Home Medicine Proadrenomedullin for prediction of early and mid-term mortality in patients hospitalized for community-acquired pneumonia
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Proadrenomedullin for prediction of early and mid-term mortality in patients hospitalized for community-acquired pneumonia

  • Amaia Artaraz ORCID logo EMAIL logo , Ane Uranga , Ana Jódar , Urko Aguirre , José María Quintana , Carmen Mar , Rosario Menéndez , Javier Aspa , Salvador Bello , Pedro Pablo España and Aitor Ballaz
Published/Copyright: September 8, 2025

Abstract

Objectives

Our study sought to determine the usefulness of biomarkers of systemic inflammation (C-reactive protein (CRP), procalcitonin (PCT) and proadrenomedullin (proADM)) on hospital admission, as compared to the CURB65 score, for predicting 30- and 90-day mortality in patients hospitalized for community acquired pneumonia (CAP).

Methods

Observational, prospective study of adults admitted for CAP in four Spanish teaching hospitals. Disease severity was determined within the first 24 h of diagnosis, using the CURB65 score. CRP, PCT and proADM levels were assessed from samples obtained in the Emergency Department (ED). We compared the capacity of the different biomarkers and the CURB65 score to predict pneumonia-related 30- and 90-day mortality.

Results

A total of 956 patients hospitalized with CAP were included, 462 in the internal and 494 in the external sample. Of the biomarkers, proADM showed the greatest AUC for predicting 30- and 90-day mortality (0.80 and 0.76 respectively). Mortality at 30 and 90 days increased as proADM levels rose. When proADM was used as a continuous variable, CURB65 showed a similar predictive capacity (AUC 0.80) to both crude and age-adjusted proADM (AUC 0.80 and 0.83 respectively) for 30-day mortality. The same was also true for 90-day mortality. However, proADM used as a categorical variable had a greater predictive capacity for 90-day mortality than the CURB65 score (<0.001).

Conclusions

Amongst patients admitted for CAP, the use of proADM obtained in the ED may be useful for identifying patients at greatest risk of mortality, with a similar predictive capacity to the CURB65 score.


Corresponding author: Amaia Artaraz, Respiratory Department, Galdakao-Usansolo University Hospital, Galdakao, Bizkaia, Spain, E-mail:

Acknowledgments

Authors would like to thank Tim Nicholson Language Services for improving the use of English in the manuscript.

  1. Research ethics: Our study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). Date of RBI: 21/01/2010 “Markers of inflammation in community-acquired pneumonia: analysis of their evolution and short- and medium-term predictive capacity. Subproject 2”.

  2. Informed consent: Verbal informed consent was obtained from all individuals included in this study, or their legal guardians or wards. Given that this is an observational study, with no additional medical intervention or modification of standard treatment, and considering that the data to be collected are obtained from the medical history and clinical interview without invasive implications, the use of verbal informed consent is proposed. This will be granted by each patient or their legal representative, and documented in the study records by the principal investigator. This method has been previously validated by the corresponding Ethics Committee, in accordance with the ethical principles of the Declaration of Helsinki and applicable local regulations.

  3. Author contributions: PPE, AU, RM, JA, SB contributed to the study design, data collection and data interpretation. AA wrote the manuscript. PPE, RM, JA, SB took responsibility for study design, data integrity review, editing and approval the final version. UA carried out data analysis and review the manuscript. JMQ contributed to the study design, review and approval the final version. AJ, AB, CM, RM, JA and SB contributed substantially to acquisition and interpretation of data. All authors reviewed critically the manuscript. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: It should be mentioned that Thermo FisherScientific subsidized our proadrenomedullin reagents. Thermo Fisher Scientific is a leading global life sciences company, offering a broad range of products and services for research, diagnostics, and industrial applications. It manufactures and distributes laboratory equipment, reagents, software, and services, and also offers research solutions in areas such as molecular biology, proteomics, and clinical diagnostics.

