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Pan-immune inflammation value; a novel biomarker reflecting inflammation associated with frailty

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Abstract

Background

Frailty is suggested to be associated with age-related changes in the immune system, namely immunosenescence. Few studies have investigated the association of frailty with circulating immune biomarkers reflecting immunosenescence. Pan-immune inflammation value (PIV) is a new composite circulating immune biomarker to predict inflammation status.

Aim

This study aimed to assess the relationship between PIV and frailty.

Methods

A total of 405 geriatric patients were enrolled in the study. All participants underwent a comprehensive geriatric assessment. The comorbidity burden was evaluated with Charlson Comorbidity Index. Frailty status was evaluated via the Clinical Frailty Scale (CFS), and patients with CFS scores ≥ 5 were defined as living with frailty. PIV was calculated using the formula: (Neutrophil × monocyte × platelet)/lymphocyte. Patients were defined as PIV-low (≤ 372) and PIV-high (> 372).

Results

The median age of participants was 72 (IQR = 67–78) years and; 63.0% (n = 225) were female. Patients were divided into two categories (i.e., robust and living with frailty groups), and 320 (79.0%) and 85 (21.0%) patients were in each group, respectively. Median PIV was higher in the living with frailty group (p = 0.008). In the linear and logistic regression analyses, both PIV and PIV-high (> 372) were significantly associated with frailty independently of confounders.

Discussion and conclusion

This is the first study revealing the relationship between PIV and frailty. PIV may be seen as a novel biomarker reflecting inflammation associated with frailty.

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References

  1. Fried LP, Ferrucci L, Darer J et al (2004) Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. J Gerontol A Biol Sci Med Sci 59:255–263

    Article  PubMed  Google Scholar 

  2. Franceschi C, Bonafè M, Valensin S et al (2000) Inflamm-aging. An evolutionary perspective on immunosenescence. Ann N Y Acad Sci 908:244–254

    Article  CAS  PubMed  Google Scholar 

  3. Cesari M, Penninx BW, Newman AB et al (2003) Inflammatory markers and onset of cardiovascular events: results from the Health ABC study. Circulation 108:2317–2322

    Article  CAS  PubMed  Google Scholar 

  4. Odegaard AO, Jacobs DR Jr, Sanchez OA et al (2016) Oxidative stress, inflammation, endothelial dysfunction and incidence of type 2 diabetes. Cardiovasc Diabetol 15:51

    Article  PubMed  PubMed Central  Google Scholar 

  5. Grivennikov SI, Greten FR, Karin M (2010) Immunity, inflammation, and cancer. Cell 140:883–899

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Visser M, Pahor M, Taaffe DR et al (2002) Relationship of interleukin-6 and tumor necrosis factor-alpha with muscle mass and muscle strength in elderly men and women: the Health ABC Study. J Gerontol A Biol Sci Med Sci 57:M326-332

    Article  PubMed  Google Scholar 

  7. Cesari M, Penninx BW, Pahor M et al (2004) Inflammatory markers and physical performance in older persons: the InCHIANTI study. J Gerontol A Biol Sci Med Sci 59:242–248

    Article  PubMed  Google Scholar 

  8. Ferrucci L, Fabbri E (2018) Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty. Nat Rev Cardiol 15:505–522

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. van der Willik KD, Fani L, Rizopoulos D et al (2019) Balance between innate versus adaptive immune system and the risk of dementia: a population-based cohort study. J Neuroinflammation 16:68

    Article  PubMed  PubMed Central  Google Scholar 

  10. Fani L, van der Willik KD, Bos D et al (2020) The association of innate and adaptive immunity, subclinical atherosclerosis, and cardiovascular disease in the Rotterdam Study: a prospective cohort study. PLoS Med 17:e1003115

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Yekedüz E, Tural D, Ertürk İ et al (2022) The relationship between pan-immune-inflammation value and survival outcomes in patients with metastatic renal cell carcinoma treated with nivolumab in the second line and beyond: a Turkish oncology group kidney cancer consortium (TKCC) study. J Cancer Res Clin Oncol 148:3537–3546

    Article  PubMed  Google Scholar 

  12. Corti F, Lonardi S, Intini R et al (2021) The Pan-Immune-Inflammation Value in microsatellite instability-high metastatic colorectal cancer patients treated with immune checkpoint inhibitors. Eur J Cancer 150:155–167

