Skip to main content

Advertisement

Log in

Delirium in patients with hip fracture is associated with increased heart rate variability

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Background

Heart rate variability (HRV) is a method to assess the autonomic nervous system and reflects possibly central brain states. HRV has previously not been examined in patients with hip fracture and delirium.

Aims

To explore HRV parameters in hip fracture patients with and without delirium.

Methods

Patients admitted to Oslo University Hospital with hip fracture and sinus rhythm in electrocardiogram (ECG) were included. Delirium was diagnosed using the confusion assessment method. HRV was assessed preoperatively after a relaxing period of five minutes, by measuring an ECG signal over 5 min. Parameters in time domain (the standard deviation of the QRS distances—SDNN) and frequency domain (total power (TP), low frequency (LF), high frequency (HF) and LF/HF ratio) were calculated.

Results

Seventy-five patients were included in the study, and 21 of them had subsyndromal delirium and were excluded from the analysis. Fifty-four patients with a mean age of 83.5 years (SD 8.6, 78% females) were included. Twenty-six patients (48%) had preoperative delirium, 11 (20%) developed delirium postoperatively, whereas 17 (31%) never developed delirium. SDNN, TP and HF values were significantly higher in patients with delirium compared to patients without delirium, and LF and LF/HF were lower. Patients developing postoperative delirium had decreased LF and increased HF before symptom onset.

Discussion

Increased SDNN, TP and HF and decreased LF values might reflect an abnormal stress response in delirium.

Conclusion

HRV measurements in patients with hip fractures provide additional information beyond heart rate and might be used to identify relevant pathophysiological factors in delirium.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

The datasets generated and analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Benhamou D, Brouquet A (2016) Postoperative cerebral dysfunction in the elderly: diagnosis and prophylaxis. J Visc Surg 153:S27–s32. https://doi.org/10.1016/j.jviscsurg.2016.09.015

    Article  CAS  Google Scholar 

  2. Inouye SK, Westendorp RG, Saczynski JS (2014) Delirium in elderly people. Lancet 383:911–922. https://doi.org/10.1016/s0140-6736(13)60688-1

    Article  Google Scholar 

  3. Watne LO, Torbergsen AC, Conroy S et al (2014) The effect of a pre- and postoperative orthogeriatric service on cognitive function in patients with hip fracture: randomized controlled trial (Oslo Orthogeriatric Trial). BMC Med 12:63. https://doi.org/10.1186/1741-7015-12-63

    Article  Google Scholar 

  4. Marcantonio ER, Flacker JM, Wright RJ et al (2001) Reducing delirium after hip fracture: a randomized trial. J Am Geriatr Soc 49:516–522

    Article  CAS  Google Scholar 

  5. Maldonado JR (2013) Neuropathogenesis of delirium: review of current etiologic theories and common pathways. Am J Geriatr Psychiatry 21:1190–1222. https://doi.org/10.1016/j.jagp.2013.09.005

    Article  Google Scholar 

  6. Maclullich AM, Ferguson KJ, Miller T et al (2008) Unravelling the pathophysiology of delirium: a focus on the role of aberrant stress responses. J Psychosom Res 65:229–238. https://doi.org/10.1016/j.jpsychores.2008.05.019

    Article  Google Scholar 

  7. Shaffer F, McCraty R, Zerr CL (2014) A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability. Front Psychol 5:1040. https://doi.org/10.3389/fpsyg.2014.01040

    Article  Google Scholar 

  8. Ernst G (2017) Hidden signals-the history and methods of heart rate variability. Front Public Health 5:265. https://doi.org/10.3389/fpubh.2017.00265

    Article  Google Scholar 

  9. Sassi R, Cerutti S, Lombardi F et al (2015) Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm Society. Europace 17:1341–1353. https://doi.org/10.1093/europace/euv015

    Article  Google Scholar 

  10. Huikuri HV, Stein PK (2013) Heart rate variability in risk stratification of cardiac patients. Prog Cardiovasc Dis 56:153–159. https://doi.org/10.1016/j.pcad.2013.07.003

    Article  Google Scholar 

  11. Lin K, Wei L, Huang Z et al (2017) Combination of Ewing test, heart rate variability, and heart rate turbulence analysis for early diagnosis of diabetic cardiac autonomic neuropathy. Medicine 96:e8296. https://doi.org/10.1097/md.0000000000008296

    Article  Google Scholar 

  12. Tsuji H, Venditti FJ Jr, Manders ES et al (1994) Reduced heart rate variability and mortality risk in an elderly cohort The Framingham Heart Study. Circulation 90:878–883. https://doi.org/10.1161/01.cir.90.2.878

    Article  CAS  Google Scholar 

  13. Huikuri HV, Makikallio TH, Airaksinen KE et al (1998) Power-law relationship of heart rate variability as a predictor of mortality in the elderly. Circulation 97:2031–2036

    Article  CAS  Google Scholar 

  14. de Castilho FM, Ribeiro ALP, Nobre V et al (2018) Heart rate variability as predictor of mortality in sepsis: a systematic review. PLoS One 13:e0203487. https://doi.org/10.1371/journal.pone.0203487

