bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of fetal and neonatal cardiac morphology between the infants of mothers with well-controlled gestational diabetes mellitus and normal controls
Authors: Santanapipatkul Phenphan , Luewan Suchaya , Sittiwangkul Rekwan , Krongphaiklang Nopparat , Jatavan Phudit , Tongsong Theera 
Published: July 2023

Objective To compare fetal and neonatal cardiac morphology in fetuses of mothers with gestational diabetes mellitus (GDM) with the controls Patients and methods Pregnant women at average risk of GDM underwent 100-g, 3-h-OGTT at 24–28 weeks of gestation for diagnosis of GDM. Both GDM group and the control group underwent fetal echocardiography at 32–36 weeks to assess cardiac dimensions. The neonates underwent echocardiography within 48 h after birth to assess cardiac morphology. Results A total of 154 pregnant women were recruited, including 60 in the GDM group and 94 in the control group. All of the study group were well controlled for GDM. Most baseline characteristics of both groups were comparable. All obstetric outcomes were not significantly different between the two groups. Morphological cardiac dimensions in the fetuses and newborns of both groups were also not significant different. Subgroup analysis in the study group showed no significantly different in cardiac morphology between the group with diet control and that of insulin control. Conclusion Fetal and neonatal cardiac morphologic changes among mothers with well-controlled GDM are not significantly different from those in the controls. It is possible that good control of maternal blood glucose can prevent fetal and neonatal cardiac abnormalities.
Efficacy and safety of thrombectomy for acute ischaemic stroke in patients with pre-stroke mRS scores of 2–3: Real-world evaluation from an open-label, prospective, multicentre, observational study
Authors: Miyake Shigeta , Akimoto Taisuke , Nakai Yasunobu , Amano Yu , Yamamoto Ryoo , Amari Kazumitsu , Yamamoto Tetsuya , Takeuchi Masataka , Morimoto Masafumi , Tsuboi Yoshifumi , Kaku Shogo , Ayabe Junichi , Akiyama Takekazu , Yamamoto Daisuke , Ito Hidemichi , Onodera Hidetaka , Takaishi Satoshi , Hasegawa Yasuhiro , Ueda Toshihiro 
Published: July 2023

Background This study assessed the efficacy and safety of thrombectomy for acute ischaemic stroke in a population with pre-stroke modified Rankin scale (mRS) scores of 2–3 using real-world data. Methods Our sample set included 2313 consecutive patients enrolled in the Kanagawa Registry of Intravenous and Endovascular Treatment of Acute Ischemic Stroke registry between January 2018 and June 2020 in 40 stroke centres in Kanagawa Prefecture, Japan. Patients treated with intravenous tissue plasminogen activator (t-PA), thrombectomy, or both were included. Patients with pre-stroke mRS scores of 4–5 and those treated only with intra-arterial thrombolysis were excluded. The primary outcome of this study was an mRS score of 0–3 at 90 days after onset to assess the efficacy of thrombectomy for pre-stroke disabled individuals. We performed multivariate logistic regression analyses to investigate independent factors for a 90-day mRS score of 0–3. We also performed nearest-neighbour within-calliper matching between thrombectomy and t-PA only. Results After excluding patients meeting the exclusion criteria, we analysed data of 2136 consecutive patients, of which 315 (14.7%) had pre-stroke disabilities (mRS score 2–3). A 90-day mRS score of 0–3 was achieved by 33.3% of patients with pre-stroke mRS scores of 2–3. According to multivariate analysis, the National Institutes of Health Stroke Scale (NIHSS) score was an independent factor. Furthermore, after propensity-score matching, thrombectomy showed considerable superiority for achieving a 90-day mRS score of 0–3. Conclusion Intravenous t-PA and especially thrombectomy were safe and effective for the population with pre-stroke disabilities, particularly for patients with low NIHSS scores.
Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram
Authors: Pu Jincheng , Song Jiamin , Pan Shengnan , Zhuang Shuqi , Gao Ronglin , Liang Yuanyuan , Wu Zhenzhen , Wang Yanqing , Zhang Youwei , Yang Lufei , Han Fang , Wu Huihong , Tang Jianping , Wang Xuan 
Published: July 2023

