Jose M. Moran 1,* , Laura Trigo-Navarro 2 , Esther Diestre-Morcillo 3 , Elena Pastor-Ramon 4 and Luis M. Puerto-Parejo 5
1 Nursing and Occupational Therapy College, University of Extremadura, 10001 Caceres, Spain
2 Área de Salud de Badajoz, Supervisora del Bloque Quirúrgico, Hospital Materno Infantil de Badajoz, Calle Violeta 3, 06010 Badajoz, Spain; 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。
3 Área de Salud de Badajoz, Banco de Sangre, Hospital Universitario de Badajoz, Av. de Elvas, s/n, 06080 Badajoz, Spain
4 Biblioteca Virtual de ciencias de la Salud de las Illes Balears (Bibliosalut), Ctra. De Valldemossa, 79, mòdul L+1, 07120 Palma, Spain; 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。
5 Gerencia del Área de Salud de Badajoz, Supervisor del Área de Investigación, Proyectos y Gestión, Av. de Huelva, 8, 06005 Badajoz, Spain; 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。
* Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。
Academic Editor: Yi-Chia Huang
Received: 22 January 2025
Revised: 6 February 2025
Accepted: 8 February 2025
Published: 11 February 2025
Citation: Moran, J.M.; Trigo-Navarro, L.; Diestre-Morcillo, E.; Pastor-Ramon, E.; Puerto-Parejo, L.M. Nutritional Interventions for Pressure Ulcer Prevention in Hip Fracture Patients: A Systematic Review and Meta-Analysis of Controlled Trials. Nutrients 2025, 17, 644. https://doi.org/10.3390/ nu17040644
Copyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/ licenses/by/4.0/)
Abstract: Background/Objective: Pressure ulcers represent a significant complication in patients with reduced mobility, such as those recovering from hip fractures. In the present study, we aimed to comprehensively assess the impact of oral nutritional interventions on the development of pressure ulcers in hip fracture patients via a systematic review and meta analysis of controlled studies evaluating the effectiveness of oral nutritional supplements compared with standard care. Methods: In accordance with PRISMA standards, this systematic review and meta-analysis of controlled studies evaluated the effectiveness of any type of oral nutritional supplements compared with standard care in hip fracture patients. The risk of bias was evaluated using the Cochrane ROB2 tool for randomized controlled trials and the ROBINS-1 tool for nonrandomized trials. Results: Fourteen studies (10 randomized controlled trials and 4 controlled trials) published since 1990 (n = 1648) were included. Oral nutritional supplementation was associated with a statistically significant decrease in the odds ratio of developing pressure ulcers in hip fracture patients (OR 0.54, 95% CI: 0.40–0.73, p < 0.001). Conclusions: The incidence and evolution of pressure ulcers can be improved by oral dietary supplementation in patients who have undergone hip fracture surgery. Accordingly, we propose that oral nutritional supplementation should be considered an essential component of comprehensive post-hip-fracture care.
Keywords: hip fracture; pressure ulcers; oral nutritional supplement; pressure sores; meta-analysis; wound healing; nutritional intervention
Guadalupe Gutiérrez-Esparza 1,2,* ,†, Mireya Martínez-García 3,† , Manlio F. Márquez-Murillo 2 , Malinalli Brianza-Padilla 3 , Enrique Hernández-Lemus 4,5,* and Luis M. Amezcua-Guerra 3,*
1 “Researcher for Mexico” Program under SECIHTI, Secretariat of Sciences, Humanities, Technology, and Innovation, Mexico City 08400, Mexico
2 Division of Diagnostic and Treatment Services, National Institute of Cardiology Ignacio Chávez, Mexico City 04510, Mexico; 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。
3 Department of Immunology, National Institute of Cardiology Ignacio Chávez, Mexico City 04510, Mexico; 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (M.M.-G.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (M.B.-P.)
