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Cited by 70Psoriasis: Treatment and PathogenesisSpondyloarthritis Studies and TreatmentsBody Composition Measurement Techniques

Bioelectrical phase angle and psoriasis: a novel association with psoriasis severity, quality of life and metabolic syndrome

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Barrea, Luigi, Macchia, Paolo Emidio, Di Somma, Carolina, Napolitano, Maddalena, Balato, Anna, Falco, Andrea, Savanelli, Maria Cristina, Balato, Nicola +2 more·2016·Journal of Translational Medicine
DOI 10.1186/s12967-016-0889-6PMC PMC4863378
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Abstract

BACKGROUND: Obesity, metabolic syndrome (MetS), and psoriasis, largely driven by environmental factors, show multiple bidirectional associations, with important metabolic implications in psoriatic patients. Besides body mass index (BMI) as a measure of obesity, data on phase angle (PhA), a direct measure by bioelectrical impedance analysis (BIA), used as a marker of cellular health and a predictor of morbidity and mortality in various diseases, are still lacking in psoriasis. In this case-control, cross-sectional study, we investigated the PhA in 180 pairs of adult psoriatic patients and healthy controls, evaluating also the potential use of the PhA as marker of the clinical severity, the quality of life, and the presence of the MetS in psoriatic patients. METHODS: Anthropometric measures, metabolic profile and bioelectrical variables were evaluated. The clinical severity was assessed by standardized psoriasis area and severity index (PASI) score and c-reactive protein (CRP) levels, and the quality of life was evaluated by dermatology life quality index (DLQI). MetS was diagnosed according to Adult Treatment Panel III. RESULTS: Psoriatic patients presented smaller PhA (p < 0.001) and higher prevalence MetS compared with controls. The PhA was significantly associated with number of parameters of MetS in both groups (p < 0.001). After adjusting for BMI, this association remained significant in psoriatic patients only (p < 0.001). Among psoriatic patients, the PhA was the major index value for the diagnosis of MetS (OR 5.87, 95 % CI 5.07-6.79) and was inversely associated with both PASI score and DLQI, independently of BMI (p < 0.001). At multiple regression analysis, the PhA well predicted the PASI score and DLQI. Based on ROC curves, the most sensitive and specific cutoffs of PhA to predict the highest PASI score and the lowest DQLI were ≤4.8° and ≤4.9°, respectively. CONCLUSIONS: We reported that psoriatic patients presented small PhAs, with a novel association between PhA, clinical severity, quality of life in psoriatic patients, and MetS. Further studies are required to validate the PhA's prognostic ability in assessing the clinical severity and MetS in psoriatic patients.

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  • PhA is related to body mass and ECW/ICW ratio, and represents a valid parameter of inflammation status in cutaneous inflammatory diseases.

    “PhA is related to body mass [78] and ECW/ICW ratio [79], but it also represents as a valid parameter of the inflammation status in cutaneous inflammatory diseases [46].”

    From Adherence to the Mediterranean Diet, Dietary Patterns and Body Composition in Women with Polycystic Ovary Syndrome (PCOS) (2019) · cites this paper as [46]

    The Discussion reports that PhA correlated with psoriasis severity and CRP levels in psoriatic patients, supporting its relevance to inflammatory status in psoriasis. But the study did not establish PhA as a validated inflammation measure across cutaneous inflammatory diseases; its Conclusions propose clinical use cautiously and call for further studies. The body-mass and ECW/ICW portions of the citing sentence have separate citations and are not attributed to this source. (LLM, conf=0.88)

