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Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis

Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis

Online factored in comorbidity status. Yet, none had been thoroughly validated in older adult populations. The more recent PORTRET tool was designed to predict 5-year recurrence, overall mortality, and mortality from other causes in patients older than 65 years with early invasive breast cancer, as well as to estimate the benefits of adjuvant systemic treatment [26].

Pierre Heudel, Mashal Ahmed, Felix Renard, Arnaud Attye

JMIR Cancer 2025;11:e64000

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

Addressing these issues is critical for making digital integrated interventions more effective and widely applicable for diverse populations with different levels of comorbidity. Comorbid MDD and SUD vary widely in severity and affect individuals across diverse racial, ethnic, financial, and educational backgrounds. A main finding of our review was the considerable variation in inclusion and exclusion criteria across studies.

Geneva K Jonathan, Qiuzuo Guo, Heyli Arcese, A Eden Evins, Sabine Wilhelm

JMIR Ment Health 2025;12:e67670

Assessment of Health System Readiness and Quality of Dementia Services in Peru: Protocol for a Qualitative Study With Stakeholder Interviews and Documentation Review

Assessment of Health System Readiness and Quality of Dementia Services in Peru: Protocol for a Qualitative Study With Stakeholder Interviews and Documentation Review

People with dementia should also have at least one chronic comorbidity, such as hypertension, diabetes, depression, and anxiety, among others. Carers: people who are formal or informal carers, including family members that are responsible for taking care of the people with dementia. They need to have been with the people with dementia in the process of diagnosis and management and are self-recognized as carers of the people with dementia.

Maria Lazo-Porras, Francisco Jose Tateishi-Serruto, Christopher Butler, María Sofía Cuba-Fuentes, Daniela Rossini-Vilchez, Silvana Perez-Leon, Miriam Lúcar-Flores, J Jaime Miranda, Antonio Bernabe-Ortiz, Francisco Diez-Canseco, Graham Moore, Filipa Landeiro, Maria Kathia Cardenas, Juan Carlos Vera Tudela, Lee White, Rafael A Calvo, William Whiteley, Jemma Hawkins, IMPACT Salud Study Group

JMIR Res Protoc 2025;14:e60296

Interpreting the Influence of Using Blood Donor Residual Samples for SARS-CoV-2 Seroprevalence Studies in Japan: Cross-Sectional Survey Study

Interpreting the Influence of Using Blood Donor Residual Samples for SARS-CoV-2 Seroprevalence Studies in Japan: Cross-Sectional Survey Study

The definitions for COVID-19 vaccination, blood donation, and comorbidity are provided in Multimedia Appendix 1. A binary variable was created from medical history records to identify comorbidities that rendered participants ineligible for blood donation and medically unable to receive the COVID-19 vaccine (see Multimedia Appendix 2).

Ryo Kinoshita, Sho Miyamoto, Tadaki Suzuki, Motoi Suzuki, Daisuke Yoneoka

JMIR Public Health Surveill 2025;11:e60467

Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study

Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study

An alternative to the PS in this context is the disease risk score (DRS), also called a confounder score, prognostic score, comorbidity score, or simply a risk score [1-9]. A DRS can combine covariates into a single score that reflects their associations with the outcome. However, if it is feasible to make a DRS that adjusts appropriately for the relevant covariates, it can be similarly feasible and appropriate to simply adjust for the covariates individually without first combining them into a DRS [1].

Elizabeth AK Rowley, Patrick K Mitchell, Duck-Hye Yang, Ned Lewis, Brian E Dixon, Gabriela Vazquez-Benitez, William F Fadel, Inih J Essien, Allison L Naleway, Edward Stenehjem, Toan C Ong, Manjusha Gaglani, Karthik Natarajan, Peter Embi, Ryan E Wiegand, Ruth Link-Gelles, Mark W Tenforde, Bruce Fireman

JMIR Form Res 2025;9:e58981

mHealth-Augmented Care for Reducing Depression Symptom Severity Among Patients With Chronic Pain: Exploratory, Retrospective Cohort Study

mHealth-Augmented Care for Reducing Depression Symptom Severity Among Patients With Chronic Pain: Exploratory, Retrospective Cohort Study

Reference 2: Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Reference 9: Depression and pain comorbidity: A literature reviewcomorbidity

Dan Holley, Amanda Brooks, Matthew Hartz, Sudhir Rao, Thomas Zaubler

JMIR Mhealth Uhealth 2025;13:e52764

Supplemental Intervention for Alcohol Use Disorder Treatment Patients With a Co-Occurring Anxiety Disorder: Technical Development and Functional Testing of an Autonomous Digital Program

Supplemental Intervention for Alcohol Use Disorder Treatment Patients With a Co-Occurring Anxiety Disorder: Technical Development and Functional Testing of an Autonomous Digital Program

Epidemiological studies consistently find that individuals with alcohol use disorder (AUD) experience an anxiety disorder at approximately double the rate found in the general population (“comorbidity”) [1]. Lending clinical importance to this observation is the elevated risk for relapse following AUD treatment found in the large subgroup of comorbid AUD treatment patients [2,3].

Linda Marie Rinehart, Justin Anker, Amanda Unruh, Nikki Degeneffe, Paul Thuras, Amie Norden, Lilly Hartnett, Matt Kushner

JMIR Form Res 2024;9:e62995