bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low pre-pregnant body mass index is a risk factor for the decrease of postpartum bone mineral density in systemic lupus erythematosus patients received glucocorticoid therapy
Authors: Ishida Takaaki , Yuri Hiramatsu , Nakamura Eri , Isoda Kentaro , Wada Yumiko , Kotani Takuya , Takeuchi Tohru 
Published: April 2022

Objectives This study investigated postpartum bone mineral density (BMD) in patients with systemic lupus erythematosus (SLE) receiving long-term glucocorticoid (GC) therapy, assessed risk factors for decreased postpartum BMD, and evaluated change of BMD after postpartum initiation or restarting of osteoporosis drugs. Methods We retrospectively examined 30 SLE patients who gave birth and 31 non-pregnant SLE patients. In the postpartum SLE patients, BMD was measured after delivery and 1 year later. Multivariate analyses were performed to assess risk factors for decreased BMD in postpartum SLE patients. Results Patient age at pregnancy was 34.5 ± 4.5 years, and SLE duration was 9.7 ± 6.0 years. The mean prednisolone dose was 9.7 ± 3.2 mg/day. Body mass index (BMI) was 21.6 ± 2.2 kg/m2, with 13 women (43%) experiencing their first delivery. Postpartum BMD was 1.080 ± 0.120 g/cm2 in the lumbar spine and 0.834 ± 0.109 g/cm2 in the total hip. Bone loss occurred in six patients (21%) in the lumbar spine and 11 patients (37%) in the total hip. Postpartum lumbar spine BMD was significantly reduced compared to that in the non-pregnant group (1.143 ± 0.120 g/cm2, p = 0.048). Multivariate analysis identified gestational age and low BMI before pregnancy as risk factors for hip bone loss. Conclusion Postpartum BMD significantly decrease in SLE patients receiving long-term GC, and low BMI before pregnancy was a risk factor for the decrease. Preconception care to prevent osteoporosis and that regularly monitors BMD after delivery are needed.
Assessing the potential of a handheld visible-near infrared microspectrometer for sugar beet phenotyping
Authors: Gaci Belal , Mas Garcia Silvia , Abdelghafour Florent , Adrian Juliette , Maupas Fabienne , Roger Jean-Michel 
Published: April 2022

Phenotyping is essential in the process of varietal selection. In the case of sugar beets, richness (g/100g), that is, sugar content, is the key information. The need to acquire this information in a rapid, non-destructive and cheap manner leads the sugar industry to look for portable solutions that enable the suitable field measurements. In this work, a low-cost handheld and narrow visible-NIR spectral range microspectrometer is assessed for its ability to provide such information. During a two-year campaign from 2017 to 2018, a total of 649 samples of sugar beet were measured. The resulting data, along with the reference values for richness, were used to build a predictive model with partial least squares (PLS) regression. Acceptable performance in the estimation of richness from both 2017 data (SEP = 0.84 g/100 g) and 2018 data (SEP = 0.90 g/100 g) is achieved. This study also shows that updating the spectral database is possible by calibration transfer models. From the different tested transfer strategies, the combination of model update and slope-bias correction achieves the best performance, demonstrating that the use of 2017 model on different years is possible and only 75 new sugar beets are necessary to guarantee a richness error lower than 1.05 g/100 g. This work suggests that the molecular sensor could offer a useful tool for a rapid, low cost and non-destructive prediction of richness in sugar beets.
Rucaparib and olaparib for the treatment of prostate cancer: A clinician's guide to choice of therapy
Authors: Keisner Sidney Veach 
Published: April 2022

Objective This review will provide an overview of the use rucaparib and olaparib in patients with metastatic castration resistant prostate cancer (mCRPC) with the goal to assist the clinician's decision-making process when considering these agents for an individual patient. Data Sources Searches were conducted in PubMed, relevant meeting abstracts, clinicaltrials.gov, and United States Food and Drug Administration (FDA) documents to identify literature published through July 1, 2021, related to use of rucaparib and olaparib for treatment of prostate cancer. Data Summary In May 2020, the FDA approved rucaparib and olaparib for treatment of mCRPC that is homologous recombination repair (HRR)-deficient. Both agents are approved for previously-treated patients, but there are notable differences in strength of evidence, outcomes studied, required HRR alteration, and required prior therapies. In patients who qualify for therapy, additional factors that may help guide choice of PARP inhibitor include baseline organ function, drug interaction potential, toxicity profiles, and financial factors. Conclusions Rucaparib and olaparib have the potential to improve outcomes for patients with HRR-deficient mCRPC. Differences in strength of evidence and patient- and drug-specific characteristics will assist the clinician when choosing between agents.
A 5-year experience with midline catheters in the management of major head and neck surgery patients
Authors: Locatello Luca Giovanni , Saitta Thomas , Maggiore Giandomenico , Signorini Patrizia , Pinelli Fulvio , Adembri Chiara 
Published: April 2022

