Browsing by Subject "Psychiatric disorder"

Now showing 1 - 4 of 4
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    Cancer worry and its impact on self-reported depressive symptoms among adult males and females in the US: a nationwide sample study
    (Springer Nature, 2024-01-08) Mamudu, Lohuwa; Li, Jinyi; McEligot, Archana J.; Wood, Michele; Rusmevichientong, Pimbucha; Tetteh‑Bator, Erasmus; Soale, Abdul‑Nasah; Fortenberry, James D.; Williams, Faustine; Pediatrics, School of Medicine
    Objective: With cancer the second deadliest disease in the world, worry about cancer can have mental health or psychiatric implications. This study examines the prevalence, differences, and influence of cancer worry (CW), its interaction effect with age, and other confounders on self-reported depressive symptoms (SRDS) among adult males and females in the US. Methods: We utilized a nationally representative sample data of 2,950 individuals (males = 1,276; females = 1,674) from Cycle 4 of the Health Information National Trends Survey 5 (HINTS 5) 2020. Using frequencies, bivariate chi-square test, and multivariate logistic regression, we examined the prevalence, difference, and association of CW with SRDS, adjusting for confounders. Results: The prevalence rate of SRDS was found to be 32% among females and 23.5% among males. Among individuals with CW, females had a higher prevalence of SRDS compared to males (40.5% vs. 35.1%). However, there was a significant difference in the likelihood of experiencing SRDS between males and females with CW, with males having 84% increased risk compared to females. Across all age groups, the multivariate analysis of the relationship between CW and SRDS revealed that both males and females showed a significantly decreased likelihood of SRDS compared to those aged 18-34 years. However, males aged 35 years or older exhibited an even more pronounced decrease in likelihood compared to females in the same age group. Nonetheless, when examining the interaction of age and CW, we observed a significantly increased likelihood of SRDS across all age groups. Males, in particular, had a higher increased likelihood of SRDS compared to females across all ages, except for those aged 75 years and older. Conclusion: The findings of this study highlight the significant influence of CW on individuals' SRDS and the modifying effect of age, particularly among males. These results are important for a better understanding of the risk of CW on mental health, which can be a preventive strategy or control mechanism.
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    Development of an Automated Triage System for Longstanding Dizzy Patients Using Artificial Intelligence
    (Wiley, 2024-09-27) Romero-Brufau, Santiago; Macielak, Robert J.; Staab, Jeffrey P.; Eggers, Scott D. Z.; Driscoll, Colin L. W.; Shepard, Neil T.; Totten, Douglas J.; Albertson, Sabrina M.; Pasupathy, Kalyan S.; McCaslin, Devin L.; Otolaryngology -- Head and Neck Surgery, School of Medicine
    Objective: To report the first steps of a project to automate and optimize scheduling of multidisciplinary consultations for patients with longstanding dizziness utilizing artificial intelligence. Study design: Retrospective case review. Setting: Quaternary referral center. Methods: A previsit self-report questionnaire was developed to query patients about their complaints of longstanding dizziness. We convened an expert panel of clinicians to review diagnostic outcomes for 98 patients and used a consensus approach to retrospectively determine what would have been the ideal appointments based on the patient's final diagnoses. These results were then compared retrospectively to the actual patient schedules. From these data, a machine learning algorithm was trained and validated to automate the triage process. Results: Compared with the ideal itineraries determined retrospectively with our expert panel, visits scheduled by the triage clinicians showed a mean concordance of 70%, and our machine learning algorithm triage showed a mean concordance of 79%. Conclusion: Manual triage by clinicians for dizzy patients is a time-consuming and costly process. The formulated first-generation automated triage algorithm achieved similar results to clinicians when triaging dizzy patients using data obtained directly from an online previsit questionnaire.
