Trump administration says it’s deferring $1B in Medicaid payments to California and Minnesota

The Trump administration on Tuesday said it was deferring more than $1 billion in Medicaid payments to Minnesota and California because of “suspected fraud and noncompliance,” the latest in a series of punitive steps it has linked to allegations of fraud in mostly Democratic-led states.

Health Secretary Robert F. Kennedy Jr. said the new actions — which come after previously announced Medicaid funding deferrals in those states — are part of the administration’s strategy to “stop the fraud before it happens” rather than claw back problematic spending after bad actors are prosecuted, as previous administrations had done.

Read the rest…

Development of a User-Informed Decision Aid for Contraceptive Decision-Making Among Adolescents and Young Adults: Qualitative Study

Background: Adolescents and young adults seeking contraceptive care face many considerations related to differences in contraceptive indications and knowledge, which are often overlooked and can lead to contraceptive nonadherence or nonuse as well as adverse health outcomes. Objective: This study aimed to develop a digital decision aid that meets the contraceptive decisional needs of adolescents and young adults from diverse backgrounds. Methods: We developed a web-based decision aid using a user-centered design framework and the International Patient Decision Aid Standards. The design and development process was informed by a literature review and consultations with scientific experts, health informatics specialists, clinicians experienced in adolescent reproductive health, and a diverse group of adolescent and young adult advisors. We gathered feedback on the decision aid’s content and functionality from clinicians, adolescents, and young adult stakeholders during focus group interviews conducted across 2 user testing cycles. Each focus group was recorded and transcribed, and the data were analyzed using a focus group guide to identify key attributes, patterns, and perspectives among users. Two qualitative researchers used rapid qualitative analysis to explore and summarize findings across 4 key domains, which contributed to the refinement of the decision aid content and the improvement of its functionality. Results: Twenty-four clinicians, adolescents, and young adult participants from diverse backgrounds shared their perspectives on the decision aid’s content, relevance, design, and usability across 2 user testing cycles conducted from February 2023 to June 2024. The decision aid includes a survey, a decision algorithm that generates a summary of contraceptive method recommendations, infographics, and a health care provider summary view. The decision algorithm applies a weighted scoring system ranging from +1 or −1 to +10 or −10 for each method, reflecting the user’s primary indication for seeking contraception, contraceptive use preferences, and relevant health history. Conclusions: This approach allowed us to capture rich perspectives from a diverse group of stakeholders that accounted for the unique contraceptive decision-making needs of adolescents and young adults, resulting in a functional, youth-informed decision aid prototype, <i>MyPlanMyChoice</i>, ready for pilot and feasibility evaluation in a clinical setting.

Deprexis for Veteran Depression: Open-Label Pilot Trial Examining Feasibility, Acceptability, and Preliminary Efficacy

Background: Depression carries the highest burden of mental health–related disability in the United States. Approximately 13% of military veterans report elevated rates of depression. Despite the availability of evidence-based treatments for depression, nearly 50% of veterans in need of mental health care remain untreated. Internet-based interventions show promise in reducing this gap; however, there are currently no standard self-guided internet-based interventions for depressive symptoms in veterans. Deprexis is one such intervention that leverages cognitive behavioral therapy to target depressive symptoms. Objective: This pilot study evaluated the feasibility, acceptability, and preliminary effectiveness of Deprexis, a fully self-guided internet-based intervention for depression, in US military veterans with mild to severe depressive symptoms. Methods: This open-label pilot trial recruited 19 veterans with mild to severe depression (mean age 55.5, SD 8.2 y; baseline Quick Inventory of Depressive Symptomatology—Self-Report [QIDS-SR]: mean 16.2, SD 4.1) for an 8-week course of Deprexis, with self-report assessments at baseline, posttreatment (8 wk), and follow-up (16 wk). Primary outcomes included depressive symptoms (QIDS-SR), functional disability (World Health Organization Disability Assessment Schedule 2.0), and symptom-related disability (Sheehan Disability Scale). Feasibility was assessed through recruitment and retention rates, and acceptability was measured using validated questionnaires (Credibility and Expectancy Questionnaire and Client Satisfaction Questionnaire). Multilevel models examined change over time, with effect sizes calculated using pooled SDs from unconditional models. Results: Recruitment and retention targets were met, with 15 out of 19 (79%) participants meeting the adherence criteria (ie, ≥60 min of active program use). Of these, 14 participants completed posttreatment questionnaires and were included in the completer analyses. The program received a positive acceptability rating: of the 18 participants who completed follow-up assessments, 78% (n=14) rated services as good or excellent and 72% (n=13) were satisfied with the amount of help received. No safety concerns were reported. Among completers (n=14), QIDS-SR scores decreased from baseline to posttreatment (estimate −2.22, SE 1.44; =.14; =−0.54, 95% CI −1.07 to 0.13) and follow-up (estimate −2.85, SE 1.19; =.02; =−0.70, 95% CI −1.21 to −0.08) with moderate-to-large effect sizes. Effect sizes were similar in the total sample. Functioning (World Health Organization Disability Assessment Schedule 2.0) improved among completers at follow-up (estimate −8.09, SE 3.80; =.045; =−0.41, 95% CI −0.96 to −0.05). Disability (Sheehan Disability Scale) did not significantly improve from baseline to posttreatment or follow-up. Conclusions: This pilot trial demonstrates that Deprexis is feasible and acceptable for veterans with mild to severe depression, with preliminary evidence of effectiveness for depressive symptoms. The delayed emergence of functional improvements and sustained gains at follow-up support the potential of this scalable intervention. The results provide a strong foundation for the ongoing randomized controlled trial. Trial Registration: ClinicalTrials.gov NCT06217198; https://clinicaltrials.gov/study/NCT06217198 International Registered Report Identifier (IRRID): RR2-10.2196/59119
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/70826d4d70665042dcb7552593cb44c1" />

