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Specific nanoprobe design for MRI: Targeting laminin in the blood-brain barrier to follow alteration due to neuroinflammation

by Juan F. Zapata-Acevedo, Mónica Losada-Barragán, Johann F. Osma, Juan C. Cruz, Andreas Reiber, Klaus G. Petry, Amael Caillard, Audrey Sauldubois, Daniel Llamosa Pérez, Aníbal José Morillo Zárate, Sonia Bermúdez Muñoz, Agustín Daza Moreno, Rafaela V. Silva, Carmen Infante-Duarte, William Chamorro-Coral, Rodrigo E. González-Reyes, Karina Vargas-Sánchez

Chronic neuroinflammation is characterized by increased blood-brain barrier (BBB) permeability, leading to molecular changes in the central nervous system that can be explored with biomarkers of active neuroinflammatory processes. Magnetic resonance imaging (MRI) has contributed to detecting lesions and permeability of the BBB. Ultra-small superparamagnetic particles of iron oxide (USPIO) are used as contrast agents to improve MRI observations. Therefore, we validate the interaction of peptide-88 with laminin, vectorized on USPIO, to explore BBB molecular alterations occurring during neuroinflammation as a potential tool for use in MRI. The specific labeling of NPS-P88 was verified in endothelial cells (hCMEC/D3) and astrocytes (T98G) under inflammation induced by interleukin 1β (IL-1β) for 3 and 24 hours. IL-1β for 3 hours in hCMEC/D3 cells increased their co-localization with NPS-P88, compared with controls. At 24 hours, no significant differences were observed between groups. In T98G cells, NPS-P88 showed similar nonspecific labeling among treatments. These results indicate that NPS-P88 has a higher affinity towards brain endothelial cells than astrocytes under inflammation. This affinity decreases over time with reduced laminin expression. In vivo results suggest that following a 30-minute post-injection, there is an increased presence of NPS-P88 in the blood and brain, diminishing over time. Lastly, EAE animals displayed a significant accumulation of NPS-P88 in MRI, primarily in the cortex, attributed to inflammation and disruption of the BBB. Altogether, these results revealed NPS-P88 as a biomarker to evaluate changes in the BBB due to neuroinflammation by MRI in biological models targeting laminin.

A modified rehabilitation paradigm bilaterally increased rat extensor digitorum communis muscle size but did not improve forelimb function after stroke

by Sally Caine, Mariam Alaverdashvili, Frederick Colbourne, Gillian D. Muir, Phyllis G. Paterson

Malnutrition after stroke may lessen the beneficial effects of rehabilitation on motor recovery through influences on both brain and skeletal muscle. Enriched rehabilitation (ER), a combination of environmental enrichment and forelimb reaching practice, is used preclinically to study recovery of skilled reaching after stroke. However, the chronic food restriction typically used to motivate engagement in reaching practice is a barrier to using ER to investigate interactions between nutritional status and rehabilitation. Thus, our objectives were to determine if a modified ER program comprised of environmental enrichment and skilled reaching practice motivated by a short fast would enhance post-stroke forelimb motor recovery and preserve forelimb muscle size and metabolic fiber type, relative to a group exposed to stroke without ER. At one week after photothrombotic cortical stroke, male, Sprague-Dawley rats were assigned to modified ER or standard care for 2 weeks. Forelimb recovery was assessed in the Montoya staircase and cylinder task before stroke and on days 5–6, 22–23, and 33–34 after stroke. ER failed to improve forelimb function in either task (p > 0.05). Atrophy of extensor digitorum communis (EDC) and triceps brachii long head (TBL) muscles was not evident in the stroke-targeted forelimb on day 35, but the area occupied by hybrid fibers was increased in the EDC muscle (p = 0.038). ER bilaterally increased EDC (p = 0.046), but not TBL, muscle size; EDC muscle fiber type was unchanged by ER. While the modified ER did not promote forelimb motor recovery, it does appear to have utility for studying the role of skeletal muscle plasticity in post-stroke recovery.

