Construction of a prediction model for sarcopenic obesity based on machine learning by Mengru Xu, Mengru Xu, Jia Liu, Jia Liu, Song Hu, Song Hu, Tongxiao Luan, Tongxiao Luan, Yuting Duan, Yuting Duan, Aohua Wang, Aohua Wang, Ziwei Cui, Ziwei Cui, Jing Zhou, Yongjun Mao, Yongjun Mao

“…SO has become a serious and critical public health concern. This study aimed to develop and validate predictive models using machine learning (ML) to identify SO in patients.MethodsData from 386 participants collected at the Affiliated Hospital of Qingdao University were divided into an 8:2 ratio, with 80% used for training and 20% for testing. …”
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Improved estimation of soil organic carbon stock in subtropical cropland of Southern China based on digital soil mapping and multi-sources data by Bifeng Hu, Qian Zhu, Modian Xie, Yibo Geng, Yali Wen, Shuhan Peng, Yanru Qiu, Xiya Jin, Pengbo Zhang, Hongyi Li, Zhou Shi

“…Additionally, the mean value of SOCD significantly decreased from 3.23 in the 1980s to 2.95 kg m−2 in the 2010s. …”
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Automated Assessment of the Pulmonary Artery-to-Ascending Aorta Ratio in Fetal Cardiac Ultrasound Screening Using Artificial Intelligence by Rina Aoyama, Masaaki Komatsu, Naoaki Harada, Reina Komatsu, Akira Sakai, Katsuji Takeda, Naoki Teraya, Ken Asada, Syuzo Kaneko, Kazuki Iwamoto, Ryu Matsuoka, Akihiko Sekizawa, Ryuji Hamamoto

“…However, vascular diameters are measured manually by examiners, which causes intra- and interobserver variability in clinical practice. In the present study, we aimed to develop an artificial intelligence-based method for the standardized and quantitative evaluation of 3VV. …”
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Prevalence and impact of sociodemographic factors, comorbidities, and lifestyle on diabetes complications among patients with type 2 diabetes in Riyadh by Othman AlOmeir, Mansour Almuqbil, Nawaf Fahad Alotaibi, Faisal Rashed Nawar Alotaibi, Wael Rashad Alnazer, Luay Khaled Alenazi, Fahad Nasser Alotaibi, Hussein Abdullah Otaif, Walaa F. Alsanie, Abdulhakeem S. Alamri, Majid Alhomrani, Amal F. Alshammary, Syed Mohammed Basheeruddin Asdaq

“…Data were collected via a validated bilingual questionnaire that captured sociodemographic information, diabetes-related variables, comorbid conditions, lifestyle habits, and complications. …”
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How Useful Are Instrumental Examinations in Newly Diagnosed Children with ASD? Insights from Real-World Practice by Marilia Barbosa de Matos, Vittoria Vendrametto, Federica Molaschi, Federica Graziano, Martina Vacchetti, Barbara Svevi, Benedetto Vitiello, Daniele Marcotulli, Giuliana Delia, Franco Fioretto, Andrea Martinuzzi, Chiara Davico

“…Medical comorbidities are common and often lead to instrumental examinations; however, the clinical utility of routinely performing such tests remains uncertain. This study aimed to assess the practical value of instrumental assessments in ASD by examining both prescribing behaviors and the prevalence of abnormal findings in a sample of autistic children. …”
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Impact of preoperative nutritional impairment on physical function early after total hip arthroplasty by Tsutomu Fujita, Satoshi Hamai, Toshimi Konishi, Kazuya Okazawa, Yuki Nasu, Daisuke Hara, Shinya Kawahara, Ryosuke Yamaguchi, Taishi Sato, Ken Utsunomiya, Goro Motomura, Kenichi Kawaguchi, Yasuharu Nakashima

“…Group comparisons were made based on GNRI scores, and a multiple regression analysis was conducted using preoperative muscle strength ratio and postoperative comfortable walking speed as outcome variables. Receiver operating characteristic curves determined a preoperative GNRI cut-off value for achieving a postoperative comfortable walking speed of 0.8 m/s. …”
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Nomogram to screen older adult patients attending the radiology department for sarcopenia by Guiying Yuan, Guoxi Ye, Jianguang Hu, Huimin Hu, Chanmei Shi, Ye Zhang, Junbing Huang, Zhiqiong Li, Xuwen Zeng, Rongshao Tan, Yuchao Xiong

“…However, it is often overlooked in clinical practice. Therefore, we aim to construct a nomogram based on simplified discriminant parameters for screening older adult patients for sarcopenia risk. …”
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Spiritual care competence and associated factors among nurses: a multi-center cross-sectional study by Yalemwork Getahun Azanaw, Ashenafi Worku Woretaw, Tiruye Azene, Desalegn Getachew Ayele, Tsehayu Melak Siyoum, Tizita Gebeyehu, Kalkidan Bazezew, Kassye Ahmed Zeleke, Esayas Alemsht, Sintayehu Simie Tsega, Melkamu Tilahun Dessie, Ashenafi Fekad Getahun, Astewil Moges Bazezew

“…Factor analysis revealed significant associations between spiritual care competence and variables such as sex, working unit, training, and the current role of nurses. …”
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The neutrophil-to-lymphocyte ratio (NLR) can predict the presence of bacterial infections in hospitalized patients with decompensated cirrhosis. by Paloma M. Diego-Salazar, Diego F. Abendaño-Rivera, Cristian Y. Sánchez-Sánchez, Karina Cazarín-Chávez, Kevin S. Vázquez-Hernandez, Fátima Higuera-de-la-Tijera

“…A p-value <0.01 was considered significant. Results: A total of 183 patients were included in the study. …”
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All-Cause Mortality Risk in Elderly Patients with Femoral Neck and Intertrochanteric Fractures: A Predictive Model Based on Machine Learning by Min A, Liu Y, Fu M, Hou Z, Wang Z