Spinal Cord Injury Stem Cell Transplant Clears Phase I, Improves Motor Scores

Researchers from Keio University School of Medicine and Keio University Regenerative Medicine Research Center in Japan transplanted neural stem/progenitor cells derived from induced pluripotent stem cells (iPSCs) into the injured spinal cords of four men with recent, complete cervical spinal cord injuries. The first-in-human Phase I study, published in Nature Medicine, primarily evaluated safety, following participants for up to four years after treatment.

Spinal cord injury affects more than 20 million people worldwide and often results in permanent paralysis because the adult spinal cord has only limited capacity to regenerate. Current treatments—including surgery and rehabilitation—can stabilize the injury and maximize remaining function but cannot rebuild the damaged neural circuits responsible for movement and sensation.

The transplanted cells were manufactured from clinical-grade iPSCs under strict quality controls before being differentiated into neural stem/progenitor cells. Approximately two million cells were injected directly into each patient’s spinal cord injury site two to four weeks after injury while patients received temporary immunosuppressive therapy to reduce the risk of rejection.

The trial met its primary objective. Researchers observed no tumor formation, abnormal cell growth, or other serious complications attributable to the transplanted cells during the initial 52-week study period or the subsequent long-term follow-up. Imaging studies likewise revealed no evidence of graft-related abnormalities, addressing one of the field’s greatest concerns regarding therapies derived from pluripotent stem cells.

Although safety was the principal endpoint, investigators also tracked neurological recovery. All four participants showed improvements in motor function, and two improved enough to advance from complete paralysis (American Spinal Injury Association Impairment Scale grade A) to grades C or D, indicating recovery of some voluntary movement below the injury level. Median motor scores improved by 13 points after one year, exceeding the recovery typically observed in a comparable historical patient registry, although the researchers caution that the small, uncontrolled study cannot establish that the stem cell treatment caused these gains.

The encouraging results build on years of preclinical research showing that transplanted neural stem cells can differentiate into neurons and supporting cells, promote remyelination, stimulate regrowth of damaged nerve fibers, and release molecules that support tissue repair. Animal studies have also suggested that the transplanted neurons can integrate into existing spinal cord circuits, although such integration cannot yet be directly confirmed in patients.

The investigators emphasize that many questions remain before the therapy could become a standard treatment. The study enrolled only four participants, lacked a placebo control, and included only men with recent cervical spinal cord injuries. Larger randomized clinical trials will be needed to determine whether the treatment consistently improves neurological recovery and to identify which patients are most likely to benefit. Researchers also plan to continue monitoring participants to assess the long-term safety of the transplanted cells.

Even with those caveats, the findings represent a significant advance for regenerative medicine. Rather than demonstrating a cure for paralysis, the study establishes that carefully manufactured iPSC-derived neural stem cells can be transplanted into the human spinal cord without the serious safety issues that have long challenged the field. That achievement provides a critical foundation for the next generation of clinical trials aimed at determining whether stem cell therapy can ultimately restore function after devastating spinal cord injuries.

