bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diversity and population structure of Nordic potato cultivars and breeding clones
Authors: Selga Catja , Chrominski Pawel , Carlson-Nilsson Ulrika , Andersson Mariette , Chawade Aakash , Ortiz Rodomiro 
Published: July 2022

Abstract
Background
The genetic diversity and population structure of breeding germplasm is central knowledge for crop improvement. To gain insight into the genetic potential of the germplasm used for potato breeding in a Nordic breeding program as well as all available accessions from the Nordic genebank (NordGen), 133 potato genotypes were genotyped using the Infinium Illumina 20 K SNP array. After SNP filtering, 11 610 polymorphic SNPs were included in the analysis. In addition, data from three important breeding traits – percent dry matter and uniformity of tuber shape and eye – were scored to measure the variation potato cultivars and breeding clones.

Results
The genetic diversity among the genotypes was estimated using principal coordinate analysis based on the genetic distance between individuals, as well as by using the software STRUCTURE. Both methods suggest that the collected breeding material and the germplasm from the gene-bank are closely related, with a low degree of population structure between the groups. The phenotypic distribution among the genotypes revealed significant differences, especially between farmer’s cultivars and released cultivars and breeding clones. The percent heterozygosity was similar between the groups, with a mean average of 58–60%. Overall, the breeding germplasm and the accessions from the Nordic genebank seems to be closely related with similar genetic background.

Conclusion
The genetic potential of available Nordic potato breeding germplasm is low, and for genetic hybridization purposes, genotypes from outside the Nordic region should be employed.
Management of disseminated intravascular coagulation after thoracic endovascular aortic repair of type B aortic dissection: a case report
Authors: Liu Hanbo , Liu Yi , Lai Jifu 
Published: July 2022

Abstract
Background
Disseminated intravascular coagulation (DIC) is a critical and rare complication after thoracic endovascular aortic repair (TEVAR) of type B aortic dissection. The optimal treatment of aortic dissection-related DIC remains controversial.

Case presentation
We herein describe the successful management of a 65-year-old man who presented with gingival bleeding and multiple subcutaneous petechiae and was proven to have DIC after TEVAR of aortic dissection. The patient had initially been discharged with improved laboratory tests after anticoagulation treatment followed by oral rivaroxaban for maintenance. However, he was readmitted with recurrent gingival bleeding 17 days later. The DIC was successfully controlled with a combination of anticoagulation and antifibrinolytics. After the patient was discharged, his treatment was switched to oral tranexamic acid and warfarin for maintenance. During a 15-month follow-up, the patient had no recurrence of hemorrhage symptoms and maintained stable coagulative and fibrinolytic parameters.

Conclusions
Aortic dissection-related DIC requires long-term management under conservative treatment. The combination of warfarin and tranexamic acid may be a feasible method for long-term maintenance therapy.
Analysis of injuries and deaths from road traffic accidents in Iran: bivariate regression approach
Authors: Shahsavari Soodeh , Mohammadi Ali , Mostafaei Shayan , Zereshki Ehsan , Tabatabaei Seyyed Mohammad , Zhaleh Mohsen , Shahsavari Meisam , Zeini Frouzan 
Published: July 2022

Abstract
Backgrounds
This study aims to estimate and compare the parameters of some univariate and bivariate count models to identify the factors affecting the number of mortality and the number of injured in road accidents.

Methods
The accident data used in this study are related to Kermanshah province in march2020 to march2021. Accidents areas were divided into 125 areas based on density characteristics. In a one-year period, 3090 accidents happened on the suburban roads of Kermanshah province, which resulted in 398 deaths and 4805 injuries. Accident information, including longitude and latitude of accident location, type of accident (fatal and injury), number of deaths, number of injuries, accident type, the reason of the accident, and the kind of accident were all included as population-level variables in the regression models. We investigated four frequently used bivariate count regression models for accident data in the literature.