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  1. [1]Grozdev I Korman N Tsankov N Psoriasis as a systemic disease Clin Dermatol 2014 32 343 350 10.1016/j.clindermatol.2013.11.001 24767182 · DOI
  2. [2]Balato N Balato A Gallo L Napolitano M Patruno C Ayala F Psoriasis and osteoporosis: data from a Southern Italian population Arch Osteoporos 2012 7 321 323 10.1007/s11657-012-0112-1 23203734 · DOI
  3. [3]Gremese E Tolusso B Gigante MR Ferraccioli G Obesity as a risk and severity factor in rheumatic diseases (autoimmune chronic inflammatory diseases) Front Immunol 2014 11 5 576 PMC4227519 25426122
  4. [4]Gisondi P Galvan A Idolazzi L Girolomoni G Management of moderate to severe psoriasis in patients with metabolic comorbidities Front Med 2015 2 1 10.3389/fmed.2015.00001 PMC4300999 25654080 · DOI
  5. [5]Balato N Napolitano M Ayala F Patruno C Megna M Tarantino G Nonalcoholic fatty liver disease, spleen and psoriasis: new aspects of low-grade chronic inflammation World J Gastroenterol 2015 22 6892 6897 26078565 PMC4462729
  6. [7]Ganzetti G Campanati A Molinelli E Offidani A Psoriasis, non-alcoholic fatty liver disease, and cardiovascular disease: three different diseases on a unique background World J Cardiol 2016 8 2 120 131 10.4330/wjc.v8.i2.120 26981209 PMC4766264 · DOI
  7. [8]Shahwan KT Kimball AB Psoriasis and cardiovascular disease Med Clin North Am 2015 99 6 1227 1242 10.1016/j.mcna.2015.08.001 26476250 · DOI
  8. [9]Toussirot E Aubin F Dumoulin G Relationships between adipose tissue and psoriasis, with or without arthritis Front Immunol 2014 12 5 368 PMC4129363 25161652
  9. [10]Engin B Kutlubay Z Yardımcı G Vehid HE Ambarcıoğlu P Serdaroğlu S Tüzün Y Evaluation of body composition parameters in patients with psoriasis Int J Dermatol 2014 53 12 1468 1473 10.1111/ijd.12171 25267412 · DOI
  10. [11]Barrea L Balato N Di Somma C Macchia PE Napolitano M Savanelli MC Esposito K Colao A Savastano S Nutrition and psoriasis: is there any association between the severity of the disease and adherence to the Mediterranean diet? J Transl Med 2015 27 13 18 PMC4316654 25622660
  11. [12]Di Renzo L Bianchi A Saraceno R Calabrese V Cornelius C Iacopino L Chimenti S De Lorenzo A 174G/C IL-6 gene promoter polymorphism predicts therapeutic response to TNF-α blockers Pharmacogenet Genomics 2012 22 2 134 142 10.1097/FPC.0b013e32834e5e7b 22158445 · DOI
  12. [13]Xu Y Xie X Duan Y Wang L Cheng Z Cheng JA Review of impedance measurements of whole cells Biosens Bioelectron 2016 15 77 824 836 10.1016/j.bios.2015.10.027 26513290 · DOI
  13. [14]Barbosa-Silva MC Barros AJ Wang J Heymsfield SB Pierson RN Jr Bioelectrical impedance analysis: population reference values for phase angle by age and sex Am J Clin Nutr 2005 82 1 49 52 16002799
  14. [15]Bosy-Westphal A Danielzik S Dorhofer RP Phase angle from bioelectrical impedance analysis: population reference values by age, sex, and body mass index JPEN J Parenter Enteral Nutr 2006 30 309 316 10.1177/0148607106030004309 16804128 · DOI
  15. [16]Marini E Buffa R Saragat B Coin A Toffanello ED Berton L Manzato E Sergi G The potential of classic and specific bioelectrical impedance vector analysis for the assessment of sarcopenia and sarcopenic obesity Clin Interv Aging 2012 7 585 591 10.2147/CIA.S38488 23269864 PMC3529635 · DOI
  16. [17]Kyle UG Soundar EP Genton L Pichard C Can phase angle determined by bioelectrical impedance analysis assess nutritional risk? A comparison between healthy and hospitalized subjects Clin Nutr 2012 31 875 881 10.1016/j.clnu.2012.04.002 22560739 · DOI
  17. [18]Norman K Stobäus N Pirlich M Bosy-Westphal A Bioelectrical phase angle and impedance vector analysis–clinical relevance and applicability of impedance parameters Clin Nutr 2012 31 6 854 861 10.1016/j.clnu.2012.05.008 22698802 · DOI · Paper page
  18. [19]Stobäus N Pirlich M Valentini L Schulzke JD Norman K Determinants of bioelectrical phase angle in disease Br J Nutr 2012 107 8 1217 1220 10.1017/S0007114511004028 22309898 · DOI
  19. [20]Norman K Stobäus N Zocher D Bosy-Westphal A Szramek A Scheufele R Smoliner C Pirlich M Cutoff percentiles of bioelectrical phase angle predict functionality, quality of life, and mortality in patients with cancer Am J Clin Nutr 2010 92 3 612 619 10.3945/ajcn.2010.29215 20631202 · DOI
  20. [22]de Luis DA Aller R Romero E Dueñas A Perez Castrillon JL Relation of phase angle tertiles with blood adipocytokines levels, insulin resistance and cardiovascular risk factors in obese women patients Eur Rev Med Pharmacol Sci 2010 14 6 521 526 20712259
  21. [23]Spuls PI Lecluse LL Poulsen ML Bos JD Stern RS Nijsten T How good are clinical severity and outcome measures for psoriasis?: quantitative evaluation in a systematic review J Invest Dermatol 2010 130 933 943 10.1038/jid.2009.391 20043014 · DOI
  22. [24]Harari M Shani J Hristakieva E Stanimirovic A Seidl W Burdo A Clinical evaluation of a more rapid and sensitive psoriasis assessment severity score (PASS), and its comparison with the classic method of psoriasis area and severity index (PASI), before and after climatotherapy at the Dead-Sea Int J Dermatol 2000 39 913 918 10.1046/j.1365-4362.2000.00017.x 11168660 · DOI
