bluuebunny/crossref_metadata_2025 huggingface dataset:
Safety and effectiveness of vortioxetine for major depressive disorder: Real-world evidence from a population-based study in South Korea
Authors: Moon Seok Woo , Kim Jee Wook , Kim Do Hoon , Lee Kyu Young , Reines Elin Heldbo , Lee Minah , Park Yoo Jin
Published: March 2023

Background

A post-marketing surveillance study was conducted to assess the real-world safety and effectiveness of vortioxetine for the treatment of major depressive disorder (MDD) in South Korea.

Methods

Adult patients aged 19–94 years receiving vortioxetine for MDD at 72 hospitals and clinics in South Korea between 19th August 2014 and 18th August 2020 were included. Patients were followed for up to 24±2 weeks, at up to three visits. Adverse events (AEs) and effectiveness, assessed by both clinician and patient-reported measures, were analyzed.

Results

A total of 3,263 patients (mean age: 51.28 years) were included in the safety set; 1,095 were aged ≥65 years. The majority of the safety set (61.97%) were female. The overall rate of any AEs and serious AEs were 17.13 and 1.56%, respectively. The majority of AEs were mild (88.32%). The rates of AEs did not differ statistically by age (≥65 years: 16.89% [185/1,095] versus <65 years: 17.25% [374/2,168)], p=0.7989), sex (male: 15.95% [198/1,241] versus female: 17.85% [361/2,022], p=0.1623), or liver impairment (with liver impairment: 20.90% [14/67] versus without liver impairment: 17.05% [545/3,196], p=0.4087). Effectiveness was assessed in 1,918 patients. By 24±2 weeks, there were significant clinical improvements from baseline, assessed by change in Montgomery-Asberg Depression Rating Scale total score (mean±standard deviation [SD]: -10.49±9.42 points, p <0.0001), the proportion of patients with improved symptoms using the Clinical Global Impression - Improvement scores (79.29%), and in both patient-reported measures, with a significant improvement in the Korean Version of the Perceived Deficits Questionnaire-Depression (mean±SD: -6.06±13.23, p <0.0001) and Digit Symbol Substitution Test (mean±SD: 4.83±9.81, p <0.0001) total scores from baseline. Similar to the safety profiles, the proportions of patients with improved symptoms compared with baseline using the Clinical Global Impression – Improvement scores did not differ by age (≥65 years: 82.09% versus <65 years: 78.32%, p=0.0511), sex (male: 77.45% versus female: 81.01%, p=0.0587), or liver impairment (with liver impairment: 67.57% versus without liver impairment: 79.85%, p=0.0663).

Conclusion

Vortioxetine appears to be well-tolerated and effective for treating MDD patients in the real-world setting in South Korea, irrespective of age, sex, and liver impairment, reflecting the known profile of vortioxetine based on studies worldwide.
Sport participation, acculturative stress, and depressive symptoms among international college students in the United States
Authors: Yim Hyosoon , Kim Amy Chan Hyung , Du James , James Jeffrey D.
Published: March 2023

Introduction

The distinctive social nature of sport in its capacity to promote immigrants’ adaptation to the new society has been regarded as a vehicle to cope with adverse mental health outcomes derived from acculturative stress (AS) and feelings of marginalization. However, the evidence on the relationship between sport participation (SP), AS, and mental health have been lacking and fragmented. Recognizing this challenge, we examined the mediating effect of AS on the relationship between SP and depressive symptoms (DS) among international college students in the USA.

Methods

A total of 203 international college students in the USA were recruited via Prolific. The instrumentation included previously validated measures: SP (SLIM-18), AS (ASSIS), DS (CES-D-10), sense of coherence (SOC-13), and demographic characteristics.

Results

Mediation analysis showed a significant association between (1) SP and DS (ß = −0.030, p < 0.05) and (2) AS and DS (ß = 0.053, p < 0.001), while (3) no significant indirect effect of AS was found [ß = −0.001, SE = 0.0003, 95% CI (−0.008, 0.004)].

Discussion

Even though several previous scholars have argued that SP is an effective tool to cope with AS among international students, the present study implies this may not be applied to all international students. Specifically, AS and DS among European participants were lower than those from non-European countries, including Asia. Future studies using meta-analysis could be beneficial to examine the external validity of the previous studies on the relationship between SP, acculturation, and mental health to address this potential heterogeneity on the level of AS based on their origin countries or continents. The current study provides meaningful implications for adopting the transformative marketing perspective, which is a marketing approach that pursues positive social outcomes by promoting positive behavior of the target population.
Incorporating multi-stage diagnosis status to mine associations between genetic risk variants and the multi-modality phenotype network in major depressive disorder
Authors: Zhang Li , Pang Mengqian , Liu Xiaoyun , Hao Xiaoke , Wang Meiling , Xie Chunming , Zhang Zhijun , Yuan Yonggui , Zhang Daoqiang
Published: March 2023

