bluuebunny/crossref_metadata_2025_split huggingface dataset:
Results of a 1-Year Follow-Up Sleep Apnea Screening and Referral Initiative During Routine Yearly Examination of Environmental Inspection Workers
Authors: Mackey Thomas A. 
Published: January 2022

Background: There are strong links between obstructive sleep apnea (OSA), chronic disease, mental health, job performance, and motor vehicle accidents. Corporate wellness clinics and health monitoring programs present ideal settings to educate and screen employees for OSA. Methods: In January 2020, the Stop-Bang Sleep Apnea Questionnaire was added to the yearly health monitoring program of 571 State of Texas air, water, and hazardous waste workers as part of routine care. Medium- and high-risk (HR) scoring employees were counseled to seek follow-up care from a primary-care provider (PCP). The January 2021 exams provided an opportunity to determine the success of counseling efforts. Findings: Of the 479 returning employees in 2021, 24 (49%) of HR and 17 (21.8%) of intermediate risk (IR) had discussed OSA with a PCP. Seven (14.3%) HR and 1 (<1%) IR employee underwent a sleep study and 4 (8.2%) were prescribed continuous positive airway pressure (CPAP). Conclusions/Application to Practice: Screening for OSA at the workplace was inexpensive and, when diagnosed and treated, can mitigate associated chronic disease, improve worker productivity, and reduce associated accidents and injuries. The described OSA screening delivered value to the employer and employees. The screening was performed at a very low cost, involved little time on the part of the nurse practitioner and employees, brought signs and symptoms of OSA to the consciousness level of 571 employees, encouraged at-risk participants to discuss OSA with a PCP and led to 4 (8.2%) being prescribed CPAP.
Associating drug sensitivity with differentiation status identifies effective combinations for acute myeloid leukemia
Authors: Kurtz Stephen E. , Eide Christopher A. , Kaempf Andy , Long Nicola , Bottomly Daniel , Nikolova Olga , Druker Brian J. , McWeeney Shannon K. , Chang Bill H. , Tyner Jeffrey W. , Agarwal Anupriya 
Published: January 2022

Abstract
Using ex vivo drug screening of primary patient specimens, we identified the combination of the p38 MAPK inhibitor doramapimod (DORA) with the BCL2 inhibitor venetoclax (VEN) as demonstrating broad, enhanced efficacy compared with each single agent across 335 acute myeloid leukemia (AML) patient samples while sparing primary stromal cells. Single-agent DORA and VEN sensitivity was associated with distinct, nonoverlapping tumor cell differentiation states. In particular, increased monocytes, M4/M5 French-American-British classification, and CD14+ immunophenotype tracked with sensitivity to DORA and resistance to VEN but were mitigated with the combination. Increased expression of MAPK14 and BCL2, the respective primary targets of DORA and VEN, were observed in monocytic and undifferentiated leukemias, respectively. Enrichment for DORA and VEN sensitivities was observed in AML with monocyte-like and progenitor-like transcriptomic signatures, respectively, and these associations diminished with the combination. The mechanism underlying the combination’s enhanced efficacy may result from inhibition of p38 MAPK-mediated phosphorylation of BCL2, which in turn enhances sensitivity to VEN. These findings suggest exploiting complementary drug sensitivity profiles with respect to leukemic differentiation state, such as dual targeting of p38 MAPK and BCL2, offers opportunity for broad, enhanced efficacy across the clinically challenging heterogeneous landscape of AML.
To culture or not to culture: careful assessment of metabarcoding data is necessary when evaluating the microbiota of a modified-atmosphere-packaged vegetarian meat alternative throughout its shelf-life period
Authors: Duthoo E. , De Reu K. , Leroy F. , Weckx S. , Heyndrickx M. , Rasschaert G. 
Published: January 2022

Abstract
Background
As the increased consumption of ready-to-eat meat alternatives is a fairly recent trend, little is known about the composition and dynamics of the microbiota present on such products. Such information is nonetheless valuable in view of spoilage and food safety prevention. Even though refrigeration and modified-atmosphere-packaging (MAP) can extend the shelf-life period, microbial spoilage can still occur in these products. In the present study, the microbiota of a vegetarian alternative to poultry-based charcuterie was investigated during storage, contrasting the use of a culture-dependent method to a culture-independent metagenetic method.

