bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performances of clinical characteristics and radiological findings in identifying COVID-19 from suspected cases
Authors: Li Xuanxuan , Zhao Yajing , Lu Yiping , Zheng Yingyan , Mei Nan , Han Qiuyue , Ruan Zhuoying , Xiao Anling , Qiu Xiaohui , Wang Dongdong , Yin Bo 
Published: March 2022

AbstractBackgroundTo identify effective factors and establish a model to distinguish COVID-19 patients from suspected cases.MethodsThe clinical characteristics, laboratory results and initial chest CT findings of suspected COVID-19 patients in 3 institutions were retrospectively reviewed. Univariate and multivariate logistic regression were performed to identify significant features. A nomogram was constructed, with calibration validated internally and externally.Results239 patients from 2 institutions were enrolled in the primary cohort including 157 COVID-19 and 82 non-COVID-19 patients. 11 features were selected by LASSO selection, and 8 features were found significant using multivariate logistic regression analysis. We found that the COVID-19 group are more likely to have fever (OR 4.22), contact history (OR 284.73), lower WBC count (OR 0.63), left lower lobe involvement (OR 9.42), multifocal lesions (OR 8.98), pleural thickening (OR 5.59), peripheral distribution (OR 0.09), and less mediastinal lymphadenopathy (OR 0.037). The nomogram developed accordingly for clinical practice showed satisfactory internal and external validation.ConclusionsIn conclusion, fever, contact history, decreased WBC count, left lower lobe involvement, pleural thickening, multifocal lesions, peripheral distribution, and absence of mediastinal lymphadenopathy are able to distinguish COVID-19 patients from other suspected patients. The corresponding nomogram is a useful tool in clinical practice.
The relationship between serum oestrogen levels and clinical outcomes of hormone replacement therapy-frozen embryo transfer: a retrospective clinical study
Authors: Kong Na , Liu Jingyu , Zhang Chunxue , Jiang Yue , Zhu Yingchun , Yan Guijun , Sun Haixiang , Huang Chenyang 
Published: March 2022

Abstract
Background
This study aimed to explore the relationship between serum oestrogen (E2) levels before endometrial transformation and pregnancy outcomes of hormone replacement therapy-frozen embryo transfer (HRT-FET) cycles, which has been investigated for years without any consensus.

Methods
A retrospective cohort study of 10,209 cycles HRT-FET cycles was conducted at the Reproductive Medicine Center of Nanjing Drum Tower Hospital from March 2017 to December 2020. A smooth fitting curve was constructed to identify the relationship between serum E2 levels before endometrial transformation and the clinical pregnancy rate. Then, threshold and saturation effect analysis was employed to explore the cut-off value of serum E2 levels. In addition, patients were divided into 2 groups based on their levels of serum E2 measured before progesterone-induced endometrial transformation: Group 1, < 300 pg/mL (n = 6251) and Group 2, ≥ 300 pg/mL (n = 3958). The clinical pregnancy and miscarriage rates of all groups were compared. Further smooth fitting curve analysis was employed by different subgroups segmented according to different endometrial thicknesses.

Results
When the serum E2 level was greater than 300 pg/mL, the clinical pregnancy rate decreased significantly (62.9% vs. 59.8%, p < 0.01), but the miscarriage rates were similar (13.5% vs. 15.6%, p = 0.14). While serum E2 level reached or exceeded 1400 pg/mL, there was no significant correlation between the clinical pregnancy rate and E2 level. The clinical pregnancy rate reached its higher level at lower E2 levels, regardless of the different endometrail thicknesses.

Conclusions
Patients with a lower pretransformation serum E2 level (less than 300 pg/mL) have a higher clinical pregnancy rate and there was no correlation between the clinical pregnancy rate and a higher serum E2 level (greater than 1400 pg/mL) in HRT-FET cycles.
Family matters in Canada: understanding and addressing family homelessness in Ontario
Authors: Forchuk Cheryl , Russell Gordon , Richardson Jan , Perreault Chantele , Hassan Heba , Lucyk Bryanna , Gyamfi Sebastian 
Published: March 2022

Abstract
Background
Homelessness is becoming an international public health issue in most developed countries, including Canada. Homelessness is regarded as both political and socioeconomic problems warranting broad and consistent result-oriented approaches.