Depression (major depressive disorder, MDD) is a common and serious medical illness. Globally, it is estimated that 5% of adults suffer from depression. Recently, imaging genetics receives growing attention and become a powerful strategy for discoverying the associations between genetic variants (e.g., single-nucleotide polymorphisms, SNPs) and multi-modality brain imaging data. However, most of the existing MDD imaging genetic research studies conducted by clinicians usually utilize simple statistical analysis methods and only consider single-modality brain imaging, which are limited in the deeper discovery of the mechanistic understanding of MDD. It is therefore imperative to utilize a powerful and efficient technology to fully explore associations between genetic variants and multi-modality brain imaging. In this study, we developed a novel imaging genetic association framework to mine the multi-modality phenotype network between genetic risk variants and multi-stage diagnosis status. Specifically, the multi-modality phenotype network consists of voxel node features and connectivity edge features from structural magnetic resonance imaging (sMRI) and resting-state functional magnetic resonance imaging (rs-fMRI). Thereafter, an association model based on multi-task learning strategy was adopted to fully explore the relationship between the MDD risk SNP and the multi-modality phenotype network. The multi-stage diagnosis status was introduced to further mine the relation among the multiple modalities of different subjects. A multi-modality brain imaging data and genotype data were collected by us from two hospitals. The experimental results not only demonstrate the effectiveness of our proposed method but also identify some consistent and stable brain regions of interest (ROIs) biomarkers from the node and edge features of multi-modality phenotype network. Moreover, four new and potential risk SNPs associated with MDD were discovered.
Cost-effectiveness analysis of different screening and diagnostic strategies for sexually transmitted infections and bacterial vaginosis in women attending primary health care facilities in Cape Town
Authors: Smith Elise , Masson Lindi , Passmore Jo-Ann S. , Sinanovic Edina
Published: March 2023

Background

Genital inflammation associated with sexually transmitted infections (STIs) and bacterial vaginosis (BV) is considered a key driver in the HIV epidemic. A new rapid point-of-care test (POC) that detects genital inflammation in women—Genital InFlammation Test (GIFT)—was recently developed by researchers at the University of Cape Town. The objective of this study was to establish the cost-effectiveness of this novel intervention relative to other relevant screening and diagnostic strategies for the management of STIs and BV in women seeking care in the public health sector in South Africa.

Methods

A decision analysis model was developed for five different screening and diagnostic strategies for women incorporating syndromic management, screening with GIFT and using etiological diagnosis. A decision tree was constructed using Microsoft Excel Office 365, and cost and effectiveness parameters were obtained from published literature and market prices. The model incorporated all clinic-level and treatment costs associated with diagnosing and treating a single episode of disease. The effectiveness of each approach was proxied by its sensitivity. One-way and threshold sensitivity analyses were conducted to test key uncertainties and assumptions in the model.

Results

Screening with GIFT, and following with antibiotic treatment according to syndromic management guidelines for GIFT-positive cases, was the most cost-effective strategy with an incremental cost-effectiveness ratio (ICER) of USD 11.08 per women diagnosed with an STI(s) and/or BV and provided treatment. This strategy resulted in lower rates of overtreatment compared to syndromic management, but higher rates compared to etiological diagnosis using nucleic acid amplification tests and microscopy. However, following a GIFT positive test with etiological diagnosis prior to treatment did not increase the effectiveness, but dramatically increased the cost.

Conclusion

Screening with GIFT and treating positive cases according to syndromic management guidelines is the most cost-effective strategy for the management of STIs and BV. GIFT has a potential to significantly improve the management of STIs and BV in women by identifying asymptomatic women and reducing their risk of HIV infection. This analysis presents a first step in establishing the cost-effectiveness of these interventions and paves the way for further research to develop optimal context-specific implementation strategies.
Barriers to treatment and care for depression among the youth in Uganda: The role of mental health literacy
Authors: Amone-P'Olak Kennedy , Kakinda Adrian Ivan , Kibedi Henry , Omech Bernard
Published: March 2023

Background

Depression represents a significant mental health problem (MHP) in low- and middle-income countries (LMICs), especially among early adults. Nevertheless, most early adults with depression do not seek treatment. Failure to recognize depression and knowledge about mental health literacy (MHL) may contribute to poor help-seeking behavior. This study assessed MHL, access and barriers to mental health care for depression among early adults in Uganda.

Methods

Data were collected from students in two of the largest universities in Uganda. Participants completed questionnaires on depression, MHL, sources of barriers and opportunities for MH service. Regression analyses and parametric tests were used to assess depression, access, barriers and opportunities to promote MH.

Results

About 12 per cent (n = 56) of the respondents were at the level of moderately severe to severe depression. Mental health literacy (MHL) scores were generally low ranging from “Ability to recognize mental disorders” (mean = 19.32, SD 3.22, range 18–32), and “Knowledge of risk factors” (mean = 4.39, SD 1.17, range 2–8), and “Knowledge of available information” (mean = 9.59, SD 2.53, range 5–20). Respondents reported barriers such as “stigma/discrimination” (65.53%), “lack of knowledge of where to receive help” (65.15%), “lack of trust in health workers” (62.56%), and “distant health facilities” (19.70%) that impede access to treatment and care. MHL significantly predicted depression (based on a continuous scale) (β = 0.63, 95% confidence interval [CI]: [0.56, 0.70]) with the regression model yielding a significant fit [R2 = 0.40, F (2, 460) = 189.84, p < 0.001].