    Article  CAS  PubMed  Google Scholar 

  13. Zhang H, Hao M, Hu Z et al (2022) Association of immunity markers with the risk of incident frailty: the Rugao longitudinal aging study. Immun Ageing 19:1

    Article  PubMed  PubMed Central  Google Scholar 

  14. Yesavage JA, Brink TL, Rose TL et al (1982) Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res 17:37–49

    Article  PubMed  Google Scholar 

  15. Ertan T, Eker E (2000) Reliability, validity, and factor structure of the geriatric depression scale in Turkish elderly: are there different factor structures for different cultures? Int Psychogeriatr 12:163–172

    Article  CAS  PubMed  Google Scholar 

  16. Folstein MF, Folstein SE, McHugh PR (1975) “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12:189–198

    Article  CAS  PubMed  Google Scholar 

  17. Güngen C, Ertan T, Eker E et al (2002) Reliability and validity of the standardized Mini Mental State Examination in the diagnosis of mild dementia in Turkish population. Turk Psikiyatri Derg 13:273–281

    PubMed  Google Scholar 

  18. Guigoz Y, Lauque S, Vellas BJ (2002) Identifying the elderly at risk for malnutrition. The Mini Nutritional Assessment. Clin Geriatr Med 18:737–757

  19. Sarikaya D, Halil M, Kuyumcu ME et al (2015) Mini nutritional assessment test long and short form are valid screening tools in Turkish older adults. Arch Gerontol Geriatr 61:56–60

    Article  PubMed  Google Scholar 

  20. Arik G, Varan HD, Yavuz BB et al (2015) Validation of Katz index of independence in activities of daily living in Turkish older adults. Arch Gerontol Geriatr 61:344–350

    Article  PubMed  Google Scholar 

  21. Katz S, Ford AB, Moskowitz RW et al (1963) Studies of illness in the aged. The index of adl: a standardized measure of biological and psychosocial function. JAMA 185:914–919

  22. Lawton MP, Brody EM (1969) Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9:179–186

    Article  CAS  PubMed  Google Scholar 

  23. Isik EI, Yilmaz S, Uysal I et al (2020) Adaptation of the Lawton instrumental activities of daily living scale to Turkish: validity and reliability study. Ann Geriatric Med Res 24:35

    Article  Google Scholar 

  24. Charlson ME, Pompei P, Ales KL et al (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383

    Article  CAS  PubMed  Google Scholar 

  25. Sundararajan V, Henderson T, Perry C et al (2004) New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol 57:1288–1294

    Article  PubMed  Google Scholar 

  26. Rockwood K, Song X, MacKnight C et al (2005) A global clinical measure of fitness and frailty in elderly people. CMAJ 173:489–495

    Article  PubMed  PubMed Central  Google Scholar 

  27. Özsürekci C, Balci C, Kizilarslanoğlu MC et al (2020) An important problem in an aging country: identifying the frailty via 9 Point Clinical Frailty Scale. Acta Clin Belg 75:200–204

    Article  PubMed  Google Scholar 

  28. Fucà G, Guarini V, Antoniotti C et al (2020) The Pan-Immune-Inflammation Value is a new prognostic biomarker in metastatic colorectal cancer: results from a pooled-analysis of the Valentino and TRIBE first-line trials. Br J Cancer 123:403–409

    Article  PubMed  PubMed Central  Google Scholar 

  29. Sepúlveda M, Arauna D, García F et al (2022) Frailty in aging and the search for the optimal biomarker: a review. Biomedicines 10:1426

  30. Vatic M, von Haehling S, Ebner N (2020) Inflammatory biomarkers of frailty. Exp Gerontol 133:110858

    Article  PubMed  Google Scholar 

  31. Xu Y, Wang M, Chen D et al (2022) Inflammatory biomarkers in older adults with frailty: a systematic review and meta-analysis of cross-sectional studies. Aging Clin Exp Res 34:971–987

    Article  PubMed  Google Scholar 

  32. Hernández B, Fuentes E, Palomo I et al (2019) Increased platelet function during frailty. Exp Hematol 77:12-25.e12

    Article  PubMed  Google Scholar 

  33. Núñez J, Sastre C, D’Ascoli G et al (2020) Relation of low lymphocyte count to frailty and its usefulness as a prognostic biomarker in patients >65 years of age with acute coronary syndrome. Am J Cardiol 125:1033–1038

    Article  PubMed  Google Scholar 

  34. Soysal P, Stubbs B, Lucato P et al (2016) Inflammation and frailty in the elderly: a systematic review and meta-analysis. Ageing Res Rev 31:1–8