Results
The former revealed that lactic acid bacteria (LAB) were the most abundant microbial group, specifically at the end of the shelf-life period, whereby Latilactobacillus sakei was the most abundant species. Metabarcoding analysis, in contrast, revealed that DNA of Xanthomonas was most prominently present, which likely was an artifact due to the presence of xanthan gum as an ingredient, followed by Streptococcus and Weissella.

Conclusions
Taken together, these results indicated that Lb. sakei was likely the most prominent specific spoilage organisms (SSO) and, additionally, that the use of metagenetic analysis needs to be interpreted with care in this specific type of product. In order to improve the performance of metagenetics in food samples with a high DNA matrix but a low bacterial DNA load, selective depletion techniques for matrix DNA could be explored.
Group-tailored feedback on online mental health screening for university students: using cluster analysis
Authors: Lee Seonmi , Lim Jiwoo , Lee Sangil , Heo Yoon , Jung Dooyoung 
Published: January 2022

Abstract
Background
The method by which mental health screening result reports are given affects the user’s health behavior. Lists with the distribution of scores in various mental health areas is difficult for users to understand, and if the results are negative, they may feel more embarrassed than necessary. Therefore, we propose using group-tailored feedback, grouping people of similar mental health types by cluster analysis for comprehensive explanations of multidimensional mental health.

Methods
This cross-sectional, observational study was conducted using a qualitative approach based on cluster analysis. Data were collected via a developed mental screening website, with depression, anxiety, sleep problems, perfectionism, procrastination, and attention assessed for 2 weeks in January 2020 in Korea. Participants were randomly recruited, and sample size was 174. Total was divided into 25 with severe depression/anxiety (SDA+) and 149 without severe depression/anxiety (SDA-) according to the PHQ-9 and GAD-7 criteria. Cluster analysis was conducted in each group, and an ANOVA was performed to find significant clusters. Thereafter, structured discussion was performed with mental health professionals to define the features of the clusters and construct the feedback content initially. Thirteen expert counselors were interviewed to reconstruct the content and validate the effectiveness of the developed feedback.

Results
SDA- was divided into 3 using the k-means algorithm, which showed the best performance (silhouette score = 0.32, CH score = 91.67) among the clustering methods. Perfectionism and procrastination were significant factors in discretizing the groups. SDA+ subgroups were integrated because only 25 people belonged to this group, and they need professional help rather than self-care. Mental status and treatment recommendations were determined for each group, and group names were assigned to represent their features. The developed feedback was assessed to improve mental health literacy (MHL) through integrative and understandable explanations of multidimensional mental health. Moreover, it appeared that a sense of belonging was induced to reduce reluctance to face the feedback.

Conclusions
This study suggests group-tailored feedback using cluster analysis, which identifies groups of university students by integrating multidimensions of mental health. These methods can help students increase their interest in mental health and improve MHL to enable timely help.
Predicting medical usage rate at mass gathering events in Belgium: development and validation of a nonlinear multivariable regression model
Authors: Scheers Hans , Van Remoortel Hans , Lauwers Karen , Gillebeert Johan , Stroobants Stijn , Vranckx Pascal , De Buck Emmy , Vandekerckhove Philippe 
Published: January 2022

Abstract
Background
Every year, volunteers of the Belgian Red Cross provide onsite medical care at more than 8000 mass gathering events and other manifestations. Today standardized planning tools for optimal preventive medical resource use during these events are lacking. This study aimed to develop and validate a prediction model of patient presentation rate (PPR) and transfer to hospital rate (TTHR) at mass gatherings in Belgium.

Methods
More than 200,000 medical interventions from 2006 to 2018 were pooled in a database. We used a subset of 28 different mass gatherings (194 unique events) to develop a nonlinear prediction model. Using regression trees, we identified potential predictors for PPR and TTHR at these mass gatherings. The additional effect of ambient temperature was studied by linear regression analysis. Finally, we validated the prediction models using two other subsets of the database.

