bluuebunny/crossref_metadata_2025 huggingface dataset:
Access to urban green spaces and use of social services and institutional long-term care among older people in Malmö, Sweden: a longitudinal register study
Authors: Axmon Anna , Mattisson Kristoffer , Lethin Connie , Fänge Agneta Malmgren , Carlsson Gunilla , Stroh Emilie
Published: June 2024

Background

Finding ways to prolong independence in daily life among older people would be beneficial for both individuals and society. Urban green spaces have been found to improve health, but only a few studies have evaluated the association between urban green spaces and independence in daily life. The aim of this study was to assess the long-term effect of urban green spaces on independence in daily life, using social services and support, mobility aids, and relocation to institutional long-term care as proxies, among community dwelling people 65 + years.

Methods

We identified 40 357 people 65 + years living in the city of Malmö, Sweden in 2010. Using geographical information systems (GIS), we determined the amount of urban green spaces (total, public, and quiet) within 300 m of each person’s residence. All three measures were categorized based on their respective percentiles, so that the first quartile represented the 25% with the least access and the fourth quartile the 25% with the most access. In 2015 and 2019, we assessed the outcomes minor assistance (non-personal support), major assistance (personal support), and relocation into institutional long-term care. These three outcome measures were used as proxies for independence in daily life. The effect of amount of urban green spaces in 2010 on the three outcomes in 2015 and 2019, respectively, was assessed by pairwise comparing the three highest quartiles to the lowest.

Results

Compared to the lowest quartile, those in the highest quartile of quiet green spaces in 2010 were less likely to receive minor assistance in both 2015 and 2019. Besides this, there were no indications that any of the measures of urban green space affected independence in daily life at the five- and nine-year follow-up, respectively.

Conclusion

Although urban green spaces are known to have positive impact on health, physical activity, and social cohesion among older people, we found no effect of total, public, or quiet green spaces on independence in daily life. This could possibly be a result of the choice of measures of urban green spaces, including spatial and temporal aspects, an inability to capture important qualitative aspects of the green spaces, or the proxy measures used to assess independence in daily life.
Risk of cervical high-grade squamous intraepithelial neoplasia in cytologic negative and persistently high-risk human papillomavirus positive patients according to genotypes: a retrospective single center analysis
Authors: Kipp Barbara , Ulrich Elena , van Meegen Carmen , Schwenzer Thomas
Published: June 2024

In January 2020, a different cervical cancer screening program started in Germany. Women above the age of 35 are recommended to have a combined HPV and cytology swab every three years. Showing persistent high-risk human papillomavirus (hrHPV), cytologic negative cervical samples at baseline and after 12 months, patients are referred to colposcopy. Entailing considerable additional workload due to the required colposcopies, we analyzed the risk of high-grade cervical intraepithelial neoplasia (CIN 3) in cytologic negative and persistent hrHPV women according to their hrHPV genotypes.

Methods In this single center retrospective study, patients with persistent hrHPV, cytology negative cervical samples from our certified Colposcopy Unit in 2020 and 2021 were analyzed. Patient demographics, hrHPV types, biopsy rates and histological reports were collected.

Results During the study, 69 patients were enrolled. Most frequent hrHPV genotypes were: hrHPV other 72.5%; HPV 16, 20.3% and HPV 18, 7.2%. Colposcopy showed no or minor changes in 92.7% and major changes in 7.2%. CIN 3 was found in 7 patients (10.1%). Prevalence of CIN 3 by hrHPV genotypes was 27.3% for HPV16, 20.0% for HPV18 and 7.1% for HPVO. A statistically significant dependency between hrHPV and cervical intraepithelial neoplasia was demonstrated (p = 0.048).

Conclusion Within this single center study of persistent hrHPV, cytologic negative samples, patients with HPV 16 were more likely to have high-grade disease compared to other hrHPV subtypes. Larger prospective randomized trials are needed to substantiate our results and obtain adjusted cervical cancer screening time intervals according to the hrHPV genotypes.
Empathy in undergraduate medical students: a multi-center cross-sectional study in China
Authors: Huang Runzhi , Zhou Zhitong , Liu Yifan , Lin Min , Gong Meiqiong , Xian Shuyuan , Yin Huabin , Meng Tong , Wang Xiaonan , Wang Yue , Chen Wenfang , Zhang Chongyou , Du Erbin , Liu Xin , Lin Qing , Wu Hongbin , Huang Zongqiang , Zhang Jie , Zhang Guoyang , Ji Shizhao
Published: June 2024

Background

Fostering empathy has been continuously emphasized in the global medical education. Empathy is crucial to enhance patient-physician relationships, and is associated with medical students’ academic and clinical performance. However, empathy level of medical students in China and related influencing factors are not clear.

Methods

This was a cross-sectional study among medical students in 11 universities. We used the Jefferson Scale of Empathy Student-version of Chinese version to measure empathy level of medical students. Factors associated with empathy were identified by the univariate and multivariate logistic regression analyses. Based on the variables identified above, the nomogram was established to predict high empathy probability of medical students. Receiver operating characteristic curve, calibration plot and decision curve analysis were used to evaluate the discrimination, calibration and educational utility of the model.

Results

We received 10,901 samples, but a total of 10,576 samples could be used for further analysis (effective response rate of 97.02%). The mean empathy score of undergraduate medical students was 67.38 (standard deviation = 9.39). Six variables including gender, university category, only child or not, self-perception doctor-patient relationship in hospitals, interest of medicine, Kolb learning style showed statistical significance with empathy of medical students (P < 0.05). Then, the nomogram was established based on six variables. The validation suggested the nomogram model was well calibrated and had good utility in education, as well as area under the curve of model prediction was 0.65.

Conclusions

We identify factors influencing empathy of undergraduate medical students. Moreover, increasing manifest and hidden curriculums on cultivating empathy of medical students may be needed among medical universities or schools in China.
Assessment of the appropriate cutoff points for anthropometric indices and their relationship with cardio-metabolic indices to predict the risk of metabolic associated fatty liver disease
Authors: Hosseini Seyed Ahmad , Alipour Meysam , Sarvandian Sara , Haghighat Neda , Bazyar Hadi , Aghakhani Ladan
Published: June 2024

Background

Research on Metabolic Associated Fatty Liver Disease (MAFLD) is still in its early stages, with few studies available to identify and predict effective indicators of this disease. On the other hand, early diagnosis and intervention are crucial to reduce the burden of MAFLD. Therefore, the aim of this research was to investigate the effectiveness of eleven anthropometric indices and their appropriate cut-off values as a non-invasive method to predict and diagnose MAFLD in the Iranian population.

Methods

In this cross-sectional study, we analyzed baseline data from the Hoveyzeh Cohort Study, a prospective population-based study conducted in Iran that enrolled a total of 7836 subjects aged 35 to 70 years from May 2016 through August 2018.

Results

The optimal cut-off values of anthropometric indices for predicting MAFLD risk were determined for waist circumference(WC) (102.25 cm for males and 101.45 cm for females), body mass index (BMI) (27.80 kg/m2 for males and 28.75 kg/m2 for females), waist-to-hip ratio (WHR) (0.96 for both males and females), waist-to-height ratio (WHtR) (0.56 for males and 0.63 for females), body adiposity index (BAI) (23.24 for males and 32.97 for females), visceral adiposity index (VAI) (1.64 for males and 1.88 for females), weight-adjusted waist index (WWI) (10.63 for males and 11.71 for females), conicity index (CI) (1.29 for males and 1.36 for females), body roundness index (BRI) (4.52 for males and 6.45 for females), relative fat mass (RFM) (28.18 for males and 44.91 for females) and abdominal volume index (AVI) (18.85 for males and for 21.37 females). VAI in males (sensitivity: 77%, specificity: 60%, Youden’s Index: 0.37) and RFM in females (sensitivity: 76%, specificity: 59%, Youden’s Index: 0.35) were found to have higher sensitivity and specificity compared to other anthropometric indices. Furthermore, anthropometric indices demonstrated statistically significant correlations with various hepatic and cardiometabolic indices. Among these, the strongest positive correlations were observed between WC, BMI, BAI, BRI, and AVI with the Hepatic Steatosis Index (HSI), TyG-BMI, and TyG-WC, as well as between VAI and the Atherogenic Index of Plasma (AIP), Lipid Accumulation Product (LAP), Cardiometabolic Index (CMI), and the Triglyceride and Glucose (TyG) Index.

Conclusion

Anthropometric indices are effective in predicting MAFLD risk among Iranian adults, with WWI, VAI, and RFM identified as the strongest predictors. The proposed cutoff values could serve as a straightforward and non-invasive methods for the early diagnosis of MAFLD.
The relationships of inflammatory blood markers with maternal periodontal and dental states and their effects on preterm membrane rupture development
Authors: Temur Isa , Temur Katibe Tugce , Donertas Safak Necati , Dönertas Aycan Dal
Published: June 2024

Background

The influence of maternal oral and dental health on the occurrence of Preterm Premature Rupture of Membranes (P-PROM) and its underlying mechanisms remain uncertain. This research seeks to investigate the impact of maternal oral and dental health on the incidence of P-PROM and its association with inflammatory markers in the blood.

Methods

This study adopts a prospective case-control design methodology. The study involved 70 women diagnosed with P-PROM and delivered by an obstetrician and 79 women who had healthy deliveries with no prenatal complications. The values for DMFT (Number of decayed, missing and filled teeth) index, Gingival Index (GI), Plaque index (PI), Pocket depth (PD), Clinical attachment loss (CAL) and medical history were recorded. Mann-Whitney U test and hierarchical binomial logistic regression analysis were applied. It was considered statistically significant at p < 0.05.

Results

The case group’s DMFT, PI, GI, PD values were statistically significantly higher than the control group (p < 0.001). There was no relationship between DMFT, GI, PD, CAL and inflammatory blood markers (p > 0.05). In the regression analysis for possible risk factors that may be effective in P-PROM, oral and dental health parameters were the most effective.