The post Spinal Cord Injury Stem Cell Transplant Clears Phase I, Improves Motor Scores appeared first on Inside Precision Medicine.

Pregnancy Complications Increase the Risk of Peripheral Artery Disease

Having a common birth complication such as preterm birth, preeclampsia, high blood pressure and gestational diabetes puts women at increased risk of developing peripheral artery disease in later life.

As reported in PLOS Medicine, all five of the common complications listed were associated with an increased risk for peripheral artery disease, a form of atherosclerosis in the legs, up to 46 years after giving birth in a large Swedish study.

Overall, women with gestational diabetes had almost four-times higher risk of developing peripheral artery disease than women who had a healthy pregnancy with preeclampsia, high maternal blood pressure, preterm birth or small for gestational age babies increasing risk 1.3–1.7-fold.

“Peripheral artery disease affects more than 230 million people worldwide and is a strong predictor of future stroke, ischemic heart disease, and premature mortality,” write Casey Crump, MD, PhD, an epidemiologist and family physician at McGovern Medical School, and colleagues.

“Despite its high prevalence and clinical importance, it is understudied compared with other cardiovascular diseases.”

Pregnancy complications such as gestational diabetes and preeclampsia are known to increase the risk of other types of cardiovascular disease so Crump and team carried out a study to assess if this was also the case for peripheral artery disease.

The team drew on Swedish national birth and health registries to follow more than 2.2 million women who had single‑baby pregnancies between 1973 and 2015. They focused on the five common birth complications and tracked new diagnoses of peripheral artery disease from hospital, specialist clinic, and primary care records for up to 46 years after childbirth.

The researchers compared women with and without these complications while accounting for age, education, income, smoking, weight, and existing conditions like hypertension or diabetes. The also compared sisters to check whether shared genes or family lifestyle could fully explain the patterns they saw.

Overall, 13,211 women developed peripheral artery disease, mostly in their early 60s. All the complications were linked to higher risk of arterial disease, with the association becoming stronger with age. Experiencing more than one complication also increased risk further and women with three or more had around three times higher risk of peripheral artery disease in later life than women with none. The research also showed links were not likely to be genetic or related to a shared upbringing.

“Women who experience an adverse pregnancy outcome need early preventive actions and long-term clinical follow-up to reduce their risk for peripheral artery disease and other associated cardiovascular diseases,” write the authors.

The post Pregnancy Complications Increase the Risk of Peripheral Artery Disease appeared first on Inside Precision Medicine.

Click Chemistry Boosts Antibody–Drug Conjugates Against Heterogeneous Tumors

Antibody–drug conjugates (ADCs) have transformed cancer treatment by delivering potent cytotoxic drugs directly to tumor cells. But because each ADC recognizes only a single molecular target, many cancers become difficult to treat as tumors evolve into a patchwork of cells with different biological characteristics. A preclinical study published in Nature describes a modular strategy that enables existing antibodies and ADCs to assemble inside the body, allowing them to engage multiple tumor targets without creating entirely new drugs.

Researchers at Washington University School of Medicine modified FDA-approved antibodies and HER2-directed ADCs with complementary chemical groups that bond together through bioorthogonal “click chemistry” after sequential administration. The resulting complexes produced stronger antitumor activity than conventional ADC therapy in mouse models of pancreatic, gastric, and breast cancer.

The work addresses a longstanding obstacle for ADCs: they are most effective when nearly every tumor cell displays the same molecular target.

“Strategies that enhance ADC delivery to the tumor without requiring uniformly high antigen expression are needed to address heterogeneous and treatment-resistant tumors,” the authors write.

To test that concept, the researchers paired HER2-directed ADCs with antibodies targeting either HER2 or EGFR, a receptor frequently associated with treatment resistance. Because the molecules assemble after entering the circulation, the approach offers a modular alternative to engineering entirely new bispecific antibodies.

The strategy proved particularly effective in cancers with low, ultralow, negative, or heterogeneous HER2 expression, expanding activity into tumors that often respond poorly to existing HER2-targeted therapies.

“This strategy enabled targeted delivery of HER2-directed ADCs… to EGFR-high or EGFR-low cancer cells across the spectrum of HER2 expression,” the authors conclude.

The improved targeting translated into substantially better outcomes in the pancreatic cancer model. About 90% of treated mice survived for 120 days, whereas animals receiving conventional ADC therapy survived less than 80 days on average. The researchers also optimized the platform to reduce off-target drug accumulation in the liver, an important consideration for limiting toxicity.

