bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of 12-cm versus 6-cm long peripheral catheters in patients with difficult intravenous access (DIVA)
Authors: Pavelkova Katerina , Lisova Katerina , Blahova Petra , Mokra Dana , Hloch Ondrej , Charvat Jiri 
Published: December 2020

Background: Long peripheral catheter is 6–15 cm long vascular device. The aim of the study was to compare the frequency of complications of two types of long peripheral catheters with different length inserted in DIVA patients. Methods: Under ultrasound navigation 2.7F 6.4 cm or 4Fr 12 cm long peripheral catheter was inserted. Complications of both long peripheral catheters were prospectively observed and their relationship to the patient’s age, gender, selected vein, number of punctures and Barthel score system was evaluated. Results: Ninety-three 12 cm and fifty-five 6.4 cm long peripheral catheters were inserted. Median of dwelling time was 8 days for 6.4 cm and 9 days for 12 cm long peripheral catheter. There were 17 (26%) complications in 6.4 cm (38/1000 catheter days) and 15 (16%) in 12 cm catheter (17/1000 catheter days), p = 0.04. The complications of both peripheral catheters were not associated with the age of patients, gender, number of punctures and selected vein for insertion. Unlike 12 cm catheter, the complications of 6.4 cm long peripheral catheter were significantly associated with the result of Barthel scoring system ( p = 0.003). Conclusion: The frequency of complications was more common with 6,4 cm than with 12 cm catheter.
A Novel Circulating MiRNA-Based Signature for the Diagnosis and Prognosis Prediction of Early-Stage Cervical Cancer
Authors: Qiu Huajuan , Liang Duoxian , Liu Limin , Xiang Qun , Yi Zhijun , Ji Yanqin 
Published: December 2020

Background: MicroRNAs (miRNAs) have been shown to play a key role in regulating the progression of cervical cancer (CC). This study aimed to develop a circulating miRNA-based molecular signature for the diagnosis and prognosis prediction of early-stage CC. Methods: This study included 112 patients diagnosed with early-stage CC, 45 patients confirmed with cervical intraepithelial neoplasia (CIN) and 90 healthy subjects. Compared to the normal controls, the expression level of miR-21 was increased, while the levels of miR-125b and miR-370 were decreased in CC in both GSE30656 and The Cancer Genome Atlas (TCGA) cohort. The expression levels and diagnostic value of these candidate miRNAs were then validated through qRT-PCR. Their diagnostic and prognostic values for early-stage CC were further explored. Results: Compared to the patients with CIN and healthy subjects, serum miR-21 was increased, while serum miR-125b and serum miR-370 were reduced in early-stage CC. In addition, combining these molecules yielded good performance for differentiating early-stage CC from CIN or healthy subjects. Moreover, strong association was found between serum miR-21 and lymph node metastasis (LNM) as well as recurrence-free survival of early-stage CC. Similar observations were found for serum miR-125b and serum miR-370. Patients with simultaneously high serum miR-21 + low serum miR-125b + low serum miR-370 suffered a high risk of LNM and recurrence, while those with low serum miR-21 + high serum miR-125b + high serum miR-370 had little risk for LNM and recurrence. Conclusions: Combining serum miR-21, miR-125b and miR-370 as a miRNA-based signature is promising for the detection and prognosis prediction of early-stage CC.
Effect of Surgical Mask on Setup Error in Head and Neck Radiotherapy
Authors: Ding Yi , Ma Pingping , Li Wei , Wei Xueyan , Qiu Xiaoping , Hu Desheng , Wu Yuan , Wei Wei , Zeng Fanyu , Wang Xiaohong , Wang Xiao 
Published: December 2020

