Citations

The accurate diagnosis of disorders of gut-brain interaction (DGBI), such as functional dyspepsia and irritable bowel syndrome, is crucial for improving patient symptoms, outcomes and ultimately, quality of life. However, busy clinicians often face challenges in diagnosing and managing these conditions, particularly when patients present with non-specific gastrointestinal symptoms together with psychosocial distress and/or social issues. DGBI are among the most common reasons for gastroenterology referral, with a global prevalence of approximately 40% in adults based on large-scale epidemiologic studies. While diagnostic algorithms aid in positively identifying DGBI, they often overlook key factors influencing treatment decisions. The Rome V Multidimensional Clinical Profile (MDCP) offers a comprehensive, patient-centered framework that extends beyond diagnosis alone. It integrates five core domains: (1) the primary diagnosis, (2) clinical modifiers, (3) impact on daily activities and quality of life, (4) psychosocial modifiers, and (5) physiological features and biomarkers. By considering comorbidities, illness severity, psychosocial contributors, and potential biomarkers, the MDCP enables clinicians to develop a holistic understanding of the patient's condition. This multidimensional approach facilitates tailored, evidence-based treatment plans that address the biopsychosocial aspects of DGBI, ultimately enhancing symptom management and patient well-being. Furthermore, it highlights gaps in knowledge and stimulates targeted research into these highly prevalent disorders. This case-oriented educational review will evaluate three DGBIs – functional dyspepsia, irritable bowel syndrome, and chronic abdominal pain – using the MDCP approach.

Abstract Objective: Determine if automated struts can successfully power a balanced cable transport (BCT) during tibial bone transport and thus benefit from the advantages of automation. Design: Retrospective observational case series. Setting: Level 1 trauma center. Patients/Participants: A retrospective analysis of 7 tibial BCTs using automated struts was performed with an average defect size of 102 mm. Outcomes: Union rate, complications, external fixation index, bone healing index, and mechanical alignment. Results: The average bone healing index was found to be 21.9 days/cm in bifocal BCT and 13.7 days/cm in trifocal BCT. Automated struts successfully powered 7 BCTs but were not without complications. Four patients had strut malfunctions necessitating unscheduled return to clinic. Other complications not secondary to the struts included pin tract infections (n = 4) and unplanned return to the operating room (n = 2, docking site nonunion and revision ankle arthrodesis). Conclusions: Automated struts powering BCT is feasible but not without complications. This treatment strategy combines the advantages of automation with the advantages of BCT. Incorporating automation into these complex constructs will allow for ease of use for patient and caregiver during the long process of bone transport, theoretically decrease noncompliance, which otherwise can cause severe complications, and increased segmentation, which may improve quality of regenerate bone formation. Level of Evidence: Level 4.

Background: Heart failure with preserved ejection fraction (HFpEF) accounts for over half of all heart failure (HF) cases and remains diagnostically challenging due to nonspecific symptoms and a lack of accessible noninvasive screening tools, leading to widespread underdiagnosis and delayed treatment. The electrocardiogram (ECG) is a low-cost, widely available tool that reflects myocardial electrical remodeling. We previously developed and externally validated an ECG-based artificial intelligence (ECG-AI) model capable of classifying ECGs into four categories: reduced ejection fraction (rEF), mid-range ejection fraction (mEF), HFpEF, and controls. In this study, we evaluate the ability of this ECG-AI model to predict future HFpEF diagnosis using real-world data from a large integrated health system. Methods: We applied the validated ECG-AI model to an independent cohort of 7713 patients from Wake Forest Baptist Health (WFBH), using one ECG per patient recorded before the clinical diagnosis of HFpEF. Model discrimination was evaluated across multiple prediction windows from six months up to ten years before diagnosis using the area under the receiver operating characteristic curve (AUC), with comparisons performed using DeLong’s test. Performance was also compared head-to-head with the H2FPEF score, a validated clinical score for HFpEF, in the subset of patients with complete data for score calculation. ECG-AI outputs were stratified into quartiles and evaluated using Kaplan–Meier survival analysis and multivariable Cox proportional hazards regression adjusted for demographics and major comorbidities. Results: Of the 7713 patients, 283 (3.7%) were subsequently diagnosed with HFpEF. The ECG-AI model achieved an AUC of 0.79 (95% CI, 0.72–0.86) using ECGs recorded within six months before diagnosis. Discrimination remained stable across prediction windows extending up to ten years before diagnosis (AUC range, 0.78–0.80; all DeLong p > 0.01 vs. the six-month window). Compared with the H2FPEF score, ECG-AI demonstrated superior discrimination, improving the AUC by 0.06–0.07 across the evaluated prediction windows. Patients in the highest ECG-AI risk quartile had an unadjusted hazard ratio (HR) of 11.18 (95% CI, 7.27–17.21; C-index, 0.75) and an adjusted HR of 6.60 (95% CI, 4.24–10.28; C-index, 0.82). Adding clinical covariates to ECG-AI improved the C-index by 0.07 and 0.09 for the five- and ten-year prediction windows, respectively. Conclusions: An independently validated ECG-AI model predicted incident HFpEF up to ten years before clinical diagnosis and outperformed the H2FPEF score using ECG alone, indicating that ECG-derived signatures precede clinical recognition of the syndrome. ECG-AI shows promise as a prognostic, risk-stratification tool to prioritize further evaluation; prospective validation and single-lead assessment are needed before screening or wearable deployment.