Shanghai Community-Based Schizophrenia Cohort (SCS): a protocol for establishing a longitudinal cohort and research database of patients with schizophrenia receiving community-based mental health treatment

Por: Zhu · Y. · He · S. · Liu · Y. · Chen · C. · Ge · X. · Zhang · W. · Zhu · Y. · Zhou · Q. · Jiang · Y. · Zhang · Y. · Xu · W. · Wang · N. · Cai · J. · Xie · B.
Introduction

Drivers for remission, relapse and violence-related behaviour among patients with schizophrenia are the most complicated issue.

Methods and analysis

This study aims to recruit a longitudinal cohort of patients with schizophrenia. Two suburban districts and two urban districts were randomly selected according to health service facilities, population, geographical region and socioeconomic status. Individuals (>18 years old) who received a diagnosis of schizophrenia following the International Classification of Diseases (10th edition) criteria within the past 3 years will be invited as participants. Assessments will be carried out in local community health centres. Data will be used to (1) establish a community-based schizophrenia cohort and biobank, (2) prospectively determine the course of multidimensional functional outcomes of patients with schizophrenia who are receiving community-based mental health treatment, and (3) map the trajectories of patients with schizophrenia and prospectively determine the course of multidimensional outcomes based on the differential impact of potentially modifiable moderators.

Ethics and dissemination

The study has been reviewed and approved by the Human Research Ethics Committee of Shanghai Mental Health Center (2021-67). Results of the study will be disseminated through peer-reviewed journals. If effective, related educational materials will be released to the public.

Development and validation of an individualised nomogram to predict mother-to-child transmission in pregnant women with syphilis in China: a retrospective cohort study

Por: Feng · S. · Gao · S. · Wang · Q. · Cai · M. · Huang · Z. · Huang · Y. · Hong · Y. · Yuan · L. · Liu · F. · Jiang · H.
Objectives

The elimination of mother-to-child transmission (MTCT) of syphilis has been set as a public health priority. However, an instrument to predict the MTCT of syphilis is not available. We aimed to develop and validate an intuitive nomogram to predict the individualised risk of MTCT in pregnant women with syphilis in China.

Design

Retrospective cohort study.

Setting

Data was acquired from the National Information System of Prevention of MTCT of Syphilis in Guangdong province between 2011 and 2020.

Participants

A total of 13 860 pregnant women with syphilis and their infants were included and randomised 7:3 into the derivation cohort (n=9702) and validation cohort (n=4158).

Primary outcome measures

Congenital syphilis.

Results

Among 13 860 pregnant women with syphilis and their infants included, 1370 infants were diagnosed with congenital syphilis. Least absolute shrinkage and selection operator regression and multivariable logistic regression showed that age, ethnicity, registered residence, marital status, number of pregnancies, transmission route, the timing of syphilis diagnosis, stage of syphilis, time from first antenatal care to syphilis diagnosis and toluidine red unheated serum test titre were predictors of MTCT of syphilis. A nomogram was developed based on the predictors, which demonstrated good calibration and discrimination with an area under the curve of the receiver operating characteristic of 0.741 (95% CI: 0.728 to 0.755) and 0.731 (95% CI: 0.710 to 0.752) for the derivation and validation cohorts, respectively. The net benefit of the predictive models was positive, demonstrating a significant potential for clinical decision-making. We have also developed a web calculator based on this prediction model.

Conclusions

Our nomogram exhibited good performance in predicting individualised risk for MTCT of syphilis, which may help guide early and personalised prevention for MTCT of syphilis.

Combination of diuretics for acute heart failure: a protocol for a systematic review of randomised clinical trials with network meta-analysis and trial sequential analysis

Por: Nahiz · N. · Lukoschewitz · J. D. · Seven · E. · Olsen El Caidi · N. · Hove · J. D. · Jakobsen · J. · Grand · J.
Introduction

Acute heart failure (AHF) is a critical, costly condition with high mortality rates, affecting millions annually. Despite advances in cardiovascular care, AHF treatment lacks robust evidence. AHF commonly manifests with sudden heart failure symptoms such as pulmonary congestion, and the pathophysiology involves fluid overload. Initial treatment is based on intravenous diuretics typically, but the optimal combination of drugs remains uncertain.

