Use of Wearable Devices to Augment Traditional Measurements of Postoperative Outcomes Following Total Joint Arthroplasty: Systematic Review

Background: Wearable devices enabling remote monitoring by surgeons of their patients have gained prominence around total joint arthroplasty (TJA), offering continuous patient data to identify those not meeting postoperative goals, thereby facilitating timely interventions. While multiple studies highlight the utility of these devices in tracking postoperative progress, a standardized approach to their application is lacking. This review aims to synthesize existing literature on the use of wearable device-tracked activity for monitoring TJA outcomes. Objective: We examined the current literature to evaluate how wearable devices are used in monitoring and improving patient rehabilitation and outcomes following TJA. Methods: A systematic review was conducted following Cochrane methodology. A literature search of all available literature was performed in April 2024 and identified 102 studies to undergo full-text review. Systematic reviews, duplicate papers, and theoretical papers were excluded. Ultimately, 35 studies met the selection criteria. Results: The review revealed that 32 of 35 (91.4%) studies used wearable devices to monitor step counts. A total of 21 (60%) studies incorporated joint-specific patient-reported outcome measures, though the specific measures varied. Further, 9 studies used standardized performance-based outcome measures, which also differed across studies. Finally, 7 (20%) studies collected sleep data; however, the methods and outcomes for sleep measurement were inconsistent among these studies. Conclusions: Remote monitoring via wearable devices offers a novel approach to tracking outcomes in TJA patients. Although the use of these devices in perioperative care is expanding, significant variability exists in the data reported across studies. Wearable monitoring is often integrated with patient-reported outcome measures and standardized functional assessments, yet the optimal data parameters that best correlate with established outcome metrics remain undefined. Additionally, data collected by wearables has not yet been shown to predict patient recovery or satisfaction. Further research is essential to refine these data parameters and the development of postoperative protocols that leverage wearable devices to enhance patient compliance and improve clinical outcomes. Trial Registration: PROSPERO CRD420261346230; https://www.crd.york.ac.uk/PROSPERO/view/CRD420261346230
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Impact of Prescribed and Self-Selected Music Interventions on Stress, Sleep, Heart Rate Variability, and Brain Connectivity in Surgeons Using 7-Tesla Functional Magnetic Resonance Imaging and Wearable Actigraphy: Multimodal Feasibility Randomized Controlled Trial

<strong>Background:</strong> Stress, sleep deprivation, and burnout are significant safety risks for acute care surgeons, negatively impacting performance, well-being, and clinical outcomes. <strong>Objective:</strong> This pilot randomized controlled trial aimed to measure neurophysiological effects of prescribed music (PM) and self-selected music (SSM) on surgeon stress, burnout, and neurophysiological responses using a multimodal protocol that integrated functional magnetic resonance imaging (fMRI), wearable biosensor monitoring, and psychological self-assessments. <strong>Methods:</strong> Full-time attending surgeons at a quaternary care hospital were invited to participate in a 3-armed trial (1:1:1 block allocation). Intervention groups were instructed to listen to 30 minutes (minimum 15 minutes) of either PM or SSM daily at bedtime for 6 weeks, reflecting real-world conditions. PM comprised original compositions based on elements promoting perceived relaxation from a prior study. The control arm avoided music in the 30 minutes before bed. Allocation was concealed from the recruiting investigator; the fMRI technicians, the statistician, and lead investigators were blinded until analyses were completed. Functional connectivity patterns were measured using fMRI at baseline and 6 weeks while participants listened to simulated intensive care unit noise, PM, and SSM. Secondary outcomes included continuous actigraphy for sleep quality and self-reported anxiety, sleep quality, and burnout using validated scales (State-Trait Anxiety Inventory, Pittsburgh Sleep Quality Index, and Maslach Burnout Inventory). <strong>Results:</strong> A total of 22 surgeons were assessed; demands of fMRI and data collection schedule led 3 to decline and 2 (allocated to PM) not to finish baseline measures; 6 PM, 5 SSM, and 6 controls received allocated intervention; 2 PM participants were withdrawn for nonadherence and missing follow-up data and 1 control missed follow-up collection due to scheduling (final analysis set after missing data: PM: n=4, SSM: n=5, control: n=5). One control participant experienced transient vertigo in fMRI. Trends in fMRI data indicated that both intervention groups experienced less negative emotional arousal and anxiety, with physical tension reduced in the PM group. The PM group exhibited reduced stress response in the frontal lobes when exposed to intensive care unit alarms, suggesting diminished attentional response to the high-stress auditory environment, compared to control. However, lack of statistical significance and baseline variability entail cautious interpretation. Observations of sleep quality were mixed, and no statistically significant differences in stress surveys were observed. <strong>Conclusions:</strong> Both music interventions trended toward positive changes in neurophysiological responses, suggesting potential benefits in reducing surgeon stress. However, due to the small sample, mixed or nonsignificant results, and the exploratory nature of this study, findings should be considered preliminary. Further research with larger, diverse cohorts is required to confirm trends, refine both the intervention approach and recruitment strategies, and determine whether objective compositional elements or personally selected music drive the mechanisms of potential positive effects. <strong>Trial Registration:</strong> ClinicalTrials.gov NCT05980429; https://clinicaltrials.gov/study/NCT05980429

