bluuebunny/crossref_metadata_2025_split huggingface dataset:
A 12-year experience in the management of traumatic bladder rupture at an Australian level 1 trauma centre
Authors: Yao Henry H. , Fletcher Jan , Grummet Jeremy , Royce Peter L. , Fitzgerald Mark , Hanegbi Uri 
Published: April 2022

Objective: To review the contemporary bladder trauma epidemiology, diagnosis and management over a 12-year period at a level 1 trauma centre in Australia. Patients and Methods: From July 2001 through June 2013, 97 multi-trauma patients at a level 1 trauma centre in Australia were identified to have sustained bladder rupture. Data on demographics, clinical presentation, diagnosis, management and complications were extracted from the TraumaNET database, medical records and health-coding database. Results: Of the 97 patients, 98% of bladder ruptures resulted from blunt trauma mostly from road accidents. There was a male preponderance of 64%. Intra-peritoneal bladder rupture (51%) was the most common type of injury followed by extra-peritoneal bladder ruptures (42%) and combined intra- and extra-peritoneal bladder ruptures (7%). Concomitant pelvic fractures occurred in 78% of patients and concurrent intra-abdominal injuries in 68%. Initial imaging missed 28% of bladder ruptures, with computed tomography with intravenous contrast missing 65% of bladder ruptures. The majority of intra-peritoneal bladder ruptures and 56% of extra-peritoneal bladder ruptures were repaired surgically, with 83% of repairs performed in conjunction with another surgical procedure. The in-hospital mortality rate was 9%, and all deaths were due to concomitant injuries. Conclusion: Traumatic bladder rupture is associated with a 9% mortality rate due to the frequently associated significant concurrent injuries. Computed tomography cystogram or plain cystogram is the imaging modality of choice in diagnosing bladder rupture. Intra-peritoneal bladder ruptures should be repaired surgically, while extra-peritoneal bladder ruptures can be treated conservatively in selected patients. The timing of surgical repair should be coordinated with other specialties. Level of evidence: 4
Predictors of Intention to Vaccinate Against COVID-19 in a Peruvian Sample
Authors: Morales-García Wilter C. , Huancahuire-Vega Salomón , Saintila Jacksaint , Morales-García Mardel , Fernández-Molocho Lili , Ruiz Mamani Percy G. 
Published: April 2022

Background: Vaccination against COVID-19 is considered one of the most effective strategies to control this global public health crisis. However, vaccine hesitancy is one of the main threats to mitigating the pandemic. The present study aimed to identify predictors of intention to vaccinate against COVID-19 in 3 geographical regions of Peru. Methods: An online analytical cross-sectional study was conducted. Participants were selected by non-probability convenience sampling and size was estimated using the online statistical calculator proposed by Soper. A total of 529 Peruvian nationals completed the questionnaires. Student’s t-test and Fisher’s F test (ANOVA) were used. A significance level of .05 was considered. Results: Face-to-face work (β = 2.037, P < .001), fear of COVID-19 (β = .461, P < .001), vaccine confidence (β = 2.881, P < .001) and trust in health care institutions (β = .432, P < .01) predict a higher intention to receive the vaccine. However, the variables perception of a worldwide conspiracy (β = −1.900, P < .001), and practice Protestant religion (β = −2.274, P < .001) predict negatively their acceptance. Conclusion: Several positive predictors of intention to vaccinate against COVID-19 have been identified. However, having a perception of a global conspiracy and practice Protestant religion are shown to be risk variables for vaccine acceptance. Therefore, there is a need to develop strategies to ensure high uptake and success of COVID-19 vaccination campaigns.
From high school to postsecondary education, training, and employment: Predicting outcomes for young adults with autism spectrum disorder
Authors: Yamamoto Scott H. , Alverson Charlotte Y. 
Published: April 2022