Methods and analysis

We will systematically review randomised controlled trials enrolling patients with AHF and volume overload undergoing in-hospital diuretic treatment. We aim to investigate any diuretic intervention. Our search strategy includes the following databases: Embase, Medline, Latin American and Caribbean Health Sciences Literature, Web of Science and the Cochrane Central Register of Controlled Trials. The primary outcome is all-cause mortality. Secondary outcomes are serious adverse events, hospital readmission and kidney failure. Study results reported at the most extended follow-up will be used for all outcomes. If appropriate, we will conduct meta-analysis, trial sequential analysis and network meta-analysis.

Ethics and dissemination

No ethics approval is required for this study. The results will be published in a peer-reviewed journal in this field.

PROSPERO registration number

CRD42023463979.

The role of traditional Chinese medicine in postoperative wound complications of gastric cancer

Abstract

Due to the high risks of postoperative complications brought on by gastric cancer, traditional Chinese medicine (TCM) as a commonly used therapy, has exerted its vital role in postoperative recovery care. In this sense, this meta-analysis was conducted to explore the related documents about TCM's impact on gastric cancer postoperative recovery. During the research, we explored a total of 1549 results from databases PubMed, China National Knowledge Infrastructure (CNKI), Embase, Cochrane Library and Web of Science (WoS). Thirty-two clinical randomized trials (RCTs) were then selected and analysed for this meta-analysis by using the software RevMan 5.4 (under PRISMA 2020 regulations), with a population of 3178 patients. Data prove that TCM therapy reduced the risks for postoperative complications exposure by an estimated average of 19% (95% CI). Among the complications, TCM therapy suppressed the risks of wound infection and incisional infections by 53% and 48% respectively. Meanwhile, the patient's wound healing duration exhibited a significant reduction compared to those without TCM treatment, with a difference at around 0.74 days (95% CI). TCM also exerted its potential to strengthen the patient's immune and health conditions, leading to a significantly promoted gastrointestinal function in the patients with a shorter duration to release first exhaustion and defecation compared to those with no TCM therapy. In addition, similar promoted phenomena also exist in those patients with TCM therapy in terms of their immunity and nutritional conditions. These facts all indicate a positive impact of TCM therapy in clinical applications.

Health communication and shared decision‐making between nurses and older adults in community setting: An integrative review

Abstract

Aim

To explore the role of health communication in Shared Decision-Making (SDM) between nursing staff and older people in the community setting.

Background

Society and healthcare services are marked by an exponentially ageing population, leading to a significant proportion of patients being older adults with highly demanding care needs. Scientific literature supports shared decision-making as a process that engages patients in their care. However, the increasing use of technology and the consequences of the COVID-19 pandemic have influenced how nurses communicate with older patients. Therefore, it is crucial to understand how to develop health communication to reach effective, shared decision-making processes.

Methods

Whittemore and Knafl's integrative review method, the literature search comprised five databases: PubMed, CINALH, Web of Science, Scopus and PsycINFO.

Results

The 12 included studies were synthesised into three study patterns: (1) nurse–older patient health communication relationship, (2) older patients' perspectives and (3) nontherapeutic communication in end-of-life care.

Conclusion

This review underscored the crucial role of effective health communication in shaping SDM dynamics between nursing staff and older people in the community setting. Key elements included transparent information exchange, establishing trust and maintaining communication channels with informal caregiving networks. SDM actions were aligned with preserving older people's autonomy, but communication challenges persisted, particularly in end-of-life situations. Advanced care planning was recommended to address these shortcomings and improve communication among older people, healthcare professionals and families.

Implications

Implementing educational measures based on verbal and nonverbal health communication in nursing training could be beneficial. Nursing research could continue to develop and refine specific communication strategies adapted to the social determinants of health for diverse clinical situations regarding older adults in the community setting.

Reporting Method

The authors have adhered to relevant EQUATOR guidelines through the PRISMA 2020 checklist.

No Patient or Public Contribution.

Chinese herbal medicine for post-viral fatigue: A systematic review of randomized controlled trials

by Le-Yan Hu, An-Qi Cai, Bo Li, Zheng Li, Jian-Ping Liu, Hui-Juan Cao

Background

Fatigue is a common symptom after viral infection. Chinese herbal medicine (CHM) is thought to be a potential effective intervention in relieving fatigue.

Purpose

To assess the effectiveness and safety of CHM for the treatment of post-viral fatigue.

