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

Frailty Immunosenescence Inflammaging Inflammation Pan-immune inflammation value

Journal

Aging clinical and experimental research
ISSN: 1720-8319
Titre abrégé: Aging Clin Exp Res
Pays: Germany
ID NLM: 101132995

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 26 02 2023
accepted: 26 05 2023
medline: 24 7 2023
pubmed: 8 6 2023
entrez: 8 6 2023
Statut: ppublish

Résumé

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

Sections du résumé

BACKGROUND 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 OBJECTIVE
This study aimed to assess the relationship between PIV and frailty.
METHODS 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 37289361
doi: 10.1007/s40520-023-02457-0
pii: 10.1007/s40520-023-02457-0
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1641-1649

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Références

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
pubmed: 15031310 doi: 10.1093/gerona/59.3.M255
Franceschi C, Bonafè M, Valensin S et al (2000) Inflamm-aging. An evolutionary perspective on immunosenescence. Ann N Y Acad Sci 908:244–254
pubmed: 10911963 doi: 10.1111/j.1749-6632.2000.tb06651.x
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
pubmed: 14568895 doi: 10.1161/01.CIR.0000097109.90783.FC
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
pubmed: 27013319 pmcid: 4806507 doi: 10.1186/s12933-016-0369-6
Grivennikov SI, Greten FR, Karin M (2010) Immunity, inflammation, and cancer. Cell 140:883–899
pubmed: 20303878 pmcid: 2866629 doi: 10.1016/j.cell.2010.01.025
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
pubmed: 11983728 doi: 10.1093/gerona/57.5.M326
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
pubmed: 15031308 doi: 10.1093/gerona/59.3.M242
Ferrucci L, Fabbri E (2018) Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty. Nat Rev Cardiol 15:505–522
pubmed: 30065258 pmcid: 6146930 doi: 10.1038/s41569-018-0064-2
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
pubmed: 30927918 pmcid: 6441146 doi: 10.1186/s12974-019-1454-z
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
pubmed: 32379748 pmcid: 7205222 doi: 10.1371/journal.pmed.1003115
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
pubmed: 35616728 doi: 10.1007/s00432-022-04055-5
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
pubmed: 33901794 doi: 10.1016/j.ejca.2021.03.043
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
pubmed: 34980175 pmcid: 8722120 doi: 10.1186/s12979-021-00257-6
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
pubmed: 7183759 doi: 10.1016/0022-3956(82)90033-4
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
pubmed: 10937537 doi: 10.1017/S1041610200006293
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
pubmed: 1202204 doi: 10.1016/0022-3956(75)90026-6
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: 12794644
Guigoz Y, Lauque S, Vellas BJ (2002) Identifying the elderly at risk for malnutrition. The Mini Nutritional Assessment. Clin Geriatr Med 18:737–757
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
pubmed: 25944059 doi: 10.1016/j.archger.2015.04.006
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
pubmed: 26328478 doi: 10.1016/j.archger.2015.08.019
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
Lawton MP, Brody EM (1969) Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9:179–186
pubmed: 5349366 doi: 10.1093/geront/9.3_Part_1.179
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
doi: 10.4235/agmr.19.0051
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
pubmed: 3558716 doi: 10.1016/0021-9681(87)90171-8
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
pubmed: 15617955 doi: 10.1016/j.jclinepi.2004.03.012
Rockwood K, Song X, MacKnight C et al (2005) A global clinical measure of fitness and frailty in elderly people. CMAJ 173:489–495
pubmed: 16129869 pmcid: 1188185 doi: 10.1503/cmaj.050051
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
pubmed: 30919742 doi: 10.1080/17843286.2019.1597457
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
pubmed: 32424148 pmcid: 7403416 doi: 10.1038/s41416-020-0894-7
Sepúlveda M, Arauna D, García F et al (2022) Frailty in aging and the search for the optimal biomarker: a review. Biomedicines 10:1426
Vatic M, von Haehling S, Ebner N (2020) Inflammatory biomarkers of frailty. Exp Gerontol 133:110858
pubmed: 32007546 doi: 10.1016/j.exger.2020.110858
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
pubmed: 34981430 doi: 10.1007/s40520-021-02022-7
Hernández B, Fuentes E, Palomo I et al (2019) Increased platelet function during frailty. Exp Hematol 77:12-25.e12
pubmed: 31476327 doi: 10.1016/j.exphem.2019.08.006
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
pubmed: 31959430 doi: 10.1016/j.amjcard.2020.01.006
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
pubmed: 27592340 doi: 10.1016/j.arr.2016.08.006
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
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
pubmed: 34282214 pmcid: 8289916 doi: 10.1038/s41598-021-94184-7
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
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
pubmed: 36097823 doi: 10.1111/eci.13872
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
pubmed: 36632816 pmcid: 9848369 doi: 10.1080/0886022X.2022.2158103
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
pubmed: 35462426 doi: 10.1111/jdv.18175
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
pubmed: 28647490 doi: 10.1016/j.bcp.2017.06.128
Friedman E, Shorey C (2019) Inflammation in multimorbidity and disability: an integrative review. Health Psychol 38:791–801
pubmed: 31436464 pmcid: 6709716 doi: 10.1037/hea0000749
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
pubmed: 36997486
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
pubmed: 12210786 doi: 10.1002/ana.10265
Rockwood K, Theou O (2020) Using the clinical frailty scale in allocating scarce health care resources. Can Geriatr J 23:210–215
pubmed: 32904824 pmcid: 7458601 doi: 10.5770/cgj.23.463
Church S, Rogers E, Rockwood K et al (2020) A scoping review of the clinical frailty scale. BMC Geriatr 20:393
pubmed: 33028215 pmcid: 7540438 doi: 10.1186/s12877-020-01801-7
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
pubmed: 35047530 doi: 10.3389/fmed.2021.783077

Auteurs

Arzu Okyar Baş (A)

Department of Internal Medicine, Division of Geriatrics, Hacettepe University Medical School, Altindag, Ankara, Turkey. arzu0506@hotmail.com.

Merve Güner (M)

Department of Internal Medicine, Division of Geriatrics, Hacettepe University Medical School, Altindag, Ankara, Turkey.

Serdar Ceylan (S)

Department of Internal Medicine, Division of Geriatrics, Hacettepe University Medical School, Altindag, Ankara, Turkey.

Merve Hafızoğlu (M)

Department of Internal Medicine, Division of Geriatrics, Hacettepe University Medical School, Altindag, Ankara, Turkey.

Zeynep Şahiner (Z)

Department of Internal Medicine, Division of Geriatrics, Hacettepe University Medical School, Altindag, Ankara, Turkey.

Burcu Balam Doğu (BB)

Department of Internal Medicine, Division of Geriatrics, Hacettepe University Medical School, Altindag, Ankara, Turkey.

Meltem Gülhan Halil (MG)

Department of Internal Medicine, Division of Geriatrics, Hacettepe University Medical School, Altindag, Ankara, Turkey.

Mustafa Cankurtaran (M)

Department of Internal Medicine, Division of Geriatrics, Hacettepe University Medical School, Altindag, Ankara, Turkey.

Cafer Balcı (C)

Department of Internal Medicine, Division of Geriatrics, Hacettepe University Medical School, Altindag, Ankara, Turkey.

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