Comparison of diagnostic significance of calculation of glomerular filtration rate based on creatinine and cystatin c in patients with chronic obstructive pulmonary disease

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Goal. Comparison of the diagnostic significance of calculating the filtration rate based on creatinine and cystatin C in patients with chronic obstructive pulmonary disease (COPD).

Material and methods. 198 patients with COPD of 1–4 degrees of severity (GOLD 2014) who were examined and treated at the regional hospital № 2 were examined. The average age of the subjects was 63,5±5,7 years, the duration of COPD was 13,1±4,6 years. The control group consisted of 28 healthy volunteers, comparable in age and gender. In addition to general clinical studies, all patients were calculated the glomerular filtration rate (GFR) based on the level of serum creatinine (GFRcr) and, additionally, based on serum cystatin C (GFRcys), as well as a bioimpedance study of body composition according to the standard method.

Results. It was found that when calculating GFR by creatinine, the frequency of COPD patients with a normal GFR level>90 ml/min/1,73 m2 was statistically significantly higher than when calculating cystatin C (37,1% vs 12.6%, respectively, χ2=52,97; p=0,005). For a group of patients with a decrease in GFR in the range of 59–45 ml/min/1,73 m2, the opposite results were obtained: the proportion of patients with the calculation of GFR for cystatin C was statistically significantly higher (34,3% vs 1%, respectively, χ2=48,87; p=0,002). Similar data were obtained when comparing alternative and standard methods in the groups of GFR 44–30 ml/min/1,73 m2 (12,1% for cystatin C vs 0% for creatinine χ2=28,97; p=0,03) and GFR 29-15 ml/min/1,73 m2 (5,1% for cystatin C vs 0% for creatinine, χ2=5,13; p=0,04). Only in the group with a slight decrease in GFR (89–60 ml/min/1,73 m2), there were no statistically significant differences between the methods used (51% for creatinine vs 35,8% for cystatin C, χ2=2,95; p=0,06). In the group of healthy volunteers, there was no statistically significant difference between the standard and alternative methods. A high frequency of muscle dysfunction was found in COPD patients (57,6%) according to bioimpedance analysis, as well as statistically significant correlations between the level of serum creatinine and indicators reflecting the state of muscle tissue.

Conclusions. Underdiagnosis of GFR reduction in COPD patients was revealed using a standard calculation method based on serum creatinine.

Full Text

Restricted Access

About the authors

Elena V. Bolotova

Kuban State Medical University of the Ministry of Healthcare of the Russian Federation

Author for correspondence.
Email: bolotowa_e@mail.ru
ORCID iD: 0000-0001-6257-354X

Dr. Sci. (Med.), Professor at the Department of Therapy № 1 FATPRS, Kuban State Medical University

Russian Federation, Krasnodar

Anna V. Dudnikova

Kuban State Medical University of the Ministry of Healthcare of the Russian Federation

Email: avdudnikova@yandex.ru
ORCID iD: 0000-0003-2601-7831

Cand.Sci. (Med.), Therapist at the Consultative and Diagnostic Department, Clinic of the Kuban State Medical University