Study design

Systematic review and meta-analysis of randomized controlled trials (RCTs).

Methods

The protocol of this systematic review was registered on PROSPERO (CRD42022380356). Trials reported changes of fatigue symptom, which compared CHM to no treatment, placebo or drugs, were included. Six electronic databases and three clinical trial registration platforms were searched from inception to November 2023. Literature screening, data extraction, and risk bias assessment were independently carried out by two reviewers. Quality of the included trials was evaluated using Cochrane risk of bias tool, and the certainty of the evidence was evaluated using GRADE. The meta-analysis was performed using Review Manager 5.4, mean difference (MD) and its 95% confidence interval (CI) was used for estimate effect of continuous data. Heterogeneity among trials was assessed through I2 value.

Results

Overall, nineteen studies with 1921 patients were included. Results of individual trial or meta-analysis showed that CHM was better than no treatment (MD = -0.80 scores, 95%CI -1.43 to -0.17 scores, P = 0.01, 60 participants, 1 trial), placebo (MD = -1.90 scores, 95%CI -2.38 to -1.42 scores, P.00001, 184 participants, 1 trial), placebo on basis of rehabilitation therapy (MD = -14.90 scores, 95%CI -24.53 to -5.27 scores, P = 0.02, 118 participants, 1 trial) or drugs (MD = -0.38 scores, 95%CI -0.48 to -0.27 scores, I2 = 0%, Pto drugs alone also showed better effect of combination therapy (average MD = -0.56 scores). In addition, CHM may improve the percentage of CD4 T lymphocytes and reduce the level of serum IL-6 (MD = -14.64 scores, 95%CI 18.36 to -10.91 scores, I2 = 0%, P Conclusion

Current systematic review found that the participation of CHM can improve the symptoms of post-viral fatigue and some immune indicators. However, the safety of CHM remains unknown and large sample, high quality multicenter RCTs are still needed in the future.

Predictive machine learning models for ascending aortic dilatation in patients with bicuspid and tricuspid aortic valves undergoing cardiothoracic surgery: a prospective, single-centre and observational study

Por: Gaye · B. · Vignac · M. · Gadin · J. R. · Ladouceur · M. · Caidahl · K. · Olsson · C. · Franco-Cereceda · A. · Eriksson · P. · Björck · H. M.
Objectives

The objective of this study was to develop clinical classifiers aiming to identify prevalent ascending aortic dilatation in patients with bicuspid aortic valve (BAV) and tricuspid aortic valve (TAV).

Design and setting

A prospective, single-centre and observational cohort.

Participants

The study involved 543 BAV and 491 TAV patients with aortic valve disease and/or ascending aortic dilatation, excluding those with coronary artery disease, undergoing cardiothoracic surgery at the Karolinska University Hospital (Sweden).

Main outcome measures

Predictors of high risk of ascending aortic dilatation (defined as ascending aorta with a diameter above 40 mm) were identified through the application of machine learning algorithms and classic logistic regression models.

Exposures

Comprehensive multidimensional data, including valve morphology, clinical information, family history of cardiovascular diseases, prevalent diseases, demographic details, lifestyle factors, and medication.

Results

BAV patients, with an average age of 60.4±12.4 years, showed a higher frequency of aortic dilatation (45.3%) compared with TAV patients, who had an average age of 70.4±9.1 years (28.9% dilatation, p

Conclusion and recommendation

Cardiovascular risk profiles appear to be more predictive of aortopathy in TAV patients than in patients with BAV. This adds evidence to the fact that BAV-associated and TAV-associated aortopathy involves different pathways to aneurysm formation and highlights the need for specific aneurysm preventions in these patients. Further, our results highlight that machine learning approaches do not outperform classical prediction methods in addressing complex interactions and non-linear relations between variables.

Cross-sectional analysis of use of real-world data in single technology appraisals of oncological medicine by the National Institute for Health and Care Excellence in 2011-2021

Por: Kang · J. · Cairns · J.
Objectives

This study aims to identify how real-world data (RWD) have been used in single technology appraisals (STAs) of cancer drugs by the National Institute for Health and Care Excellence (NICE).

