Effect of diabetes on incidence of peritoneal dialysis-associated peritonitis
Autoři:
Risa Ueda aff001; Masatsugu Nakao aff001; Yukio Maruyama aff001; Akio Nakashima aff001; Izumi Yamamoto aff001; Nanae Matsuo aff001; Yudo Tanno aff001; Ichiro Ohkido aff001; Masato Ikeda aff001; Hiroyasu Yamamoto aff001; Keitaro Yokoyama aff001; Takashi Yokoo aff001
Působiště autorů:
Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
aff001
Vyšlo v časopise:
PLoS ONE 14(12)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0225316
Souhrn
Background
Several reports on patients with diabetes mellitus (DM) treated by peritoneal dialysis (PD) have shown a higher risk of PD-associated peritonitis compared to non-DM (NDM) patients. The aim of this study was to investigate the incidence of PD-associated peritonitis in DM patients.
Methods
We divided all patients who received PD at a single center between January 1980 and December 2012 into three groups according to era: Period 1 (n = 43, 1980–1993); Period 2 (n = 123, 1994–2004); and Period 3 (n = 207, 2005–2012). We investigated incidences of PD-associated peritonitis between patients with and without DM.
Results
In Periods 1 and 2, incidence of PD-associated peritonitis was higher in the DM group than in the NDM group (P<0.05). However, no difference according to presence of DM was seen in Period 3. Multivariate Cox regression analysis revealed DM as a risk factor for incidence of PD-associated peritonitis in Periods 1 and 2, but not in Period 3 (hazard ratio [HR], 2.49; 95% confidence interval [CI], 1.15 to 5.23; HR, 2.36; 95%CI, 1.13 to 4.58; and HR, 0.82; 95%CI, 0.41 to 1.54, respectively). Furthermore, the peritonitis-free period was significantly shorter in the DM group than in the DM group in Periods 1 and 2, whereas no significant difference was seen in Period 3 (P<0.01, P<0.01 and P = 0.55, respectively). Moreover, a significant interaction was seen between diabetes and study period, and became less pronounced during Period 3(P<0.01).
Conclusions
The increased risk of peritonitis in diabetics reported in previous periods has not been evident in recent years.
Klíčová slova:
Medical dialysis – Methicillin-resistant Staphylococcus aureus – Peritonitis – Staphylococcus – Staphylococcus epidermidis – Streptococcal infections – Biocompatibility
Zdroje
1. Masakane I, Nakai S, Ogata S, Kimata N, Hanafusa N, Hamano T, et al. An overview of regular dialysis treatment in Japan (as of 31 December 2013). Ther Apher Dial 2015; 19(6): 540–74. doi: 10.1111/1744-9987.12378 26768810.
2. Saran R, Robinson B, Abbott KC, Agodoa LYC, Bhave N, Bragg-Gresham J, et al. US renal data system 2017 annual data report: Epidemiology of kidney disease in the United States. Am J Kidney Dis. 2018; 71(3S1): A7. doi: 10.1053/j.ajkd.2018.01.002 29477157.
3. Kramer A, Pippias M, Noordzij M, Stel VS, Afentakis N, Ambuhl PM, et al. The European renal association—European Dialysis and Transplant Association (ERA-EDTA) registry annual report 2015: a summary. Clin kidney j 2018; 11(1): 108–122. doi: 10.1093/ckj/sfx149 29423210.
4. Masakane I, Taniguchi M, Nakai S, Tsuchida K, Goto S, Wada A, et al. Annual dialysis data report 2015, JSDT renal data registry. Renal Replacement Therapy. 2018; 4: 19. doi: 10.1186/s41100-018-0149-8
5. Shah BR, Hux JE. Quantifying the risk of infectious diseases for people with diabetes. Diabetes Care 2003; 26(2): 510–13. doi: 10.2337/diacare.26.2.510 12547890
6. Chow KM, Szeto CC, Leung CB, Kwan BC, Law MC. Li PK. A risk analysis of continuous ambulatory peritoneal dialysis-related peritonitis. Perit Dial Int 2005; 25(4): 374–9. 16022095.
