bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urban-rural differences in catastrophic health expenditure among households with chronic non-communicable disease patients: evidence from China family panel studies
Authors: Fu Xian-zhi , Sun Qi-wei , Sun Chang-qing , Xu Fei , He Jun-jian 
Published: May 2021

AbstractBackgroundThe prevalence of chronic non-communicable diseases (NCDs) challenges the Chinese health system reform. Little is known for the differences in catastrophic health expenditure (CHE) between urban and rural households with NCD patients. This study aims to measure the differences above and quantify the contribution of each variable in explaining the urban-rural differences.MethodsUnbalanced panel data were obtained from the China Family Panel Studies (CFPS) conducted between 2012 and 2018. The techniques of Fairlie nonlinear decomposition and Blinder-Oaxaca decomposition were employed to measure the contribution of each independent variable to the urban-rural differences.ResultsThe CHE incidence and intensity of households with NCD patients were significantly higher in rural areas than in urban areas.The urban-rural differences in CHE incidence increased from 8.07% in 2012 to 8.18% in 2018, while the urban-rural differences in CHE intensity decreased from 2.15% in 2012 to 2.05% in 2018. From 2012 to 2018, the disparity explained by household income and self-assessed health status of household head increased to some extent. During the same period, the contribution of education attainment to the urban-rural differences in CHE incidence decreased, while the contribution of education attainment to the urban-rural differences in CHE intensity increased slightly.ConclusionsCompared with urban households with NCD patients, rural households with NCD patients had higher risk of incurring CHE and heavier economic burden of diseases. There was no substantial change in urban-rural inequality in the incidence and intensity of CHE in 2018 compared to 2012. Policy interventions should give priority to improving the household income, education attainment and health awareness of rural patients with NCDs.
Exploring the impact of number and type of comorbidities on the risk of severe COPD exacerbations in Korean Population: a Nationwide Cohort Study
Authors: Kim Youngmee , Kim Ye-Jee , Kang Yu Mi , Cho Won-Kyung 
Published: May 2021

Abstract
Background
It is difficult to assess the impact of multiple comorbidities on clinical outcomes in chronic obstructive pulmonary disease (COPD). In this study, we aimed to investigate exacerbation-associated comorbidities, determine whether the number of comorbidities is an independent risk factor for exacerbation, and identify other exacerbation-associated factors in a Korean COPD population using a nationwide population-based cohort. This study focused on severe exacerbations that required hospitalisation or emergency room visits.

Methods
The National Health Insurance Service-National Sample Cohort, version 2.0, data sampled between 2002 and 2015 were analysed. Data from two years after the diagnosis of COPD were analysed for each participant (N = 12,554, entire cohort). Moreover, 42% of the participants underwent additional health examinations (N = 5306, health-screening cohort). Fifteen comorbidities that were previously reported as risk factors for exacerbations were examined. A logistic regression model was used to analyse association with exacerbations.

Results
Asthma (1.57 [1.39–1.76] and 1.24 [1.06–1.44]), lung cancer (1.84 [1.30–2.59] and 2.28 [1.54–3.37]), and heart failure (1.39 [1.16–1.67] and 1.52 [1.18–1.97]) were associated with exacerbation in both cohorts (odds ratio [95% confidence interval] in the entire cohort and health-screening cohort, respectively). The number of comorbidities was an independent risk factor, and old age, male sex, low body mass index, and current smoking were also independent risk factors. High cholesterol levels and body mass index exerted protective effects against exacerbation.

Conclusions
The number of comorbidities, certain comorbidities such as asthma, lung cancer and heart failure, and low BMI were associated with an increased risk of severe exacerbation in COPD patients.
Prolonged antibiotic prophylaxis use in elective orthopaedic surgery – a cross-sectional analysis
Authors: Rohrer Felix , Maurer Anita , Noetzli Hubert , Gahl Brigitta , Limacher Andreas , Hermann Tanja , Bruegger Jan 
Published: May 2021