4 Computational Genomics Division, National Institute of Genomic Medicine, Mexico City 14610, Mexico
5 Center for Complexity Sciences, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
*Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (G.G.-E.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (E.H.-L.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (L.M.A.-G.)
† These authors contributed equally to this work.
Academic Editor: Motoyuki Iemitsu Received: 11 February 2025 Revised: 3 March 2025 Accepted: 6 March 2025 Published: 17 March 2025
Citation: Gutiérrez-Esparza, G.; Martínez-García, M.; Márquez Murillo, M.F.; Brianza-Padilla, M.; Hernández-Lemus, E.; Amezcua Guerra, L.M. Tlalpan 2020 Case Study: Enhancing Uric Acid Level Prediction with Machine Learning Regression and Cross-Feature Selection. Nutrients 2025, 17, 1052. https://doi.org/ 10.3390/nu17061052
Abstract: Background/Objectives: Uric acid is a key metabolic byproduct of purine degradation and plays a dual role in human health. At physiological levels, it acts as an antioxidant, protecting against oxidative stress. However, excessive uric acid can lead to hyperuricemia, contributing to conditions like gout, kidney stones, and cardiovascular diseases. Emerging evidence also links elevated uric acid levels with metabolic disorders, including hypertension and insulin resistance. Understanding its regulation is crucial for preventing associated health complications. Methods: This study, part of the Tlalpan 2020 project, aimed to predict uric acid levels using advanced machine learning algorithms. The dataset included clinical, anthropometric, lifestyle, and nutritional characteristics from a cohort in Mexico City. We applied Boosted Decision Trees (Boosted DTR), eXtreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Shapley Additive Explanations (SHAP) to identify the most relevant variables associated with hyperuricemia. Feature engineering techniques improved model performance, evaluated using Mean Squared Error (MSE), Root-Mean-Square Error (RMSE), and the coefficient of determination (R²). Results: Our study showed that XGBoost had the highest accuracy for anthropometric and clinical predictors, while CatBoost was the most effective at identifying nutritional risk factors. Distinct predictive profiles were observed between men and women. In men, uric acid levels were primarily influenced by renal function markers, lipid profiles, and hereditary predisposition to hyperuricemia, particularly paternal gout and diabetes. Diets rich in processed meats, high-fructose foods, and sugary drinks showed stronger associations with elevated uric acid levels. In women, metabolic and cardiovascular markers, family history of metabolic disorders, and lifestyle factors such as passive smoking and sleep quality were the main contributors. Additionally, while carbohydrate intake was more strongly associated with uric acid levels in women, fructose and sugary beverages had a greater impact in men. To enhance model robustness, a cross-feature selection approach was applied, integrating top features from multiple models, which further improved predictive accuracy, particularly in gender-specific analyses. Conclusions: These findings provide insights into the metabolic, nutritional characteristics, and lifestyle determinants of uric acid levels, supporting targeted public health strategies for hyperuricemia prevention.
Keywords: uric acid; regression-based machine learning; feature selection; feature engineering; Mexico City; Tlalpan 2020 cohort
Authors
Ayelet Levy
Amit Gefen
Keywords
preclinical
Hong-Lin Chen
Bin Zhu
Rong Wei
Zhen-Yu Zhou
Geraldine M. Lambert
Issue: Volume 54 - Issue 6 - June, 2008
Joy E. Schank
Pressure Ulcer
Cathy L. Wogamon
quality improvement
Ryusuke Ae
Koki Kosami
Shinsuke Yahata
伤口世界平台生态圈,以“关爱人间所有伤口患者”为愿景,连接、整合和拓展线上和线下的管理慢性伤口的资源,倡导远程、就近和居家管理慢性伤口,解决伤口专家的碎片化时间的价值创造、诊疗经验的裂变复制、和患者的就近、居家和低成本管理慢性伤口的问题。
2019广东省医疗行业协会伤口管理分会年会
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