Design

Cross-sectional study of NICE technology appraisals of cancer drugs for which guidance was issued between January 2011 and December 2021 (n=229). The appraisals were reviewed following a published protocol to extract the data about the use of RWD. The use of RWD was analysed by reviewing the specific ways in which RWD were used and by identifying different patterns of use.

Primary outcome measure

The number of appraisals where RWD are used in the economic modelling.

Results

Most appraisals used RWD in their economic models. The parametric use of RWD was commonly made in the economic models (76% of the included appraisals), whereas non-parametric use was less common (41%). Despite widespread use of RWD, there was no dominant pattern of use. Three sources of RWD (registries, administrative data, chart reviews) were found across the three important parts of the economic model (choice of comparators, overall survival and volume of treatment).

Conclusions

NICE has had a long-standing interest in the use of RWD in STAs. A systematic review of oncology appraisals suggests that RWD have been widely used in diverse parts of the economic models. Between 2011 and 2021, parametric use was more commonly found in economic models than non-parametric use. Nonetheless, there was no clear pattern in the way these data were used. As each appraisal involves a different decision problem and the ability of RWD to provide the information required for the economic modelling varies, appraisals will continue to differ with respect to their use of RWD.

Healthy work environment: A systematic review informing a nursing professional practice model in the US Military Health System

Abstract

Aim

The aim of the study was to develop recommendations for creating a healthy work environment based on current literature for nurses working within the US Military Health System (MHS). However, our findings would likely benefit other nursing populations and environments as well.

Design

Systematic literature review.

Data Sources

We conducted a systematic literature search for articles published between January 2010 until January 2024 from five databases: PubMed, Joanna Briggs, Embase, CINAHL and Scopus.

Methods

Articles were screened, selected and extracted using Covidence software. Article findings were synthesized to create recommendations for the development, implementation and measurement of healthy work environments.

Results

Ultimately, a total of 110 articles met the criteria for inclusion in this review. The articles informed 13 recommendations for creating a healthy work environment. The recommendations included ensuring teamwork, mentorship, job satisfaction, supportive leadership, nurse recognition and adequate staffing and resources. Additionally, we identified strategies for implementing and measuring these recommendations.

Conclusions

This thorough systematic review created actionable recommendations for the creation of a healthy work environment. Based on available evidence, implementation of these recommendations could improve nursing work environments.

Impact

This study identifies methods for implementing and measuring aspects of a healthy work environment. Nurse leaders or others can implement the recommendations provided here to develop healthy work environments in their hospitals, clinics or other facilities where nurses practice.

Reporting Method

PRISMA 2020 guidelines.

Patient or Public Contribution

No patient or public contribution.

HMOX1 as a therapeutic target associated with diabetic foot ulcers based on single‐cell analysis and machine learning

Abstract

Diabetic foot ulcers (DFUs) are a serious chronic complication of diabetes mellitus and a leading cause of disability and death in diabetic patients. However, current treatments remain unsatisfactory. Although macrophages are associated with DFU, their exact role in this disease remains uncertain. This study sought to detect macrophage-related genes in DFU and identify possible therapeutic targets. Single-cell datasets (GSE223964) and RNA-seq datasets (GSM68183, GSE80178, GSE134431 and GSE147890) associated with DFU were retrieved from the gene expression omnibus (GEO) database for this study. Analysis of the provided single-cell data revealed the distribution of macrophage subpopulations in the DFU. Four independent RNA-seq datasets were merged into a single DFU cohort and further analysed using bioinformatics. This included differential expression (DEG) analysis, multiple machine learning algorithms to identify biomarkers and enrichment analysis. Finally, key results were validated using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and Western bolt. Finally, the findings were validated using RT-qPCR and western blot. We obtained 802 macrophage-related genes in single-cell analysis. Differential expression analysis yielded 743 DEGs. Thirty-seven macrophage-associated DEGs were identified by cross-analysis of marker genes with macrophage-associated DEGs. Thirty-seven intersections were screened and cross-analysed using four machine learning algorithms. Finally, HMOX1 was identified as a potentially valuable biomarker. HMOX1 was significantly associated with biological pathways such as the insulin signalling pathway. The results showed that HMOX1 was significantly overexpressed in DFU samples. In conclusion, the analytical results of this study identified HMOX1 as a potentially valuable biomarker associated with macrophages in DFU. The results of our analysis improve our understanding of the mechanism of macrophage action in this disease and may be useful in developing targeted therapies for DFU.

