bluuebunny/crossref_metadata_2025_split huggingface dataset:
Higher serum albumin-corrected calcium levels are associated with revascularization and poor outcome after mechanical thrombectomy
Authors: He Xinwei , Lin Baomei , Tao Taotao , Chen Qiuyue , Wang Jinhua , Jin Jiaolei 
Published: September 2022

Abstract
Background
Serum calcium abnormalities have been determined to be associated with the risk and outcome of stroke. The aim of the present study was to examine the associations of serum calcium with vascular recanalization, symptomatic intracranial haemorrhage and functional outcome in stroke patients after mechanical thrombectomy.

Methods
A total of 192 patients treated with mechanical thrombectomy for anterior circulation large vessel occlusion were consecutively included from August 2017 to June 2021. Serum calcium levels were measured on admission, and albumin-corrected calcium levels were calculated for subsequent analysis. Successful arterial revascularization was defined as a modified Thrombolysis in Cerebral Infarction scale score ≥ 2b. Symptomatic intracranial haemorrhage was assessed according to the European Cooperative Acute Stroke Study (ECASS) III criteria. Poor functional outcome was defined as a modified Rankin Scale score > 2 at 3 months.

Results
Patients with poor outcomes had higher albumin-corrected calcium levels than patients with good outcomes before (2.20 (2.10, 2.30) mmol/L vs. 2.13 (2.04, 2.24) mmol/L, P = 0.002), and after adjusting for other factors (AOR 95% CI, 1.812 (1.253, 2.621), P = 0.002). Patients with unsuccessful recanalization had higher albumin-corrected calcium levels than those with recanalization (2.26 (2.09, 2.46) mmol/L vs. 2.17 (2.07, 2.27) mmol/L, P = 0.029), and after adjusting for other factors (AOR 95% CI, 2.068 (1.214, 3.524)), P = 0.008). No association was found between albumin-corrected calcium and symptomatic intracranial haemorrhage.

Conclusions
Higher serum albumin-corrected calcium levels are independently associated with revascularization and poor outcome in stroke patients after mechanical thrombectomy.
Benefits, barriers and enablers of maternity waiting homes utilization in Ethiopia: an integrative review of national implementation experience to date
Authors: Gurara Mekdes Kondale , Jacquemyn Yves , Ukke Gebresilasea Gendisha , Van Geertruyden Jean-Pierre , Draulans Veerle 
Published: September 2022

Abstract
Background
Though Ethiopia has expanded Maternity Waiting Homes (MWHs) to reduce maternal and perinatal mortality, the utilization rate is low. To maximize the use of MWH, policymakers must be aware of the barriers and benefits of using MWH. This review aimed to describe the evidence on the barriers and benefits to access and use of MWHs in Ethiopia.

Methods
Data were sourced from PubMed, Google Scholars and Dimensions. Thirty-one studies were identified as the best evidence for inclusion in this review. We adopted an integrative review process based on the five-stage process proposed by Whittemore and Knafl.

Results
The key themes identified were the benefits, barriers and enablers of MWH utilization with 10 sub-themes. The themes about benefits of MWHs were lower incidence rate of perinatal death and complications, the low incidence rate of maternal complications and death, and good access to maternal health care. The themes associated with barriers to staying at MWH were distance, transportation, financial costs (higher out-of-pocket payments), the physical aspects of MWHs, cultural constraints and lack of awareness regarding MWHs, women’s perceptions of the quality of care at MWHs, and poor provider interaction to women staying at MWH. Enablers to pregnant women to stay at MWHs were availability of MWHs which are attached with obstetric services with quality and compassionate care.

Conclusion
This study synthesized research evidence on MWH implementation, aiming to identify benefits, barriers, and enablers for MWH implementation in Ethiopia. Despite the limited and variable evidence, the implementation of the MWH strategy is an appropriate strategy to improve access to skilled birth attendance in rural Ethiopia.
Future trends of life expectancy by education in the Netherlands
Authors: Nusselder Wilma J. , De Waegenaere Anja M. B. , Melenberg Bertrand , Lyu Pintao , Rubio Valverde Jose R. 
Published: September 2022

Abstract
Background
National projections of life expectancy are made periodically by statistical offices or actuarial societies in Europe and are widely used, amongst others for reforms of pension systems. However, these projections may not provide a good estimate of the future trends in life expectancy of different social-economic groups. The objective of this study is to provide insight in future trends in life expectancies for low, mid and high educated men and women living in the Netherlands.

Methods
We used a three-layer Li and Lee model with data from neighboring countries to complement Dutch time series.