Russian Federation, Krasnodar

References

  1. Клинические рекомендации. Хроническая болезнь почек (ХБП). 2020 г. https://rusnephrology.org/wp-content/uploads/2020/12/CKD_final.pdf [Klinicheskie rekomendacii. Hronicheskaya bolezn’ pochek (HBP). 2020 g. https://rusnephrology.org/wp-content/uploads/2020/12/CKD_final.pdf].
  2. Чучалин А.Г., Авдеев С.Н., Айсанов З.Р. и др. Российское респираторное общество. Федеральные клинические рекомендации по диагностике и лечению хронической обструктивной болезни легких. Пульмонология. 2014;3:15–54. doi: 10.18093/0869-0189-2014-0-3-15-54. [Chuchalin A.G., Avdeev S.N., Aysanov Z.R., et al. Russian respiratory society. Federal guidelines on diagnosis and treatment of chronic obstructive pulmonary disease. Pulmonol. 2014;(3):15–54].
  3. Болотова Е.В., Дудникова А.В. Дисфункция почек у больных хронической обструктивной болезнью легких: вопросы коморбидности. К., 2018. [Bolotova E.V., Dudnikova A.V. Disfunkciya pochek u bol’nyh hronicheskoj obstruktivnoj bolezn’yu legkih: voprosy komorbidnosti. K., 2018].
  4. Ford E.S. Urinary albumin-creatinine ratio, estimated glomerular filtration rate, and all-cause mortality among US adults with obstructive lung function. Chest. 2015;147(1):56–67. doi: 10.1378/chest.13-2482.
  5. Gaddam S., Gunukula S.K., Lohr J.W., Arora P. Prevalence of chronic kidney disease in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis. BMC. Pulmon. Med. 2016;16:158. doi: 10.1186/s12890-016-0315-0.
  6. Chen C.-Y., Liao K.-M. Chronic Obstructive Pulmonary Disease is associated with risk of Chronic Kidney Disease: A Nationwide Case-Cohort Study. Sci. Rep. 2016;6:25855. doi: 10.1038/srep25855.
  7. Болотова Е.В., Дудникова А.В., Являнская В.В. Особенности исследования состава тела у больных хронической обструктивной болезнью легких. Пульмонология. 2018;28(4):453–9. doi: 10.18093/0869-0189-2018-28-4-453-459. [Bolotova E.V., Dudnikova A.V., Yavlyanskaya V.V. Body composition in patients with chronic obstructive pulmonary disease. Pulmonol. 2018;28(4):453–59.
  8. Оценка нутритивного статуса и его коррекция при хронической обструктивной болезни легких. Пульмонология. 2016;26(1):13–28. doi: 10.1183/09031936.00070914. [Evaluation of nutritional status and nutritional therapy in chronic obstructive pulmonary disease. Pulmonol. 2016;26(1):13–28].
  9. Global Strategy for the Diagnosis, Manage ment and Prevention of COPD, Global Initiative for Chronic Obstructive Lung Disease. Updated 2017. Avail able at: http://goldcopd.org/gold-2017-global-strategy-diagnosis-management-prevention-copd.
  10. Earley A., Miskulin D., Lamb E.J., et al. Estimating equations for glomerular filtration rate in the era of creatinine standardization: a systematic review. Ann. Intern. Med. 2012;156(11):785–95. doi: 10.7326/0003-4819-156-6-201203200-00391.
  11. Клинические практические рекомендации KDIGO 2012 по диагностике и лечению хронической болезни почек. Нефрология и диализ. 2017;19(1):22–206.
  12. Руднев С.Г., Соболева Н.П., Стерликов С.А. и др. Биоимпедансное исследование состава тела населения России. М., 2014.
  13. Winning Iepsen U., Klarlund Pedersen B. Development of Limb Muscle Dysfunction in Chronic Obstructive Pulmonary Disease: Smoking, Inflammation, or Simply Disuse? Am. J. Respir. Cell. Mol. Biol. 2020;62(2):134–35. doi: 10.1165/rcmb.2019-0319ED.
  14. Chan S.M.H., Cerni C., Passey S., et al. Cigarette Smoking Exacerbates Skeletal Muscle Injury without Compromising Its Regenerative Capacity. Am. J. Respir. Cell. Mol. Biol. 2020;62(2):217–30. Doi: 10.1165/ rcmb.2019-0106OC.
  15. de Blasio F., de Blasio F., Miracco Berlingieri G., et al. Evaluation of body composition in COPD patients using multifrequencybioelectrical impedance analysis. Int. J. Chron. Obstruct. Pulmon. Dis. 2016;30(11):2419–26. doi: 10.2147/COPD.S110364.
  16. Kharbanda S., Ramakrishna A., Krishnan S. Prevalence of quadriceps muscle weakness in patients with COPD and its association with disease severity. Int. J. Chron. Obstruct. Pulmon. Dis. 2015;10;1727–35. doi: 10.2147/copd.s87791.
  17. Chua J.R., Albay A.B., Tee M.L. Body Composition of Filipino Chronic Obstructive Pulmonary Disease (COPD) Patients in Relation to Their Lung Function, Exercise Capacity and Quality of Life. Int. J. Chron. Obstruct. Pulmon. Dis. 2019;14:2759–65. doi: 10.2147/COPD.S222809.
  18. de Blasio F., Scalfi L., Di Gregorio A., et al. Raw Bioelectrical Impedance Analysis Variables Are Independent Predictors of Early All-Cause Mortality in Patients With COPD. Chest. 2019;155(6):1148–57. doi: 10.1016/j.chest.2019.01.001.
  19. Castizo-Olier J., Irurtia A., Jemni M., et al. Bioelectrical impedance vector analysis (BIVA) in sport and exercise: Systematic review and future perspectives. PLoS One. 2018:7;13(6):e0197957. doi: 10.1371/journal.pone.0197957.
  20. Marra M., Di Vincenzo O., Sammarco R., et al. Bioimpedance phase angle in elite male athletes: a segmental approach. Physiol Meas. 2021:1;41(12):125007. doi: 10.1088/1361-6579/abcb5c.
  21. Болотова Е.В., Дудникова А.В. Способ ранней диагностики хронической болезни почек у пациентов с хронической обструктивной болезнью легких. Патент на изобретение № 2647327 РФ. 2016. [Bolotova E.V., Dudnikova A.V. Sposob rannej diagnostiki hronicheskoj bolezni pochek u pacientov s hronicheskoj obstruktivnoj bolezn’yu legkih. Patent na izobretenie № 2647327 RF. 2016].
  22. Болотова Е.В., Дудникова А.В. Система индивидуального контроля скорости клубочковой фильтрации у больных хронической обструктивной болезнью легких. Свидетельство РФ о регистрации программы для ЭВМ № 2016660709/ 21.09.17. [Bolotova E.V., Dudnikova A.V. Sistema individual’nogo kontrolya skorosti klubochkovoj fil’tracii u bol’nyh hronicheskoj obstruktivnoj bolezn’yu legkih. Svidetel’stvo RF o registracii programmy dlya EVM №2016660709/ 21.09.17].
  23. Yoshizawa T., Okada K., Furuichi S., et al. Prevalence of chronic kidney diseases in patients with chronic obstructive pulmonary disease: assessment based on glomerular filtration rate estimated from creatinine and cystatin C levels. Int. J. Chron. Obstruct. Pulmon. Dis. 2015;10:1283–89. doi: 10.2147/copd.s80673.
  24. Муркамилов И.Т., Сабиров И.С., Фомин В.В., Муркамилова Ж.А. Изучение возможностей использования расчетных методов оценки скорости клубочковой фильтрации в зависимости от нозологического типа социально-значимых заболеваний. Клин. нефрология. 2019;1;32–41. Doi: https://dx.doi.org/10.18565/nephrology.2019.1.32-41. [Murkamilov I.T., Sabirov I.S., Fomin V.V., Murkamilova ZH.A. Izuchenie vozmozhnostej ispol’zovaniya raschetnyh metodov ocenki skorosti klubochkovoj fil’tracii v zavisimosti ot nozologicheskogo tipa social’no-znachimyh zabolevanij. Clin. Nefrol. 2019;1:32–41].

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Figure

Download (98KB)

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies