bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parasitic myoma after transabdominal hysterectomy for fibroids: a case report
Authors: Wang Jiao , Liu Guipeng , Yang Qing 
Published: June 2023

Abstract
Background
Parasitic myomas typically occur after a pedunculated subserosal fibroid loses its uterine blood supply and parasitizes other organs or after a surgery involving morcellation techniques. Parasitic myomas that occur after transabdominal surgery are extremely rare and may not be sufficiently documented. Here, we present a case of parasitic myoma in the anterior abdominal wall following a transabdominal hysterectomy for fibroids.

Case presentation
The patient was a 46-year-old Chinese woman who had undergone surgery for uterine myomas at our hospital 1 year prior. The patient later revisited our department with a palpable mass in her abdomen, and imaging revealed a mass in the iliac fossa. The possibility of a broad ligament myoma or solid ovarian tumor was considered before surgery, and laparoscopic exploration was performed under general anesthesia. A tumor measuring approximately 4.5 × 4.0 cm was found in the right anterior abdominal wall, and a parasitic myoma was considered. The tumor was completely resected. Pathological analysis of the surgical specimens suggested leiomyoma. The patient recovered well and was discharged on postoperative day 3.

Conclusion
This case suggests that parasitic myoma should be considered in the differential diagnosis of patients presenting with abdominal or pelvic solid tumors with a history of surgery for uterine leiomyomas, even without a history of laparoscopic surgery using a power morcellator. Thorough inspection and washing of the abdominopelvic cavity at the end of surgery is vital.
Development of a predictive model for identifying women vulnerable to HIV in Chicago
Authors: Friedman Eleanor E. , Shankaran Shivanjali , Devlin Samantha A. , Kishen Ekta B. , Mason Joseph A. , Sha Beverly E. , Ridgway Jessica P. 
Published: June 2023

Abstract
Introduction
Researchers in the United States have created several models to predict persons most at risk for HIV. Many of these predictive models use data from all persons newly diagnosed with HIV, the majority of whom are men, and specifically men who have sex with men (MSM). Consequently, risk factors identified by these models are biased toward features that apply only to men or capture sexual behaviours of MSM. We sought to create a predictive model for women using cohort data from two major hospitals in Chicago with large opt-out HIV screening programs.

Methods
We matched 48 newly diagnosed women to 192 HIV-negative women based on number of previous encounters at University of Chicago or Rush University hospitals. We examined data for each woman for the two years prior to either their HIV diagnosis or their last encounter. We assessed risk factors including demographic characteristics and clinical diagnoses taken from patient electronic medical records (EMR) using odds ratios and 95% confidence intervals. We created a multivariable logistic regression model and measured predictive power with the area under the curve (AUC). In the multivariable model, age group, race, and ethnicity were included a priori due to increased risk for HIV among specific demographic groups.

Results
The following clinical diagnoses were significant at the bivariate level and were included in the model: pregnancy (OR 1.96 (1.00, 3.84)), hepatitis C (OR 5.73 (1.24, 26.51)), substance use (OR 3.12 (1.12, 8.65)) and sexually transmitted infections (STIs) chlamydia, gonorrhoea, or syphilis. We also a priori included demographic factors that are associated with HIV. Our final model had an AUC of 0.74 and included healthcare site, age group, race, ethnicity, pregnancy, hepatitis C, substance use, and STI diagnosis.

Conclusions
Our predictive model showed acceptable discrimination between those who were and were not newly diagnosed with HIV. We identified risk factors such as recent pregnancy, recent hepatitis C diagnosis, and substance use in addition to the traditionally used recent STI diagnosis that can be incorporated by health systems to detect women who are vulnerable to HIV and would benefit from preexposure prophylaxis (PrEP).
Estimation of global rating changes in quality of life and marital satisfaction among reproductive age women in Iran and Afghanistan before and after COVID-19 pandemic
Authors: Khalili Masomeh , Jahanian Sadatmahalleh Shahideh , Nasiri Malihe , Montazeri Ali 
Published: June 2023

