Enhanced associations between subjective cognitive concerns and blood-based AD biomarkers using a novel EMA approach by Ángel García de la Garza, Caroline Nester, Cuiling Wang, Jacqueline Mogle, Nelson Roque, Mindy Katz, Carol A. Derby, Richard B. Lipton, Laura Rabin

“…The findings highlight the added value of EMA in capturing SCCs that could indicate early ADRD risk. …”
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Analysis of risk factors for perioperative hyperamylasemia in kidney transplant recipients by Yang Zhang, Liubing Xia, You Luo, Jinhua Zhang, Zoufu Tang, Xiaorong Chen, Ning Na

“…Variables such as gender, past medical history, relevant laboratory tests, and trough concentration of calcineurin inhibitors (CNIs) at the time of serum amylase maximum were collected for all patients. …”
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“Physicochemical characterization and microbial quality evaluation of Gracilaria tenuistipitata added crackers’’ by Ananya Raiyan, Md. Mohasin Hossain, Md. Ashrafuzzaman Zahid, Nazia Nawshad Lina, Suvasish Das Shuvo, Rashida Parvin

“…Principal component analysis (PCA) was performed to visualize the interconnection among 28 parameters and our top five principal components can explain 95.8 % data variability. The findings suggest that adding G. tenuistipitata to cracker formulations will enhance nutritional value and contribute to extended shelf life. …”
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Health-related quality of life in children born preterm at school age: the mediating role of social support and maternal stress by Melissa Liher Martínez-Shaw, Melissa Liher Martínez-Shaw, Kari Anne I. Evensen, Kari Anne I. Evensen, Kari Anne I. Evensen, Sandra Melero, Sandra Melero, Yolanda Sánchez-Sandoval, Yolanda Sánchez-Sandoval

“…Research on health-related quality of life (HRQoL) of school-aged children born preterm (< 37 weeks of gestational age) is scarce and there are few studies examining the relationship with medical and family factors. The aims were to analyze HRQoL in a sample of 8-year-old children born preterm with very low birth weight (VLBW), to test a proposed theoretical model that examines the relationship with medical and socio-family factors, and to explore the mediation effects of maternal factors between perinatal variables, demographic characteristics and HRQoL. …”
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Altered spontaneous brain activities in maintenance hemodialysis patients with cognitive impairment and the construction of cognitive function prediction models by Qing Sun, Jiahui Zheng, Yutao Zhang, Xiangxiang Wu, Zhuqing Jiao, Lifang Xu, Haifeng Shi, Tongqiang Liu

“…Comparisons of ALFF/fALFF/ReHo values among the three groups were calculated by using the DPABI toolbox, and then analyzing the correlation with clinical variables. p < .05 was considered a statistically significant difference. …”
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Development and validation of a prediction model for all-cause mortality in maintenance dialysis patients: a multicenter retrospective cohort study by Jingcan Wu, Xuehong Li, Hong Zhang, Lin Lin, Man Li, Gangyi Chen, Cheng Wang

“…Background The mortality risk varies considerably among individual dialysis patients. This study aimed to develop a user-friendly predictive model for predicting all-cause mortality among dialysis patients.Methods Retrospective data regarding dialysis patients were obtained from two hospitals. …”
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Factors related to Post Traumatic Stress Symptoms in Indonesian adults during quarantine of the COVID-19 pandemic by Nadya Nathalia Evangelista, Felix Wijovi, Sisilia Orlin, Stella Angelina, Devina Adella Halim, Claudia Jodhinata, Audrey Hamdoyo, Darien Alfa Cipta, Andree Kurniawan, Nata Pratama Hardjo Lugito

“…Conclusion: Age was related to the IES-R score, while the other five independent variables included in the linear regression analysis were found to be confounders in this study. …”
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Expert evaluation of ChatGPT accuracy and reliability for basic celiac disease frequently asked questions by Mohadeseh Mahmoudi Ghehsareh, Nastaran Asri, Mehdi Azizmohammad Looha, Amir Sadeghi, Carolina Ciacci, Mohammad Rostami-Nejad

“…Abstract Artificial Intelligence’s (AI) role in providing information on Celiac Disease (CD) remains understudied. This study aimed to evaluate the accuracy and reliability of ChatGPT-3.5 in generating responses to 20 basic CD-related queries. …”
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Polypharmacy and associated factors among patients with type two diabetes mellitus with comorbidity: a multicenter cross-sectional study in Northwest Ethiopia by Fasil Bayafers Tamene, Tirsit Ketsela Zeleke, Akalu Fetene Desalew, Getachew Yitayew Tarekegn, Ashenafi Kibret Sendekie, Selamawit Mengstu Tafere, Mekdes Kiflu, Tilaye Arega Moges, Fisseha Nigussie Dagnew, Samuel Agegnew Wondm

“…A multivariable logistic regression model was fitted to identify factors associated with polypharmacy. Variables with a p-value less than 0.05 at a 95% confidence interval were considered statistically significant. …”
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Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury by Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan

“…The AUC of the random forest (RF) model was the highest value both in the Ten-fold cross-validation and evaluation (AUC: 0.798, 95% CI: 0.774–0.821). …”
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Enhancing medication appropriateness: Insights from the STOPP (Screening Tool of Older Persons’ Prescriptions) criteria version 3 on prescribing practices among the older adults in... by Halima Sadia, Safila Naveed, Safila Naveed, Hina Rehman, Shazia Jamshed, Shazia Jamshed, Huma Dilshad

“…Statistical analysis was performed using IBM SPSS Statistics version 21. To find the variables linked to PIM use, multivariable logistic regression analysis was used. …”
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Developing a model to estimate the probability of bacteremia in women with community-onset febrile urinary tract infection by Won Sup Oh, Yeon-Sook Kim, Joon Sup Yeom, Hee Kyoung Choi, Yee Gyung Kwak, Jae-Bum Jun, Seong Yeon Park, Jin-Won Chung, Ji-Young Rhee, Baek-Nam Kim

“…Multiple logistic regression identified predictors associated with bacteremia among candidate variables chosen from univariate analysis. A prediction model was developed using all predictors weighted by their regression coefficients. …”
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Epidemiology of antimicrobial resistance in commensal Escherichia coli from healthy dairy cattle on a Mediterranean pasture-based system of Australia: A cross-sectional study by M. Tree, T.J.G.M. Lam, S. McDougall, D.S. Beggs, I.D. Robertson, A.L. Barnes, A. Chopra, R. Ram, C.A. Stockman, T.C. Kent, J.W. Aleri

“…ABSTRACT: This study aimed to determine the prevalence of antimicrobial resistance (AMR) in commensal Escherichia coli from healthy lactating cows and calves in the Mediterranean pasture-based feeding dairy system of Western Australia (WA). …”
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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

“…BackgroundMultifaceted factors play a crucial role in the prevention and treatment of metabolic dysfunction-associated steatotic liver disease (MASLD). This study aimed to utilize multifaceted indicators to construct MASLD risk prediction machine learning models and explore the core factors within these models.MethodsMASLD risk prediction models were constructed based on seven machine learning algorithms using all variables, insulin-related variables, demographic characteristics variables, and other indicators, respectively. …”
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Correlation of Moxifloxacin Concentration, C-Reactive Protein, and Inflammatory Cytokines on QTc Interval in Rifampicin-Resistant Tuberculosis Patients Treated with Shorter Regime... by Tutik Kusmiati, Ni Made Mertaniasih, Johanes Nugroho Eko Putranto, Budi Suprapti, Nadya Luthfah, Soedarsono Soedarsono, Winariani Koesoemoprodjo, Aryani Prawita Sari

“…Correlation for all variables was analyzed. Results: CRP, IL-1β, and QTc baseline showed significant differences between 45 RR-TB patients on intensive phase and continuation phase with p-value of <0.001, 0.040, and <0.001, respectively. …”
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Assessment of myocardial infarctions knowledge, attitudes and beliefs among adults living in Riyadh Saudi Arabia – insights from cross-sectional study by Wajid Syed, Osama Samarkandi, Abdulmajeed A. Alanazi, Nader Alotaibi, Mahmood Basil A. Al-Rawi

“…ANOVA and Student’s t-test were used to determine the association between variables, with a p-value of < 0.05 considered statistically significant. …”
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Efficacy and safety of dynamic neuromuscular stabilisation in treating chronic non-specific low back pain: a systematic review and meta-analysis protocol by Bin Huang, Linlin Zhang, Yu Pu, Xiaoming Xi, Hongyan Bi, Shifang Cui

“…This study, therefore, seeks to rigorously assess the therapeutic value and safety profile of DNS techniques in the management of CNLBP.Methods and analysis We will explicitly follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for conducting the systematic review. …”
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Association of visceral adiposity index (VAI) with prognosis in patients with metabolic syndrome and heart failure with reduced ejection fraction by Meiyin Wu, Weilin Lai, Xuan Huo, Qianru Wang, YueShengzi Zhou, Dongmei Gao

“…Multivariate COX regression analysis adjusted for other confounding factors showed that VAI was an independent predictor of clinical adverse endpoint events. The predictive value of VAI for cardiac death [Area under curve (AUC):0.649, 95%CI:0.602–0.697, P < 0.001] and heart failure readmission (AUC:0.693, 95%CI:0.656–0.729, P < 0.001) was higher than that of other variables. …”
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Assessing landslide susceptibility in the Upper Ravi river catchment, Himachal Pradesh, India: a comprehensive analysis using the logistic regression model by Pooja Sharma, Vishwa Bandhu Singh Chandel, Simrit Kahlon, Som Nath Thakur

“…Results The logistic regression model showed strong predictive capability with an AUC value of 0.855, indicating excellent model performance. …”
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Practice towards Hepatitis B Virus Infection Prevention and Its Associated Factors among Undergraduate Students at Hawassa University College of Medicine and Health Sciences, Hawas... by Amdehiwot Aynalem, Bedilu Deribe, Mohammed Ayalew, Abyalew Mamuye, Eskinder Israel, Andualem Mebratu, Dawit Getachew Assefa

“…Association between the dependent and independent variables was computed using the bivariate and multivariate logistic regression model. …”
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