The state of combined thoracoabdominal triple-organ transplantation in the United States by Emily G. Dunbar, BS, Ye In Christopher Kwon, BA, Matthew Ambrosio, MS, Inna F. Tchoukina, MD, Keyur B. Shah, MD, David A. Bruno, MD, Walker A. Julliard, MD, Josue Chery, MD, Vigneshwar Kasirajan, MD, Zubair A. Hashmi, MD

“…Background: As triple-organ transplantation (TOT) has become more common, we evaluate patient characteristics, risk factors, and clinical outcomes of patients undergoing thoracoabdominal TOT. …”
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Sex differences and determinants of coronary microvascular function in asymptomatic adults with type 2 diabetes by Jian L. Yeo, Abhishek Dattani, Joanna M. Bilak, Alice L. Wood, Lavanya Athithan, Aparna Deshpande, Anvesha Singh, J.Ranjit Arnold, Emer M. Brady, David Adlam, John D. Biglands, Peter Kellman, Hui Xue, Thomas Yates, Melanie J. Davies, Gaurav S. Gulsin, Gerry P. McCann

“…Following adjustment for clinical risk factors, inverse association with MPR were BMI in women (β = −0.17, p = 0.045) and systolic blood pressure in men (β = −0.14, p = 0.049). …”
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A new preprocedural predictive risk model for post-endoscopic retrograde cholangiopancreatography pancreatitis: The SuPER model by Mitsuru Sugimoto, Tadayuki Takagi, Tomohiro Suzuki, Hiroshi Shimizu, Goro Shibukawa, Yuki Nakajima, Yutaro Takeda, Yuki Noguchi, Reiko Kobayashi, Hidemichi Imamura, Hiroyuki Asama, Naoki Konno, Yuichi Waragai, Hidenobu Akatsuka, Rei Suzuki, Takuto Hikichi, Hiromasa Ohira

“…The PEP risk classification (low, moderate, and high) was a significant predictive factor for PEP that was independent of intraprocedural PEP risk factors (precut sphincterotomy and inadvertent pancreatic duct cannulation) (OR 4.2, 95% CI 2.8–6.3; p<0.01). …”
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Prevalence and factors associated with neonatal sepsis in Mali: a cross-sectional study by Bienvenu Salim Camara, Alexandre Delamou, Haoua Dembele, Hamadoun Sangho, Birama Apho Ly, Sidikiba Sidibé, Alioune Camara, Cheick Sidya Sidibé, Alhassane Diallo, Abdoulaye Touré, Fatoumata Bintou Traoré, Elhadj Marouf Diallo, Fatimata Yaro, Mariam Traoré

“…Objective This study aimed to assess the prevalence and risk factors for neonatal sepsis among neonates admitted to selected health facilities in the Bamako district and Koulikoro region in Mali.Design This is a prospective cross-sectional study. …”
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Clinical Characteristics of Virologically Confirmed Respiratory Syncytial Virus in English Primary Care: Protocol for an Observational Study of Acute Respiratory Infection by Uy Hoang, Utkarsh Agrawal, José Manuel Ordóñez-Mena, Zachary Marcum, Jennifer Radin, Andre Araujo, Catherine A Panozzo, Orsolya Balogh, Mihir Desai, Ahreej Eltayeb, Tianyi Lu, Catia Nicodemo, Xinchun Gu, Rosalind Goudie, Xuejuan Fan, Elizabeth Button, Jessica Smylie, Mark Joy, Gavin Jamie, William Elson, Rachel Byford, Joan Madia, Sneha Anand, Filipa Ferreira, Stavros Petrou, David Martin, Simon de Lusignan

“…We will estimate the incidence proportion of RSV, describe the clinical features, and risk factors of patients with RSV infection, and measure the economic burden of RSV infection. …”
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The application of a clinical-multimodal ultrasound radiomics model for predicting cervical lymph node metastasis of thyroid papillary carcinoma by Chang Liu, Chang Liu, Shangjie Yang, Shangjie Yang, Tian Xue, Qian Zhang, Qian Zhang, Yanjing Zhang, Yufang Zhao, Guolin Yin, Xiaohui Yan, Ping Liang, Liping Liu