Conclusions

MHL is low among university students amidst several barriers such as stigma, fear, and lack of trust. To attenuate the negative effects of MHPs on wellbeing and lower the increased risk of psychopathology into adulthood, it is critical to prioritize MHL, address barriers to treatment and care, and develop the requisite infrastructure to tackle depression among early adults.
Physical activity levels and energy intake according to the presence of metabolic syndrome among single-household elderly in Korea: Korean National Health and Nutrition Examination Survey 2016–2018
Authors: Sung Eun-Sook , Park Jonghoon
Published: March 2023

Background

Exercise and dietary and nutritional intake affect the risk and prevalence of metabolic syndrome (MetS) in elderly people, effects that may differ according to sex in elderly single households (ESH). This study aimed to analyze the differences in physical activity (PA) levels and energy intake according to sex and prevalence of MetS among elderly people in Korea to investigate the relationships between these factors.

Methods

Data from 893 elderly individuals (aged >65 years) were obtained from the Korean National Health and Nutrition Examination Survey (2016–2018). We analyzed PA levels (occupational and recreational PA and place movement) and energy intake (EI; total, carbohydrate, protein, and fat), and found that there were sex differences in both according to the presence or absence of MetS in ESH.

Results

Among both males and females, the MetS group had a significantly lower recreational moderate PA than the non-MetS group. However, total PA in males was significantly higher in the non-MetS than in the MetS group, but there was no significant difference in females. Furthermore, the EI of females did not differ in the presence or absence of MetS, except for fat intake, and in the nutritional intake of ESH in males, no difference was found in the presence or absence of MetS. We also found that in Odd ratio, “active” was associated with lowering high waist circumference (OR = 0.40, 95%CI = 0.21–0.76), and “very active” was associated with lower MetS occurrence (OR = 0.51, 95%CI = 0.33–0.81) and low high-density lipoprotein cholesterol (HDL-C) (OR = 0.55, 95%CI = 0.37–0.83).

Conclusions

Therefore, in the MetS group of ESH, there was a significant correlation of the MetS component in PA rather than EI. Male ESH require interventions that increase PA, while female ESH require nutrition interventions that increase and balance PA. Therefore, a new program is needed that promotes continuous interest and healthy lifestyles in consideration of the characteristics of ESH.
Non-human and human service efficiency of long-term care facilities in China
Authors: Zhang Liangwen , Han Ying , Fang Ya
Published: March 2023

Introduction

Care services provided by long-term care facilities (LTCFs) are currently plagued by care resource shortages and insufficient utilization. The analysis on the temporal and spatial distribution of human resources and non-human resources in LTCFs, could provide a basis to optimize resource allocation and efficient use of limited resources.

Methods

This study used data envelopment analysis to comprehensively evaluate the efficiency of human and non-human resources in different time spans and regions. The spatial Markov chain and spatial correlation were also applied to explore the heterogeneity of and correlation between the service efficiency of LTCFs in different regions and then analyzes the influencing factors of efficiency using Tobit regression model.

Results

The quantitative changes in the service efficiency of LTCFs in various provinces showed a “W” shape in two periods, ranging from 0.8 to 1.6. The overall efficiency of LTCFs in different regions had a lower probability to achieve short-term cross-stage development. Non-human resource efficiency presented a “cluster” distribution mode, demonstrating a great probability to achieve cross-stage development, which might be due to the regional disparities of economic development and land resource. Tobit regression analysis results also showed that the comprehensive efficiency of LTCFs decreases by 0.210 for every square increase in construction space variation. However, human resource efficiency had a significant spatial polarization, making it difficult to develop area linkages. The reason for this might be the nursing staff have relatively stable regional characteristics, weakening the inter-provincial spatial connection. We also found that female workers, aged between 35 and 45 can positively affect the efficiency of LTCFs. Those staff stay focused and improve their skills, which might improve the efficiency of LTCFs. So improving technology and service quality changes by increasing female workers, aged between 35 and 45, and avoiding excessive construction space changes can enhance the growth of service quality and personnel stability of LTCFs.

Conclusion

There is an urgent trade-off among staff quality improvement, resource reduction, construction excessive and substantial regional variation in efficiency. Therefore, strengthening policy support to encourage inter-regional initiatives, particularly highlighting the development of human resources interaction and common development is urgent.
Prevalence of malaria-helminth co-infections among children living in a setting of high coverage of standard interventions for malaria and helminths: Two population-based studies in Senegal
Authors: Afolabi Muhammed O. , Sow Doudou , Mbaye Ibrahima , Diouf Marie Pierre , Loum Mor Absa , Fall Elhadji Babacar , Seck Amadou , Manga Isaac A. , Cissé Cheikh , Camara Baba , Diouf Awa , Gaye Ndéye Aida , Colle Lo Aminata , Greenwood Brian , Ndiaye Jean Louis A.
Published: March 2023

Background

Concurrent infections of Plasmodium falciparum with Soil Transmitted Helminths (STH) and Schistosoma spp are still a major public health problem among children living in Sub-Saharan Africa. We conducted two prospective studies among children living in urban and rural settings of Senegal, where control programmes for malaria, STH and schistosomiasis have been sustained, to determine the prevalence of malaria-helminth co-infection.