Background: Patients with primary Sjögren’s syndrome (pSS) are at increased risk of cardiovascular morbidity as compared with the general population. Objectives: A retrospective study on 349 Chinese patients with pSS was conducted to identify potential risk factors for cardiovascular events and develop a cardiovascular risk nomogram. Design: This is a retrospective observational study. Methods: The study included 349 patients who were diagnosed with pSS at Tongji Hospital, School of Medicine, Tongji University, China from January 2010 to March 2022. The least absolute shrinkage and selection operator (LASSO) was used to select features for the cardiovascular risk model. The features selected in LASSO were used to build the cardiovascular risk model in a multivariate logistic regression analysis. C-index, receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis were used to assess the predictive model. Internal validation was performed by bootstrapping. Results: Sex, joint pain as an initial symptom, dry mouth, oral ulcers, dental caries, Raynaud’s phenomenon, fatigue, diabetes, elevated thyroid-stimulating hormone (TSH) level, and elevated systolic blood pressure were included in the nomogram for the prediction of cardiovascular risk. Our model had good discrimination (C-index: 0.824, 95% confidence interval: 0.712–0.936) and good calibration (C-index in the interval validation: 0.8). Decision curve analysis indicated that our nomogram demonstrated clinical usefulness for intervention in a cardiovascular disease possibility threshold of 3%. Conclusion: The cardiovascular risk nomogram incorporating sex, initial joint pain, dry mouth, oral ulcer, dental caries, Raynaud’s phenomenon, fatigue, diabetes, elevated TSH, and systolic blood pressure could be used in the prediction of cardiovascular risk in patients with pSS and the guidance of further treatment.
Pregnancy outcomes and disease phenotype of hypertensive disorders of pregnancy in singleton pregnancies after in vitro fertilization: a retrospective analysis of 1130 cases
Authors: Dai Fen , Lan Yehui , Pan Shuangjia , Wang Yuhuan , Hua Ying , Xiao Wenya 
Published: July 2023

Abstract
Background
Although in vitro fertilization (IVF) can increase the incidence of hypertensive disorders of pregnancy (HDP), the pregnancy outcomes and disease phenotype of HDP in singleton pregnancies conceived via IVF remain unclear.

Methods
This retrospective cohort study enrolled 1130 singleton pregnancies with HDP from 2016 to 2020. According to the mode of conception, they were allocated into IVF (n = 102) and natural conception (NC) groups (n = 1028). All IVF pregnancies were subdivided into frozen embryo transfer (FET) group (n = 42) and fresh embryo transfer (ET) group (n = 60). Demographic data, pregnancy outcomes and disease phenotypes of HDP among the groups were compared. The risk factors for severe preeclampsia (PE) and early-onset PE were analyzed.

Results
The incidences of early-onset PE (P<0.001), severe PE (P = 0.016), cesarean section (P<0.001) and preterm births (P = 0.003) in the IVF-HDP group were significantly higher than those in the NC-HDP group, and gestational age at diagnosis of HDP (P = 0.027) and gestational age at delivery (P = 0.004) were earlier and birthweight of the neonates (P = 0.033) were lower in the IVF group. In singleton pregnancies with HDP, IVF was associated with increased risks for both severe PE and early-onset PE (aOR 1.945, 95% CI 1.256, 3.014; and aOR 2.373, 95% CI 1.537, 3.663, respectively), as well as FET, family history of preeclampsia, intrahepatic cholestasis of pregnancy, gestational hypothyroidism and multiparity were associated with increased risks of severe PE and early-onset PE.