Purpose: With the widespread prevalence of Corona Virus Disease 2019 (COVID-19), cancer patients are suggested to wear a surgical mask during radiation treatment. In this study, cone beam CT (CBCT) was used to investigate the effect of surgical mask on setup errors in head and neck radiotherapy. Methods: A total of 91 patients with head and neck tumors were selected. CBCT was performed to localize target volume after patient set up. The images obtained by CBCT before treatment were automatically registered with CT images and manually fine-tuned. The setup errors of patients in 6 directions of Vrt, Lng, Lat, Pitch, Roll and Rotation were recorded. The patients were divided into groups according to whether they wore the surgical mask, the type of immobilization mask used and the location of the isocenter. The setup errors of patients were calculated. A t-test was performed to detect whether it was statistically significant. Results: In the 4 groups, the standard deviation in the directions of Lng and Pitch of the with surgical mask group were all higher than that in the without surgical mask group. In the head-neck-shoulder mask group, the mean in the Lng direction of the with surgical mask group was larger than that of the without surgical mask group. In the lateral isocenter group, the mean in the Lng and Pitch directions of the with surgical mask group were larger than that of the without surgical mask group. The t-test results showed that there was significant difference in the setup error between the 2 groups ( p = 0.043 and p = 0.013, respectively) only in the Lng and Pitch directions of the head-neck-shoulder mask group. In addition, the setup error of 6 patients with immobilization open masks exhibited no distinguished difference from that of the patients with regular immobilization masks. Conclusion: In the head and neck radiotherapy patients, the setup error was affected by wearing surgical mask. It is recommended that the immobilization open mask should be used when the patient cannot finish the whole treatment with a surgical mask.
Secreted Peptides for Diagnostic Trajectory Assessments in Brain Injury Rehabilitation
Authors: Patel Parantap D. , Stafflinger Jillian E. , Marwitz Jennifer H. , Niemeier Janet P. , Ottens Andrew K. 
Published: December 2020

Background Rehabilitation following traumatic brain injury (TBI) significantly improves outcomes; yet TBI heterogeneity raises the need for molecular evidence of brain recovery processes to better track patient progress, evaluate therapeutic efficacy, and provide prognostication. Objective Here, we assessed whether the trajectory of TBI-responsive peptides secreted into urine can produce a predictive model of functional recovery during TBI rehabilitation. Methods The multivariate urinary peptidome of 12 individuals with TBI was examined using quantitative peptidomics. Measures were assessed upon admission and discharge from inpatient rehabilitation. A combination of Pavlidis template matching and partial least-squares discriminant analysis was used to build models on Disability Rating Scale (DRS) and Functional Independence Measure (FIM) scores, with participants bifurcated into more or less functional improvement groups. Results The produced models exhibited high sensitivity and specificity with the area under the receiver operator curve being 0.99 for DRS- and 0.95 for FIM-based models using the top 20 discriminant peptides. Predictive ability for each model was assessed using robust leave-one-out cross-validation with Q2 statistics of 0.64 ( P = .00012) and 0.62 ( P = .011) for DRS- and FIM-based models, respectively, both with a high predictive accuracy of 0.875. Identified peptides that discriminated improved functional recovery reflected heightened neuroplasticity and synaptic refinement and diminished cell death and neuroinflammation, consistent with postacute TBI pathobiology. Conclusions Produced models of urine-based peptide measures reflective of ongoing recovery pathobiology can inform on rehabilitation progress after TBI, warranting further study to assess refined stratification across a larger population and efficacy in assessing therapeutic interventions.
Detection of an Autism EEG Signature From Only Two EEG Channels Through Features Extraction and Advanced Machine Learning Analysis
Authors: Grossi Enzo , Valbusa Giovanni , Buscema Massimo 
Published: December 2020