AbstractPurposeSurgical antibiotic prophylaxis (SAP) prevents surgical site infections (SSI). In orthopaedic surgery, the use of prolonged SAP (PSAP) has been reported in daily routine, despite guidelines advising against it. Therefore, we asked: What is the proportion of PSAP use, defined as administration of SAP ≥24 h after elective orthopaedic surgery? Are there patient- and surgery-related predictors of PSAP use?MethodsThis cross-sectional analysis investigated 1292 patients who underwent elective orthopaedic surgery including total joint arthroplasties at one Swiss centre between 2015 and 2017. Patient comorbidities, surgical characteristics and occurrence of SSI at 90 days in PSAP group were compared to the SAP group (< 24 h post-operative).ResultsPSAP use was 12% (155 of 1292). Patient-related factors associated with PSAP compared to the SAP group included older age (63 vs. 58y;p < 0.001), higher BMI (29 vs. 27 kg/m2;p < 0.001), ASA classification ≥3 (31% vs. 17%;p < 0.001) and lung disease (17% vs. 9%;p = 0.002). Surgery-related factors associated with PSAP were use of prosthetics (62% vs. 45%;p < 0.001), surgery of the knee (65% vs. 25%;p < 0.001), longer surgery duration (87 vs. 68 min;p < 0.001) and presence of drains (90% vs. 65%;p < 0.001). All four SSI occurred in the SAP group (0 vs. 4;p = 1.0). Surgeons administered PSAP with varying frequencies; proportions ranged from 0 to 33%.ConclusionPSAP use and SSI proportions were lower than reported in the literature. Several patient- and surgery-related factors associated with PSAP use were identified and some were potentially modifiable. Also, experienced surgeons seemed to implement differing approaches regarding the duration of SAP administration.
The evolution of medical students’ preparedness for clinical practice during the transition of graduation: a longitudinal study from the undergraduate to postgraduate periods
Authors: Chaou Chung-Hsien , Yu Shiuan-Ruey , Chang Yu-Che , Ma Shou-De , Tseng Hsu-Min , Hsieh Ming-Ju , Fang Ji-Tseng 
Published: May 2021

Abstract
Background
Graduating from medical school and beginning independent practice appears to be a major transition for medical students across the world. It is often reported that medical graduates are underprepared for independent practice. Most previous studies on undergraduates’ preparedness are cross-sectional. This study aimed to characterize the development and trend of medical students’ preparedness and its association with other objective and subjective indicators from the undergraduate to postgraduate periods.

Methods
This was a prospective cohort study. The participants were recruited and followed from two years before graduation to the postgraduate period. The preparedness for independent practice, professional identity, and teamwork experience were biannually measured using previously validated questionnaires. The participants’ basic demographic information, clinical learning marks from the last two years, and national board exam scores were also collected.

Results
A total of 85 participants completed 403 measurements in the 5 sequential surveys. The mean age at recruitment was 23.6, and 58 % of participants were male. The overall total preparedness score gradually increased from 157.3 (SD=21.2) at the first measurement to 175.5 (SD=25.6) at the fifth measurement. The serial individual preparedness scores revealed both temporal differences within the same learner and individual differences across learners. Despite the variations, a clear, steady increase in the overall average score was observed. Participants were least prepared in the domain of patient management at first, but the score increased in the subsequent measurements. The participants with better final preparedness had better professional identity (p<0.01), better teamwork experience (p < 0.01), and higher average clinical rotation marks (p<0.05).

Conclusions
The preparedness for practice of medical students from the undergraduate to postgraduate periods is associated with their professional identity, teamwork experience, and objective clinical rotation endpoint. Although preparedness generally increases over time, educators must understand that there are temporal fluctuations and individual differences in learners’ preparedness.
Early procedural training increases anesthesiology residents’ clinical production: a comparative pre-post study of the payoff in clinical training
Authors: Bisgaard Claus Hedebo , Rodt Svein Aage , Musaeus Peter , Petersen Jens Aage Kølsen , Rubak Sune Leisgaard Mørck 
Published: May 2021

