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Trajectories of emotional and physical distress during ICU stay and their association with clinical factors and cognitive status at discharge
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  • Published: 27 January 2026

Trajectories of emotional and physical distress during ICU stay and their association with clinical factors and cognitive status at discharge

  • E. Doña-López1,2,
  • M. Godoy-González1,2,3,
  • G. Navarra-Ventura3,4,5,6,
  • A. Fernández-Olivares2,
  • G. Gomà2,3,
  • J. Estela Esteve2,7,
  • C. De Haro2,3,
  • E. Diaz Santos2,
  • L. Salarbous2,3,
  • M. Jodar1,8,9,
  • L. Blanch2,3,
  • J. López-Aguilar2,3 &
  • …
  • S. Fernández-Gonzalo1,2,9 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Abstract

Emotional distress, including anxiety and sadness, is common among patients in the intensive care unit (ICU). It may be influenced by clinical factors but also by physical distress symptoms such as dyspnea and pain; however, trajectories of emotional and physical distress and interactions throughout the ICU stay, and their potential impact after discharge, remain relatively unexplored. The main objective of the study was to investigate the trajectory and interplay of anxiety, sadness, dyspnea, and pain during the ICU stay, and also their associations with clinical and demographic factors and with cognitive status at discharge. Observational, longitudinal study in non-delirious adult ICU patients in whom emotional state (anxiety and sadness) and physical discomfort (dyspnea and pain) were assessed daily using a visual analog scale, once an adequate level of consciousness (RASS between − 1 and + 1) had been achieved. A new variable was created to compare the evolution of distress in the different phases of admission. Mixed-effects models were used to explore associations with the phase of ICU stay, invasive mechanical ventilation (IMV), and other clinical variables. Cognitive status was assessed at ICU discharge with the MoCA test. In 62 ICU patients, levels of sadness consistently exceeded anxiety during ICU stay, although both remained stable and declined only in the final phase. IMV was associated with higher levels of sadness (β = 2.45, p < 0.001) and dyspnea (β = 1.24, p = 0.003). Male patients reported lower anxiety levels (β = − 1.34, p = 0.039). Pain correlated with sadness early in the ICU period (r = 0.44, p = 0.016), and with dyspnea during the second (r = 0.54, p = 0.001) and late phases (r = 0.34, p = 0.004). At ICU discharge, 70.9% of patients showed cognitive impairment unrelated to distress, clinical or demographic variables. Sadness was identified as a more prominent component of emotional distress than anxiety during the ICU stay. The findings underscore the impact of IMV on both sadness and dyspnea, highlighting the value of a multidimensional psychological assessment in critically ill patients. The lack of association between cognitive impairment at discharge and in-ICU emotional/physical distress trajectories suggests that cognitive and emotional sequelae may arise from distinct underlying mechanisms.

Trial registration: ClinicalTrials.gov (NCT07153380).

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Data availability

The dataset generated and analyzed during the current study is available in the RDR (Research Data Repository), a federated and multidisciplinary repository for Catalan universities, CERCA research centers, and other research institutions. RDR complies with the FAIR principles (Findable, Accessible, Interoperable, and Reusable) and follows the EOSC (European Open Science Cloud) guidelines. RDR will comply with the FAIR principles (Findable, Accessible, Interoperable, and Reusable) and will follow the EOSC (European Open Science Cloud) guidelines. The datasets generated and analyzed during the current study are available in the Cora RDR (Research Data Repository), (https://doi.org/10.34810/data2719). The files are available upon request.

References

  1. Cardoso, G., Alexandre, J. & Rosa, A. Depression, anxiety and alcohol abuse in a gastroenterology intensive care unit: Prevalence and detection. Clin. Pract. Epidemiol. Ment. Health 6(1), 47–52 (2010).

    Google Scholar 

  2. Rincon, H. G. et al. Prevalence, detection and treatment of anxiety, depression, and delirium in the adult critical care unit. Psychosomatics 42(5), 391–396 (2001).

    Google Scholar 

  3. Shdaifat, S. A. & Al, Q. M. Anxiety and depression among patients admitted to intensive care. Nurs. Crit. Care 27(1), 106–112. https://doi.org/10.1111/nicc.12536 (2022).

    Google Scholar 

  4. Biancofiore, G. et al. Stress-inducing factors in ICUs: What liver transplant recipients experience and what caregivers perceive. Liver Transp. 11(8), 967–972 (2005).

    Google Scholar 

  5. Sher, Y., Desai, N., Sole, J. & D’souza, M. P. Dyspnea and dyspnea-associated anxiety in the ICU patient population: A narrative review for CL psychiatrists. J. Acad. Consult. Liaison Psychiatry 65(1), 54–65 (2024).