7. Oo TN, Roberts TL, Collins AJ. A comparison of peritonitis rates from the United State Renal Data System database: CAPD versus continuous cycling peritoneal dialysis patients. Am J Kidney Dis 2005; 45: 372–80. doi: 10.1053/j.ajkd.2004.10.008 15685516.
8. Han SH, Lee SC, Ahn SV, Lee JE, Kim DK, Lee TH, et al. Reduced residual renal function is a risk of peritonitis in continuous ambulatory peritoneal dialysis patients. Nephrol Dial Transplant 2007; 22: 2653–8. doi: 10.1093/ndt/gfm242 17517797.
9. Nakao M, Yamamoto I, Maruyama Y, Morishita M, Nakashima A, Matsuo N, et al. Risk factors for encapsulating peritoneal sclerosis: analysis of 36-year experience in a University Hospital. Nephrology (Carlton) 2017; 22(11): 907–12. doi: 10.1111/nep.12911 27556577.
10. Nessim SJ, Bargman JM, Austin PC, Nisenbaum R, Jassal SV. Predictors of peritonitis in patients on peritoneal dialysis: results of a large, prospective Canadian database. Clin J Am Soc Nephrol 2009; 4: 1195–200. doi: 10.2215/CJN.00910209 19406969.
11. Tsai CC, Lee JJ, Liu TP, Ko WC, Wu CJ, Pan CF, et al. Effects of age and diabetes mellitus on clinical outcomes in patients with peritoneal dialysis-related peritonitis. Surg Infect (Larchmt) 2013; 14:540–6. doi: 10.1089/sur.2012.195 24116738.
12. Ozener C, Arikan H, Karayaylali I, Utas C, Bozfakioglu S, Akpolat T, et al. The impact of diabetes mellitus on peritoneal dialysis: the Turkey Multicenter Clinic Study. Ren Fail 2014; 36: 149–53. doi: 10.3109/0886022X.2013.843275 24131086.
13. Nishina M, Yanagi H, Kakuta T, Endoh M, Fukagawa M, Takagi A. A 10-year retrospective cohort study on the risk factors for peritoneal dialysis-related peritonitis: a single-center study at Tokai University Hospital. Clin Exp Nephrol 2014; 18: 649–54. doi: 10.1007/s10157-013-0872-y 24085653
14. Nadeau-Fredette AC, Johnson DW, Hawley CM, Pascoe EM, Cho Y, Clayton PA et al. Center-specific factors associated with peritonitis risk-a multi-center registry analysis. Perit Dial Int 2016; 36: 509–18. doi: 10.3747/pdi.2015.00146 26764341.
15. Martin LC, Caramori JC, Fernandes N, Divino-Filho JC, Pecoits-Filho R, Barretti P. Geographic and educational factors and risk of the first peritonitis episode in Brazilian peritoneal Dialysis study (BRAZPD) patients. Clin J Am Soc Nephrol 2011; 6: 1944–51. doi: 10.2215/CJN.11431210 21737854.
16. Nakao M, Yamamoto I, Maruyama Y, Nakashima A, Matsuo N, Tanno Y, et al. 33 years of peritoneal dialysis-associated peritonitis: A single-center study in Japan. Ther Apher Dial 2016; 20: 60–5. doi: 10.1111/1744-9987.12372 26577015.
17. Daly C, Cody JD, Khan I, Rabindranath KS, Vale L, Wallace SA. Double bag or Y-set versus standard transfer systems for continuous ambulatory peritoneal dialysis in end-stage kidney disease. Cochrane Database Syst Rev 2014; 8: CD003078. doi: 10.1002/14651858.CD003078.pub2 25117423.
