Integrating Deep Learning-Based Dose Distribution Prediction with Bayesian Networks for Decision Support in Radiotherapy for Upper Gastrointestinal cancer.

Purpose: Selecting the better techniques to harbor optimal motion management, either a stereotactic linear accelerator delivery using TrueBeam (TBX) or Magnetic Resonance (MR)-guided gated delivery using MRIdian (MRG), is time-consuming and costly. To address this challenge, we aimed to develop a decision-supporting algorithm based on a combination of deep learning-generated dose distributions and clinical data. Materials and Methods: We retrospectively analyzed 65 patients with liver or pancreatic cancer who underwent both TBX and MRG simulations and planning process. We trained three-dimensional U-Net deep learning models to predict dose distributions and generated dose volume histograms (DVHs) for each system. We integrated predicted DVH metrics into a Bayesian network (BN) model incorporating clinical data. Results: The MRG prediction model outperformed the TBX model, demonstrating statistically significant superiorities in predicting normalized dose to the PTV and liver. We developed a final BN prediction model integrating the predictive DVH metrics with patient factors like age, PTV size, and tumor location. This BN model an area under the receiver operating characteristic curve index of 83.56%. The decision tree derived from the BN model showed that the tumor location (abutting vs. apart of PTV to hollow viscus organs) was the most important factor to determine TBX or MRG. Conclusion: We demonstrated a decision-supporting algorithm for selecting optimal RT plans in upper gastrointestinal cancers, incorporating both deep learning-based dose prediction and BN-based treatment selection. This approach might streamline the decision-making process, saving resources and improving treatment outcomes for patients undergoing RT.

Impact of planned delivery mode on neonatal outcomes and costs in twin pregnancies in Kenya.

Background: Twin pregnancies are associated with higher risks of adverse neonatal outcomes compared to singleton pregnancies. The choice of delivery mode, when twin A presents cephalic, remains a subject of debate. In low- and middle-income countries, where healthcare resources are limited, the decision on the mode of delivery is even more critical. Objective: To evaluate the neonatal outcomes and the hospital costs of planned vaginal delivery compared to cesarean section (CS) in twin pregnancies with twin A presenting cephalic at Tenwek Hospital, Kenya. Study Design: This retrospective cohort study analyzed data from all twin deliveries at Tenwek Hospital, Kenya from, April 1, 2017, to March 30, 2023. Maternal data, mode of delivery, and neonatal data were collected from delivery logs, electronic health records, and neonatal records. Neonatal outcomes were a composite of either Appearance, Pulse, Grimace, Activity, and Respiration score less than seven at 5 minutes, neonatal intensive care unit admission, resuscitation, birth trauma, or neonatal complications, including death before discharge from the hospital. A logistic regression model was created to assess the impact of the planned mode of delivery on neonatal outcomes, controlling for antenatal care clinic visits, noncephalic presentation of twin B, and birth weight category. Results: The study included 177 twin deliveries: 129 (72.9%) were planned as vaginal deliveries and 48 (27.1%) were planned for CS. Among the planned vaginal deliveries, 66 (51.2%) experienced adverse outcomes, compared to 14 (29.2%) in the CS group (P=.009). Logistic regression showed that the odds of adverse outcomes were 0.35 times lower in the CS group compared to the planned vaginal delivery group (95% CI: 0.15-0.83; P=.017). The average total hospital costs for planned vaginal delivery were 104,608 Kenya Shillings (standard deviation 111,761) compared to 100,708 Kenya Shillings (standard deviation 75,468) for CS (P=.82). Conclusion: Planned cesarean deliveries in twin pregnancies with twin A presenting cephalic at Tenwek Hospital were associated with fewer adverse neonatal outcomes compared to planned vaginal deliveries. There was no significant difference in hospital costs. These findings raise the question of the safest mode of delivery for patients in a resource-constrained setting.

Impact of 1.5†T Magnetic Field on Treatment Plan Quality in MR-Guided Radiotherapy: Typical Phantom Test Cases.