Results
In bivariate analysis, except for the DNM model, there is a reasonable decrease in the AIC measures of the saturated model compared to the reduced model for the other three models. For the injury models, MSE is lowest, respectively for DIBP (137.87), BNB (289.46), BP (412.36) and DNM (3640.89) models. These results are also established for death models. But, in univariate analysis, only injury models almost present reasonable results.

Conclusions
Our findings show that the IDBP model is better suitable for evaluating accident datasets than other models. Motorcycle accidents, pedestrian accidents, left turn deviance, and dangerous speeding were all significant variables in the IDBP death model, and these parameters were linked to accident mortality.
Sentinel fall presenting to the emergency department (SeFallED) – protocol of a complex study including long-term observation of functional trajectories after a fall, exploration of specific fall risk factors, and patients’ views on falls prevention
Authors: Stuckenschneider Tim , Koschate Jessica , Dunker Ellen , Reeck Nadja , Hackbarth Michel , Hellmers Sandra , Kwiecien Robert , Lau Sandra , Levke Brütt Anna , Hein Andreas , Zieschang Tania 
Published: July 2022

Abstract
Background
Falls are a leading cause for emergency department (ED) visits in older adults. As a fall is associated with a high risk of functional decline and further falls and many falls do not receive medical attention, the ED is ideal to initiate secondary prevention, an opportunity generally not taken. Data on trajectories to identify patients, who would profit the most form early intervention and to examine the impact of a fall event, are lacking. To tailor interventions to the individual’s needs and preferences, and to address the whole scope of fall risks, we developed this longitudinal study using an extensive assessment battery including dynamic balance and aerobic fitness, but also sensor-based data. Additionally, participative research will contribute valuable qualitative data, and machine learning will be used to identify trips, slips, and falls in sensor data during daily life.

Methods
This is a mixed-methods study consisting of four parts: (1) an observational prospective study, (2) a randomized controlled trial (RCT) to explore whether a diagnostic to measure reactive dynamic balance influences fall risk, (3) machine learning approaches and (4) a qualitative study to explore patients’ and their caregivers’ views. We will target a sample size of 450 adults of 60 years and older, who presented to the ED of the Klinikum Oldenburg after a fall and are not hospitalized. The participants will be followed up over 24 months (within four weeks after the ED, after 6, 12 and 24 months). We will assess functional abilities, fall risk factors, participation, quality of life, falls incidence, and physical activity using validated instruments, including sensor-data. Additionally, two thirds of the patients will undergo intensive testing in the gait laboratory and 72 participants will partake in focus group interviews.

Discussion
The results of the SeFallED study will be used to identify risk factors with high predictive value for functional outcome after a sentinel fall. This will help to (1) establish a protocol adapted to the situation in the ED to identify patients at risk and (2) to initiate an appropriate care pathway, which will be developed based on the results of this study.

Trial registration
DRKS (Deutsches Register für klinische Studien, DRKS00025949). Prospectively registered on 4th November, 2021.
The German version of the Mini Suffering State Examination (MSSE) for people with advanced dementia living in nursing homes
Authors: Zumstein Naomi , Yamada Keiko , Eicher Stefanie , Theill Nathan , Geschwindner Heike , Wolf Henrike , Riese Florian 
Published: July 2022

Abstract
Background
The Mini Suffering State Examination (MSSE) has been explicitly recommended to assess suffering in dementia patients. This study aimed to develop a German version of the MSSE and assess its psychometric properties involving people with advanced dementia (PAD) in a nursing home setting.

Methods
The MSSE was translated into German, and 95 primary nurses administered it cross-sectionally to 124 PAD in Zurich, Switzerland. The psychometric properties of the German MSSE version were calculated for this population.

Results
The mean age of the PAD was 83.3 years (SD = 9.1, range = 55–102 years), and 98 of them (79.0%) were women. The Kuder-Richardson Formula 20 coefficient for the entire scale (0.58), the eight items relating to objective health conditions (0.39), and the professional and family estimation of the patient’s suffering (0.64) indicated low internal consistency. A confirmatory factor analysis indicated an unsatisfactory fit to a one-factor structure, with a comparative fit index and root mean square error of approximation of 0.71 and 0.08, respectively, and a Tucker–Lewis index of 0.64. The MSSE total score was significantly but moderately correlated with the total scores of the Symptom Management–End-of-Life with Dementia (SM-EOLD) scale (Pearson’s correlation coefficient (r) = -0.44; p < 0.05), the physical suffering scores (r = 0.41; p < 0.05), and the psychological suffering scores (r = 0.55; p < 0.05).