Conclusions
In singleton pregnancies with HDP, IVF was associated with an increased incidence of the disease phenotype (severe or early-onset PE), as well as an increased incidence of pregnancy outcomes related to severe PE and early-onset PE.
SNHG1 opposes quiescence and promotes docetaxel sensitivity in prostate cancer
Authors: Zielske Steven P. , Chen Wei , Ibrahim Kristina G. , Cackowski Frank C. 
Published: July 2023

Abstract
Background
A majority of prostate cancer cells are in a non-proliferating, G0 (quiescent) phase of the cell cycle and may lie dormant for years before activation into a proliferative, rapidly progressing, disease phase. Many mechanisms which influence proliferation and quiescence choices remain to be elucidated, including the role of non-coding RNAs. In this study, we investigated the role of a long non-coding RNA (lncRNA), SNHG1, on cell proliferation, quiescence, and sensitivity to docetaxel as a potential factor important in prostate cancer biology.

Methods
Publically available, anonymous, clinical data was obtained from cBioPortal for analysis. RNAi and prostate cancer cell lines were utilized to investigate SNHG1 in vitro. We measured G0 cells, DNA synthesis, and cell cycle distribution by flow cytometry. Western blotting was used to assess G2 arrest and apoptosis. These parameters were also investigated following docetaxel treatment.

Results
We discovered that in prostate cancer patients from The Cancer Genome Atlas (TCGA) data set, high SNHG1 expression in localized tumors correlated with reduced progression-free survival, and in a data set of both primary and metastatic tumors, high SNHG1 expression was associated with metastatic tumors. In vitro analysis of prostate cancer cell lines showed SNHG1 expression correlated with a quiescent versus proliferative phenotype. Knockdown of SNHG1 by RNAi in PC3 and C4-2B cells resulted in an accumulation of cells in the G0 phase. After knockdown, 60.0% of PC3 cells were in G0, while control cultures had 13.2% G0. There were reciprocal decreases in G1 phase, but little impact on the proportion of cells in S and G2/M phases, depending on cell line. DNA synthesis and proliferation were largely halted- decreasing by 75% and 81% in C4-2B and PC3 cells, respectively. When cells were treated with docetaxel, SNHG1-depleted C4-2B and PC3 cells were resistant to G2 arrest, and displayed reduced apoptosis, as indicated by reduced cyclin B1 and cleaved caspase 3, suggesting SNHG1 levels may modulate drug response.

Conclusions
Overall, these results indicate SNHG1 has complex roles in prostate cancer, as it stimulates cell cycle entry and disease progression, but sensitizes cells to docetaxel treatment.
The relation between dietary quality and healthy eating index with bone mineral density in osteoporosis: a case-control study
Authors: Ghadiri Marzieh , Soltani Mitra , Rajabzadeh-Dehkordi Milad , Gerami Shirin , Shateri Zainab , Nouri Mehran , Gargari Bahram Pourghassem 
Published: July 2023

Abstract
Background
In this study, we aimed to illustrate the association between the Healthy Eating Index (HEI) and Dietary Quality Index (DQI) with bone mineral density (BMD) among postmenopausal Iranian women with osteoporosis compared to the healthy control.

Methods
In the current case-control study, 131 postmenopausal women with osteoporosis and 131 healthy postmenopausal women participated. Dual-energy X-ray absorptiometry was used to assess the lumbar vertebrae and femoral neck BMD. The subjects completed a validated food frequency questionnaire (FFQ), and then HEI and DQI were calculated based on the FFQ data. Crude and adjusted multivariable logistic regression was used to assess the relation between HEI and DQI with the odds of the femoral and lumbar BMD.

Results
According to the results, participants in the last tertile of HEI were more likely to have higher femoral and lumbar BMD in the crude model (odds ratio (OR) = 0.38; 95% confidence interval (CI): 0.20–0.71 and OR = 0.20; 95% CI: 0.10–0.40, respectively) and also in the adjusted model (OR = 0.40; 95% CI: 0.20–0.78 and OR = 0.20; 95% CI: 0.10–0.41, respectively). Also, in terms of DQI-I, participants in the last tertile were more likely to have higher femoral and lumbar BMD in the crude model (OR = 0.23; 95% CI: 0.12–0.45 and OR = 0.29; 95% CI: 0.15–0.55, respectively) and also in the adjusted model (OR = 0.29; 95% CI: 0.14–0.58 and OR = 0.34; 95% CI: 0.17–0.67, respectively).