PURPOSE: This study aims to investigate the influence of the magnetic field on treatment plan quality using typical phantom test cases, which encompass a circle target test case, AAPM TG119 test cases (prostate, head-and-neck, C-shape, multi-target test cases), and a lung test case. MATERIALS AND METHODS: For the typical phantom test cases, two plans were formulated. The first plan underwent optimization in the presence of a 1.5 Tesla magnetic field (1.5 T plan). The second plan was re-optimized without a magnetic field (0 T plan), utilizing the same optimization conditions as the first plan. The two plans were compared based on various parameters, including con-formity index (CI), homogeneity index (HI), fit index (FI) and dose coverage of the planning target volume (PTV), dose delivered to organs at risk (OARs) and normal tissue (NT), monitor unit (MU). A plan-quality metric (PQM) scoring procedure was employed. For the 1.5 T plans, dose verifications were performed using an MR-compatible ArcCHECK phantom. RESULTS: A smaller dose influence of the magnetic field was found for the circle target, prostate, head-and-neck, and C-shape test cases, compared with the multi-target and lung test cases. In the multi-target test case, the significant dose influence was on the inferior PTV, followed by the superior PTV. There was a relatively large dose influence on the PTV and OARs for lung test case. No statistically significant differences in PQM and MUs were observed. For the 1.5 T plans, gamma passing rates were all higher than 95% with criteria of 2 mm/3% and 2 mm/2%. CONCLUSION: The presence of a 1.5 T magnetic field had a relatively large impact on dose parameters in the multi-target and lung test cases compared with other test cases. However, there were no significant influences on the plan-quality metric, MU and dose accuracy for all test cases.

The PRIME-NL study: evaluating a complex healthcare intervention for people with Parkinson's disease in a dynamic environment.

BACKGROUND: An innovative, integrative care model for people with Parkinson (PRIME Parkinson) has gradually been implemented in a selected region of the Netherlands since 2021. A prospective evaluation of this model (PRIME-NL study) was initiated in parallel, spanning the year prior to implementation (baseline) and the implementation period. Following publication of the original study protocol, the COVID-19 crisis delayed implementation of the full PRIME Parkinson care model by two years and hampered the recruitment of study participants. OBJECTIVE: To describe which methodological adjustments were made to the study protocol because of these developments. METHODS: We compare various outcomes between a region where PRIME Parkinson care was implemented (innovation region) versus the rest of the Netherlands (usual care region). We use healthcare claims data of virtually all people with Parkinson in the Netherlands and annual questionnaires in a representative subsample of 984 people with Parkinson, 566 caregivers and 192 healthcare professionals. Four major methodological adjustments had to be made since publication of the original protocol. First, we extended the evaluation period by two years. Second, we incorporated annual process measures of the stage of implementation of the new care model. Third, we introduced a real-time iterative feedback loop of interim results to relevant stakeholders. Fourth, we updated the statistical analysis plan. DISCUSSION: This manuscript provides transparency in how the design and analyses of the evaluation study had to be adapted to control for external influences in a dynamic environment, including eruption of the COVID-19 crisis. Our solutions could serve as a template for evaluating other complex healthcare interventions in a dynamic environment.

The concept of cognitive readiness: potential solution and opportunity for the Malaysian army.

This paper focuses on exploring the potential solution and opportunity in the development of the Malaysian Army Transformation Plan by using the concept of Cognitive Readiness (CR). Here, the concept of CR equipped the military personnel to be cognitively ready to perform their role in military operations. The main aim of the paper is to highlight the fundamental discourse of 'what is cognitive readiness' in discovering the potential solution and opportunity in the development of the Malaysian Army Transformation Plan. The paper suggests that the strategy for transformation may start at the tactical level by focusing on enhancing the military personnel's CR. The study proposed that the Malaysian Army Organization prepare the military personnel with Knowledge, Skills and Abilities (KSA). KSA are important to boost the military personnel to have a distinctive character such as thinking critically, problem-solving and decision-making to perform effectively during military operations. In this preliminary study, the paper proposed a Framework for Tactical Cognitive Readiness (TCR) as a potential solution and opportunity for the Malaysian Army.

