Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study by Katerina Lawrie, Petr Waldauf, Peter Balaz, Radoslav Bortel, Ricardo Lacerda, Emma Aitken, Krzysztof Letachowicz, Mario D’Oria, Vittorio Di Maso, Pavel Stasko, Antonio Gomes, Joana Fontainhas, Matej Pekar, Alena Srdelic, VAVASC Study Group, Stephen O’Neill

“…A prospective multicentre international study (NCT04796558) with patient recruitment from March 2021-July 2024. Demographics, risk factors, vessels parameters, types of predicted and created VA (pVA, cVA) were collected. …”
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Noninvasive diagnosis model for predicting significant liver inflammation in patients with chronic hepatitis B in the immune-tolerant phase by Shanshan Chen, Lu Huang, Yili Chu, Jiangshan Lian, Hui Shao, Tingting Wang, Xuehan Zou, Haijun Huang

“…Then the least absolute shrinkage and selection operator and multivariable logistic regression were used to identify the significant independent risk factors and establish a predictive model. A diagnostic nomogram was constructed. …”
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Rationale, Design, and Baseline Characteristics of Beijing Prediabetes Reversion Program: A Randomized Controlled Clinical Trial to Evaluate the Efficacy of Lifestyle Intervention... by Yingying Luo, Sanjoy K. Paul, Xianghai Zhou, Cuiqing Chang, Wei Chen, Xiaohui Guo, Jinkui Yang, Linong Ji, Hongyuan Wang

“…Beijing Prediabetes Reversion Program (BPRP) would evaluate whether intensive lifestyle modification and/or pioglitazone could revert prediabetic state to normoglycemia and improve the risk factors of CVD as well. Methods. BPRP is a randomized, multicenter, 2 × 2 factorial design study. …”
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All-Cause Mortality Prediction in Subjects with Diabetes Mellitus Using a Machine Learning Model and Shapley Values by Oana Mirea, Mostafa Ghelich Oghli, Oana Neagoe, Mihaela Berceanu, Eugen Țieranu, Liviu Moraru, Victor Raicea, Ionuț Donoiu

“…Background/Objectives: Diabetes mellitus (DM) is a prevalent disease with an increased risk of complications. Identifying risk factors for mortality in these patients is crucial, as early recognition can facilitate prompt therapeutic intervention. …”
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Differential gene expression profile in Porphyromonas gingivalis treated human gingival keratinocytes and their role in the development of HNSCC by Dakshinya M, Anitha P, A.S. Smiline Girija, Paramasivam A, Vijayashree Priyadharsini J

“…Background: Periodontitis is considered to be one of the major risk factors associated with cancers of the oral cavity. …”
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Femoral Head Pathology in Subcapital Hip Fractures: Clinical Value and Cost-Effectiveness in a 230-Patient Case Series by Nissim Ohana, Omer Marom, David Segal, Refael Behrbalk, Yuval Ben-Sira, Alex Tavdi, Ezequiel Palmanovich, Eyal Yaacobi

“…These findings suggest that routine pathology may not be cost-effective and support the adoption of selective screening approaches based on clinical risk factors such as a history of malignancy or atypical fracture presentations.…”
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Prevalence and risk implications of Hepatitis B and C Viruses in a University community in Lagos, Nigeria by Oluwaseyi Ashaka, Chinyere Ezeanya-Bakpa, Fehintiola Olukoya, Caleb Awodesu, Oluwademilade Abdulkadir, Philip Mbata, Faithfulness Yangs, Abimbola Orukotan

“…HBsAg and anti-HCV were detected among an asymptomatic group of students aged 16 -21 years with associated risk factors. This group must be considered as a high-risk group for viral hepatitis infection intervention. …”
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The Association between HbA1c and Cardiovascular Disease Markers in a Remote Indigenous Australian Community with and without Diagnosed Diabetes by Luke W. Arnold, Wendy E. Hoy, Suresh K. Sharma, Zhiqiang Wang