Conclusions

Oral and dental health of women with P-PROM was found to be worse than that of the control group. Oral and dental health may be a potential risk factor that may contribute to adverse pregnancy outcomes associated with P-PROM.
Relationship between increased maternal serum free human chorionic gonadotropin levels in the second trimester and adverse pregnancy outcomes: a retrospective cohort study
Authors: Chen Yiming , Dai Xiaoqing , Wu Bin , Jiang Chen , Yin Yixuan
Published: June 2024

Background

A retrospective cohort study was conducted to collect the data of pregnant women who received hospital delivery in Hangzhou Women's Hospital from January 2018 to December 2020, and who participated in the second trimester (15–20+6 weeks) of free beta human chorionic gonadotropin (free β-hCG). And the study was conducted to explore the relationship between maternal serum free β-hCG and adverse pregnancy outcomes (APO).

Methods

We retrospectively analyzed the clinical data of 1,978 women in the elevated maternal serum free β-hCG group (free β-hCG ≥ 2.50 multiples of the median, MoM) and 20,767 women in the normal group (0.25 MoM ≤ free β-hCG < 2.50 MoM) from a total of 22,745 singleton pregnancies, and modified Poisson regression analysis was used to calculate risk ratios (RRs) and 95% confidence intervals (CI) of the two groups.

Results

The gravidity and parity in the elevated free β-hCG group were lower, and the differences between the groups were statistically significant (all, P < 0.05). The risks of polyhydramnios, preeclampsia, and hyperlipidemia, were increased in women with elevated free β-hCG levels (RRs: 1.996, 95% CI: 1.322–3.014; 1.469, 95% CI: 1.130–1.911 and 1.257, 95% CI: 1.029–1.535, respectively, all P < 0.05), intrauterine growth restriction (IUGR) and female infants were also likely to happen (RRs = 1.641, 95% CI: 1.103–2.443 and 1.101, 95% CI: 1.011–1.198, both P < 0.05). Additionally, there was an association between elevated AFP and free β-hCG levels in second-trimester (RR = 1.211, 95% CI: 1.121–1.307, P < 0.001).

Conclusions

APOs, such as polyhydramnios, preeclampsia, and hyperlipidemia, were increased risks of elevated free β-hCG levels, IUGR and female infants were also likely to happen. Furthermore, there was an association between elevated AFP levels and elevated free β-hCG levels in second-trimester. We recommend prenatal monitoring according to the elevated maternal serum free β-hCG level and the occurrence of APO.
Machine learning cryptography methods for IoT in healthcare
Authors: Chinbat Tserendorj , Madanian Samaneh , Airehrour David , Hassandoust Farkhondeh
Published: June 2024

Background

The increased application of Internet of Things (IoT) in healthcare, has fueled concerns regarding the security and privacy of patient data. Lightweight Cryptography (LWC) algorithms can be seen as a potential solution to address this concern. Due to the high variation of LWC, the primary objective of this study was to identify a suitable yet effective algorithm for securing sensitive patient information on IoT devices.

Methods

This study evaluates the performance of eight LWC algorithms—AES, PRESENT, MSEA, LEA, XTEA, SIMON, PRINCE, and RECTANGLE—using machine learning models. Experiments were conducted on a Raspberry Pi 3 microcontroller using 16 KB to 2048 KB files. Machine learning models were trained and tested for each LWC algorithm and their performance was evaluated based using precision, recall, F1-score, and accuracy metrics.

Results

The study analyzed the encryption/decryption execution time, energy consumption, memory usage, and throughput of eight LWC algorithms. The RECTANGLE algorithm was identified as the most suitable and efficient LWC algorithm for IoT in healthcare due to its speed, efficiency, simplicity, and flexibility.

Conclusions

This research addresses security and privacy concerns in IoT healthcare and identifies key performance factors of LWC algorithms utilizing the SLR research methodology. Furthermore, the study provides insights into the optimal choice of LWC algorithm for enhancing privacy and security in IoT healthcare environments.
Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records
Authors: Miranda Oshin , Kiehl Sophie Marie , Qi Xiguang , Brannock M. Daniel , Kosten Thomas , Ryan Neal David , Kirisci Levent , Wang Yanshan , Wang LiRong
Published: June 2024

Background

Extracting research of domain criteria (RDoC) from high-risk populations like those with post-traumatic stress disorder (PTSD) is crucial for positive mental health improvements and policy enhancements. The intricacies of collecting, integrating, and effectively leveraging clinical notes for this purpose introduce complexities.

Methods

In our study, we created a natural language processing (NLP) workflow to analyze electronic medical record (EMR) data and identify and extract research of domain criteria using a pre-trained transformer-based natural language model, all-mpnet-base-v2. We subsequently built dictionaries from 100,000 clinical notes and analyzed 5.67 million clinical notes from 38,807 PTSD patients from the University of Pittsburgh Medical Center. Subsequently, we showcased the significance of our approach by extracting and visualizing RDoC information in two use cases: (i) across multiple patient populations and (ii) throughout various disease trajectories.

Results

The sentence transformer model demonstrated high F1 macro scores across all RDoC domains, achieving the highest performance with a cosine similarity threshold value of 0.3. This ensured an F1 score of at least 80% across all RDoC domains. The study revealed consistent reductions in all six RDoC domains among PTSD patients after psychotherapy. We found that 60.6% of PTSD women have at least one abnormal instance of the six RDoC domains as compared to PTSD men (51.3%), with 45.1% of PTSD women with higher levels of sensorimotor disturbances compared to men (41.3%). We also found that 57.3% of PTSD patients have at least one abnormal instance of the six RDoC domains based on our records. Also, veterans had the higher abnormalities of negative and positive valence systems (60% and 51.9% of veterans respectively) compared to non-veterans (59.1% and 49.2% respectively). The domains following first diagnoses of PTSD were associated with heightened cue reactivity to trauma, suicide, alcohol, and substance consumption.