Results
Our results point at further increases of life expectancy between age 35 and 85 and of remaining life expectancy at age 35 and age 65, for all education groups in the Netherlands. The projected increase in life expectancy is slightly larger among the high educated than among the low educated. Life expectancy of low educated women, particularly between age 35 and 85, shows the smallest projected increase. Our results also suggest that inequalities in life expectancies between high and low educated will be similar or slightly increasing between 2018 and 2048. We see no indication of a decline in inequality between the life expectancy of the low and high educated.

Conclusions
The educational inequalities in life expectancy are expected to persist or slightly increase for both men and women. The persistence and possible increase of inequalities in life expectancy between the educational groups may cause equity concerns of increases in pension age that are equal among all socio-economic groups.
Experiences of infertile women pursuing treatment in Kenya: a qualitative study
Authors: Njogu Anne , Njogu Julius , Mutisya Albanus , Luo Yang 
Published: September 2022

Abstract
Background
The infertility treatment process is associated with various psychological, physical, social, moral, and financial challenges, especially for women. The women are likely to report low marital satisfaction and emotional distress due to fertility treatment demands. This study explored how infertile women described their treatment experience and how they coped with treatment demands as they underwent treatment at three gynecology outpatient clinics in Kenya.

Methods
A qualitative phenomenological research design was used to analyze and describe women’s fertility treatment experiences. The data were collected through semi-structured in-depth interviews with 33 infertile women selected purposively. Trustworthiness of the findings was ensured using Guba and Lincoln’s criteria. The recorded interviews were transcribed verbatim and then analyzed using reflective thematic analysis, developed by Braun and Clarkes.

Results
Three themes and 13 sub-themes related to women’s fertility treatment experiences and coping strategies were identified. The theme challenges encountered during fertility treatment have three sub-themes: emotional distressing, physical pain, and financial constraining. Theme impacts of fertility treatment on relationships have three sub-themes: relationship with their husband, relationship with their family, and relationship with their friends. Finally, coping with fertility treatment has six sub-themes: religious practices and personal faith, giving in to feelings, shifting focus, taking a break, staying with their relative’s children, and receiving support from others.

Conclusion
The experiences of women undergoing treatment are multi-dimensional. Therefore, incorporating psychosocial interventions or counseling into the fertility treatment routine with National Health Insurance Fund cards may reduce the treatment burden, improving women’s psychological well-being and relationships with their husbands, family, and friends.
Assessment of changes in gaze patterns during training in point-of-care ultrasound
Authors: Chan Alice H. Y. , Lee Wei Feng , Van Gerven Pascal W. M. , Chenkin Jordan 
Published: September 2022

Abstract
Background
Point-of-care ultrasound (POCUS) is a core skill in emergency medicine (EM), however, there is a lack of objective competency measures. Eye-tracking technology is a potentially useful assessment tool, as gaze patterns can reliably discriminate between experts and novices across medical specialties. We aim to determine if gaze metrics change in an independent and predictable manner during ultrasound training.

Methods
A convenience sample of first-year residents from a single academic emergency department was recruited. Participants interpreted 16 ultrasound videos of the focused assessment with sonography for trauma (FAST) scan while their gaze patterns were recorded using a commercially available eye-tracking device. The intervention group then completed an introductory ultrasound course whereas the control group received no additional education. The gaze assessment was subsequently repeated. The primary outcome was total gaze duration on the area of interest (AOI). Secondary outcomes included time to fixation, mean duration of first fixation and mean number of fixations on the AOI.

Results
10 EM residents in the intervention group and 10 non-EM residents in the control group completed the study. After training, there was an 8.8 s increase in the total gaze time on the AOI in the intervention group compared to a 4.0 s decrease in the control group (p = .03). EM residents were also 3.8 s quicker to fixate on the AOI whereas the control group became 2.5 s slower (p = .04). There were no significant interactions on the number of fixations (0.43 vs. 0.18, p = .65) or duration of first fixation on the AOI (0.02 s vs. 0.06 s, p = .63).

Conclusions
There are significant and quantifiable changes in gaze metrics, which occur with incremental learning after an ultrasound course. Further research is needed to validate the serial use of eye-tracking technology in following a learner’s progress toward competency in point-of-care ultrasound image interpretation.
Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method
Authors: Yang Wanrong , Xu Jiajie , Xiang Junhong , Yan Zhonghong , Zhou Hengyu , Wen Binbin , Kong Hai , Zhu Rui , Li Wang 
Published: September 2022

Abstract
Background
The diagnosis of cardiac abnormalities based on heart sound signal is a research hotspot in recent years. The early diagnosis of cardiac abnormalities has a crucial significance for the treatment of heart diseases.

Methods
For the sake of achieving more practical clinical applications of automatic recognition of cardiac abnormalities, here we proposed a novel fuzzy matching feature extraction method. First of all, a group of Gaussian wavelets are selected and then optimized based on a template signal. Convolutional features of test signal and the template signal are then computed. Matching degree and matching energy features between template signal and test signal in time domain and frequency domain are then extracted. To test performance of proposed feature extraction method, machine learning algorithms such as K-nearest neighbor, support vector machine, random forest and multilayer perceptron with grid search parameter optimization are constructed to recognize heart disease using the extracted features based on phonocardiogram signals.