Multi-institutional investigation into the robustness of intra-cranial multi-target stereotactic radiosurgery plans to patient setup errors.

PURPOSE: This study aimed to analyse correlations between planning factors including plan geometry and plan complexity with robustness to patient setup errors. METHODS: Multiple-target brain stereotactic radiosurgery (SRS) plans were obtained through the Trans-Tasman Radiation Oncology Group (TROG) international treatment planning challenge (2018). The challenge dataset consisted of five intra-cranial targets with a 20 Gy prescription. Setup error was simulated using an in-house tool. Dose to targets was assessed via dose covering 99 % (D99 %) of gross tumour volume (GTV) and 98 % of planning target volume (PTV). Dose to organs at risk was assessed using volume of normal brain receiving 12 Gy and maximum dose covering 0.03 cc of brainstem. Plan complexity was assessed via edge metric, modulation complexity score, mean multi-leaf collimator (MLC) gap, mean MLC speed and plan modulation. RESULTS: Even for small (0.5 mm/°) errors, GTV D99 % was reduced by up to 20 %. The strongest correlation was found between lower complexity plans (larger mean MLC gap and lower edge metric) and higher robustness to setup error. Lower complexity plans had 1 %-20 % fewer targets/scenarios with GTV D99 % falling below the specified tolerance threshold. These complexity metrics correlated with 100 % isodose volume sphericity and dose conformity, though similar conformity was achievable with a range of complexities. CONCLUSIONS: A higher level of importance should be directed towards plan complexity when considering plan robustness. It is recommended when planning multi-target SRS, larger MLC gaps and lower MLC aperture irregularity be considered during plan optimisation due to higher robustness should patient positioning errors occur.

Nutritional management of hyperlipaemia in a jenny: a brief report.

An adult jenny (5-years-old, non-pregnant) was presented to the Veterinary Teaching Hospital (VTH) of the University of Sassari, with a recent history of appetite loss, extreme underweight condition and reluctance to move. On physical inspection, emaciation [body condition score, BCS: 3/9], muscular waste [muscular condition score, MCS: 1/5], loose/running faeces [faecal score, FS: 2/8], and a general state of mild dehydration were found. Blood analyses outlined a general undernourishment condition [circulating albumins, ALB: 17.6 g/L (21.6-31.6 g/L)] with underlying systemic inflammatory profile and moderate increase in circulating enzymes to explore liver function [aspartate amino-transferase, AST: 657 u/L (279-430 u/L); alanine amino-transferase ALT: 60 u/L (5-14 u/L); gamma-glutamyl-transferase, γ-GT: 87 IU/L (14-69 IU/L); total bilirubin close to the upper limit, TB: 0.20 mg/dL(0.07-0.21 mg/dL)]and hyperlipaemia [TG: 8.70 mmol/L (0.60-2.87 mmol/L)], following fat depots mobilisation, with total cholesterol closed to the lower limit of the physiological range. Hyper-phosphataemia was linked to haemolytic anaemia [P:1.81 mmol/L (0.77-1.39 mmol/L) and red blood cells, RBC: 4.14 1012/L (4.40-7.10 1012)] aligned with the TB to the upper limit. On ultrasound abdominal imaging, enlarged and hyper-echogenic liver was observed. Based on the clinical evaluation, a condition of hepatic lipidosis was diagnosed, requiring dedicated nutritional treatment to solve the extreme emaciation along with the metabolic disorder in support of medical therapy. A two-step feeding protocol was planned to support treatments aiming at immediate re-hydration (Ringer lactate solution 2 ml/kg/8 h). The nutritional objectives were meant at first to restart the voluntary feed intake. Gradual increasing energy provision through a palatable hay-based diet was planned to cover one fourth of daily metabolizable energy requirement calculated on the expected metabolic weight, adjusted according to the daily intake of feed and clinical condition. At the conclusion of this first 7-day phase, circulating blood parameters were closer to the reference values and the BCS moved from 3 to 4 out of 9. Bowel motility was restored, and faecal score improved (4/8). In the second phase, allowance to pasture and a combination diet with compound mixed feed were designed. Within four weeks of starting the nutritional plan, blood parameters were re-established to reference values. The gradual feed provision calculated in this two-phase approach proved successful in support of the overall clinical improvement observed after four weeks of treatment, in a severely undernourished jenny with compromised liver functions.