Conclusions

The findings provide initial insights into RDoC functioning in different populations and disease trajectories. Natural language processing proves valuable for capturing real-time, context dependent RDoC instances from extensive clinical notes.
Burnout during the COVID-19 pandemic among nurses in Taiwan: the parental role effect on burnout
Authors: Chen Yong-Hsin , Saffari Mohsen , Lin Chung-Ying , Tang Hsiu-Mei , Yang Ching-wen , Lee Chiu-Hsian , Wang Wei-Yao , Jong Gwo-Ping
Published: June 2024

Background

During the COVID-19 pandemic, medical workers were concerned about the care of their children or family members and the impact of being separated from them. This increased stress could harm the relationship between nurses and patients. This study assessed how medical workers’ parental role may affect burnout during such a high-stress period.

Methods

This cross-sectional observational study was carried out in 2021 during the COVID-19 pandemic. The client burnout (CB) scale of the Copenhagen Burnout Inventory, the Nordic Musculoskeletal Questionnaire, and a demographic questionnaire were used. Statistical methods such as the t-test, one-way ANOVA, and univariable/multiple linear regression were applied.

Results

A total of 612 nurses were included in this study. The likely risk factors of CB were identified and the parenthood effect was found to be associated with reduced CB. The parental role and leisure activity with family and friends on CB were found to have an impact. Engaging in leisure activity with family and playing the role of a parent diligently will help relieve nurses’ burnout from frequent contact with patients and their families, thus lowering the risk of clinical burnout.

Conclusion

The parental role, family/friends relationships, and a complex work environment associated with nurses’ burnout during the COVID-19 pandemic. This finding allows us to re-examine the importance of family life and parent–child relationships in high-stress work environments.
A systematic review of machine learning models for management, prediction and classification of ARDS
Authors: Tran Tu K. , Tran Minh C. , Joseph Arun , Phan Phi A. , Grau Vicente , Farmery Andrew D.
Published: June 2024

Aim

Acute respiratory distress syndrome or ARDS is an acute, severe form of respiratory failure characterised by poor oxygenation and bilateral pulmonary infiltrates. Advancements in signal processing and machine learning have led to promising solutions for classification, event detection and predictive models in the management of ARDS.

Method

In this review, we provide systematic description of different studies in the application of Machine Learning (ML) and artificial intelligence for management, prediction, and classification of ARDS. We searched the following databases: Google Scholar, PubMed, and EBSCO from 2009 to 2023. A total of 243 studies was screened, in which, 52 studies were included for review and analysis. We integrated knowledge of previous work providing the state of art and overview of explainable decision models in machine learning and have identified areas for future research.

Results

Gradient boosting is the most common and successful method utilised in 12 (23.1%) of the studies. Due to limitation of data size available, neural network and its variation is used by only 8 (15.4%) studies. Whilst all studies used cross validating technique or separated database for validation, only 1 study validated the model with clinician input. Explainability methods were presented in 15 (28.8%) of studies with the most common method is feature importance which used 14 times.

Conclusion

For databases of 5000 or fewer samples, extreme gradient boosting has the highest probability of success. A large, multi-region, multi centre database is required to reduce bias and take advantage of neural network method. A framework for validating with and explaining ML model to clinicians involved in the management of ARDS would be very helpful for development and deployment of the ML model.
The predictive value of lesion-specific pericoronary fat attenuation index for major adverse cardiovascular events in patients with type 2 diabetes
Authors: Liu Meiju , Zhen Yanhua , Shang Jin , Dang Yuxue , Zhang Qian , Ni Weishi , Qiao Yujuan , Hou Yang
Published: June 2024

Background

The purpose of this study was to explore the prognostic significance of the lesion-specific pericoronary fat attenuation index (FAI) in forecasting major adverse cardiovascular events (MACE) among patients with type 2 diabetes mellitus (T2DM).

Methods

This study conducted a retrospective analysis of 304 patients diagnosed with T2DM who underwent coronary computed tomography angiography (CCTA) in our hospital from December 2011 to October 2021. All participants were followed for a period exceeding three years. Detailed clinical data and CCTA imaging features were carefully recorded, encompassing lesion-specific pericoronary FAI, FAI of the three prime coronary arteries, features of high-risk plaques, and the coronary artery calcium score (CACS). The MACE included in the study comprised cardiac death, acute coronary syndrome (which encompasses unstable angina pectoris and myocardial infarction), late-phase coronary revascularization procedures, and hospital admissions prompted by heart failure.

