已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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
Summer发布了新的文献求助30
1秒前
zls发布了新的文献求助10
2秒前
Ava应助雪白的稀采纳,获得10
3秒前
4秒前
月亮发布了新的文献求助10
4秒前
kjinm发布了新的文献求助10
7秒前
王耀武完成签到,获得积分10
7秒前
Lr发布了新的文献求助10
9秒前
chen完成签到,获得积分10
10秒前
ASH完成签到,获得积分10
11秒前
所所应助jackie采纳,获得10
12秒前
scwang完成签到 ,获得积分10
14秒前
14秒前
14秒前
14秒前
yz应助科研通管家采纳,获得10
15秒前
科研通AI2S应助Summer采纳,获得10
15秒前
隐形曼青应助科研通管家采纳,获得10
15秒前
思源应助科研通管家采纳,获得10
15秒前
15秒前
wanci应助科研通管家采纳,获得10
15秒前
科研通AI6.4应助skyler采纳,获得10
15秒前
王耀武发布了新的文献求助10
15秒前
英俊的铭应助科研通管家采纳,获得10
15秒前
15秒前
李健应助科研通管家采纳,获得10
15秒前
Orange应助科研通管家采纳,获得10
16秒前
吱吱吱吱完成签到 ,获得积分10
16秒前
SciGPT应助科研通管家采纳,获得10
16秒前
说好不吃肥肉的完成签到 ,获得积分10
16秒前
16秒前
17秒前
科研通AI6.2应助Summer采纳,获得10
19秒前
19秒前
脑洞疼应助shadowj1020采纳,获得10
20秒前
zzzxxx发布了新的文献求助10
21秒前
21秒前
zls完成签到,获得积分10
21秒前
雪白的稀发布了新的文献求助10
23秒前
超级的芷荷完成签到 ,获得积分10
23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
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
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 7661944
求助须知:如何正确求助?哪些是违规求助? 9232003
关于积分的说明 19853957
捐赠科研通 7230082
什么是DOI,文献DOI怎么找? 3282069
关于科研通互助平台的介绍 2441540
邀请新用户注册赠送积分活动 2282790