Application of the "Plan-Do-Check-Action" plan in improving the pass rate of the "National Medical Licensing Examination".

BACKGROUND: The National Medical Licensing Examination (NMLE) is the only objective, standardized metric to evaluate whether a medical student possessing the professional knowledge and skills necessary to work as a physician. However, the overall pass rate of NMLE in our hospital in 2021 was much lower than that of Peking Union Medical College Hospital, which was required to be further improved. METHODS: To find the reasons for the unsatisfactory performance in 2021, the quality improvement team (QIT) organized regular face-to-face meetings for in-depth discussion and questionnaire, and analyzed the data by "Plato analysis" and "Brainstorming method". After finding out the reasons, the "Plan-Do-Check-Action" (PDCA) cycle was continued to identify and solve problems, which included the formulation and implementation of specific training plans by creating the "Gantt charts", the check of effects, and continuous improvements from 2021 to 2022. Detailed information about the performance of students in 2021 and 2022, and the attendance, assessment, evaluation and suggestions from our hospital were provided by the relevant departments, and the pass rate-associated data was collected online. RESULTS: After the PDCA plan, the pass rate of NMLE in our hospital increased by 10.89% from 80.15% in 2021 to 91.04% in 2022 (P = 0.0109), with the pass rate of skill examination from 95.59% in 2021 to 99.25% in 2022 (P = 0.0581) and theoretical examination from 84.5% in 2021 to 93.13% in 2022 (P = 0.027). Additionally, the mean scores of all examinees increased with the theoretical examination score increasing from 377.0 ± 98.76 in 2021 to 407.6 ± 71.94 in 2022 (P = 0.004). CONCLUSIONS: Our results showed a success application of the PDCA plan in our hospital which improved the pass rate of the NMLE in 2022, and the PDCA plan may provide a practical framework for future medical education and further improve the pass rate of NMLE in the next year.

Homelessness and housing problems in admitted psychiatric patients in Flanders, Belgium.

Homelessness in psychiatric patients in Flanders, Belgium, has never been investigated. Advocacy groups from patients with lived experience of psychiatric disorders have sounded the alarm on the scarcity of suitable housing options, the strain on psychiatric institutions, and the challenges faced by social service workers. To investigate the extent of the problem a survey on the topic was initiated. A "homelessness-in-mental-health-questionnaire" was designed by experts in the field. The social services of all Flemish psychiatric hospitals and all psychiatric wards in general hospitals were contacted and invited to complete this survey. 24 of 70 contacted services responded. The total number of homeless patients in the inpatient setting on an annual basis are estimated to an average 19.5%. 18% of homeless patients remain longer in admission due to the lack of housing options. 13.7% of homeless psychiatric patients are referred to a community care facility such as an assisted living facility. Social service respondents reported spending an average of 27.4% of their work time on housing issues. The main focus points according to the respondents are the lack of priority measures for homeless psychiatric patients, psychiatric problems as a barrier to housing options and the shortage of adapted housing capacity. The conclusion of this study is the need for comprehensive policy interventions to ensure an adequate supply of suitable social housing for psychiatric patients, accessible mental health care, alternative housing options and crisis accommodation facilities. We propose a 10-point action plan on housing for psychiatric patients for policymakers and politicians.

Effect of different optimization parameters in single isocenter multiple brain metastases radiosurgery.