Traditional Chinese medicine Qingre Huoxue decoction enhances wound healing in through modulation of angiogenic and inflammatory pathways

Abstract

This study investigates the therapeutic potential of Qingre Huoxue Decoction (QHD), a traditional Chinese herbal formulation, in promoting wound healing in an imiquimod-induced murine model of psoriasis. The research was driven by the need for effective wound healing strategies in psoriatic conditions, where conventional treatments often fall short. Employing a combination of in vivo and in vitro methodologies, we assessed the effects of QHD on key factors associated with wound healing. Our results showed that QHD treatment significantly reduced the expression of angiogenic proteins HIF-1α, FLT-1, and VEGF, and mitigated inflammatory responses, as evidenced by the decreased levels of pro-inflammatory cytokines and increased expression of IL-10. Furthermore, QHD enhanced the expression of genes essential for wound repair. In vitro assays with HUVECs corroborated the anti-angiogenic effects of QHD. Conclusively, the study highlights QHD's efficacy in enhancing wound healing in psoriatic conditions by modulating angiogenic and inflammatory pathways, presenting a novel therapeutic avenue in psoriasis wound management.

Development of a prognostic model for long-term survival of young patients with bladder cancer: a retrospective analysis of the SEER Database

Por: Guo · L. · Liu · L. · Liu · Y. · Yang · T. · Wang · G. · Liu · J. · Li · S. · Cai · J.
Objectives

This study aims to present the clinical characteristics of young patients with bladder cancer (YBCa), evaluate related risk factors and construct a nomogram based on data acquired from the Surveillance, Epidemiology, and End Results (SEER) Database.

Design

Retrospective analysis of the SEER Database (2004–2015) for primary YBCa.

Setting and participants

Data for YBCa (defined as those aged 40 years or younger) were extracted from the SEER Database, which covers approximately 28% of the US population, using the SEER*Stat software (V.8.4.0.1). A total of 1233 YBCa were identified. Patients were randomly assigned to the training and validation sets. The database included clinicopathological features, demographic information and survival outcomes, such as age, gender, race, year of diagnosis, marital status at diagnosis, primary tumour site, histological type, tumour grade, tumour, node, metastases (TNM) staging, treatment regimen for the primary tumour, cause of death and survival time. A nomogram model was developed using univariate and multivariate analyses. The prediction model was validated using the consistency index (C-index), calibration curve and receiver operating characteristic curve.

Primary outcome measures

3-year, 5-year and 10-year overall survival (OS).

Results

1233 YBCa from 2004 to 2015 were randomly assigned to the training set (n=865) and validation set (n=368). Age, marital status, tumour grade, histological type and TNM staging were included in the nomogram. The C-index of the model was 0.876. The 3-year, 5-year and 10-year OS area under the curve values for the training and validation sets were 0.949, 0.923 and 0.856, and 0.919, 0.890 and 0.904, respectively. Calibration plots showed that the nomogram had a robust predictive accuracy.

Conclusions

To our knowledge, this is the first study to establish a precise nomogram predicting the 3-year, 5-year and 10-year OS in YBCa based on multivariate analyses. Our nomogram may serve as a valuable reference for future diagnostics and individualised treatments for YBCa. However, external validation is warranted to assess the accuracy and generalisability of our prognostic model.

Artificial intelligence driven malnutrition diagnostic model for patients with acute abdomen based on GLIM criteria: a cross-sectional research protocol

Por: Ma · W. · Cai · B. · Wang · Y. · Wang · L. · Sun · M.-W. · Lu · C. D. · Jiang · H.
Background

Patients with acute abdomen often experience reduced voluntary intake and a hypermetabolic process, leading to a high occurrence of malnutrition. The Global Leadership Initiative on Malnutrition (GLIM) criteria have rapidly developed into a principal methodological tool for nutritional diagnosis. Additionally, machine learning is emerging to establish artificial intelligent-enabled diagnostic models, but the accuracy and robustness need to be verified. We aimed to establish an intelligence-enabled malnutrition diagnosis model based on GLIM for patients with acute abdomen.