AbstractBackgroundQuality of life and marital satisfaction are important components of reproductive-age women’s health. This study aimed to compare the quality of life and marital satisfaction in women of reproductive age in Iran and Afghanistan before and after the COVID-19 pandemic.MethodsThis was a cross-sectional study on a sample of Iranian and Afghan women of reproductive age. To collect the data, the 12-item short-form health survey (SF-12) and the Enrich marital satisfaction scale were used to assess the quality of life and marital satisfaction, respectively. In addition, the Global Rating of Change (GRC) was used in order to evaluate the quality of life and marital satisfaction compared to before the COVID-19 pandemic. Data were evaluated descriptively through statistics including sing t-test, and chi-square, Logistic regression was performed to assess the relationship between outcome variables and independent variables.ResultsIn all 599 reproductive-age women (300 Iranian, and 299 Afghan) were studied. After adjusting for demographic variables, no significant difference was observed between the two groups for the physical component (P = 0.05) and mental component summary scores of quality of life (P = 0.166) as measured by the SF-12. The majority of Iranian women reported that their quality of life was worsened compared to before the pandemic (57.2%), while in the Afghan group, a higher percentage declared that it was unchanged (58.9%). The mental component of quality of life had no significant relationship with any of the independent variables including nationality. In contrast, the physical component quality of life had a significant relationship with nationality (P = 0.01). Iranian women had more marital satisfaction than Afghan women (P<0.001) and marital satisfaction had a significant relationship with nationality (P<0.001). Most women in both groups (70% of Iranian and 60% of Afghan women) declared that their marital satisfaction unchanged compared to before the COVID-19 pandemic.ConclusionThe results showed that the quality of life of Iranian and Afghan women of reproductive age was almost the same before and after the pandemic. However, Iranians scored lower on the mental component summary and Afghans reported lower scores on the physical component summary. Marital satisfaction of Afghan women was much lower than that of Iranian women. The findings suggest the need for serious attention by health care authorities. Providing a supportive environment might be considered a primary step towards a better quality of life for these populations.
A virtual training program for improving cultural competence among academic nurse educators
Authors: Rahimi Monireh , Khodabandeh Shahraki Sedigheh , Fatehi Farhad , Farokhzadian Jamileh 
Published: June 2023

Abstract
Background
Everyday, nursing students interact with culturally diverse clients. Nursing education recognizes that cultural competence is a necessary outcome of nursing programs. Nurse educators expect all nursing students to provide culturally congruent care to multicultural clients. Therefore, nurse educators must be culturally competent in order to prepare culturally competent nursing students for clinical practice. This study aimed to evaluate the effect of virtual training program on the cultural competence of academic nurse educators.

Methods
This randomized controlled study included nurse educators working in six nursing schools affiliated with medical universities of Kerman province in southeastern Iran. Sixty-nine nurse educators were randomly assigned to the intervention (n = 35) and control (n = 34) groups. The training program consisted of three 2-hour sessions for a month. Cultural Diversity Questionnaire for Nurse Educators Revised (CDQNE-R) was used to evaluate the cultural competence of educators before and one month after the virtual training program.

Results
Both the intervention (3.29 ± 0.58) and control (3.24 ± 0.58) groups demonstrated a similar level of cultural competence before the training program (t = 0.05, p = 0.95). After the training, the intervention group showed a significant increase in cultural competence (3.80 ± 0.7) compared to the control group (3.23 ± 0.67). This improvement resulted in culturally competent participants becoming culturally proficient, as evidenced by a large effect size (t = -4.76, p = 0.001).

Conclusion
The virtual training program had a positive impact on the cultural competence of nurse educators. Given the importance of cultural competence in nursing education, continuing education programs that focus on strengthening the cultural competence of nurse educators should be prioritized. The experiences gained from implementing virtual training programs can serve as a valuable resource for nurse educators seeking to enhance their cultural competence.
MicroRNA-361-5p acts as a biomarker for carotid artery stenosis and promotes vascular smooth muscle cell proliferation and migration
Authors: Wang Fei , An Yumei , Hao Huihui 
Published: June 2023

Abstract
Background
Vascular smooth muscle cells (VSMCs) dysfunction participates in carotid artery stenosis (CAS). The study aimed to examine the expression pattern of miR-361-5p in CAS patients, and explore its role in VSMCs proliferation and migration.