AbstractBackgroundCompetency-based education has been shown to enhance clinical skills, improve patient care, and reduce number of complications resulting in a better return on investments. Residents constitute an important workforce at many hospitals. Yet, the effect of training on residents’ contribution to production in patient care is scarcely studied. This study evaluated the effects of early competency-based procedural training on residents’ contribution to patient care in central venous catheterization and spinal and epidural anesthesia.MethodsThe design was a non-randomized cohort study of first-year anesthesiology residents. The intervention group received additional early focused skills training while three control groups received traditional competency-based education. The residents’ contributions to patient care were compared between the intervention group (n = 20), a historical control group (n = 19), and between a contemporary control group (n = 7) and a historical control group (n = 7) from different departments. The residents’ vs specialists’ procedural production share was compared between years within each study group. We calculated specialist time saved compared to the time spent providing additional skills training in the intervention group.ResultsWe found statistically significant increases in residents’ vs specialists’ share of total production after the intervention for epidural anesthesia: 2015: 0.51 (0.23, 0.70) to 2017: 0.94 (0.78, 1.05),p = 0.011 and central venous catheterization: 2015: 0.30 (0.23, 0.36) to 2016: 0.46 (0.35, 0.55),p = .008; and to 2017: 0.64 (0.50, 0.79),p = 0.008.Comparison between residents and specialists on production of the three procedures before and after the intervention showed a surplus of 21 h of freed specialist time per year.ConclusionsEarly procedural training results in more productive residents and freed specialist time for additional supervision, other clinical tasks or research. This provides empirical support for a positive correlation between early focused training and increased independent production among residents.
Sales and pricing decisions for HIV self-test kits among local drug shops in Tanzania: a prospective cohort study
Authors: Chiu Calvin , Hunter Lauren A. , McCoy Sandra I. , Mfaume Rashid , Njau Prosper , Liu Jenny X. 
Published: May 2021

Abstract
Background
Public health initiatives must look for ways to cost-effectively scale critical interventions to achieve high coverage. Private sector distribution channels, can potentially distribute preventive healthcare products to hard-to-reach populations, decongest public healthcare systems, and increase the sustainability of programs by getting customers to share costs. However, little is known about how sellers set prices for new products. By introducing a new product, HIV self-test kits, to local drug shops, we observed whether shops experimented with pricing, charged different buyers different prices, and whether prices converged within the local market over our study period.

Methods
From August to December 2019, we provided free HIV self-test kits, a new product, to 26 drug shops in Shinyanga, Tanzania to sell to the local community. We measured sales volume, price, customer age and sex using shop records. Using a multiple linear regression model, we conducted F-tests to determine whether shop, age, sex, and time (week) respectively were associated with price. We measured willingness-to-pay to restock test kits at the end of the study.

Results
514 test kits were sold over 18 weeks; 69% of buyers were male, 40% were aged 25–34 and 32% aged 35–44. Purchase prices ranged from 1000 to 6000 Tsh (median 3000 Tsh; ~$1.30 USD). Within shops, prices were 11.3% higher for 25–34 and 12.7% higher for 45+ year olds relative to 15–19-year olds (p = 0.029) and 13.5% lower for men (p = 0.023) on average. Although prices varied between shops, prices varied little within shops over time, and did not converge over the study period or cluster geospatially. Mean maximum willingness-to-pay to restock was 2000 Tsh per kit.

Conclusions
Shopkeepers charged buyers different prices depending on buyers’ age and sex. There was limited variation in prices within shops over time and low demand among shopkeepers to restock at the end of the study. Given the subsidized global wholesale price ($2 USD or ~ 4600 Tsh), further demand creation and/or cost-reduction is required before HIV self-test kits can become commercially viable in drug shops in this setting. Careful consideration is needed to align the motivations of retailers with public health priorities while meeting their private for-profit needs.
The importance of transdiagnostic symptom level assessment to understanding prognosis for depressed adults: analysis of data from six randomised control trials
Authors: O’Driscoll C. , Buckman J. E. J. , Fried E. I. , Saunders R. , Cohen Z. D. , Ambler G. , DeRubeis R. J. , Gilbody S. , Hollon S. D. , Kendrick T. , Kessler D. , Lewis G. , Watkins E. , Wiles N. , Pilling S. 
Published: May 2021