  23. [25]Finlay AY Khan GK Dermatology life quality index (DLQI)—a simple practical measure for routine clinical use Clin Exp Dermatol 1994 19 3 210 216 10.1111/j.1365-2230.1994.tb01167.x 8033378 · DOI
  24. [26]Expert Panel on Detection Evaluation, and treatment of high blood cholesterol in adults. Executive summary of the third report of the national cholesterol education program (ncep) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel iii) JAMA 2001 285 19 2486 2497 10.1001/jama.285.19.2486 11368702 · DOI · Paper page
  25. [27]American Diabetes Association Standards of medical care in diabetes–2012 Diabetes Care 2012 35 Suppl 1 S11 S63 22187469 PMC3632172
  26. [29]Kyle UG Bosaeus I De Lorenzo AD Deurenberg P Elia M Manuel Gómez J Lilienthal Heitmann B Kent-Smith L Melchior JC Pirlich M Scharfetter H Schols AMWJ Pichard C ESPEN Bioelectrical impedance analysis-part II: utilization in clinical practice Clin Nutr. 2004 23 6 1430 1453 10.1016/j.clnu.2004.09.012 15556267 · DOI · Paper page
  27. [30]Marra M Pasanisi F Scalfi L The prediction of basal metabolic rate in young adult, severely obese patients using single frequency bioimpedance analysis Acta Diabetol 2003 40 s139 s142 10.1007/s00592-003-0047-5 14618454 · DOI
  28. [31]Belfiore A Cataldi M Minichini L Aiello ML Trio R Rossetti G Guida B Short term changes in body composition and response to micronutrient supplementation after laparoscopic sleeve gastrectomy Obes Surg 2015 25 12 2344 2351 10.1007/s11695-015-1700-0 25948283 · DOI
  29. [32]Baumgartner RN Chumlea WC Roche AF Bioelectric impedance phase angle and body composition Am J Clin Nutr 1988 48 16 23 3389323
  30. [33]Schwenk A Beisenherz A Römer K Kremer G Salzberger B Elia M Phase angle from bioelectrical impedance analysis remains an independent predictive marker in HIV-infected patients in the era of highly active antiretroviral treatment Am J Clin Nutr 2000 72 496 501 10919947
  31. [34]Piccoli A Rossi B Pillon L Bucciante G A new method for monitoring body fluid variation by bioimpedance analysis: the RXc graph Kidney Int 1994 46 534 539 10.1038/ki.1994.305 7967368 · DOI · Paper page
  32. [35]Chertow GM Lowrie EG Wilmore DW Nutritional assessment with bioelectrical impedance analysis in maintenance hemodialysis patients J Am Soc Nephrol 1995 6 75 81 7579073
  33. [36]Johansen KL Kaysen GA Young BS Hung AM da Silva M Chertow GM Longitudinal study of nutritional status, body composition, and physical function in hemodialysis patients Am J Clin Nutr 2003 77 4 842 846 12663281
  34. [37]Di Mauro M Lazzarini D Fumelli P Carle F Kosmidis A Bioelectrical impedance analysis and diabetes mellitus: which correlation among fructosamine, glycosylated haemoglobin and exchangeable potassium Minerva Med 2007 98 6 633 638 18299676
  35. [38]Naviaux RK Metabolic features of the cell danger response Mitochondrion 2014 16 7 17 10.1016/j.mito.2013.08.006 23981537 · DOI
  36. [39]Buscemi S Blunda G Maneri R Verga S Bioelectrical characteristics of type 1 and type 2 diabetic subjects with reference to body water compartments Acta Diabetol 1998 35 4 220 223 10.1007/s005920050135 9934822 · DOI
  37. [40]Malkic Salihbegovic E Hadzigrahic N Cickusic AJ Psoriasis and metabolic syndrome Med Arch. 2015 69 2 85 87 10.5455/medarh.2015.69.85-87 26005254 PMC4429992 · DOI
  38. [41]Selberg O Selberg D Norms and correlates of bioimpedance phase angle in healthy human subjects, hospitalized patients, and patients with liver cirrhosis Eur J Appl Physiol 2002 86 6 509 516 10.1007/s00421-001-0570-4 11944099 · DOI
  39. [42]Wirth R Volkert D Rösler A Sieber CC Bauer JM Bioelectric impedance phase angle is associated with hospital mortality of geriatric patients Arch Gerontol Geriatr 2010 51 3 290 294 10.1016/j.archger.2009.12.002 20044156 · DOI
  40. [43]Cruz-Jentoft AJ Baeyens JP Bauer JM Boirie Y Cederholm T Landi F Martin FC Michel JP Rolland Y Schneider SM Topinková E Vandewoude M Zamboni M European working group on sarcopenia in older people. Sarcopenia: European consensus on definition and diagnosis: report of the european working group on sarcopenia in older people Age Ageing 2010 39 4 412 423 10.1093/ageing/afq034 20392703 PMC2886201 · DOI · Paper page
  41. [46]Beenakker KG Ling CH Meskers CG de Craen AJ Stijnen T Westendorp RG Maier AB Patterns of muscle strength loss with age in the general population and patients with a chronic inflammatory state Ageing Res Rev 2010 9 4 431 436 10.1016/j.arr.2010.05.005 20553969 PMC7105185 · DOI
  42. [47]Lowes MA Bowcock AM Krueger JG Pathogenesis and therapy of psoriasis Nature 2007 445 7130 866 873 10.1038/nature05663 17314973 · DOI
  43. [48]Basile C Della-Morte D Cacciatore F Gargiulo G Galizia G Roselli M Curcio F Bonaduce D Abete P Phase angle as bioelectrical marker to identify elderly patients at risk of sarcopenia Exp Gerontol 2014 58 43 46 10.1016/j.exger.2014.07.009 25034911 · DOI
  44. [49]Werkstetter KJ Ullrich J Schatz SB Prell C Koletzko B Koletzko S Lean body mass, physical activity and quality of life in paediatric patients with inflammatory bowel disease and in healthy controls J Crohns Colitis. 2012 6 6 665 673 10.1016/j.crohns.2011.11.017 22398103 · DOI