Background: In the perioperative management of major head and neck surgery (HNS) patients, the performance of midline catheters (MCs) has been never tested. We present here our 5-year experience by reporting MC-related complications and by identifying the preoperative risk factors associated with their development. Methods: Clinical variables were extracted and the dwell time, the number, and the type of postprocedural complications of MCs were retrieved. Complications were classified into major (needing MCs removal and including catheter-related bloodstream infection or deep vein thrombosis or catheter occlusion) and into minor (accidental dislodgement, leaking, etc.). Descriptive statistics and logistic regression models were used in order to identify the predictors of complications. Results: A total of 265 patients were included, with a mean age of 67.4 years. Intraprocedural complications occurred in 1.1% of cases, while postprocedural complications occurred in 13.9% of cases (12.05/1000 days), but they were minor in more than 7.0% (5.4/1000 catheter-days). There were 19 minor complications (7.1% or 5.4/1000 catheter-days) while 18 (7%, 5.1/1000 catheter-days) patients experienced at least one major complication. Female sex (OR = 1.963, 95% CI 1.017–3.792), insertion in the right arm (OR = 2.473, 95% CI 1.150–5.318), and an ACE-27 score >1 (OR = 2.573, 95% CI 1.295–5.110) were independent predictors of major complications. Conclusions: MCs appear to represent an effective option in the setting of major HNS. The identification of patients most at risk for MC-related complications should prompt a postoperative watchful evaluation.
Carotid Artery Stenting in Patients With Contralateral Carotid Occlusion Using a Combined Protection Method
Authors: Maeda Yuyo , Sakamoto Shigeyuki , Okazaki Takahito , Kuwabara Masashi 
Published: April 2022

Background and Purpose Carotid artery stenting has become widespread as a revascularization method and has increasingly replaced carotid endarterectomy for treating internal carotid artery stenosis with contralateral carotid occlusion. Hence, this study aimed to establish the clinical characteristics and perioperative outcomes of carotid artery stenting for internal carotid artery stenosis in patients with contralateral carotid occlusion using a combined protection method. Methods This retrospective single-center study assessed 218 patients with internal carotid artery stenosis who underwent carotid artery stenting using the dual protection (simultaneous flow reversal and distal filter) and blood aspiration method. We distinguished 2 patient groups: contralateral carotid occlusion (n = 11) and no contralateral carotid occlusion (n = 207). We evaluated the patients’ characteristics, intraoperative transient neurological symptoms, hypotension, bradycardia, major adverse events (major stroke, myocardial infarction, and death within 90 days), minor stroke, hyperintensities on diffusion-weighted images after carotid artery stenting, captured visible debris, and restenosis. Results In this cohort, 5% of patients with internal carotid artery stenosis had contralateral carotid occlusion. No statistically significant differences in patient characteristics existed between the groups. The success rate of carotid artery stenting was 100%. There were no statistically significant differences in intraoperative complications, postoperative major adverse events, or other outcomes between both groups. Conclusions In this cohort, carotid artery stenting using dual protection combined with blood aspiration was safe and effective in preventing distal embolism in patients with internal carotid artery stenosis and contralateral carotid occlusion.
Current status of spontaneous isolated celiac artery dissection
Authors: Xu Yingjiang , Bu Wenzhe , Han Xinqiang , Shen Yuguo , Wu Jian , Chen Gang 
Published: April 2022