“…There were 3 variables that remained in the model for femoral neck fractures: age (HR 1.145, 95% CI 1.097– 1.196, P &lt; 0.001), HbA1c (HR 1.264, 95% CI 1.088– 1.468, P = 0.002), BNP (HR 1.001, 95% CI 1.000– 1.002, P = 0.019). …”
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A Clinical Nomogram for Predicting Substandard Serum Valproic Acid Concentrations in Chinese Patients With Epilepsy by Zi-Hao Duan, MS, Chun-Yuan He, MS, Jie Chen, BS, Jun-Jie Jiang, BS, Zhi-Xiang Zhu, PhD, Jing Li, MS, Fa-Cai Wang, MD

“…For the training cohort, serum VPA concentrations below 50 µg/mL and between 50 and 100 µg/mL were classified into the subtherapeutic group and therapeutic group, respectively. The variables were selected from the clinical data, and differences between the variables of the subtherapeutic and therapeutic groups were analyzed. …”
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Prevalence and factors associated with hepatitis B and C virus infections among female Sex workers in Ethiopia: Results of the national biobehavioral Survey, 2020. by Birra Bejiga Bedassa, Gemechu Gudeta Ebo, Jemal Ayalew Yimam, Jaleta Bulti Tura, Feyiso Bati Wariso, Sileshi Lulseged, Getachew Tollera Eticha, Tsigereda Kifle Wolde, Saro Abdella Abrahim

“…Descriptive statistics (frequencies and proportions) were used to summarize data on the study variables. Bivariable and multivariable logistic regression analyses were conducted to determine the strength of association between independent variables (risk factors) and the outcome (hepatitis B and C virus infection). …”
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PD-1/PD-L1 inhibitors monotherapy vs. combination therapy in elderly advanced NSCLC: a real-world study and nomogram for survival prognosis by Yunye Mao, An Wang, Xiangwei Ge, Jinzhao Zhai, Yi Hu, Jinliang Wang

“…A prognostic nomogram integrating treatment type, ECOG PS score, and other six variables had an AUC value of 0.70–0.71 for predicting 1–2 year OS. …”
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Effect of Ticagrelor on Glycaemic Parameters and Inflammatory Mediators in High Fat Diet and Streptozotocin Induced Diabetic Rats: An Experimental Study by Sachin Patel, Nayana K Hashilkar, Vidya Mahalmani

“…Data were presented as Mean±Standard Error of the Mean (SEM). A p-value ≤0.05 was considered statistically significant. …”
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Higher Ultra-Processed Food (UPF) Intake Is Associated with Poorer Overall Dietary Quality Compared to Lower UPF Intake: Results from a Pilot Study by Marios Skordis, Maria Ioannidou, Dionisia Sarakini, Tereza Santeladze, Afroditi Korogiannaki, Evaggelia Fappa

“…For the present analysis, participants were grouped into those with a lower (LUPFI) and those with a higher UPF intake (HUPFI), using the median (Mdn) value as a cut-off. Differences between groups were examined, using the chi-square test for qualitative variables, and the independent samples t and Mann–Whitney tests for quantitative parametric and non-parametric variables, respectively. …”
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Vitamin D as a Key Mediator Between C-reactive Protein to Albumin Ratio and Congestive Heart Failure in an Elderly Population: An Innovative Exploration Using the NHANES Database by Yufeng Wei, Zhaofeng Zhang

“…Pearson correlation evaluated bivariate relationships between continuous variables (vitamin D, CAR), while Spearman correlation assessed associations between the dichotomous CHF status and continuous variables (vitamin D, CAR). …”
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Abstract 013: Infarct density: a novel imaging biomarker of long‐term functional outcome after endovascular thrombectomy by Christopher G. Favilla, Heta Patel, Mohammad Hossein Abassi, Jesse Thon, Michael T. Mullen, Scott E. Kasner, Jae W. Song, Stephanie Cummings, Steven R. Messe

“…This technique may hold value as a surrogate outcome measure in early phased clinical trials.…”
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Evaluating the Effects of Sensorimotor Training on the Physical Capacities of Older People by Carolina A. Cabo, Víctor Hernández-Beltrán, Orlando Fernandes, Cláudia Mendes, José M. Gamonales, Mário C. Espada, José A. Parraca

“…Objective: This study aimed to assess the effects of sensorimotor training intervention in older adults. …”
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The Acidemia Index: A Near Real-Time Risk Analytics Algorithm is Associated With Measured Acidemia in Pediatric Critical Care Patients, a Multi-Center Validation Study by Ahmed Asfari, MD, Avihu Z. Gazit, MD, Craig Futterman, MD, Robert B. Kelly, MD, Andrew Macfadyen, MD, David S. Copper, MD, Joshua W. Salvin, MD, Adam Szadkowski, MD, Santiago Borasino, MD, Joshua Wolovits, MD, Hayden J. Zaccagni, MD

“…In this large pediatric cohort, higher ACD index values were associated with a higher likelihood of having acidemia. …”
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Effect of Hypertensive Disorders of Pregnancy (HDP) on maternal and perinatal birth outcomes in Eastern Ethiopia: a prospective cohort study by Ebisa Zerihun, Firaol Girma, Nimona Amena, Wubet Tazeb Wondie, Belete Feyera Olkaba, Lemma Mideksa Egu, Solomon Seyife Alemu, Gemechu Gelan Bekele, Belay Tafa Regassa, Meseret Robi Tura, Fekadu Abera Kebede

“…Binary logistic regression was run to produce risk ratios (relative risk) and 95% confidence intervals along with their p-values were calculated in the bivariate and multivariable analyses. …”
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