Conclusions
The German version of the MSSE questionnaire did not perform well in the nursing home setting involving PAD. The instrument had low internal consistency, doubtful validity, and could not discriminate between suffering and other distressing symptoms. We do not recommend its use in this population.
Pericarditis caused by Mycobacterium africanum: case report
Authors: Mascarell Paula , de la Rica Alba , Padilla Sergio , Ruiz-García Montserrat , López-Escudero José , García-Abellán Javier , Botella Ángela , Masiá Mar , Gutiérrez Félix 
Published: July 2022

Abstract
Background
Mycobacterium africanum is a member of the Mycobacterium tuberculosis complex (MTBC) and is endemic in West Africa, where it causes up to half of all cases of pulmonary tuberculosis. Here, we report the first isolation of Mycobacterium africanum from the pericardial effusion culture of a patient with tuberculous pericarditis.

Case presentation
A 31-year-old man, native from Senegal, came to the emergency room with massive pericardial effusion and cardiac tamponade requiring pericardiocentesis. M. africanum subtype II was identified in the pericardial fluid. The patient completed 10 months of standard treatment, with a favorable outcome.

Conclusions
We report the first case of tuberculous pericarditis caused by Mycobacterium africanum, which provide evidence that this microorganism can cause pericardial disease and must be considered in patients from endemic areas presenting with pericardial effusion.
A novel method to detect the early warning signal of COVID-19 transmission
Authors: Li Mingzhang , Ma Shuo , Liu Zhengrong 
Published: July 2022

Abstract
Background
Infectious illness outbreaks, particularly the corona-virus disease 2019 (COVID-19) pandemics in recent years, have wreaked havoc on human society, and the growing number of infected patients has put a strain on medical facilities. It’s necessary to forecast early warning signals of potential outbreaks of COVID-19, which would facilitate the health ministry to take some suitable control measures timely to prevent or slow the spread of COVID-19. However, since the intricacy of COVID-19 transmission, which connects biological and social systems, it is a difficult task to predict outbreaks of COVID-19 epidemics timely.

Results
In this work, we developed a new model-free approach, called, the landscape network entropy based on Auto-Reservoir Neural Network (ARNN-LNE), for quantitative analysis of COVID-19 propagation, by mining dynamic information from regional networks and short-term high-dimensional time-series data. Through this approach, we successfully identified the early warning signals in six nations or areas based on historical data of COVID-19 infections.

Conclusion
Based on the newly published data on new COVID-19 disease, the ARNN-LNE method can give early warning signals for the outbreak of COVID-19. It’s worth noting that ARNN-LNE only relies on small samples data. Thus, it has great application potential for monitoring outbreaks of infectious diseases.
The relationship between hematocrit and serum albumin levels difference and mortality in elderly sepsis patients in intensive care units—a retrospective study based on two large database
Authors: Wang Zichen , Zhang Luming , Li Shaojin , Xu Fengshuo , Han Didi , Wang Hao , Huang Tao , Yin Haiyan , Lyu Jun 
Published: July 2022

Abstract
Background
Sepsis still threatens the lives of more than 300 million patients annually and elderly patients with sepsis usually have a more complicated condition and a worse prognosis. Existing studies have shown that both Hematocrit (HCT) and albumin (ALB) can be used as potential predictors of sepsis, and their difference HCT-ALB has a significant capacity to diagnose infectious diseases. Currently, there is no relevant research on the relationship between HCT-ALB and the prognosis of elderly sepsis patients. Therefore, this study aims to explore the association between HCT-ALB and mortality in elderly patients with sepsis.