  7. Data availability: Not applicable.

References

1. Kochanek, KD, Xu, J, Murphy, SL, Miniño, AM, Kung, HC. National vital statistics reports 2012;60:1–115. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr60/nvsr60_03.pdf.Search in Google Scholar

2. Almirall, J, Bolibar, I, Vidal, J, Sauca, G, Coll, P, Niklasson, B, et al.. Epidemiology of community-acquired pneumonia in adults: a population-based study. Eur Respir J 2000;15:757–63. https://doi.org/10.1034/j.1399-3003.2000.15d21.x.Search in Google Scholar PubMed

3. Feagan, BG, Marrie, TJ, Lau, CY, Wheeler, SL, Wong, CJ, Vandervoort, MK. Treatment and outcomes of community-acquired pneumonia at Canadian hospitals. CMAJ 2000;162:1415–20.Search in Google Scholar

4. Guest, JF, Morris, A. Community-acquired pneumonia: the annual cost to the national health service in the UK. Eur Respir J 1997;10:1530–4. https://doi.org/10.1183/09031936.97.10071530.Search in Google Scholar PubMed

5. Fine, MJ, Stone, RA, Singer, DE, Coley, CM, Marrie, TJ, Lave, JR, et al.. Processes and outcomes of care for patients with community-acquired pneumonia. Arch Intern Med 1999;159:970. https://doi.org/10.1001/archinte.159.9.970.Search in Google Scholar PubMed

6. Fine, MJ, Auble, TE, Yealy, DM, Hanusa, BH, Weissfeld, LA, Singer, DE, et al.. A prediction rule to identify low-risk patients with community-acquired pneumonia. N Engl J Med 1997;336:243–50. https://doi.org/10.1056/nejm199701233360402.Search in Google Scholar PubMed

7. Menéndez, R, Cilloniz, C, España, PP, Almirall, J, Uranga, A, Méndez, R, et al.. Neumonía Adquirida en la Comunidad. Normativa de la sociedad española de neumología Y Cirugía Torácica (Separ). actualización 2020. Arch Bronconeumol 2020;56:1–10.10.1016/j.arbres.2020.01.014Search in Google Scholar

8. Menéndez, R, Torres, A, Aspa, J, Capelastegui, A, Prat, C, Rodríguez de Castro, F. Neumonía adquirida en la comunidad. Nueva normativa de la Sociedad Española de Neumología y Cirugía Torácica (SEPAR). Arch Bronconeumol 2010;46:543–58.10.1016/j.arbres.2010.06.014Search in Google Scholar PubMed

9. Lim, WS, van der Eerden, MM, Laing, R, Boersma, WG, Karalus, N, Town, GI, et al.. Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study. Thorax 2003;58:377–82. https://doi.org/10.1136/thorax.58.5.377.Search in Google Scholar PubMed PubMed Central

10. España, PP, Capelastegui, A, Gorordo, I, Esteban, C, Oribe, M, Ortega, M, et al.. Development and validation of a clinical prediction rule for severe community-acquired pneumonia. Am J Respir Crit Care Med 2006;174:1249–56. https://doi.org/10.1164/rccm.200602-177oc.Search in Google Scholar PubMed

11. Christ-Crain, M, Opal, SM. Clinical review: the role of biomarkers in the diagnosis and management of community-acquired pneumonia. Crit Care 2010;14:203. https://doi.org/10.1186/cc8155.Search in Google Scholar PubMed PubMed Central

12. Brown, JS. Biomarkers and community-acquired pneumonia. Thorax 2009;64:556–8. https://doi.org/10.1136/thx.2008.110254.Search in Google Scholar PubMed

13. Menendez, R, Martinez, R, Reyes, S, Mensa, J, Filella, X, Marcos, MA, et al.. Biomarkers improve mortality prediction by prognostic scales in community-acquired pneumonia. Thorax 2009;64:587–91. https://doi.org/10.1136/thx.2008.105312.Search in Google Scholar PubMed

