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1.
Anna Ugalde BA PhD Victoria White BA MA PhD Nicole M. Rankin BA MSc PhD Christine Paul BA PhD Catherine Segan BA PhD Sanchia Aranda RN BAppSci MN PhD Anna Wong Shee BSc BAppSc PhD Alison M. Hutchinson RN BApp Sci MBioth PhD Patricia M. Livingston BA PhD 《CA: a cancer journal for clinicians》2022,72(3):266-286
Smoking cessation reduces the risk of death, improves recovery, and reduces the risk of hospital readmission. Evidence and policy support hospital admission as an ideal time to deliver smoking-cessation interventions. However, this is not well implemented in practice. In this systematic review, the authors summarize the literature on smoking-cessation implementation strategies and evaluate their success to guide the implementation of best-practice smoking interventions into hospital settings. The CINAHL Complete, Embase, MEDLINE Complete, and PsycInfo databases were searched using terms associated with the following topics: smoking cessation, hospitals, and implementation. In total, 14,287 original records were identified and screened, resulting in 63 eligible articles from 56 studies. Data were extracted on the study characteristics, implementation strategies, and implementation outcomes. Implementation outcomes were guided by Proctor and colleagues' framework and included acceptability, adoption, appropriateness, cost, feasibility, fidelity, penetration, and sustainability. The findings demonstrate that studies predominantly focused on the training of staff to achieve implementation. Brief implementation approaches using a small number of implementation strategies were less successful and poorly sustained compared with well resourced and multicomponent approaches. Although brief implementation approaches may be viewed as advantageous because they are less resource-intensive, their capacity to change practice in a sustained way lacks evidence. Attempts to change clinician behavior or introduce new models of care are challenging in a short time frame, and implementation efforts should be designed for long-term success. There is a need to embrace strategic, well planned implementation approaches to embed smoking-cessation interventions into hospitals and to reap and sustain the benefits for people who smoke. 相似文献
2.
Major depressive disorder is a serious and common neuropsychiatric disorder that affects more than 350 million people worldwide. Electroconvulsive therapy is the oldest and most effective treatment available for the treatment of severe major depressive disorder. Electroconvulsive therapy modifies structural network changes in patients with major depressive disorder and schizophrenia. And it can also affect neuroinflammatory responses and may have neuroprotective effects. Electroconvulsive therapy plays an irreplaceable role in the treatment of major depressive disorder. 相似文献
3.
目的分析超声引导下经皮肺穿刺活检术术后并发症的相关影响因素。 方法收集2015年1月至2017年12月于西部战区总医院住院并在超声引导下行经皮肺穿刺活检术的205例患者临床资料,分析205例患者穿刺术后病理结果及并发症发生率,探讨超声引导下经皮肺穿刺活检术术后并发症的相关影响因素。 结果205例患者行超声引导下经皮肺穿刺活检术,术后并发出血8例,占3.9%(8/205),术后发热3例,占1.46% (3/205),为低热,且予以对症治疗后均恢复正常,无严重并发症发生。术后出血的发生率在不同性别、年龄、BMI及病灶类型的患者中无显著差异(P>0.05),且吸烟对患者术后出血率也无显著影响(P>0.05);但有基础疾病的患者其术后出血率更高(P=0.005),且病灶直径越小,术后越容易并发出血(P=0.006)。不同性别、年龄及病灶类型对术后发热的发生率无显著影响(P>0.05),且术后发热与吸烟史及基础疾病史无关(P>0.05),但BMI≥24或3 cm ≤病灶直径(d)<6 cm的患者术后更易发热(P<0.05)。 结论超声引导下经皮肺穿刺活检术术后并发症发生率低(约为5.37%),主要为出血及低热,其中术后出血主要与基础疾病史和病灶直径有关,术后发热主要与病灶直径及BMI有关。 相似文献
4.
Arterial spin labeling (ASL) imaging is a powerful magnetic resonance imaging technique that allows to quantitatively measure blood perfusion non-invasively, which has great potential for assessing tissue viability in various clinical settings. However, the clinical applications of ASL are currently limited by its low signal-to-noise ratio (SNR), limited spatial resolution, and long imaging time. In this work, we propose an unsupervised deep learning-based image denoising and reconstruction framework to improve the SNR and accelerate the imaging speed of high resolution ASL imaging. The unique feature of the proposed framework is that it does not require any prior training pairs but only the subject's own anatomical prior, such as T1-weighted images, as network input. The neural network was trained from scratch in the denoising or reconstruction process, with noisy images or sparely sampled k-space data as training labels. Performance of the proposed method was evaluated using in vivo experiment data obtained from 3 healthy subjects on a 3T MR scanner, using ASL images acquired with 44-min acquisition time as the ground truth. Both qualitative and quantitative analyses demonstrate the superior performance of the proposed txtc framework over the reference methods. In summary, our proposed unsupervised deep learning-based denoising and reconstruction framework can improve the image quality and accelerate the imaging speed of ASL imaging. 相似文献
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6.