Background and Aims The fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and predictive modeling. Methods Data from two states were analyzed using two predictive analytics (PA) methods: multilevel logistic regression and machine learning. The receiver operating characteristic curve (ROC) analysis was used to assess predictive performance. Results Data analyses produced two results. One, the strongest predictor of PSO for exited students with ASD was graduating from high school. Two, machine learning performed better than multilevel logistic regression in predicting PSO engagement across the two states. Conclusion This study contributed two new and important findings to the literature: (a) PA models should be applied to state PSO data because they produce useful information, and (b) PA models are accurate and reliable over time. Implications These findings can be used to support state and local educators to make decisions about policies, programs, and practices for exited high school students with ASD, to help them successfully transition to adult life.
Recovery and Return to Activity 1 Year After Ankle Fracture Managed With Open Reduction and Internal Fixation: A Prospective Longitudinal Cohort Study
Authors: Ramadi Ailar , Beaupre Lauren A. , Heinrichs Luke , Pedersen M. Elizabeth 
Published: April 2022

Background: Ankle fractures are common and frequently managed with open reduction and internal fixation (ORIF). Although these fractures can occur at any age, they are most common in younger individuals with high-energy trauma or older adults with lower-energy trauma. Our investigation focused on those aged 65 years or younger. Our primary objective was to describe recovery over the first postfracture year in (1) functional dorsiflexion using the weightbearing lunge test (WBLT), (2) patient-reported functional outcomes using the Olerud Molander Ankle Score (OMAS), (3) return to prefracture activity levels, and (4) return to work. Secondarily, we examined patient and clinical factors (including the WBLT and OMAS) associated with return to prefracture activities, including sports. Methods: Using a prospective inception cohort of 142 patients between 18 and 65 years old who underwent ORIF after ankle fracture and attended follow-up visits, we collected information from participants and their medical charts. We assessed functional dorsiflexion (using side-to-side difference in WBLT), patient-reported functional outcome (OMAS), and self-reported return to prefracture activity levels and work at 6 weeks, 6 months and 1 year postoperatively. Results: The WBLT, OMAS, and return to prefracture activity and work improved significantly over time ( P < .001). However, at 1 year postoperation, the mean side-to-side difference in the WBLT was 3.22±2.68 cm, 69 (72%) reported ankle stiffness, and only 49 (52%) had returned to prefracture activity levels. Of those who were working, 97% had returned to work by 1 year postoperation. Only the OMAS ( P < .001) and side-to-side difference in WBLT ( P = .011) were significantly associated with return to prefracture activity levels. Conclusion: Although participants improved significantly over the first postoperative year in all outcomes, many reported limitations in functional dorsiflexion and return to prefracture activities. Those with higher OMAS scores and smaller side-to-side difference in WBLT were more likely to return to prefracture activity levels by 1 year postoperatively. Level of Evidence: Level II, prognostic study.
Recombinant von Willebrand factor prophylaxis in patients with severe von Willebrand disease: phase 3 study results
Authors: Leebeek Frank W. G. , Peyvandi Flora , Escobar Miguel , Tiede Andreas , Castaman Giancarlo , Wang Michael , Wynn Tung , Baptista Jovanna , Wang Yi , Zhang Jingmei , Mellgård Björn , Özen Gülden 
Published: April 2022

AbstractInternational guidelines conditionally recommend long-term prophylaxis in patients with von Willebrand disease (VWD) and severe and frequent bleeding. As recombinant von Willebrand factor (rVWF; vonicog alfa) may reduce the frequency of treated spontaneous bleeding events (BEs), we investigated the efficacy and safety of rVWF prophylaxis in adults with severe VWD. Patients with BEs requiring VWF therapy in the past year (on-demand VWF therapy [prior on-demand group] or plasma-derived VWF prophylaxis [pdVWF; switch group]) were enrolled in a prospective, open-label, nonrandomized, phase 3 study. The planned duration of rVWF prophylaxis was 12 months; starting rVWF dose was 50 ± 10 VWF: ristocetin cofactor (VWF:RCo) IU/kg twice weekly (prior on-demand group) or based on prior pdVWF weekly dose/dosing frequency (switch group). The primary endpoint was annualized bleeding rate (ABR) of treated spontaneous BEs (sABR) during rVWF prophylaxis. Over the 12-month study period, treated sABR decreased by 91.5% on-study vs historical sABR in 13 patients in the prior on-demand group, and by 45.0% in 10 patients in the switch group (model-based analysis ratio, 0.085; 95% confidence interval [CI], 0.021-0.346 and 0.550; 95% CI, 0.086-3.523, respectively). No treated spontaneous BEs were recorded in 84.6% (11/13) and 70.0% (7/10) of patients, respectively. The safety profile of rVWF was consistent with the previously established profile, with no new adverse drug reactions identified. Findings suggest that rVWF prophylaxis can reduce treated spontaneous BEs in patients previously receiving on-demand VWF therapy and maintains at least the same level of hemostatic control in patients who switch from prophylaxis with pdVWF to rVWF, with a favorable safety profile. This trial was registered at www.clinicaltrials.gov (#NCT02973087) and www.clinicaltrialsregister.eu (#EudraCT 2016-001478-14).
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data
Authors: Shao Wei , Luo Xiao , Zhang Zuoyi , Han Zhi , Chandrasekaran Vasu , Turzhitsky Vladimir , Bali Vishal , Roberts Anna R. , Metzger Megan , Baker Jarod , La Rosa Carmen , Weaver Jessica , Dexter Paul , Huang Kun 
Published: April 2022