Method

This study is a single-centre, cross-sectional observational investigation into the prevalence of malnutrition in patients with acute abdomen using the GLIM criteria. Data collection occurs on the day of admission, at 3 and 7 days post-admission, including biochemical analysis, body composition indicators, disease severity scoring, nutritional risk screening, malnutrition diagnosis and nutritional support information. The occurrence rate of malnutrition in patients with acute abdomen is analysed with the GLIM criteria based on the Nutritional Risk Screening 2002 and the Mini Nutritional Assessment Short-Form to investigate the sensitivity and accuracy of the GLIM criteria. After data cleansing and preprocessing, a machine learning approach is employed to establish a predictive model for malnutrition diagnosis in patients with acute abdomen based on the GLIM criteria.

Ethics and dissemination

This study has obtained ethical approval from the Ethics Committee of the Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital on 28 November 2022 (Yan-2022–442). The results of this study will be disseminated in peer-reviewed journals, at scientific conferences and directly to study participants.

Trial registration number

ChiCTR2200067044.

Feasibility of quality indicators on prehospital advanced airway management in a physician-staffed emergency medical service: survey-based assessment of the provider point of view

Por: Kottmann · A. · Pasquier · M. · Carron · P.-N. · Maudet · L. · Rouve · J.-D. · Suppan · L. · Caillet-Bois · D. · Riva · T. · Albrecht · R. · Krüger · A. · Sollid · S. J. M.
Objective

We aimed to determine the feasibility of quality indicators (QIs) for prehospital advanced airway management (PAAM) from a provider point of view.

Design

The study is a survey based feasibility assessment following field testing of QIs for PAAM.

Setting

The study was performed in two physician staffed emergency medical services in Switzerland.

Participants

42 of the 44 emergency physicians who completed at least one case report form (CRF) dedicated to the collection of the QIs on PAAM between 1 January 2019 and 31 December 2021 participated in the study.

Intervention

The data required to calculate the 17 QIs was systematically collected through a dedicated electronic CRF.

Primary and secondary outcome measures

Primary outcomes were provider-related feasibility criteria: relevance and acceptance of the QIs, as well as reliability of the data collection. Secondary outcomes were effort to collect specific data and to complete the CRF.

Results

Over the study period, 470 CRFs were completed, with a median of 11 per physician (IQR 4–17; range 1–48). The median time to complete the CRF was 7 min (IQR 3–16) and was considered reasonable by 95% of the physicians. Overall, 75% of the physicians assessed the set of QIs to be relevant, and 74% accepted that the set of QIs assessed the quality of PAAM. The reliability of data collection was rated as good or excellent for each of the 17 QIs, with the lowest rated for the following 3 QIs: duration of preoxygenation, duration of laryngoscopy and occurrence of desaturation during laryngoscopy.

Conclusions

Collection of QIs on PAAM appears feasible. Electronic medical records and technological solutions facilitating automatic collection of vital parameters and timing during the procedure could improve the reliability of data collection for some QIs. Studies in other services are needed to determine the external validity of our results.

Trends of mean systolic and diastolic blood pressure among adults in Shenzhen, China, 1997-2018: findings from three rounds of the population-based survey

Por: Peng · K. · Cai · W. · Liu · X. · Liu · Y. · Ouyang · M. · Gong · J. · Wang · Z. · Wang · Y. · Hao · J. · Wang · W. · Zhao · H. · Lin · K. · Han · G. · Shi · Y. · Xie · Y. · Xie · Y. · Lei · L. · Si · L.
Objective

To quantify the trends in systolic and diastolic blood pressure (BP) among adults in Shenzhen from 1997 to 2018.

Design

Cross-sectional study.

Settings

The data were collected from all districts in Shenzhen, China in the years of 1997, 2009 and 2018 by multistage cluster sampling procedure.

Participants

Participants were residents aged 18–69 years in Shenzhen, China. A total of 26 621 people were included: 8266 people in 1997, 8599 people in 2009 and 9756 people in 2018.

Primary and secondary outcome measures

All participants were surveyed about their sociodemographic and lifestyle information. BP was measured by trained physicians using a mercury sphygmomanometer. Hypertension was defined as systolic BP of at least 140 mm Hg and diastolic BP of at least 90 mm Hg, self-reported use of antihypertensive medications or both. Hypertension control was defined as systolic BP values of less than 140 mm Hg and diastolic BP values of less than 90 mm Hg.