Results

Within the three-year follow-up, 76 patients with T2DM suffered from MACE. The lesion-specific pericoronary FAI in patients who experienced MACE was notably higher compared to those without MACE (–84.87 ± 11.36 Hounsfield Units (HU) vs. –88.65 ± 11.89 HU, p = 0.016). Multivariate Cox regression analysis revealed that CACS ≥ 100 (hazard ratio [HR] = 4.071, 95% confidence interval [CI] 2.157–7.683, p < 0.001) and lesion-specific pericoronary FAI higher than − 83.5 HU (HR = 2.400, 95% CI 1.399–4.120, p = 0.001) were independently associated with heightened risk of MACE in patients with T2DM over a three-year period. Kaplan-Meier analysis showed that patients with higher lesion-specific pericoronary FAI were more likely to develop MACE (p = 0.0023). Additionally, lesions characterized by higher lesion-specific pericoronary FAI values were found to have a greater proportion of high-risk plaques (p = 0.015). Subgroup analysis indicated that lesion-specific pericoronary FAI higher than − 83.5 HU (HR = 2.017, 95% CI 1.143–3.559, p = 0.015) was independently correlated with MACE in patients with T2DM who have moderate to severe coronary calcification. Moreover, the combination of CACS ≥ 100 and lesion-specific pericoronary FAI>-83.5 HU significantly enhanced the predictive value of MACE in patients with T2DM within 3 years.

Conclusions

The elevated lesion-specific pericoronary FAI emerged as an independent prognostic factor for MACE in patients with T2DM, inclusive of those with moderate to severe coronary artery calcification. Incorporating lesion-specific pericoronary FAI with the CACS provided incremental predictive power for MACE in patients with T2DM.
Biological role and expression of translationally controlled tumor protein (TCTP) in tumorigenesis and development and its potential for targeted tumor therapy
Authors: Liu An-Bu , Liu Jia , Wang Sheng , Ma Lei , Zhang Jun-Fei
Published: June 2024

Translationally controlled tumor protein (TCTP), also known as histamine-releasing factor (HRF) or fortilin, is a highly conserved protein found in various species. To date, multiple studies have demonstrated the crucial role of TCTP in a wide range of cellular pathophysiological processes, including cell proliferation and survival, cell cycle regulation, cell death, as well as cell migration and movement, all of which are major pathogenic mechanisms of tumorigenesis and development. This review aims to provide an in-depth analysis of the functional role of TCTP in tumor initiation and progression, with a particular focus on cell proliferation, cell death, and cell migration. It will highlight the expression and pathological implications of TCTP in various tumor types, summarizing the current prevailing therapeutic strategies that target TCTP.
Gardening and subjective cognitive decline: a cross-sectional study and mediation analyses of 136,748 adults aged 45+ years
Authors: Wang Kaiyue , Li Yaqi , Chen Xiao , Veldheer Susan , Wang Chen , Wang Han , Sun Liang , Gao Xiang
Published: June 2024

Background

Given the benefits of gardening for physical and psychological health, we explored whether gardening was associated with lower risks of subjective cognitive decline (SCD), a precursor of dementia, and SCD-related functional limitations.

Methods

Included in this cross-sectional study were 136,748 participants aged 45 + years old from the Behavioral Risk Factor Surveillance System 2019 survey, who were then categorized into three groups according to self-reported exercise status: non-exercisers, gardeners, and other exercisers. SCD was assessed via a questionnaire, and SCD-related functional limitations were referred to as having difficulties in engaging in household or social activities due to SCD. The odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the associations of gardening with SCD and SCD-related functional limitations, adjusted for age, sex, socioeconomic status, lifestyle factors, and health status. Mediation analyses were conducted to examine whether the observed association between gardening and SCD was mediated by energy expenditure (MET-hours/week), depression status, and consumption of fruits and vegetables.

Results

Overall, 11.1% and 5.4% of participants self-reported experiencing SCD and SCD-related functional limitations, respectively. The adjusted OR for gardeners vs. non-exercisers, was 0.72 (95% CI 0.62–0.83) for SCD and 0.57 (95% CI 0.44–0.73) for SCD-related functional limitations. The observed association between gardening and SCD was explained by higher energy expenditure (39.0%), lower likelihood of having depression (21.5%), and higher consumption of fruits and vegetables (3.4%) (P<0.05 for all). Similar patterns were observed for SCD-related functional limitations.

Conclusion

In this nationally representative sample, gardening was associated with better cognitive status, which may be mainly attributed to better depression status and energy expenditure.
A novel functional electrical stimulation sleeve based on textile-embedded dry electrodes
Authors: Garnier Baptiste , Marquez-Chin Melissa , DiNunzio Stephanie , Iwasa Stephanie N. , Saadatnia Zia , Naguib Hani E. , Popovic Milos R.
Published: June 2024

Background

Functional electrical stimulation (FES) is a rehabilitation technique that enables functional improvements in patients with motor control impairments. This study presents an original design and prototyping method for a smart sleeve for FES applications. The article explains how to integrate a carbon-based dry electrode into a textile structure and ensure an electrical connection between the electrodes and the stimulator for effective delivery of the FES. It also describes the materials and the step-by-step manufacturing processes.

Results

The carbon-based dry electrode is integrated into the textile substrate by a thermal compression molding process on an embroidered conductive matrix. This matrix is composed of textile silver-plated conductive yarns and is linked to the stimulator. Besides ensuring the electrical connection, the matrix improves the fixation between the textile substrate and the electrode. The stimulation intensity, the perceived comfort and the muscle torque generated by the smart FES sleeve were compared to hydrogel electrodes. The results show a better average comfort and a higher average stimulation intensity with the smart FES sleeve, while there were no significant differences for the muscle torque generated.