Background This study aimed to evaluate the current status of spontaneous isolated celiac artery dissection (SICAD). Methods The English-language literature published in various databases before December 2020 was reviewed. All case reports and series were included. If multiple reports came from the same hospital and covered the same period, only the most recent report was considered. The clinical characteristics, imaging features, and treatment outcome were analyzed. Results The study enrolled 88 English language publications between January 1959 and December 2020, including 70 case reports, two case series, and 16 clinical studies. Overall, 316 cases of SICAD were reported in the studies, including 268 men and 44 women (unavailable for 4, men: women ratio: 6:1, p < 0.05). The median age was 50.5 years (range: 6–72) in men and 53.9 years (range: 41–67) in women. Most patients (83.54%, 264/316) complained about stomach pain, primarily in the epigastric region (38.61%, 122/316). The misdiagnosis rate in this study was 3.16% (10/316). The most commonly used imaging modality was computed tomography angiography (CTA), with 97.47% (308/316) cases reporting its use in diagnosis and/or management. The rate of symptom improvement with Conservative Management, with or without antithrombotic agents, was 92.45% (98/106) and 96.58% (141/146), respectively. The rate of symptom improvement after surgical recanalization was 100% (13/13). Moreover, endovascular management resulted in a 100% (50/50) symptom improvement rate. Conclusion Conservative management is the first-line treatment for SICAD. The surgical or endovascular intervention had a high technical success rate, suggesting that it should be reserved for patients who have failed conservative treatment.
A radiomics model for predicting the outcome of endovascular abdominal aortic aneurysm repair based on machine learning
Authors: Wang Yonggang , Zhou Min , Ding Yong , Li Xu , Zhou Zhenyu , Xie Tianchen , Shi Zhenyu , Fu Weiguo 
Published: April 2022

Objective This study aimed to develop a radiomics model to predict the outcome of endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA), based on machine learning (ML) algorithms. Methods We retrospectively reviewed 711 patients with infra-renal AAA who underwent elective EVAR procedures between January 2016 and December 2019 at our single center. The radiomics features of AAA were extracted using Pyradiomics. Pearson correlation analysis, analysis of variance (ANOVA), least absolute shrinkage, and selection operator (LASSO) regression were applied to determine the predictors for EVAR-related severe adverse events (SAEs). Eighty percent of patients were classified as the training set and the remaining 20 percent of patients were classified as the test set. The selected features were used to build a radiomics model in training set using different ML algorithms. The performance of each model was assessed using the area under the curve (AUC) from the receiver operating characteristic (ROC) curve in the test set. Results A total of 493 patients were enrolled in this study, the mean follow-up time was 32 months. During the follow-up, 156 (31.6%) patients experienced EVAR-related SAEs. A total of 1223 radiomics features were extracted from each patient, of which 30 radiomics features were finally identified. The quantitative performance assessment and the ROC curves indicated that the logistics regression (LR) model had better predictive value than others, with accuracy, 0.86; AUC, 0.93; and F1 score, 0.91. The Rad-score waterfall plot showed that the overall amount of error was small both in the training set and in the test set. Calibration curve showed that the calibration degree of the training set and the test set were good ( p > 0.05). Decision curve analysis (threshold 0.32) demonstrated that the model had good clinical applicability. Conclusion Our radiomics model could be used as an efficient and adjunctive tool to predict the outcome after EVAR.
Genomic and resistome analysis of Alcaligenes faecalis strain PGB1 by Nanopore MinION and Illumina Technologies
Authors: Lang Jidong , Li Yanju , Yang Wenjuan , Dong Ruyi , Liang Yuebin , Liu Jia , Chen Lanyou , Wang Weiwei , Ji Binbin , Tian Geng , Che Nanying , Meng Bo 
Published: April 2022

Abstract
Background
Drug-resistant bacteria are important carriers of antibiotic-resistant genes (ARGs). This fact is crucial for the development of precise clinical drug treatment strategies. Long-read sequencing platforms such as the Oxford Nanopore sequencer can improve genome assembly efficiency particularly when they are combined with short-read sequencing data.

Results
Alcaligenes faecalis PGB1 was isolated and identified with resistance to penicillin and three other antibiotics. After being sequenced by Nanopore MinION and Illumina sequencer, its entire genome was hybrid-assembled. One chromosome and one plasmid was assembled and annotated with 4,433 genes (including 91 RNA genes). Function annotation and comparison between strains were performed. A phylogenetic analysis revealed that it was closest to A. faecalis ZD02. Resistome related sequences was explored, including ARGs, Insert sequence, phage. Two plasmid aminoglycoside genes were determined to be acquired ARGs. The main ARG category was antibiotic efflux resistance and β-lactamase (EC 3.5.2.6) of PGB1 was assigned to Class A, Subclass A1b, and Cluster LSBL3.