Results
As a result, we found that the best classification accuracy of random forest reaches 96.5% under tenfold cross validation using the features extracted by the proposed method. Further, Mel-Frequency Cepstral Coefficients of phonocardiogram signals combing with features extracted by our algorithm are evaluated. Accuracy, sensitivity and specificity of integrated features reaches 99.0%, 99.4% and 99.7% respectively when using support vector machine, which achieves the best performance among all reported algorithms based on the same dataset. On several common features, we used independent sample t-tests. The results revealed that there are significant differences (p < 0.05) between 5 categories.

Conclusion
It can be concluded that our proposed fuzzy matching feature extraction method is a practical approach to extract powerful and interpretable features from one-dimensional signals for heart sound diagnostics and other pattern recognition task.
Burnout, stress and resilience of an Australian regional hospital during COVID-19: a longitudinal study
Authors: Armstrong Samantha J. , Porter Joanne E. , Larkins Jo-Ann , Mesagno Christopher 
Published: September 2022

AbstractCoronavirus disease 2019 (COVID-19) has placed huge strain on hospital staff around the world. The aim of the current longitudinal study was to investigate the resilience, stress and burnout of hospital staff located at a large, regional hospital in Victoria, Australia during the COVID-19 pandemic over time via cross-sectional surveys. The surveys were disseminated six times from August 2020 to March 2021, with the first three data collection points distributed during a state-wide lockdown. A total of 558 responses from various professional roles within the hospital over the survey period were included in the sample. Analysis of variance indicated significant main effects for the psychological variables across time, age, and workload. Hospital staff reported an increase in burnout levels throughout the eight-months. Significant negative relationships were observed between resilience and burnout, and between resilience and stress. A backward regression highlighted the contribution of resilience, stress, age, and nursing roles on burnout. Hierarchical regression analysis indicated that resilience contributed to the stress-burnout relationship. This study strengthens the evidence between resilience and burnout among healthcare workers and hospital staff and highlights the need for psychological wellbeing programs to be implemented for hospital staff impacted by a prolonged worldwide pandemic.
Face-to-face physical activity incorporated into dietary intervention for overweight/obesity in children and adolescents: a Bayesian network meta-analysis
Authors: Liang Jing Hong , Zhao Yu , Chen Yi Can , Jiang Nan , Zhang Shu Xin , Huang Shan , Kakaer Aerziguli , Chen Ya Jun 
Published: September 2022

AbstractBackgroundAdolescent obesity has been reported to have deleterious consequences but is considered a promising modifiable risk factor. We aimed to investigate the optimal intervention for obese and overweight children and adolescents.MethodsWe searched the Medline (PubMed, 1946–December 2020), PsycINFO (Ovid, 1927–December 2020), Cochrane library (1966–December 2020), Web of Science (1900–December 2020), Embase (1974–December 2020), CINAHL (1937–December 2020), Chinese Biomedical Literature (1978–December 2020), andClinicalTrials.gov(December 2020) databases. We included randomized controlled trials (RCTs) reporting the association between various interventions and obese/overweight children and adolescents. The quality of the included studies was judged by two independent reviewers using the Cochrane Collaboration Risk of Bias Tool. A Bayesian network meta-analysis was conducted to summarize the comparative effectiveness of interventions based on several outcomes.ResultsWe included 118 RCTs comprising 71,064 participants in our analyses. Based on the outcome of the body mass index (BMI), face-to-face physical activity (FTF PA) combined with dietary intervention (DI) (mean difference [MD] = − 0.98; 95% credible interval [CrI] − 1.19, − 0.77), FTF multi-lifestyle intervention (MLI) (MD = − 0.95; 95% CrI − 1.14, − 0.75), and mobile health (MH)-delivered MLI (MD = − 0.87; 95% CrI − 1.63, − 0.09) showed significant benefits over the named control group (NCG). For the outcome of BMI z-score, FTF PA+DI (MD = − 0.10; 95% CrI − 0.15, − 0.04) and MH-delivered PA+DI (MD = − 0.09; 95% CrI − 0.14, − 0.04) were more effective than the NCG. Sensitivity analyses revealed similar findings after exclusion of studies with < 12-month and 24-month outcome assessments for the intervention, which indicated the results were stable.ConclusionsBased on limited quality evidence and limited direct evidence, our preliminary findings showed that FTF-PA+DI, FTF-MLI, and MH-delivered MLI improved the health-related parameters in obese adolescents, in comparison with NCG. Owing to the absence of strong, direct evidence of a significant difference between the various interventions for the four outcomes, we can only cautiously suggest that FTF-PA+DI is likely the most effective intervention.
Age and product dependent vaccine effectiveness against SARS-CoV-2 infection and hospitalisation among adults in Norway: a national cohort study, July–November 2021
Authors: Starrfelt Jostein , Danielsen Anders Skyrud , Buanes Eirik Alnes , Juvet Lene Kristine , Lyngstad Trude Marie , Rø Gunnar Øyvind Isaksson , Veneti Lamprini , Watle Sara Viksmoen , Meijerink Hinta 
Published: September 2022