Preliminary Usability Assessment of a Rule-Based Digital Self-Monitoring Platform for Patients With Brain Tumors Toward Digital Early Warning Systems: Pilot Feasibility Study

<strong>Background:</strong> Postoperative follow-up after brain tumor surgery is typically limited to intermittent clinic visits, leaving subtle neurological or general deterioration between visits underrecognized. Digital self-monitoring platforms may help fill this gap, but evidence in neuro-oncology is scarce, particularly regarding how patient-reported symptom trajectories can feed into future data-driven early warning systems. <strong>Objective:</strong> This study aimed to evaluate the feasibility, use patterns, and preliminary usability of a smartphone or web-based self-monitoring system for patients after brain tumor surgery and to explore simple rule-based digital alerts as a first step toward an advanced digital early warning framework. <strong>Methods:</strong> We conducted a single-center prospective pilot study including adults discharged after brain tumor surgery who had access to a smartphone and could use a web app. Participants completed brief symptom surveys consisting of 51 binary items across 7 symptom domains, with an automatically calculated daily total score and score history visualization. Feasibility was assessed by enrollment, retention, submission counts, and submission rates. A total of 4 interpretable alert rules based on current score, short-term worsening, new-onset symptom combinations, and persistence across domains were evaluated using each patient’s last 3 submissions as the analytic unit. Clinical deterioration was defined a priori as objective decline in performance status, new neurological deficit, radiologic progression, or clinically significant laboratory changes. Rule performance metrics and bootstrap CIs were computed. Usability and acceptability were evaluated using the System Usability Scale and additional adherence-related items. <strong>Results:</strong> Of 64 enrolled patients, 30 (47%) with ≥3 submissions formed the analysis cohort (median age 57, IQR 47.2–64.5 years; n=12.9, 43% malignant tumors); 6 (20%) experienced clinical deterioration during follow-up. Patients contributed a median of 8.5 submissions (mean 19.03, SD 30.12) at 1.7 surveys per week on average, indicating sustained but heterogeneous engagement. The best-performing rule, based on net short-term score increase, achieved an area under the receiver operating characteristic of 0.88, with sensitivity 0.83, specificity 0.92, and accuracy 0.90 on the last-window dataset, outperforming rules based solely on current score or multidomain persistence. Among 23 app users who completed the System Usability Scale, the mean score was 84.0, reflecting high perceived usability; higher-frequency users reported stronger perceived usefulness and habit-driven use. <strong>Conclusions:</strong> This pilot study demonstrates that a smartphone or web-based self-monitoring platform for patients with brain tumor is feasible and well accepted and that simple, transparent rules applied to longitudinal symptom scores show potential to capture early signals of clinical deterioration. However, given the small sample size, these predictive metrics are preliminary and require rigorous validation in larger, independent cohorts. These findings support further development of integrated digital early warning systems that combine patient-reported trajectories with clinical and physiological data to enhance postoperative neurosurgical care.