Methods
This study was a multi-center retrospective study based on the Medical Information Mart for Intensive Care (MIMIC-IV) database and the eICU Collaborative Research Database (eICU-CRD) in elderly patients with sepsis. The optimal HCT-ALB cut-off point for ICU mortality was calculated by the Youden Index based on the eICU-CRD dataset, and multivariate logistic regressions were conducted to explore the association between HCT-ALB and ICU/hospital mortality in the two databases. Subgroup analyses were performed for different parameters and comorbidity status.

Results
The number of 16,127 and 3043 elderly sepsis patients were selected from two large intensive care databases (eICU-CRD and MIMIC-IV, respectively) in this study. Depending on the optimal cut-off point, patients in both eICU-CRD and MIMIC-IV were independently divided into low HCT-ALB (< 6.7) and high HCT-ALB (≥ 6.7) groups. The odds ratio (95%confidence interval) [OR (95CI%)] of the high HCT-ALB group were 1.50 (1.36,1.65) and 1.71 (1.58,1.87) for ICU and hospital mortality in the eICU-CRD database after multivariable adjustment. Similar trends in the ICU and hospital mortality [OR (95%CI) 1.41 (1.15,1.72) and 1.27 (1.07,1.51)] were observed in MIMIC-IV database. Subgroup analysis showed an interaction effect with SOFA score in the eICU-CRD database however not in MIMIC-IV dataset.

Conclusions
High HCT-ALB (≥ 6.7) is associated with 1.41 and 1.27 times ICU and hospital mortality risk in elderly patients with sepsis. HCT-ALB is simple and easy to obtain and is a promising clinical predictor of early risk stratification for elderly sepsis patients in ICU.
The TAS Test project: a prospective longitudinal validation of new online motor-cognitive tests to detect preclinical Alzheimer’s disease and estimate 5-year risks of cognitive decline and dementia
Authors: Alty Jane , Bai Quan , Li Renjie , Lawler Katherine , St George Rebecca J. , Hill Edward , Bindoff Aidan , Garg Saurabh , Wang Xinyi , Huang Guan , Zhang Kaining , Rudd Kaylee D. , Bartlett Larissa , Goldberg Lynette R. , Collins Jessica M. , Hinder Mark R. , Naismith Sharon L. , Hogg David C. , King Anna E. , Vickers James C. 
Published: July 2022

AbstractBackgroundThe worldwide prevalence of dementia is rapidly rising. Alzheimer’s disease (AD), accounts for 70% of cases and has a 10–20-year preclinical period, when brain pathology covertly progresses before cognitive symptoms appear. The 2020 Lancet Commission estimates that 40% of dementia cases could be prevented by modifying lifestyle/medical risk factors. To optimise dementia prevention effectiveness, there is urgent need to identify individuals with preclinical AD for targeted risk reduction. Current preclinical AD tests are too invasive, specialist or costly for population-level assessments. We have developed a new online test, TAS Test, that assesses a range of motor-cognitive functions and has capacity to be delivered at significant scale. TAS Test combines two innovations: using hand movement analysis to detect preclinical AD, and computer-human interface technologies to enable robust ‘self-testing’ data collection. The aims are to validate TAS Test to [1] identify preclinical AD, and [2] predict risk of cognitive decline and AD dementia.MethodsAim 1 will be addressed through a cross-sectional study of 500 cognitively healthy older adults, who will complete TAS Test items comprising measures of motor control, processing speed, attention, visuospatial ability, memory and language. TAS Test measures will be compared to a blood-based AD biomarker, phosphorylated tau 181 (p-tau181). Aim 2 will be addressed through a 5-year prospective cohort study of 10,000 older adults. Participants will complete TAS Test annually and subtests of the Cambridge Neuropsychological Test Battery (CANTAB) biennially. 300 participants will undergo in-person clinical assessments. We will use machine learning of motor-cognitive performance on TAS Test to develop an algorithm that classifies preclinical AD risk (p-tau181-defined) and determine the precision to prospectively estimate 5-year risks of cognitive decline and AD.DiscussionThis study will establish the precision of TAS Test to identify preclinical AD and estimate risk of cognitive decline and AD. If accurate, TAS Test will provide a low-cost, accessible enrichment strategy to pre-screen individuals for their likelihood of AD pathology prior to more expensive tests such as blood or imaging biomarkers. This would have wide applications in public health initiatives and clinical trials.Trial registrationClinicalTrials.gov Identifier:NCT05194787, 18 January 2022. Retrospectively registered.
Stent-assisted coiling of acutely ruptured cerebral aneurysm: a multicenter prospective registry study (SAVE)
Authors: Li Gaozhi , Han Yongquan , Ding Shenghao , Pan Yaohua , Zhang Xiaohua , Zhao Bing 
Published: July 2022

