bluuebunny/crossref_metadata_2025_split huggingface dataset:
A predictive scoring system for proximal junctional kyphosis after posterior internal fixation in elderly patients with chronic osteoporotic vertebral fracture: A single-center diagnostic study
Authors: Du Xing , Jiang Guanyin , Zhu Yong , Luo Wei , Ou Yunsheng 
Published: July 2022

ObjectiveTo establish a predictive scoring system for proximal junctional kyphosis (PJK) after posterior internal fixation in elderly patients with chronic osteoporotic vertebral fracture (COVF).Materials and methodsThe medical records of 88 patients who were diagnosed with COVF and underwent posterior internal fixation in our hospital from January 2013 to December 2017 were retrospectively analyzed. The included patients were divided into two groups according to whether they suffered PJK after surgery, namely, the PJK group (25 cases) and non-PJK group (63 cases). The following clinical characteristics were recorded and analyzed: age, gender, body mass index (BMI), bone mineral density (BMD), smoking history, fracture segment, proximal junction angle, sagittal vertebral axis, pelvic incidence (PI)–lumbar lordosis (LL), pelvic tilt (PT), sacral slope (SS), posterior ligamentous complex (PLC) injury, upper instrumented vertebra, lower instrumented vertebra, and the number of fixed segments. The prevalence of these clinical characteristics in the PJK group was evaluated, and the scoring system was established using logistic regression analysis. The performance of the scoring system was also prospectively validated.ResultsThe predictive scoring system was established based on five clinical characteristics confirmed as significant predictors of PJK, namely, age &gt; 70 years, BMI &gt; 28 kg/m2, BMD &lt; −3.5 SD, preoperative PI-LL &gt; 20°, and PLC injury. PJK showed a significantly higher score than non-PJK (7.80 points vs. 2.83 points, t=9.556, P&lt;0.001), and the optimal cutoff value for the scoring system was 5 points. The sensitivity and specificity of the scoring system for predicting postoperative PJK were 80.00% and 88.89%, respectively, in the derivation set and 75.00% and 80.00% in the validation set.ConclusionThe predictive scoring system was confirmed with satisfactory sensitivity and specificity in predicting PJK after posterior internal fixation in elderly COVF patients. The risk of postoperative PJK in patients with a score of 6–11 is high, while the score of 0–5 is low.
An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study
Authors: Han Yong , Xu Huiyu , Feng Guoshuang , Wang Haiyan , Alpadi Kannan , Chen Lixue , Zhang Mengqian , Li Rong 
Published: July 2022

PurposeTo establish a more convenient ovarian reserve model with anti-Müllerian hormone (AMH) level and age (the AA model), with blood samples taken at any time in the menstrual cycle.MethodsWe have established this AA model for predicting ovarian reserve using the AMH level and age. The outcome variable was defined as poor ovarian response (POR) with &lt;5 oocytes retrieved during assisted reproductive technology treatment cycles. Least Absolute Shrinkage and Selection Operator logistic regression with 5-fold cross validation methods was applied to construct the model, and that with the lowest scaled log-likelihood was selected as the final one.ResultsThe areas under the receiver operating characteristic curve for the training, inner, and external validation sets were 0.862, 0.843, and 0.854 respectively. The main effects of AMH level and age contributing to the prediction of POR were 95.3% and 1.8%, respectively. The incidences of POR increased with its predicted probability in both the model building and in external validation datasets, indicating its stability. An online website-based tool for assessing the score of ovarian reserve (http://121.43.113.123:9999) has been developed.ConclusionsBased on external validation data, the AA model performed well in predicting POR, and was more cost-effective and convenient than our previous published models.
Ciliates in man-made mountain reservoirs
Authors: Sommer Fabian , Sonntag Bettina , Rastl Nikolai , Summerer Monika , Tartarotti Barbara 
Published: July 2022