    Google Scholar 

  6. Granja, C. et al. Patients’ recollections of experiences in the intensive care unit may affect their quality of life. Crit. Care. 9(2), R96 (2005).

    Google Scholar 

  7. Myhren, H., Ekeberg, Ø., Tøien, K., Karlsson, S. & Stokland, O. Posttraumatic stress, anxiety and depression symptoms in patients during the first year post intensive care unit discharge. Crit. Care 14(1), R14. https://doi.org/10.1186/cc8870 (2010).

    Google Scholar 

  8. Tøien, K. et al. Psychological distress after severe trauma: A prospective 1-year follow-up study of a trauma intensive care unit population. J. Trauma: Injury, Infect. Crit. Care. 69(6), 1552–1559 (2010).

    Google Scholar 

  9. Bjørnøy, I., Rustøen, T., Mesina, R. J. S. & Hofsø, K. Anxiety and depression in intensive care patients six months after admission to an intensive care unit: A cohort study. Intens. Crit. Care Nurs. 78, 103473 (2023).

    Google Scholar 

  10. Bonsaksen, T. et al. Self-diagnosed depression in the Norwegian general population – associations with neuroticism, extraversion, optimism, and general self-efficacy. BMC Public Health 18(1), 1076. https://doi.org/10.1186/s12889-018-5990-8 (2018).

    Google Scholar 

  11. Lee, M., Kang, J. & Jeong, Y. J. Risk factors for post–intensive care syndrome: A systematic review and meta-analysis. Aust. Crit. Care 33(3), 287–294 (2020).

    Google Scholar 

  12. Navarra-Ventura, G. et al. Occurrence, co-occurrence and persistence of symptoms of depression and post-traumatic stress disorder in survivors of COVID-19 critical illness. Eur. J. Psychotraumatol. 15(1), 2363654 (2024).

    Google Scholar 

  13. Fernández-Gonzalo, S. et al. Characterization of postintensive care syndrome in a prospective cohort of survivors of COVID-19 critical illness: A 12-month follow-up study. Can. J. Anesthesia/J. canadien d’anesthésie. 71(9), 1282–1301 (2024).

    Google Scholar 

  14. Wang, S. et al. Prevalence and risk factors of depression and anxiety symptoms in intensive care unit patients with cardiovascular disease: A cross-sectional study. J. Clin. Nurs. https://doi.org/10.1111/jocn.17203 (2024).

    Google Scholar 

  15. Hamilton, M. et al. Determinants of depressive symptoms at 1 year following ICU discharge in survivors of ≥ 7 days of mechanical ventilation. Chest 156(3), 466–476 (2019).

    Google Scholar 

  16. Yamamoto, H. et al. Physical function and mental health trajectories in COVID-19 patients following invasive mechanical ventilation: A prospective observational study. Sci. Rep. 13(1), 14529 (2023).

    Google Scholar 

  17. Schmidt, M. et al. Dyspnea in mechanically ventilated critically ill patients*. Crit Care Med. 39(9), 2059–2065 (2011).

    Google Scholar 

  18. Fukushi, I., Pokorski, M. & Okada, Y. Mechanisms underlying the sensation of dyspnea. Respir Investig. 59(1), 66–80 (2021).

    Google Scholar 

  19. Laviolette, L. & Laveneziana, P. Dyspnoea: A multidimensional and multidisciplinary approach. Eur. Respir. J. 43(6), 1750–1762 (2014).

    Google Scholar 

  20. von Leupoldt, A. Treating anxious expectations can improve dyspnoea in patients with COPD. Eur. Respir. J. 50(3), 1701352 (2017).

    Google Scholar 

  21. Similowski, T. Treat the lungs, fool the brain and appease the mind: Towards holistic care of patients who suffer from chronic respiratory diseases. Euro. Respirat. J. 51(2), 1800316. https://doi.org/10.1183/13993003.00316-2018 (2018).

    Google Scholar 

  22. Tan, Y., Van den Bergh, O., Qiu, J. & von Leupoldt, A. The impact of unpredictability on dyspnea perception, anxiety and interoceptive error processing. Front. Physiol. 10, 535. https://doi.org/10.3389/fphys.2019.00535/full (2019).

    Google Scholar 

  23. Demoule, A. et al. Prevalence, intensity, and clinical impact of dyspnea in critically ill patients receiving invasive ventilation. Am. J. Respir. Crit. Care Med. 205(8), 917–926. https://doi.org/10.1164/rccm.202108-1857OC (2022).