Rather than relying exclusively on one receptor to deliver therapy, the system can exploit interactions between multiple tumor-associated receptors to improve drug uptake.

“The therapeutic benefit probably reflects a combination of bioorthogonal chemistry-driven ligation and tumor receptor biology rather than exclusively receptor colocalized assembly,” the authors write.

The click chemistry platform also may accelerate development of precision therapies. The linking molecules can be manufactured in as little as one to three days, making it possible to rapidly pair different clinically approved antibodies and ADCs for individual tumor profiles. Although demonstrated using HER2-targeted therapies, the researchers say the modular approach could be adapted to many receptor combinations and cancer types. They are particularly interested in applying the technology to difficult-to-treat tumors such as brain cancers, where improving drug delivery remains a major challenge.

“Beyond direct cytotoxic delivery, the modular customization of this approach offers potential for immune modulation, diagnostic imaging and combinatorial payload strategies,” the authors conclude. “As such, this approach provides a flexible foundation for the optimization of antibody-based therapeutics in oncology and other diseases.”

The post Click Chemistry Boosts Antibody–Drug Conjugates Against Heterogeneous Tumors appeared first on Inside Precision Medicine.

STAT+: Rare disease drugmakers try to avoid Trump price cuts

You’re reading the web edition of D.C. Diagnosis, STAT’s twice-weekly newsletter about the politics and policy of health and medicine. Sign up here to receive it in your inbox on Tuesdays and Thursdays.

“You best step back before I bust a smack, yak!” That’s not what RFK Jr. said before fending off a shaggy beast with a phone thump to the nose, but it would’ve been cooler if he did. Send news tips and missed opportunities to John.Wilkerson@statnews.com or John_Wilkerson.07 on Signal.

Messaging wars: affordability vs. fraud

Rising out-of-pocket health care costs remain voters’ top health priority overall, but Republicans are more worried about fraud in government health programs, according to a KFF poll.

Continue to STAT+ to read the full story…

Developing a Text Messaging Intervention to Increase Uptake of the Screening and Treatment for Anxiety and Depression Program Among Community College Students: Formative Study Using a Human-Centered Design Approach

Background: Community college (CC) students face significant mental health concerns but are unlikely to receive treatment. Barriers to mental health service uptake among CC students have been delineated, but few studies have identified strategies to improve uptake. Text messaging has been used to address engagement barriers to mental health services among adolescents and adults, but little research has explored this strategy for CC students. Objective: The goal of this study was to partner with CC students to co-design and conduct pilot usability testing of a text messaging intervention to address barriers and increase uptake of a mental health screening and treatment program, called Screening and Treatment for Anxiety and Depression (STAND), offered to CC students. Methods: We conducted 2 parallel sets of 4 co-design focus groups with CC students who had varying levels of engagement with STAND. We used rapid qualitative analysis to extract key themes, create text message prototypes and refine them, and present updated prototypes to gather feedback across workshops. We also assessed six usability factors on a 5-point Likert scale: satisfaction, helpfulness, attractiveness, readability, comprehension, and likelihood of getting started with STAND after receiving texts. Results: Key themes emerged about perceptions of texting, barriers to STAND, a basic framework for the text message intervention, feedback about the format of messages, and feedback about the content of messages. Students expressed positive regard for text messaging and general agreement on key barriers to STAND. Students codeveloped a framework for the intervention, including (1) delivering introductory texts to engage students in the text messages, (2) providing a personalized approach for students to select barriers most salient for them, and (3) delivering tailored content designed by students to address each barrier. Across workshops, several themes emerged with regard to how messages should be formatted and delivered, including the following: use short messages; use not too many messages; use relevant language; use images, memes, and short videos; and make messages “human-like.” Themes related to the content of messages included the following: reminders that you are not alone, knowledge that STAND has worked for other students, expressing understanding of student context and stressors, and providing an option to speak to a team member. Mean ratings on usability factors ranged from 3.88 (SD 0.64) to 4.25 (SD 0.46). Conclusions: This study describes a process for co-designing a text messaging mental health engagement intervention with CC students that is grounded in a human-centered design approach. Further research is needed to rigorously test this intervention and make iterative refinements to improve response and effectiveness.
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/8205377cceae781ec5169b5fbc0a42cc" />

Exploring the Relationship Between Parental Trauma, Parenting Style, and Children’s Medical Treatment Adherence: Cross-Sectional Study

