Incidence and Predictive Model of Medical Adhesive–Related Skin Injury in Cancer Patients Managed With Central Venous Access Devices

医学 列线图 入射(几何) 一致性 病历 外科 中心静脉导管 回顾性队列研究 皮肤癌 癌症 导管 内科学 光学 物理
作者
Jieqiong Li,Nan Hao,Juan Han,Mi Zhang,Xiaomei Li
出处
期刊:Journal of Wound Ostomy and Continence Nursing [Lippincott Williams & Wilkins]
卷期号:50 (3): 209-213 被引量:7
标识
DOI:10.1097/won.0000000000000971
摘要

PURPOSE: The purpose of this study was to determine the prevalence of medical adhesive–related skin injury (MARSI) at the site of central venous access device (CVAD) implantation in patients with cancer, identify risk factors associated with MARSI in patients with cancer, and create a nomogram for predicting risk of MARSI. DESIGN: Retrospective, single-center study. SUBJECTS AND SETTING: The sample comprised 1172 consecutive patients who underwent CVAD implantation between February 2018 and February 2019; their mean age was 55.7 years (SD: 13.9). Data were collected at the First Affiliated Hospital of Xi'an Jiaotong University, located in Xi'an, China. METHODS: Demographic and pertinent clinical data were collected from patient records. Routine dressing changes were performed every 7 days for peripherally inserted central venous catheters (PICCs) or 28 days for ports except in patients with existing skin injuries. Skin injuries related to use of medical adhesives and persisting for more than for 30 minutes were classified MARSI. Data were used to develop a nomogram for predicting MARSI. The accuracy of the nomogram was verified by calculating the concordance index (C-index) and drawing a calibration curve. RESULTS: Among the 1172 patients, 330 (28.2%) had undergone PICC implantation, and 282 (24.1%) experienced 1 or more MARSIs representing an incidence rate of 1.7 events per 1000 CVAD days. Statistical analysis identified previous MARSI history, the need for total parenteral nutrition support, other catheter-related complications, a history of allergy, and PICC implantation as associated with a higher likelihood of developing for MARSI. Based on these factors, we established a nomogram for predicting the risk of developing MARSI in patients with cancer who underwent CVAD implantation. The C-index of the nomogram was 0.96, and the calibration curve of the nomogram showed that the predictive ability of the nomogram was strong. CONCLUSIONS: We evaluated patients with cancer who were undergoing CVAD and identified that previous MARSI history, patients needing total parenteral nutrition support, other catheter-related complications, allergic history, and PICC implantation (compared with ports) were associated with a higher likelihood for developing MARSI. The nomogram we developed showed a good ability for predicting the risk of developing MARSI and may assist nurses to predict MARSI in this population.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
HJJHJH发布了新的文献求助30
刚刚
hansJAMA发布了新的文献求助10
刚刚
YY完成签到,获得积分20
1秒前
白术发布了新的文献求助10
1秒前
火柴发布了新的文献求助10
2秒前
2秒前
chen发布了新的文献求助10
3秒前
阿呆盘阿瓜完成签到,获得积分10
4秒前
Suraim完成签到,获得积分10
5秒前
6秒前
fzzf完成签到,获得积分10
7秒前
科研通AI6.3应助追寻丹妗采纳,获得10
7秒前
YY发布了新的文献求助10
8秒前
chenqj完成签到 ,获得积分10
9秒前
bkagyin应助哈哈采纳,获得10
9秒前
guo发布了新的文献求助10
9秒前
津门霍元甲完成签到 ,获得积分10
11秒前
积极电脑完成签到 ,获得积分10
12秒前
归尘发布了新的文献求助10
13秒前
鸡蛋酱完成签到 ,获得积分10
14秒前
LeiYu完成签到 ,获得积分10
14秒前
16秒前
ANCY完成签到 ,获得积分10
17秒前
Akim应助归尘采纳,获得10
17秒前
科研通AI2S应助傻傻的霆采纳,获得10
18秒前
像风一样自由完成签到 ,获得积分10
19秒前
寻雯静应助70采纳,获得30
20秒前
22秒前
科研通AI6.4应助火柴采纳,获得10
22秒前
23秒前
传奇3应助紧张的毛衣采纳,获得10
24秒前
closer完成签到 ,获得积分10
24秒前
张斯瑞完成签到,获得积分10
26秒前
爱笑的断缘完成签到,获得积分10
27秒前
27秒前
27秒前
hanatae完成签到,获得积分10
29秒前
鲤鱼平安发布了新的文献求助10
29秒前
30秒前
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7494505
求助须知:如何正确求助?哪些是违规求助? 9085914
关于积分的说明 19377995
捐赠科研通 7106346
什么是DOI,文献DOI怎么找? 3249749
关于科研通互助平台的介绍 2419147
邀请新用户注册赠送积分活动 2235461