AbstractBackgroundChronic cough affects approximately 10% of adults. The lack of ICD codes for chronic cough makes it challenging to apply supervised learning methods to predict the characteristics of chronic cough patients, thereby requiring the identification of chronic cough patients by other mechanisms. We developed a deep clustering algorithm with auto-encoder embedding (DCAE) to identify clusters of chronic cough patients based on data from a large cohort of 264,146 patients from the Electronic Medical Records (EMR) system. We constructed features using the diagnosis within the EMR, then built a clustering-oriented loss function directly on embedded features of the deep autoencoder to jointly perform feature refinement and cluster assignment. Lastly, we performed statistical analysis on the identified clusters to characterize the chronic cough patients compared to the non-chronic cough patients.ResultsThe experimental results show that the DCAE model generated three chronic cough clusters and one non-chronic cough patient cluster. We found various diagnoses, medications, and lab tests highly associated with chronic cough patients by comparing the chronic cough cluster with the non-chronic cough cluster. Comparison of chronic cough clusters demonstrated that certain combinations of medications and diagnoses characterize some chronic cough clusters.ConclusionsTo the best of our knowledge, this study is the first to test the potential of unsupervised deep learning methods for chronic cough investigation, which also shows a great advantage over existing algorithms for patient data clustering.
CoMI: consensus mutual information for tissue-specific gene signatures
Authors: Huang Sing-Han , Lo Yu-Shu , Luo Yong-Chun , Chuang Yi-Hsuan , Lee Jung-Yu , Yang Jinn-Moon 
Published: April 2022

Abstract
Background
The gene signatures have been considered as a promising early diagnosis and prognostic analysis to identify disease subtypes and to determine subsequent treatments. Tissue-specific gene signatures of a specific disease are an emergency requirement for precision medicine to improve the accuracy and reduce the side effects. Currently, many approaches have been proposed for identifying gene signatures for diagnosis and prognostic. However, they often lack of tissue-specific gene signatures.

Results
Here, we propose a new method, consensus mutual information (CoMI) for analyzing omics data and discovering gene signatures. CoMI can identify differentially expressed genes in multiple cancer omics data for reflecting both cancer-related and tissue-specific signatures, such as Cell growth and death in multiple cancers, Xenobiotics biodegradation and metabolism in LIHC, and Nervous system in GBM. Our method identified 50-gene signatures effectively distinguishing the GBM patients into high- and low-risk groups (log-rank p = 0.006) for diagnosis and prognosis.

Conclusions
Our results demonstrate that CoMI can identify significant and consistent gene signatures with tissue-specific properties and can predict clinical outcomes for interested diseases. We believe that CoMI is useful for analyzing omics data and discovering gene signatures of diseases.
Cross-species transcriptomes reveal species-specific and shared molecular adaptations for plants development on iron-rich rocky outcrops soils
Authors: Dias Mariana Costa , Caldeira Cecílio , Gastauer Markus , Ramos Silvio , Oliveira Guilherme 
Published: April 2022

Abstract
Background
Canga is the Brazilian term for the savanna-like vegetation harboring several endemic species on iron-rich rocky outcrops, usually considered for mining activities. Parkia platycephala Benth. and Stryphnodendron pulcherrimum (Willd.) Hochr. naturally occur in the cangas of Serra dos Carajás (eastern Amazonia, Brazil) and the surrounding forest, indicating high phenotypic plasticity. The morphological and physiological mechanisms of the plants’ establishment in the canga environment are well studied, but the molecular adaptative responses are still unknown. To understand these adaptative responses, we aimed to identify molecular mechanisms that allow the establishment of these plants in the canga environment.