    Article  CAS  PubMed  Google Scholar 

  35. Guven DC, Sahin TK, Erul E et al (2002) The association between the pan-immune-inflammation value and cancer prognosis: a systematic review and meta-analysis. Cancers (Basel) 14:2675

  36. Şahin AB, Cubukcu E, Ocak B et al (2021) Low pan-immune-inflammation-value predicts better chemotherapy response and survival in breast cancer patients treated with neoadjuvant chemotherapy. Sci Rep 11:14662

    Article  PubMed  PubMed Central  Google Scholar 

  37. Lee LE, Ahn SS, Pyo JY et al (2021) Pan-immune-inflammation value at diagnosis independently predicts all-cause mortality in patients with antineutrophil cytoplasmic antibody-associated vasculitis. Clin Exp Rheumatol 39 Suppl 129:88–93

  38. Murat B, Murat S, Ozgeyik M et al (2023) Comparison of pan-immune-inflammation value with other inflammation markers of long-term survival after ST-segment elevation myocardial infarction. Eur J Clin Invest 53:e13872

    Article  CAS  PubMed  Google Scholar 

  39. Zhang F, Li L, Wu X et al (2023) Pan-immune-inflammation value is associated with poor prognosis in patients undergoing peritoneal dialysis. Ren Fail 45:2158103

    Article  PubMed  PubMed Central  Google Scholar 

  40. Gambichler T, Hessam S, Cramer P et al (2022) Complete blood collection-based systemic inflammation biomarkers for patients with hidradenitis suppurativa. J Eur Acad Dermatol Venereol 36:1593–1596

    Article  CAS  PubMed  Google Scholar 

  41. Pace S, Sautebin L, Werz O (2017) Sex-biased eicosanoid biology: impact for sex differences in inflammation and consequences for pharmacotherapy. Biochem Pharmacol 145:1–11

    Article  CAS  PubMed  Google Scholar 

  42. Friedman E, Shorey C (2019) Inflammation in multimorbidity and disability: an integrative review. Health Psychol 38:791–801

    Article  PubMed  PubMed Central  Google Scholar 

  43. Wang W, Liang S, Guo X et al (2023) Association of the malnutrition-inflammation score with physical function and functional disability in elderly patients with chronic kidney disease. Asia Pac J Clin Nutr 32:57–62

    CAS  PubMed  Google Scholar 

  44. Schmidt R, Schmidt H, Curb JD et al (2002) Early inflammation and dementia: a 25-year follow-up of the Honolulu-Asia Aging Study. Ann Neurol 52:168–174

    Article  PubMed  Google Scholar 

  45. Rockwood K, Theou O (2020) Using the clinical frailty scale in allocating scarce health care resources. Can Geriatr J 23:210–215

    Article  PubMed  PubMed Central  Google Scholar 

  46. Church S, Rogers E, Rockwood K et al (2020) A scoping review of the clinical frailty scale. BMC Geriatr 20:393

    Article  PubMed  PubMed Central  Google Scholar 

  47. Xu W, Liang Y, Lin Z (2021) Association between neutrophil-lymphocyte ratio and frailty: the chinese longitudinal healthy longevity survey. Front Med (Lausanne) 8:783077

    Article  PubMed  Google Scholar 

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Acknowledgements

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Funding

This research did not receive any funding from agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

Authors

Contributions

AOB, and CB equally contributed to the conception and design of the research; AOB, MG, SC, ZŞ and MH equally contributed to the acquisition and analysis of the data; AOB, MH, BBD and MC equally contributed to the interpretation of the data; AOB, and CB critically revised the manuscript and drafted the manuscript. All authors agree to be fully accountable for ensuring the integrity and accuracy of the work and read and approved the final manuscript.

Corresponding author

Correspondence to Arzu Okyar Baş.

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Conflict of interest

The authors declare that they have no conflict of interest.

Human and animal rights

The study's ethics approval has taken from the Ankara Hacettepe University Department of Medicine clinical research ethics committee, and the decision number is 2022/13–26 (GO 22/771). 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 Declaration of Helsinki and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Okyar Baş, A., Güner, M., Ceylan, S. et al. Pan-immune inflammation value; a novel biomarker reflecting inflammation associated with frailty. Aging Clin Exp Res 35, 1641–1649 (2023). https://doi.org/10.1007/s40520-023-02457-0

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