Conclusions

The integration of the proposed dry electrodes into a textile is a viable solution. The wearable FES system does not negatively impact the electrodes’ performance, and tends to improve it. Additionally, the proposed prototyping method is applicable to an entire garment in order to target all muscles. Moreover, the process is feasible for industrial production and commercialization since all materials and processes used are already available on the market.
Dietary acid load and risk of diminished ovarian reserve: a case-control study
Authors: Ziaei Rahele , Ghavami Abed , Ghasemi-Tehrani Hatav , Movahedi Minoo , Hashemi Maryam , Hajhashemi Maryam , Elyasi Mahshid , Vajdi Mahdi , Kalatehjari Maryam
Published: June 2024

Background

The epidemiologic evidence on the association between acid load potential of diet and the risk of diminished ovarian reserve (DOR) is scarce. We aim to explore the possible relationship between dietary acid load (DAL), markers of ovarian reserve and DOR risk in a case-control study.

Methods

370 women (120 women with DOR and 250 women with normal ovarian reserve as controls), matched by age and BMI, were recruited. Dietary intake was obtained using a validated 80-item semi-quantitative food frequency questionnaire (FFQ). The DAL scores including the potential renal acid load (PRAL) and net endogenous acid production (NEAP) were calculated based on nutrients intake. NEAP and PRAL scores were categorized by quartiles based on the distribution of controls. Antral follicle count (AFC), serum antimullerian hormone (AMH) and anthropometric indices were measured. Logistic regression models were used to estimate multivariable odds ratio (OR) of DOR across quartiles of NEAP and PRAL scores.

Results

Following increase in PRAL and NEAP scores, serum AMH significantly decreased in women with DOR. Also, AFC count had a significant decrease following increase in PRAL score (P = 0.045). After adjustment for multiple confounding variables, participants in the top quartile of PRAL had increased OR for DOR (OR: 1.26; 95%CI: 1.08–1.42, P = 0.254).

Conclusion

Diets with high acid-forming potential may negatively affect ovarian reserve in women with DOR. Also, high DAL may increase the risk of DOR. The association between DAL and markers of ovarian reserve should be explored in prospective studies and clinical trials.
Clinical competency of nurses trained in competency-based versus objective-based education in the Democratic Republic of the Congo: a qualitative study
Authors: Nagai Mari , Oikawa Miyuki , Komagata Tomoko , Basuana Josué Désiré Bapitani , Ulyabo Gérard Kahombo , Minagawa Yui , Matsuoka Sadatoshi , Egami Yuriko , Honda Mari , Tamura Toyomitsu
Published: June 2024

Background

Designing competency-based education (CBE) programmes is a priority in global nursing education for better nursing care for the population. In the Democratic Republic of the Congo (DRC), object-based education (OBE) remains mainstream in pre-service nursing education programmes. Recently, the Ministry of Health developed a self-assessment tool and quantitatively compared the clinical competency of CBE- and OBE-trained nurses. This study aimed to qualitatively triangulate the results of self-evaluation by exploring perception of supervisors, incumbent CBE-, and OBE-trained nurses in comparison with the competence of the two types of nurses, and to identify influential factors or barriers to their competence in clinical settings.

Methods

A qualitative descriptive approach with conventional content analysis was applied. Twenty interviews with clinical supervisors who oversaw both CBE- and OBE-trained nurses, 22 focus group discussions (FGDs) with CBE-trained nurses, and 21 FGDs with OBA-trained nurses currently working in health facilities were conducted. Participants of the FGDs were selected from the participants of the DRC self-assessment competency comparison study where there was no statistically significance between CBE- and OBE-trained nurses in the demographic characteristics. Data were analysed in terms of the competencies identified by the Ministry of Health.

Results

The supervisors recognised that the CBE-trained nurses had stronger competencies in professional communication, making decisions about health problems, and engaging in professional development, but were weak in clinical skills. This study identified challenges for supervisors in assuring standardised care in health facilities with OBE- and CBE-trained nurses, as well as barriers for CBE-trained nurses as a minority in the workplace in demonstrating their competencies.

Conclusions

The study results support the Ministry of Health’s policy to expand CBE in pre-service education programmes but reveal that its slow implementation impedes full utilisation of the acquired competencies at health facilities. Implementation could be accelerated by strengthening cooperation among the Ministry of Health’s three human resource departments, and developing and implementing a well-planned, legally binding, long-term CBE reform strategy, including an approach to the Continuing Professional Development system.
A rare olive compound oleacein functions as a TrkB agonist and mitigates neuroinflammation both in vitro and in vivo
Authors: Wakasugi Daiki , Kondo Shinji , Ferdousi Farhana , Mizuno Seiya , Yada Akira , Tominaga Kenichi , Takahashi Satoru , Isoda Hiroko
Published: June 2024

Background

Neuroinflammation is widely acknowledged as a characteristic feature of almost all neurological disorders and specifically in depression- and anxiety-like disorders. In recent years, there has been significant attention on natural compounds with potent anti-inflammatory effects due to their potential in mitigating neuroinflammation and neuroplasticity.