Results
Plants were grown in canga and forest substrates collected in the Carajás Mineral Province. RNA was extracted from pooled leaf tissue, and RNA-seq paired-end reads were assembled into representative transcriptomes for P. platycephala and S. pulcherrimum containing 31,728 and 31,311 primary transcripts, respectively. We identified both species-specific and core molecular responses in plants grown in the canga substrate using differential expression analyses. In the species-specific analysis, we identified 1,112 and 838 differentially expressed genes for P. platycephala and S. pulcherrimum, respectively. Enrichment analyses showed that unique biological processes and metabolic pathways were affected for each species. Comparative differential expression analysis was based on shared single-copy orthologs. The overall pattern of ortholog expression was species-specific. Even so, we identified almost 300 altered genes between plants in canga and forest substrates with conserved responses in the two species. The genes were functionally associated with the response to light stimulus and the circadian rhythm pathway.

Conclusions
Plants possess species-specific adaptative responses to cope with the substrates. Our results also suggest that plants adapted to both canga and forest environments can adjust the circadian rhythm in a substrate-dependent manner. The circadian clock gene modulation might be a central mechanism regulating the plants’ development in the canga substrate in the studied legume species. The mechanism may be shared as a common mechanism to abiotic stress compensation in other native species.
Amplicon-based sequencing and co-occurence network analysis reveals notable differences of microbial community structure in healthy and dandruff scalps
Authors: Wang Li , Yu Tao , Zhu Yaxin , Luo Yingfeng , Dong Fan , Lin Xuemei , Zhao Wenzhong , He Zilong , Hu Songnian , Dong Zhiyang 
Published: April 2022

Abstract
Background
Dandruff is a chronic, recurring, and common scalp problem that is caused by several etiopathogeneses with complex mechanisms. Management of this condition is typically achieved via antifungal therapies. However, the precise roles played by microbiota in the development of the condition have not been elucidated. Despite their omnipresence on human scalp little is known about the co-occurrence/co-exclusion network of cutaneous microbiota.

Results
We characterized the scalp and hair surface bacterial and fungal communities of 95 dandruff-afflicted and healthy individuals residing in China. The degree distributions of co-occurrence/co-exclusion network in fungi-bacteria and bacteria-bacteria were higher in the healthy group (P < 0.0001), whereas the betweenness values are higher in the dandruff group (P < 0.01). Meanwhile, the co-occurrence/co-exclusion network among fungi-fungi and fungi-bacteria showed that compared to the healthy group, the dandruff group had more positive links (P < 0.0001). In addition, we observed that Malassezia slooffiae, Malassezia japonica and Malassezia furfur, were more abundant in the dandruff group than in the healthy group. These microbiota were co-exclusion by either multiple bacterial genera or Malassezia sp. in healthy group. The lactic acid bacteria on the scalp and hair surface, especially the genera Lactobacillus and Lactococcus, exhibit a negative correlation with multiple bacterial genera on the scalp and hair surface. Lactobacillus plantarum and Pediococcus lactis isolated on the healthy human scalp can inhibit the growth of Staphylococcus epidermidis in vitro.

Conclusions
We showed that microbial networks on scalp and hair surface with dandruff were less integrated than their healthy counterparts, with lower node degree and more positive and stronger links which were deemed to be unstable and may be more susceptible to environmental fluctuations. Lactobacillus bacteria have extensive interactions with other bacteria or fungi in the scalp and hair surface micro-ecological network and can be used as targets for improving scalp health.
Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts
Authors: Červenák Zdenko , Červenák Filip , Adamičková Adriana , Šalingová Barbara , Gažová Andrea , Kyselovič Ján 
Published: April 2022

Abstract
Background
Quantitative RT-PCR is a valuable tool for assessing the gene expression in different human tissues, particularly due to its exceptional sensitivity, accuracy and reliability. However, the choice of adequate control for normalization is a crucial step, greatly affecting the results of all subsequent analyses. So far, only a few studies were focused on the selection of optimal reference genes in left ventricles of failing human hearts, leading to several disparities in experimental results focused on differential gene expression in this area. Therefore, the main objective of this study was to identify a set of suitable reference genes in normal and failing left ventricle tissues, which could increase the reliability of RT-qPCR-based studies in the future.