Methods

We enrolled 910 children aged 1–14 years from Saraya and Diourbel districts of Senegal in June and November 2021, respectively. We collected finger-prick blood samples from the children for malaria parasite detection using microscopy and PCR methods. Stool samples were also collected and Kato-Katz and PCR methods were used to detect STH and S. mansoni; and Merthiolate-iodine-formalin (MIF) test for other intestinal protozoans. Urine samples were analyzed using a filtration test, Point of Care Circulating Cathodic Antigens (POC-CCA) and PCR methods for detection of S. haematobium. Statistical analyses were performed to compare the continuous and categorical variables across the two study sites and age groups, as well as using the adjusted Odds ratios (aOR) to explore risk factors for malaria-helminth co-infections.

Results

The overall prevalence of polyparasitism with P. falciparum, STH, S. haematobium and S. mansoni among children in the two study sites was 2.2% (20/910) while prevalence of P. falciparum-S. haematobium co-infection was 1.1% (10/910); P. falciparum-S. mansoni 0.7% (6/910) and P. falciparum with any intestinal protozoan 2.4% (22/910). Co-infection was slightly higher among 5–14 year old children (17/629, 2.7%; 95% CI: 1.43–3.97) than 1–4 years (3/281, 1.1%; 95% CI: −0.12–2.32) and, in boys (13/567, 2.3%; 95% CI: 1.27–3.96) than girls (7/343, 2.1%; 95% CI: 0.52–3.48). Children aged 5–14 years (aOR = 3.37; 95% CI: 0.82–13.77, p = 0.09), who were boys (aOR = 1.44; 95% CI: 0.48–4.36, p = 0.51) and lived in Saraya (aOR = 1.27; 95% CI: 0.24–6.69, p = 0.77) had a higher risk of malaria-helminth co-infection than other age group, in girls and those who lived in Diourbel. Living in houses with spaces between the walls and roofs as well as frequent contacts with water during swimming were statistically significant risk factors for malaria-helminth co-infection.

Conclusions

The prevalence of malaria-helminth co-infection is low in two districts in Senegal, possibly due to sustained implementation of effective control measures for malaria and NTDs. These findings could help to develop and implement strategies that would lead to elimination of malaria and helminths in the study areas.
Psychological distress, intimate partner violence and substance use in a representative sample from Mexico: A structural equation model
Authors: Ortega Ceballos Paola Adanari , Rivera Rivera Leonor , Reynales Shigematsu Luz Myriam , Austria Corrales Fernando , Toledano-Toledano Filiberto , Pérez Amezcua Berenice
Published: March 2023

Introduction

Intimate Partner Violence (IPV) is a public health concern associated with multiple adverse health outcomes, including psychological distress (PD).

Objective

To assess the association of IPV and psychological distress, and the mediation of tobacco and alcohol consumption in a national representative sample from Mexico.

Material and methods

Data from the Encuesta Nacional de Consumo de Drogas, Tabaco y Alcohol (ENCODAT) were analyzed. The sample included 34,864 people between the ages of 12 and 65 with a partner. Using Structural Equation Modeling (SEM), the association between IPV, use alcohol, tobacco and psychological distress was measured.

Results

The population was composed of women (51.9%) and men (48.1%); 15.1% (women = 18.2% and men = 11.9%) reported IPV in the last year. The prevalence of psychological distress in the last year was 3.3%, being 3.8% in women, and 2.7% in men. Results from the SEM in women indicated a direct positive effect of the IPV construct on psychological distress (β = 0.298, p < 0.01); these findings confirmed that IPV tended to systematically increase psychological distress. Likewise, the presence of IPV increased the consumption of tobacco (β = 0.077, p < 0.01) and alcohol (β = 0.072, p < 0.01). The SEM results in men showed that alcohol and tobacco consumption tended to increase in the presence of IPV (β = 0.121, p < 0.01, and β = 0.086, p < 0.01, respectively), and in turn, alcohol consumption and tobacco tended to increase psychological distress (β = 0.024, p < 0.01, and β = 0.025, p < 0.01, respectively).

Conclusion

This study indicated that in women, IPV had a direct effect on psychological distress and on alcohol and tobacco consumption. Meanwhile in men, alcohol and tobacco consumption had a mediating effect between IPV and psychological distress. The empirical findings of this study will contribute toward the design of public health policies for the prevention and attention of IPV, alcohol and tobacco consumption, and consequently address the mental health consequences derived from these problems.
COVID-19 vaccine hesitancy among adults in Hawassa City Administration, Sidama Region, Ethiopia: A community-based study
Authors: Yohannes Seblewongel , Alemayehu Akalewold , Woldesenbet Yohannes Markos , Tadele Temesgen , Dangiso Desta , Birhanu Muntasha , Woldesemayat Endrias Markos
Published: March 2023

Objective

The COVID-19 vaccine is one of the key measures to control the disease. However, some people are hesitant to take the vaccine. The objective of this study was to assess COVID-19 vaccine hesitancy and associated factors among adults in Hawassa City Administration, South Ethiopia.

Method

From March 1 to 30, 2022, we conducted a community-based cross-sectional study among randomly selected 622 adults in Hawassa City Administration. A multi-stage sampling technique was used to recruit the study participants. Data were collected through a pretested structured questionnaire that was administered by four trained high school graduates. Data entry and analysis were done using the SPSS version 20 statistical package. Descriptive statistics and logistic regression analysis were performed. Statistically significant associations were reported at p-value <0.05.