Methods
qRT-PCR was performed for the detection of miR-361-5p in serum samples of 150 CAS cases and 150 healthy people. Multiple logistic regression analysis and receiver operating characteristic (ROC) curve was accomplished to detect diagnostic value via SPSS 21.0 statistical software. Cell function of VSMCs was evaluated. Target association was predicted through bioinformatic analysis and confirmed via luciferase activity.

Results
Serum miR-361-5p was enhanced in CAS cases and was positively correlated with CAS degree. Logistic regression analysis determined the independent influence of miR-361-5p in CAS, and ROC curve demonstrated its diagnostic value with AUC of 0.892. miR-361-5p promoted VSMCs proliferation and migration, but the influence was counteracted by TIMP4.

Conclusions
MiR-361-5p is a promising biomarker for CAS, and can be used as a potential target for early diagnosis and treatment of CAS. MiR-361-5p can promote VSMCs proliferation and migration via targeting TIMP4.
Application of machine learning algorithms and feature selection in rapeseed (Brassica napus L.) breeding for seed yield
Authors: Shahsavari Masoud , Mohammadi Valiollah , Alizadeh Bahram , Alizadeh Houshang 
Published: June 2023

Abstract
Background
Studying the relationships between rapeseed seed yield (SY) and its yield-related traits can assist rapeseed breeders in the efficient indirect selection of high-yielding varieties. However, since the conventional and linear methods cannot interpret the complicated relations between SY and other traits, employing advanced machine learning algorithms is inevitable. Our main goal was to find the best combination of machine learning algorithms and feature selection methods to maximize the efficiency of indirect selection for rapeseed SY.

Results
To achieve that, twenty-five regression-based machine learning algorithms and six feature selection methods were employed. SY and yield-related data from twenty rapeseed genotypes were collected from field experiments over a period of 2 years (2019–2021). Root mean square error (RMSE), mean absolute error (MAE), and determination coefficient (R2) were used to evaluate the performance of the algorithms. The best performance with all fifteen measured traits as inputs was achieved by the Nu-support vector regression algorithm with quadratic polynomial kernel function (R2 = 0.860, RMSE = 0.266, MAE = 0.210). The multilayer perceptron neural network algorithm with identity activation function (MLPNN-Identity) using three traits obtained from stepwise and backward selection methods appeared to be the most efficient combination of algorithms and feature selection methods (R2 = 0.843, RMSE = 0.283, MAE = 0.224). Feature selection suggested that the set of pods per plant and days to physiological maturity along with plant height or first pod height from the ground are the most influential traits in predicting rapeseed SY.

Conclusion
The results of this study showed that MLPNN-Identity along with stepwise and backward selection methods can provide a robust combination to accurately predict the SY using fewer traits and therefore help optimize and accelerate SY breeding programs of rapeseed.
A novel non-invasive exhaled breath biopsy for the diagnosis and screening of breast cancer
Authors: Liu Jiaqi , Chen Haibin , Li Yalun , Fang Yanman , Guo Yang , Li Shuangquan , Xu Juan , Jia Ziqi , Zou Jiali , Liu Gang , Xu Hengyi , Wang Tao , Wang Dingyuan , Jiang Yiwen , Wang Yang , Tang Xuejie , Qiao Guangdong , Zhou Yeqing , Bai Lan , Zhou Ran , Lu Can , Wen Hongwei , Li Jiayi , Huang Yansong , Zhang Shuo , Feng Yong , Chen Hongyan , Xu Shouping , Zhang Bailin , Liu Zhihua , Wang Xiang 
Published: June 2023

Abstract
Background
Early detection is critical for improving the survival of breast cancer (BC) patients. Exhaled breath testing as a non-invasive technique might help to improve BC detection. However, the breath test accuracy for BC diagnosis is unclear.

Methods
This multi-center cohort study consecutively recruited 5047 women from four areas of China who underwent BC screening. Breath samples were collected through standardized breath collection procedures. Volatile organic compound (VOC) markers were identified from a high-throughput breathomics analysis by the high-pressure photon ionization–time-of-flight mass spectrometry (HPPI-TOFMS). Diagnostic models were constructed using the random forest algorithm in the discovery cohort and tested in three external validation cohorts.