Background and Objective In 2 previous studies, we have shown the ability of special machine learning systems applied to standard EEG data in distinguishing children with autism spectrum disorder (ASD) from non-ASD children with an overall accuracy rate of 100% and 98.4%, respectively. Since the equipment routinely available in neonatology units employ few derivations, we were curious to check if just 2 derivations were enough to allow good performance in the same cases of the above-mentioned studies. Methods A continuous segment of artifact-free EEG data lasting 1 minute in ASCCI format from C3 and C4 EEG channels present in 2 previous studies, was used for features extraction and subsequent analyses with advanced machine learning systems. A features extraction software package (Python tsfresh) applied to time-series raw data derived 1588 quantitative features. A special hybrid system called TWIST (Training with Input Selection and Testing), coupling an evolutionary algorithm named Gen-D and a backpropagation neural network, was used to subdivide the data set into training and testing sets as well as to select features yielding the maximum amount of information after a first variable selection performed with linear correlation index threshold. Results After this intelligent preprocessing, 12 features were extracted from C3-C4 time-series of study 1 and 36 C3-C4 time-series of study 2 representing the EEG signature. Acting on these features the overall accuracy predictive capability of the best artificial neural network acting as a classifier in deciphering autistic cases from typicals (study 1) and other neuropsychiatric disorders (study 2) resulted in 100 % for study 1 and 94.95 % for study 2. Conclusions The results of this study suggest that also a minor part of EEG contains precious information useful to detect autism if treated with advanced computational algorithms. This could allow in the future to use standard EEG from newborns to check if the ASD signature is already present at birth.
The Queensland Birth Cohort Study for Early Childhood Caries: Results at 7 Years
Authors: Harrison-Barry L. , Elsworthy K. , Pukallus M. , Leishman S.J. , Boocock H. , Walsh L.J. , Seow W.K. 
Published: December 2020

Aims: This study investigated caries predictors in 378 children remaining from a birth cohort of 1,052 at 7 y and compared the efficacy of home visits (HVs) and telephone contacts (TCs) for early childhood caries (ECC) prevention. Methods: The HVs or TCs were made at ages 6, 12, 18, 30, and 42 mo with annual dental clinic examinations at ages 2 to 7 y. At every visit, the parents completed validated questionnaires regarding the children’s family, medical, dental, and dietary histories. Results: The caries prevalence increased from 2% and 6% at ages 2 and 3 y to 15%, 33%, 42%, and 52% at ages 4 to 7 y. The mean caries experience (decayed, missing, and teeth extracted due to caries) of the total cohort increased from 0.1 ± 0.5 at age 2 y to 0.2 ± 1.1 at 3 y, 0.5 ± 1.6 at 4 y, 1.1 ± 2.4 at 5 y, 1.6 ± 2.6 at 6 y, and 2.0 ± 2.7 at 7 y. The prevalence of mutans streptococci (MS) in the total cohort at years 2 to 7 was 22%, 36%, 42%, 42%, 39%, and 44%, respectively. MS was strongly correlated with caries prevalence for all years (all P < 0.001). Statistical modeling employing the generalized estimating equations identified caries predictors as holding a Health Care Card (low socioeconomic status) ( P = 0.009; odds ratio [OR] = 2.05; confidence interval [CI]: 1.20–3.52), developmental defects of enamel (DDEs) ( P < 0.001; OR = 1.09; CI: 1.05–1.14), and MS counts ≤105/mL ( P = 0.001; OR = 1.63; CI: 1.24–2.14). By contrast, HVs were more protective than TCs for caries ( P = 0.008; OR = 0.42; CI: 0.22–0.80). Conclusions: This study provides prospective, clinical evidence that MS, DDEs, and low socioeconomic status are strongly correlated with early childhood caries and that HVs are more efficacious than TCs in ECC prevention. Knowledge Transfer Statement: This 7-y birth cohort study provides longitudinal clinical evidence that mutans streptococci, developmental defects of enamel, and low socioeconomic status are key risk indicators of early childhood caries.
Lower-Third SLOE Rankings Impede, But Do Not Prevent, A Match in Emergency Medicine Residency Training
Authors: Hansroth Joseph A , Davis Kristin H , Quedado Kimberly D , Davis Stephen M , Kiefer Autumn S , Shaver Erica B , Kiefer Christopher S , Cottrell Scott , Ferrari Norman D 
Published: December 2020