Involving Health Care Professionals in the Human-Centered Design of a Digital Platform for Work-Focused Health Care: Lessons From a Mixed Methods Study

<strong>Background:</strong> Effective collaboration throughout the full cycle of care is essential for value-based health care. In the Netherlands, occupational health care and curative health care traditionally operate as 2 separate sectors. As a consequence, effective communication and robust collaboration between professionals working in these sectors are lacking. Digital collaborative care platforms (ie, digital systems that facilitate communication and collaboration between health care professionals) are recognized as a promising solution to address the fragmentation of work-focused health care (health care that supports people on long-term sick leave in staying at or returning to work). A human-centered design (HCD) approach can help ensure that such platforms align with professionals’ needs by involving them throughout the design process. <strong>Objective:</strong> This study examines the experiences of (work-focused) health care professionals, including occupational physicians, insurance physicians, medical specialists, and general practitioners, during the design phase of a real-world HCD process for developing a digital platform to support collaborative care. The study specifically focused on understanding how these professionals perceive this collaborative approach. <strong>Methods:</strong> A mixed method study design was employed, combining observations of 17 design sessions with semistructured interviews with health care professionals as intended users of the platform. Observational data captured session dynamics, while interview data provided deeper insights into professionals’ experiences with the participatory HCD approach. <strong>Results:</strong> Health care professionals were generally motivated to contribute, driven by professional interest, social encouragement, or a desire to improve practice. They valued the open and informal atmosphere of the design sessions and described their role as actively sharing practical experiences and identifying bottlenecks in current practice. Participants emphasized the importance of clear goals, good preparation, and iterative involvement for meaningful engagement. Barriers identified included limited session time, constraints of virtual interaction, and uncertainty about the commercial context of the platform. Some professionals felt unsure about the relevance of their input or experienced limited interaction, especially when the session’s purpose was unclear. Others noted that the use of a mock-up platform as a conversational foundation, familiarity with similar system interfaces, and well-guided, structured discussions facilitated their input. Positive experiences included a sense of impact through involvement in the design process, note-taking as part of active user engagement, and a safe environment for open and constructive feedback. Participants recommended a clearer explanation of the platform’s broader aims in advance, enhanced participant preparation, and opportunities for multidisciplinary co-creation in future sessions. <strong>Conclusions:</strong> Health care professionals valued being part of the collaborative design process, but their engagement and perceived contribution were highly dependent on how the design sessions were facilitated. Structuring design sessions with clear expectations, preparatory tools, and opportunities for follow-up can support more effective, foundational co-creation in digital platform development for collaboration among professionals providing work-focused health care.

Exploring Influencing Factors of Medication Adherence Among Chinese Patients With Alzheimer Disease: Delphi Study Informing Future Artificial Intelligence–Supported Interventions