Methods
This paper represents the qualitative findings of a project that explored risk factors associated with family homelessness and strategies that could mitigate and prevent homelessness among families using a focused ethnographic study guided by the principles of participatory action research (PAR). The sample includes 36 family members residing at a family shelter who participated in focus groups over two years (between April 2016 and December 2017). Most of the participants were single-parent women.

Results
The analysis yielded five major themes including, life challenges, lack of understanding of the system, existing power differentials, escaping from hardship, and a theme of proposed solutions for reducing family homelessness in the community.

Conclusion
The findings illustrated the complex nature of family homelessness in Ontario; that the interaction of multiple systems can put families at risk of homelessness. Findings from this study underscore the need for urgent housing protocols aimed at educating homeless families on how to navigate and understand the system, enhance their conflict resolution skills, and develop strategies beyond relocation to help them to cope with difficulties with housing.
The economic burden of pulmonary arterial hypertension in Spain
Authors: Zozaya Néboa , Abdalla Fernando , Casado Moreno Ignacio , Crespo-Diz Carlos , Ramírez Gallardo Ana M. , Rueda Soriano Joaquín , Alcalá Galán Macarena , Hidalgo-Vega Álvaro 
Published: March 2022

Abstract
Background
Pulmonary Arterial Hypertension (PAH) is a rare, debilitating, and potentially fatal disease. This study aims to quantify the economic burden of PAH in Spain.

Methods
The study was conducted from a societal perspective, including direct and indirect costs associated with incident and prevalent patients. Average annual costs per patient were estimated by multiplying the number of resources consumed by their unit cost, differentiating the functional class (FC) of the patient. Total annual costs per FC were also calculated, taking the 2020 prevalence and incidence ranges into account. An expert committee validated the information on resource consumption and provided primary information on pharmacological consumption. Unit costs were estimated using official tariffs and salaries in Spain. A deterministic sensitivity analysis was conducted to test the uncertainty of the model.

Results
The average annual total cost was estimated at €98,839 per prevalent patient (FC I-II: €65,233; FC III: €103,736; FC IV: €208,821), being €42,110 for incident patients (FC I-II: €25,666; FC III: €44,667; FC IV: €95,188). The total annual cost of PAH in Spain, taking into account a prevalence between 16.0 and 25.9 cases per million adult inhabitants (FC I-II 31.8%; FC III 61.3%; FC IV 6.9%) and an incidence of 3.7, was estimated at €67,891,405 to €106,131,626, depending on the prevalence considered. Direct healthcare costs accounted for 64% of the total cost, followed by indirect costs (24%), and direct non-healthcare costs (12%). The total costs associated with patients in FC I-II ranged between €14,161,651 and €22,193,954, while for patients in FC III costs ranged between €43,763,019 and €68,391,651, and for patients in FC IV between €9,966,735 and €15,546,021. In global terms, patients with the worst functional status (FC IV) account for only 6.9% of the adults suffering from PAH in Spain, but are responsible for 14.7% of the total costs.

Conclusions
PAH places a considerable economic burden on patients and their families, the healthcare system, and society as a whole. Efforts must be made to improve the health and management of these patients since the early stages of the disease.
Parastomal hernias after cystectomy and ileal conduit urinary diversion: surgical treatment and the use of prophylactic mesh: a systematic review
Authors: Dewulf M. , Hildebrand N. D. , Bouwense S. A. W. , Bouvy N. D. , Muysoms F. 
Published: March 2022

Abstract
Background
Parastomal hernia after ileal conduit urinary diversion is an underestimated and undertreated clinical entity, which heavily impairs patients’ quality of life due to symptoms of pain, leakage, application or skin problems. As for all gastrointestinal stomata the best surgical repair technique has yet to be determined. Thereby, surgery for ileal conduit parastomal hernias poses some specific perioperative challenges. This review aims to give an overview of current evidence on the surgical treatment of parastomal hernia after cystectomy and ileal conduit urinary diversion, and on the use of prophylactic mesh at index surgery in its prevention.

