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Holter monitoring of heart rate variability in patients with ... - Firstbeat

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<strong>Holter</strong> <strong>monitor<strong>in</strong>g</strong> <strong>of</strong> <strong>heart</strong> <strong>rate</strong><br />

<strong>variability</strong> <strong>in</strong> <strong>patients</strong> <strong>with</strong> burnout<br />

syndrome<br />

Lyskov E, Rist<strong>in</strong>iemi H, Perski A, Yermakova I,<br />

Chaikovsky I, Sakaev E, Bortkiewicz A.<br />

University <strong>of</strong> Gevle, Sweden<br />

Karol<strong>in</strong>ska Institutet, Sweden,<br />

Scientific Tra<strong>in</strong><strong>in</strong>g Centre for Information Technologies and Systems,<br />

National Academy <strong>of</strong> Sciences, Ukra<strong>in</strong>e<br />

N<strong>of</strong>er Institute for Occupational Health, Poland


Burn-out<br />

• State <strong>of</strong> vital exhaustion, F 43.8A; or Z73.0 ; ICD-10<br />

• Pr<strong>of</strong>ound fatigue, cognitive problems, decreased work capacity,<br />

cynism. Relation to work stress factors - workload, control,<br />

reward, community, fairness, values<br />

• Primarily stress related disorder (same group as: acute stress<br />

reaction, post-traumatic stress disorder)<br />

• Many <strong>in</strong> common <strong>with</strong> other functional disorders as: fibromyalgia,<br />

environmental <strong>in</strong>tolerance, chronic fatigue syndrome<br />

• Unknown mechanisms, difficult to differentiate <strong>with</strong> other stress<br />

related disorders, cl<strong>in</strong>ically based expertise<br />

• Diverse treatment


[msec ]<br />

2<br />

Ratio LF [msec ] / HF<br />

Fibromyalgia: Changes <strong>in</strong> HRV; Ratio<br />

LF/HF (Mart<strong>in</strong>ez-Lav<strong>in</strong> et al. 1998)<br />

2Controls<br />

7<br />

Patients<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

p


Environmental Intolerance – Changes<br />

<strong>in</strong> HRV, Normalized HF (Sandström et al, 2003)


Gulf War Syndrom, Changes <strong>in</strong> HRV,<br />

HF and QT <strong>in</strong>tervals (Hall et al. , 2002)<br />

• Circadian variation <strong>in</strong> parameters <strong>of</strong><br />

autonomic regulation measured by<br />

24-hour <strong>Holter</strong> <strong>monitor<strong>in</strong>g</strong> <strong>in</strong> 21 ill Gulf<br />

War veterans (solid circles) and 19<br />

matched control veterans (open<br />

circles).<br />

• High-frequency spectral power <strong>of</strong><br />

<strong>heart</strong> <strong>rate</strong> <strong>variability</strong>, measured <strong>in</strong> 5-<br />

m<strong>in</strong>ute epochs every 15 m<strong>in</strong>utes over<br />

24 hours (A)<br />

• Corrected QT <strong>in</strong>terval (QTc),<br />

measured <strong>in</strong> 5-m<strong>in</strong>ute epochs every<br />

hour (B)


Ambulatory personal <strong>with</strong> stressrelated<br />

symptoms, Changes <strong>in</strong> HRV, LF<br />

(Aasa et al. 2006)


HRV and stress-related syndroms<br />

• Aberration <strong>in</strong> the central regulatory mechanisms and ANS<br />

parameters seems to be an essential element <strong>in</strong> pathogenesis <strong>of</strong><br />

stress related disorders<br />

• Commonly observed phenomenon is a distortion <strong>of</strong> circadian<br />

rhythms<br />

• Changes <strong>in</strong> HRV have been observed <strong>in</strong> different time and<br />

frequency-doma<strong>in</strong> variables<br />

• <strong>Holter</strong> ECG <strong>monitor<strong>in</strong>g</strong> may be useful <strong>in</strong> understand<strong>in</strong>g <strong>of</strong><br />

physiological mechanism <strong>of</strong> Burn-out syndrom, as well as <strong>in</strong><br />

assessment <strong>of</strong> treatment efficiency<br />

• Complex analysis <strong>of</strong> cl<strong>in</strong>ical data and “HRV variables” is<br />

important


Ground<strong>in</strong>g<br />

• “Total-body movement exercises<br />

directed downward and designed<br />

to <strong>in</strong>duce pleasure and wellbe<strong>in</strong>g”<br />

• Reduce muscular tensions and<br />

raise energy level, normalize<br />

breath<strong>in</strong>g pattern<br />

• Emphasiz on psychodynamic<br />

aspects <strong>of</strong> Afrikans dance<br />

• Role <strong>of</strong> Music<br />

• Effects on cardiovascular<br />

regulation and skeleto-muscular<br />

system<br />

• Popular <strong>in</strong> Sweden, <strong>in</strong> complex<br />

<strong>with</strong> other methods


Aims - to test:<br />

• Is Burn-out syndrome<br />

characterised by decreased<br />

<strong>heart</strong> <strong>rate</strong> <strong>variability</strong> and<br />

day/night contrasts?<br />

• Somatic compla<strong>in</strong>ts, pa<strong>in</strong> –<br />

are they common <strong>in</strong> <strong>patients</strong><br />

<strong>with</strong> Burn-out syndrome?<br />

• What is immediate and<br />

distant effect <strong>of</strong> the<br />

Ground<strong>in</strong>g?