14. España, PP, Capelastegui, A, Mar, C, Bilbao, A, Quintana, JM, Diez, R, et al.. Performance of Pro-adrenomedullin for identifying adverse outcomes in community-acquired pneumonia. J Infect 2014;70:457–66. https://doi.org/10.1016/j.jinf.2014.12.003.Search in Google Scholar PubMed

15. Legramante, JM, Mastropasqua, M, Susi, B, Porzio, O, Mazza, M, Miranda, AG, et al.. Prognostic performance of MR-pro-adrenomedullin in patients with community acquired pneumonia in the emergency department compared to clinical severity scores PSI and CURB. PLoS One 2017;12:e0187702. https://doi.org/10.1371/journal.pone.0187702.Search in Google Scholar PubMed PubMed Central

16. Bello, S, Lasierra, A, Mincholé, E, Fandos, S, Ruiz, M, Vera, E, et al.. Prognostic power of proadrenomedullin in community-acquired pneumonia is independent of aetiology. Eur Respir J 2012;39:1144–55. https://doi.org/10.1183/09031936.00080411.Search in Google Scholar PubMed

17. Krüger, S, Ewig, S, Giersdorf, S, Hartmann, O, Suttorp, N, Welte, T. Cardiovascular and inflammatory biomarkers to predict short- and long-term survival in community-acquired pneumonia. Am J Respir Crit Care Med 2010;182:1426–34. https://doi.org/10.1164/rccm.201003-0415oc.Search in Google Scholar PubMed

18. Christ-Crain, M, Morgenthaler, NG, Stolz, D, Müller, C, Bingisser, R, Harbarth, S, et al.. Pro-adrenomedullin to predict severity and outcome in community-acquired pneumonia [ISRCTN04176397]. Crit Care 2006;10:R96. https://doi.org/10.1186/cc4955.Search in Google Scholar PubMed PubMed Central

19. Schuetz, P, Wolbers, M, Christ-Crain, M, Thomann, R, Falconier, C, Widmer, I, et al.. Prohormones for prediction of adverse medical outcome in community-acquired pneumonia and lower respiratory tract infections. Crit Care 2010;14:R106. https://doi.org/10.1186/cc9055.Search in Google Scholar PubMed PubMed Central

20. Huang, DT, Angus, DC, Kellum, JA, Pugh, NA, Weissfeld, LA, Struck, J, et al.. Midregional proadrenomedullin as a prognostic tool in community-acquired pneumonia. Chest. 200;136:823–31. https://doi.org/10.1378/chest.08-1981.Search in Google Scholar PubMed PubMed Central

21. Kruger, S, Ewig, S, Marre, R, Papassotiriou, J, Richter, K, von Baum, H, et al.. Procalcitonin predicts patients at low risk of death from community-acquired pneumonia across all CRB-65 classes. Eur Respir J 2008;31:349–55. https://doi.org/10.1183/09031936.00054507.Search in Google Scholar PubMed

22. Sungurlu, S, Balk, RA. The role of biomarkers in the diagnosis and management of pneumonia. Clin Chest Med 2018;39:691–701. https://doi.org/10.1016/j.ccm.2018.07.004.Search in Google Scholar PubMed

23. Nickler, M, Schaffner, D, Christ-Crain, M, Ottiger, M, Thomann, R, Hoess, C, et al.. Prospective evaluation of biomarkers for prediction of quality of life in community-acquired pneumonia. Clin Chem Lab Med 2016;54:1831–46. https://doi.org/10.1515/cclm-2016-0001.Search in Google Scholar PubMed

24. Pereira, JM, Paiva, JA, Rello, J. Severe sepsis in community-acquired pneumonia – early recognition and treatment. Eur J Intern Med 2012;23:412–9. https://doi.org/10.1016/j.ejim.2012.04.016.Search in Google Scholar PubMed

