The patterns of relapse and abstinence: using machine learning to identify a multidimensional signature of long-term outcome after inpatient alcohol withdrawal treatment

AimsA machine learning approach to identify a multidimensional signature associated with relapse and long-term outcome in alcohol dependence treatment.DesignIn this observational naturalistic study, inpatients with alcohol dependence received qualified detoxification plus CBT (Cognitive Behavioral Therapy) and were followed up 6-months after discharge to assess abstinence and drinking behavior. Cross-validated multivariate sparse partial least squares analysis (SPLS) was used to investigate the relationship between clinical features and four long-term outcome variables.SettingGermany.Participants152 patients (on average 47.8 years old, 72% male) with alcohol dependence, who received inpatient qualified detoxification plus CBT.Measurements35 clinical features were used to cover all three phases of inpatient treatment (pre-, within-, post-treatment). Among these, sociodemographic characteristics, ICD-10 psychiatric diagnoses, previous detoxification treatments, and somatic measurements as well as inpatient treatment setting such as withdrawal medication, liver ultrasound, further information about the patients´ stay, and post-inpatient care were assessed. The four outcome dimensions included: continuous abstinence, abstinence at follow up, daily alcohol consumption, and days of abstinence after discharge.FindingsSix months after withdrawal treatment 46% of the patients achieved continuous abstinence. Socioeconomic, clinical and somatic features across the treatment timeline were analyzed and summarized into a multivariate signature associated with long-term treatment outcome. Thereby, the SPLS algorithm identified regular completion of withdrawal treatment, higher education, and employment status to be most strongly associated with a positive outcome. Alcohol-related hepatic and hematopoietic damage, number of previous withdrawal treatments and living in a shelter were most profoundly associated with a negative outcome.ConclusionConceiving treatment outcome as a multidimensional signature and moving beyond simple binary classifications of relapse versus abstinence may improve the understanding of relapse pathways and support more individualized treatment strategies.

Two faces of police stress: Spanish validation of operational and organizational PSQ scales

IntroductionPolice officers face multiple psychosocial risks stemming from operational and organizational aspects of their work. The Police Stress Questionnaire (PSQ) includes operational (PSQ-Op) and organizational (PSQ-Org) versions to assess these stressors. This study aimed to validate both versions in a sample of Mossos d’Esquadra, examining their factorial structure, reliability, and convergent and discriminant validity.MethodsExploratory and confirmatory factor analyses were conducted to examine the internal structure of the PSQ-Op and PSQ-Org. Internal consistency was evaluated using reliability indices. Convergent and discriminant validity were assessed through correlations with measures of anxiety, depression, and coping strategies.ResultsBoth PSQ-Op and PSQ-Org showed an essentially unidimensional structure, indicating that each scale measures a coherent latent construct. Operational and organizational stress remained distinct domains. Both scales exhibited high reliability and adequate psychometric properties. Subtle gender differences were noted in the perception of specific stressors.DiscussionThese findings support the validity and reliability of the PSQ-Op and PSQ-Org for assessing psychosocial risks among Spanish police officers. The scales can inform interventions targeting workplace stress prevention and the promotion of organizational well-being, emphasizing the need to address operational and organizational stressors separately.

Psychometric validation of the revised Chinese version of the Dimensional Anhedonia Rating Scale in psychiatric outpatients

ObjectiveTo refine the Chinese version of the Dimensional Anhedonia Rating Scale (DARS) and evaluate the psychometric properties of the Revised Chinese DARS (RC-DARS) in a large sample of first-visit psychiatric outpatients.MethodsThe study was conducted in two sequential phases at a specialized psychiatric hospital. In Phase I (n = 277), the existing Chinese DARS underwent semantic and cultural refinement in accordance with ISPOR and TRAPD guidelines, incorporating cognitive interviews and back-translation procedures. In Phase II (n = 788), the RC-DARS was administered alongside the Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), Pittsburgh Sleep Quality Index (PSQI), and the MMPI Suicide Ideation Subscale (MMPI-SI). Exploratory and confirmatory factor analyses were conducted using common-factor extraction and the WLSMV estimator for ordinal indicators. Internal consistency, gender-based measurement invariance, and convergent validity were evaluated.ResultsExploratory analyses supported a four-factor domain structure. Confirmatory factor analysis demonstrated good model fit for the domain-based model (χ²/df = 3.81, CFI = 0.98, TLI = 0.97, RMSEA = 0.08, SRMR = 0.05), with substantially superior fit relative to an alternative reward-processing model. Internal consistency was excellent (Cronbach’s α = 0.95; McDonald’s ω = 0.96). Multi-group analyses supported configural, metric, and scalar invariance across gender (ΔCFI < 0.01). RC-DARS total scores were significantly negatively correlated with depressive symptoms (r = −0.443), anxiety (r = −0.317), sleep disturbance (r = −0.494), and suicide risk (r = −0.312) (all p <.001). Individuals with severe depressive symptoms exhibited significantly lower RC-DARS scores than those below the clinical threshold.ConclusionsThe RC-DARS demonstrates robust psychometric properties in a first-visit outpatient sample. The revision primarily enhances semantic precision and structural differentiation without materially altering score distributions. The scale may serve as a refined instrument for dimensional assessment of anhedonia in similar clinical contexts, pending longitudinal and multi-site validation.