Methods
We analyzed the expression of 15 commonly used housekeeping genes (ACTB, B2M, GAPDH, GUSB, HMBS, HPRT1, IPO8, PGK1, POLR2A, PPIA, RPLP0, TBP, TFRC, UBC and YWHAZ) in left ventricles of normal and failed hearts with two-step approach. In the first step, we excluded genes which are variantly expressed using ANOVA-based statistical method. Afterwards, the remaining genes were analyzed using geNorm, NormFinder and BestKeeper algorithms, together with delta Cq method. Finally, the geometric mean of gene rankings across all methods was calculated.

Results
Our analysis identified IPO8 and POLR2A as the most stably expressed genes, whereas ACTB and B2M were found to be expressed variantly, suggesting a potential role of these genes in the pathophysiological processes in failing human hearts.

Discussion/conclusion
Using our two-step approach, we identified and validated two reference genes expressed invariantly in left ventricles of both healthy and failing human hearts, as well as provided a guideline for the selection of reference genes in studies comparing gene expression in these types of tissues.
Accuracy of the Euro CTO(CASTLE) score obtained on coronary computed tomography angiography for Predicting 30-minute wire crossing in chronic total occlusions
Authors: Yu Yan-tan , Sha Zhi-yi , Chang Shu-min , Zhai Du-tian , Zhang Xiao-jiao , Hou Ai-jie , Feng Wen-jie , Li Dao-wei , Wang Yong , Luan Bo 
Published: April 2022

AbstractBackgroundTo investigate the feasibility and accuracy of the Euro CTO (CASTLE)CTAscore obtained on coronary computed tomography angiography (CCTA) for predicting the success of percutaneous coronary intervention (PCI) and the 30-min wire crossing in chronic total occlusions (CTO).MethodOne hundred and fifty patients (154 CTO cases; median age, 61 (interquartile range [IQR], 54–68) years; 75.3% male) received CCTA at the People's Hospital of Liaoning Provincce within 1 month before the procedure. The Euro CTO (CASTLE) score obtained on CCTA(CASTLECTA) was calculated and compared with the Euro CTO (CASTLE) score obtained based on coronary angiography (CASTLECAG) for the predictive value of 30-min wire crossing and CTO procedural success.ResultsIn our study, the CTO-PCI success rate was 89.0%, with guidewires of 65 cases (42.2%) crossing within 30 min. There were no significant differences in the median CASTLECTAand CASTLECAGscores in the procedure success group (3 [IQR, 2–4] vs 3 (IQR, 2–3]; p = 0.126). However, the median CASTLECTAscore was significantly higher than the median CASTLECAGscore in the procedure failure group (4 [IQR, 3–5.5] vs 4 [IQR, 2.5–5.5]; p = 0.021). There was no significant difference between the median CASTLECTAscore and the median CASTLECAGscore in the 30-min wire crossing failure group (3 [IQR, 3–4] vs 3 [IQR, 2–4]; p = 0.254). However, the median CASTLECTAscore was significantly higher than the median CASTLECAGscore in the 30-min wire crossing group (3 [IQR, 2–3] vs 2 [IQR, 2–3]; p < 0.001). The CASTLECTAscore described higher levels of calcification than the CASTLECAGscore (48.1% vs 33.8%; p = 0.015). There was no significant difference between the CASTLECTAscore (area under the curve [AUC], 0.643; 95% confidence interval [CI], 0.561–0.718) and the CASTLECAGscore (AUC, 0.685; 95% CI, 0.606–0.758) for predicting procedural success (p = 0.488). The CASTLECTAscore (AUC, 0.744; 95% CI, 0.667–0.811) was significantly better than the CASTLECAGscore (AUC, 0.681; 95% CI, 0.601–0.754; p = 0.046) for predicting 30-min wire crossing with the best cut-off value being CASTLECTA ≤ 3. The sensitivity, specificity, positive predictive value, and negative predictive value were 90.8%, 55.2%, 54.6%, and 87.0%, respectively.ConclusionThe CASTLECTAscores obtained from noninvasive CCTA perform better for the prediction of the 30-min wire crossing than the CASTLECAGscore.