Climate warming has multiple effects on an environment. Especially the Alpine region is affected by changing conditions, which do not only have ecological but also economic impacts in respect to winter sports tourism. Due to higher environmental temperatures and less precipitation, artificial snow making is becoming increasingly important and consequently, mountain reservoirs for water storage are built. In these systems, planktonic communities are not only influenced by the naturally harsh environmental conditions of the alpine region, but also by severe changes in water level fluctuations due to water withdrawal and re-filling within short time periods. Information on planktonic communities and species traits in such man-made water bodies is nonexistent. Here, we focused on ciliates, a group of unicellular protists known to adapt and respond rapidly to changing environmental conditions. Simultaneously, we identified abiotic and other biotic factors that shaped these microbial communities. We investigated the species composition, abundance and species traits of ciliates in eleven mountain reservoirs in the Tyrolean Alps, Austria, and hypothesized that these communities differed significantly from natural ones. The mountain reservoirs were investigated twice during the ice-free season and water chemistry, chlorophyll a, bacteria, zooplankton, and ciliates were sampled. We detected 48 ciliate taxa in total, with an average of five taxa per mountain reservoir. A wide range of abundance (summer: 24 to &gt;15,600 Ind L−1; autumn: 38 to ∼7,500 Ind L−1) and no clear pattern in the community composition was found, most likely due to water level fluctuations and the source of water used for filling the mountain reservoirs. The ciliate abundance was significantly affected by pH, nutrients, but also water transparency and potential predators (crustaceans). Planktonic ciliates dominated the mountain reservoirs and, surprisingly, mixotrophic species, typically found in natural (alpine) lakes, were only rarely observed. Our data suggest that in these fast-changing systems, local factors seem to be more important than regional ones.
Soil Organic Carbon Pool and the Production of Goji Berry (Lycium barbarum L.) as Affected by Different Fertilizer Combinations Under Drip Fertigation
Authors: Wang Fang , Li Wenhui , Lin Yanmin , Nan Xiongxiong , Yuan Jingjing 
Published: July 2022

Goji berries (Lycium barbarum L.), widely planted in arid to semi-arid regions, are a functional resource characterized by a homology of medicine and food. Changing extensive water and fertilizer management practices to drip fertigation is one of the most cost-effective ways to achieve the sustainable development of the Goji berry industry. This study explores the effects of different fertilizer combinations on the soil organic carbon pool and L. barbarum yield under drip fertigation in Ningxia, northwestern China. A two-year field experiment (2017–2019) was conducted using different levels of drip nitrogen (40, 60, and 80 mg L−1) and phosphorus (10, 20, and 30 mg L−1) fertigation. Compared with traditional manual fertilization (control), soil organic carbon contents in the 0–20, 20–40, and 40–60 cm layers increased by 33.6–144.4, 39.6–136.8, and 14.0–73.6%, respectively, across all fertigation treatments. With increasing levels of fertigation, the easily oxidizable organic carbon content increased most prominently in the 0–20 cm soil layer and reached the highest value (538 mg kg−1) under treatment with 60 mg L−1 nitrogen plus 10 mg L−1 phosphorus. The microbial biomass carbon contents in the 20–60 cm soil layer was markedly higher under treatment with 60 mg L−1 nitrogen plus 30 mg L−1 phosphorus compared with other treatments. Fertigation increased the soil carbon pool management index and L. barbarum yield. The highest two-year average yield (13,890 kg ha−1) was obtained under treatment with 60 mg L−1 nitrogen plus 30 mg L−1 phosphorus. These findings suggest that drip fertigation with 60 mg L−1 nitrogen plus 30 mg L−1 phosphorus is the optimal practice for carbon sequestration and sustainable production of L. barbarum in arid regions.
Effectiveness and Waning of Protection With Different SARS-CoV-2 Primary and Booster Vaccines During the Delta Pandemic Wave in 2021 in Hungary (HUN-VE 3 Study)
Authors: Vokó Zoltán , Kiss Zoltán , Surján György , Surján Orsolya , Barcza Zsófia , Wittmann István , Molnár Gergő Attila , Nagy Dávid , Müller Veronika , Bogos Krisztina , Nagy Péter , Kenessey István , Wéber András , Polivka Lőrinc , Pálosi Mihály , Szlávik János , Rokszin György , Müller Cecília , Szekanecz Zoltán , Kásler Miklós 
Published: July 2022