Conclusions
The present study identified the newly isolated bacterium A. faecalis PGB1 and systematically annotated its genome sequence and ARGs.
Genome sequencing of Inonotus obliquus reveals insights into candidate genes involved in secondary metabolite biosynthesis
Authors: Duan Yingce , Han Haiyan , Qi Jianzhao , Gao Jin-ming , Xu Zhichao , Wang Pengchao , Zhang Jie , Liu Chengwei 
Published: April 2022

Abstract
Background
Inonotus obliquus is an important edible and medicinal mushroom that was shown to have many pharmacological activities in preclinical trials, including anti-inflammatory, antitumor, immunomodulatory, and antioxidant effects. However, the biosynthesis of these pharmacological components has rarely been reported. The lack of genomic information has hindered further molecular characterization of this mushroom.

Results
In this study, we report the genome of I. obliquus using a combined high-throughput Illumina NovaSeq with Oxford Nanopore PromethION sequencing platform. The de novo assembled 38.18 Mb I. obliquus genome was determined to harbor 12,525 predicted protein-coding genes, with 81.83% of them having detectable sequence similarities to others available in public databases. Phylogenetic analysis revealed the close evolutionary relationship of I. obliquus with Fomitiporia mediterranea and Sanghuangporus baumii in the Hymenochaetales clade. According to the distribution of reproduction-related genes, we predict that this mushroom possesses a tetrapolar heterothallic reproductive system. The I. obliquus genome was found to encode a repertoire of enzymes involved in carbohydrate metabolism, along with 135 cytochrome P450 proteins. The genome annotation revealed genes encoding key enzymes responsible for secondary metabolite biosynthesis, such as polysaccharides, polyketides, and terpenoids. Among them, we found four polyketide synthases and 20 sesquiterpenoid synthases belonging to four more types of cyclization mechanism, as well as 13 putative biosynthesis gene clusters involved in terpenoid synthesis in I. obliquus.

Conclusions
To the best of our knowledge, this is the first reported genome of I. obliquus; we discussed its genome characteristics and functional annotations in detail and predicted secondary metabolic biosynthesis-related genes, which provides genomic information for future studies on its associated molecular mechanism.
Molecular and metabolic traits of some Egyptian species of Cassia L. and Senna Mill (Fabaceae-Caesalpinioideae)
Authors: Eldemerdash Marwa M. , El-Sayed Ashraf S. A. , Hussein Hussein A. , Teleb Samir S. , Shehata Rania S. 
Published: April 2022

AbstractThe genus Cassia and Senna have been classified under subfamily Caesalpinioideae of family Fabaceae (Leguminosae) of order Fabales. There is a scarce taxonomical studies of the genus Cassia and Senna inhabiting Egyptian environments, thus, the main objective of the current was to revise and authenticate the phylogenetic relationship between studied taxa of the species of the genera Cassia and Senna in Egypt using the recent tools of ITS barcoding, RAPD analysis and metabolic profiling, in comparing to the traditional taxonomical features. From the cluster analysis of the traditional 27 morphological characters, the studied taxa were categorized into two major clades with an average taxonomic distance of 4.3. The clade I include Cassia fistula, C. renigera, C. javanica L subsp. nodosa and C. roughiia that belongs to series Obolospermae, and C. grandis that belongs to series Grandes. The clade (II) includes Senna surattensis and S. alata at taxonomic level 3.6. The taxonomical description of the studied taxa was confirmed from the molecular analysis of ITS sequences and RAPD analysis. The ITS sequences of the tested plants species C. fistula L, C. grandis MD4, C. javanica subsp. nodosa MD7, C. roxburghii MD5, C. renigera MD5 were deposited at genbank with accession numbers MW367973, MZ960447, MW386305, MW326753 and MW32685, respectively. While, the ITS sequences of the S. surrattensis and S. alata were deposited into genbank accession # MD14 MW367670 and MD20 MW412635, respectively. Thus, from the molecular analysis, two clades were clearly separated into Clade I of Cassia and Clade II of Senna. The cluster I represented by C. fistula, C. renigera, C. roxburghii, and C. javanica sub nodosa, and the cluster II represented by S. alata and S. surattensis. From the PCA of RAPD, a clearly discrimination between the two Taxa was observed revealing the characteristic grouping of Cassia and Senna. The species Senna alata and Senna surattensis were grouped together, but the species of C. renigera, C. javanica, C. roxburghii and C. grandis was grouped on a distinct group. The separation of Cassia and Senna species into two clusters verify the segregation of the genus Cassia L. senso lato into two distinct genera namely Senna P. and Cassia L. The morphological, molecular traits of the studied plants were authenticated from the metabolic profiling by GC-MS analysis. Among the 23 identified metabolites, four compounds namely hexadecanoic acid, methyl ester, 9-Octadecenoic acid (Z)-ethyl ester and Vitamin E were detected with fluctuated concentrations, among C. fistula, C. grandis, C. javanica subsp. nodosa and C. roxburghii. Conclusively, the traditional morphological features, molecular barcoding using ITS sequences, RAPD analysis and metabolic traits by GC-MS analysis, authenticates the taxonomical diversity of the genus Cassia and Senna.
Data-driven prediction of COVID-19 cases in Germany for decision making
Authors: Refisch Lukas , Lorenz Fabian , Riedlinger Torsten , Taubenböck Hannes , Fischer Martina , Grabenhenrich Linus , Wolkewitz Martin , Binder Harald , Kreutz Clemens 
Published: April 2022