AbstractBackgroundDepression is commonly perceived as a single underlying disease with a number of potential treatment options. However, patients with major depression differ dramatically in their symptom presentation and comorbidities, e.g. with anxiety disorders. There are also large variations in treatment outcomes and associations of some anxiety comorbidities with poorer prognoses, but limited understanding as to why, and little information to inform the clinical management of depression. There is a need to improve our understanding of depression, incorporating anxiety comorbidity, and consider the association of a wide range of symptoms with treatment outcomes.MethodIndividual patient data from six RCTs of depressed patients (totaln = 2858) were used to estimate the differential impact symptoms have on outcomes at three post intervention time points using individual items and sum scores. Symptom networks (graphical Gaussian model) were estimated to explore the functional relations among symptoms of depression and anxiety and compare networks for treatment remitters and those with persistent symptoms to identify potential prognostic indicators.ResultsItem-level prediction performed similarly to sum scores when predicting outcomes at 3 to 4 months and 6 to 8 months, but outperformed sum scores for 9 to 12 months. Pessimism emerged as the most important predictive symptom (relative to all other symptoms), across these time points. In the network structure at study entry, symptoms clustered into physical symptoms, cognitive symptoms, and anxiety symptoms. Sadness, pessimism, and indecision acted as bridges between communities, with sadness and failure/worthlessness being the most central (i.e. interconnected) symptoms. Connectivity of networks at study entry did not differ for future remitters vs. those with persistent symptoms.ConclusionThe relative importance of specific symptoms in association with outcomes and the interactions within the network highlight the value of transdiagnostic assessment and formulation of symptoms to both treatment and prognosis. We discuss the potential for complementary statistical approaches to improve our understanding of psychopathology.
circ_NRIP1 is oncogenic in malignant development of esophageal squamous cell carcinoma (ESCC) via miR-595/SEMA4D axis and PI3K/AKT pathway
Authors: Zhou Shifan , Guo Zhizhong , Zhou Chaofeng , Zhang Yu , Wang Sai 
Published: May 2021

AbstractBackgroundThe hsa_circ_0004771 derived from NRIP1 (called circ_NRIP1) is a recently identified oncogenic circRNA. Here, we intended to investigate the role and mechanism of circ_NRIP1 in esophageal squamous cell carcinoma (ESCC), a prevalent and aggressive type of esophageal cancer.MethodsExpression of circ_NRIP1, miRNA-595-5p (miR-595) and semaphorin 4D (SEMA4D) was detected by RT-qPCR and western blotting. Cell growth was assessed by colony formation assay, MTS assay, flow cytometry, and xenograft experiment; migration and invasion were evaluated by transwell assay and western blotting. Dual-luciferase reporter assay identified the relationship among circ_NRIP1, miR-595 and SEMA4D. Western blotting measured phosphatidylinositol-3-hydroxykinase (PI3K)/AKT pathway-related proteins.ResultsExpression of circ_NRIP1 was upregulated in ESCC tissues and cells. Knockdown of circ_NRIP1 could enhance apoptosis rate and E-cadherin expression, but suppress colony formation, cell viability, migration, invasion, and snail expression in KYSE30 and KYSE450 cells, as well as retarded tumor growth in mice. The suppressive role of circ_NRIP1 knockdown in cell growth, migration and invasion in vitro was abated by blocking miR-595; meanwhile, miR-595 overexpression elicited similar anti-tumor role in KYSE30 and KYSE450 cells, which was abrogated by restoring SEMA4D. Notably, circ_NRIP1 was a sponge for miR-595, and SEMA4D was a target of miR-595. Besides, PI3K/AKT signal was inhibited by circ_NRIP1 knockdown and/or miR-595 overexpression via indirectly or directly regulating SEMA4D.Conclusioncirc_NRIP1 functioned as an oncogene in ESCC, and modulated ESCC cell growth, migration and invasion both in vitro and in vivo via targeting miR-595/SEMA4D axis and inhibiting PI3K/AKT signaling pathway.
Emulating causal dose-response relations between air pollutants and mortality in the Medicare population
Authors: Wei Yaguang , Yazdi Mahdieh Danesh , Di Qian , Requia Weeberb J. , Dominici Francesca , Zanobetti Antonella , Schwartz Joel 
Published: May 2021

Abstract
Background
Fine particulate matter (PM2.5), ozone (O3), and nitrogen dioxide (NO2) are major air pollutants that pose considerable threats to human health. However, what has been mostly missing in air pollution epidemiology is causal dose-response (D-R) relations between those exposures and mortality. Such causal D-R relations can provide profound implications in predicting health impact at a target level of air pollution concentration.