Background: Alzheimer disease (AD) affects cognition, treatment adherence, family connections, and health care resource allocation. Most patients with AD have low adherence to medication therapy due to the limitations associated with cognitive impairment. Therefore, increasing the involvement of patients and their family members in medication management is important to improve treatment outcomes and reduce the burden of care. Objective: This study explores the potential application of artificial intelligence (AI) in medication management for Chinese patients with early- to mid-stage AD focusing on enhancing medication adherence. The study first predicts and evaluates key factors through an online Delphi study, which provides a basis for their subsequent incorporation into the AI model as input variables to enable prediction of medication-taking behaviors. Since AI research in medication management for this population is still undeveloped, this paper further explores the multiple potentials of AI from a theoretical view, including drug dosage optimization, multidrug interaction detection, and family education support. It will provide a preliminary direction and theoretical basis for the development of an intelligent medication management system in the future. Methods: The exploratory online Delphi study with no modification predicted the key factors influencing medication adherence. Based on the results, the study confirmed the potential of AI to improve adherence. Participation by 12 experts in 3 rounds systematically assessed the core elements influencing patients’ adherence to their medication. Results: Family care, social support, environmental factors, emotional support, and patient behaviors were identified as the primary factors influencing medication adherence among Chinese patients with AD. These factors were validated and ranked through iterative Delphi rounds, with family care and social support receiving the highest importance scores. The Wilcoxon signed-rank test indicated no significant difference between rounds (=.06), supporting the stability of the consensus. These findings establish a foundational set of variables for AI systems that predict and enhance medication adherence. Conclusions: This study highlights the critical factors affecting medication adherence by Chinese patients with AD. It was designed as an exploratory online Delphi study to identify and prioritize key influencing factors, rather than to validate a specific AI-based system, and the findings provide a theoretical foundation for future AI-informed interventions. The results also indicate theoretical potential roles for AI in supporting medication management, such as optimizing drug dosage, detecting multidrug interactions, and enhancing family education.
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Community Health Worker Feedback on an mHealth Intervention for Hypertension in Rural Guatemala: Mixed Methods Formative Study

<strong>Background:</strong> Hypertension remains a leading global health challenge, particularly in low- and middle-income countries (LMICs), where limited health care infrastructure and resources restrict effective management. Community health workers (CHWs) are critical in delivering care in these settings, and when equipped with mobile health (mHealth) apps, they can greatly enhance chronic disease management. Involving CHWs in the design and development at all stages is essential for the success of such programs. However, relatively little research discusses CHW feedback on mHealth interventions. <strong>Objective:</strong> This study aims to evaluate CHW feedback on a hypertension program using a novel tablet-based mHealth tool designed for CHW hypertension diagnosis and management in rural Guatemala. <strong>Methods:</strong> We conducted a mixed-methods analysis as part of a pilot study in San Lucas Tolimán, Guatemala, involving 6 CHWs over a 6-month period. Quantitative data were collected using the System Usability Scale and Likert-scale surveys before and after study completion. Qualitative data were gathered through written surveys and focus group interviews conducted in Spanish by bilingual team members. These methods assessed the app’s ease of use, workflow integration, and cultural appropriateness. CHWs provided detailed perspectives on technical challenges, training adequacy, and patient engagement, which guided iterative refinements to both the mHealth app and the hypertension management program. <strong>Results:</strong> The mHealth app was generally well-received. Average System Usability Scale scores exceeded 70, surpassing established usability thresholds. Likert scale data revealed CHWs found the app to be useful and easy to use, but identified training protocols as areas for improvement. Qualitative analysis of focus groups and written surveys revealed 3 dominant themes. First, CHWs identified practical short-term needs, including slower and more comprehensive training sessions, simplified medication dosing regimens to reduce pill burden, and streamlined survey questions to shorten patient visit times. Second, CHWs raised larger structural concerns, including retention challenges related to financial compensation and misalignment between required clinical data collection and the cultural appropriateness of certain app questions. Third, CHWs highlighted program benefits, including improved patient care and hypertension management, empowerment through educational tools, and increased pride and community trust associated with the program. <strong>Conclusions:</strong> Our findings suggest that iteratively integrating user feedback into the development of mHealth interventions is key to improve usability, cultural appropriateness, and overall effectiveness of chronic disease management in resource-constrained settings. Due to the small number of CHW participants, as well as a reliance on self-reported perceptions, these findings should be interpreted as exploratory and hypothesis-generating rather than generalizable. This study contributes to the growing literature on mHealth apps for noncommunicable diseases in LMICs and provides insights into CHW experiences. Addressing the technical barriers and systemic challenges identified in this study can help improve future implementations of mHealth-enabled chronic disease programs in LMICs. <strong>Trial Registration:</strong>