BackgroundIn late 2021, the pandemic wave was dominated by the Delta SARS-CoV-2 variant in Hungary. Booster vaccines were offered for the vulnerable population starting from August 2021.MethodsThe nationwide HUN-VE 3 study examined the effectiveness and durability of primary immunization and single booster vaccinations in the prevention of SARS-CoV-2 infection, Covid-19 related hospitalization and mortality during the Delta wave, compared to an unvaccinated control population without prior SARS-CoV-2 infection.ResultsThe study population included 8,087,988 individuals who were 18–100 years old at the beginning of the pandemic. During the Delta wave, after adjusting for age, sex, calendar day, and chronic diseases, vaccine effectiveness (VE) of primary vaccination against registered SARS-CoV-2 infection was between 11% to 77% and 18% to 79% 14–120 days after primary immunization in the 16–64 and 65–100 years age cohort respectively, while it decreased to close to zero in the younger age group and around 40% or somewhat less in the elderly after 6 months for almost all vaccine types. In the population aged 65–100 years, we found high, 88.1%–92.5% adjusted effectiveness against Covid-19 infection after the Pfizer-BioNTech, and 92.2%–95.6% after the Moderna booster dose, while Sinopharm and Janssen booster doses provided 26.5%–75.3% and 72.9%–100.0% adjusted VE, respectively. Adjusted VE against Covid-19 related hospitalization was high within 14–120 days for Pfizer-BioNTech: 76.6%, Moderna: 83.8%, Sputnik-V: 78.3%, AstraZeneca: 73.8%, while modest for Sinopharm: 45.7% and Janssen: 26.4%. The waning of protection against Covid-19 related hospitalization was modest and booster vaccination with mRNA vaccines or the Janssen vaccine increased adjusted VE up to almost 100%, while the Sinopharm booster dose proved to be less effective. VE against Covid-19 related death after primary immunization was high or moderate: for Pfizer-BioNTech: 81.5%, Moderna: 93.2%, Sputnik-V: 100.0%, AstraZeneca: 84.8%, Sinopharm: 58.6%, Janssen: 53.3%). VE against this outcome also showed a moderate decline over time, while booster vaccine types restored effectiveness up to almost 100%, except for the Sinopharm booster.ConclusionsThe HUN-VE 3 study demonstrated waning VE with all vaccine types for all examined outcomes during the Delta wave and confirmed the outstanding benefit of booster vaccination with the mRNA or Janssen vaccines, and this is the first study to provide clear and comparable effectiveness results for six different vaccine types after primary immunization against severe during the Delta pandemic wave.
Orange Chromide, Pseudetroplus maculatus (Bloch., 1795): A Potential Euryhaline Fish Model to Evaluate Climate Change Adaptations in Fishes
Authors: Padinhate Purayil Suresh Babu , Thomas Shilta M. , Anirudhan Anuraj , Sidhick Jeena Nikarthil , Kandiyil Asokan Pillaru , Ebeneezar Sanal , Ignatius Boby , Achamveetil Gopalakrishnan 
Published: July 2022

Orange chromide, Pseudetroplus maculatus is a euryhaline species with both ornamental and food value. The species has several attributes similar to other fish model organisms such as smaller size, repeated breeding, ease of maintenance, and higher fecundity. A salinity tolerance study was performed in different salinities (0, 15, and 35 ppt) in triplicate introducing 10 fishes each (5.4 ± 0.08 g) in 12 plastic tanks of 60 L water-holding capacity. Fish were fed with commercial feed (1.2 mm and 40% protein) at 5% of body weight twice daily for 45 days. No significant variation (p&lt; 0.05) in growth and survival was observed during the study indicating the wide salinity tolerance for the species. Experimental breeding of the species in freshwater and seawater (35 ppt) revealed the ability of the species to breed in varying salinities. Lenience in captive broodstock development, pair formation, and year-round natural breeding makes the seed production of the species easier. Characteristics such as multiple spawnings, a prolonged incubation period (48 to 72 hours) useful for elaborative embryonic studies, shorter larval development cycle (25 to 30 days), and better acceptance of live feed (Artemia nauplii and flakes) and commercial feed by the larvae make the species a potential euryhaline ornamental fish model to assess the physiological changes at different salinities. Minimal input requirements and lower capital and operational investments for the seed production of the species make it an ideal model organism for studying the impact of climatic and environmental changes on fish farming in different habitats.
A systematic review protocol for assessing equity in clinical practice guidelines for traumatic brain injury and homelessness
Authors: Chan Vincy , Estrella Maria Jennifer , Babineau Jessica , Colantonio Angela 
Published: July 2022