Result

Among the participants, 400 of them (64.3%) had a high level of knowledge about the COVID-19 vaccine) and 425 of them (68.3%) had a positive attitude toward the COVID-19 vaccine. The level of vaccine hesitancy was 165 (26.5%) and vaccine acceptance was 457 (73.5%). The main reason for willingness to take the vaccine was to protect oneself from COVID-19 (364 participants, 58.5%), and for unwillingness, it was fear of the vaccine (154 participants, 24.8%). Mass media was the main source of information about the vaccine (472 participants, 75.9%). Age (adjusted odds ratio (AOR): 2.1, 95% CI: 1.2–3.7), religion (AOR: 2.6, 95% CI: 1.1–5.9), history of COVID-19 disease (AOR: 4.6, 95% CI: 1.4–14.9), knowledge related to the COVID-19 vaccine (AOR: 1.9, 95% CI: 1.2–3.1), and attitude toward the COVID-19 vaccine (AOR: 13.2, 95% CI: 8.3–20.9) were factors associated with vaccine hesitancy.

Conclusion

A low proportion of COVID-19 vaccine hesitancy was observed among our study participants. Improving people's awareness could help to improve vaccine acceptance. It is important to focus interventions on the identified risk factors of vaccine hesitancy.
Consumer analysis and the role of information in sustainable choices: A natural experiment
Authors: Caferra Rocco , Imbert Enrica , Schirone Dario Antonio , Tiranzoni Paola , Morone Andrea
Published: March 2023

“I shop therefore I am” (R. Campbell), or putting it differently, we are what we buy, and the way we make our purchases influences the future choices of economic decision-makers. Therefore, our decisions are crucial in defining the future sustainability of the whole system. Despite the plethora of initiatives introduced to enhance consumers' consciousness, the gap between ideal and real consumption attitude still exists and is a non-negligible problem, since subjects' sustainability intention is not always followed by sustainable consumption. Therefore, by employing a natural field experiment, the present work explores consumers' real behavior toward sustainable switching. Specifically, this study examines how the impact of targeted communication leads to a market basket sustainable shift. Indeed, we observe how the consumer's basket composition varies from control (where no targeted communication is included) to treatment (where specific and detailed communication is introduced through ad-hoc on-site banner signals). Results show the positive impact of the communication; after the introduction of the communication, the share of sustainable products is higher compared with the non-sustainable set of products. As a further extension, we consider the role played by product aesthetics: even if the effect is marked for sustainable products preserving the characteristics of the conventional substitute, such effect vanishes when a subset of radically different products is considered.
Different names, different discrimination? How perceptions of names can explain rental discrimination
Authors: Martiniello Billie , Verhaeghe Pieter-Paul
Published: March 2023

Introduction

The aim of this research is to look into how signals carried by names can contribute to the explanation of why rental discrimination is measured. Ethnic discrimination on the rental housing market is a widespread phenomenon that is increasingly captured in an objective way by means of correspondence studies. This methodology assumes that the trigger for the measured discriminatory behavior is the signal of ethnic origin in names. Nonetheless, previous research found that names also contain other signals such as religiosity, social class and educational level.

Method

The current study relates data of 3.753 correspondence tests on the Flemish rental housing market in Belgium to survey data about the perception of the used names in the correspondence tests in terms of ethnic origin, gender, religiosity, social class and educational level. By doing so, we can set a step in the direction of why discrimination is measured.

Results and discussion

We find that realtors discriminate based on the perception of a name as religious, which we describe as religious taste-based discrimination. Besides, we also find indications for statistical discrimination. For landlords, the perception of a name as non-European increases discrimination, indicating ethnic taste-based discrimination.
Prediction of red blood cell transfusion after orthopedic surgery using an interpretable machine learning framework
Authors: Chen Yifeng , Cai Xiaoyu , Cao Zicheng , Lin Jie , Huang Wenyu , Zhuang Yuan , Xiao Lehan , Guan Xiaozhen , Wang Ying , Xia Xingqiu , Jiao Feng , Du Xiangjun , Jiang Guozhi , Wang Deqing
Published: March 2023

Objective

Postoperative red blood cell (RBC) transfusion is widely used during the perioperative period but is often associated with a high risk of infection and complications. However, prediction models for RBC transfusion in patients with orthopedic surgery have not yet been developed. We aimed to identify predictors and constructed prediction models for RBC transfusion after orthopedic surgery using interpretable machine learning algorithms.

Methods

This retrospective cohort study reviewed a total of 59,605 patients undergoing orthopedic surgery from June 2013 to January 2019 across 7 tertiary hospitals in China. Patients were randomly split into training (80%) and test subsets (20%). The feature selection method of recursive feature elimination (RFE) was used to identify an optimal feature subset from thirty preoperative variables, and six machine learning algorithms were applied to develop prediction models. The Shapley Additive exPlanations (SHAP) value was employed to evaluate the contribution of each predictor towards the prediction of postoperative RBC transfusion. For simplicity of the clinical utility, a risk score system was further established using the top risk factors identified by machine learning models.

Results

Of the 59,605 patients with orthopedic surgery, 19,921 (33.40%) underwent postoperative RBC transfusion. The CatBoost model exhibited an AUC of 0.831 (95% CI: 0.824–0.836) on the test subset, which significantly outperformed five other prediction models. The risk of RBC transfusion was associated with old age (>60 years) and low RBC count (<4.0 × 1012/L) with clear threshold effects. Extremes of BMI, low albumin, prolonged activated partial thromboplastin time, repair and plastic operations on joint structures were additional top predictors for RBC transfusion. The risk score system derived from six risk factors performed well with an AUC of 0.801 (95% CI: 0.794–0.807) on the test subset.

