitoring app (0·53 [-0·33 to 1·39]). 14 of 1315 participants were admitted to or treated in hospital (or both) for mental health-related reasons, which were considered unrelated to the interventions (five participants in the emotional competence app group, eight in the CBT app group, and one in the self-monitoring app group). No deaths occurred. The emotional competence app and the CBT app provided limited benefit in promoting mental wellbeing in healthy young people. This finding might reflect the low intensity of these interventions and the difficulty improving mental wellbeing via universal digital interventions implemented in low-risk populations. European Commission.

Abstract B077: La lengua materna: Understanding language challenges experienced by Latino patients and caregivers in rectal cancer care

Abstract Background/Purpose: Language concordance is critical for effective communication between patient and provider. Compared to the percentage of primary Spanish speakers in California, there is a lack of Spanish-speaking providers in healthcare, especially in oncology. In-house hospital interpreters help overcome basic language barriers; however, even with the adoption of these services, there remain gaps in comprehension. Such gaps in communication can compromise the informed decision-making process, necessitating novel approaches to multilingual health communication. This study aimed to (a) explore language barriers Hispanic/Latino patients and their caregivers face when navigating rectal cancer care services and (b) propose a culturally-tailored solution that could address these barriers. Methods/Study Population: We designed a community-based participatory study using qualitative methods. Specifically, we formed a Community Advisory Board and partnered with local promotoras – health navigators with strong ties to the Hispanic/Latino community. Together, we developed a semi-structured interview guide to shape our conversations with individuals residing in the Bay Area or the San Joaquin Valley who identify as Hispanic/Latino, and who reported having either a past or current rectal cancer diagnosis. We also invited their caregiver(s) to attend the interview. Interviews lasted 45-60 minutes in English or Spanish. Over a 6-month period, twenty interviews were conducted with patients alone (n= 14), a caregiver alone (n=2), and patient-caregiver pairs (n=4). Data analysis utilized grounded theory and reflexive thematic analysis to identify core themes. Results: Themes that arose include (1) ineffective and non-satisfactory communication through electronic interpreter services, (2) bilingual caregiver burden in reinforcing interpreter translations due to dialect differences, (3) patients not actively seeking out translation services for concern of causing inconvenience to the healthcare team, (4) patients’ preferred language not accurately captured in the electronic medical record. Conclusion: Interpreter services have helped bridge the language gap in healthcare, but inevitable gaps remain as language involves more than just the spoken word; it includes the culturally influenced non-verbal cues and the management of emotional responses to the information provided, components of communication which interpreters may miss. A solution to address the cultural complexities of language among this population in this setting, could be the adoption of promotoras; these health navigators share multiple aspects of their cultural identities with the patient population, making them uniquely positioned to bridge the gap between the medical system and the Hispanic/Latino community. Citation Format: Eleanor Brown, Julian P Howland, Min Y. Kim, Lucas K. Carpenter, Patricia Castañeda, Maria Gonzalez, Miriam T. Hernandez, Zaria N. Cosby, Kristen M. Davis-Lopez, Ysabel Duron, Gladys M. Rodriguez, Sandra S. Zaky, Arden M. Morris, Aaron J. Dawes. La lengua materna: Understanding language challenges experienced by Latino patients and caregivers in rectal cancer care [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B077.

Effectiveness of modified vaccinia Ankara-Bavarian Nordic vaccine against mpox infection: emulation of a target trial

ObjectiveTo estimate the real world effectiveness of modified vaccinia Ankara-Bavarian Nordic (MVA-BN) vaccine against mpox infection.DesignEmulation of a target trial.SettingLinked databases in Ontario, Canada.Participants9803 men aged ≥18 years with a...

Parathyroidectomy and the Development of New Depression Among Adults With Primary Hyperparathyroidism