Stem Cell Editing Programs the Immune System to Make Own Therapeutic Proteins

For pathogens like HIV, malaria, and rapidly evolving influenza strains, coaxing the immune system to produce the rare, highly potent antibodies needed for protection has long been a scientific bottleneck. Vaccines can train B cells to evolve such broadly neutralizing antibodies, but only under ideal conditions—and only in a small fraction of people. Even attempts to genetically edit mature B cells produced responses that faded as the cells died out.

A team at the Rockefeller University has now taken a more upstream approach: programming hematopoietic stem and progenitor cells (HSPCs)—the source of all B lymphocytes—to carry permanent genetic instructions for therapeutic antibodies or other proteins. Because the immune system naturally amplifies rare, useful cells after vaccination, even a tiny number of edited stem cells can seed a durable, boostable immune response.

“The immune system is inefficient in that it produces a vast quantity of cells to protect itself,” said Harald Hartweger, a research assistant professor in Michel Nussenzweig’s Laboratory of Molecular Immunology. “We wanted to take advantage of the immune system’s ability to amplify useful, rare cells.”

The study, published in Science and titled “B lymphocyte protein factories produced by hematopoietic stem cell gene editing,” demonstrates that CRISPR‑edited HSPCs can mature into B cells that express engineered antibodies upon vaccination. A standard vaccination then acts as the trigger: antigen exposure drives those edited B cells to expand, differentiate into plasma cells, and secrete high titers of the inserted antibody that last long-term.

According to the paper, as few as ~7,000 edited HSPCs were enough to generate “high titers of long‑lasting protective or therapeutic antibodies and/or cargo proteins.” In mice engineered to produce a broadly neutralizing influenza antibody, this response was strong enough to protect against an otherwise lethal viral infection.

The platform proved unexpectedly versatile. Edited B cells could also secrete non‑antibody proteins, pointing to potential applications in genetic diseases. And by mixing HSPCs engineered with different antibody instructions, the researchers created immune systems capable of producing multiple antibodies simultaneously, an approach that could limit viral escape in HIV or other rapidly mutating pathogens. Human HSPCs edited using the same strategy produced functional human B cells in an immunodeficient mouse model, offering an early sign of translational feasibility.

“Our goal is to permanently impact the genome with a single injection, so that the body can make proteins of interest,” Hartweger said. “That protein could be an antibody that’s universally protective against HIV or influenza, but it could also be any therapeutic protein.”

The team is now moving toward preclinical testing in non‑human primates to evaluate protection against HIV and exploring whether similar strategies could be applied to T cells. The broader vision is a generalizable, long‑term protein‑production platform, one that could support treatments for infectious disease, protein deficiencies, autoimmunity, metabolic disorders, and cancer, according to Hartweger.

As Nussenzweig puts it, “The present study proposes a workaround for the antibody problem—a way of getting around the possibility that we may never get to a universal HIV vaccine, while still providing a promising, long‑lasting solution.”

The post Stem Cell Editing Programs the Immune System to Make Own Therapeutic Proteins appeared first on GEN – Genetic Engineering and Biotechnology News.

STAT+: HaloMD’s legal win highlights the difficulty of challenging arbitration decisions

Arbitration decisions, it turns out, are like cockroaches. They’re very hard to kill. 

It’s a long held truism in the legal world, and it was underscored this week when a federal judge shot down a health insurer’s lawsuit challenging No Surprises Act arbitration decisions. The ruling doesn’t bode well for other pending lawsuits challenging awards doled out under the 2020 law’s arbitration process, known as independent dispute resolution.  

“You can’t second guess the arbitrators,” said Chris Deacon, a health policy consultant and former lawyer. “That’s the whole point of arbitration.”

Continue to STAT+ to read the full story…