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Tc-99m diethylenetriamine pentaacetic acid (DTPA) renal function reserve estimation: is it a reliable predictive tool for assessment of preclinical renal involvement in scleroderma patients?

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Abstract

Prognosis of systemic sclerosis (SSc) depends on internal organ involvement. We assessed the value of renal function reserve (RFR) for the detection of preclinical nephropathy in scleroderma. Thirty SSc patients with normal serum creatinine and 30 healthy controls were included. Medsger disease severity score, glomerular filtration rate (GFR), and microalbuminuria were measured. Tc-99m DTPA was utilized for GFR measurement at baseline and after oral protein overload (stimulated GFR). RFR was calculated as the percentile increase of stimulated GFR. SSc patients had lower means of baseline GFR (P = 0.001), stimulated GFR (P = 0.004), RFR (P = 0.046), and higher microalbuminuria (P = 0.009) than controls. According to baseline GFR, SSc patients showed three categories—normal baseline GFR (n = 12), hyperfiltration GFR (n = 3), and reduced baseline GFR (n = 15). In the former category, RFR was normal in 6/12 patients and abnormal in the remainders (50%). Hyperfiltration patients and those with reduced baseline GFR showed abnormal RFR. A statistically significant negative association was found between microalbuminuria versus stimulated GFR and RFR (r = −0.5, P = 0.007 and r = −0.45, P = 0.013, respectively). The majority of SSc patients with abnormal RFR had disease duration of ≥48 months (60% vs. 20%, P = 0.008). All SSc patients with pulmonary hypertension had abnormal RFR, while reduced baseline GFR was noted in only 60%. A significant negative correlation was found between reduced baseline GFR and cumulative dose of corticosteroids in SSc patients (r = −0.4, P = 0.022). RFR estimation could be a useful predictive marker for preclinical renal involvement in SSc patients so that early prophylactic measures and therapy modifications could be considered.

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References

  1. Haustein UF (2002) Systemic sclerosis-scleroderma. Dermatol Online J 8(1):3

    PubMed  Google Scholar 

  2. Abraham DJ, Krieg T, Distler J, Distler O (2009) Overview of pathogenesis of systemic sclerosis. Rheumatology (Oxford) 48(Suppl 3):iii3–iii7

    Article  CAS  Google Scholar 

  3. Trostle DC, Bedetti CD, Steen VD, Al-Sabbagh MR, Zee B, Medsger TA Jr (1988) Renal vascular histology and morphometry in systemic sclerosis. A case–control autopsy study. Arthritis Rheum 31:393–400

    Article  PubMed  CAS  Google Scholar 

  4. Steen VD (1996) Scleroderma renal crisis. Rheum Dis Clin North Am 22:861–878

    Article  PubMed  CAS  Google Scholar 

  5. Steen VD, Medsger TA, Osial TA, Ziegler GL, Shapiro AP, Rodnan GP (1984) Factors predicting development of renal involvement in progressive systemic sclerosis. Am J Med 76:779–786

    Article  PubMed  CAS  Google Scholar 

  6. Guerini S, Cavazzana I, Venturelli C et al (2007) Renal involvement in systemic sclerosis. G Ital Nefrol 24:295–310

    PubMed  CAS  Google Scholar 

  7. Coresh J, Auguste P (2008) Reliability of GFR formulas based on serum creatinine, with special reference to the MDRD Study equation. Scand J Clin Lab Invest Suppl 241:30–38

    Article  PubMed  Google Scholar 

  8. Chantler C, Garnett ES, Parsons V, Veall N (1969) Glomerular filtration rate measurement in man by the single injection methods using [51Cr] EDTA. Clin Sci 37:169–180

    PubMed  CAS  Google Scholar 

  9. Perrone RD, Steinman TI, Beck GJ et al (1990) Utility of radioisotopic filtration markers in chronic renal insufficiency: simultaneous comparison of 125I-iothalamate, 169Yb-DTPA, 99mTc-DTPA, and inulin. The Modification of Diet in Renal Disease Study. Am J Kidney Dis 16:224–235

    PubMed  CAS  Google Scholar 

  10. Kingdon EJ, Knight CJ, Dustan K et al (2003) Calculated glomerular filtration rate is a useful screening tool to identify scleroderma patients with renal impairment. Rheumatol Oxford 42:26–33

