基于COSMIN指南对癌症患者支持性照护需求量表的系统评价

背景国内外用于评估癌症患者支持性照护需求的量表较多，但有关此类量表质量的标准化评价研究及不同量表间的横向比较研究较为缺乏，也少有研究者对此类量表的测量特性进行系统的整合与评价。目的评价中文版癌症患者支持性照护需求量表的测量学性能及研究的方法学质量。方法2021年4月检索中国知网、万方数据知识服务平台、维普中文科技期刊全文数据库、中国生物医学文献数据库、PubMed、EmBase、Web of Science、CINAHL Complete数据库，获取有关中文版癌症患者支持性照护需求量表测量学性能评价的研究，检索时限均为建库至2021年3月30日。由两位研究者独立筛选文献、提取资料后，采用健康测量工具遴选标准（COSMIN）系统综述指南，在对量表的测量特性及研究的方法学质量进行评价的基础上，综合评定中文版癌症患者支持性照护需求评估量表各测量特性的证据等级，并形成对于量表的最终推荐意见。采用描述分析法对评价结果进行汇总、分析。结果共纳入15项研究，涉及8个中文版癌症患者支持性照护需求评估量表〔癌症患者支持性照护需求简明问卷中文版（SCNS-SF34）、中文版支持性照护需求筛查工具（SCNS-ST9-C）、癌症患者综合需求评估量表（CNAT）、癌症需求简明问卷（CNQ-SF）、中文版癌症患者未满足需求量表（CaSUN-C）、癌症患者未满足需求简明量表（SF-SUNS）、晚期癌症患者需求评估问卷（ACNQ-41）、晚期癌症患者需求评估表简表（ACNQ-29）〕。就量表的测量特性质量而言，除ACNQ-29的内容效度为"未提及"外，其余7个量表的内容效度均为"不确定"；除CaSUN-C、SF-SUNS的结构效度为"充分"外，其余6个量表的结构效度均为"不确定"；SCNS-SF34、CNQ-SF、CaSUN-C、SF-SUNS的内部一致性为"充分"，ACNQ-41的内部一致性为"不充分"，其余3个量表的内部一致性为"不确定"；CNAT、CNQ-SF、ACNQ-29的假设检验为"未提及"，CaSUN-C、SF-SUNS、ACNQ-41的假设检验为"不确定"，SCNS-SF34、SCNS-ST9-C的假设检验为"充分"；除ACNQ-41的稳定性为"不充分"，SCNS-ST9-C、ACNQ-29的稳定性为"未提及"外，其余5个量表的稳定性均为"充分"；仅SCNS-SF34的跨文化效度为"充分"，其余7个量表的跨文化效度均为"未提及"。8个量表的推荐等级均为B级。结论SCNS-SF34的测量特性得到了最为全面的评价，其具有较好的信效度，且临床应用可行性高，可暂时被推荐使用，但上述结论仍有待更多高质量证据加以支撑。     

Impact of the COVID-19 pandemic on the hospital attendance of patients with primary cervical cancer in Heilongjiang,China

Information regarding the impact of the coronavirus disease 2019 (COVID-19) pandemic on cervical cancer in mainland China is lacking. We explored its impact on the hospital attendance of patients with primary cervical cancer. We included 1918 patients with primary cervical cancer who initially attended Harbin Medical University Cancer Hospital between January 23, 2019, and January 23, 2021. Attendance decreased by 31%, from 1135 in 2019 to 783 in 2020, mainly from January to June (𝜒² = 73.362, P < .001). The percentage of patients detected by screening decreased from 12.1% in January-June 2019 to 5.8% in January-June 2020 (𝜒² = 7.187, P = .007). Patients with stage I accounted for 28.4% in 2020 significantly lower than 36.6% in 2019 (𝜒² = 14.085, P < .001), and patients with stage III accounted for 27.1% in 2020 significantly higher than 20.5% in 2019 (𝜒² = 11.145, P < .001). Waiting time for treatment was extended from 8 days (median) in January-June and July-December 2019 to 16 days in January-June (𝜒² = 74.674, P < .001) and 12 days in July-December 2020 (𝜒² = 37.916, P < .001). Of the 179 patients who delayed treatment, 164 (91.6%) were for the reasons of the healthcare providers. Compared to 2019, the number of patients in Harbin or non-Harbin in Heilongjiang Province and outside the province decreased, and cross-regional medical treatment has been hindered. The COVID-19 pandemic has negatively impacted cervical cancer patient attendance at the initial phase. These results are solid evidence that a strategy and mechanism for the effective attendance of cervical cancer patients in response to public health emergencies is urgently needed.     

基于中国传统运动疗法的慢性筋骨病康复模式构建思路探析＊

中国传统运动疗法作为极具特色的康养健身运动疗法，在防病治病中的宝贵价值备受国际康复医学界关注。而慢性筋骨病是骨伤科临床中的常见病、多发病与疑难杂病，临床呈现出“一大五多五高”的特征，成为当前重大的健康问题与临床防治研究课题。本文通过深入探究中国传统运动疗法特点以及其在慢性筋骨病康复中的应用原理、原则及优势作用，提出以传统运动疗法为依托，构建慢性筋骨病防病治病应用方法模式；以三因制宜为指导，构建医院-社区-团体-患者为一体的康复管理模式；以“治未病”工程为支撑，构建慢性筋骨病管理信息资源共享平台模式；为切实提高防、控、治的能力与水平找准抓手与路径，为构建慢性筋骨病康复模式提供新的思路与方向。     

1例重型弥漫性轴索损伤伴肺挫裂伤患者的肺康复护理

总结1例重型弥漫性轴索损伤伴肺挫裂伤患者的肺康复护理经验。护理要点包括：组建多学科肺康复管理团队,实施个性化呼吸支持与降阶梯序贯氧疗护理,精准廓清呼吸道,开展一体化的早期肺功能康复锻炼。经过多学科团队合作,患者入院后第12天撤离呼吸机,第17天拔除气管插管,第20天下床活动,第37天顺利出院,随访6个月,患者恢复良好。     

慢性疼痛中枢调控网络的研究现状与思考＊

慢性疼痛是一种复杂的身心疾病，包括躯体痛觉异常、认知障碍、负性情绪等多个方面的改变，同时伴随着神经系统的功能以及结构的改变。本文将对慢性疼痛与下行疼痛调节通路、疼痛情感-认知调控网络以及中脑边缘奖赏网络的相关性，以及针刺镇痛的中枢机制相关研究文献进行综述，旨在探讨下行疼痛调节通路、疼痛情感-认知调控网络以及中脑边缘奖赏网络在慢痛发生机制中的作用，为临床治疗慢性疼痛类疾病提供更优势的治疗方案。     

Eulerian Algorithms for Computing the Forward Finite Time Lyapunov Exponent Without Finite Difference upon the Flow Map

In this paper, effective Eulerian algorithms are introduced for the computation of the forward finite time Lyapunov exponent (FTLE) of smooth flow fields. The advantages of the proposed algorithms mainly manifest in two aspects. First, previous Eulerian approaches for computing the FTLE field are improved so that the Jacobian of the flow map can be obtained by directly solving a corresponding system of partial differential equations, rather than by implementing certain finite difference upon the flow map, which can significantly improve the accuracy of the numerical solution especially near the FTLE ridges. Second, in the proposed algorithms, all computations are done on the fly, that is, all required partial differential equations are solved forward in time, which is practically more natural. The new algorithms still maintain the optimal computational complexity as well as the second order accuracy. Numerical examples demonstrate the effectiveness of the proposed algorithms.