Result

Age-adjusted mean systolic BP increased from 117±16 mm Hg to 123±15 mm Hg (p

Conclusions

The mean systolic BP and diastolic BP among adults in Shenzhen increased from 1997 to 2018, and no improvements in hypertension awareness, treatment and control rates were found.

Empowering Ontarios long-term care residents to shape the place they call home: a codesign protocol

Por: Lee · C. · Tripp · D. · McVie · M. · Fineczko · J. · Ramsden · G. · Hothi · S. · Langston · J. · Gilhuly · J. · Collingwood · B. · McAiney · C. · McGilton · K. S. · Bethell · J.
Background

Canada’s long-term care (LTC) homes were founded on an institutional model that viewed residents as passive recipients of care. Many homes continue to follow this model leaving residents removed from operational decision-making within their homes. However, involving residents in the design of their LTC home’s environment, programmes and operations can improve the residents’ quality of life and other outcomes. This codesign project creates a toolkit/resource for LTC homes to facilitate meaningful resident engagement in their home’s organisational design and governance.

Method

This three-part project consists of a scoping review, qualitative interviews, toolkit/resource development and prototyping. In part 1, we conduct a scoping review to synthesise existing knowledge on approaches to engaging LTC home residents in organisational design and governance of their LTC homes, as well as explore barriers, challenges and facilitators of engagement, considerations for diversity and cognitive change, and approaches to evaluation. In part 2, we will have interviews and focus groups with residents, team members (staff) and administrators to assess community capacity to implement and sustain a programme to engage LTC residents in organisational design and governance of their LTC homes. The third part of our project uses these findings to help codesign toolkit(s)/resource(s) to enable the engagement of LTC residents in the organisational design and governance of their LTC homes.

Ethics and dissemination

The project is conducted in partnership with the Ontario Association of Residents’ Councils. We will leverage their communication to disseminate findings and support the use of the codesigned toolkit(s)/resource(S) with knowledge users. We will also publish the study results in an academic journal and present at conferences, webinars and workshops. These results can influence practices within LTC homes by inspiring an organisational culture where residents help shape the place they call home. The interviews and focus groups, conducted in part 2, have been submitted to the University Health Network Research Ethics Board.

Balloon dilation for the treatment of male urethral strictures: a systematic review and meta-analysis

Por: Li · X. · Xu · C. · Ji · X. · Zhu · Z. · Cai · T. · Guo · Z. · Lin · J.
Objective

The use of minimally invasive endoluminal treatment for urethral strictures has been a subject for debate for several decades. The aim of this study was to review and discuss the safety, efficacy and factors influencing the clinical application of balloon dilation for the treatment of male urethral strictures.

Design

Systematic review and meta-analysis.

Data sources

Embase, Medline, Web of Science, Cochrane Library and Scopus were searched for publications published before 17 July 2022.

Study selection

Two independent researchers screened and assessed the results, and all clinical studies on balloon dilation for the treatment of urethral strictures in men were included.

Data extraction and synthesis

The success rate, rate of adverse events, International Prostate Symptom Scores, maximum uroflow (Qmax) and postvoid residual urine volume were the main outcomes. Stata V.14.0 was used for statistical analysis.

Results

Fifteen studies with 715 patients were ultimately included in this systematic review. The pooled results of eight studies showed that the reported success rate of simple balloon dilation for male urethral strictures was 67.07% (95% confidence interval [CI]: 55.92% to 77.36%). The maximum urinary flow rate at 3 months (risk ratio [RR]= 2.6510, 95% CI: 1.0681 to 4.2338, p

Conclusion

Balloon dilation may be an intermediate step before urethroplasty and is a promising alternative therapy to simple dilation and DVIU. The balloon is a promising drug delivery tool, and paclitaxel drug-coated balloon dilation is effective in reducing retreatment rates in patients with recurrent anterior urethral strictures. The aetiology, location, length, previous treatment of urethral stricture may be associated with the efficacy of balloon dilation.

PROSPERO registration number

CRD42022334403.

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