    Article  CAS  Google Scholar 

  11. Chiarelli F, Verrotti A, Mohn A, Morgese G (1997) The importance of microalbuminuria as an indicator of incipient diabetic nephropathy: therapeutic implications. Ann Med 29:439–445

    Article  PubMed  CAS  Google Scholar 

  12. Shanmugam VK, Steen VD (2010) Renal manifestations in scleroderma: evidence for subclinical renal disease as a marker of vasculopathy. Int J Rheumatol. doi:10.1155/2010/538589

    Google Scholar 

  13. Bosch JP, Lauer A, Glabman S (1984) Short term protein loading in assessment of patients with renal disease. Am J Med 77:873–879

    Article  PubMed  CAS  Google Scholar 

  14. Dedov II, Mukhin NA, Shestakova MV et al (1991) Renal functional reserve in diabetic patients without clinical nephropathy: comparisons with renal morphology. Diabet Med S43:7

    Google Scholar 

  15. Livi R, Teghini L, Pignone A, Generini S, Matucci-Cerinic M, Cagnoni M (2002) Renal functional reserve is impaired in patients with systemic sclerosis without clinical signs of kidney involvement. Ann Rheum Dis 61:682–686

    Article  PubMed  CAS  Google Scholar 

  16. Livi R, Guiducci S, Perfetto F et al (2011) Lack of activation of renal functional reserve predicts the risk of significant renal involvement in systemic sclerosis. Ann Rheum Dis 70(11):1963–1967

    Article  PubMed  CAS  Google Scholar 

  17. Gates GF (1982) Glomerular filtration rate: estimation from fractional renal accumulation of 99mTc-DTPA (stannous). AJR Am J Roentgenol 138:565–570

    PubMed  CAS  Google Scholar 

  18. [No authors listed] (1980) Preliminary criteria for the classification of systemic sclerosis (scleroderma). Subcommittee for scleroderma criteria of the American Rheumatism Association Diagnostic and Therapeutic Criteria Committee. Arthritis Rheum 23:581–590

    Google Scholar 

  19. Le Roy ES, Black C, Fleischnajer R et al (1988) Scleroderma (systemic sclerosis): classification, subsets and pathogenesis. J Rheumatol 15:202–205

    Google Scholar 

  20. Steen VD, Medsger TA Jr (2000) Severe organ involvement in systemic sclerosis with diffuse scleroderma. Arthritis Rheum 43:2437–2444

    Article  PubMed  CAS  Google Scholar 

  21. Ujjin P, Wiwanitkit V, Srijindaratana G (2000) Evaluation of microalb immunoturbidimetric test for albuminuria screening. Asian Pac J Allergy Immunol 18:177–180

    PubMed  CAS  Google Scholar 

  22. Sølling K, Christensen CK, Sølling J, Christiansen JS, Mogensen CE (1986) Effect on renal haemodynamics, glomerular filtration rate and albumin excretion of high oral protein load. Scand J Clin Lab Invest 46:351–357

    Article  PubMed  Google Scholar 

  23. National Kidney Foundation Kidney Disease, Outcome Quality Initiative Advisory Board (2002) Clinical practice guidelines for chronic kidney disease: evaluation, classification and stratification. Kidney disease quality initiative: staging system and action plans for chronic kidney disease. Am J Kidney Dis 39(suppl 2):SI–246

    Google Scholar 

  24. Vora JP, Dolben J, Dean JD et al (1992) Renal hemodynamics in newly presenting non-insulin dependent diabetes mellitus. Kidney Int 41:829–835

    Article  PubMed  CAS  Google Scholar 

  25. Rivolta R, Mascagni B, Berruti V et al (1996) Renal vascular damage in systemic sclerosis patients without clinical evidence of nephropathy. Arthritis Rheum 39:1030–1034

    Article  PubMed  CAS  Google Scholar 

  26. Clements PJ, Lachenbruch PA, Furst DE, Maxwell M, Danovitch G, Paulus HE (1994) Abnormalities of renal physiology in systemic sclerosis. A prospective study with 10-year follow-up. Arthritis Rheum 37:67–74