Primary hyperparathyroidism (PHPT) is a common endocrine disorder associated with neuropsychiatric symptoms. Although parathyroidectomy has been associated with improvement of preexisting depression among adults with PHPT, the effect of parathyroidectomy on the development of new depression is unknown. To determine the effect of early parathyroidectomy on the incidence of new depression among adults with PHPT compared with nonoperative management. Analyzed data included observational national Veterans Affairs data from adults with a new diagnosis of PHPT from 2000 through 2019 using target trial emulation with cloning, a biostatistical method that uses observational data to emulate a randomized clinical trial. New depression rates were compared between those treated with early parathyroidectomy vs nonoperative management using an extended Cox model with time-varying inverse probability censoring weighting, adjusted for patient demographics, comorbidities, and depression risk factors. Eligible adults with a new biochemical diagnosis of PHPT, excluding those with past depression diagnoses, residing in an assisted living/nursing facility, or with Charlson Comorbidity Index score higher than 4 were included. These data were analyzed January 4, 2023, through June 15, 2023. Early parathyroidectomy (within 1 year of PHPT diagnosis) vs nonoperative management. New depression, including among subgroups according to patient age (65 years or older; younger than 65 years) and baseline serum calcium (11.3 mg/dL or higher; less than 11.3 mg/dL). The study team identified 40 231 adults with PHPT and no history of depression of whom 35896 were male (89%) and the mean (SD) age was 67 (11.3) years. A total of 3294 patients underwent early parathyroidectomy (8.2%). The weighted cumulative incidence of depression was 11% at 5 years and 18% at 10 years among patients who underwent parathyroidectomy, compared with 9% and 18%, respectively, among nonoperative patients. Those treated with early parathyroidectomy experienced no difference in the adjusted rate of new depression compared with nonoperative management (hazard ratio, 1.05; 95% CI, 0.94-1.17). There was also no estimated effect of early parathyroidectomy on new depression in subgroup analyses based on patient age or serum calcium. In this study, there was no difference in the incidence of new depression among adults with PHPT treated with early parathyroidectomy vs nonoperative management, which is relevant to preoperative discussions about the benefits and risks of operative treatment.

Evaluating TRAIL and IP-10 alterations in vaccinated pregnant women after COVID-19 diagnosis and their correlation with neutralizing antibodies.

This study evaluates tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) and interferon-γ-induced protein-10 (IP-10) in pregnant women with COVID-19 and their newborns, exploring the effects of antiviral treatments and vaccine-induced neutralizing antibody (Nab) inhibition on these key viral infection biomarkers. We studied 61 pregnant women with past COVID-19 and either three (n=56) or four (n=5) doses of vaccination, and 46 without COVID-19 but vaccinated. We analyzed them and their newborns' blood for TRAIL, IP-10, and Nab levels using enzyme-linked immunosorbent assays (ELISA), correlating these with other clinical factors. Our study found lower TRAIL but higher IP-10 levels in maternal blood than neonatal cord blood, irrespective of past COVID-19 diagnosis. Cases diagnosed with COVID-19 < 4 weeks previously had higher maternal blood TRAIL levels (16.49 vs. 40.81 pg/mL, p=0.0064) and IP-10 (154.68 vs. 225.81 pg/mL, p=0.0170) than those never diagnosed. Antiviral medication lowered TRAIL and IP-10 in maternal blood without affecting Nab inhibition (TRAIL: 19.24 vs. 54.53 pg/mL, p=0.028; IP-10: 158.36 vs. 255.47 pg/mL, p=0.0089). TRAIL and IP-10 levels were similar with three or four vaccine doses, but four doses increased Nab inhibition (p=0.0363). Previously COVID-19 exposed pregnant women had higher Nab inhibition (p < 0.0001). No obvious correlation was found among TRAIL, IP-10, and Nab inhibition level. Our study suggests that lower maternal TRAIL and higher IP-10 levels compared to neonatal cord blood coupled with a rise in both markers following COVID-19 diagnosis that could be reduced by antivirals indicates a correlation to infection severity. Higher vaccine doses enhance Nab inhibition, irrespective of antiviral medication use and independent of TRAIL or IP-10 levels, highlighting the significance and safety of adequate vaccination and antiviral use post-diagnosis in pregnant women.

Neuropsychological performance in women at risk of postpartum depression and postpartum psychosis.

While neuropsychological deficits are commonly observed in affective and psychotic disorders, this remains unexplored in these disorders when they occur during pregnancy and the postpartum period. A neuropsychological test battery was administered to women defined at risk of postpartum depression (PD, N = 53) because having either a current or past diagnosis of major depressive disorder, women at risk of postpartum psychosis (PP, N = 43) because of a diagnosis of bipolar disorder or schizoaffective disorder and/or a previous episode of PP and women not at risk (NR, N = 48) in the third trimester of pregnancy. Generalized and specific cognitive abilities were compared between groups. Women at risk of PP presented worse executive functions and processing speed compared to NR and worse performance compared to women at risk of PD across all cognitive domains. In addition, women at risk of PP who developed a psychiatric relapse in the first four weeks post-partum showed worse verbal learning and memory, visual memory, executive functions and processing speed in pregnancy compared to NR, whereas women at risk of PP who remained well presented neuropsychological performance that was intermediate between that of the women NR and those at risk of PP who developed symptoms. There were no differences in performance between women at risk of PD and the NR women, even if 31 women at risk of PD presented depressive symptoms at the time of cognitive assessment. Our findings in women at risk of PP align with neuropsychological findings in individuals with, or at risk of psychosis unrelated to pregnancy. In addition, initial evidence that women at risk of PP who develop a psychiatric relapse in the postpartum show a particularly poor neuropsychological performance in pregnancy suggests that this could be considered part of a phenotype for the disease and help guiding future preventive strategies in this clinical population. In women at risk of PD, the presence of depressive symptoms did not influence cognitive performance.