    Article  CAS  Google Scholar 

  15. Nagendra H, Kumar V, Mukherjee S (2015) Cognitive behavior evaluation based on physiological parameters among young healthy subjects with yoga as intervention. Comput Math Methods Med 2015:821061. https://doi.org/10.1155/2015/821061

    Article  CAS  Google Scholar 

  16. Kaikkonen KM, Korpelainen RI, Tulppo MP et al (2014) Physical activity and aerobic fitness are positively associated with heart rate variability in obese adults. J Phys Act Health 11:1614–1621. https://doi.org/10.1123/jpah.2012-0405

    Article  Google Scholar 

  17. Heart rate variability (1996) Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J 17:354–381

    Article  Google Scholar 

  18. McCraty R, Shaffer F (2015) Heart rate variability: new perspectives on physiological mechanisms, assessment of self-regulatory capacity, and health risk. Glob Adv Health Med 4:46–61. https://doi.org/10.7453/gahmj.2014.073

    Article  Google Scholar 

  19. Kleiger RE, Stein PK, Bigger JT Jr (2005) Heart rate variability: measurement and clinical utility. Ann Noninvasive Electrocardiol 10:88–101. https://doi.org/10.1111/j.1542-474X.2005.10101.x

    Article  Google Scholar 

  20. Ernst G (2014) Heart rate variability. Springer, London

    Book  Google Scholar 

  21. Smith R, Thayer JF, Khalsa SS et al (2017) The hierarchical basis of neurovisceral integration. Neurosci Biobehav Rev 75:274–296. https://doi.org/10.1016/j.neubiorev.2017.02.003

    Article  Google Scholar 

  22. Pontet J, Contreras P, Curbelo A et al (2003) Heart rate variability as early marker of multiple organ dysfunction syndrome in septic patients. J Crit Care 18:156–163

    Article  Google Scholar 

  23. Ryan ML, Thorson CM, Otero CA et al (2011) Clinical applications of heart rate variability in the triage and assessment of traumatically injured patients. Anesthesiol Res Pract 2011:416590. https://doi.org/10.1155/2011/416590

    Article  Google Scholar 

  24. Zaal IJ, van der Kooi AW, van Schelven LJ et al (2015) Heart rate variability in intensive care unit patients with delirium. J Neuropsychiatr Clin Neurosci 27:e112–e116. https://doi.org/10.1176/appi.neuropsych.13090213

    Article  Google Scholar 

  25. Neerland BE, Wyller TB, Wyller VBB (2019) Autonomic cardiovascular control in older patients with acute infection and delirium: a pilot study of orthostatic stress responses. BMC Geriatr 19:23. https://doi.org/10.1186/s12877-019-1035-0

    Article  Google Scholar 

  26. Wyller TB, Watne LO, Torbergsen A et al (2012) The effect of a pre- and post-operative orthogeriatric service on cognitive function in patients with hip fracture. The protocol of the Oslo Orthogeriatrics Trial. BMC Geriatr. https://doi.org/10.1186/1471-231812-36

    Article  Google Scholar 

  27. Inouye SK, van Dyck CH, Alessi CA et al (1990) Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Inter Med 113:941–948. https://doi.org/10.7326/0003-4819-113-12-941

    Article  CAS  Google Scholar 

  28. Organization WH The ICD-10 Classification of mental and behavioural disorders. Diagnostic criteria for research. World Health Organization (Available from: www.who.int/classifications/icd/en/GRNBOOK.pdf), Geneva. Accessed 26 Dec 2019

  29. Alexopoulos GS, Abrams RC, Young RC et al (1988) Cornell scale for depression in dementia. Biol Psychiatry 23:271–284. https://doi.org/10.1016/0006-3223(88)90038-8

    Article  CAS  Google Scholar 

  30. Wittling WW, Wittling RA (2012) Herzschlagvariabilität: Frühwarnsystem, Stress- und Fitnessindikator. Eichsfeld-Verlag, Heiligenstadt

    Google Scholar 

  31. Hillebrand S, Gast KB, de Mutsert R et al (2013) Heart rate variability and first cardiovascular event in populations without known cardiovascular disease: meta-analysis and dose-response meta-regression. Europace 15:742–749. https://doi.org/10.1093/europace/eus341

    Article  Google Scholar 

  32. de Bruyne MC, Kors JA, Hoes AW et al (1999) Both decreased and increased heart rate variability on the standard 10-second electrocardiogram predict cardiac mortality in the elderly: the Rotterdam Study. Am J Epidemiol 150:1282–1288. https://doi.org/10.1093/oxfordjournals.aje.a009959

    Article  Google Scholar 

  33. Gerritsen J, Dekker JM, TenVoorde BJ et al (2001) Impaired autonomic function is associated with increased mortality, especially in subjects with diabetes, hypertension, or a history of cardiovascular disease: the Hoorn Study. Diabetes Care 24:1793–1798

    Article  CAS  Google Scholar 

  34. Berntson G, Cacioppo J (2004) Heart rate variability: stress and psychiatric conditions. Dynamic Electrocardiography. Futura, New York