Abstract
Background
Stent-assisted coiling (SAC) has been reported as a feasible and effective treatment of wide-neck cerebral aneurysms. However, the evidence of SAC of ruptured cerebral aneurysm is lacking. There are no prospective multicenter studies regarding SAC of acutely ruptured aneurysms within 72 hours after subarachnoid hemorrhage. The purpose of the study is to evaluate the safety and efficiency of SAC of acutely ruptured cerebral aneurysms.

Methods
This study is a prospective, multicenter, and observation registry of consecutive patients with acutely ruptured cerebral aneurysms treated with SAC. Acutely ruptured aneurysms were confirmed within 72 h after the onset of the syndrome. This study will enroll at least 300 patients in 7 high-volume tertiary hospitals (more than 150 cerebral aneurysms treated per year). The primary outcomes are treatment-related thromboembolic complications within 30 days of the treatment. The secondary outcomes are any hemorrhagic complications and aneurysm recurrence at 6 months of angiographic follow-up. The clinical outcomes are measured with the Modified Rankin Scale (mRS) at discharge and at the 6 months of follow-up. The favorable outcomes are defined as an mRS of grades 0 and 2.

Discussion
We will perform a prospective, multicenter, and observational registry study of consecutive patients with wide-neck acutely ruptured cerebral aneurysms to improve the safety strategy of SAC of acutely ruptured cerebral aneurysms.

Trial registration
Chinese Clinic Trial Registry: ChiCTR2000036972; Registration date: Aug 26, 2020
Obstetric outcomes following ovarian hyperstimulation syndrome in IVF – a comparison with uncomplicated fresh and frozen transfer cycles
Authors: Ganer Herman Hadas , Mizrachi Yossi , Horowitz Eran , Weissman Ariel , Sabban Ben , Gluck Ohad , Raziel Arieh , Kovo Michal 
Published: July 2022

Abstract
Background
We aimed to assess the correlation between ovarian hyperstimulation syndrome (OHSS) in the early course of in vitro fertilization (IVF) pregnancies and obstetric outcomes.

Methods
We identified records of patients admitted due to OHSS following IVF treatment at our institution between 2008 and 2020. Cases were included if pregnancy resulted in a live singleton delivery (OHSS group). OHSS cases were matched at a 1:5:5 ratio with live singleton deliveries following IVF with fresh embryo transfer (fresh transfer group) and frozen embryo transfer (FET group), according to maternal age and parity. Computerized files were reviewed, and maternal, obstetric and neonatal outcomes compared.

Results
Overall, 44 OHSS cases were matched with 220 fresh transfer and 220 FET pregnancies. Patient demographics were similar between the groups, including body mass index, smoking and comorbidities. Gestational age at delivery, the rate of preterm births, preeclampsia and cesarean delivery were similar between the groups. Placental abruption occurred in 6.8% of OHSS pregnancies, 1.4% of fresh transfer pregnancies and 0.9% of FET pregnancies (p=0.02). On post-hoc analysis, the rate of placental abruption was significantly higher in OHSS pregnancies, compared with the two other groups, and this maintained significance after adjustment for confounders. Birthweights were 3017 ± 483, 3057 ± 545 and 3213 ± 542 grams in the OHSS, fresh transfer and FET groups, respectively (p=0.004), although the rate of small for gestational age neonates was similar between the groups.

Conclusions
OHSS in the early course of IVF pregnancies is associated with an increased risk of placental abruption.