Early Detection of Pulmonary Embolism in a General Patient Population Immediately Upon Hospital Admission Using Machine Learning to Identify New, Unidentified Risk Factors: Model Development Study.

Under- or late identification of pulmonary embolism (PE)-a thrombosis of 1 or more pulmonary arteries that seriously threatens patients' lives-is a major challenge confronting modern medicine. We aimed to establish accurate and informative machine learning (ML) models to identify patients at high risk for PE as they are admitted to the hospital, before their initial clinical checkup, by using only the information in their medical records. We collected demographics, comorbidities, and medications data for 2568 patients with PE and 52,598 control patients. We focused on data available prior to emergency department admission, as these are the most universally accessible data. We trained an ML random forest algorithm to detect PE at the earliest possible time during a patient's hospitalization-at the time of his or her admission. We developed and applied 2 ML-based methods specifically to address the data imbalance between PE and non-PE patients, which causes misdiagnosis of PE. The resulting models predicted PE based on age, sex, BMI, past clinical PE events, chronic lung disease, past thrombotic events, and usage of anticoagulants, obtaining an 80% geometric mean value for the PE and non-PE classification accuracies. Although on hospital admission only 4% (1942/46,639) of the patients had a diagnosis of PE, we identified 2 clustering schemes comprising subgroups with more than 61% (705/1120 in clustering scheme 1; 427/701 and 340/549 in clustering scheme 2) positive patients for PE. One subgroup in the first clustering scheme included 36% (705/1942) of all patients with PE who were characterized by a definite past PE diagnosis, a 6-fold higher prevalence of deep vein thrombosis, and a 3-fold higher prevalence of pneumonia, compared with patients of the other subgroups in this scheme. In the second clustering scheme, 2 subgroups (1 of only men and 1 of only women) included patients who all had a past PE diagnosis and a relatively high prevalence of pneumonia, and a third subgroup included only those patients with a past diagnosis of pneumonia. This study established an ML tool for early diagnosis of PE almost immediately upon hospital admission. Despite the highly imbalanced scenario undermining accurate PE prediction and using information available only from the patient's medical history, our models were both accurate and informative, enabling the identification of patients already at high risk for PE upon hospital admission, even before the initial clinical checkup was performed. The fact that we did not restrict our patients to those at high risk for PE according to previously published scales (eg, Wells or revised Genova scores) enabled us to accurately assess the application of ML on raw medical data and identify new, previously unidentified risk factors for PE, such as previous pulmonary disease, in general populations.

Knowledge on Sexually Transmitted Infections and Dedicated Health Care Centers Among Italian Adults: Insights From a Nationwide Cross-Sectional Study.

Sexually transmitted infections (STI) are a global concern. In Italy, despite the presence of publicly funded STI diagnostic centers, limited attention has been given to the knowledge of these services among the adult population. This study primarily aimed to evaluate Italian adults' knowledge about STI and dedicated health care centers. Secondarily, it explored condom usage behaviors. Conducted nationwide, this cross-sectional study used an online questionnaire. The primary outcomes included knowledge of dedicated STI centers and scores on the Sexually Transmitted Disease Knowledge Questionnaire (STD-KQ); secondary outcomes included inconsistent condom usage rates during various forms of intercourse. With a participant count of 1036, results indicated that only 36% were aware of dedicated STI centers. The median STD-KQ score was 11 (interquartile range, 6-15). Multivariable regression models unveiled factors significantly associated with knowledge. Lesbian, gay, bisexual, transsexual, and queer (LGBTQ) individuals, health care workers, and those with higher STD-KQ scores exhibited greater STI centers' awareness. Better STD-KQ scores correlated with higher education levels, substance use, past STI diagnosis, and health care employment. Around 80% of the sample reported inconsistent condom use during different forms of intercourse. Although enhanced knowledge correlated with increased condom use, certain groups exhibited discrepancies between knowledge of STI and actual condom use. These findings emphasize the need for targeted awareness campaigns to enhance accessibility to STI centers, underscoring the necessity for multifaceted interventions beyond information dissemination to address suboptimal condom usage. In providing insights into STI knowledge and behaviors among Italian adults, this research informs interventions and policy adjustments to combat STI.