BackgroundWhen used optimally, clinical practice guidelines (CPGs) can reduce inappropriate variations in practice, improve application of research to practice, and enhance the quality of healthcare. However, a common criticism, despite its potential, is the lack of consideration for equity and disadvantaged populations.ObjectivesThis protocol is for a systematic review of CPGs for traumatic brain injury (TBI) and homelessness that aims to assess (1) the extent to which evidence regarding TBI and homelessness is integrated in CPGs for homelessness and TBI, respectively, and (2) equity considerations in CPGs for TBI and homelessness.Methods and analysisThe methodology for this review is guided by the PRISMA-P, validated search filters for CPGs, and methodological guides to searching systematic reviews and gray literature. CPGs will be identified from (a) databases for peer-reviewed literature (MEDLINE, Embase, CINAHL, and PsycInfo), (b) targeted websites and Google Search for gray literature, and (c) reference lists of peer-reviewed and gray literature that meet the eligibility criteria. Searching for gray literature, including from guideline-specific resources, is a critical component of this review and is considered an efficient approach to identifying CPGs, given the low precision of searching peer-reviewed databases. Two independent reviewers will screen all articles based on pre-determined eligibility criteria. A narrative synthesis will be conducted to identify the proportion of CPGs that integrate evidence about TBI and homelessness and how TBI and homelessness is or is not integrated in CPGs. Quality appraisal will take the form of an equity assessment of CPGs and will be completed independently by two reviewers.ConclusionThis protocol outlines the methodology for a systematic review of CPGs for TBI and homelessness. The resulting systematic review from this protocol will form an evidence-based foundation to advance CPGs for individuals with lived experience of TBI and homelessness.Systematic review registrationidentifier: CRD42021287696.
Anomalous systemic arterial supply to the left lower lung lobe: A case report
Authors: Wu Zhuo , Xu Baoning , Zhou Di , Yang Xueying 
Published: July 2022

BackgroundAn anomalous systemic arterial supply to the lung lobes is a rare congenital pulmonary vascular malformation. Current treatments include thoracoscopic lobectomy, anatomical segmentectomy, simple ligation and arterial embolization. However, the optimal treatment remains controversial.Case presentationA 29-year-old man was diagnosed with anomalous systemic arterial supply to the left lower lobe through contrast-enhanced computed tomography and three-dimensional reconstruction. He underwent coil embolization of the anomalous artery and was followed up for 1 year.ConclusionsBlockage of the blood flow of the anomalous systemic artery alone does not improve the blood supply of the pulmonary artery to lung tissue and thus cannot restore normal gas exchange through the blood-gas barrier. Coil embolization of the anomalous arterial supply can cause early postoperative pulmonary infarction.
Retinal and choroidal microvascular alterations in Behcet’s disease without ocular manifestations: A systematic review and meta-analysis
Authors: Fan Shipei , Shi Xingyu , Chen Zhen , Li Xia , Yu Songping , Li Jun 
Published: July 2022

PurposeWe performed a systematic review and meta-analysis to examine the microvascular alterations in non-ocular Behcet’s disease (BD) using optical coherence tomography angiography (OCTA).MethodsA comprehensive search was performed in Pubmed, Embase and Cochrane databases for eligible studies from inception to February 2022. Detailed clinical demographics were extracted from each study by two independent reviewers. The weighted mean difference (WMD) and 95% confidence intervals (CI) were used to compare the OCTA parameters between non-ocular BD and healthy controls. Stata 12.0 was adopted to conduct statistical analyses.ResultsTen cross-sectional studies involving 386 eyes in non-ocular BD and 418 eyes in healthy volunteers were ultimately included in the present analysis. When considering superficial capillary plexus (SCP) and deep capillary plexus (DCP), no significant differences of vessel densities in the whole enface image, fovea and perifovea were evaluated between two groups. Significantly reduced parafoveal vessel density of SCP was observed in non-ocular BD in comparison with healthy group (WMD = −1.33, 95%CI: −1.78, −0.89; I2 = 0.6%), while slightly decreased parafoveal vessel density was assessed in DCP (WMD = −1.47, 95%CI: −3.30, 0.35; I2 = 89.3%). Significantly increasing foveal avascular zone (FAZ) area was observed in non-ocular BD when compared to healthy controls (WMD = 0.11, 95%CI: 0.03, 0.19; I2 = 95.3%). There was no significant difference in flow area of choriocapillaris between non-ocular BD and control group (WMD = 0.06, 95%CI: −0.19, 0.32; I2 = 0%).ConclusionBased on current analysis, our results demonstrated significantly lower parafoveal vessel density of SCP and lager FAZ area in full vasculature in non-ocular BD. The retinal microvascular alterations appear before the emergence of ocular manifestations.Systematic Trial Registration[https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42021244856].
Severity and prognostic factors of SARS-CoV-2-induced pneumonia: The value of clinical and laboratory biomarkers and the A-DROP score
Authors: Szabó Miklós , Kardos Zsófia , Oláh Csaba , Tamáska Péter , Hodosi Katalin , Csánky Eszter , Szekanecz Zoltán 
Published: July 2022