Cited by

Sorted by citations

Authors
Barrea, L., Macchia, P. E., Di Somma, C., Napolitano, M., Balato, A., Falco, A., Savanelli, M. C., Balato, N., Colao, A., & Savastano, S.
Affiliations
Federico II University Hospital (IT)
Corresponding author
Barrea, Luigi
ORCID
Venue
Journal of Translational Medicine
Publisher
Springer Science and Business Media LLC
Published
2016-05-10
Volume
14
Issue
1
Pages
130-130
ISSN
1479-5876 (ISSN-L)
DOI
10.1186/s12967-016-0889-6
PMC
PMC4863378
OpenAlex
W2372648738
Cited by
70
References
5
Citations by year
2026: 2 · 2025: 3 · 2024: 7 · 2023: 6 · 2022: 9 · 2021: 11 · 2020: 13 · 2019: 8 · 2018: 6 · 2017: 4 · 2016: 1
FWCI
3.84
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Translational Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
  • Archivio Istituzionale della Ricerca - Università degli Studi del Molise (submittedVersion)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
  • Health Sciences › Medicine › Rheumatology › Spondyloarthritis Studies and Treatments
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
Keywords
psoriasis, bioelectrical impedance analysis, metabolic syndrome, psoriasis severity, quality of life, obesity, cellular health, PASI score, C-reactive protein, body mass index
MeSH terms
Adult, Aged, Biomechanical Phenomena, Female, Humans, Male, Middle Aged, Psoriasis, Quality of Life, Regression Analysis, Risk Factors, Severity of Illness Index, Odds Ratio, Case-Control Studies, Electric Impedance, Metabolic Syndrome, Young Adult

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