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Haemoglobin vesicles as artificial red blood cells developed for use as a transfusion alternative: an open-label, single-centre phase Ib study protocol in Japan

Por: Sakai · K. · Asada · K. · Watanabe · Y. · Azuma · H. · Sakai · H. · Kasahara · M. · Matsumoto · M.
Introduction

Haemoglobin vesicles (HbVs) (product name, NMU-HbVs [Nara Medical University-Haemoglobin Vesicles]), which contain purified human haemoglobin encapsulated within liposomes, have been developed as a potential alternative to blood transfusions in emergency situations. A previous phase I study examined doses up to 100 mL in 11 healthy volunteers. Here, we describe the protocol for a phase Ib study, wherein we will evaluate the safety and pharmacokinetics of NMU-HbV in healthy Japanese adults.

Methods and analysis

This single-centre, open-label, dose-escalation study will enrol 16 healthy volunteers divided into four cohorts. Planned doses are 100 mL for cohorts 1 and 2, 200 mL for cohort 3 and 400 mL for cohort 4, with infusion rates gradually increasing to a maximum of 5.0 mL/min. The primary endpoint will be safety, which will be assessed as the incidence of adverse events within 14 days and significant clinical changes within 72 hours after administration. Safety evaluations will include subjective symptoms, vital signs, electrocardiograms and laboratory test results compared with the baseline. The secondary endpoint will be pharmacokinetics, which will be assessed as changes in NMU-HbV concentration immediately after infusion until day 4 to determine the maximum blood concentration, time to reach the maximum blood concentration, area under the blood concentration-time curve and elimination half-life. This study will provide data on the safety and pharmacokinetic profiles of NMU-HbV at doses up to 400 mL. The findings are expected to support the further development of NMU-HbV as a viable alternative to emergency transfusions.

Ethics and dissemination

The study protocol was approved by the Institutional Review Board of Nara Medical University on 10 December 2024. Dissemination plans include publishing in peer-reviewed scientific journals and presentation at international conferences.

Trial registration number

Japan Registry of Clinical Trials (jRCT2051240249). Registered on 27 January 2025 (https://jrct.mhlw.go.jp/en-latest-detail/jRCT2051240249).

Determinants of treatment decisions in advanced dementia: a protocol for a cross-cultural mixed-methods study

Por: Lima · J. P. · Mbuagbaw · L. · Prasad · M. · Kumar · A. · Wafeu · G. S. · Bonnet · R. · Agoritsas · T. · Li · S. · Liu · Z. · Alonso-Coello · P. · Akio Nishijuka · F. · Mirza · R. · Matos Silva · C. · Alshanketi · R. · Alsahafi · I. · Alnuaimi · A. · Heen · A. F. · Schwartz · L. · Guyatt
Introduction

Values and preferences are key determinants of optimal care, and variability in patient values and preferences often dictates differences in patient management. Clinicians’ views of patients’ values and preferences may differ across cultural aspects and stage of training, but the extent to which this is the case remains uncertain. One key value and preference issue is the trade-off between quantity and quality of life, and this issue is particularly prominent among patients with dementia. We therefore propose to investigate the extent to which physicians’ perceptions of optimal management for patients living with advanced dementia may differ due to cross-cultural factors and stage of medical training.

Methods and analysis

We will conduct a sequential explanatory mixed-methods study (QUAN -> qual). First, we will administer paper-based or electronic surveys during educational sessions, conferences and rounds to medical students, residents and physicians in ten countries, either in person or online. Following that, a qualitative inquiry, guided by the findings of the quantitative study and the principles of the interpretive description design, will inform an in-depth exploration of the predictive factors identified in the quantitative data analysis.

Ethics and dissemination

The Hamilton Integrated Research Ethics Board at McMaster University has approved this study (approval number 2024-17651). We will disseminate our findings in peer-reviewed publications and present results at conferences as oral and poster presentations.

Does Self‐Compassion Play a Mediating Role Between Stress and Fertility Adjustment in Women Undergoing Infertility Treatment? A Structural Equation Analysis

ABSTRACT

Aim

This study aimed to investigate the relationship between stress, self-compassion, and fertility adjustment in women undergoing infertility treatment in Turkey and to determine whether stress influences fertility adjustment through the mediating effect of self-compassion.

Design

A cross-sectional and descriptive design was used in the study.

Method

The study was conducted with 290 women who applied to the in vitro fertilisation unit in a university hospital in Ankara, Turkey. Descriptive statistics, Pearson correlation, and structural equation analysis were used for statistical analysis.