Abstract
Background
COVID-19 vaccines have been crucial in the pandemic response and understanding changes in vaccines effectiveness is essential to guide vaccine policies. Although the Delta variant is no longer dominant, understanding vaccine effectiveness properties will provide essential knowledge to comprehend the development of the pandemic and estimate potential changes over time.

Methods
In this population-based cohort study, we estimated the vaccine effectiveness of Comirnaty (Pfizer/BioNTech; BNT162b2), Spikevax (Moderna; mRNA-1273), Vaxzevria (AstraZeneca; ChAdOx nCoV-19; AZD1222), or a combination against SARS-CoV-2 infections, hospitalisations, intensive care admissions, and death using Cox proportional hazard models, across different vaccine product regimens and age groups, between 15 July and 31 November 2021 (Delta variant period). Vaccine status is included as a time-varying covariate and all models were adjusted for age, sex, comorbidities, county of residence, country of birth, and living conditions. Data from the entire adult Norwegian population were collated from the National Preparedness Register for COVID-19 (Beredt C19).

Results
The overall adjusted vaccine effectiveness against infection decreased from 81.3% (confidence interval (CI): 80.7 to 81.9) in the first 2 to 9 weeks after receiving a second dose to 8.6% (CI: 4.0 to 13.1) after more than 33 weeks, compared to 98.6% (CI: 97.5 to 99.2) and 66.6% (CI: 57.9 to 73.6) against hospitalisation respectively. After the third dose (booster), the effectiveness was 75.9% (CI: 73.4 to 78.1) against infection and 95.0% (CI: 92.6 to 96.6) against hospitalisation. Spikevax or a combination of mRNA products provided the highest protection, but the vaccine effectiveness decreased with time since vaccination for all vaccine regimens.

Conclusions
Even though the vaccine effectiveness against infection waned over time, all vaccine regimens remained effective against hospitalisation after the second vaccine dose. For all vaccine regimens, a booster facilitated recovery of effectiveness. The results from this support the use of heterologous schedules, increasing flexibility in vaccination policy.
Construction and evaluation of a prognostic risk model of tumor metastasis-related genes in patients with non-small cell lung cancer
Authors: Ding Huan , Shi Li , Chen Zhuo , Lu Yi , Tian Zhiyu , Xiao Hongyu , Deng Xiaojing , Chen Peiyi , Zhang Yue 
Published: September 2022

Abstract
Background
Lung cancer is a high-incidence cancer, and it is also the most common cause of cancer death worldwide. 80–85% of lung cancer cases can be classified as non-small cell lung cancer (NSCLC).

Methods
NSCLC transcriptome data and clinical information were downloaded from the TCGA database and GEO database. Firstly, we analyzed and identified the differentially expressed genes (DEGs) between non-metastasis group and metastasis group of NSCLC in the TCGA database, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) were consulted to explore the functions of the DEGs. Thereafter, univariate Cox regression and LASSO Cox regression algorithms were applied to identify prognostic metastasis-related signature, followed by the construction of the risk score model and nomogram for predicting the survival of NSCLC patients. GSEA analyzed that differentially expressed gene-related signaling pathways in the high-risk group and the low-risk group. The survival of NSCLC patients was analyzed by the Kaplan–Meier method. ROC curve was plotted to evaluate the accuracy of the model. Finally, the GEO database was further applied to verify the metastasis‑related prognostic signature.

Results
In total, 2058 DEGs were identified. GO functions and KEGG pathways analysis results showed that the DEGs mainly concentrated in epidermis development, skin development, and the pathway of Neuro active ligand -receptor interaction in cancer. A six-gene metastasis-related risk signature including C1QL2, FLNC, LUZP2, PRSS3, SPIC, and GRAMD1B was constructed to predict the overall survival of NSCLC patients. The reliability of the gene signature was verified in GSE13213. The NSCLC patients were grouped into low-risk and high-risk groups based on the median value of risk scores. And low-risk patients had lower risk scores and longer survival time. Univariate and multivariate Cox regression verified that this signature was an independent risk factor for NSCLC.

Conclusion
Our study identified 6 metastasis biomarkers in the NSCLC. The biomarkers may contribute to individual risk estimation, survival prognosis.