Childhood infections, asthma and allergy trajectories, and chronic rhinosinusitis in middle age: A prospective cohort study across six decades.

Evidence on the early life risk factors of adult CRS, and the history of asthma and allergies across the life course, is limited. To investigate relationships between respiratory infective/allergic conditions in childhood, and asthma and allergies across the life course and CRS in middle age. Data were from the population-based Tasmanian Longitudinal Health Study (TAHS) cohort, first studied in 1968 when aged 6-7 years (n = 8583) and serially followed into middle age (n = 3609). Using a well-accepted epidemiological definition, participants were assigned a CRS-severity subtype at age 53: no sinusitis/CRS (reference); past doctor diagnosis only; current symptoms without doctor diagnosis; and doctor-diagnosed CRS with current symptoms. Relationships with infective/allergic respiratory illnesses at age 7, and previously published asthma-allergy trajectories from 7 to 53 years, were examined using multinominal regression. In middle age, 5.8% reported current CRS symptoms with 2.5% doctor-diagnosed. Childhood conditions associated with symptomatic doctor-diagnosed CRS included frequent head colds (multinomial odds ratio [mOR] = 2.04 (95% confidence interval [95% CI]: 1.24, 3.37)), frequent tonsillitis (mOR = 1.61 [95% CI: 1.00, 2.59]) and current childhood asthma (mOR = 2.23 [95% CI: 1.25, 3.98]). Life course trajectories that featured late-onset or persistent asthma and allergies were associated with all CRS subtypes in middle age; early-onset persistent asthma and allergies (mOR = 6.74, 95% CI: 2.76, 16.4); late-onset asthma allergies (mOR = 15.9, 95% CI: 8.06, 31.4), and late-onset hayfever (mOR = 3.02, 95% CI: 1.51, 6.06) were associated with symptomatic doctor-diagnosed CRS. Current asthma, frequent head colds and tonsillitis at age 7 could signal a susceptible child who is at higher risk for CRS in mid-adult life and who might benefit from closer monitoring and/or proactive management. Concurrent asthma and allergies were strongly associated and are potential treatable traits of adult CRS.

KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy.

The aim of this project was to create time-aware, individual-level risk score models for adverse drug events related to multiple sclerosis disease-modifying therapy and to provide interpretable explanations for model prediction behavior. We used temporal sequences of observational medical outcomes partnership common data model (OMOP CDM) concepts derived from an electronic health record as model features. Each concept was assigned an embedding representation that was learned from a graph convolution network trained on a knowledge graph (KG) of OMOP concept relationships. Concept embeddings were fed into long short-term memory networks for 1-year adverse event prediction following drug exposure. Finally, we implemented a novel extension of the local interpretable model agnostic explanation (LIME) method, knowledge graph LIME (KG-LIME) to leverage the KG and explain individual predictions of each model. For a set of 4859 patients, we found that our model was effective at predicting 32 out of 56 adverse event types (P < .05) when compared to demographics and past diagnosis as variables. We also assessed discrimination in the form of area under the curve (AUC = 0.77 ± 0.15) and area under the precision-recall curve (AUC-PR = 0.31 ± 0.27) and assessed calibration in the form of Brier score (BS = 0.04 ± 0.04). Additionally, KG-LIME generated interpretable literature-validated lists of relevant medical concepts used for prediction. Many of our risk models demonstrated high calibration and discrimination for adverse event prediction. Furthermore, our novel KG-LIME method was able to utilize the knowledge graph to highlight concepts that were important to prediction. Future work will be required to further explore the temporal window of adverse event occurrence beyond the generic 1-year window used here, particularly for short-term inpatient adverse events and long-term severe adverse events.

The impact of past HIV interventions and diagnosis gaps on new HIV acquisitions, transmissions, and HIV-related deaths in Côte d'Ivoire, Mali, and Senegal.

