This retrospective chart review provides a profile of an emerging population of vulnerable HIV patients with complex comorbidities. Data were abstracted from all 87 patients admitted in 2008 to Casey House, a community-based hospital dedicated to supportive and palliative care for persons with HIV in Toronto, Canada. We describe patient characteristics, including medical and psychiatric conditions, and use a Venn diagram and case study to illustrate the frequency and reality of co-occurring conditions that contribute to the complexity of patients’ health and health care needs. The mean age at admission was 48.9 years (SD = 10.5). Eighty percent were male. Patients experienced a mean of 5.8 medical comorbidities (SD = 2.3) and 1.9 psychiatric disorders (lifetime axis I diagnoses). Forty-one patients (47%) experienced cognitive impairment including HIV-associated dementia. Patients were on a mean of 11.8 (SD = 5.3) medications at admission; 74% were on antiretroviral medications with 55% reporting full adherence. Current alcohol and drug use was common with 54% reporting active use at admission. Our Venn diagram illustrates the breadth of complexity in the clients with 9% of clients living in unstable housing with three or more medical comorbidites and two or more psychiatric diagnoses. Comprehensive HIV program planning should include interventions that can flexibly adapt to meet the multidimensional and complex needs of this segment of patients. Researchers, policymakers and clinicians need to have greater awareness of overlapping medical, psychiatric and psychosocial comorbidities. Inclusion of the needs of these most vulnerable patients in the development of evidence based guidelines is an important step for effectively treating, preventing and planning for the future of HIV/AIDS care.
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http://dx.doi.org/10.1080/09540121.2012.754979 | DOI Listing |
AIDS Care
January 2025
Department of Behavioral, Social, and Health Education Sciences, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Violence experience, interpersonal and community-level, is commonly reported by people living with HIV (PLWH). Understanding the impact of the various forms of violence on HIV outcomes is critical for prioritizing violence screening and support resources in care settings. From February 2021 to December 2022, among 285 PLWH purposively sampled to attain diversity by gender, race/ethnicity, and HIV care retention status in Atlanta, Georgia, we examined interpersonal and community violence experiences and proxy measures of violence (post-traumatic stress disorder (PTSD), anxiety, depression) and their associations with HIV outcomes (engagement and retention in care and HIV viral suppression) using multivariable analysis.
View Article and Find Full Text PDFSports Health
January 2025
Department of Orthopaedic Surgery, Hackensack Meridian Health, Hackensack, New Jersey.
Background: The elderly US population is growing quickly and staying active longer. However, there is limited information on sports-related injuries in older adults.
Hypotheses: (1) National estimate and incidence of sports-related orthopaedic injuries in the US elderly population have increased over the last 10 years, (2) types and causes of sports-related injuries in the elderly have changed, and (3) elderly sports-related injuries will increase more than the number of treating physicians by 2040.
JMIR Public Health Surveill
January 2025
School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.
Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.
JMIR Med Inform
January 2025
INSERM U1064, CR2TI - Center for Research in Transplantation and Translational Immunology, Nantes University, 30 Bd Jean Monnet, Nantes, 44093, France, 33 2 40 08 74 10.
Precision medicine involves a paradigm shift toward personalized data-driven clinical decisions. The concept of a medical "digital twin" has recently become popular to designate digital representations of patients as a support for a wide range of data science applications. However, the concept is ambiguous when it comes to practical implementations.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Background: Many tools have been developed to predict the risk of diabetes in a population without diabetes; however, these tools have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, and low sensitivity or specificity.
Objective: We aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population.
Methods: We collected the data from the NAGALA (NAfld [nonalcoholic fatty liver disease] in the Gifu Area, Longitudinal Analysis) database.
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