目的 观察温阳解郁颗粒(Wenyang Jieyu granule,WYJY)对皮质酮(Corticosterone,CORT)诱导损伤型小鼠海马神经细胞(TH22 cell)的保护作用,基于脑源性神经营养因子(Brain derived neurotrophic factor, BDNF)/酪氨酸激酶B(Tyrosine kinase B, TrkB)/细胞外信号调节蛋白激酶(Extra cellular regulated protein kinases, ERK)信号通路探讨WYJY保护海马神经细胞的作用机制。方法 体外构建小鼠海马神经细胞皮质酮诱导损伤模型,以不同浓度的WYJY和氟西汀(Fluoxetine,FXT)含药血清作用于模型细胞,细胞增殖-毒性检测(Cell Counting Kit-8, CCK-8)法分析细胞活性,倒置显微镜下观察给药前后细胞形态结构的改变,采用蛋白免疫印迹法(Western Blot)、实时荧光定量PCR(Quantitative real-time PCR, qPCR)法检测神经细胞内凋亡因子(BCL2-Associated X, Bax)、抗凋亡因子(B-cell lymphoma-2, Bcl-2)、BDNF、Trkb、ERK以及丝氨酸/苏氨酸激酶(Phospho-p90RSK, RSK)、环磷腺苷效应元件结合蛋白(cAMP-response element binding protein, CREB)蛋白表达水平以及相关基因的表达水平。结果 在浓度为459.5 μmol·L-1的CORT作用24 h后,HT22细胞的活性抑制率达到50%,在此条件作用下细胞形态结构损伤明显,凋亡程度严重,细胞上清中BDNF的含量显著减少(P<0.05),细胞内凋亡相关因子Bax/Bcl-2的比值明显升高(P<0.01),BDNF、Trkb、ERK、RSK、CREB磷酸化蛋白表达水平和mRNA表达水平明显降低(P<0.01);以5%的浓度为2.85 g·kg-1的WYJY和10%的FXT含药血清作用于受损的HT22细胞后,HT22细胞存活率明显提升(P<0.01),细胞结构的损伤明显改善,细胞凋亡程度减轻,细胞外BDNF的含量显著升高(P<0.05),细胞内Bax/Bcl-2比值显著下调(P<0.01),BDNF、Trkb、ERK、RSK、CREB磷酸化蛋白表达水平和mRNA表达水平显著提升(P<0.05,P<0.01)。结论 温阳解郁颗粒可有效保护高浓度CORT造成的小鼠海马神经细胞损伤。调控BDNF/Trkb/ERK通路,放大CREB信号传导,影响Bcl-2、BDNF水平,可能是其保护海马神经元,发挥抗抑郁疗效的重要机制。 相似文献
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8.
Loren Saulsberry PhD Ankur Bhargava MD MPH Sharon Zeng BA Jason B. Gibbons PhD Cody Brannan MS Diane S. Lauderdale PhD Robert D. Gibbons PhD 《Health services research》2023,58(4):873-881
Objective
To derive and validate a new ecological measure of the social determinants of health (SDoH), calculable at the zip code or county level.Data Sources and Study Setting
The most recent releases of secondary, publicly available data were collected from national U.S. health agencies as well as state and city public health departments.Study Design
The Social Vulnerability Metric (SVM) was constructed from U.S. zip-code level measures (2018) from survey data using multidimensional Item Response Theory and validated using outcomes including all-cause mortality (2016), COVID-19 vaccination (2021), and emergency department visits for asthma (2018). The SVM was also compared with the existing Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) to determine convergent validity and differential predictive validity.Data Collection/Extraction Methods
The data were collected directly from published files available to the public online from national U.S. health agencies as well as state and city public health departments.Principal Findings
The correlation between SVM scores and national age-adjusted county all-cause mortality was r = 0.68. This correlation demonstrated the SVM's robust validity and outperformed the SVI with an almost four-fold increase in explained variance (46% vs. 12%). The SVM was also highly correlated (r ≥ 0.60) to zip-code level health outcomes for the state of California and city of Chicago.Conclusions
The SVM offers a measurement tool improving upon the performance of existing SDoH composite measures and has broad applicability to public health that may help in directing future policies and interventions. The SVM provides a single measure of SDoH that better quantifies associations with health outcomes. 相似文献9.
10.
Patrick Demkowicz BS Renelle Pointdujour-Lim MD Sofia Miguez BA Yesung Lee BS Bailey S. C. L. Jones BS Christopher A. Barker MD Marcus Bosenberg MD PhD David H. Abramson MD Alexander N. Shoushtari MD Harriet Kluger MD Jasmine H. Francis MD Mario Sznol MD Mathieu F. Bakhoum MD PhD 《Cancer》2023,129(20):3275-3286