    Article  PubMed  CAS  Google Scholar 

  27. Scheja A, Bartosik I, Wuttge DM, Hesselstrand R (2009) Renal function is mostly preserved in patients with systemic sclerosis. Scand J Rheumatol 38:295–298

    Article  PubMed  CAS  Google Scholar 

  28. Mohamed RH, Zayed HS, Amin A (2010) Renal disease in systemic sclerosis with normal serum creatinine. Clin Rheumatol 29:729–737

    Article  PubMed  Google Scholar 

  29. Signorini AM, Tanganelli I, Fondelli C et al (1991) Glomerular filtration and renal volume in type II diabetes (non-insulin-dependent): study in normal and microalbuminuria patients. Boll Soc Ital Biol Sper 67:767–772

    PubMed  CAS  Google Scholar 

  30. Christiansen JS (1984) On the pathogenesis of the increased glomerular filtration rate in short-term insulin-dependent diabetes. Dan Med Bull 31:349–361

    PubMed  CAS  Google Scholar 

  31. Jones SL, Viberti G (1995) Renal functional reserve in subjects with diabetes mellitus. Semin Nephrol 15:475–481

    PubMed  CAS  Google Scholar 

  32. Hillege HL, Fidler V, Diercks GF et al (2002) Prevention of Renal and Vascular End Stage Disease (PREVEND) Study Group. Urinary albumin excretion predicts cardiovascular and noncardiovascular mortality in general population. Circulation 106:1777–1782

    Article  PubMed  CAS  Google Scholar 

  33. Hostetter TH (2004) Chronic kidney disease predicts cardiovascular disease. N Engl J Med 351:1344–1346

    Article  PubMed  CAS  Google Scholar 

  34. Klausen K, Borch-Johnsen K, Feldt-Rasmussen B et al (2004) Very low levels of microalbuminuria are associated with increased risk of coronary heart disease and death independently of renal function, hypertension, and diabetes. Circulation 110:32–35

    Article  PubMed  CAS  Google Scholar 

  35. Seiberlich B, Hunzelmann N, Krieg T, Weber M, Schulze-Lohoff E (2008) Intermediate molecular weight proteinuria and albuminuria identify scleroderma patients with increased morbidity. Clin Nephrol 70:110–117

    PubMed  CAS  Google Scholar 

  36. Dawnay A, Wilson AG, Lamb E, Kirby JD, Cattell WR (1992) Microalbuminuria in systemic sclerosis. Ann Rheum Dis 51:384–388

    Article  PubMed  CAS  Google Scholar 

  37. Semiz S, Bircan I, Yilmaz GG, Karayalçin B, Güven AG (1998) Renal functional reserve in insulin dependent diabetic children. Acta Paediatr Jpn 40:341–344

    Article  PubMed  CAS  Google Scholar 

  38. Gupta R, Bammigatti C, Dinda AK, Marwaha V, Gupta S (2007) Prevalence of renal involvement in Indian patients with systemic sclerosis. Indian J Med Sci 61:91–96

    Article  PubMed  CAS  Google Scholar 

  39. Campo A, Mathai SC, Le Pavec J et al (2010) Hemodynamic predictors of survival in scleroderma-related pulmonary arterial hypertension. Am J Respir Crit Care Med 182:252–260

    Article  PubMed  Google Scholar 

  40. Penn H, Howie AJ, Kingdon EJ et al (2007) Scleroderma renal crisis: patient characteristics and long-term outcomes. QJM 100:485–494

    Article  PubMed  CAS  Google Scholar 

  41. Teixeira L, Mouthon L, Mahr A, Group Français de Recherche sur le Sclérodermie (GFRS) et al (2008) Mortality and risk factors of scleroderma renal crisis: a French retrospective study of 50 patients. Ann Rheum Dis 67:110–116

    Article  PubMed  CAS  Google Scholar 

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Acknowledgment

The authors thank Dr. Zeinab Nawito for the helpful contributions in the finalization of this work regarding clinical and grammatical aspects.

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Correspondence to Amr Amin.

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Amin, A., El-Sayed, S., Taher, N. et al. Tc-99m diethylenetriamine pentaacetic acid (DTPA) renal function reserve estimation: is it a reliable predictive tool for assessment of preclinical renal involvement in scleroderma patients?. Clin Rheumatol 31, 961–966 (2012). https://doi.org/10.1007/s10067-012-1963-y

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