25. Haag, E, Gregoriano, C, Molitor, A, Kloter, M, Kutz, A, Mueller, B, et al.. Does mid-regional Pro-adrenomedullin (MR-proADM) improve the sequential organ failure assessment-score (SOFA score) for mortality-prediction in patients with acute infections? Results of a prospective observational study. Clin Chem Lab Med 2021;59:1165–76. https://doi.org/10.1515/cclm-2020-1566.Search in Google Scholar PubMed

26. Moore, N, Williams, R, Mori, M, Bertolusso, B, Vernet, G, Lynch, J, et al.. Mid-regional proadrenomedullin (MR-proADM), C-reactive protein (CRP) and other biomarkers in the early identification of disease progression in patients with COVID-19 in the acute NHS setting. J Clin Pathol 2022;76:400–6. https://doi.org/10.1136/jclinpath-2021-207750.Search in Google Scholar PubMed

27. Long, B, Koyfman, A. Ready for prime time? Biomarkers in sepsis. Emerg Med Clin N Am 2017;35:109–22. https://doi.org/10.1016/j.emc.2016.09.004.Search in Google Scholar PubMed

28. Pereira, JM, Azevedo, A, Basílio, C, Sousa-Dias, C, Mergulhão, P, Paiva, JA. Mid-regional proadrenomedullin: an early marker of response in critically ill patients with severe community-acquired pneumonia? Rev Port Pneumol (English Edition) 2016;22:308–14. https://doi.org/10.1016/j.rppnen.2016.03.012.Search in Google Scholar PubMed

29. Stalenhoef, JE, van Nieuwkoop, C, Wilson, DC, van der Starre, WE, Delfos, NM, Leyten, EMS, et al.. Biomarker guided triage can reduce hospitalization rate in community acquired febrile urinary tract infection. J Infect 2018;77:18–24. https://doi.org/10.1016/j.jinf.2018.05.007.Search in Google Scholar PubMed

30. Barrio, I, Arostegui, I, Rodríguez-Álvarez, MX, Quintana, JM. A new approach to categorising continuous variables in prediction models: proposal and validation. Stat Methods Med Res 2017;26:2586–602. https://doi.org/10.1177/0962280215601873.Search in Google Scholar PubMed

31. Restrepo, MI, Faverio, P, Anzueto, A. Long-term prognosis in community-acquired pneumonia. Curr Opin Infect Dis 2013;26:151–8. https://doi.org/10.1097/qco.0b013e32835ebc6d.Search in Google Scholar

32. Carlos, P, Gomes, R, Coelho, J, Chaves, C, Tuna, C, Louro, M. CURB-65 and long-term mortality of community-acquired pneumonia: a retrospective study on hospitalized patients. Cureus 2023;15:e36052. https://doi.org/10.7759/cureus.36052.Search in Google Scholar PubMed PubMed Central

33. Mortensen, E, Metersky, M. Long-term mortality after pneumonia. Semin Respir Crit Care Med 2012;33:319–24. https://doi.org/10.1055/s-0032-1315644.Search in Google Scholar PubMed

34. Mortensen, EM, Kapoor, WN, Chang, CCH, Fine, MJ. Assessment of mortality after long-term follow-up of patients with community acquired pneumonia. Clin Infect Dis 2003;37:1617–24. https://doi.org/10.1086/379712.Search in Google Scholar PubMed

35. Saeed, K, Wilson, DC, Bloos, F, Schuetz, P, van der Does, Y, Melander, O, et al.. The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study. Crit Care 2019;23:40. https://doi.org/10.1186/s13054-019-2329-5.Search in Google Scholar PubMed PubMed Central

36. González, J, Wilson, DC, Clemente-Callejo, C, Román, F, Bardés-Robles, I, Jiménez, I, et al.. Biomarkers and clinical scores to identify patient populations at risk of delayed antibiotic administration or intensive care admission. Crit Care 2019;23:335. https://doi.org/10.1186/s13054-019-2613-4.Search in Google Scholar PubMed PubMed Central

37. Schuetz, P, Litke, A, Albrich, WC, Mueller, B. Blood biomarkers for personalized treatment and patient management decisions in community-acquired pneumonia. Curr Opin Infect Dis 2013;26:159–67. https://doi.org/10.1097/qco.0b013e32835d0bec.Search in Google Scholar PubMed