PURPOSE: Automated treatment planning for multiple brain metastases differs from traditional planning approaches. It is therefore helpful to understand which parameters for optimization are available and how they affect the plan quality. This study aims to provide a reference for designing multi-metastases treatment plans and to define quality endpoints for benchmarking the technique from a scientific perspective. METHODS: In all, 20 patients with a total of 183 lesions were retrospectively planned according to four optimization scenarios. Plan quality was evaluated using common plan quality parameters such as conformity index, gradient index and dose to normal tissue. Therefore, different scenarios with combinations of optimization parameters were evaluated, while taking into account dependence on the number of treated lesions as well as influence of different beams. RESULTS: Different scenarios resulted in minor differences in plan quality. With increasing number of lesions, the number of monitor units increased, so did the dose to healthy tissue and the number of interlesional dose bridging in adjacent metastases. Highly modulated cases resulted in 4-10% higher V10% compared to less complex cases, while monitor units did not increase. Changing the energy to a flattening filter free (FFF) beam resulted in lower local V12Gy (whole brain-PTV) and even though the number of monitor units increased by 13-15%, on average 46% shorter treatment times were achieved. CONCLUSION: Although no clinically relevant differences in parameters where found, we identified some variation in the dose distributions of the different scenarios. Less complex scenarios generated visually more dose overlap; therefore, a more complex scenario may be preferred although differences in the quality metrics appear minor.

Generating 3D images of VMAT plans for predictive models and activation maps associated with plan deliverability.

BACKGROUND: Intensity modulation with dynamic multi-leaf collimator (MLC) and monitor unit (MU) changes across control points (CPs) characterizes volumetric modulated arc therapy (VMAT). The increased uncertainty in plan deliverability required patient-specific quality assurance (PSQA), which remained inefficient upon Quality Assurance (QA) failure. To prevent waste before QA, plan complexity metrics (PCMs) and machine learning models with the metrics were generated, which were lack of providing CP-specific information upon QA failures. PURPOSE: By generating 3D images from digital imaging and comminications in medicine in radiation therapy (DICOM RT) plan, we proposed a predictive model that can estimate the deliverability of VMAT plans and visualize CP-specific regions associated with plan deliverability. METHODS: The patient cohort consisted of 259 and 190 cases for left- and right-breast VMAT treatments, which were split into 235 and 166 cases for training and 24 cases from each treatment for testing the networks. Three-channel 3D images generated from DICOM RT plans were fed into a DenseNet-based deep learning network. To reflect VMAT plan complexity as an image, the first two channels described MLC and MU variations between two consecutive CPs, while the last channel assigned the beam field size. The network output was defined as binary classified PSQA results, indicating deliverability. The predictive performance was assessed by accuracy, sensitivity, specificity, F1-score, and area under the curve (AUC). The gradient-weighted class activation map (Grad-CAM) highlighted the regions of CPs in VMAT plans associated with deliverability, compared against PCMs by Spearman correlation. RESULTS: The DenseNet-based predictive model yielded AUCs of 92.2% and 93.8%, F1-scores of 97.0% and 93.8% and accuracies of 95.8% and 91.7% for the left- and right-breast VMAT cases. Additionally, the specificity of 87.5% for both cases indicated that the predictive model accurately detected QA failing cases. The activation maps significantly differentiated QA failing-labeled from passing-labeled classes for the non-deliverable cases. The PCM with the highest correlation to the Grad-CAM varied from patient cases, implying that plan deliverability would be considered patient-specific. CONCLUSION: This work demonstrated that the deep learning-based network based on visualization of dynamic VMAT plan information successfully predicted plan deliverability, which also provided control-point specific planning parameter information associated with plan deliverability in a patient-specific manner.

Estimated compared with actual plans of paediatric dental treatment performed under deep sedation: A retrospective cohort study.

BACKGROUND: Planning the extent of paediatric dental treatment under deep sedation is highly important, as the duration of the sedation should be limited to approximately 1 h, and the amount of local anesthesia is limited by the children's body weight. AIM: To compare treatment plans estimated at initial examinations with actual dental treatments under intravenous deep sedation. We examined factors that could affect the differences. DESIGN: For this retrospective cohort study, data were collected from the medical records of all the children younger than 18 years who underwent dental treatment under intravenous deep sedation during 2019-2021 at the Department of Pediatric Dentistry. RESULTS: In total, 108 children were included. During the actual versus the estimated treatment under deep sedation, more teeth were treated (p < .001), and the treatment was more complex (p < .001). A longer waiting period for dental treatment was found to be correlated with a greater number of treated teeth than was estimated (p = .003) and with greater complexity of the actual than the estimated treatment (p = .003). CONCLUSION: Actual compared with estimated dental treatment under deep sedation involved more teeth and was of greater complexity. This suggests that referrals should include children with limited estimated treatment plans.