Results

According to the results of structural equation modelling, self-compassion was found not to affect fertility adjustment, while infertility-related stress directly influenced both self-compassion and fertility adjustment. Additionally, self-compassion was not found to mediate the relationship between stress and fertility adjustment in women undergoing infertility treatment.

Conclusion

The findings suggest that different dynamics may contribute to women's infertility-related stress and fertility adjustment.

Implications for the Profession

This study highlights the importance of developing strategies to enhance fertility adjustment in women receiving infertility treatment and underscores the need for nurses working in this field to evaluate women's attitudes toward themselves to provide individualised care aimed at alleviating infertility-related stress.

Impact

The findings indicate that self-compassion does not have the expected effect in coping with infertility. Specifically, the lack of a direct effect of self-compassion on fertility adjustment, along with the strong influence of stress on both self-compassion and fertility adjustment, suggests that stress management-focused interventions may take precedence. These results indicate that approaches aimed at stress management during infertility treatment can play a critical role in supporting women's adjustment processes.

Reporting Method

STROBE guidelines were followed for this study.

Patient or Public Contribution

There is no patient or public contribution.

Sleep problems and associated risk factors among physicians in Bangladesh: a protocol for systematic review and meta-analysis of observational cross-sectional studies

Por: Rahman · M. · Islam Zahid · M. · Kabir · H. · Abdullah · I. · Saha · T. · Alam · U. K. · Shimu · A. T. · Uddin · M. N. · Ghimire · R.
Introduction

Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with 36% in the general population. In Bangladesh, reported rates range from 32% to 58%, with physicians being particularly vulnerable. Poor sleep among physicians is strongly linked to burnout, medical errors and increased mental health risks. Despite these serious implications, existing evidence from Bangladesh remains fragmented and inconsistent, limiting its utility for health policy and workforce interventions. This review therefore seeks to generate reliable pooled prevalence estimates and identify key determinants of sleep problems among Bangladeshi physicians.

Methods and analysis

The research team will search the PubMed, Scopus, Web of Science, EMBASE, PsycInfo, ProQuest Medical, CINAHL, Google Scholar and BanglaJOL electronic and regional databases following Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines for published studies from inception until 1 August 2025, using truncated and phrase-searched keywords, relevant medical subject headings and citation chaining from grey literature. Observational cross-sectional studies published within the predefined timeframe, using validated assessment tools, and published in English or other major international languages will be prioritised for inclusion. Review papers, case reports, case series, intervention studies, commentaries, preprints, meeting abstracts, protocols, unpublished articles and letters will be excluded. Two independent reviewers will screen the retrieved papers using the Rayyan web-based application, with any disagreements resolved by a third reviewer. Quantitative estimates of sleep problems, including prevalence, duration, quality and associated risk factors among Bangladeshi physicians will be extracted. A narrative synthesis and meta-analysis will be performed to assess the pooled prevalence using a random effects meta-analysis model. Forest and funnel plots will be generated for visualisation. Heterogeneity will be assessed using the I2 statistic, with sensitivity or subgroup analysis conducted as required. The quality of included studies will be evaluated using Joanna Briggs Institute critical appraisal tools for observational study designs. All statistical analysis will be conducted using Jamovi V2.7.6, R V4.3.2 ‘meta’ packages and GraphPad Prism V9.0.2.

Ethics and dissemination

This review will synthesise evidence from existing published literature. While completing the findings, the findings will be submitted to an international peer-reviewed journal and disseminated through conferences, policy forums and stakeholders’ networks to inform future research and interventions.

PROSPERO registration number

CRD420251123294.

Measuring and valuing patient and caregiver productivity costs: a scoping review protocol

Por: Yeretzian · S. T. · Sillcox · C. · Loshak · H. · Ramsay · L. · Sahakyan · Y. · Sander · B.
Introduction

Economic evaluations are essential for informing healthcare resource allocation. When conducted from a societal perspective, they may include productivity costs such as paid and unpaid productivity losses for patients and their caregivers. Although several methods exist to measure and value productivity costs, there is limited methodological consensus on which methods should be used. This scoping review aims to synthesise existing methods for measuring and valuing patient and caregiver productivity costs.