Abstract
Background
The COVID-19 pandemic has led to a high interest in mathematical models describing and predicting the diverse aspects and implications of the virus outbreak. Model results represent an important part of the information base for the decision process on different administrative levels. The Robert-Koch-Institute (RKI) initiated a project whose main goal is to predict COVID-19-specific occupation of beds in intensive care units: Steuerungs-Prognose von Intensivmedizinischen COVID-19 Kapazitäten (SPoCK). The incidence of COVID-19 cases is a crucial predictor for this occupation.

Methods
We developed a model based on ordinary differential equations for the COVID-19 spread with a time-dependent infection rate described by a spline. Furthermore, the model explicitly accounts for weekday-specific reporting and adjusts for reporting delay. The model is calibrated in a purely data-driven manner by a maximum likelihood approach. Uncertainties are evaluated using the profile likelihood method. The uncertainty about the appropriate modeling assumptions can be accounted for by including and merging results of different modelling approaches. The analysis uses data from Germany describing the COVID-19 spread from early 2020 until March 31st, 2021.

Results
The model is calibrated based on incident cases on a daily basis and provides daily predictions of incident COVID-19 cases for the upcoming three weeks including uncertainty estimates for Germany and its subregions. Derived quantities such as cumulative counts and 7-day incidences with corresponding uncertainties can be computed. The estimation of the time-dependent infection rate leads to an estimated reproduction factor that is oscillating around one. Data-driven estimation of the dark figure purely from incident cases is not feasible.

Conclusions
We successfully implemented a procedure to forecast near future COVID-19 incidences for diverse subregions in Germany which are made available to various decision makers via an interactive web application. Results of the incidence modeling are also used as a predictor for forecasting the need of intensive care units.
Comparison of generic and specific instruments to assess the quality of life in patients with melasma
Authors: Meneguin Silmara , Mourão Ioana Bitencourt , Pollo Camila Fernandes , Miot Helio Amante , Garuzi Miriane , de Oliveira Cesar 
Published: April 2022

Abstract
Objective
To compare the psychometric performance of a generic and specific instruments in assessing melasma-related quality of life.

Methods
A cross-sectional study was conducted with 150 patients with melasma attending an outpatient dermatology clinic of a public hospital in São Paulo state, Brazil. Data were collected using a questionnaire containing sociodemographic and clinical data as well as the generic WHOQOL-BREF, and the dermatological-specific Skindex-16 and HRQ-Melasma.

Results
The overall internal consistency of the domains of the three instruments was ≥ 0.7. A strong positive correlation was identified between the Skindex-16 and HRQ-Melasma domains (0.68-0.78). Item-response theory showed that most Skindex-16 and HRQ-Melasma domains were more informative than WHOQOL-BREF.

Conclusion
The three instruments for assessing QOL tested presented good psychometric performance, with satisfactory internal consistency values. Only the two dermatological instruments, however, demonstrated a strong correlation between the domains that assess social, emotional, and functional aspects of QOL, indicating that both were able to identify impairments in other QOL dimensions in addition to the physical domain.