Results
The regression tree for PPR consisted of 7 splits, with mass gathering category as the most important predictor variable. Other predictor variables were attendance, number of days, and age class. Ambient temperature was positively associated with PPR at outdoor events in summer. Calibration of the model revealed an R2 of 0.68 (95% confidence interval 0.60–0.75). For TTHR, the most determining predictor variables were mass gathering category and predicted PPR (R2 = 0.48). External validation indicated limited predictive value for other events (R2 = 0.02 for PPR; R2 = 0.03 for TTHR).

Conclusions
Our nonlinear model performed well in predicting PPR at the events used to build the model on, but had poor predictive value for other mass gatherings. The mass gathering categories “outdoor music” and “sports event” warrant further splitting in subcategories, and variables such as attendance, temperature and resource deployment need to be better recorded in the future to optimize prediction of medical usage rates, and hence, of resources needed for onsite emergency medical care.
A comparative study of the sarcopenia screening in older patients with interstitial lung disease
Authors: Hanada Masatoshi , Sakamoto Noriho , Ishimoto Hiroshi , Kido Takashi , Miyamura Takuto , Oikawa Masato , Nagura Hiroki , Takeuchi Rina , Kawazoe Yurika , Sato Shuntaro , Hassan S. Ahmed , Ishimatsu Yuji , Takahata Hideaki , Mukae Hiroshi , Kozu Ryo 
Published: January 2022

Abstract
Background
The Asian Working Group for Sarcopenia 2019 (AWGS 2019) is the gold standard diagnostic criteria for sarcopenia in Asian populations. The calf circumference (CalF), the strength, assistance in walking, rising from a chair, climbing stairs, and falls (SARC-F) and the SARC-CalF questionnaires for sarcopenia screening have been used by AWGS 2019. The aim of this study was to assess accuracy of these three sarcopenia screening tools in patients with interstitial lung disease.

Methods
In this cross-sectional study, stable patients with interstitial lung disease were enrolled. The SARC-F, SARC-CalF, and CalF, used in patients with interstitial lung disease, were compared to the diagnostic criteria proposed by AWGS 2019. The accuracy of screening tools was compared using sensitivity and specificity. Moreover, areas under the receiver operating characteristic curves (AUC) were computed.

Results
Seventy eight patients were analyzed, and sarcopenia was identified in 25 (32.1%) patients with interstitial lung disease by the AWGS 2019 criteria. The sensitivity of the CalF was highest (96%) of the three screening tools, while the specificity was 60%. The sensitivity of SARC-F and SARC-CalF were 24% and 68%, while the specificity were 92% and 66%, respectively. The AUCs of CalF, SARC-F, and SARC-CalF in all patients were 0.78, 0.58, and 0.67, respectively.

Conclusions
The CalF is most suitable for screening sarcopenia in patients with interstitial lung disease, while SARC-F and SARC-CalF are not.
1-year trajectories of patients undergoing primary total hip arthroplasty: Patient reported outcomes and resource needs according to education level
Authors: Gonzalez Amanda I. , Nguyen Uyen-Sa D. T. , Franklin Patricia , Barea Christophe , Hannouche Didier , Lübbeke Anne 
Published: January 2022

