Automated classification of depression from structural brain measures across two independent community‐based cohorts

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.     

疼痛管理在创伤骨科护理管理中的应用价值

目的探究创伤骨科护理管理中疼痛管理的应用价值。方法 82例患者选取于2017年6月-2018年6月,所有患者均来源于本院骨科收治的住院患者,数字表为患者分组原则,常规组41例,疼痛组41例,分别予以常规护理、常规护理+疼痛管理,比较满意度、疼痛评分及平均住院时间。结果疼痛组满意度92.68%比常规组73.17%高,差异具有统计学意义(χ^2=5.513,P <0.05),患者干预后的疼痛评分低于常规组,平均住院时间短于常规组,差异存在统计学意义(P<0.05)。结论疼痛管理用于创伤骨科护理管理中,患者疼痛明显减轻,患者满意度高,缩短了患者的平均住院时间。     

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的研究

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。     

Utility of Deep Brain Stimulation Telemedicine for Patients With Movement Disorders During the COVID-19 Outbreak in China

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.     

Características clínicas y pronóstico de la lesión medular traumática en pacientes mayores de 75 años

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.