Methods
A systematic review was performed according to PRISMA-guidelines. The electronic databases Embase, PubMed, Cochrane Library, and Web of Science were searched. Studies were included if they presented postoperative outcomes of patients undergoing surgical treatment of parastomal hernia at the ileal conduit site, irrespective of the technique used. A search was performed to identify additional studies on prophylactic mesh in the prevention of ileal conduit parastomal hernia, that were not identified by the initial search.

Results
Eight retrospective case-series were included for analysis, reporting different surgical techniques. If reported, highest complication rate was 45%. Recurrence rates varied highly, ranging from 0 to 80%. Notably, lower recurrence rates were reported in studies with shorter follow-up. Overall, available data suggest significant morbidity after the surgical treatment of ileal conduit parastomal hernias. Data from five conference abstracts on the matter were retrieved, and systematically reported. Regarding prophylactic mesh in the prevention of ileal conduit parastomal hernia, 5 communications were identified. All of them used keyhole mesh in a retromuscular position, and reported on favorable results in the mesh group without an increase in mesh-related complications.

Conclusion
Data on the surgical treatment of ileal conduit parastomal hernias and the use of prophylactic mesh in its prevention is scarce. Given the specific perioperative challenges and the paucity of reported results, more high-quality evidence is needed to determine the optimal treatment of this specific surgical problem. Initial results on the use of prophylactic mesh in the prevention of ileal conduit parastomal hernias seem promising.
The neonatal onset diabetes mellitus of Chinese neonate with congenital generalized lipodystrophy 2: a case report
Authors: Yang Yuan , Ma Li , Sun Jingjing , Gong Xiaohui , Cai Cheng , Hong Wenchao 
Published: March 2022

Abstract
Background
Congenital generalized lipodystrophy (CGL) is a clinically heterogeneous disorder characterized by near total absence of adipose tissue along with metabolic complications. Diabetes mellitus developed from CGL usually present between ages 15 and 20 years, and there are few reports in neonate.

Case presentation
In this report, we described a rare clinical presentation of CGL in a 12-day-old Chinese female neonates with hyperglycemia, hyperlipidemia, and subsequently appeared diabetes, hepatomegaly and fatty liver. The two clinical-exome sequencing identified heterozygous null mutations (c.793C > T and c.565G > T) in BSCL2 gene which was inherited from father and mother respectively. To date, it was the firstly reported CGL patient with neonatal onset diabetes. The neonate was treated with antibiotic, insulin and deeply hydrolyzed formula milk to significantly decrease FBG and serum trigylcerides levels.

Conclusions
Our case report analyzes the causes of early onset diabetes may relate with the locus of BSCL2 gene mutations and infection induction. It also suggests the importance of early identification, genetic analysis, and symptomatic treatment in the CGL, which are essential for improving the prognosis of children.
Glycemic outcomes of Advanced Hybrid Closed Loop system in children and adolescents with Type 1 Diabetes, previously treated with Multiple Daily Injections (MiniMed 780G system in T1D individuals, previously treated with MDI)
Authors: Petrovski Goran , Al Khalaf Fawziya , Campbell Judith , Day Emma , Almajaly Douha , Hussain Khalid , Pasha Maheen , Umer Fareeda , Hamdan Manar , Khalifa Amel 
Published: March 2022

Abstract
Background
The objective of this study was to evaluate the glycemic outcomes in children and adolescents with Type 1 Diabetes (T1D) previously treated with Multiple Daily Injections (MDI) using a structured initiation protocol for the Advanced Hybrid Closed Loop (AHCL) Minimed 780G insulin pump system.

Methods
In this prospective open label single-arm, single-center, clinical investigation, we recruited children and adolescents (aged 7–17 years) with T1D on MDI therapy and HbA1c below 12.5%. All participants followed a 10-day structured initiation protocol which included 4 steps: step 1: AHCL system assessment; step 2: AHCL system training; step 3: Sensor augmented pump therapy (SAP) for 3 days; step 4: AHCL system use for 12 weeks, successfully completing the training from MDI to AHCL in 10 days. The primary outcome of the study was the change in the time spent in the target in range (TIR) of 70–180 mg/dl and HbA1c from baseline (MDI + CGM, 1 week) to study phase (AHCL, 12 weeks). The paired student t-test was used for statistical analysis and a value < 0.05 was considered statistically significant.