Background: Medication adherence is defined as the degree to which the medications taken reflect the prescribed intention and is influenced by various factors. Different factors, such as parental trauma or parenting style, may influence their child or children’s medical treatment adherence. Authoritative, or “flexible,” parenting is known to develop the most nurturing relationship between parent and child or children. The relationship between parental factors, such as parenting style and trauma level, and their influence on child medication adherence is being explored. Objective: This study examines the relationship between parental trauma, parenting style, and their child or children’s adherence to medical recommendations. Methods: Participants were recruited through Amazon’s Mechanical Turk, an online crowdsourcing platform. Participants were aged 18 years or older, a caregiver for at least 1 child younger than the age of 18 years, and had at least 1 child who was prescribed medication within the past 3 months. Parental trauma level was measured via the Adverse Childhood Experiences Questionnaire, and parenting style was measured via the Parental Authority Questionnaire–Revised. Descriptive statistics, including chi-square tests, 2-tailed tests, and adjusted logistic regressions, were used to determine the association between parental trauma, parenting style, and their child or children’s medical adherence. Results: A total of 720 participant responses were analyzed. Children who were medically adherent were younger (=.02). Caregivers’ mean age was 36.8 (SD 7.97) years, and 35.4% (n=255) identified as male. An increase in caregivers’ adverse childhood experiences score was marginally associated with an increased risk of medication nonadherence among their children (adjusted odds ratio 0.94; =.07). Conclusions: Similar to other studies, this study showed that parents of children who adhere to medical treatment practice an authoritative parenting style. Uniquely, it also showed that an increased adverse childhood experiences score was only marginally associated with an increased risk of medical nonadherence.
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/245de1459c57e78c7ed7d9bfb1220884" />

Optimizing Treatment Strategies in the Bipolar Disorder Spectrum With Classical AI Approaches: Systematic Review of Performance, Bias, and Clinical Applicability

Background: Bipolar disorder (BD) is a complex and heterogeneous psychiatric condition, characterized by fluctuating clinical courses that affect approximately 1%‐2% of the global population in their lifetime. Despite pharmacological advances, treatment response varies significantly among patients, making the identification of individualized treatment strategies a major challenge. Artificial Intelligence (AI), through its classical approaches, has emerged as a powerful tool in precision psychiatry to identify subtle patterns in complex data and inform personalized clinical decisions. Objective: The present systematic review aimed to examine the current evidence on classical AI-supported treatment optimization in the BD spectrum. Methods: The review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines. Four databases (PubMed, Web of Science, Scopus, and Embase) were searched for original studies published after 2015 on the application of classical AI in the treatment of BD in adult patients. Publication bias was evaluated by visual inspection of a funnel plot. The methodological quality, risk of bias, and clinical applicability of the predictive models were assessed using the Prediction Model Risk Of Bias Assessment Tool for prediction models using regression or AI methods (PROBAST+AI; PROBAST+AI Working Group) tool. Results: A total of 35 studies were included and classified into 5 outcome-based categories, including acute symptomatic response, long-term maintenance response, relapse and readmission risk, safety and dose optimization, and brain aging and phenotyping. Acute symptomatic response models performed modestly (pooled area under the curve [AUC] 0.68), while imaging improved accuracy (74%‐77%). Long-term maintenance response models showed moderate-to-high performance (pooled AUC 0.80), with biomarker- and cellular-based models reaching 96%‐99% accuracy. Relapse and readmission prediction achieved a pooled AUC of 0.71, with digital phenotyping and rule-based methods performing best (AUC 0.85‐0.88). Safety and dose optimization models achieved 85%‐97% accuracy. Brain aging and phenotyping studies highlighted accelerated brain aging in BD, partially mitigated by lithium, and revealed novel data-driven subgroups. However, 3 studies were considered at high risk of bias due to small sample sizes associated with disproportionately high-performance estimates. An additional study was identified as potentially biased because it lay markedly distant from the funnel plot’s confidence line. Finally, the PROBAST+AI assessment revealed a high risk of bias in most studies, primarily due to data analysis limitations, small sample sizes, and lack of external validation. Conclusions: The adoption of classical AI tools in BD serves as a driver for therapeutic optimization, although current AI tools in BD should still be considered exploratory rather than ready for clinical use. Effective implementation in real-world clinical scenarios requires more robust, transparent, and externally validated models to ensure reliability and generalizability.
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/df358c951a2c44fbd20077fdda306baf" />