AbstractBackgroundObjectives were first to evaluate by education level one-year trajectories of pain, function and general health, as well as hospital resource and medication needs in patients undergoing primary total hip arthroplasty (THA); and second, to evaluate whether outcome differences are related to existing baseline differences in health and disease severity.MethodsWe included all primary THAs from a public hospital-based prospective arthroplasty registry, performed in a high-income country 2010 to 2017. Education was classified in three levels: ≤8years of schooling (low), 9-12years (medium), and ≥13years (high). Pain and function prior to and one-year after surgery were assessed with the Western Ontario McMaster Universities score (WOMAC) and general health with the 12-item short-form health survey (SF-12).ResultsOverall 963 patients were included, 340 (35.3%) with low, 306 (31.8%) with medium, and 317 (32.9%) with high education. With increasing educational level preoperative scores for pain, function and SF-12 mental health component increased. One year after surgery improvement was observed in all education categories for WOMAC pain and function, SF-12 mental and physical component. However, absolute postoperative scores remained lower in all four domains for the low education group. After adjustment for baseline characteristics differences were much attenuated and no longer significant. There was also greater resource need in low educated patients.ConclusionsThe inferior absolute results one year after surgery in less educated patients were largely due to older age, worse preoperative health and greater symptom severity calling for greater attention to timely and equal management, for more targeted perioperative care and increased support for the lower education group.
Bioinformatics screening the novel and promising targets of curcumin in hepatocellular carcinoma chemotherapy and prognosis
Authors: Yang Tingting , Chen Yibiao , Xu Jiexuan , Li Jinyuan , Liu Hong , Liu Naihua 
Published: January 2022

Abstract
Background
The aim of present study was to screen the novel and promising targets of curcumin in hepatocellular carcinoma diagnosis and chemotherapy.

Methods
Potential targets of curcumin were screened from SwissTargetPrediction, ParmMapper and drugbank databases. Potential aberrant genes of hepatocellular carcinoma were screened from Genecards databases. Fifty paired hepatocellular carcinoma patients’ gene expression profiles from the GEO database were used to test potential targets of curcumin. Besides, GO analysis, KEGG pathway enrichment analysis and PPI network construction were used to explore the underlying mechanism of candidate hub genes. ROC analysis and Kaplan-Meier analysis were used to evaluate the diagnostic and prognostic value of candidate hub genes, respectively. Real-time PCR was used to verify the results of bioinformatics analysis.

Results
Bioinformatics analysis results suggested that AURKA, CDK1, CCNB1, TOP2A, CYP2B6, CYP2C9, and CYP3A4 genes served as candidate hub genes. AURKA, CDK1, CCNB1 and TOP2A were significantly upregulated and correlated with poor prognosis in hepatocellular carcinoma, AUC values of which were 95.7, 96.9, 98.1 and 96.1% respectively. There was not significant correlation between the expression of CYP2B6 and prognosis of hepatocellular carcinoma, while CYP2C9 and CYP3A4 genes were significantly downregulated and correlated with poor prognosis in hepatocellular carcinoma. AUC values of CYP2B6, CYP2C9, and CYP3A4 were 96.0, 97.0 and 88.0% respectively. In vitro, we further confirmed that curcumin significantly downregulated the expression of AURKA, CDK1, and TOP2A genes, while significantly upregulated the expression of CYP2B6, CYP2C9, and CYP3A4 genes.

Conclusions
Our results provided a novel panel of AURKA, CDK1, TOP2A, CYP2C9, and CYP3A4 candidate genes for curcumin related chemotherapy of hepatocellular carcinoma.
How technology-enhanced experiential e-learning can facilitate the development of person-centred communication skills online for health-care students: a qualitative study
Authors: Liao Faith , Murphy David , Wu Jeng-Cheng , Chen Chien-Yu , Chang Chun-Chao , Tsai Po-Fang 
Published: January 2022

Abstract
Background
The COVID-19 pandemic brought a new challenge to medical education—health-care students had fewer opportunities to interact with and treat real patients in clinical settings. Interpersonal communication skills are often developed through human interaction and communication in person, and few studies have proposed feasible digital solutions to develop learners’ communication skills. Consequently, understanding how medical teachers facilitate and implement online training programmes, with feasible instruments, to enhance students’ learning effectiveness when in-person training is not possible is critical.

Methods
By using a convenience sampling method, we recruited 26 health-care students from seven medical schools in Taiwan. Through semistructured interviews and the thematic analysis technique, we analysed the latent learning factors from the experience of implementing the technology-enhanced experiential e-learning tool ‘mPath’.

Results
Three themes were generated: A) transferring theory into practice, B) increasing authenticity with analytical features, and C) maintaining autonomy with nondirective learning. The features accessibility, flexibility, intractability, and visualisation with the characteristics of remote accessibility and flexibility, repetition and retrospect, feedback requesting, and visualised analytical reports were considered to enhance learning outcomes.