Methods
Using national Medicare cohort during 2000–2016, we simultaneously emulated causal D-R relations between chronic exposures to fine particulate matter (PM2.5), ozone (O3), and nitrogen dioxide (NO2) and all-cause mortality. To relax the contentious assumptions of inverse probability weighting for continuous exposures, including distributional form of the exposure and heteroscedasticity, we proposed a decile binning approach which divided each exposure into ten equal-sized groups by deciles, treated the lowest decile group as reference, and estimated the effects for the other groups. Binning continuous exposures also makes the inverse probability weights robust against outliers.

Results
Assuming the causal framework was valid, we found that higher levels of PM2.5, O3, and NO2 were causally associated with greater risk of mortality and that PM2.5 posed the greatest risk. For PM2.5, the relative risk (RR) of mortality monotonically increased from the 2nd (RR, 1.022; 95% confidence interval [CI], 1.018–1.025) to the 10th decile group (RR, 1.207; 95% CI, 1.203–1.210); for O3, the RR increased from the 2nd (RR, 1.050; 95% CI, 1.047–1.053) to the 9th decile group (RR, 1.107; 95% CI, 1.104–1.110); for NO2, the DR curve wiggled at low levels and started rising from the 6th (RR, 1.005; 95% CI, 1.002–1.018) till the highest decile group (RR, 1.024; 95% CI, 1.021–1.027).

Conclusions
This study provided more robust evidence of the causal relations between air pollution exposures and mortality. The emulated causal D-R relations provided significant implications for reviewing the national air quality standards, as they inferred the number of potential early deaths prevented if air pollutants were reduced to specific levels; for example, lowering each air pollutant concentration from the 70th to 60th percentiles would prevent 65,935 early deaths per year.
Risk stratification of ST-segment elevation myocardial infarction (STEMI) patients using machine learning based on lipid profiles
Authors: Xue Yuzhou , Shen Jian , Hong Weifeng , Zhou Wei , Xiang Zhenxian , Zhu Yuansong , Huang Chuiguo , Luo Suxin 
Published: May 2021

Abstract
Background
Numerous studies have revealed the relationship between lipid expression and increased cardiovascular risk in ST-segment elevation myocardial infarction (STEMI) patients. Nevertheless, few investigations have focused on the risk stratification of STEMI patients using machine learning algorithms.

Methods
A total of 1355 STEMI patients who underwent percutaneous coronary intervention were enrolled in this study during 2015–2018. Unsupervised machine learning (consensus clustering) was applied to the present cohort to classify patients into different lipid expression phenogroups, without the guidance of clinical outcomes. Kaplan-Meier curves were implemented to show prognosis during a 904-day median follow-up (interquartile range: 587–1316). In the adjusted Cox model, the association of cluster membership with all adverse events including all-cause mortality, all-cause rehospitalization, and cardiac rehospitalization was evaluated.

Results
All patients were classified into three phenogroups, 1, 2, and 3. Patients in phenogroup 1 with the highest Lp(a) and the lowest HDL-C and apoA1 were recognized as the statin-modified cardiovascular risk group. Patients in phenogroup 2 had the highest HDL-C and apoA1 and the lowest TG, TC, LDL-C and apoB. Conversely, patients in phenogroup 3 had the highest TG, TC, LDL-C and apoB and the lowest Lp(a). Additionally, phenogroup 1 had the worst prognosis. Furthermore, a multivariate Cox analysis revealed that patients in phenogroup 1 were at significantly higher risk for all adverse outcomes.

Conclusion
Machine learning-based cluster analysis indicated that STEMI patients with increased concentrations of Lp(a) and decreased concentrations of HDL-C and apoA1 are likely to have adverse clinical outcomes due to statin-modified cardiovascular risks.

Trial registration
ChiCTR1900028516 (http://www.chictr.org.cn/index.aspx).