Targeted Gene Delivery Calms Lung Inflammation in Respiratory Infection Mouse Models

A group of scientists have developed a targeted delivery platform that can induce anti-inflammatory cytokine expression in mouse lungs, which helps restrict tissue damage from respiratory infections without triggering systemic side effects. Full details are published in Science Immunology in a paper titled “Gene delivery of immunomodulatory cytokines to the lung preserves respiratory function during inflammatory challenge.”

The study was led by scientists in the pathology department at the University of Cambridge working alongside collaborators elsewhere. Together, they “developed a gene delivery system to express anti-­inflammatory cytokines in the lung, which reestablishes local immune homeostasis without triggering systemic effects,” according to details provided in the paper. Specifically,  they used an adeno-associated virus cargo system (AAV6.2-CC10) to induce “production of interleukin-­2 (IL-­2), IL-1 receptor antagonist (IL-­1RA), and IL-­10 in situ in the lung microenvironment.” They accomplished this “with no detectable expression or immunological deviation in the peripheral immune system.”

According to the developers, their work could lead to new therapeutics that control inflammation following several viral infections, which has been linked to higher mortality rates in cases of SARS-CoV-2 and influenza. Prolonged inflammation during a viral infection also increases the chances that patients could contract bacterial and fungal infections. Importantly, the approach provides a way to harness the “therapeutic potential of immunomodulatory cytokines” which to date have had limited success as biologic drugs due in part to the short half-lives of cytokines as well as the risks of multiorgan effects. “This tool has been proven to deliver sustained and localized expression as evidenced by the results from three tested cytokines,” the effects of which were “restricted to the lungs” and resulted in “prolonged production over the course of weeks.” 

The paper goes into the details of how the scientists characterized their method and demonstrated that it induced expression only in specific lung epithelial cells without off-target accumulation. Also provided are details of how they used the system to assess how lung-specific expression of IL-2, IL-1RA, and IL-10 affected disease severity in mouse models of influenza. They found that IL-2 expression was not especially beneficial during infection, possibly due to the amplification of protective regulatory T cells and proinflammatory CD8 T cells in the lungs. However, IL-1RA and IL-10 reduced tissue damage and improved recovery after infection and inflammation. 

In addition, data from their experiments showed that delivering either individual cytokines or a cocktail of all three protected mice from influenza-associated aspergillosis. In fact, treated mice showed “reduced neutrophil infiltrates and improved health outcomes,” including reduced weight loss compared to untreated mice, the scientists wrote. 

Future experiments with human cell culture systems could lay the groundwork for preclinical testing. However, there are still some limitations. For example, “we did not evaluate the kinetics of repeated administration of the same AAV vectors,” the scientists wrote. “Repeated administration can lead to the development of neutralizing antibodies, which can hinder the uptake of AAVs in subsequent treatments.” Another challenge is with the cargo itself. Though it performs well in mouse models, its “utility in a patient-based setting needs to be tested,” the scientists said. 

The post Targeted Gene Delivery Calms Lung Inflammation in Respiratory Infection Mouse Models appeared first on GEN – Genetic Engineering and Biotechnology News.

First-Line Zongertinib Shows Strong Activity in HER2-Mutant Lung Cancer

For years, patients with HER2-mutant non–small cell lung cancer (NSCLC) have occupied a frustrating gap in precision oncology. While targeted therapies have transformed outcomes for EGFR– and ALK-driven lung cancers, HER2-mutant disease has lagged behind, with chemotherapy remaining the standard first-line option.

New data from the Phase Ia/Ib Beamion LUNG-1 trial, published in The New England Journal of Medicine, suggest that this may be changing. The oral HER2 inhibitor zongertinib demonstrated high response rates and durable clinical benefit in treatment-naïve patients, positioning it as a potential new first-line standard.

