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Photoplethysmography (PPG) is a non-invasive optical technique commonly used to measure heart rate and oxygen saturation, but its waveform contains additional physiological information that can be analyzed using artificial intelligence (AI). This narrative review summarizes the emerging applications of AI-based PPG in cardiovascular, respiratory, sleep, hemodynamic, pregnancy-related, and portal-hypertension assessment, with the aim of evaluating its potential beyond conventional monitoring and identifying barriers to clinical translation. The literature search was conducted using PubMed, Google Scholar, IEEE Xplore, ScienceDirect, and SpringerLink. Additional relevant studies were identified through screening the reference lists of included articles. Studies published between 2002 and 2026 were identified to capture the development of PPG from conventional monitoring to newer AI-based applications. Human studies were prioritized, while relevant computational, simulated, synthetic, ex vivo, and technical studies were also included. Studies unrelated to PPG, duplicates, and studies with limited relevance were excluded. A total of 96 references were included, covering AI approaches such as convolutional and deep neural networks, ensemble methods, transfer learning, U-Net, generative adversarial networks, and Transformer-based models. Overall, the reviewed evidence suggests that AI-based PPG may support blood pressure estimation, atrial fibrillation detection, sleep and respiratory monitoring, vascular aging assessment, pulmonary hypertension screening, preeclampsia assessment, volume-status and compensatory-reserve assessment, and exploratory assessment related to portal hypertension. However, clinical translation remains limited by motion artifacts, sensor and measurement-site variability, skin-pigmentation-related bias, physiological and environmental influences, heterogeneous methods, limited external validation, and inconsistent clinical and regulatory standards.

Primary mediastinal B-cell lymphoma (PMBCL) is a rare form of large B-cell lymphoma (LBCL) with around 90% of patients cured with frontline treatment. For relapsed or refractory (R/R) disease, the optimal treatment is unclear. CD19 chimeric antigen receptor-T cell (CAR-T) has been established as the preferred second line (2L) treatment for primary refractory or early relapsing LBCL based on the overall survival benefits observed in the landmark phase III trials. However, PMBCL patients were underrepresented on these pivotal studies. This study evaluated outcomes of 252 patients treated with 2L therapies for R/R PMBCL at 14 US institutions between 2001 and 2025. Platinum-based salvage with intent to proceed to high dose therapy and autologous stem cell transplant (HDT/ASCT) (platinum cohort) and CD19 CAR-T (CAR-T cohort) were given as 2L therapy in the real-world setting in 157 and 26 patients, respectively. Overall response rate (ORR), complete response (CR) rate and median progression-free survival (PFS) were significantly higher in the CAR-T cohort compared with the platinum cohort (ORR: 91.3% vs 44.2%, p <0.001; CR 65.2% vs 14.7%, p<0.001; median PFS not reached vs 3.5 months, hazard ratio (HR) 0.28, 95% CI 0.15-0.54, p=0.001). No significant difference was observed in overall survival. This study demonstrated superior response rate and PFS of CD19 CAR-T over platinum-based salvage with intent to proceed to HDT/ASCT as 2L treatment for R/R PMBCL.

Myeloproliferative neoplasm (MPN) patients are at risk of splanchnic vein thromboses (SVT). Prior studies have failed to demonstrate a benefit of hydroxyurea therapy in preventing recurrent thrombosis after SVT, but are limited by small sample sizes and inability to account for starting, stopping, or switching of cytoreductive therapies. To better assess the impact of cytoreductive therapy on thrombosis recurrence, we performed a retrospective cohort study of MPN-SVT patients from the international GASTRO-MPN Consortium, treating cytoreductive therapy as a time-dependent covariate. We identified 757 patients, of which 43% were treated with cytoreductive therapy. During a median follow-up of 7.4 years, 256 patients (34%) had thrombosis recurrence; 145 (19%) had SVT extension/recurrence/TIPS thrombosis, 138 (18%) an thrombosis recurrence outside the splanchnic bed (74% were venous). Additionally, 262 patients (35%) experienced clinically relevant bleeding and 170 (22%) died. After adjusting for age, sex, prior thrombosis, timing of MPN diagnosis relative to SVT, anticoagulation initiation within 30 days of SVT diagnosis, MPN type, JAK2 status, other cancers and cirrhosis, cytoreductive therapy was associated with a decreased risk of recurrent thrombosis (HR 0.67 95%CI 0.50-0.89, p=0.01). This was driven by a lower risk of SVT extension/recurrence (HR 0.62 95%CI 0.42-0.90, p=0.01) but not by extra-splanchnic thrombosis recurrence (HR 0.97 95%CI 0.72-1.30, p=0.82). In a subgroup of patients without erythrocytosis/thrombocytosis at initial SVT (n=275), cytoreductive therapy was associated with a HR 0.65 (95%CI 0.40-1.07, p=0.09) for recurrent thrombosis. These data support the use of cytoreductive therapy in MPN-SVT patients to prevent recurrent thrombosis, particularly SVT extension/recurrence.