Background Interventional radiotherapy (IRT), also known as brachytherapy, has become a cornerstone of radiation oncology due to its ability to maximize therapeutic efficacy while minimizing side effects to surrounding tissues. This bibliometric analysis aims to examine the evolution of IRT over the past decade. Material and Methods A string comprising IRT-related keywords was developed, and data were extracted from the Scopus database for English-language documents published between January 2014 and December 2024. The analysis was performed using Bibliometrix package Results A total of 15 755 documents from 2150 sources were analyzed, revealing an average annual growth rate of 1.03%. Publication trends were stable from 2014 to 2018, surged from 2019, and peaked in 2021, with subsequent levels remaining above pre-2019 figures. Original articles accounted for 72.7% of the literature, with key contributions from journals such as “Brachytherapy” and the “Journal of Contemporary Brachytherapy”. The analysis highlighted strong collaborative networks, with significant input from North American and European institutions, and identified focal research themes including uterine cervical cancer and prostate brachytherapy. Emerging topics, such as deep learning, artificial intelligence, and personalized dosimetry, underscore the field's shift towards precision medicine. Conclusions The findings reflect IRT's dynamic research landscape and its growing integration into modern oncologic practice, emphasizing the need for continued interdisciplinary efforts and clinical trials to advance this minimally invasive treatment modality further. Highlights • A decade-long bibliometric analysis of 15 755 publications on interventional radiotherapy (IRT) reveals stable growth, with a notable surge in research activity post-2019. • Uterine, cervical, and prostate cancers remain the most studied clinical indications for IRT globally. • North American and European institutions dominate collaborative networks, reflecting the strength of transatlantic research partnerships. • Emerging research themes include artificial intelligence, deep learning, and personalized dosimetry—marking a transition toward precision oncology. • The field's evolving landscape highlights the increasing clinical and scientific significance of IRT in contemporary cancer care.

The Pulmonary Embolism Reporting and Data System (PE-RADS) provides a standardized framework for reporting acute pulmonary embolism at CT and MR angiography to guide treatment considerations based on clot location and right heart imaging features.

Objective Respiratory syncytial virus (RSV) is an important viral pathogen in children, older adults and adults with certain high-risk conditions. In our prospective community-based cohort study of adults 50 years and older before the COVID-19 pandemic, the incidence of RSV acute respiratory infection (ARI) was 48.6 cases/1000 person-years (PY), which decreased to near zero during the COVID-19 pandemic. Our objective was to determine the incidence of RSV-ARI during the 2 years following the initial phase of the pandemic (2021–2022 and 2022–2023). Design This is a community-based prospective cohort study. Setting Adults living in southeast Minnesota from October 2021 to September 2022 (year 3) and October 2022 to September 2023 (year 4). Participants Adults≥50 years (n=2500). Primary and secondary outcomes We calculated incidence and attack rates for RSV-ARI as primary outcome and reported hospitalisations, pneumonia and death following ARI as secondary outcome. Results There were 2500 participants in the study with a mean age of 68.2 years (SD 9.3) at the start of year 3. Participants were predominantly female (60%), non-Hispanic white (96%) and residing in urban areas (76%). The incidence rate of RSV-ARI was 6.12/1000 PY (95% CI 3.42 to 10.09) in 2021–2022 and 16.40/1000 PY (95% CI 11.66 to 22.42) in 2022–2023. We noted higher attack rates of RSV-ARI during the winter months. There were no hospitalisations, pneumonia or deaths within 30 days of RSV-ARI. Conclusions Compared with the period before the COVID-19 pandemic, RSV-ARI incidence was lower in both 2021–2022 and 2022–2023 periods. In 2022–2023, the incidence increased 2.7-fold compared with the 2021–2022 period. The observed incidence rates, particularly the significant increase in the most recent season, underscore the continued public health relevance of RSV-ARI and support the rationale for ongoing RSV vaccination efforts to mitigate its overall burden in the population.