Results
Thirty-four participants were recruited and all completed the 12 weeks study. TIR increased from 42.1 ± 18.7% at baseline to 78.8 ± 6.1% in the study phase (p < 0.001). HbA1c decreased from 8.6 ± 1.7% (70 ± 18.6 mmol/mol) at baseline, to 6.5 ± 0.7% (48 ± 7.7 mmol/mol) at the end of the study (p = 0.001). No episodes of severe hypoglycemia or DKA were reported.

Conclusion
Children and adolescents with T1D on MDI therapy who initiated the AHCL system following a 10-days structured protocol achieved the internationally recommended goals of glycemic control with TIR > 70% and a HbA1c of < 7%.
A retrospective review of the community medicine needs from osteoporosis services in Canada
Authors: Kline Gregory A. , Symonds Christopher J. , Billington Emma O. 
Published: March 2022

Abstract
Background
Comprehensive, real-world osteoporosis care has many facets not explicitly addressed in practice guidelines. We sought to determine the areas of knowledge and practice needs in osteoporosis medicine for the purpose of developing an osteoporosis curriculum for specialist trainees and knowledge translation tools for primary care.

Methods
This was a retrospective review of referral questions received from primary care and specialists to an academic, multi-disciplinary tertiary osteoporosis and metabolic bone clinic. There were 400 referrals in each of 5 years (2015–2019) selected randomly for review. The primary referral question was elucidated and assigned to one of 16 pre-determined referral topics reflecting questions in the care of osteoporosis and metabolic bone patients. The top 7 referral topics by frequency were determined while recording the referral source.

Results
The majority of referrals (71%) came from urban primary care. The most common specialists to request care included rheumatology, oncology, gastroenterology and orthopedic surgery (fracture liaison services). Primary care referrals predominantly requested assistance with routine osteoporosis assessments, bisphosphonate holidays, bisphosphonate adverse effects/alternatives, fractures occurring despite therapy and adverse changes on bone densitometry despite treatment. Specialists most often referred patients with complex secondary bone diseases or cancer. The main study limitation was that knowledge needs of referring physicians were inferred from the referral question rather than tested directly.

Conclusion
By assessing actual community demand for services, this study identified several such topics that may be useful targets to develop high quality knowledge translation tools and curriculum design in programs training specialists in osteoporosis care.
Solving the class imbalance problem using ensemble algorithm: application of screening for aortic dissection
Authors: Liu Lijue , Wu Xiaoyu , Li Shihao , Li Yi , Tan Shiyang , Bai Yongping 
Published: March 2022

Abstract
Background
Imbalance between positive and negative outcomes, a so-called class imbalance, is a problem generally found in medical data. Despite various studies, class imbalance has always been a difficult issue. The main objective of this study was to find an effective integrated approach to address the problems posed by class imbalance and to validate the method in an early screening model for a rare cardiovascular disease aortic dissection (AD).

Methods
Different data-level methods, cost-sensitive learning, and the bagging method were combined to solve the problem of low sensitivity caused by the imbalance of two classes of data. First, feature selection was applied to select the most relevant features using statistical analysis, including significance test and logistic regression. Then, we assigned two different misclassification cost values for two classes, constructed weak classifiers based on the support vector machine (SVM) model, and integrated the weak classifiers with undersampling and bagging methods to build the final strong classifier. Due to the rarity of AD, the data imbalance was particularly prominent. Therefore, we applied our method to the construction of an early screening model for AD disease. Clinical data of 523,213 patients from the Institute of Hypertension, Xiangya Hospital, Central South University were used to verify the validity of this method. In these data, the sample ratio of AD patients to non-AD patients was 1:65, and each sample contained 71 features.