Conclusion

By applying an interpretable machine learning framework in a large-scale multicenter retrospective cohort, we identified novel modifiable risk factors and developed prediction models with good performance for postoperative RBC transfusion in patients undergoing orthopedic surgery. Our findings may allow more precise identification of high-risk patients for optimal control of risk factors and achieve personalized RBC transfusion for orthopedic patients.
Variety of rumen microbial populations involved in biohydrogenation related to individual milk fat percentage of dairy cows
Authors: Zhang Lei , Shen Hong , Zhang Jiyou , Mao Shengyong
Published: March 2023

Our objective was to investigate the contribution of the rumen microbiome on the individual milk fat percentage (MFP) of Holstein dairy cows under the same nutritional and management conditions. From 92 early lactation dairy cows, the top 10 with the highest MFP (HF; n = 10) and the last 10 with the lowest MFP (LF; n = 10) were selected for the study. As a result, the milk trans-10, cis-12 C18:2 content was significant lower in the HF group than that in the LF group (P < 0.001). The rumen acetate to propionate ratio was significant higher in the HF group than that in the LF group (P = 0.035). According to the results of 16S rRNA gene sequencing, a minor but significant difference existed between the groups (P = 0.040). Three genera of the family Lachnospiraceae and four genera of the order Bacteroidales were identified to be the biomarkers for the LF group and HF group in the LEfSe analysis, respectively. Three microbial modules enriched by the family Lachnospiraceae were positively related to the milk trans-10, cis-12 C18:2 content (rs > 0.60, P < 0.05). According to the results of shotgun metagenome sequencing, three kinds of linoleic acid (LA) isomerase genes were present in the gene pools of the rumen microbiome. Among them, the relative abundance of Bifidobacterium LA isomerase (BBI) was higher in the HF group than that in the LF group (P = 0.007). Three metagenome-assembled genomes (MAGs) with LA isomerase genes were positively correlated to the milk trans-10, cis-12 C18:2 content (rs> 0.40, P < 0.05). Furthermore, all of these three MAGs were found to be able to produce lactate. Taken together, these results indicate that the increased relative abundance of microbial population with the trans-10 biohydrogenation pathway within the rumen microbiome contributes to the decrease of MFP via the increase of rumen trans-10, cis-12 C18:2 production. This study provides a new perspective for the development of measures for improving the milking performance of dairy cows.
Potential revival of cholinesterase inhibitors as drugs in veterinary medicine
Authors: Žnidaršič Neža , Štrbenc Malan , Grgurevič Neža , Snoj Tomaž
Published: March 2023

The cholinergic system is involved in the regulation of all organ systems and has acetylcholine (ACh) as almost its only neurotransmitter. Any substance is called cholinergic if it can alter the action of acetylcholine. Cholinesterases (ChEs) are enzymes that enable the hydrolysis of acetylcholine and in this way ensure homeostasis in cholinergic synapses. Cholinesterase inhibitors (ChEi) are a group of indirect-acting cholinergic agonists that influence the activity of the cholinergic system. Several compounds that can inhibit cholinesterases are of importance to veterinary medicine from pharmacological and toxicological perspective. The frequency of their use in veterinary medicine has fluctuated over the years and is now reduced to a minimum. They are mainly used in agriculture as pesticides, and some are rarely used as parasiticides for companion animals and livestock. In recent years, interest in the use of new cholinesterase inhibitors has increased since canine cognitive dysfunction (CCD) became a recognized and extensively studied disease. Similar to Alzheimer's disease (AD) in humans, CCD can be treated with cholinesterase inhibitors that cross the blood–brain barrier. In this review, the mammalian cholinergic system and the drugs that interact with cholinesterases are introduced. Cholinesterase inhibitors that can be used for the treatment of CCD are described in detail.
Analysis of Electric Transmission Failure Induced by Electrostatic Migration and Deposition of Abrasive Dusts in SADA
Authors: Wang Tongben , Ma Zhifei , Jiang Jingming , Chen Qi
Published: March 2023

The electric transmission failure induced by the electrostatic migration and deposition of the friction-pair-produced abrasive dusts in the Solar Array Drive Assembly (SADA) is studied for the first time by integrating experiments and Finite Element Method (FEM) simulation. Particle morphology and composition are characterized by SEM and X-ray EDS, respectively. The size, distribution and average charge of the abrasive dusts are characterized by PSDA as well as the home-made particle charge measurement device. The results show that the dusts’ sizes are in the range of 10–40 μm, and the dusts are primarily composed of Ag and a small amount of Cu and S. Sliced abrasive dusts with an average diameter of 30 μm and a charge of 85 e are used for the FEM prediction of particle trajectory, which is consistent with the theoretical calculation results. The electromagnetic field distribution in the SADA and the electrostatic migration and deposition of abrasive dusts are predicted and analyzed by adopting the FEM method. The experimentally observed dusts’ trajectories in a vacuum chamber with 0.02 Pa vacuum degree are consistent with the simulation results, which qualitatively verifies the accuracy of the FEM model. The predicted results show that the irradiation-induced conductivity increase in polyimide material has little influence on the electric field distribution and the migration and deposition of the abrasive dusts but has great influence on the local current density. Both the potential differences between the two adjacent conducting rings and the loose contact between the electric brush and the conducting rings have significant influence on the migration and deposition of the abrasive dusts, which may greatly increase the surface discharge risk and the electrical transmission instability in the SADA. This study is conducive to the safe and stable operation of the on-orbit spacecrafts.
Damage Segmentation on High-Resolution Coating Images Using a Novel Two-Stage Network Pipeline
Authors: Hedrich Kolja , Hinz Lennart , Reithmeier Eduard
Published: March 2023