Methods and analysis

This review will follow the Arksey and O’Malley framework, enhanced by subsequent methodological guidance from Levac and the Joanna Briggs Institute. The six stages include identifying the research question; identifying relevant studies; selecting studies; charting the data; collating, summarising and reporting the results; and consultation. We will search MEDLINE, Embase and EconLit from 1996 to July 2025. Eligible sources will include peer-reviewed literature that reports methods for the measurement or valuation of productivity costs related to paid or unpaid work among patients or caregivers. Screening and data extraction will be conducted independently by two reviewers. Extracted data will include types of productivity costs, instruments used, valuation approaches, as well as recommendations on preferred measurement and valuation methods. Results will be synthesised thematically and reported using the Preferred Reporting Items for Systematic Review and Meta-Analysis for Scoping Reviews checklist.

Ethics and dissemination

Ethics approval is not required as this review will rely exclusively on publicly available literature and does not involve human participants or the use of primary data. The findings will first be shared with Canada’s Drug Agency as a report and then disseminated through peer-reviewed publication and academic presentations to inform future research and practice.

Registration

This protocol has been registered with the Open Science Framework (https://doi.org/10.17605/OSF.IO/FK9D4).

Intrauterine high-dose intravenous immunoglobulin therapy during pregnancy for women with a history of pregnancy ending in documented neonatal haemochromatosis (NH001): study protocol

Por: Sasaki · A. · Yachie · A. · Mizuta · K. · Takahashi · H. · Okada · N. · Toma · T. · Motomura · K. · Matsumoto · K. · Wada · Y. S. · Ito · Y. · Ito · R. · Kasahara · M. · Fukuda · A. · Inoue · E. · Yamaguchi · K. · Nakamura · H. · Wada · S. · Sako · M.
Introduction

Neonatal haemochromatosis, considered to be a gestational alloimmune liver disease (NH-GALD), is a rare but serious disease that results in fulminant hepatic failure. The recurrence rate of NH-GALD in a subsequent infant of a mother with an affected infant is 70%–90%. Recently, antenatal maternal high-dose intravenous immunoglobulin (IVIG) therapy has been reported as being effective for preventing recurrence of NH-GALD in a subsequent infant. However, no clinical trial has been conducted to date.

Methods and analysis

This is a multicentre open-label, single-arm study of antenatal maternal high-dose IVIG therapy in pregnant women with a history of documented NH in a previous offspring. The objective of this study is to evaluate the efficacy and safety of antenatal maternal high-dose IVIG therapy in preventing or reducing the severity of alloimmune injury to the fetal liver.

Ethics and dissemination

The clinical trial is being performed in accordance with the Declaration of Helsinki. The trial protocol was approved by the Clinical Research Review Board at four hospitals. Before enrolment, written informed consent would be obtained from eligible pregnant women. The results are expected to be published in a scientific journal.

Protocol version

28 October 2024, V.8.0.

Trial registration number

jRCT1091220353.

Epidemiology and risk factors of Alzheimers disease and related dementias in South and Southeast Asia: a systematic review and meta-analysis protocol

Por: Rahman · M. · Tabassum · A. · Sultana · S. · Saha · T. · Nayeem · M. A. J. · Jahan · I. · Hasan · I. · Hayat · S. · Papri · N. · Islam · Z.
Background

Alzheimer’s disease (AD) impacts over 55 million individuals worldwide and remains the leading cause of dementia (60–70% of cases). By 2050, South and Southeast Asia are projected to have an older adult population more than double, bearing a major share of Alzheimer’s disease burden. This will exert a heavy strain on healthcare systems, particularly in resource-limited countries where support and infrastructure are already stretched. Despite this, no review has yet explored the regional epidemiology and associated risk factors in this context. Thus, this study protocol outlines to synthesise prevailing evidence from these densely populated regions, particularly low- and middle-income nations within South and Southeast Asia.

Methods

This review will include studies that reported epidemiological characteristics including prevalence, age of onset, mortality, and risk factors of AD and related dementias comprising in South and Southeast Asian regions. Studies published in any language from inception to date will be extracted from PubMed, Scopus, CINAHL, EMBASE and APA PsycNet, following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. We will also search grey literature sources and screen the reference lists of the articles selected for full-text review to identify additional relevant studies. Observational studies including case–control, cohort, and cross-sectional designs reporting desired outcomes will be included and appraised for quality assessment with the modified Newcastle-Ottawa Scale (mNOS). The included articles will be appraised by two independent reviewers, with a third resolving any conflicts. Pooled estimates of prevalence, age of onset and mortality will be analysed using random effect meta-analysis (REML) model. Associated risk factors, including modifiable and non-modifiable will be narratively synthesised. Forest plots will be used to visualise the findings, and heterogeneity across the included studies will be assessed using the I² and Cochrane’s Q statistics. Potential publication bias will be assessed using a funnel plot along with the Begg’s and Egger’s tests. Sensitivity and subgroup analyses will also be conducted to assess the robustness of pooled estimates and to explore potential sources of heterogeneity. Statistical analysis will be conducted using Rstudio (v.4.3.2) and GraphPad Prism V.9.0.2.