Conclusion
This study indicated how online training using technology could develop the participants’ person-centred communication skills and what features influenced the learning outcomes of social distancing. mPath may be a feasible online learning approach and has provided inspiration for developing health-care students’ communication skills when in-person training is not possible.
A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow
Authors: Harford Samuel , Del Rios Marina , Heinert Sara , Weber Joseph , Markul Eddie , Tataris Katie , Campbell Teri , Vanden Hoek Terry , Darabi Houshang 
Published: January 2022

Abstract
Background
A growing body of research has shown that machine learning (ML) can be a useful tool to predict how different variable combinations affect out-of-hospital cardiac arrest (OHCA) survival outcomes. However, there remain significant research gaps on the utilization of ML models for decision-making and their impact on survival outcomes. The purpose of this study was to develop ML models that effectively predict hospital’s practice to perform coronary angiography (CA) in adult patients after OHCA and subsequent neurologic outcomes.

Methods
We utilized all (N = 2398) patients treated by the Chicago Fire Department Emergency Medical Services included in the Cardiac Arrest Registry to Enhance Survival (CARES) between 2013 and 2018 who survived to hospital admission to develop, test, and analyze ML models for decisions after return of spontaneous circulation (ROSC) and patient survival. ML classification models, including the Embedded Fully Convolutional Network (EFCN) model, were compared based on their ability to predict post-ROSC decisions and survival.

Results
The EFCN classification model achieved the best results across tested ML algorithms. The area under the receiver operating characteristic curve (AUROC) for CA and Survival were 0.908 and 0.896 respectively. Through cohort analyses, our model predicts that 18.3% (CI 16.4–20.2) of patients should receive a CA that did not originally, and 30.1% (CI 28.5–31.7) of these would experience improved survival outcomes.

Conclusion
ML modeling effectively predicted hospital decisions and neurologic outcomes. ML modeling may serve as a quality improvement tool to inform system level OHCA policies and treatment protocols.
Hearty recipes for health: the Hakka medicinal soup in Guangdong, China
Authors: Ding Mingyan , Shi Shi , Luo Binsheng 
Published: January 2022

Abstract
Background
The Hakka are a subgroup of the Han Chinese, originally from northern China and mainly living in southern China now. Over hundreds of years, the Hakka have developed their own medical practices to prevent and cure diseases, such as medicinal soup, an important characteristic of Hakka cuisine. This study aims at documenting plant taxa used to make Hakka medicinal soup, along with their associated ethnomedical knowledge.

Methods
Data on Hakka soup-making plants were collected through key-informant interviews, semi-structured interviews, participatory field collection, and direct observation. The choosing of participants has followed the snowball sampling method. Herbs used for preparing medicinal soup were purchased on the local market or collected from the wild, and voucher specimens were collected and identified. The study result was also compared with published studies on soup-making plants in other parts of Guangdong province and the Hakka areas in Fujian Province of China.

Results
Eighty-three taxa belonging to 70 genera within 38 families were listed by our informants as being used to treat 55 kinds of health problems. Most documented plants are herbaceous species, followed by shrubs and woody liana. Roots were the most frequently used plant parts for medicinal purposes, followed, in descending order, by the whole plant, rhizomes, and flowers. Most plants used to prepare medicinal soup are wild-harvested (56 species), 4 cultivated, and 23 wild harvested or cultivated. According to the comparison, 18 Hakka medicinal soup species are shown both in Fujian Province and Guangdong Province. The Hakka soup-making plants in both provinces share very similar therapeutic functions. This study helps to extend the Hakka menu in both provinces. The study comparison also showed a big difference in the herb ingredients between Guangdong Hakka medicinal soup and Cantonese slow-cooked soup.

Conclusion
Hakka medicinal soup is an important feature of the Hakka dietary culture. More studies are needed to be undertaken, especially on the efficacy and safety of this medicinal soup. Moreover, cultivation and conservation efforts are required to ensure the sustainability of the species that are used as ingredients in the soup. Consequently, further commercial development of medicinal soup should be promoted.