Results
A total of 465 (9.21%) participants were identified with BC. Ten optimal VOC markers were identified to distinguish the breath samples of BC patients from those of non-cancer women. A diagnostic model (BreathBC) consisting of 10 optimal VOC markers showed an area under the curve (AUC) of 0.87 in external validation cohorts. BreathBC-Plus, which combined 10 VOC markers with risk factors, achieved better performance (AUC = 0.94 in the external validation cohorts), superior to that of mammography and ultrasound. Overall, the BreathBC-Plus detection rates were 96.97% for ductal carcinoma in situ, 85.06%, 90.00%, 88.24%, and 100% for stages I, II, III, and IV BC, respectively, with a specificity of 87.70% in the external validation cohorts.

Conclusions
This is the largest study on breath tests to date. Considering the easy-to-perform procedure and high accuracy, these findings exemplify the potential applicability of breath tests in BC screening.
A long-lasting porcine model of ARDS caused by pneumonia and ventilator-induced lung injury
Authors: Barbeta Enric , Arrieta Marta , Motos Ana , Bobi Joaquim , Yang Hua , Yang Minlan , Tanzella Giacomo , Di Ginnatale Pierluigi , Nogas Stefano , Vargas Carmen Rosa , Cabrera Roberto , Battaglini Denise , Meli Andrea , Kiarostami Kasra , Vázquez Nil , Fernández-Barat Laia , Rigol Montserrat , Mellado-Artigas Ricard , Frigola Gerard , Camprubí-Rimblas Marta , Ferrer Pau , Martinez Daniel , Artigas Antonio , Ferrando Carlos , Ferrer Miquel , Torres Antoni 
Published: June 2023

Abstract
Background
Animal models of acute respiratory distress syndrome (ARDS) do not completely resemble human ARDS, struggling translational research. We aimed to characterize a porcine model of ARDS induced by pneumonia—the most common risk factor in humans—and analyze the additional effect of ventilator-induced lung injury (VILI).

Methods
Bronchoscopy-guided instillation of a multidrug-resistant Pseudomonas aeruginosa strain was performed in ten healthy pigs. In six animals (pneumonia-with-VILI group), pulmonary damage was further increased by VILI applied 3 h before instillation and until ARDS was diagnosed by PaO2/FiO2 < 150 mmHg. Four animals (pneumonia-without-VILI group) were protectively ventilated 3 h before inoculum and thereafter. Gas exchange, respiratory mechanics, hemodynamics, microbiological studies and inflammatory markers were analyzed during the 96-h experiment. During necropsy, lobar samples were also analyzed.

Results
All animals from pneumonia-with-VILI group reached Berlin criteria for ARDS diagnosis until the end of experiment. The mean duration under ARDS diagnosis was 46.8 ± 7.7 h; the lowest PaO2/FiO2 was 83 ± 5.45 mmHg. The group of pigs that were not subjected to VILI did not meet ARDS criteria, even when presenting with bilateral pneumonia. Animals developing ARDS presented hemodynamic instability as well as severe hypercapnia despite high-minute ventilation. Unlike the pneumonia-without-VILI group, the ARDS animals presented lower static compliance (p = 0.011) and increased pulmonary permeability (p = 0.013). The highest burden of P. aeruginosa was found at pneumonia diagnosis in all animals, as well as a high inflammatory response shown by a release of interleukin (IL)-6 and IL-8. At histological examination, only animals comprising the pneumonia-with-VILI group presented signs consistent with diffuse alveolar damage.

