Results 91 to 100 of about 3,457 (204)
Through access to a lot of relevant information on the role of the rehabilitation nurse specialist functions, explore how rehabilitation specialist nurse qualifications provides a basis for our rehabilitation specialist nurse cultivating and development ...
Wang, Xiao-ping, Wu, Rui
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, 2019 类风湿关节炎（Rheumatoid arthritis,RA）是以侵蚀性、对称性多关节炎为主要表现的慢性、全身性自身免疫性疾病, 最终发展为关节畸形和功能丧失, 并损害心、肺、肾、神经等器官[1]。我国RA的发病率为0.32%～0.36%。该病具有病程长、复发率高、致残率高等特点,在临床上又被称为\"不死癌症\"[2],严重危害患者健康。该病治疗的目的是缓解疼痛,提高关节活动度,阻止残疾的发生。康复功能锻炼是降低国家自然科学基金资助项目(编号 ...
刘丽静 +6 more
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[Risk factors for early acute kidney injury after cardiac arrest in children in the pediatric intensive care unit and a prognostic analysis]. [PDF]
Zhongguo Dang Dai Er Ke Za Zhi, 2022 Zhang XP +5 more
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Qualitative studies on occupational stress experience and coping style in male nurses: a meta-integration [PDF]
, 2023 LIU Shuyang
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Zhongguo shiyan zhenduanxue, 2019 心脏监护室（CCU）是收治危重心脏病患者的特殊病房。近年来,中心静脉导管（CVC）已广泛应用于CCU,通过CVC对患者进行药物注射、血液透析、静脉营养支持等方面的治疗[1,2]。由于CCU中的患者机体免疫力较低,部分患者心功能不全,各脏器会发生并发症,住院时间一般较长,导管相关血流感染（CRBSI）发生率不断上升[3],增加患者的死亡风险。本研究选取2016年4月至2018年8月本院CCU并接受CVC的684例患者为研究对象 ...
桑海燕, 邱俊, 魏仲航
doaj
Current status of unplanned readmission of neonates within 31 days after discharge from the neonatal intensive care unit and risk factors for readmission. [PDF]
Zhongguo Dang Dai Er Ke Za Zhi, 2022 Zheng QM, Hua WZ, Zhou JX, Jiang LP.
europepmc +1 more source
A survey of knowledge of hand hygiene among clinical nurses [PDF]
目的 通过调查临床护士手卫生认知行为及态度，提高临床护理工作人员对手卫生的认识，增强手卫生的观念与实施力度；加强对临床护理人员手卫生的监督管理，提高临床护理人员手卫生的依从性，降低医院感染发生率。方法 抽取某医院120名在岗临床护士作为研究对象，采用无记名形式进行问卷调查，调查分析临床护士手卫生认知现状、手卫生认知行为和态度的影响因素，并提出改进措施。结果 护士手卫生知识平均得分31.46±2.08（占总分的92.53%）。不同性质科室间护士手卫生知识存在统计学差异（P=0.05 ...
Huang, Rong, Yin, Hong
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Huli yanjiu, 2008 摘要： （免费在线浏览）迟发性心包填塞是心脏直视手术后病人的一个严重并发症，大多在心脏直视手术后7 d至1个月发生心包腔积血、积液造成的心脏压塞。因发病时大多数病人从监护室转到普通病房，加之迟发性心包填塞症状不像急性心包填塞症状典型，往往易被漏诊、误诊而延误治疗。我科自2004年以来救治9例迟发性心包填塞病人。
李爱芹 +4 more
doaj
中西医结合护理Objective To investigate the medical staff’s cognitive experience of acute skin failure, and understand their knowledge level, attitude and behavior status in clinical practice.
JI Dandan (季丹丹) +3 more
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[Predicting prolonged length of intensive care unit stay via machine learning]. [PDF]
Beijing Da Xue Xue Bao Yi Xue Ban, 2021 Wu JY, Lin Y, Lin K, Hu YH, Kong GL.
europepmc +1 more source