Methods

In the present study, we aimed to evaluate the neuroprotective effects of oleacein (OC), a rare secoiridoid derivative found in extra virgin olive oil. Our goal was to explore the BDNF/TrkB neurotrophic activity of OC and subsequently assess its potential for modulating neuroinflammatory response using human neuroblastoma cells (SH-SY5Y cells) and an in vivo model of depression induced by lipopolysaccharide (LPS)-mediated inflammation.

Results

In SH-SY5Y cells, OC exhibited a significant dose-dependent increase in BDNF expression. This enhancement was absent when cells were co-treated with inhibitors of BDNF's receptor TrkB, as well as downstream molecules PI3K and MEK. Whole-transcriptomics analysis revealed that OC upregulated cell cycle-related genes under normal conditions, while downregulating inflammation-associated genes in LPS-induced conditions. Furthermore, surface plasmon resonance (SPR) assays demonstrated that OC exhibited a stronger and more stable binding affinity to TrkB compared to the positive control, 7,8-dihydroxyflavone.

Importantly, bioluminescence imaging revealed that a single oral dose of OC significantly increased BDNF expression in the brains of Bdnf-IRES-AkaLuc mice. Furthermore, oral administration of OC at a dosage of 10 mg/kg body weight for 10 days significantly reduced immobility time in the tail suspension test compared to the LPS-treated group. RT-qPCR analysis revealed that OC significantly decreased the expression of pro-inflammatory cytokines Tnfα, Il6, and Il1β, while simultaneously enhancing Bdnf expression, as well as both pro and mature BDNF protein levels in mice hippocampus. These changes were comparable to those induced by the positive control antidepressant drug fluoxetine. Additionally, microarray analysis of mouse brains confirmed that OC could counteract LPS-induced inflammatory biological events.

Conclusion

Altogether, our study represents the first report on the potential antineuroinflammatory and antidepressant properties of OC via modulation of BDNF/TrkB neurotrophic activity. This finding underscores the potential of OC as a natural therapeutic agent for depression- and anxiety-related disorders.
Effects of temporal IFNγ exposure on macrophage phenotype and secretory profile: exploring GMP-Compliant production of a novel subtype of regulatory macrophages (MregIFNγ0) for potential cell therapeutic applications
Authors: Zitta Karina , Hummitzsch Lars , Lichte Frank , Fändrich Fred , Steinfath Markus , Eimer Christine , Kapahnke Sebastian , Buerger Matthias , Hess Katharina , Rusch Melanie , Rusch Rene , Berndt Rouven , Albrecht Martin
Published: June 2024

Background

Macrophages are involved in tissue homeostasis, angiogenesis and immunomodulation. Proangiogenic and anti-inflammatory macrophages (regulatory macrophages, Mreg) can be differentiated in-vitro from CD14+ monocytes by using a defined cell culture medium and a stimulus of IFNγ.

Aim of the study

To scrutinize the potential impact of temporal IFNγ exposure on macrophage differentiation as such exposure may lead to the emergence of a distinct and novel macrophage subtype.

Methods

Differentiation of human CD14+ monocytes to Mreg was performed using a GMP compliant protocol and administration of IFNγ on day 6. Monocytes from the same donor were in parallel differentiated to MregIFNγ0 using the identical protocol but with administration of IFNγ on day 0. Cell characterization was performed using brightfield microscopy, automated and metabolic cell analysis, transmission electron microscopy, flow cytometry, qPCR and secretome profiling.

Results

Mreg and MregIFNγ0 showed no differences in cell size and volume. However, phenotypically MregIFNγ0 exhibited fewer intracellular vesicles/vacuoles but larger pseudopodia-like extensions. MregIFNγ0 revealed reduced expression of IDO and PD-L1 (P < 0.01 for both). They were positive for CD80, CD14, CD16 and CD38 (P < 0.0001vs. Mreg for all), while the majority of MregIFNγ0 did not express CD206, CD56, and CD103 on their cell surface (P < 0.01 vs. Mreg for all). In terms of their secretomes, MregIFNγ0 differed significantly from Mreg. MregIFNγ0 media exhibited reduced levels of ENA-78, Osteopontin and Serpin E1, while the amounts of MIG (CXCL9) and IP10 were increased.

Conclusion

Exposing CD14+ monocytes to an alternatively timed IFNγ stimulation results in a novel macrophage subtype which possess additional M1-like features (MregIFNγ0). MregIFNγ0 may therefore have the potential to serve as cellular therapeutics for clinical applications beyond those covered by M2-like Mreg, including immunomodulation and tumor treatment.
Implementation of shared decision-making about rooming-in: A before and after an audit of breastfeeding in Taiwan
Authors: Hung Hsiao-Ying , Wen Chun-Che , Su Pei-Fang , Man Shek-Yip , Chang Ying-Ju
Published: June 2024

Background

The 24-h rooming-in policy is crucial to the Baby-Friendly Hospital Initiative (BFHI) for promoting breastfeeding. However, this policy may restrict maternal autonomy. In 2018, to integrate women’s preferences into care decisions, Taiwan’s Baby-Friendly certification included prenatal shared decision-making (SDM) for rooming-in. Prior to 2018, maternal knowledge, considerations, and intentions regarding rooming-in and the impact of prenatal SDM were unknown.