A long-standing unmet need

HER2 mutations occur in approximately 2–4% of NSCLC cases and are associated with aggressive disease and poor prognosis. Despite advances in targeted therapy across lung cancer, patients with HER2-driven tumors have historically had limited options, particularly in the first-line setting.

Until recently, treatment largely relied on chemotherapy, with or without immunotherapy, yielding modest outcomes, including progression-free survival typically under seven months.

“Just a few years ago, patients with this disease had no effective targeted therapies,” said John Heymach, MD, PhD, principal investigator of the study. “Now, healthcare providers have a HER2-targeted treatment option that can make a meaningful difference.”

High response rates and durability

In the trial, 74 previously untreated patients with advanced or metastatic HER2-mutant NSCLC received zongertinib at the selected dose of 120 mg daily. The results were striking.

A confirmed objective response was observed in 76% of patients, including both complete and partial responses. Tumor shrinkage was both rapid and durable, with a median duration of response of 15.2 months and median progression-free survival of 14.4 months.

These outcomes represent a substantial improvement over historical benchmarks and suggest that HER2-mutant NSCLC may finally benefit from the kind of targeted therapy success seen in other molecular subtypes.

“We observed unprecedented response rates for this cancer subtype,” Heymach said.

A more selective approach to HER2 targeting

One of the key differentiators of zongertinib is its selectivity. Unlike earlier HER2-targeted approaches, the drug inhibits HER2 while sparing wild-type EGFR, a closely related receptor whose inhibition is often associated with toxicity.

Zongertinib is described as an oral, irreversible tyrosine kinase inhibitor that selectively targets HER2 while minimizing EGFR-related side effects.

Clinically, this translated into a manageable safety profile. Most adverse events were low-grade, with relatively low rates of severe diarrhea and rash, common toxicities associated with EGFR inhibition. Serious complications such as interstitial lung disease were rare.

Activity in brain metastases

HER2-mutant NSCLC is also characterized by a high incidence of brain metastases, a major clinical challenge. Notably, the study demonstrated meaningful activity in this setting as well.

Among patients with active brain metastases, 47% achieved a confirmed intracranial response. Responses were also observed regardless of HER2 mutation subtype or baseline brain involvement, suggesting broad applicability across patient subgroups.

This intracranial activity is particularly significant, given the limited effectiveness of many systemic therapies in the central nervous system.

Implications for first-line treatment

The emergence of zongertinib as a first-line option marks a potential inflection point in the treatment of HER2-mutant NSCLC. For the first time, patients may be able to receive a targeted therapy at diagnosis, rather than progressing through less effective chemotherapy regimens.

The data have already translated into regulatory momentum. Zongertinib recently received accelerated FDA approval for this indication, reflecting both the strength of the clinical data and the unmet need in this population.

However, important questions remain. The current study is single-arm and lacks a direct comparison with standard-of-care therapies. A Phase III trial is ongoing to evaluate zongertinib against chemotherapy-based regimens in the first-line setting.

Positioning within a changing landscape

The broader treatment landscape for HER2-mutant lung cancer is also evolving. Antibody–drug conjugates such as trastuzumab deruxtecan have shown activity in previously treated patients, but are associated with notable toxicities and are typically used after progression.

Zongertinib’s oral administration, favorable safety profile, and first-line efficacy could shift treatment sequencing, potentially moving targeted therapy earlier in the disease course.

At the same time, resistance mechanisms are likely to emerge. Early data suggest that distinct resistance pathways may develop for tyrosine kinase inhibitors compared to antibody-based therapies, raising the possibility of sequential or combination strategies.

Looking ahead

As HER2-targeted therapies move into earlier lines of treatment, the focus will increasingly shift toward optimizing sequencing, managing resistance, and identifying combination approaches.