38. Albrich, WC, Rüegger, K, Dusemund, F, Schuetz, P, Birsen, A, Litke, A, et al.. Biomarker-enhanced triage in respiratory infections: a proof-of-concept feasibility trial. Eur Respir J 2013;42:1064–75. https://doi.org/10.1183/09031936.00113612.Search in Google Scholar PubMed PubMed Central

39. Li, Q, Wang, BS, Yang, L, Peng, C, Ma, LB, Chai, C. Assessment of adrenomedullin and proadrenomedullin as predictors of mortality in septic patients: a systematic review and meta-analysis. Med Intensiva 2018;42:416–24. https://doi.org/10.1016/j.medine.2017.10.013.Search in Google Scholar

40. Lo, SB, Gambino, CM, Scichilone, N, Giglio, RV, Bivona, G, Scazzone, C, et al.. Clinical utility of midregional proadrenomedullin in patients with COVID-19. Lab Med 2021;52:493–8. https://doi.org/10.1093/labmed/lmab032.Search in Google Scholar PubMed PubMed Central

41. Sozio, E, Tascini, C, Fabris, M, D’Aurizio, F, De Carlo, C, Graziano, E, et al.. MR-proADM as prognostic factor of outcome in COVID-19 patients. Sci Rep 2021;11:5121. https://doi.org/10.1038/s41598-021-84478-1.Search in Google Scholar PubMed PubMed Central

42. Minieri, M, Di, VN, Lia, MS, Maurici, M, Leonardis, F, Longo, S, et al.. Predictive value of MR-proADM in the risk stratification and in the adequate care setting of COVID-19 patients assessed at the triage of the emergency department. Diagnostics 2022;12:1971–1. https://doi.org/10.3390/diagnostics12081971.Search in Google Scholar PubMed PubMed Central

43. D’Agostini, C, Legramante, JM, Minieri, M, Di Lecce, VN, Lia, MS, Maurici, M, et al.. Correlation between chest computed tomography score and laboratory biomarkers in the risk stratification of COVID-19 patients admitted to the emergency department. Diagnostics 2023;13:2829. https://doi.org/10.3390/diagnostics13172829.Search in Google Scholar PubMed PubMed Central

44. Alan, M, Grolimund, E, Kutz, A, Christ-Crain, M, Thomann, R, Falconnier, C, et al.. Clinical risk scores and blood biomarkers as predictors of long-term outcome in patients with community-acquired pneumonia: a 6-year prospective follow-up study. J Intern Med 2015;278:174–84. https://doi.org/10.1111/joim.12341.Search in Google Scholar PubMed

45. Uranga, A, Quintana, JM, Aguirre, U, Artaraz, A, Diez, R, Pascual, S, et al.. Predicting 1-year mortality after hospitalization for community-acquired pneumonia. PLoS One 2018;13:e0192750. https://doi.org/10.1371/journal.pone.0192750.Search in Google Scholar PubMed PubMed Central

46. Corrales-Medina, VF, Alvarez, KN, Weissfeld, LA, Angus, DC, Chirinos, JA, Chang, CCH, et al.. Association between hospitalization for pneumonia and subsequent risk of cardiovascular disease. JAMA 2015;313:264. https://doi.org/10.1001/jama.2014.18229.Search in Google Scholar PubMed PubMed Central

47. Menéndez, R, Méndez, R, Aldás, I, Reyes, S, Gonzalez-Jimenez, P, España, PP, et al.. Community-acquired pneumonia patients at risk for early and long-term cardiovascular events are identified by cardiac biomarkers. Chest 2019;156:1080–91. https://doi.org/10.1016/j.chest.2019.06.040.Search in Google Scholar PubMed


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2025-0481).


Received: 2025-04-18
Accepted: 2025-08-30
Published Online: 2025-09-08
Published in Print: 2026-01-27

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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