Methods

A retrospective electronic medical record cohort study was conducted in southern Taiwan. Data on healthy postpartum women eligible for rooming-in and breastfeeding for the years 2017 and 2019, reflecting the periods before and after prenatal SDM was introduced, were gathered. Maternal and newborn characteristics, maternal knowledge, considerations, and prenatal intentions for postpartum rooming-in and breastfeeding during hospitalization were collected. Additionally, data on actual postpartum rooming-in practices during hospitalization and exclusive breastfeeding (EBF) practices from birth to hospital discharge, to 1 month, and to 2 months postpartum were collected. Descriptive and non-parametric statistics were applied to analyze the data.

Results

A total of 621 women in 2017 and 311 women in 2019 were included. After prenatal SDM was introduced, the rooming-in rate during hospitalization fell from 42.2% in 2017 to 25.6% in 2019 (p < 0.001), and the EBF rate declined from 45.9% to 35.7% (p = 0.01). Additionally, the 1-month postpartum EBF rate decreased from 46.4% in 2017 (n = 571) to 44.3% in 2019 (n = 264), and the 2-month postpartum EBF rate dropped from 45.5% in 2017 (n = 591) to 40.2% (n = 308). According to the 2019 Patient Decision Aids responses (n = 236), women demonstrated limited understanding of rooming-in, with only 40.7% expressing an intention toward 24-h rooming-in. Women of older maternal age (p < 0.001), with a graduate degree (p = 0.02), full-time employment (p = 0.04), and concerns about rest disruption (p < 0.001), were more likely to prefer non-24-h rooming-in.

Conclusions

Initiatives must promote prenatal SDM to enable healthcare providers to address misconceptions and tailor education, thereby increasing women’s intention toward 24-h rooming-in and EBF. Future research should explore women’s experiences and unmet needs at BFHI facilities to inform the construction of a baby- and mother-friendly environment.
How effective is proximal fibular osteotomy in redistributing joint pressures? Insights from an HTO comparative in-silico study
Authors: Morales Avalos Jorge Eduardo , Morales-Avalos Rodolfo , Martínez-Guajardo Karla V. , Pacheco-García Luis Miguel , Perelli Simone , Monllau Joan Carles , Sánchez Egea Antonio J. , Serrancoli Gil
Published: June 2024

Background

Knee osteoarthritis (KOA) represents a widespread degenerative condition among adults that significantly affects quality of life. This study aims to elucidate the biomechanical implications of proximal fibular osteotomy (PFO), a proposed cost-effective and straightforward intervention for KOA, comparing its effects against traditional high tibial osteotomy (HTO) through in-silico analysis.

Methods

Using medical imaging and finite element analysis (FEA), this research quantitatively evaluates the biomechanical outcomes of a simulated PFO procedure in patients with severe medial compartment genu-varum, who have undergone surgical correction with HTO. The study focused on evaluating changes in knee joint contact pressures, stress distribution, and anatomical positioning of the center of pressure (CoP). Three models are generated for each of the five patients investigated in this study, a preoperative original condition model, an in-silico PFO based on the same original condition data, and a reversed-engineered HTO in-silico model.

Results

The novel contribution of this investigation is the quantitative analysis of the impact of PFO on the biomechanics of the knee joint. The results provide mechanical evidence that PFO can effectively redistribute and homogenize joint stresses, while also repositioning the CoP towards the center of the knee, similar to what is observed post HTO. The findings propose PFO as a potentially viable and simpler alternative to conventional surgical methods for managing severe KOA, specifically in patients with medial compartment genu-varum.

Conclusion

This research also marks the first application of FEA that may support one of the underlying biomechanical theories of PFO, providing a foundation for future clinical and in-silico studies.
Current and future immunotherapeutic approaches in pancreatic cancer treatment
Authors: Farhangnia Pooya , Khorramdelazad Hossein , Nickho Hamid , Delbandi Ali-Akbar
Published: June 2024

Pancreatic cancer is a major cause of cancer-related death, but despondently, the outlook and prognosis for this resistant type of tumor have remained grim for a long time. Currently, it is extremely challenging to prevent or detect it early enough for effective treatment because patients rarely exhibit symptoms and there are no reliable indicators for detection. Most patients have advanced or spreading cancer that is difficult to treat, and treatments like chemotherapy and radiotherapy can only slightly prolong their life by a few months. Immunotherapy has revolutionized the treatment of pancreatic cancer, yet its effectiveness is limited by the tumor's immunosuppressive and hard-to-reach microenvironment. First, this article explains the immunosuppressive microenvironment of pancreatic cancer and highlights a wide range of immunotherapy options, including therapies involving oncolytic viruses, modified T cells (T-cell receptor [TCR]-engineered and chimeric antigen receptor [CAR] T-cell therapy), CAR natural killer cell therapy, cytokine-induced killer cells, immune checkpoint inhibitors, immunomodulators, cancer vaccines, and strategies targeting myeloid cells in the context of contemporary knowledge and future trends. Lastly, it discusses the main challenges ahead of pancreatic cancer immunotherapy.