“…Multivariate logistic regression analysis was used to identify the independent risk factors. FAE software was used for radiomic feature extraction and the construction of different prediction models. …”
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Evidence-based incorporation of key parameters into MELD score for acute-on-chronic liver failure by Jing Liu, Tao Li, Yi Zhou, Yuanyuan Chen, Hai Li, Yan Huang, Jing Li, Yu Shi, Xin Zheng, Yanhang Gao, Xinxin Liu, Weituo Zhang, Shan Yin, Xia Yu, Jifang Sheng, Zhiwei Li, Feng Liu, Guohong Deng, Jinjun Chen, Zhongji Meng, Zhiping Qian, Xiaobo Lu, Wenyi Gu, Qun Cai, Xiaobo Wang, Qun Zhang, Xue Mei, Wenting Tan, Jia Shang, Xinyi Zhou, Chang Jiang, Ruoqi Zhou, Beiling Li, Huadong Yan, Yubao Zheng, Xiaomei Xiang, Yixin Hou, Shue Xiong, Ruochan Chen, Liyuan Long, Xiuhua Jiang, Sen Luo, Jinming Zhao, Liujuan Ji, Rongjiong Zheng

“…The model was evaluated with a focus on discrimination and calibration.Results The meta-analysis incorporated 32 cohort studies with a total of 13 939 patients, of which 13 risk factors were identified, and 3 risk factors (age, neutrophil count and hepatic encephalopathy (HE) grade) besides MELD score were validated in 751 patients with ACLF derived from two prospective cohorts. …”
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Myostatin Levels and the Risk of Myopenia and Rheumatoid Cachexia in Women with Rheumatoid Arthritis by Fabiola Gonzalez-Ponce, Jorge Ivan Gamez-Nava, Eli Efrain Gomez-Ramirez, Melissa Ramirez-Villafaña, Heriberto Jacobo-Cuevas, Norma Alejandra Rodriguez-Jimenez, Eva Maria Olivas-Flores, Yussef Esparza-Guerrero, Alejandro Martelli-García, Aline Priscilla Santiago-Garcia, Cesar Arturo Nava-Valdivia, Alejandra Martinez-Hernandez, Sergio Antonio Gonzalez-Vazquez, Alfredo Celis, Carlos Enrique Cabrera-Pivaral, Sylvia Totsuka-Sutto, Ernesto German Cardona-Muñoz, Laura Gonzalez-Lopez

“…Multivariable logistic regression analysis was used to identify the risk factors for LSMM and rheumatoid cachexia. The risk was expressed as odds ratios (ORs) and their 95% confidence intervals (95% CIs). …”
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Environmental, socioeconomic, and sociocultural drivers of monkeypox transmission in the Democratic Republic of the Congo: a One Health perspective by Guangyu Lu, Zeyin Chong, Enyu Xu, Ce Na, Kaixuan Liu, Liying Chai, Pengpeng Xia, Kai Yang, Guoqiang Zhu, Jinkou Zhao, Olaf Müller

“…Therefore, this study aimed to investigate the risk factors for human mpox transmission at the human–animal–environment interface in the DRC. …”
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The potential benefits of radiotherapy in elderly patients with early-stage triple-negative breast cancer by Zheng Xu, Zheng Xu, Chengdong Qin, Binxiao Cao, Binxiao Cao, Pengcheng Ruan, Pengcheng Ruan, Mianhao Zhang, Mianhao Zhang, Guidong Chen, Guidong Chen

“…Statistical analyses involved chi-square tests, propensity score matching (PSM), and Cox regression to identify risk factors. A nomogram was developed, and Kaplan-Meier analysis compared overall (OS) and breast cancer-specific survival (BCSS) across different groups.ResultsA total of 3,024 elderly patients with early-stage TNBC were analyzed. …”
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Secondary aphakic glaucoma in children: a 15-year retrospective study by N.N. Sadovnikova, V.V. Brzheskiy, M.A. Zertsalova, A.Yu. Baranov

“…Statistically significant risk factors for the development of secondary glaucoma encompassed cataract extraction in children younger than 1 year of age, microcornea, additional intraocular surgical interventions, and aphakia. …”
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The prevalence of attention-deficit hyperactivity disorder and its associated factors among children in Ethiopia, 2024: a systematic review and meta-analysis by Molla Azmeraw, Dessie Temesgen, Amare Kassaw, Alemu Birara Zemariam, Gashaw Kerebeh, Gebremeskel Kibret Abebe, Addis Wondmagegn Alamaw, Biruk Beletew Abate

“…The studies that covered the prevalence and/or risk factors of ADHD in children were included in the collection. …”
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Comparison of Clinical Characteristics and Mortality Outcome in Critical COVID-19 Patients Infected with Alpha and Omicron Variants by Cheng HI, Chang KW, Wu BC, Teo MY, Hung WS, Wu HM, Huang ACC, Lin CW, Lin TY, Lin HC, Chiu CH, Lin SM

“…Patients with those risk factors may require intensive monitoring during their treatment course.Keywords: COVID-19, intensive care, CCI, Charlson Comorbidity Index, mortality…”
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Associations between age, red cell distribution width and 180-day and 1-year mortality in giant cell arteritis patients: mediation analyses and machine learning in a cohort study by Si Chen, Rui Nie, Xiaoran Shen, Yan Wang, Haixia Luan, Xiaoli Zeng, Yanhua Chen, Hui Yuan