    Google Scholar 

  35. Hjortskov N, Rissen D, Blangsted AK et al (2004) The effect of mental stress on heart rate variability and blood pressure during computer work. Eur J Appl Physiol 92:84–89. https://doi.org/10.1007/s00421-004-1055-z

    Article  Google Scholar 

  36. Tharion E, Parthasarathy S, Neelakantan N (2009) Short-term heart rate variability measures in students during examinations. Natl Med J India 22:63–66

    Google Scholar 

  37. Taelman J, Vandeput S, Vlemincx E et al (2011) Instantaneous changes in heart rate regulation due to mental load in simulated office work. Eur J Appl Physiol 111:1497–1505. https://doi.org/10.1007/s00421-010-1776-0

    Article  Google Scholar 

  38. Castaldo R, Melillo P, Bracale U et al (2015) Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis. Biomed Signal Proc Control 18:370–377. https://doi.org/10.1016/j.bspc.2015.02.012

    Article  Google Scholar 

  39. Schubert C, Lambertz M, Nelesen RA et al (2009) Effects of stress on heart rate complexity—a comparison between short-term and chronic stress. Biol Psychol 80:325–332. https://doi.org/10.1016/j.biopsycho.2008.11.005

    Article  CAS  Google Scholar 

  40. Molina PE (2005) Neurobiology of the stress response: contribution of the sympathetic nervous system to the neuroimmune axis in traumatic injury. Shock 24:3–10

    Article  CAS  Google Scholar 

  41. Maldonado JR (2018) Delirium pathophysiology: an updated hypothesis of the etiology of acute brain failure. Int J Geriatr Psychiatry 33:1428–1457. https://doi.org/10.1002/gps.4823

    Article  Google Scholar 

  42. de Rooij SE, van Munster BC, Korevaar JC et al (2007) Cytokines and acute phase response in delirium. J Psychosom Res 62:521–525. https://doi.org/10.1016/j.jpsychores.2006.11.013

    Article  Google Scholar 

  43. Thayer JF, Loerbroks A, Sternberg EM (2011) Inflammation and cardiorespiratory control: the role of the vagus nerve. Respir Physiol Neurobiol 178:387–394. https://doi.org/10.1016/j.resp.2011.05.016

    Article  CAS  Google Scholar 

  44. Groves DA, Brown VJ (2005) Vagal nerve stimulation: a review of its applications and potential mechanisms that mediate its clinical effects. Neurosci Biobehav Rev 29:493–500. https://doi.org/10.1016/j.neubiorev.2005.01.004

    Article  Google Scholar 

  45. Sternberg EM (2006) Neural regulation of innate immunity: a coordinated nonspecific host response to pathogens. Nat Rev Immunol 6:318–328. https://doi.org/10.1038/nri1810

    Article  CAS  Google Scholar 

  46. Kemp AH, Quintana DS (2013) The relationship between mental and physical health: insights from the study of heart rate variability. Int J Psychophysiol 89:288–296. https://doi.org/10.1016/j.ijpsycho.2013.06.018

    Article  Google Scholar 

  47. Jooyoung O, Dongrae C, Jongin K et al (2017) Changes in heart rate variability of patients with delirium in intensive care unit. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual Conference 2017:3118–3121. https://doi.org/10.1109/embc.2017.8037517

    Article  Google Scholar 

  48. da Silva VP, Ramalho Oliveira BR, Tavares Mello RG et al (2018) Heart Rate Variability Indexes in Dementia: a systematic review with a quantitative analysis. Curr Alzheimer Res 15:80–88. https://doi.org/10.2174/1567205014666170531082352

    Article  CAS  Google Scholar 

  49. Kasanuki K, Iseki E, Fujishiro H et al (2015) Impaired heart rate variability in patients with dementia with Lewy bodies: efficacy of electrocardiogram as a supporting diagnostic marker. Parkinsonism Relat Dis 21:749–754. https://doi.org/10.1016/j.parkreldis.2015.04.024

    Article  Google Scholar 

  50. Frenneaux MP (2004) Autonomic changes in patients with heart failure and in post-myocardial infarction patients. Heart 90:1248–1255. https://doi.org/10.1136/hrt.2003.026146

    Article  CAS  Google Scholar 

Download references

Funding

The study was funded by the Research Council of Norway and the Norwegian Association for Public Health. The sponsors had no role in the design and conduct of the study; collection, management, analysis and interpretation of the data; and preparation, review or approval of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Gernot Ernst and Leiv Otto Watne. The first draft of the manuscript was written by Gernot Ernst, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Gernot Ernst.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study protocol was reviewed and accepted by the Regional Committee for Medical and Health Research Ethic in South-East Norway (REK 2009/450).

Informed consent

Informed consent was obtained from the patients or substitute decision-makers if the patients did not have the capacity to consent.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ernst, G., Watne, L.O., Rostrup, M. et al. Delirium in patients with hip fracture is associated with increased heart rate variability. Aging Clin Exp Res 32, 2311–2318 (2020). https://doi.org/10.1007/s40520-019-01447-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-019-01447-5

Keywords

Navigation