Conclusions
In conclusion, we established an accurate pulmonary sepsis-induced ARDS model.
Nonlinear changes in delayed functional network topology in Alzheimer’s disease: relationship with amyloid and tau pathology
Authors: Mijalkov Mite , Veréb Dániel , Canal-Garcia Anna , Hinault Thomas , Volpe Giovanni , Pereira Joana B. ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: June 2023

AbstractBackgroundAlzheimer’s disease is a neurodegenerative disorder associated with the abnormal deposition of pathological processes, such as amyloid-ß and tau, which produces nonlinear changes in the functional connectivity patterns between different brain regions across the Alzheimer’s disease continuum. However, the mechanisms underlying these nonlinear changes remain largely unknown. Here, we address this question using a novel method based on temporal or delayed correlations and calculate new whole-brain functional networks to tackle these mechanisms.MethodsTo assess our method, we evaluated 166 individuals from the ADNI database, including amyloid-beta negative and positive cognitively normal subjects, patients with mild cognitive impairment, and patients with Alzheimer’s disease dementia. We used the clustering coefficient and the global efficiency to measure the functional network topology and assessed their relationship with amyloid and tau pathology measured by positron emission tomography, as well as cognitive performance using tests measuring memory, executive function, attention, and global cognition.ResultsOur study found nonlinear changes in the global efficiency, but not in the clustering coefficient, showing that the nonlinear changes in functional connectivity are due to an altered ability of brain regions to communicate with each other through direct paths. These changes in global efficiency were most prominent in early disease stages. However, later stages of Alzheimer’s disease were associated with widespread network disruptions characterized by changes in both network measures. The temporal delays required for the detection of these changes varied across the Alzheimer’s disease continuum, with shorter delays necessary to detect changes in early stages and longer delays necessary to detect changes in late stages. Both global efficiency and clustering coefficient showed quadratic associations with pathological amyloid and tau burden as well as cognitive decline.ConclusionsThis study suggests that global efficiency is a more sensitive indicator of network changes in Alzheimer’s disease when compared to clustering coefficient. Both network properties were associated with pathology and cognitive performance, demonstrating their relevance in clinical settings. Our findings provide an insight into the mechanisms underlying nonlinear changes in functional network organization in Alzheimer’s disease, suggesting that it is the lack of direct connections that drives these functional changes.
Determinants of antenatal care utilization – contacts and screenings – in Sao Tome & Principe: a hospital-based cross-sectional study
Authors: Vasconcelos Alexandra , Sousa Swasilanne , Bandeira Nelson , Alves Marta , Papoila Ana Luísa , Pereira Filomena , Machado Maria Céu 
Published: June 2023

Abstract
Background
Sao Tome & Principe (STP) has a high peri-neonatal mortality rate and access to high-quality care before childbirth has been described as one of the most effective means of reducing it. The country has a gap in the coverage-content of antenatal care (ANC) services that must be addressed to better allocate resources to ultimately improve maternal and neonatal health. Therefore, this study aimed to identify the determinants for adequate ANC utilization considering the number and timing of ANC contacts and screening completion.

Methods
A hospital based cross-sectional study was undertaken among women admitted for delivery at Hospital Dr. Ayres de Menezes (HAM). Data were abstracted from ANC pregnancy cards and from a structured face-to-face interviewer-administered questionnaire. ANC utilization was classified as partial vs adequate. Adequate ANC utilization was defined as having ANC 4 or more contacts, first trimester enrolment plus one or more hemoglobin tests, urine, and ultrasound. The collected data were entered into QuickTapSurvey and exported to SPSS version 25 for analysis. Multivariable logistic regression was used to identify determinants of adequate ANC utilization at P-value < 0.05.

Results
A total of 445 mothers were included with a mean age of 26.6 ± 7.1, an adequate ANC utilization was identified in 213 (47.9%; 95% CI: 43.3–52.5) and a partial ANC utilization in 232 (52.1%; 95% CI: 47.5–56.7). Age 20–34 [AOR 2.27 (95% CI: 1.28–4.04), p = 0.005] and age above 35 [AOR 2.5 (95% CI: 1.21–5.20), p = 0.013] when comparing with women aged 14–19 years, urban residence [AOR 1.98 (95% CI: 1.28–3.06), p < 0.002], and planned pregnancy [AOR 2.67 (95% CI: 1.6–4.2), p < 0.001] were the determinants of adequate ANC utilization.

Conclusion
Less than half of the pregnant women had adequate ANC utilization. Maternal age, residence and type of pregnancy planning were the determinants for adequate ANC utilization. Stakeholders should focus on raising awareness of the importance of ANC screening and engaging more vulnerable women in earlier utilization of family planning services and choosing a pregnancy plan, as a key strategy to improve neonatal health outcomes in STP.