Conclusions
The results of the current study supported the hypothesis that high-quality diets with healthy patterns can be clinically effective in maintaining bone health. Thus, recommendations regarding the consumption of nutrient-rich food groups in a healthy diet can serve as a practical non-pharmacological strategy against osteoporosis.
Association between sleep duration and dental caries in a nationally representative U.S. population
Authors: Alawady Abdullah , Alharbi Asma , Alharbi Hajar , Almesbah Sarah , Alshammari Noor , Alkandari Ahmad , Alhazmi Hesham , Alqaderi Hend 
Published: July 2023

Abstract
Background
Dental caries is considered one of the most prevalent chronic diseases worldwide despite all dental public health efforts. Short sleep duration has been established as a risk factor for several medical conditions. In this study, we aimed to examine the relationship between sleep duration and dental caries.

Methods
Data were collected from the 2017–2018 cycle of the National Health and Nutrition Examination Survey, a nationally representative health survey conducted in the United States. Participants who completed sleep questionnaires were examined by dentists using standardized clinical criteria. Analysis was limited to Individuals aged ≥ 16 years with complete clinical oral examination data and who completed the sleep questionnaire (N = 5,205). The data were weighted to provide a national estimate, and multiple potential covariates were included in the analysis to account for the complex sample design. The main outcomes of the study were untreated dental caries and dental caries experience. The main predictor variables were average sleep hours/night and a binary variable with 7 h/night as a cut off. Multiple weighted Poisson and logistic regression analyses were conducted to test the hypothesis that people with short sleep duration are more likely to exhibit dental caries.

Results
This study showed a statistically significant negative relationship between sleep duration and dental caries amongst all weighted adjusted analyses conducted. For a one hour increase in average sleep hours, the Adjusted Odds Ratio (AOR) of having a dental caries experience might decrease by 0.86 (AOR = 0.86, 95% CI = 0.75–0.98, P < 0.05). Individuals who reported an average sleep of ≥ 7 h were less likely to have a dental caries experience compared to individuals who reported an average sleep of < 7 h (AOR = 0.52, 95% CI = 0.33–0.82, P < 0.05). For a one hour increase in average sleep hours, the Adjusted Mean Ratio (AMR) of having a dental caries experience might decrease by 0.97 (AMR = 0.97, 95% CI = 0.96–0.99, P < 0.05), and was lower for those who reported sleeping ≥ 7 h/night than individuals who reported sleeping < 7 h/night (AMR = 0.92, 95% CI = 0.87–0.99, P < 0.05).

Conclusion
Findings of this cross-sectional representative study of the U.S. population revealed a statistically significant negative association between sleep duration and dental caries. In this study, individuals who slept < 7 h/night were more likely to exhibit dental caries.
Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks
Authors: Petrica Marian , Popescu Ionel 
Published: July 2023

AbstractIn this paper, we propose a parameter identification methodology of the SIRD model, an extension of the classical SIR model, that considers the deceased as a separate category. In addition, our model includes one parameter which is the ratio between the real total number of infected and the number of infected that were documented in the official statistics. Due to many factors, like governmental decisions, several variants circulating, opening and closing of schools, the typical assumption that the parameters of the model stay constant for long periods of time is not realistic. Thus our objective is to create a method which works for short periods of time. In this scope, we approach the estimation relying on the previous 7 days of data and then use the identified parameters to make predictions. To perform the estimation of the parameters we propose the average of an ensemble of neural networks. Each neural network is constructed based on a database built by solving the SIRD for 7 days, with random parameters. In this way, the networks learn the parameters from the solution of the SIRD model. Lastly we use the ensemble to get estimates of the parameters from the real data of Covid19 in Romania and then we illustrate the predictions for different periods of time, from 10 up to 45 days, for the number of deaths. The main goal was to apply this approach on the analysis of COVID-19 evolution in Romania, but this was also exemplified on other countries like Hungary, Czech Republic and Poland with similar results. The results are backed by a theorem which guarantees that we can recover the parameters of the model from the reported data. We believe this methodology can be used as a general tool for dealing with short term predictions of infectious diseases or in other compartmental models.
A novel X-linked mutation in IL2RG associated with early-onset inflammatory bowel disease: a case report of twin brothers
Authors: Rayzan Elham , Sadeghalvad Mona , Shahkarami Sepideh , Zoghi Samaneh , Aryan Zahra , Mahdaviani Seyed Alireza , Boztug Kaan , Rezaei Nima 
Published: July 2023