    Google Scholar 

  24. Persichini, R. et al. Diagnostic accuracy of respiratory distress observation scales as surrogates of Dyspnea self-report in intensive care unit patients. Anesthesiology 123(4), 830–837 (2015).

    Google Scholar 

  25. Worsham, C. M., Banzett, R. B. & Schwartzstein, R. M. Dyspnea, acute respiratory failure, psychological trauma, and post-ICU mental health: A caution and a call for research. Chest 159(2), 749–756 (2021).

    Google Scholar 

  26. Röser, E. et al. Differences between women and men in prolonged weaning. Respir. Res. 25(1), 363 (2024).

    Google Scholar 

  27. Szokol, J. W. & Vender, J. S. Anxiety, delirium, and pain in the intensive care unit. Crit. Care Clin. 17(4), 821–842 (2001).

    Google Scholar 

  28. Chanques, G. et al. A prospective study of pain at rest: Incidence and characteristics of an unrecognized symptom in surgical and trauma versus medical intensive care unit patients. Anesthesiology 107(5), 858–860 (2007).

    Google Scholar 

  29. Puntillo, K. A. et al. Determinants of procedural pain intensity in the intensive care unit. The Europain® study. Am. J. Respir. Crit. Care Med. 189(1), 39–47. https://doi.org/10.1164/rccm.201306-1174OC (2014).

    Google Scholar 

  30. Oh, J. et al. Mutual relationship between anxiety and pain in the intensive care unit and its effect on medications. J. Crit. Care 30(5), 1043–1048 (2015).

    Google Scholar 

  31. Devlin, J. W. et al. Clinical practice guidelines for the prevention and management of pain, agitation/sedation, delirium, immobility, and sleep disruption in adult patients in the ICU. Crit. Care Med. 46(9), e825–e873 (2018).

    Google Scholar 

  32. Myhren, H. et al. Patients’ memory and psychological distress after ICU stay compared with expectations of the relatives. Intens. Care Med. 35(12), 2078. https://doi.org/10.1007/s00134-009-1614-1 (2009).

    Google Scholar 

  33. Cuthbertson, B. H., Hull, A., Strachan, M. & Scott, J. Post-traumatic stress disorder after critical illness requiring general intensive care. Intens. Care Med. 30(3), 450–455 (2004).

    Google Scholar 

  34. Ely, E. W. et al. Evaluation of delirium in critically ill patients: Validation of the confusion assessment method for the intensive care unit (CAM-ICU). Crit Care Med. 29(7), 1370–1379 (2001).

    Google Scholar 

  35. Goldberg, T. E. et al. Association of delirium with long-term cognitive decline. JAMA Neurol. 77(11), 1373 (2020).

    Google Scholar 

  36. Sakuramoto, H., Subrina, J., Unoki, T., Mizutani, T. & Komatsu, H. Severity of delirium in the ICU is associated with short term cognitive impairment. A prospective cohort study. Intens. Crit. Care Nurs. 31(4), 250–257 (2015).

    Google Scholar 

  37. Ko, R. E. et al. Association between the presence of delirium during intensive care unit admission and cognitive impairment or psychiatric problems: The Korean ICU national data study. J Intensive Care. 10(1), 7 (2022).

    Google Scholar 

  38. Wu, T. T. et al. Baseline anxiety and depression and risk for ICU delirium: A prospective cohort study. Crit. Care Explor 4(7), e0743. https://doi.org/10.1097/CCE.0000000000000743 (2022).

    Google Scholar 

  39. Andrews, P. S. et al. Delirium, depression, and long-term cognition. Int. Psychogeriatr 35(8), 433–438 (2023).

    Google Scholar 

  40. Barros de Oliveira, S. H. & Lins Fumis, R. R. Sex and spouse conditions influence symptoms of anxiety, depression, and posttraumatic stress disorder in both patients admitted to intensive care units and their spouses. Rev. Bras Ter Intensiva 30(1), 35–41 (2018).

    Google Scholar 

  41. Skalski, C. A., DiGerolamo, L. & Gigliotti, E. Stressors in five client populations: Neuman systems model-based literature review. J Adv Nurs. 56(1), 69–78 (2006).

    Google Scholar 

  42. Castillo, M. I., Aitken, L. M. & Cooke, M. L. Study protocol: Intensive care anxiety and emotional recovery (Icare)—A prospective study. Aust. Crit. Care 26(3), 142–147 (2013).

    Google Scholar 

  43. Salem, A. & Ahmad, M. M. Communication with invasive mechanically ventilated patients and the use of alternative devices: integrative review. J. Res. Nurs. 23(7), 614–630 (2018).