IntroductionNumerous clinical and laboratory scores that include C-reactive protein (CRP), D-dimer, ferritin, lactate dehydrogenase (LDH), interleukin 6 (IL-6), procalcitonin (PCT), blood urea nitrogen (BUN), creatinine levels and oxygenation (PaO2 and SaO2) have been used for the prognosis of COVID-19. In addition, composite scores have been developed for the assessment of general state and risk in community-acquired pneumonia (CAP) that may be applied for COVID-19 as well. In this study, we assessed severity and potential prognostic risk factors for unfavorable outcome among hospitalized COVID-19 patients. We also applied the A-DROP general scoring system used in CAP to COVID-19.Patients and methodsAltogether 233 patients admitted to our center with COVID-19 were included in the study. Clinical status, several laboratory biomarkers described above, indicators of oxygenation were determined at hospital admission. We also applied the A-DROP composite scoring system that includes Age (≥ 70 years in males and ≥ 75 years in females), Dehydration (BUN ≥ 7.5 mmol/l), Respiratory failure (SaO2 ≤ 90% or PaO2 ≤ 60 mmHg), Orientation disturbance (confusion) and low blood Pressure (systolic BP ≤ 90 mmHg) to COVID-19.ResultsAt the time of admission, most patients had elevated CRP, LDH, ferritin, D-dimer, and IL-6 levels indicating multisystemic inflammatory syndrome (MIS). Altogether 49 patients (21.2%) required admission to ICU, 46 (19.7%) needed ventilation and 40 patients (17.2%) died. In the binary analysis, admission to ICU, the need for ventilation and death were all significantly associated with the duration of hospitalization, history of hypertension or obesity, confusion/dizziness, as well as higher absolute leukocyte and neutrophil and lower lymphocyte counts, elevated CRP, PCT, LDH, ferritin, IL-6, BUN, and creatinine levels, low PaO2 and SaO2 and higher A-DROP score at the time of admission (p &lt; 0.05).ConclusionNumerous laboratory biomarkers in addition to obesity, dizziness at the time of admission and the history of hypertension may predict the need for ICU admission and ventilation, as well as mortality in COVID-19. Moreover, A-DROP may be a suitable scoring system for the assessment of general health and disease outcome in COVID-19.
Graph Properties of Mass-Difference Networks for Profiling and Discrimination in Untargeted Metabolomics
Authors: Traquete Francisco , Luz João , Cordeiro Carlos , Sousa Silva Marta , Ferreira António E. N. 
Published: July 2022

Untargeted metabolomics seeks to identify and quantify most metabolites in a biological system. In general, metabolomics results are represented by numerical matrices containing data that represent the intensities of the detected variables. These matrices are subsequently analyzed by methods that seek to extract significant biological information from the data. In mass spectrometry-based metabolomics, if mass is detected with sufficient accuracy, below 1 ppm, it is possible to derive mass-difference networks, which have spectral features as nodes and chemical changes as edges. These networks have previously been used as means to assist formula annotation and to rank the importance of chemical transformations. In this work, we propose a novel role for such networks in untargeted metabolomics data analysis: we demonstrate that their properties as graphs can also be used as signatures for metabolic profiling and class discrimination. For several benchmark examples, we computed six graph properties and we found that the degree profile was consistently the property that allowed for the best performance of several clustering and classification methods, reaching levels that are competitive with the performance using intensity data matrices and traditional pretreatment procedures. Furthermore, we propose two new metrics for the ranking of chemical transformations derived from network properties, which can be applied to sample comparison or clustering. These metrics illustrate how the graph properties of mass-difference networks can highlight the aspects of the information contained in data that are complementary to the information extracted from intensity-based data analysis.