Abstract
Background
X-linked severe combined immunodeficiency is caused by IL2RG gene mutation. Several variations have been identified in the IL2RG gene, which potentially can prevent the production of nonfunctional proteins. Herein, a novel X-linked variant in the IL2RG gene is reported in twin brothers, associated with inflammatory bowel symptoms.

Case presentation
The patients were 26-month-old monozygotic twin middle-eastern males with failure to thrive and several inpatient admissions due to severe chronic nonbloody diarrhea that started at the age of 12 months. Pancolitis was revealed after performing upper and lower gastrointestinal endoscopies on the twin with more severe gastrointestinal symptoms. Flow cytometric evaluation of the peripheral blood cells showed low levels of CD4+ cells in both patients. Next generation sequencing-based gene panel test results of the two patients proved a novel heterozygous missense X-linked IL2RG mutation (70330011 A > G, p.Trp197Arg) in one of the patients, which was predicted to be deleterious (CADD score of 28), which soon after was confirmed by Sanger segregation in his twin brother. Both parents were wild types and had never experienced similar symptoms. The patients received an human leukocyte antigen (HLA)-matched cord blood transplant. The twin with more severe gastrointestinal symptoms died 1 month after transplantation. In his brother, watery diarrhea eventually subsided after transplantation.

Conclusion
Intestinal involvement in X-linked severe combined immunodeficiency is a rare presentation that might be neglected. The increasing availability of genetic screening tests worldwide could be helpful for early detection of such lethal primary immunodeficiency diseases and in implementing effective interventions to handle the severe outcomes.
Semantically enabling clinical decision support recommendations
Authors: Seneviratne Oshani , Das Amar K. , Chari Shruthi , Agu Nkechinyere N. , Rashid Sabbir M. , McCusker Jamie , Franklin Jade S. , Qi Miao , Bennett Kristin P. , Chen Ching-Hua , Hendler James A. , McGuinness Deborah L. 
Published: July 2023

AbstractBackgroundClinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommendations are typically derived from clinical practice guidelines created by clinical specialties or healthcare organizations. Although there have been many different technical approaches to encoding guideline recommendations into decision support systems, much of the previous work has not focused on enabling system generated recommendations through the formalization of changes in a guideline, the provenance of a recommendation, and applicability of the evidence. Prior work indicates that healthcare providers may not find that guideline-derived recommendations always meet their needs for reasons such as lack of relevance, transparency, time pressure, and applicability to their clinical practice.ResultsWe introduce several semantic techniques that model diseases based on clinical practice guidelines, provenance of the guidelines, and the study cohorts they are based on to enhance the capabilities of clinical decision support systems. We have explored ways to enable clinical decision support systems with semantic technologies that can represent and link to details in related items from the scientific literature and quickly adapt to changing information from the guidelines, identifying gaps, and supporting personalized explanations. Previous semantics-driven clinical decision systems have limited support in all these aspects, and we present the ontologies and semantic web based software tools in three distinct areas that are unified using a standard set of ontologies and a custom-built knowledge graph framework:(i) guideline modeling to characterize diseases,(ii) guideline provenance to attach evidence to treatment decisions from authoritative sources, and(iii) study cohort modeling to identify relevant research publications for complicated patients.ConclusionsWe have enhanced existing, evidence-based knowledge by developing ontologies and software that enables clinicians to conveniently access updates to and provenance of guidelines, as well as gather additional information from research studies applicable to their patients’ unique circumstances. Our software solutions leverage many well-used existing biomedical ontologies and build upon decades of knowledge representation and reasoning work, leading to explainable results.