    Google Scholar 

  44. Forcano García, M., Ortiz, P. & de Pinedo, F. Deterioro cognitivo: uso de la versión corta del test del informador (IQCODE) en consultas de geriatría. Rev Esp Geriatr Gerontol. 37(2), 81–85 (2002).

    Google Scholar 

  45. Wagner, D. P. & Draper, E. A. Acute physiology and chronic health evaluation (APACHE II) and medicare reimbursement. Health Care Financ. Rev. 1984(Suppl), 91 (1984).

    Google Scholar 

  46. Charlson, M. E., Pompei, P., Ales, K. L. & MacKenzie, C. R. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J. Chronic. Dis. 40(5), 373–383 (1987).

    Google Scholar 

  47. Tobar, E. et al. Método para la evaluación de la confusión en la unidad de cuidados intensivos para el diagnóstico de delírium: adaptación cultural y validación de la versión en idioma español. Med. Intensiva. 34(1), 4–13 (2010).

    Google Scholar 

  48. Joyce, C. R. B., Zutshi, D. W., Hrubes, V. & Mason, R. M. Comparison of fixed interval and visual analogue scales for rating chronic pain. Eur. J. Clin. Pharmacol. 8(6), 415–420. https://doi.org/10.1007/BF00562315 (1975).

    Google Scholar 

  49. Cao, X. et al. A novel visual facial anxiety scale for assessing preoperative anxiety. PLoS ONE 12(2), e0171233 (2017).

    Google Scholar 

  50. Boonstra, A. M., Schiphorst Preuper, H. R., Balk, G. A. & Stewart, R. E. Cut-off points for mild, moderate, and severe pain on the visual analogue scale for pain in patients with chronic musculoskeletal pain. Pain 155(12), 2545–2550 (2014).

    Google Scholar 

  51. Nasreddine, Z. S. et al. The montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. J. Am. Geriatr. Soc. 53(4), 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x (2005).

    Google Scholar 

  52. Chahraoui, K., Laurent, A., Bioy, A. & Quenot, J. P. Psychological experience of patients 3 months after a stay in the intensive care unit: A descriptive and qualitative study. J. Crit. Care 30(3), 599–605 (2015).

    Google Scholar 

  53. Schwartzstein, R. M. & Campbell, M. L. Dyspnea and mechanical ventilation: The emperor has no clothes. Am. J. Respir. Crit. Care Med. 205(8), 864–865. https://doi.org/10.1164/rccm.202201-0078ED (2022).

    Google Scholar 

  54. Banzett, R. & Georgopoulos, D. Dyspnea in the ICU: It is difficult to see what patients feel. Am. J. Respir. Crit. Care Med. 208(1), 6–7. https://doi.org/10.1164/rccm.202304-0677ED (2023).

    Google Scholar 

  55. Christiansen, D. M. & Hansen, M. Accounting for sex differences in PTSD: A multi-variable mediation model. Eur. J. Psychotraumatol. 6(1), 26068. https://doi.org/10.3402/ejpt.v6.26068 (2015).

    Google Scholar 

  56. Ervin, J., Taouk, Y., Alfonzo, L. F., Hewitt, B. & King, T. Gender differences in the association between unpaid labour and mental health in employed adults: A systematic review. Lancet Public Health 7(9), e775–e786 (2022).

    Google Scholar 

  57. Lat, T. I., McGraw, M. K. & White, H. D. Gender differences in critical illness and critical care research. Clin. Chest. Med. 42(3), 543–555 (2021).

    Google Scholar 

  58. Bhardwaj, A., Sharma, M., Kumar, S., Sharma, S., Sharma, P. C. Transforming pediatric speech and language disorder diagnosis and therapy: The evolving role of artificial intelligence. health sciences review [Internet]. 2024 Jun; 100188. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2772632024000412

  59. Rose, L., Muttalib, F. & Adhikari, N. K. J. Psychological consequences of admission to the ICU. JAMA 322(3), 213 (2019).

    Google Scholar 

  60. Demoule, A. et al. Dyspnoea in acutely ill mechanically ventilated adult patients: An ERS/ESICM statement. Intensive Care Med. 50(2), 159–180. https://doi.org/10.1007/s00134-023-07246-x (2024).

    Google Scholar 

  61. Kalfon, P. et al. Risk factors and events in the adult intensive care unit associated with pain as self-reported at the end of the intensive care unit stay. Crit. Care. 24(1), 685 (2020).

