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41.
Aleks Stolicyn Mathew A. Harris Xueyi Shen Miruna C. Barbu Mark J. Adams Emma L. Hawkins Laura de Nooij Hon Wah Yeung Alison D. Murray Stephen M. Lawrie J. Douglas Steele Andrew M. McIntosh Heather C. Whalley 《Human brain mapping》2020,41(14):3922-3937
Major depressive disorder (MDD) has been the subject of many neuroimaging case–control classification studies. Although some studies report accuracies ≥80%, most have investigated relatively small samples of clinically‐ascertained, currently symptomatic cases, and did not attempt replication in larger samples. We here first aimed to replicate previously reported classification accuracies in a small, well‐phenotyped community‐based group of current MDD cases with clinical interview‐based diagnoses (from STratifying Resilience and Depression Longitudinally cohort, ‘STRADL’). We performed a set of exploratory predictive classification analyses with measures related to brain morphometry and white matter integrity. We applied three classifier types—SVM, penalised logistic regression or decision tree—either with or without optimisation, and with or without feature selection. We then determined whether similar accuracies could be replicated in a larger independent population‐based sample with self‐reported current depression (UK Biobank cohort). Additional analyses extended to lifetime MDD diagnoses—remitted MDD in STRADL, and lifetime‐experienced MDD in UK Biobank. The highest cross‐validation accuracy (75%) was achieved in the initial current MDD sample with a decision tree classifier and cortical surface area features. The most frequently selected decision tree split variables included surface areas of bilateral caudal anterior cingulate, left lingual gyrus, left superior frontal, right precentral and paracentral regions. High accuracy was not achieved in the larger samples with self‐reported current depression (53.73%), with remitted MDD (57.48%), or with lifetime‐experienced MDD (52.68–60.29%). Our results indicate that high predictive classification accuracies may not immediately translate to larger samples with broader criteria for depression, and may not be robust across different classification approaches. 相似文献
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谢琳卉 《中国继续医学教育》2020,(2):168-170
目的研究分析连续护理干预模式对脊柱骨折伴脊髓损伤患者术后康复效果。方法本项研究回顾了2017年2月—2018年7月间在某院采取了脊柱骨折伴脊髓损伤治疗的52例患者整个治疗过程的资料,将所有的患者使用数字双盲法将其分为了对照组(n=26)和观察组(n=26)。对照组患者使用护理措施为常规护理措施,观察组使用的护理措施为连续护理干预模式,在患者治疗完成后对比两个不同组别患者在围手术期期间各类指标和出现并发症概率。结果对照组患者手术下床活动时间、住院时间、住院所需费用以及患者并发症发生率均显著高于观察组,组别间数据对比差异具有统计学意义(P<0.05)。结论医护人员在进行脊柱骨折伴脊髓损伤患者的护理工作当中,对其采取连续护理模式可以降低患者并发症发生率,缩短患者住院时间,对患者身体的恢复具有显著意义。 相似文献
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《Neuromodulation》2021,24(2):337-342
ObjectiveTo explore the utility of deep brain stimulation (DBS) telemedicine in the management of patients with movement disorders from January 2019 to March 2020, covering the main period of the COVID-19 outbreak in China.Materials and MethodsWe obtained data from 40 hospitals around China that employed DBS tele-programming for their outpatients with Parkinson’s disease or dystonia from January 2019 to March 2020. Data were obtained on the number and nature of patients’ DBS health care service requests, reasons for their requests, the number of DBS telemedicine sessions subsequently completed, safety issues, and the patients’ satisfaction with the DBS tele-programing parameter adjustments made.ResultsThere were 909 DBS tele-programming health service requests (from 196 patients) completed during the study period. The results showed: 1) the number of DBS telemedicine sessions requested and the number of patients examined increased during the COVID-19 outbreak in February and March 2020 when compared with the monthly numbers in 2019; 2) the most common reason for the patients’ health service requests was poor symptom control; 3) the most common DBS tele-programming adjustment made was voltage change; 4) overall, most (89%) DBS tele-programming adjustment sessions were experienced by the patients as satisfactory; and 5) significant adverse events and unexpected treatment interruptions caused by connection failure or other hardware- or software-related problems did not occur.ConclusionsDBS telemedicine could have a unique role to play in maintaining the delivery of DBS treatment and medical care to outpatients with movement disorders during the COVID-19 pandemic. 相似文献
47.