For now, the results from Beamion LUNG-1 provide strong evidence that HER2-mutant NSCLC, long considered a difficult-to-treat subtype, may finally be entering the era of precision oncology.

With high response rates, durable benefit, and activity in brain metastases, zongertinib offers a compelling new option, and a clear signal that the treatment paradigm for these patients is changing.

The post First-Line Zongertinib Shows Strong Activity in <i>HER2</i>-Mutant Lung Cancer appeared first on Inside Precision Medicine.

Immune Priming Could End Immunosuppression After Liver Transplant

Results from a Phase I/IIa trial show promise for an immune priming approach where donor immune cells are infused into liver transplant recipients before surgery. In the small-scale clinical trial, three patients were reported to remain completely off immunosuppression for over three years thanks to this treatment. 

Recipients of organ transplants need to take lifelong medication to prevent the immune system from rejecting the transplant. In the case of end-stage liver disease patients, the serious side effects of immunosuppressants are considered acceptable in the face of a severe and life-threatening condition. Still, researchers have long been looking for strategies to at least reduce the intensity and duration of this treatment, which would significantly improve the health of these patients and the financial burden of long-term immunosuppression. 

“Long-term use of immunosuppressive drugs can harm the kidneys, causes metabolic complications, makes patients more susceptible to infections and certain types of cancer, as well as diabetes,” said Angus Thomson, PhD, DSc, professor of surgery and immunology at the University of Pittsburgh’s School of Medicine (UPMC). “Sparing patients from these serious side effects has been a goal that Pittsburgh transplant scientists began pursuing three decades ago. It is an honor to achieve this important milestone toward finally realizing that dream.”

The immune priming approach developed by Thomson’s team makes use of regulatory dendritic cells (DCregs), a type of immune cell that regulate innate and adaptive immunity and have the ability to train the immune system to stop recognizing transplanted cells as foreign. The treatment is made by extracting monocytes from the donor’s blood and inducing them to turn into DCregs. 

Launched in 2017, the clinical trial recruited a total of 13 patients who were infused with DCregs from their donor a week before surgery. A year after surgery, transplant recipients underwent a biopsy and an assessment to determine if they were eligible for immunosuppressant withdrawal.

Out of eight patients who stopped taking immunosuppressants, four achieved complete withdrawal and three of them remained off immunosuppression therapy for over three years. These findings represent a significant improvement compared to the rate of patients who successfully withdraw from immunosuppression without intervention, raising it from 16% to 37%. 

“For as long as organ transplantation has been a field of medicine, tolerance has been its holy grail,” said Abhinav Humar, MD, clinical director of the Starzl Transplantation Institute and chief of the division of transplantation at UPMC. “While we haven’t hit a home run yet, we’ve definitely gotten on base by reliably and safely removing immunosuppression early after transplantation from a significant percentage of patients, which is a huge breakthrough.”

While preliminary efficacy results seem promising, the main objective of this small scale trial was to establish the treatment’s safety and feasibility. Based on these results, a larger scale, randomized trial will be designed and conducted with the purpose of establishing the efficacy of this immune priming approach. 

In future studies, the researchers also want to explore the use of an alternative immunosuppressant medication that may be more likely to allow DCregs to stop immune rejection against the transplant, as well as studying the effects of infusing the donor cells after surgery and looking for ways of obtaining these cells from deceased donors to expand the potential applications of this approach. 

“There are so many tantalizing paths we could take to help our findings benefit many more patients,” Thomson said. “We are very interested in collaborating with other transplantation centers to accelerate and scale our clinical research.”

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The first year-long CGM implant developer isn’t done yet

Senseonics became the first company to bring a year-long continuous glucose monitor (CGM) to market with the launch of its Eversense 365 implantable system in 2024. The sensor system is different than existing transcutaneous sensors from Abbott and Dexcom, which use a small needle to measure glucose in the interstitial fluid under a patient’s skin…

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