Objective: Emergency medicine program directors (PD) value the standardized letter of evaluation (SLOE) as the most important aspect of a residency application when making both invitation and ranking decisions. This study aims to determine whether the presence of any lower-third in either SLOE global assessment (GA) question impacted the ability of an applicant to match into EM. We hypothesized that any lower-third ranking would be associated with increased odds of not matching into EM. Methods: We conducted a retrospective cohort study evaluating allopathic applicants from medical schools in the United States (US allopathic applicants) to a single EM residency program during the 2018/2019 match cycles. GA SLOE rankings from all applications were tabulated and compared to the applicant’s National Resident Matching Program (NRMP) match outcome. Comparative analyses were conducted between SLOE groupings and odds ratios (OR) were calculated. Results: A total of 2,017 SLOEs from 781 US allopathic applicants were analyzed during the study period. Of the total, 277 (35%) applicants in our sample had any lower-third GA ranking, which significantly decreased an applicant’s odds of matching in EM by 79% (OR 0.21, 95% CI, 0.12-0.34). Having more than one lower-third GA ranking did not further statistically decrease the odds of a successful EM match (OR 0.60, 95% CI 0.31-1.17). As a secondary finding of the study, results demonstrate that those applicants having no lower-third GA rankings had a nearly 5 times increased odds of an EM match (OR 4.84, 95% CI, 2.91-8.03). Conclusion: Having any lower-third GA ranking significantly reduced an applicant’s chances of matching into an EM program. Faculty advisors should be aware of the increased risk of not matching for any applicant with any lower-third GA ranking and advise students appropriately, while maintaining the integrity of the SLOE and not divulging the confidential information contained within.
Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure
Authors: Deng Lei , Liu Youzhi , Shi Yechuan , Zhang Wenhao , Yang Chun , Liu Hui 
Published: December 2020

AbstractBackgroundRNA binding proteins (RBPs) play a vital role in post-transcriptional processes in all eukaryotes, such as splicing regulation, mRNA transport, and modulation of mRNA translation and decay. The identification of RBP binding sites is a crucial step in understanding the biological mechanism of post-transcriptional gene regulation. However, the determination of RBP binding sites on a large scale is a challenging task due to high cost of biochemical assays. Quite a number of studies have exploited machine learning methods to predict binding sites. Especially, deep learning is increasingly used in the bioinformatics field by virtue of its ability to learn generalized representations from DNA and protein sequences.ResultsIn this paper, we implemented a novel deep neural network model, DeepRKE, which combines primary RNA sequence and secondary structure information to effectively predict RBP binding sites. Specifically, we used word embedding algorithm to extract features of RNA sequences and secondary structures, i.e., distributed representation of k-mers sequence rather than traditional one-hot encoding. The distributed representations are taken as input of convolutional neural networks (CNN) and bidirectional long-term short-term memory networks (BiLSTM) to identify RBP binding sites. Our results show that deepRKE outperforms existing counterpart methods on two large-scale benchmark datasets.ConclusionsOur extensive experimental results show that DeepRKE is an efficacious tool for predicting RBP binding sites. The distributed representations of RNA sequences and secondary structures can effectively detect the latent relationship and similarity between k-mers, and thus improve the predictive performance. The source code of DeepRKE is available athttps://github.com/youzhiliu/DeepRKE/.
Novel risk scoring system for predicting acute respiratory distress syndrome among hospitalized patients with coronavirus disease 2019 in Wuhan, China
Authors: Liang Mengyuan , He Miao , Tang Jian , He Xinliang , Liu Zhijun , Feng Siwei , Chen Ping , Li Hui , Xue Yu’e , Bai Tao , Ma Yanling , Zhang Jianchu 
Published: December 2020

Abstract
Background
The mortality rate from acute respiratory distress syndrome (ARDS) is high among hospitalized patients with coronavirus disease 2019 (COVID-19). Hence, risk evaluation tools are required to immediately identify high-risk patients upon admission for early intervention.

Methods
A cohort of 220 consecutive patients with COVID-19 were included in this study. To analyze the risk factors of ARDS, data obtained from approximately 70% of the participants were randomly selected and used as training dataset to establish a logistic regression model. Meanwhile, data obtained from the remaining 30% of the participants were used as test dataset to validate the effect of the model.