Materials methods<br />

• 15 burnout <strong>patients</strong> (12 female, 42,8 +/- 6 y.o) and age and<br />

gender matched symptom free controls<br />

• Cl<strong>in</strong>ical exam<strong>in</strong>ation<br />

• Self rat<strong>in</strong>gs –Sleep Scale, Respiratory Functions, Anxiety, Pa<strong>in</strong>,<br />

Wellbe<strong>in</strong>g<br />

• 48+ hours HRV <strong>monitor<strong>in</strong>g</strong>, Suunto Memory Belt (longer time <strong>of</strong><br />

record<strong>in</strong>g is available <strong>with</strong> Body-Guard device). <strong>Firstbeat</strong><br />

HEALTH 3.1.1.0. <strong>Firstbeat</strong> Technologies Oy; F<strong>in</strong>land.<br />

• HRV variables <strong>in</strong> time, frequency doma<strong>in</strong>s, <strong>in</strong>tegrative<br />

characteristics <strong>of</strong> RR <strong>variability</strong> dur<strong>in</strong>g day and night hours<br />

• Physical activity, 3-axial accelerometer


Direct and Indirect Variables,<br />

<strong>Firstbeat</strong> HEALTH, <strong>Firstbeat</strong> Technologies Oy; F<strong>in</strong>land<br />

• Direct measure <strong>of</strong> RR<br />

<strong>in</strong>tervals - Heart <strong>rate</strong>, RMSSD,<br />

variables <strong>in</strong> time and<br />

frequency doma<strong>in</strong>….<br />

• Extrapolation - HR % MAX,<br />

Respiration <strong>rate</strong>, Ventilation,<br />

Energy Expenditure,<br />

%VO2…..<br />

• Summary <strong>in</strong> comprehensive<br />

reports: Health promout<strong>in</strong>g<br />

Physical Activity, Weight<br />

managment, Energy<br />

Expenditure, Physical<br />

Workload ….


Independent variables<br />

• GROUP (2; Case, Control)<br />

• GROUNDING (3; Introduction Session, First Session, Last<br />

Session)<br />

• ROUND the CLOCK (2; The First 24 hours, The Second 24<br />

Hours)


Prelim<strong>in</strong>ary results <strong>of</strong> <strong>Holter</strong> <strong>monitor<strong>in</strong>g</strong>.<br />

48 Hours, Averaged data, Patients Control.<br />

Heart Rate, BPM<br />

RMSSD, ms


Direct effects <strong>of</strong> the Ground<strong>in</strong>g<br />

Heart <strong>rate</strong>, ms<br />

RMSSD, ms


Direct effects <strong>of</strong> the Ground<strong>in</strong>g<br />

Respiration (per m<strong>in</strong>)<br />

VO2 (ml/kg/m<strong>in</strong>)


Chaos <strong>in</strong> HRV?<br />

• Sample Entropy is the negative natural logarithm <strong>of</strong> an estimate<br />

<strong>of</strong> the conditional probability that subseries (epochs) <strong>of</strong> length m<br />

that match po<strong>in</strong>twise <strong>with</strong><strong>in</strong> a tolerance r also match at the next<br />

po<strong>in</strong>t.<br />

• Chaos := ((1-SOD)+ApEn+SampEn+(1-2*|FDDA-1.5|))/4*100%


Discrim<strong>in</strong>ant power <strong>of</strong> different<br />

variables<br />

90<br />

1_2среднее<br />

80<br />

70<br />

60<br />

50<br />

40<br />

1_2среднее<br />

30<br />

20<br />

10<br />

0<br />

Хаос Энтропия ЧСС SDNN RMSSD TINN PAPR IN LF/HF derHR


Perceived Pa<strong>in</strong>, VAS scala, Localization<br />

6<br />

5<br />

4<br />

3<br />

Burnout<br />

Control<br />

2<br />

1<br />

0<br />

Before After Treatment


Summary<br />

• Prelim<strong>in</strong>ary results <strong>of</strong> the HRV <strong>Holter</strong> <strong>monitor<strong>in</strong>g</strong> show dist<strong>in</strong>ctive<br />

cardiovascular effects <strong>of</strong> Ground<strong>in</strong>g <strong>in</strong> both groups. In controls<br />

these effects can be even stronger at the end <strong>of</strong> tra<strong>in</strong><strong>in</strong>g course<br />

• No difference between groups was found <strong>in</strong> averaged (48 hours)<br />

HRV <strong>monitor<strong>in</strong>g</strong> data<br />

• Musculoskeletal pa<strong>in</strong>, (first <strong>of</strong> all <strong>in</strong> neck-shoulder and lowback<br />

areas) is quite common symptom <strong>in</strong> persons <strong>with</strong> burn-out<br />

• Hourly measured circadian rhythms <strong>in</strong> HRV will be analysed<br />

• Possible difference between the first (after Ground<strong>in</strong>g session)<br />

and the second nights will be analysed<br />

• (Cor)relations between symptoms, cl<strong>in</strong>ical effects <strong>of</strong> Ground<strong>in</strong>g,<br />

physical activity and HRV data will be analysed

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