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临床试验/NCT04500951
NCT04500951终止不适用

Evaluation and Improvement of Rest Activity Cycles and Rest Quality in Patients With Severe Acquired Brain Injury

University of Aarhus2 个研究点 分布在 1 个国家目标入组 29 人开始时间: 2020年5月20日最近更新:
适应症

试验速览

阶段
不适用
状态
终止
入组人数
29
试验地点
2
主要终点
Heart rate variability: LF band of the power spectrum of a 256 hz ECG recording

研究概览

简要总结

This study investigates whether an individually designed environment can support and improve the quality of daytime resting periods in in-hospital neurorehabilitation of patients suffering severe acquired brain injury.

The effect of a individually optimized resting environment will be tested against a standard resting environment.

详细描述

Aim:

The aim is to identify differences in quality of rest as reflected by clinical evaluation, pulse rate, motor activity and autonomic balance between the optimized resting environment (ORE) and the standard resting environment (SR).

Method: A Randomized controlled time-series study. Randomization to either SR or ORE for each of the 9 resting periods during a three-day recording session. A period of three days will allow collection of sufficient data. This will also allow the analysis to take the random effects of time and weekday into account. Outcome measures will be differences in mean heart rate during daytime resting periods, aggregated measures of heart rate variability and proportion of resting minutes according to accelerometry.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Crossover
主要目的
Treatment
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Severe Acquired brain injury
  • >= 18 years
  • Relatives/Surrogate can give informed consent
  • Classified as being ≤ 7 on the level of cognitive functions scale (also known as Rancho Los Amigos Scale)

排除标准

  • Admitted due to polyneuropathies e.g. Guillain-Barré
  • Terminal illness
  • Spinal lesions
  • Expected stay < 3 weeks
  • Paroxysmal Sympathetic Hyperactivity

结局指标

主要结局

Heart rate variability: LF band of the power spectrum of a 256 hz ECG recording

时间窗: Continuous data will be aggregated from the duration of each resting period. Duration of resting periods will be varying according to the needs of the patients for each resting period. Estimated to be 30 minutes to 2½ hours.

The mean or median (Depending on distribution) low frequency power spectrum of all epochs for the duration of the resting periods will be used to characterize the balance in the autonomous nervous system.

Heart rate variability: LF/HF ratio of the power spectrum of a 256 hz ECG recording

时间窗: Continuous data will be aggregated from the duration of each resting period. Duration of resting periods will be varying according to the needs of the patients for each resting period. Estimated to be 30 minutes to 2½ hours.

The mean or median (Depending on distribution) LF/HF ratio of all epochs for the duration of the resting periods will be used to characterize the balance in the autonomous nervous system.

Heart rate variability: HF band of the power spectrum of a 256 hz ECG recording

时间窗: Continuous data will be aggregated from the duration of each resting period. Duration of resting periods will be varying according to the needs of the patients for each resting period. Estimated to be 30 minutes to 2½ hours.

The mean or median (Depending on distribution) High frequency power spectrum of all epochs for the duration of the resting periods will be used to characterize the balance in the autonomous nervous system.

Heart rate

时间窗: Continuous data will be aggregated from the duration of each resting period. Duration of resting periods will be varying according to the needs of the patients for each resting period. Estimated to be 30 minutes to 2½ hours.

The mean/median heart rate of a 0.2 hz reported heart rate as measured by the monitor system Mindray nseries TM80.

Clinical evaluation of quality of rest

时间窗: Measurement represent the evaluated quality of rest for the duration of the resting period. Duration of resting periods will be varying according to the needs of the patients for each resting period. Estimated to be 30 minutes to 2½ hours.

A five option categorical scale going from "really bad"-"bad"-"good"-"really good "+ the option of "insufficient information for evaluation". Evaluation is performed by the patient responsible clinician at the end of each resting period. Duration of resting periods will be varying according to the needs of the patients for each resting period.

Heart rate variability: SDNN a time domain estimate of heart rate variability from of a 256 hz ECG recording

时间窗: Continuous data will be aggregated from the duration of each resting period. Duration of resting periods will be varying according to the needs of the patients for each resting period. Estimated to be 30 minutes to 2½ hours.

The mean or median (Depending on distribution) SDNN of all epochs for the duration of the resting periods will be used to characterize the balance in the autonomous nervous system.

Respiratory rate

时间窗: Continuous data will be aggregated from the duration of each resting period. Duration of resting periods will be varying according to the needs of the patients for each resting period. Estimated to be 30 minutes to 2½ hours.

The mean/median respiratory rate of a 0.2 hz reported respiratory rate as extrapolated by the monitor system Mindray nseries TM80 from a 256 hz ecg.

Actigraphic evaluation of motor rest ratio (MRR)

时间窗: Continuous data will be aggregated from the duration of each resting period. Duration of resting periods will be varying according to the needs of the patients for each resting period. Estimated to be 30 minutes to 2½ hours.

Actigraphy will be measured during all resting periods. Epochs of 1 minute will be defined as active or inactive based on previous used limits. Motor rest ratio (MRR) defined as the proportions of minutes defined as resting out of all minutes recorded in each resting periods will be used to describe degree of motor rest

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Simon Svanborg Kjeldsen

PhD Student

University of Aarhus

研究点 (2)

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