To estimate the epidemiological impact of past HIV interventions and the magnitude and contribution of undiagnosed HIV among different risk groups on new HIV acquisitions in Côte d'Ivoire, Mali and Senegal. HIV transmission dynamic models among the overall population and key populations [female sex workers (FSW), their clients, and MSM]. Models were independently parameterized and calibrated for each set of country-specific demographic, behavioural, and epidemiological data. We estimated the fraction of new HIV infections over 2012-2021 averted by condom use and antiretroviral therapy (ART) uptake among key population and nonkey population, the direct and indirect contribution of specific groups to new infections [transmission population-attributable fraction (tPAF)] over 2012-2021 due to prevention gaps, and the distribution of undiagnosed PWH by risk group in January 2022 and their tPAF over 2022-2031. Condom use and ART may have averted 81-88% of new HIV infections over 2012-2021 across countries, mostly because of condom use by key population. The tPAF of all key populations combined over 2012-2021 varied between 27% (Côte d'Ivoire) and 79% (Senegal). Male key population (clients of FSW and MSM) contributed most to new infections (>60% in Mali and Senegal) owing to their higher HIV prevalence and larger prevention gaps. In 2022, men represented 56% of all PWH with an undiagnosed infection in Côte d'Ivoire (male key population = 15%), 46% in Mali (male key population = 23%), and 69% in Senegal (male key population = 55%). If HIV testing and ART initiation rates remain at current levels, 20% of new HIV infections could be due to undiagnosed key population PWH in Côte d'Ivoire over 2022-2031, 53% in Mali, and 65% in Senegal. Substantial HIV diagnosis gaps remain in Western Africa, especially among male key population. Addressing these gaps is key to impacting the HIV epidemics in the region and achieving the goal of ending AIDS by 2030.

Survivorship after Hodgkin lymphoma and the right to be forgotten.

The significantly improved survivorship in Hodgkin lymphoma is fraught with challenges, including persistent symptoms, secondary health complications, and socio-professional obstacles. This review highlights the need for comprehensive survivorship care plans that include detection of relapse, assessment of long-term side effects, screening for secondary cancers, psychological support, and assistance with socio-professional integration. Cardiovascular diseases, secondary malignancies and other associated risks remains an important problem related to the effective treatment of patients with Hodgkin lymphoma. Furthermore, fertility concerns and endocrine disorders remain prevalent issues posttreatment. An optimal evaluation of the risks before and after treatment is essential to reduce the impact of these side effects on quality of life. Addressing the socio-professional reintegration of survivors, the concept of the 'Right to be forgotten' emerges as a critical consideration. This principle seeks to eliminate discrimination against cancer survivors in accessing financial services and aims for legislative changes to ensure that past cancer diagnosis does not unfairly affect survivors' futures. Implementation of this 'Right to be forgotten' in the legislature, is currently underway in European countries. The focus of survivorship care has shifted towards the holistic management of these long-term outcomes. Quality of life for Hodgkin lymphoma survivors is affected by various treatment-related factors, with evidence suggesting that physical, psychological and socio-professional domains remain impacted years after treatment.

Active suicidal ideation associated with dysfunction in default mode network using resting-state EEG and functional MRI - Findings from the T-RAD Study

Suicide in youth and young adults is a serious public health problem. However, the biological mechanisms of suicidal ideation (SI) remain poorly understood. The primary goal of these analyses was to identify the connectome profile of suicidal ideation using resting state electroencephalography (EEG). We evaluated the neurocircuitry of SI in a sample of youths and young adults (aged 10–26 years, n = 111) with current or past diagnoses of either a depressive disorder or bipolar disorder who were enrolled in the Texas Resilience Against Depression Study (T-RAD). Neurocircuitry was analyzed using orthogonalized power envelope connectivity computed from resting state EEG. Suicidal ideation was assessed with the 3-item Suicidal Thoughts factor of the Concise Health Risk Tracking self-report scale. The statistical pipeline involved dimension reduction using principal component analysis, and the association of neuroimaging data with SI using regularized canonical correlation analysis. From the original 111 participants and the correlation matrix of 4950 EEG connectivity pairs in each band (alpha, beta, theta), dimension reduction generated 1305 EEG connectivity pairs in the theta band, 2337 EEG pairs in the alpha band, and 914 EEG connectivity pairs in the beta band. Overall, SI was consistently involved with dysfunction of the default mode network (DMN). This report provides preliminary evidence of DMN dysfunction associated with active suicidal ideation in adolescents. Using EEG using power envelopes to compute connectivity moves us closer to using neurocircuit dysfunction in the clinical setting to identify suicidal ideation.