“…In multivariate Cox regression analysis, both age and RDW (both with HR > 1, P < 0.05) also emerged as prognostic risk factors for 180-day and 1-year mortality in this patient population. …”
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Gambaran Status Gizi Pasien Tuberkulosis Anak di RSUP Dr. M. Djamil Padang by Chika Aulia Husna, Finny Fitry Yani, Machdawaty Masri Masri

“…It need socialization and information to the public about the dangers of tuberculosis in order to avoid the risk factors, especially on nutritional status.</em></p><p><strong><em>Keywords:</em></strong><em> tuberculosis of children, nutritional status, age, gender</em></p>…”
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Potentially inappropriate prescribing in hospitalised children: a retrospective, cross-sectional study at a tertiary children’s hospital in China by Linan Zeng, Lingli Zhang, Dan Yu, Huiqing Wang, Liang Huang, Siyu Li, Guo Cheng, Zhi-Jun Jia

“…Introduction For improving and optimising drug use in children, we previously developed a tool (including a series of criteria for identifying potentially inappropriate prescribing in children) by literature review and the two-round Delphi technique to prevent inappropriate medication prescriptions at the prescribing stage.Objective To assess the prevalence of potentially inappropriate prescription (PIP) among hospitalised children and explore risk factors associated with PIP.Design A retrospective cross-sectional study.Setting A tertiary children’s hospital in China.Participants Hospitalised children with complete medical records who received drug treatment and discharged from 1 January to 31 December 2021.Outcome measures We evaluated the medication prescriptions by using a series of previously developed criteria for detecting the prevalence of PIP in hospitalised children and used logistic regression to explore the risk factors (including sex, age, number of drugs, number of comorbidities, days of hospitalisation and admission departments) for PIP in children.Results A total of 87 555 medication prescriptions for 16 995 hospitalised children were analysed, and 19 722 PIPs were detected. …”
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Parental Mental Health and Child Maltreatment in the COVID-19 Pandemic: Importance of Sampling in a Quantitative Statistical Study by Lara Engelke, Claudia Calvano, Steffi Pohl, Sibylle Maria Winter, Babette Renneberg

“…To explain differences in the results between the 2 studies, we controlled for sociodemographic data, parent-related risk factors, and COVID-19–related experiences. …”
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Diagnostic value of the MZXBTCH scoring system for acute complex appendicitis by Tianyi Ma, Qian Zhang, Hongwei Zhao, Peng Zhang

“…Multivariate logistic regression analysis identified preoperative body temperature (odds ratio (OR) = 1.104; 95% confidence interval (CI) 1.067–1.143; P < 0.001), preoperative C-reactive protein (CRP) level (OR = 1.002; 95% CI 1.001–1.002; P < 0.001), lymphocyte percentage (OR = 0.994; 95% CI 0.990–0.996; P < 0.001), appendiceal fecal stones (OR = 1.127; 95% CI 1.068–1.190; P < 0.001), periappendiceal fat stranding (OR = 1.133; 95% CI 1.072–1.198; P < 0.001), and appendix diameter (OR = 1.013; 95% CI 1.004–1.022; P < 0.001) as independent risk factors for complex appendicitis. Using R programming, a nomogram based on these independent risk factors was constructed to derive MZXBTCH scores. …”
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Your period and your pregnancy, a cohort study of pregnant patients investigating the associations between menstruation and birth outcomes in Australia: study protocol by Miranda Davies-Tuck, Billie Bradford, Adrienne Gordon, Beverley Vollenhoven, Kirsten Rebecca Palmer, Kirstin Tindal, Caroline E Gargett, Fiona Cousins, Stacey Ellery

“…Introduction Early pregnancy care involves the screening and identification of women with risk factors for adverse pregnancy outcomes, including stillbirth or preterm birth, to tailor pregnancy care and interventions accordingly. …”
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Contribution of type 2 diabetes to major adverse cardiovascular events (MACE) in a long-term observational study with different stages of atherosclerosis by Arthur Mader, Dario Haeberli, Barbara Larcher, Jörn F. Dopheide, Christoph H. Saely, Christine F. Heinzle, Peter Amann, Marc Schindewolf, Andreas Festa, Heinz Drexel

“…Also, atherosclerosis grades predicted MACE (HR = 3.19 [2.75–3.70], p < 0.001) in univariate analyses, and also after multivariate adjustment for known cardiovascular risk factors, including T2DM (HR = 1.61 [1.31–1.98], p < 0.001). …”
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