Evaluation and clinical application of a bracketing calibration-based isotope dilution liquid chromatography-tandem mass spectrometry candidate reference measurement procedure for serum theophylline.

A candidate reference measurement procedure (RMP) for serum theophylline via isotope dilution liquid chromatography-tandem mass spectrometry (LC-MS/MS) was developed. With a single-step precipitation pretreatment and a 6-min gradient elution, the method achieved baseline separation of theophylline and its analogs on a C18-packed column. A bracketing calibration method was used to ensure repeatable signal intensity and high measurement precision. The intra-assay and inter-assay imprecisions were 1.06%, 0.84%, 0.72% and 0.47%, 0.41%, 0.25% at concentrations of 4.22 µg/mL (23.40 µmol/L), 8.45 µg/mL (46.90 µmol/L), and 15.21 µg/mL (84.43 µmol/L), respectively. Recoveries ranged from 99.35 to 102.34%. The limit of detection (LoD) was 2 ng/mL, and the lowest limit of quantification (LLoQ) was 5 ng/mL. The linearity range extended from 0.47 to 60 µg/mL (2.61-333.04 µmol/L). No ion suppression and carry-over (< 0.68%) were observed. The relative bias for this candidate RMP that participated in 2023 External Quality Control for Reference Laboratories (RELA) conducted by the International Federation of Clinical Chemistry (IFCC) was within a range of 0.17 to 0.93%. Furthermore, two clinical immunoassay systems were compared with this candidate RMP, demonstrating good correlations. The results of the Trueness Verification Plan indicate significant differences among routine systems, highlighting the need for standardization efforts. The developed candidate RMP for serum theophylline serves as a precise reference baseline for standardizing clinical systems and assigning values to reference materials.

Palliative care national plan implementation through stakeholder analysis.

BACKGROUND: National palliative care plans depend upon stakeholder engagement to succeed. Assessing the capability, interest, and knowledge of stakeholders is a crucial step in the implementation of public health initiatives, as recommended by the World Health Organisation. However, utilising stakeholder analysis is a strategy underused in public palliative care. OBJECTIVE: To conduct a stakeholder analysis characterising a diverse group of stakeholders involved in implementing a national palliative care plan in three rural regions of an upper-middle-income country. METHODS: A descriptive cross-sectional study design, complemented by a quantitative stakeholder analysis approach, was executed through a survey designed to gauge stakeholders' levels of interest and capability in relation to five fundamental dimensions of public palliative care: provision of services, accessibility of essential medicines, palliative care education, financial support, and palliative care vitality. Stakeholders were categorised as promoters (high-power, high-interest), latent (high-power, low-interest), advocates (low-power, high-interest), and indifferent (low-power and low-interest). Stakeholder self-perceived category and knowledge level were also assessed. RESULTS: Among the 65 surveyed stakeholders, 19 were categorised as promoters, 34 as advocates, 9 as latent, and 3 as indifferent. Stakeholders' self-perception of their category did not align with the results of the quantitative analysis. When evaluated by region and palliative care dimensions the distribution of stakeholders was nonuniform. Palliative care funding was the dimension with the highest number of stakeholders categorised as indifferent, and the lowest percentage of promoters. Stakeholders categorised as promoters consistently reported a low level of knowledge, regardless of the dimension, region, or their level of interest. CONCLUSIONS: Assessing the capability, interest, and knowledge of stakeholders is a crucial step when implementing public health initiatives in palliative care. It allows for a data-driven decision-making process on how to delegate responsibilities, administer financial resources, and establish governance boards that remain engaged and work efficiently.

Lifetime use of multiple substances and youth suicide risk: assessing the role of depressive symptoms using structural equation modeling.