ABSTRACT Pathogenic variants in MAPK8IP3 (JIP3) cause Neurodevelopmental Disorder with or without variable Brain Abnormalities (NEDBA), characterized by cognitive impairment, global developmental delay, motor dysfunction, abnormal muscle tone, behavioral dysregulation including autism and attention deficit hyperactivity disorder (ADHD), seizures, and structural brain abnormalities. While more than 30 largely de novo MAPK8IP3 variants have been reported, the functional impact of variants across JIP3 protein structural domains is poorly defined. To address this knowledge gap, we compare clinical features of individuals with a truncating (p.E27X) or one of two missense (p.R578C and p.R1146C) variants from distinct JIP3 functional protein domains to corresponding knock-in mouse models. Our findings showed that all individuals, regardless of variant type, exhibited delays in language and gross motor function, but individual variants were associated with distinct motor, cognitive, and psychiatric symptoms. Corresponding homozygous p.E27X and p.R1147C variant mice resulted in embryonic lethality, consistent with essential roles for JIP3 in early neurodevelopment. Behavioral characterization of viable heterozygous mice revealed variant-specific locomotor, motor coordination, and hindlimb clasping defects that closely recapitulate clinical observations. Heterozygous p.R579C mice exhibited reduced locomotion, impaired motor performance, and hypertonia-like clasping, mirroring human motor deficits. In contrast, p.R1147C mice displayed hyperactivity, hindlimb clasping, and decreased brain weight, paralleling human clinical features. Together, our findings demonstrate that while distinct MAPK8IP3 variants lead to some shared phenotypes, they are also associated with distinct phenotypes that could reveal domain-specific aspects of JIP3 function. This work establishes the first domain-resolved in vivo rodent models of NEDBA and provides a validated translational platform for mechanistic investigation and preclinical therapeutic testing.

e15722 Background: Despite overall improvements in colorectal cancer (CRC) outcomes, concerning trends have emerged in younger populations. We examined two decades of US mortality data to characterize age-specific trajectory differences and identify inflection points in the epidemiologic landscape of CRC. Methods: Using CDC WONDER data (1999–2020), we analyzed age-adjusted CRC mortality rates (ICD-10: C18–C20) stratified by age: early-onset (≤44 years) versus late-onset (≥45 years). Joinpoint regression analysis (Version 5.4.0.0) with permutation testing identified significant trend changes. Annual Percent Change (APC) estimates with 95% confidence intervals assessed temporal patterns, with statistical significance set at α = 0.05. Results: Late-onset CRC (≥45 years): Mortality rates declined substantially from 69.26 to 40.49 per 100,000, representing a 41.6% reduction. A critical inflection point occurred in 2014 (95% CI: 2011–2015), marking a deceleration in the rate of improvement. The pre-2014 period showed robust decline (APC: −3.06%; 95% CI: −3.18 to −2.93; p < 0.000001), which slowed significantly post-2014 (APC: −1.61%; 95% CI: −2.12 to −1.09; p = 0.000006)—a 47% reduction in the pace of mortality improvement.Early-onset CRC (≤44 years): In stark contrast, mortality rates increased from 0.92 to 1.13 per 100,000, representing a 22.8% rise. No inflection points were identified; instead, a persistent upward trajectory characterized the entire 22-year period (APC: +0.78%; 95% CI: +0.54 to +1.02; p = 0.000001). This yielded a continuous, unabated increase in deaths among young adults. Conclusions: This analysis reveals a troubling paradox in US colorectal cancer mortality: while older adults experienced substantial but decelerating improvements, young adults faced steadily worsening outcomes throughout the study period. The 2014 inflection point in older adults, coinciding with slowed screening expansion and potential changes in risk factor prevalence, coupled with the relentless rise in early-onset mortality, signals an urgent need to reassess prevention strategies, lower screening age thresholds, and investigate biological and environmental drivers of early-onset disease. The nearly 23% increase in mortality among those ≤44 years represents a growing public health crisis demanding immediate action.

