The purpose of this study is to investigate heart rate variability during Acute uncomplicated diverticulitis by ECG-monitor (Holter), the investigators hypothesis is the inflammation causes a decrease of High Frequency(HF)-power component of heart rate variability and this correlates with sleep quality and daytime fatigue.
An increasing number of studies have shown that circadian variation in the excretion of hormones, the sleep-wake cycle, the core body temperature, the tone of the autonomic nervous system and the activity rhythm are important both in health and disease processes. The investigators are interested in investigating the heart rate variability (HRV) during an acute surgical non-inflammatory condition, and to exam whether there are correlations between: HRV and sleep stages, HRV and cytokine levels in blood and HRV and subjective fatigue. Following methods will be applied Device: Holter monitor - Medilog AR12 (Oxford Instruments, Oxford, England) Other: Karolinska Sleepiness Scale Other: Physical Fatigue Scale Device: Polysomnograph - Embla Titanium (Natus Medical Incorporated, USA) Procedure: Plasma cytokines (IL-2, IL-6 and TNF(tumor necrosis factor)-alfa) Procedure: Plasma CRP(C reactive protein) and leukocytes
Study Type
OBSERVATIONAL
Enrollment
13
Department D, Herlev Hospital
Herlev, Copenhagen, Denmark
Heart-rate variability changes during the acute uncomplicated diverticulitis compared to the baseline levels at 30th night where the condition has been cured
Heart-rate variability measured by Holter monitor and a following analysis of frequency and time domain parameters.
Time frame: 1st, 2nd and 30th night following the admission
changes in plasma cytokine levels during the acute uncomplicated diverticulitis from the baseline levels at 30th day (remission)
the blood sample is taken at night before sleep time. the cytokines are measured with ELISA-kit
Time frame: 1st, 2nd and 30th days following the admission
change in Sleep data during the acute diverticulitis from baseline Sleep data at remission (30th day)
Sleep data is measured by Polysomnography and sleep is categorized into sleep stages (awake, stage 1, 2, REM-sleep and SWS-sleep)
Time frame: 1st, 2nd and 30th days following the admission
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