Abstract Background and Objectives: Neurosurgery is a distinctive realm with a tight and strict margin of error. IRRAflow (IRRA flow ) is a US Food and Drug Administration–approved active cerebrospinal fluid exchange system that can irrigate up to 180 mL/h. The system is tightly secured, safe, and continuously monitors intracranial pressure, using a 9F dual-lumen catheter. Inserting an IRRAflow catheter is more complex than standard external ventricular drains, with a higher risk of cerebrospinal fluid leak or catheter displacement. Particularly, the extracranial component of the IRRAflow catheter insertion is prone to errors and necessitates dedicated training. We aimed to design an affordable, reusable, and easy-to-use 3-dimensional printed model that simulates the extracranial component of the IRRAflow catheter insertion. Methods: The IRRAsert simulator was designed according to recent publications. The skull was printed with polylactic acid, and the Kocher point was drilled. A mold was cast to make the scalp, and Dragon Skin FX-Pro Part A and Part B (Smooth-On, Inc) was used to create a skin flap to cover the drilled Kocher point. Results: The IRRAsert simulator replicated the external parts of the skull starting from the bone outward. It allowed measurements for designating the Kocher point, incising the skin to reveal the drilled Kocher point, tunneling under the scalp, and creating a 5-cm posterior exit incision. The endogenous property of the mixed 1:1 ratio between parts A and B allowed adhesion with the underlying skull due to the attraction between polylactic acid and silicone in a stick-and-peel fashion. This adhesion allowed for dissection of skin from the bone during tunneling for the catheter under the scalp, as well as lifting and rotating the scalp for the next user. The final cost of our simulator was $20 to print the skull permanently, with another $5 to produce the skin that can be rotated 3 times for 3 different users. Conclusion: IRRAsert is the result of multidisciplinary efforts to produce an affordable simulator for the extracranial component of IRRAflow catheter insertion.

The 2022 NFL rule change guaranteeing both teams possession in playoff overtime raised a strategic question: should the coin-toss winner receive or kick? We develop a Monte Carlo simulation framework focused on two asymmetric factors: sudden-death positioning (favoring receiving, since the receiver retains first possession if scores are matched) and information asymmetry (favoring kicking, since the kicker knows what is required before its possession). Across a wide range of offensive efficiencies (TD rates 15–35%, FG rates 7.5–27.5%), receiving is favored throughout; within the parameter space examined, no combination renders kicking optimal. At baseline parameters with optimal two-point conversion strategy, the receiving team wins 53.14% of simulated games (95% CI: 52.84%–53.44%), a receive advantage of +6.47 percentage points (95% CI: +5.87, +7.07). Among 16 decided games under current rules, receiving teams won 9 (56.3%; Wilson 95% CI: 33.2%–76.9%), a small sample compatible with simulation predictions but unable to establish them. Despite this simulated advantage, most coin-toss winners have elected to kick. We interpret the sudden-death positioning advantage as outweighing the information-asymmetry advantage, and suggest that the prevailing “information advantage” intuition may lead teams toward a strategy that underperforms in simulation.

This protocol paper details a single-center, randomized trial to compare greater occipital nerve blocks (GONBs) to multiple peripheral nerve blocks (MPNBs) for acute headache relief and prophylaxis in episodic migraine. GONBs are effective for the treatment and prevention of migraine, but a combination of trigeminal and occipital nerve blocks can be effective when GONBs alone have failed. To test this hypothesis, 60 adult participants will be randomized to receive either bilateral GONB or MPNBs of the bilateral greater occipital, lesser occipital, auriculotemporal, supraorbital, and supratrochlear nerves during an acute migraine with 0.5–1.25 mL bupivacaine 0.5%. Methylprednisolone 10–20 mg will be added only for the occipital nerves. Anesthesia in the distribution of each nerve block will be tested, and reinjection with bupivacaine will be performed until anesthesia is achieved. The primary endpoint will be pain freedom 20 min after injections. Secondary endpoints include pain freedom at 2 and 24 h, headache relief at 2 h, frequency and severity of subsequent migraine, and absenteeism from work/school/life events due to headaches over a 12-week follow-up period compared to a four-week run-in period. Trial Registration: The trial is registered at ClinicalTrials.gov (NCT04278573).