Abstract Background Sleep disorders are increasingly recognized as important risk factors for cardiovascular disease (CVD), yet their contribution to cardiovascular mortality remains insufficiently examined at the population level. This study aimed to evaluate long-term trends in CVD mortality where sleep disorders were identified as contributing causes of death. Methods We analyzed U.S. national mortality data from 1999 to 2020 among individuals aged 15 to 84 years. Cases were selected where CVD (ICD-10: I11.0, I11.9, I20-I25, I48, I49.0, I49.9, I50.0, I50.1, I50.9) was the underlying cause and sleep disorders (ICD-10: G47.0-G47.3) were listed as contributing causes. Joinpoint regression was employed to assess temporal changes in age-adjusted mortality rates (AARs), with standard errors provided in the input data and model selection performed using Weighted BIC. APCs were estimated using the Empirical Quantile Method with 5001 resamples. Results A total of 118,440 deaths were included across 22 annual time points. Joinpoint regression identified two significant inflection points (2005 and 2018). From 1999 to 2005, AARs increased sharply (APC = 14.47%; 95% CI: 11.56-19.54; p = 0.0016), followed by a slower rise from 2005 to 2018 (APC = 6.62%; 95% CI: 4.23-10.83; p &lt; 0.000001), and a renewed acceleration from 2018 to 2020 (APC = 11.54%; 95% CI: 7.01-14.12; p &lt; 0.000001). Males had more than twice the AAR compared to females (3.00 vs. 1.31 per 100,000). Black individuals had the highest burden by race (AAR = 2.55), and geographic variation ranged widely from 0.70 in New York to 3.38 in Wyoming. Conclusions Over two decades, cardiovascular mortality with contributory sleep disorders has risen significantly, with widening demographic and geographic disparities. These findings reinforce that sleep disorders are not merely comorbidities but pivotal, modifiable drivers of cardiovascular morbidity and mortality. Untreated sleep conditions such as insomnia, obstructive sleep apnea, and circadian disruptions exacerbate autonomic dysfunction, inflammation, hypertension, and metabolic dysregulation. Addressing sleep health must become a core component of cardiovascular risk reduction strategies, both in clinical practice and public health policy. Failure to integrate sleep disorder screening, diagnosis, and management into CVD care pathways risks perpetuating a preventable and growing burden of disease. This abstract is funded by: None

Introduction Sepsis is a global health priority with nearly 50 million cases annually. Cardiovascular dysfunction is common, frequently manifesting as hypotension that persists despite fluid resuscitation. Most affected patients require the use of intravenous (IV) vasoactive agents, typically necessitating intensive care unit (ICU)-level monitoring, invasive interventions and contributing substantially to healthcare costs. Midodrine, an oral alpha-1 agonist approved for orthostatic hypotension, has increasingly been used off-label as a vasopressor-sparing (reducing IV vasopressor use) strategy in sepsis, despite limited and inconsistent evidence. This pragmatic, randomised, open-label trial evaluates the efficacy and safety of midodrine in patients with sepsis-associated hypotension. We hypothesise that, compared with standard care, midodrine administration will reduce the duration of IV vasopressor use. Methods and analysis A total of 308 adult patients with sepsis-associated hypotension will be enrolled (154 per arm). The intervention group will, in addition to standard of care, receive enteral midodrine 10 mg three times daily. Outcomes will be ascertained pragmatically via electronic health record-based data retrieval and adjudicated by research coordinators blinded to treatment assignment. The primary outcome is time alive and off IV vasopressors in the first 28 days (in hours) after randomisation. Secondary outcomes include cumulative vasopressor exposure; use and duration of central venous access; cumulative fluid balance over the first 48 hours and up to 7 days of ICU stay; ICU and hospital length of stay; and ICU-, hospital-, and organ support-free days through day 28. Safety outcomes include adverse events potentially attributable to midodrine during hospitalisation including acute kidney injury. Primary analyses will follow an intention-to-treat framework, including all randomised participants according to their assigned treatment groups. Primary and secondary outcomes will be compared using a van Elteren test stratified by randomisation factors. A predefined secondary Bayesian analysis of the primary outcome will provide complementary estimates of treatment effect. Safety outcomes will be summarised descriptively without formal between-arm hypothesis testing. Ethics and dissemination The Mayo Clinic Institutional Review Board approved this protocol and required written informed consent from all participants (IRB# 24–0 00 121). Findings will be disseminated through peer-reviewed publications and international conference presentations. Trial registration number NCT06319248 .

Background/Objectives: Precocious puberty (PP), defined as the onset of secondary sexual characteristics before 8 years in girls and 9 years in boys, is associated with psychosocial distress, compromised adult height, and long-term metabolic risk. Early identification remains challenging, as current diagnostic approaches are largely reactive and rely on invasive or resource-intensive testing. This narrative review examines how artificial intelligence (AI) can support earlier risk prediction and detection of PP through integration of clinical, hormonal, imaging, lifestyle, and environmental data. Methods: A narrative literature review was conducted using PubMed, Scopus, Embase, Web of Science, and Google Scholar to identify relevant studies published between 2005 and 2025. Eligible studies included original research and high-quality reviews that examined AI-based approaches, such as machine learning and deep learning, in pediatric endocrinology, particularly for the prediction or diagnosis of central or peripheral precocious puberty. Studies incorporating clinical, hormonal, radiological, lifestyle, environmental, or multi-omics data relevant to AI modeling were included. Results: AI models, including XGBoost, random forest, convolutional neural networks, and regression-based approaches, have demonstrated potential utility in predicting central precocious puberty using hormonal, imaging, and growth data. Reported applications include automated bone age assessment, lifestyle and dietary risk stratification, and exploratory use of wearable-derived behavioral data. However, progress is limited by small pediatric datasets, population bias, limited interpretability, and unresolved ethical challenges related to privacy, consent, and equity. Conclusions: Artificial intelligence represents a promising decision-support approach for earlier, non-invasive, and individualized risk assessment in precocious puberty. Future progress will depend on the integration of longitudinal, multimodal data, the development of ethical models, and interdisciplinary collaboration among pediatric endocrinologists, data scientists, and public health stakeholders.