“…Almost all traditional CVD risk factors showed a positive association with HbA1c. …”
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Extrapolating Prognostic Factors of Primary Curative Resection to Postresection Recurrences Hepatocellular Carcinoma Treatable by Radiofrequency Ablation by Hui Ma, Zhongchen Li, Jia Yuan, Lan Zhang, Xiaoying Xie, Xin Yin, Rongxin Chen, Zhenggang Ren

“…On multivariate analyses, the pathologic tumor grade (p=0.026 and p=0.038) and recurrence-free survival after primary curative resection (p=0.028 and p<0.001) emerged as independent risk factors of survival and HCC recurrence. Conclusions. …”
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Prognostic value of tumor‐infiltrating lymphocytes and PD‐L1 expression in esophageal squamous cell carcinoma by Jie Hu, Takeshi Toyozumi, Kentaro Murakami, Satoshi Endo, Yasunori Matsumoto, Ryota Otsuka, Tadashi Shiraishi, Shinichiro Iida, Hiroki Morishita, Tenshi Makiyama, Yuri Nishioka, Masaya Uesato, Koichi Hayano, Akira Nakano, Hisahiro Matsubara

“…Conclusion Tumor depth, CD8, and PD‐L1 TC were independent prognostic factors in ESCC, and a predictive nomogram with these three risk factors improved the accuracy of predicting OS in patients with ESCC after surgical resection. …”
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Efficacy of Wii-Fit on Static and Dynamic Balance in Community Dwelling Older Veterans: A Randomized Controlled Pilot Trial by Kalpana P. Padala, Prasad R. Padala, Shelly Y. Lensing, Richard A. Dennis, Melinda M. Bopp, Christopher M. Parkes, Mark K. Garrison, Patricia M. Dubbert, Paula K. Roberson, Dennis H. Sullivan

“…Balance problems are well-established modifiable risk factors for falls, which are common in older adults. …”
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Effect and Safety of Pioglitazone-Metformin Tablets in the Treatment of Newly Diagnosed Type 2 Diabetes Patients with Nonalcoholic Fatty Liver Disease in Shaanxi Province: A Random... by Fu Jianfang, Xiao Wanxia, Gao Xiling, Xu Jing, Yang Wenjuan, Liu Jianrong, He Qingzhen, Ma Kaiyan, Lian Jingxuan, Chen Taixiong, Xu Qian, Li Mengying, Ming Jie, Ji Qiuhe

“…Logistic regression analysis found that BMI is one of the risk factors for fatty liver. There was also no significant difference in the incidence of serious adverse events between the two groups (control group: 10.00% and test group: 6.67%, P=0.74). …”
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Application of quality control circle activities for implementation of Traditional Chinese Medicine nursing for ICU patients (提高ICU患者中医护理操作实施率的品管圈实践)... by ZHANG Lijuan (张丽娟), CAI Shujun (蔡书君), PAN Wenting (潘文婷), CHENG Jingjing (成晶晶)

“…Methods A QCC team was established and risk factors of low implementation rate of TCM nursing were analyzed. …”
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Incidence and Contributing Factors of Persistent Hyperglycemia at 6–12 Weeks Postpartum in Iranian Women with Gestational Diabetes: Results from LAGA Cohort Study by Sedigheh Nouhjah, Hajieh Shahbazian, Nahid Shahbazian, Alireza Jahanshahi, Shayesteh Jahanfar, Bahman Cheraghian

“…Overall incidence of early postpartum glucose intolerance was 22.2% (95% CI, 16.3–29.0), 17.6% prediabetes (95% CI, 12.3–24.1) and 4.5% diabetes (95% CI, 2.0–8.8%). Independent risk factors for glucose intolerance were FPG ≥ 100 at the time of OGTT (OR 3.86; 95% CI; 1.60–9.32), earlier diagnosis of GDM (OR 0.92; 95% CI; 0.88–0.97), systolic blood pressure (OR 1.02; 95% CI; 1.002–1.04), and insulin or metformin therapy (OR 3.14; 95% CI; 1.20–8.21). …”
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Acute Kidney Injury after Major Abdominal Surgery: A Retrospective Cohort Analysis by Catarina Teixeira, Rosário Rosa, Natacha Rodrigues, Inês Mendes, Lígia Peixoto, Sofia Dias, Maria João Melo, Marta Pereira, Henrique Bicha Castelo, José António Lopes