Ethics and disseminations

The systematic review is focused on the analysis of secondary data from published literature; thus, no ethical approval will be needed. The protocol will follow international standard guidelines, findings will be reported in a reputed journal and disseminated through (inter)national conferences, webinars and key stakeholders to inform policy, research and AD management strategies.

PROSPERO registration number

CRD 420251047105.

Artificial Intelligence Applications in Healthcare: A Systematic Review of Their Impact on Nursing Practice and Patient Outcomes

ABSTRACT

Background

Artificial Intelligence is revolutionizing healthcare by addressing complex challenges and enhancing patient care. AI technologies, such as machine learning, natural language processing, and predictive analytics, offer significant potential to impact nursing practice and patient outcomes.

Aims

This systematic review aims to assess the impact of Artificial Intelligence applications in healthcare on nursing practice and patient outcomes. The goal is to evaluate the effectiveness of these technologies in improving nursing efficiency and patient care and to identify areas requiring further research.

Methods

This review, conducted in August 2024, followed PRISMA guidelines. We searched PubMed, GOOGLE SCHOLAR, and Web of Science for studies published up to August 2024. The inclusion criteria were original research on AI in nursing and healthcare practice published in English. A two-stage screening process was used to select relevant studies, which were then analyzed for their impact on nursing practice and patient outcomes.

Results

A total of 5975 studies were surveyed from the previously mentioned databases, which met the inclusion criteria. Findings show that AI applications, including machine learning, robotic process automation, and natural language processing, have improved diagnostic accuracy, patient management, and operational efficiency. Machine learning enhanced disease detection, reduced administrative tasks for nurses, NLP improved documentation accuracy, and physical robots increased patient safety and comfort. Challenges identified include data privacy concerns, integration into existing workflows, and methodological variability.

Conclusion

AI technologies have substantially improved nursing practice and patient outcomes. Addressing challenges related to data privacy and integration, as well as standardizing methodologies, is essential for optimizing AI's potential in healthcare. Further research is needed to explore the long-term impacts, cost-effectiveness, and ethical implications of Artificial Intelligence in this field.

Clinical Relevance

Artificial Intelligence (AI) is revolutionizing healthcare by enhancing nursing practices and improving patient outcomes. Tools such as Clinical Decision Support Systems (CDSS), predictive analytics, robotic process automation (RPA), and remote monitoring empower nurses to make informed decisions, optimize workflows, and monitor patients more effectively. AI enhances decision-making, boosts efficiency, and facilitates personalized care, while aiding in early detection and real-time data analysis. It also contributes to better nurse education and patient safety by minimizing errors and enabling remote consultations. However, for AI to be successfully integrated into healthcare, it is essential to tackle challenges related to training, ethical considerations, and data privacy to guarantee its effective implementation and positive impact on the quality and safety of healthcare.

Effectiveness of Virtual Reality Simulation Among BSN Students: A Meta-analysis of Randomized Controlled Trials

imageThis study aimed to evaluate the effect of virtual reality simulation in nursing education in five domains: knowledge, skill performance, self-confidence, self-efficacy, and satisfaction. Randomized controlled trials were obtained from the databases SCOPUS, Web of Science, PubMed, and EBSCO from inception until September 2021. The standardized mean differences with 95% confidence intervals were determined for the main variables, and heterogeneity was analyzed using the I2 test. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Checklist was used. Meta-analysis was performed using the Stata 15.0 software. Among the 2074 records identified, 18 trials were included. The meta-analysis of these trials indicated that virtual reality simulation caused a significant improvement in knowledge with a moderate effect, skill performance with a moderate effect, and satisfaction with a moderate effect compared with the control group. However, virtual reality simulation did not significantly influence self-confidence and self-efficiency. The findings of this study suggested that virtual reality simulation might significantly benefit knowledge, skill performance, and satisfaction but not self-confidence and self-efficiency. Further well-designed randomized controlled trials with a larger sample size are recommended to confirm these findings.
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