The automation of inspections in aircraft engines is an ever-increasing growing field of research. In particular, the inspection and quantification of coating damages in confined spaces, usually performed manually with handheld endoscopes, comprise tasks that are challenging to automate. In this study, 2D RGB video data provided by commercial instruments are further analyzed in the form of a segmentation of damage areas. For this purpose, large overview images, which are stitched from the video frames, showing the whole coating area are analyzed with convolutional neural networks (CNNs). However, these overview images need to be divided into smaller image patches to keep the CNN architecture at a functional and fixed size, which leads to a significantly reduced field of view (FOV) and therefore a loss of information and reduced network accuracy. A possible solution is a downsampling of the overview image to decrease the number of patches and increase this FOV for each patch. However, while an increased FOV with downsampling or a small FOV without resampling both exhibit a lack of information, these approaches incorporate partly different information and abstractions to be utilized complementary. Based on this hypothesis, we propose a two-stage segmentation pipeline, which processes image patches with different FOV and downsampling factors to increase the overall segmentation accuracy for large images. This includes a novel method to optimize the position of image patches, which leads to a further improvement in accuracy. After a validation of the described hypothesis, an evaluation and comparison of the proposed pipeline and methods against the single-network application is conducted in order to demonstrate the accuracy improvements.
Machine Learning Models of Exergoenvironmental Damages and Emissions Social Cost for Mushroom Production
Authors: Nabavi-Pelesaraei Ashkan , Ghasemi-Mobtaker Hassan , Salehi Marzie , Rafiee Shahin , Chau Kwok-Wing , Ebrahimi Rahim
Published: March 2023

Applying conventional methods for prediction of environmental impacts in agricultural production is not actually applicable because they usually ignore other aspects such as useful energy and economic consequence. As such, this article evaluates intelligent models for exergoenvironmental damage and emissions social cost (ESC) for mushroom production in Isfahan province, Iran, by three machine learning (ML) methods, namely adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN), and support vector regression (SVR). Accordingly, environmental life cycle damages, cumulative exergy demand, and ESC are examined by the ReCiPe2016 method for 100 tons of mushroom production after data collection by interview. Exergoenvironmental results reveal that, in human health and ecosystems, direct emissions, and resources and exergy categories, diesel fuel and compost are the main hotspots. Economic analysis also shows that total ESC is about 1035$. Results of ML models indicate that ANN with a 6-8-3 structure is the optimum topology for forecasting outputs. Moreover, a two-level structure of ANFIS has weak results for prediction in comparison with ANN. However, support vector regression (SVR) with an absolute average relative error (AARE) (%) between 0.85 and 1.03 (based on specific unit), a coefficient of determination (R2) between 0.989 and 0.993 (based on specific unit), and a root mean square error (RMSE) between 0.003 and 0.011 (based on specific unit) is selected as the best ML model. It is concluded that ML models can furnish comprehensive and applicable exergoenvironmental-economical assessment of agricultural products.
Improving Soil Fertility and Wheat Yield by Tillage and Nitrogen Management in Winter Wheat–Summer Maize Cropping System
Authors: Cui Haixing , Luo Yongli , Li Chunhui , Chang Yonglan , Jin Min , Li Yong , Wang Zhenlin
Published: March 2023

Soil degradation and high environmental costs impede agricultural production in North China. A 6-year field experiment was conducted to determine the effects of tillage practice and nitrogen application rate on changes in soil fertility and wheat yield. Four tillage systems (rotary tillage without maize straw return through 6 years, RT; rotary tillage with maize straw return through 6 years, RS; deep tillage with maize straw return through 6 years, DS; and rotary tillage through 2 years followed by deep tillage next year with maize straw applied for two cycles, RS/DS) and three N levels (HN, 300 kg N ha−1, refers to traditional farming practice; MN, 0.75 × HN, 225 kg N ha−1, to recommended N rate; and LN, 0.5 × HN, 150 kg N ha−1, to reduced N rate) were tested. The soil organic carbon, labile organic carbon, inorganic N, available phosphorus, and available potassium under straw return treatments were significantly higher than RT in the 0–30 cm soil layer (p < 0.05). The microbial diversity, invertase, urease, and alkaline phosphatase activities also increased when maize straw was returned. Tillage practices could distribute maize straw in different depths of the soil and then affect soil nutrients, enzyme activity, and microbial diversity. The RS treatment presented the greatest effects in the 0–10 cm layer, while more significant impacts were observed in DS and RS/DS treatments at the 10–30 cm depths. The levels of soil nutrients and enzyme activity increased with an increased N rate. Compared to that under LN, wheat yields increased under HN and MN treatments, whereas there were no significant differences between HN and MN (p > 0.05). An increasing tendency of grain yield was observed in DS and RS/DS, while conversely so in RS. RS/DS had lower farm costs than DS during the study duration. Thus, RS/DS at 225 kg N ha−1 is the best method for improving soil fertility and wheat yield.
A General Hybrid Modeling Framework for Systems Biology Applications: Combining Mechanistic Knowledge with Deep Neural Networks under the SBML Standard
Authors: Pinto José , Ramos João R. C. , Costa Rafael S. , Oliveira Rui
Published: March 2023