“…We analyzed the incidence, risk factors, and prognosis of acute kidney injury (AKI) in a cohort of patients undergoing major abdominal surgery. …”
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Novel metabolic prognostic score for predicting survival in patients with cancer by Jinyu Shi, Chenan Liu, Xin Zheng, Yue Chen, Heyang Zhang, Tong Liu, Qi Zhang, Li Deng, Hanping Shi

“…Five of the 19 hematological indexes, including hemoglobin, neutrophils, direct bilirubin, albumin, and globulin, were selected as the evaluation indicators of metabolic disorder burden and independent risk factors for prognosis in cancer patients. Patients with a higher metabolic disorder burden had poorer survival rates. …”
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Janus kinase inhibitor treatment for inflammatory diseases: excess or no excess risk of venous thromboembolism? by Yachar Dawudi, Samuel Benarroch, Hélène Helfer, David M. Smadja, Isabelle Mahé

“…However, limitations have to be acknowledged: pharmacovigilance data are declarative and subject to bias, VTE was a secondary outcome in the ORAL study, with noncomparable VTE risk factors between groups and increased thrombosis risks only at high doses of tofacitinib. …”
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Pulmonary fibrosis in patients with autoimmune pulmonary alveolar proteinosis: a retrospective nationwide cohort study by Yoann Guirriec, David Luque-Paz, Gontran Bernard, Axelle Mabo, Mallorie Kerjouan, Cédric Ménard, Delphine Monnier, Hilario Nunes, Yurdagül Uzunhan, Martine Reynaud-Gaubert, Julien Bermudez, Raphaël Borie, Bruno Crestani, Julie Traclet, Lidwine Wémeau-Stervinou, Cécile Chenivesse, Emmanuel Gomez, Grégoire Prévot, Arnaud Bourdin, Benjamin Bondue, Anne Bergeron, Vincent Cottin, Mathieu Lederlin, Stéphane Jouneau

“…Data about fibrosis prevalence and risk factors are lacking. Methods In this retrospective multicentre nationwide cohort, we included patients newly diagnosed with aPAP between 2008 and 2018 in France and Belgium. …”
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Using nasal sprays to prevent respiratory tract infections: a qualitative study of online consumer reviews and primary care patient interviews by Paul Little, Katherine Bradbury, Lucy Yardley, Adam W A Geraghty, Ben Ainsworth, Kate Greenwell, Deb Smith, Laura Dennison, Sian Williamson, James Denison-Day, Fiona Mowbray, Samantha Richards-Hall

“…Interview transcripts were analysed using thematic analysis.Setting Primary care, UK.Participants 407 online customer reviews. 13 purposively recruited primary care patients who had experienced recurrent infections and/or had risk factors for severe infections.Results Both studies identified various factors that might influence nasal spray use including: high motivation to avoid RTIs, particularly during the COVID-19 pandemic; fatalistic views about RTIs; beliefs about alternative prevention methods; the importance of personal recommendation; perceived complexity and familiarity of nasal sprays; personal experiences of spray success or failure; tolerable and off-putting side effects; concerns about medicines; and the nose as unpleasant and unhygienic.Conclusions People who suffer disruptive, frequent or severe RTIs or who are vulnerable to RTIs are interested in using a nasal spray for prevention. …”
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Predicting home delivery and identifying its determinants among women aged 15–49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016–2023: a machine... by Adem Tsegaw Zegeye, Binyam Chaklu Tilahun, Makida Fekadie, Eliyas Addisu, Birhan Wassie, Berihun Alelign, Mequannet Sharew, Nebebe Demis Baykemagn, Abdulaziz Kebede, Tirualem Zeleke Yehuala

“…Conclusion The random forest machine learning model provides greater predictive power for estimating home delivery risk factors. To reduce the prevalence of home delivery, this finding recommends to emphasis on improving antenatal care services, education, and awareness about health facility delivery.…”
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