Results
Lactate dehydrogenase, blood urea nitrogen, D-dimer, procalcitonin, and ferritin levels were included in the risk score system and were assigned a score of 25, 15, 34, 20, and 24, respectively. The cutoff value for the total score was > 35, with a sensitivity of 100.00% and specificity of 81.20%. The area under the receiver operating characteristic curve and the Hosmer–Lemeshow test were 0.967 (95% confidence interval [CI]: 0.925–0.989) and 0.437(P Value = 0.437). The model had excellent discrimination and calibration during internal validation.

Conclusions
The novel risk score may be a valuable risk evaluation tool for screening patients with COVID-19 who are at high risk of ARDS.
A non-synonymous variant rs12614 of complement factor B associated with risk of chronic hepatitis B in a Korean population
Authors: Seo Jung Yeon , Shin Joong-Gon , Youn Byeong Ju , Namgoong Suhg , Cheong Hyun Sub , Kim Lyoung Hyo , Kim Ji On , Shin Hyoung Doo , Kim Yoon Jun 
Published: December 2020

Abstract
Background
Hepatitis B is known to cause several forms of liver diseases including chronic hepatitis B (CHB), and hepatocellular carcinoma. Previous genome-wide association study of CHB risk has demonstrated that rs12614 of complement factor B (CFB) was significantly associated with CHB risk. In this study, fine-mapping study of previously reported GWAS single nucleotide polymorphism (SNP; CFB rs12614) was performed to validate genetic effect of rs12614 on CHB susceptibility and identify possible additional causal variants around rs12614 in a Korean population. This association study was conducted in order to identify genetic effects of CFB single nucleotide polymorphisms (SNPs) and to identify additional independent CHB susceptible causal markers within a Korean population.

Methods
A total of 10 CFB genetic polymorphisms were selected and genotyped in 1716 study subjects comprised of 955 CHB patients and 761 population controls.

Results
A non-synonymous variant, rs12614 (Arg32Trp) in exon2 of CFB, had significant associations with risk of CHB (odds ratio = 0.43, P = 5.91 × 10− 10). Additional linkage disequilibrium and conditional analysis confirmed that rs12614 had independent genetic effect on CHB susceptibility with previously identified CHB markers. The genetic risk scores (GRSs) were calculated and the CHB patients had higher GRSs than the population controls. Moreover, OR was found to increase significantly with cumulative GRS.

Conclusions
rs12614 showed significant genetic effect on CHB risk within the Korean population. As such rs12614 may be used as a possible causal genetic variant for CHB susceptibility.
Brimonidine-associated uveitis – a descriptive case series
Authors: Hopf Susanne , Mercieca Karl , Pfeiffer Norbert , Prokosch-Willing Verena 
Published: December 2020

Abstract
Background
Anterior uveitis secondary to topical brimonidine administration is rare and not well-defined. In glaucoma patients using brimonidine, one must consider this phenomenon to avoid mis-diagnosis and over-treatment with topical steroids which in turn may increase intraocular pressure (IOP). This is the largest case series including the longest patient follow-up in the current literature.

Methods
Sixteen patients (26 eyes) with consultant diagnosed brimonidine-associated anterior uveitis in a tertiary referral glaucoma clinic presenting between 2015 and 2019 were included in this retrospective case series. Clinical records were taken for descriptive analysis. Main outcome measures were the key clinical features, and disease course (therapy, IOP control, patient outcome).

Results
Key features were conjunctival ciliary injection and mutton fat keratic precipitation in all eyes. The findings were bilateral in 10 patients. Time between initiation of brimonidine treatment and presentation was 1 week to 49 months. Glaucoma sub-types were mostly pseudo-exfoliative and primary open angle glaucoma. Brimonidine treatment was stopped immediately. Additionally, topical corticosteroids were prescribed in 18 eyes and tapered down during the following 4 weeks. Thirteen eyes did not need surgical or laser treatment (median follow-up time 15 months). No patient showed recurrence of inflammation after cessation of brimonidine.

Conclusions
This type of anterior uveitis is an uncommon but important manifestation which should always be considered in glaucoma patients on brimonidine treatment. Although treatable at its root cause, problems may persist, especially with respect to IOP control. The latter may necessitate glaucoma surgery after the resolved episode of the uveitis.