Results
The proposed ensemble model achieved the highest sensitivity of 82.8%, with training time and specificity reaching 56.4 s and 71.9% respectively. Additionally, it obtained a small variance of sensitivity of 19.58 × 10–3 in the seven-fold cross validation experiment. The results outperformed the common ensemble algorithms of AdaBoost, EasyEnsemble, and Random Forest (RF) as well as the single machine learning (ML) methods of logistic regression, decision tree, k nearest neighbors (KNN), back propagation neural network (BP) and SVM. Among the five single ML algorithms, the SVM model after cost-sensitive learning method performed best with a sensitivity of 79.5% and a specificity of 73.4%.

Conclusions
In this study, we demonstrate that the integration of feature selection, undersampling, cost-sensitive learning and bagging methods can overcome the challenge of class imbalance in a medical dataset and develop a practical screening model for AD, which could lead to a decision support for screening for AD at an early stage.
Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity
Authors: Sabharwal Paul , Hurst Jillian H. , Tejwani Rohit , Hobbs Kevin T. , Routh Jonathan C. , Goldstein Benjamin A. 
Published: March 2022

Abstract
Background
Clinical decision support (CDS) tools built using adult data do not typically perform well for children. We explored how best to leverage adult data to improve the performance of such tools. This study assesses whether it is better to build CDS tools for children using data from children alone or to use combined data from both adults and children.

Methods
Retrospective cohort using data from 2017 to 2020. Participants include all individuals (adults and children) receiving an elective surgery at a large academic medical center that provides adult and pediatric services. We predicted need for mechanical ventilation or admission to the intensive care unit (ICU). Predictor variables included demographic, clinical, and service utilization factors known prior to surgery. We compared predictive models built using machine learning to regression-based methods that used a pediatric or combined adult-pediatric cohort. We compared model performance based on Area Under the Receiver Operator Characteristic.

Results
While we found that adults and children have different risk factors, machine learning methods are able to appropriately model the underlying heterogeneity of each population and produce equally accurate predictive models whether using data only from pediatric patients or combined data from both children and adults. Results from regression-based methods were improved by the use of pediatric-specific data.

Conclusions
CDS tools for children can successfully use combined data from adults and children if the model accounts for underlying heterogeneity, as in machine learning models.
Enhancing clinician participation in quality improvement training: implementation and impact of an evidence-based initiative to maximise antenatal clinician participation in training regarding women’s alcohol consumption during pregnancy
Authors: Dray J. , Licata M. , Doherty E. , Tully B. , Williams B. , Curtin S. , White D. , Lecathelinais C. , Ward S. , Hasson S. , Elliott E. J. , Wiggers J. , Kingsland M. 
Published: March 2022

Abstract
Background
There are significant challenges in ensuring sufficient clinician participation in quality improvement training. Clinician capability has been identified as a barrier to the delivery of evidence-based care. Clinician training is an effective strategy to address this barrier, however, there are significant challenges in ensuring adequate clinician participation in training. This study aimed to assess the extent of participation by antenatal clinicians in evidence-based training to address alcohol consumption during pregnancy, and to assess differences in participation by profession.

Methods
A 7-month training initiative based on six evidence-based principles was implemented in a maternity service in New South Wales, Australia. Descriptive statistics described participation in training (% attending: any training; six evidence-based principles of training; all principles). Regression analyses examined differences by profession.

Results
Almost all antenatal clinicians participated in some training (182/186; 98%); 69% participated in ≥1 h of training (μ = 88.2mins, SD:56.56). The proportion of clinicians participating in training that satisfied each of the six principles ranged from 35% (training from peers and experts) to 82% (training was educational and instructional). Only 7% participated in training that satisfied all principles. A significantly higher proportion of midwifery compared to medical clinicians participated in training satisfying five of the six training principles.

Conclusions
A training initiative based on evidence-based principles resulted in almost all clinicians receiving some training and 69% participating in at least 1 h of training. Variability between professions suggests training needs to be tailored to such groups. Further research is required to determine possible associations with care delivery outcomes.

Trial registration
Australian and New Zealand Clinical Trials Registry, No. ACTRN12617000882325 (date registered: 16/06/2017).