OBJECTIVES: This study assessed the direct and indirect effects (via depressive symptoms) of lifetime use of a broad range of substances on suicide risk among US adolescents. STUDY DESIGN: This was a cross-sectional study. METHODS: Data from the 2021 Youth Risk Behavior Survey were used (N = 12,303, 48.7% female). Associations between five types of substance use (cigarette, e-cigarette, alcohol, marijuana, and prescription pain medicine) and three dimensions of suicide risk (suicidal ideation, suicide plan, and suicide attempt) were measured by multivariate logistic regression models. The role of depressive symptoms was further examined by structural equation modeling. RESULTS: Almost three in five (57.5%) adolescents had used one or more substances in their lifetime (18.1% one type, 12.2% two types, 13.1% three types, 10.2% four types, and 3.8% five types). Adolescents using five substances were up to 16 times more likely to experience suicidal ideation and behaviors. Depressive symptoms significantly linked the pathway from substance use to suicide risk, resulting in much stronger indirect effects than the direct effects. Collectively, the five substance use behaviors and depressive symptoms explained about 60.4% of variance in suicidal ideation, 53.6% of variance in suicide plan, and 55.0% of variance in suicide attempt. CONCLUSIONS: Lifetime use of multiple substances is significantly correlated with suicidal ideation and behaviors among adolescents via the pathway of depressive symptoms. Routine screening for a broad range of substance use behaviors is needed to identify adolescents at risk for suicide and accessible mental health services could potentially attenuate the linkage between substance use and suicide risk.

Koolen-de Vries Syndrome: a journey from diagnosis to treatments.

The Koolen-de Vries Syndrome Foundation was founded in 2013 with the mission to educate, increase awareness, promote research and develop treatments for individuals living with Koolen-de Vries Syndrome (KdVS) and their families. With this aim, the foundation has focused on: developing scientific resources through patient cell and animal models, providing seed funding to basic and clinical researchers, establishing a natural history study of KdVS and increasing patient engagement. Projects have been prioritized across these areas of focus with an emphasis on expanding international research on KdVS, supporting translational research, establishing an international natural history study and conducting studies to assess patient priorities. With the incredible growth amongst our research and patient community in the last decade, our goal is to have our first clinical trial for KdVS in 2026.

Koolen de-Vries Syndrome: a journey from diagnosis to treatments The Koolen-de Vries Syndrome Foundation ('KdVSF') was founded in 2013 with the mission to develop treatments for all individuals diagnosed with KdVS. With this aim, we have focused on several research priorities for our community: developing cell and animal models for KdVS for our researchers to utilize for experiments, providing research grants to KdVS basic and clinical researchers, establishing a natural history study of KdVS and increasing patient engagement and diversity. The KdVS research and patient community has expanded tremendously over the last decade, and there is growing excitement over the possible treatments currently being investigated amongst KdVS researchers. With our current focus on translational research and research aimed at identifying treatment strategies in KdVS patients, our goal is to have our first clinical trial for KdVS in late 2026.

The Brazilian National Plan to Combat Marine Litter: A critical assessment.

The Brazilian National Plan to Combat Marine Litter was launched in March 2019 and in its context, 577 campaigns were carried out to clean up beaches, rivers, estuaries and mangroves, until January 2023, at an estimated cost of US$ 16,733,000.00. The volume collected in four years represented only 0.0041 % of the total solid waste discharged annually in the maritime waters under the country's jurisdiction. The direct benefit to society was only US$ 173,751.41 at market value for the litter collected. Litter lesser than 2.5 cm was left out, not been characterized. The results achieved deserve reflection and critical evaluation, in order to allow improvements, serving as reference. The participation of around 43,000 people in cleanup campaigns is an indication of environmental citizenship and an asset that cannot be overlooked by managers, demanding focus, tangible results and benefits in terms of environmental quality, well-being and savings on public cleaning services costs.

[Impact of the implementation of the international best practice guidelines programme (BPSO®) on health outcomes in a public hospital]. / Impacto de la implantación del programa internacional de Guías de Buenas Prácticas (BPSO®) en los resultados de salud en un hospital público.