    Google Scholar 

  62. Filipovic-Grcic, I., Tonkovic, D., Grubisin, J., Peric, M. & Kogler, V. M. Hospital anxiety depression scale in our surgical ICU. Crit Care. 14(Suppl 1), P499 (2010).

    Google Scholar 

  63. Segernäs, A., Skoog, J., Ahlgren Andersson, E., Almerud Österberg, S., Thulesius, H., Zachrisson, H. Prediction of Postoperative Delirium After Cardiac Surgery with A Quick Test of Cognitive Speed, Mini-Mental State Examination and Hospital Anxiety and Depression Scale. Clin Interv Aging [Internet]. 2022 Apr; Volume 17:359–68. Available from: https://www.dovepress.com/prediction-of-postoperative-delirium-after-cardiac-surgery-with-a-quic-peer-reviewed-fulltext-article-CIA

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Acknowledgements

The authors thank Michael Maudsley for his invaluable support in editing the manuscript. Special acknowledgements are due to all the patients who voluntarily agreed to participate in the study.

Funding

This work was supported by the Instituto de Salud Carlos III (ISCIII) under Grant number PI21/01592, La Marató 3CAT, under Grant numbers 202118 (413/C/2021) and 202214–30-31 (262/C/2022); CIBER -Consorcio Centro de Investigación Biomédica en Red- CB06/06/1097, ISCIII, Ministerio de Ciencia e Innovación and Unión Europea-European Regional Development Fund; CERCA Programme/Generalitat de Catalunya; and Fundació Institut d’Investigació i Innovació Parc Taulí-I3PT (CIR2017/032).

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Authors and Affiliations

  1. Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, International Excellence Campus, Bellaterra, Cerdanyola del Vallès, Barcelona, Spain

    E. Doña-López, M. Godoy-González, M. Jodar & S. Fernández-Gonzalo

  2. Critical Care Department, Hospital Universitari Parc Taulí, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain

    E. Doña-López, M. Godoy-González, A. Fernández-Olivares, G. Gomà, J. Estela Esteve, C. De Haro, E. Diaz Santos, L. Salarbous, L. Blanch, J. López-Aguilar & S. Fernández-Gonzalo

  3. Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain

    M. Godoy-González, G. Navarra-Ventura, G. Gomà, C. De Haro, L. Salarbous, L. Blanch & J. López-Aguilar

  4. Department of Medicine, University of the Balearic Islands (UIB), Palma, Balearic Islands, Spain

    G. Navarra-Ventura

  5. Research Institute of Health Sciences (IUNICS), University of the Balearic Islands (UIB), Palma, Balearic Islands, Spain

    G. Navarra-Ventura

  6. Health Research Institute of the Balearic Islands (IdISBa), Son Espases University Hospital, Palma, Balearic Islands, Spain

    G. Navarra-Ventura

  7. Department of Physical Medicine and Rehabilitation, Hospital Universitari Parc Taulí, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain

    J. Estela Esteve

  8. Neurology Department, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain

    M. Jodar

  9. Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain

    M. Jodar & S. Fernández-Gonzalo

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Contributions

EDL, MGG, AFO and SFG designed the study and the protocols. GG, JEE, CDH and EDS contributed in the sample recruitment and provided clinical expertise in designing the protocol. EDL, MGG, GNV, MJ and SFG provided psychological and neuropsychological advice in the design of the protocol. EDL, MGG, GNV and SFG performed the neuropsychological assessment. AFO, EDL and SFG performed the statistical analysis. EDL, SFG, LS, JLA and LB drafted the manuscript. All authors were involved in the interpretation of the results and approved the final version for publication.

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Correspondence to M. Godoy-González.

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Ethics approval and consent to participate

Data collection for each cohort was independently approved by the Institutional Review Board of the Parc Taulí University Hospital (2018/542, 2021/5088, 2022/6011). The reanalysis for the current project was approved. (2025/5057) and registered on ClinicalTrials.gov (NCT07153380) on September 3, 2025. All participants (or their authorized representatives) provided written informed consent prior to inclusion in the study.

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Doña-López, E., Godoy-González, M., Navarra-Ventura, G. et al. Trajectories of emotional and physical distress during ICU stay and their association with clinical factors and cognitive status at discharge. Sci Rep (2026). https://doi.org/10.1038/s41598-026-36684-y

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  • Received: 20 October 2025

  • Accepted: 14 January 2026

  • Published: 27 January 2026

  • DOI: https://doi.org/10.1038/s41598-026-36684-y

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Keywords

  • Emotional distress
  • Physical distress
  • Dyspnea
  • Pain
  • Anxiety
  • Sadness
  • ICU
  • Critically ill patients
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