Eleanor Turi,Karen B Lasater,K Jane Muir
Eleanor Turi
Objective: Patients with complex chronic wounds are at high risk for poor outcomes. This study assessed the relationship between nurse staffing and outcomes among patients with complex and noncomplex chronic wounds. [Figure: see text] Appro...
Long-Term Efficacy of Guideline-Followed Treatment in Patients with Livedoid Vasculopathy: A Single-Center Study [0.03%]
循证治疗雷诺五联征长期疗效观察：单中心研究
Carina Hillgruber,Carolin Mitschang,Maria Eveslage et al.
Carina Hillgruber et al.
Objective: Livedoid vasculopathy is a skin disease characterized by recurrent painful ulcerations of the lower leg leading to scar formation (atrophie blanche). Ulceration results from thrombosis of the cutaneous microcirculation and is oft...
Clinical Features and Mechanisms of Differential Wound Healing and Scarring Across Anatomical Sites [0.03%]
解剖位置特异的伤口愈合和瘢痕形成的临床特征及机制
Hanqi Yao,Serena L Jing,Kelly X Huang et al.
Hanqi Yao et al.
Significance: Fibrosis is associated with high rates of morbidity and mortality and poses a heavy burden on the health care system. Different regions of the body heal at different rates with varying degrees of fibrosis, with regions such as...
Improving Quality of Life in Patients with Malignant Wounds: Outcomes from a Specialized Wound Care Clinic [0.03%]
恶性伤口患者生活质量的改善：专科伤口治疗门诊的效果分析
Ian Nykaza,Anna Chen,Stephen Dusza et al.
Ian Nykaza et al.
Objective: Evaluate quality of life (QoL) of patients with malignant wounds at baseline and through the course of management at a dedicated malignant wound care clinic. Methods: Retrospective review of patients with malignant wounds seen at...
Artificial Intelligence in Pressure Injury Diagnosis: A Critical Appraisal for Clinical Practice [0.03%]
人工智能在压力性损伤诊断中的应用：临床实践批判性评价
Yuting Wei,Xiaodan Liu,Juhong Pei et al.
Yuting Wei et al.
Significance: Pressure injury is one of the most common health problems among hospitalized patients worldwide, and accurate and timely diagnosis is crucial for its treatment. Research on the application of artificial intelligence in the dia...
From Gene to Scar: Proteome-Wide Causal Insights into Keloid Pathogenesis and Prevention [0.03%]
从基因到瘢痕： keloid发生及预防的蛋白组因果关系研究初探
Yantao Xu,Jia-Chen Liu,Zixi Jiang et al.
Yantao Xu et al.
Objective: Keloids (KLs) and hypertrophic scars are common fibroproliferative disorders that cause significant functional and psychosocial distress. The lack of effective prevention and treatment strategies underscores the urgent clinical n...
Wound Healing and Management Considerations in the Pediatric Surgical Patient [0.03%]
儿科手术患者的伤口愈合与管理注意事项
Norah E Liang,Serena L Jing,Elijah J Suh et al.
Norah E Liang et al.
Significance: Wound healing in pediatric patients is affected by physiology, growth, and development considerations unique from those in adults. In the following report, we review the primary literature on aging and wound healing and highli...
Prognostic Nutritional Index as a Predictor of Mortality in Intensive Care Unit Patients with Pressure Injuries: Insights from a Large Cohort Study [0.03%]
营养预后指数在重症监护病房压力性损伤患者中的预后价值：一项大型队列研究的启示
Wen Gao,Jia-Tong Zhou,Ke Shi et al.
Wen Gao et al.
Objective: To investigate the association between the Prognostic Nutritional Index (PNI) and mortality risk in intensive care unit (ICU) patients with pressure injuries (PIs) to provide a basis for early risk stratification and clinical dec...
Getting Started on Artificial Intelligence in Health Care and Clinical Research: Includes Rigor Checklist for Authors and Reviewers [0.03%]
医疗保健和临床研究人工智能入门——作者及审稿人严谨性检查清单
Chandan K Sen,Deeptankar DeMazumder
Chandan K Sen
Artificial intelligence (AI) is rapidly transforming biomedical research and health care, offering new paradigms for discovery, diagnosis, and decision-making. This article provides a roadmap for researchers, clinicians, and reviewers seeki...
Getting Started on Artificial Intelligence in Health Care and Clinical Research: Includes Rigor Checklist for Authors and Reviewers [0.03%]
医疗保健和临床研究中人工智能的应用入门：作者及审稿人核查表包括
Chandan K Sen,Deeptankar DeMazumder
Chandan K Sen
Artificial intelligence (AI) is rapidly transforming biomedical research and health care, offering new paradigms for discovery, diagnosis, and decision-making. This article provides a roadmap for researchers, clinicians, and reviewers seeki...