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    Efficient region-based test strategy uncovers genetic risk factors for functional outcome in bipolar disorder
    (Elsevier, 2019-01-01) Budde, Monika; Friedrichs, Stefanie; Alliey-Rodriguez, Ney; Ament, Seth; Badner, Judith A.; Berrettini, Wade H.; Bloss, Cinnamon S.; Byerley, William; Cichon, Sven; Comes, Ashley L.; Coryell, William; Craig, David W.; Degenhardt, Franziska; Edenberg, Howard J.; Foroud, Tatiana; Forstner, Andreas J.; Frank, Josef; Gershon, Elliot S.; Goes, Fernando S.; Greenwood, Tiffany A.; Guo, Yiran; Hipolito, Maria; Hood, Leroy; Keating, Brendan J.; Koller, Daniel L.; Lawson, William B.; Liu, Chunyu; Mahon, Pamela B.; McInnis, Melvin G.; McMahon, Francis J.; Meier, Sandra M.; Mühleisen, Thomas W.; Murray, Sarah S.; Nievergelt, Caroline M.; Nurnberger, John I.; Nwulia, Evaristus A.; Potash, James B.; Quarless, Danjuma; Rice, John; Roach, Jared C.; Scheftner, William A.; Schork, Nicholas J.; Shekhtman, Tatyana; Shilling, Paul D.; Smith, Erin N.; Streit, Fabian; Strohmaier, Jana; Szelinger, Szabolcs; Treutlein, Jens; Witt, Stephanie H.; Zandi, Peter P.; Zhang, Peng; Zöllner, Sebastian; Bickeböller, Heike; Falkai, Peter G.; Kelsoe, John R.; Nöthen, Markus M.; Rietschel, Marcella; Schulze, Thomas G.; Malzahn, Dörthe; Biochemistry and Molecular Biology, School of Medicine
    Genome-wide association studies of case-control status have advanced the understanding of the genetic basis of psychiatric disorders. Further progress may be gained by increasing sample size but also by new analysis strategies that advance the exploitation of existing data, especially for clinically important quantitative phenotypes. The functionally-informed efficient region-based test strategy (FIERS) introduced herein uses prior knowledge on biological function and dependence of genotypes within a powerful statistical framework with improved sensitivity and specificity for detecting consistent genetic effects across studies. As proof of concept, FIERS was used for the first genome-wide single nucleotide polymorphism (SNP)-based investigation on bipolar disorder (BD) that focuses on an important aspect of disease course, the functional outcome. FIERS identified a significantly associated locus on chromosome 15 (hg38: chr15:48965004 – 49464789 bp) with consistent effect strength between two independent studies (GAIN/TGen: European Americans, BOMA: Germans; n = 1592 BD patients in total). Protective and risk haplotypes were found on the most strongly associated SNPs. They contain a CTCF binding site (rs586758); CTCF sites are known to regulate sets of genes within a chromatin domain. The rs586758 – rs2086256 – rs1904317 haplotype is located in the promoter flanking region of the COPS2 gene, close to microRNA4716, and the EID1, SHC4, DTWD1 genes as plausible biological candidates. While implication with BD is novel, COPS2, EID1, and SHC4 are known to be relevant for neuronal differentiation and function and DTWD1 for psychopharmacological side effects. The test strategy FIERS that enabled this discovery is equally applicable for tag SNPs and sequence data.
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    Psychiatric Co-Morbidities in Pregnant Women with Opioid Use Disorders: Prevalence, Impact, and Implications for Treatment
    (Springer, 2017) Arnaudo, Camila L.; Andraka-Christou, Barbara; Allgood, Kacy; Department of Psychiatry, IU School of Medicine
    Purpose of Review This review seeks to investigate three questions: What is the prevalence of comorbid psychiatric diagnoses among pregnant women with opioid use disorder (OUD)? How do comorbid psychiatric illnesses impact pregnant women with OUD? And how do comorbid psychiatric illnesses affect the ability of pregnant women with OUD to adhere to and complete OUD treatment? Recent Findings Based on this literature review, 25–33% of pregnant women with OUD have a psychiatric comorbidity, with depression and anxiety being especially common. However, of the 17 studies reviewed only 5 have prevalence rates of dual diagnosis in pregnant women with OUD as their primary outcome measures, their N’s were typically small, methods for determining psychiatric diagnosis were variable, and many of the studies were undertaken with women presenting for treatment which carries with its implicit selection bias. Of the women enrolled in treatment programs for SUD, those with psychiatric comorbidity were more likely to have impaired psychological and family/social functioning than those without psychiatric comorbidity. Greater severity of comorbid psychiatric illness appears to predict poorer adherence to treatment, but more research is needed to clarify this relationship with the psychiatric illness is less severe. Summary While cooccurrence of psychiatric disorders in pregnant women with opioid use disorder appears to be common, large population-based studies with validated diagnostic tools and longitudinal assessments are needed to obtain definitive rates and characteristics of cooccurring illnesses. Integrated prenatal, addiction, and psychiatric treatment in a setting that provides social support to pregnant patients with OUD is most effective in maintaining women in treatment. More research is still needed to identify optimal treatment settings, therapy modalities, and medication management for dually diagnosed pregnant women with OUD.