In this paper, a computational framework is proposed that merges mechanistic modeling with deep neural networks obeying the Systems Biology Markup Language (SBML) standard. Over the last 20 years, the systems biology community has developed a large number of mechanistic models that are currently stored in public databases in SBML. With the proposed framework, existing SBML models may be redesigned into hybrid systems through the incorporation of deep neural networks into the model core, using a freely available python tool. The so-formed hybrid mechanistic/neural network models are trained with a deep learning algorithm based on the adaptive moment estimation method (ADAM), stochastic regularization and semidirect sensitivity equations. The trained hybrid models are encoded in SBML and uploaded in model databases, where they may be further analyzed as regular SBML models. This approach is illustrated with three well-known case studies: the Escherichia coli threonine synthesis model, the P58IPK signal transduction model, and the Yeast glycolytic oscillations model. The proposed framework is expected to greatly facilitate the widespread use of hybrid modeling techniques for systems biology applications.
Heavy Youngsters—Habitat and Climate Factors Lead to a Significant Increase in Body Weight of Wild Boar Females
Authors: Gethöffer Friederike , Keuling Oliver , Maistrelli Claudia , Ludwig Tobias , Siebert Ursula
Published: March 2023

As one of the most abundant game species in Europe, European wild boar (Sus scrofa) populations prove highly adaptable to cultivated landscapes. The ongoing process of climate change and the high agricultural yields seem to further optimize the living conditions for this species. In long-term reproduction monitoring, we collected data on the body weight of wild boar females. Over an 18-year period, the body weight of wild boar females increased continuously, then stopped and decreased. It was possible to detect differences between the body weights of animals from forest and agricultural areas. For these areas, differences in body weight development also led to a significant distinction in the onset of puberty. We conclude that, even in a highly cultivated landscape, forested areas provide habitat characteristics that may strongly influence reproduction. Second, with dominant agricultural areas in Germany, wild boar reproduction has been favored in recent decades.
Validation of p53 Immunohistochemistry (PAb240 Clone) in Canine Tumors with Next-Generation Sequencing (NGS) Analysis
Authors: Brunetti Barbara , de Biase Dario , Dellapina Giulia , Muscatello Luisa Vera , Ingravalle Francesco , Tura Giorgia , Bacci Barbara
Published: March 2023

In human medicine, p53 immunohistochemistry (IHC) is a common method that is used for the identification of tumors with TP53 mutations. In veterinary medicine, several studies have performed IHC for p53 in canine tumors, but it is not known how well it actually predicts the mutation. The aim of this study was to estimate the accuracy of the IHC method for p53 (clone PAb240) using a lab-developed NGS panel to analyze TP53 mutations in a subset of malignant tumors in dogs. A total of 176 tumors were analyzed with IHC and then 41 were subjected to NGS analysis; among them, 15 were IHC positive and 26 were negative, and 16 out of 41 (39%) were found to be inadequate for NGS analysis. Excluding the non-evaluable cases at NGS, of the remaining eight IHC-positive cases, six were mutants and two were wild-type. Among the 17 IHC-negative cases, 13 were wild type, and 4 were mutants. The sensitivity was 60%, specificity was 86.7%, and the accuracy was 76%. These results suggest that when using IHC for p53 with this specific antibody to predict mutation, up to 25% wrong predictions can be expected.
Improvement of the Seminal Characteristics in Rams Using Agri-Food By-Products Rich in Phytomelatonin
Authors: Peña-Delgado Victoria , Carvajal-Serna Melissa , Fondevila Manuel , Martín-Cabrejas María A. , Aguilera Yolanda , Álvarez-Rivera Gerardo , Abecia José A. , Casao Adriana , Pérez-Pe Rosaura
Published: March 2023

The aim of this study was to evaluate the effect of a phytomelatonin-rich diet, including by-products from the food industry, on ram sperm quality and seminal plasma composition. Melatonin content in several by-products before and after in vitro ruminal and abomasal digestion was determined by HPLC-ESI-MS/MS. Finally, 20% of a mix of grape pulp with pomegranate and tomato pomaces was included in the rams’ diet, constituting the phytomelatonin-rich diet. Feeding the rams with this diet resulted in an increase in seminal plasma melatonin levels compared with the control group (commercial diet) in the third month of the study. In addition, percentages higher than those in the control group of morphologically normal viable spermatozoa with a low content of reactive oxygen species were observed from the second month onwards. However, the antioxidant effect does not seem to be exerted through the modulation of the antioxidant enzymes since the analysis of the activities of catalase, glutathione reductase and glutathione peroxidase in seminal plasma revealed no significant differences between the two experimental groups. In conclusion, this study reveals, for the first time, that a phytomelatonin-rich diet can improve seminal characteristics in rams.