OBJECTIVE: To analyze the impact on patient health outcomes after implementing 4 Good Practice Guidelines (GPG) in a level II public university hospital. METHOD: A quasi-experimental pre-post study was carried out at the Hospital Universitario Fundación Alcorcón, belonging to the Servicio Madrileño de Salud (SERMAS) of the Community of Madrid. Anonymized patient health indicator data from February 2018 to December 2022 from a total of 4853 patient records were analyzed. Inclusion criteria all patients defined in the scope of each GBP. The sample analyzed was patients discharged in the last 5 working days of the month for all GBPs, except in Ostomy and Stroke, for which 100% of patients discharged during the month were included. RESULTS: The main results were: incidence of pressure injury from 2.70% (2017) to 1.03% (2022); stoma marking from 66.67% (2017) to 75% (2022); exclusive breastfeeding from 50% (2017) to 61.54% (2022); neurological assessment on admission from 75.56% (2017) to 85.60% (2022). CONCLUSIONS: The implementation of the GBPs led to an improvement in the health indicators of patients admitted to the target units. Improvements were observed in both process and outcome indicators.

Multi-institutional experimental validation of online adaptive proton therapy workflows.

Objective.To experimentally validate two online adaptive proton therapy (APT) workflows using Gafchromic EBT3 films and optically stimulated luminescent dosimeters (OSLDs) in an anthropomorphic head-and-neck phantom.Approach.A three-field proton plan was optimized on the planning CT of the head-and-neck phantom with 2.0 Gy(RBE) per fraction prescribed to the clinical target volume. Four fractions were simulated by varying the internal anatomy of the phantom. Three distinct methods were delivered: daily APT researched by the Paul Scherrer Institute (DAPTPSI), online adaptation researched by the Massachusetts General Hospital (OAMGH), and a non-adaptive (NA) workflow. All methods were implemented and measured at PSI. DAPTPSIperformed full online replanning based on analytical dose calculation, optimizing to the same objectives as the initial treatment plan. OAMGHperformed Monte-Carlo-based online plan adaptation by only changing the fluences of a subset of proton beamlets, mimicking the planned dose distribution. NA delivered the initial plan with a couch-shift correction based on in-room imaging. For all 12 deliveries, two films and two sets of OSLDs were placed at different locations in the phantom.Main results.Both adaptive methods showed improved dosimetric results compared to NA. For film measurements in the presence of anatomical variations, the [min-max] gamma pass rates (3%/3 mm) between measured and clinically approved doses were [91.5%-96.1%], [94.0%-95.8%], and [67.2%-93.1%] for DAPTPSI, OAMGH, and NA, respectively. The OSLDs confirmed the dose calculations in terms of absolute dosimetry. Between the two adaptive workflows, OAMGHshowed improved target coverage, while DAPTPSIshowed improved normal tissue sparing, particularly relevant for the brainstem.Significance.This is the first multi-institutional study to experimentally validate two different concepts with respect to online APT workflows. It highlights their respective dosimetric advantages, particularly in managing interfractional variations in patient anatomy that cannot be addressed by non-adaptive methods, such as internal anatomy changes.

Transfer of internationally qualified nurses' specialty skills to developed countries after immigration: A multicentre policy review.

BACKGROUND: Internationally qualified nurses are highly sought after as a labour source due to continued shortages in the nursing profession in most developed countries. However, the lack of clear policies and procedures for nurses in the host country to use specialty nursing skills can result in the underutilisation of their expertise. OBJECTIVES: To review the registration processes of internationally qualified nurses in 20 developed countries, with a focus on the transferability of specialised skills gained overseas. METHODS: A multicentre policy review design was used, using the STROBE reporting guidelines. The study sourced policy information from nurse registration bodies in developed countries and reviewed and removed redundant policies. RESULTS: Out of 34 policies initially identified, 26 were used to show the registration process of nurses after immigration to developed countries. Only four of the 20 countries reviewed indicated the option of specialised nurse registration on their website for internationally qualified nurses, with a university qualification required before years of experience. All other countries indicated the general registration pathway only. IMPLICATIONS FOR NURSING POLICY: More attention is needed to address the lack of well-defined policies that guide the utilisation of internationally qualified nurses' specialised skills. Transparent procedures are essential to fully benefit from their expertise in the host country's health workforce.