《Neurocirugía (Asturias, Spain)》2021,32(5):209-216
ObjectiveTo analyze the incidence and characteristics of traumatic spinal cord injury (SCI) in geriatric population of Galicia (Spain), hospital management and functional prognosis.MethodsComparative retrospective study. Patients admitted with acute traumatic SCI during the time period between January 2010 and December 2016 were included. Two groups established: The elderly over and under 75 years of age, with the latter acting as a control group.ResultsThree hundred seventy-nine patients were studied (27.2% ≥75 years). The main etiology in the >75 years group were falls: 80.6%. There were 65.7% who presented incomplete spinal cord injuries with mean motor index (MI) of 44.9/100. Upon discharge, 90.8% were dependent. Hospital mortality was 34.9%. Those >75 years suffered from more cervical injuries (74.8 vs. 51.2%; p<0.001), longer delay in diagnosis (31.1 vs. 9.2%; p<0.001) and higher hospital mortality (34.9 vs. 3.2%; p<0.001). Fewer surgical interventions were performed, with a longer delay. Percentages for admission into ICU, mechanical ventilation and performing a tracheostomy proved to be similar. There were no significant differences found in the evolution according to the ASIA scale or the MI.Conclusions1) The frequency of traumatic SCI in the elderly in Galicia is high; 2) Neurological evolution is similar to younger patients but the level of dependence is higher; 3) The level of care provided is similar in both groups, except for the surgical indication, and 4) Hospital mortality is high. 相似文献
48.
Elizabeth M. Broad Laura J. Newsome Dustin A. Dew 《The journal of spinal cord medicine》2020,43(3):388-397
Objective: Report measured resting energy expenditure (REE) in wheelchair rugby athletes and evaluate agreement between REE and the prediction models of Chun, Cunningham, Harris-Benedict, Mifflin, Nightingale and Gorgey, and Owen.Design: Cohort-based validation study.Setting. Paralympic team training camp.Participants: Fourteen internationally competitive athletes who play wheelchair rugby, 13 of whom had cervical spinal cord injuries (SCI).Outcome Measures: A portable metabolic analyzer was used to measure REE following an overnight fast and dual-energy X-ray absorptiometry (DXA) was used to assess lean body mass for the prediction equations.Results: REE in the current sample was 1735?±?257?kcal?×?day?1 ranging from 1324 to 2068?kcal?×?day?1. Bland–Altman analyses revealed negative mean bias but similar limits of agreement between measured REE and scores predicted by Chun, Cunningham, Mifflin, Nightingale and Gorgey, and Owen models in elite athletes who play wheelchair rugby.Conclusion: Prediction models regressed on persons with and without SCI under-predicted REE of competitive wheelchair rugby athletes. This outcome may be explained by the higher REE/fat-free mass (FFM) ratio of current athletes compared to less active samples. Findings from the current study will help practitioners to determine nutrient intake needs on training days of varied intensity. 相似文献
49.
目的:观察黄连解毒汤对重度颅脑损伤合并肺部感染患者血气指标和炎症因子的影响,探讨其治疗效果。方法:随机抽签方式将77例重度颅脑损伤合并肺部感染患者分为两组。对照组35例接受常规治疗,研究组42例在常规治疗基础上,联合黄连解毒汤直肠灌注及全身擦浴治疗。评估两组临床效果,记录两组呼吸机使用时间、ICU入住时间及治疗费用,测定两组治疗前后血气指标和炎症因子。结果:两组临床治疗效果间差异无统计学意义(P>0.05)。与对照组比,研究组呼吸机使用时间和ICU入住时间明显缩短,ICU治疗费用显著减少(P<0.01)。治疗后两组SaO、PaO2水平明显上升,PaCO2及血清PCT、IL-1β、HMGB-1、CRP水平明显下降(P<0.05)。组间比较,研究组SaO、PaO2水平高于对照组,PaCO2及血清PCT、IL-1β、HMGB-1、CRP水平低于对照组(P<0.05)。结论:黄连解毒汤直肠灌注联合全身擦浴可明显控制重度颅脑损伤合并肺部感染患者感染病症,改善血气指标,调节炎症反应,缩短呼吸机使用时间和ICU入住时间,减少患者的治疗费用。 相似文献
50.
Sebastian P. Mondaca MD Dazhi Liu PharmD BCOP Jessica R. Flynn Sandy Badson Stefan Hamaway BS Mrinal M. Gounder MD Danny N. Khalil MD PhD Alexander E. Drilon MD Bob T. Li MD MPH Komal L. Jhaveri MD Alison M. Schram MD Katherine E. Kargus RN Mary Kate Kasler DNP MSN Natalie M. Blauvelt Neil H. Segal MD PhD Marinela Capanu PhD Margaret K. Callahan MD PhD David M. Hyman MD Maya Gambarin-Gelwan MD James J. Harding MD 《Cancer》2020,126(22):4967-4974