18. Kitterer D, Latus J, Pöhlmann C, Alscher MD, Kimmel M. Microbiological surveillance of peritoneal dialysis associated peritonitis: Antimicrobial susceptibility profiles of a referral center in GERMANY over 32 Years. PLoS ONE 2015; 10(9): e0135969. doi: 10.1371/journal.pone.0135969 26405797
19. Govindarajulu S, Hawley CM, McDonald SP, Brown FG, Rosman JB, Wiggins KJ, et al. Staphylococcus aureus peritonitis in Australian peritoneal dialysis patients; predictors, treatment and outcomes in 503 cases. Perit Dial Int 2010; 30:311–19. doi: 10.3747/pdi.2008.00258 20190031
20. O’Shea S, Hawley CM, McDonald SP, Brown FG, Rosman JB, Wiggins KJ, Bannister KM, et al. Streptococcal peritonitis in Australian peritoneal dialysis patients: predictors, treatment and outcomes in 287 cases. BMC Nephrol. 2009;10:19. doi: 10.1186/1471-2369-10-19 19631002
21. Shukla A, Abreu Z, Bargman JM. Streptococcal PD peritonitis: a 10-year review of one centre’s experience. Nephrol Dial Transplant. 2006;21:3545–3549. doi: 10.1093/ndt/gfl407 17005523
22. Li PK, Szeto CC, Piraino B, de Arteaga J, Fan S, Figueiredo AE, et al. ISPD peritonitis recommendations: 2016 update on prevention and treatment. Perit Dial Int. 2016; 36:481–508. doi: 10.3747/pdi.2016.00078 27282851
23. Joshi N, Caputo GM, Weitekamp MR, Karchmer AW. Infections in patients with diabetes mellitus. N Eng J Med 1999; 341:1906–12. doi: 10.1056/NEJM199912163412507 10601511.
24. Additio Park SH, Nam JY, Han E, Lee YH, Lee BW, Kim BS, et al. Efficacy of different dipeptidyl peptidase-4 (DPP-4) inhibitors on metabolic parameters in patients with type 2 diabetes undergoing dialysis. Medicine. 2016;95(32):e4543.nal files doi: 10.1097/MD.0000000000004543 27512877
25. Ito H, Mifune M, Matsuyama E, Furusho M, Omoto T, Shinozaki M, et al. Vildagliptin is Effective for Glycemic Control in Diabetic Patients Undergoing either Hemodialysis or Peritoneal Dialysis. Diabetes therapy: research, treatment and education of diabetes and related disorders. 2013;4(2):321–329.
26. Hiramatsu T, Ozeki A, Asai K, Saka M, Hobo A, Furuta S. Liraglutide improves glycemic and blood pressure control and ameliorates progression of left ventricular hypertrophy in patients with type 2 diabetes mellitus on peritoneal dialysis. Ther Apher Dial 2015; 19(6):598–605. doi: 10.1111/1744-9987.12319 26556397
27. Rodriguez-Carmona A, Perez-Fontan M, Lopez-Muniz A, Ferreiro-Hermida T, Garcia-Falcon T. Correlation between glycemic control and the incidence of peritoneal and catheter tunnel and exit-site infections in diabetic patients undergoing peritoneal dialysis. Perit Dial Int 2014; 34: 618–26. doi: 10.3747/pdi.2012.00185 23818005.
28. Lee MJ, Kwon YE, Park KS, Kee YK, Yoon CY, Han IM, et al. Glycemic control modifies difference in mortality risk between hemodialysis and peritoneal dialysis in incident dialysis patients with diabetes: result from a nationwide prospective cohort in Korea. Medicine (Baltimore) 2016; 95:e3118. doi: 10.1097/MD.0000000000003118 26986162.
29. Johson DW, Brown FG, Clarke M, Boudville N, Elias TJ, Foo MW, et al. The effects of biocompatible compared with standard peritoneal dialysis solutions on peritonitis microbiology, treatment, and outcomes: the balANZ trial. Perit Dial Int 2012; 32:497–506. doi: 10.3747/pdi.2012.00052 22991015.
30. Srivastava S, Hildebrand S, Fan SL. Long-term follow-up of patients randomized to biocompatible or conventional peritoneal dialysis solutions show no difference in peritonitis or technique survival: Kidney Int 2011 Nov; 80(9): 986–91. doi: 10.1038/ki.2011.244 21814174.
31. Wang Q, Bernardini J, Piraino B, Fried L. Albumin at the start of peritoneal dialysis predicts the development of peritonitis. Am J Kidney Dis 2003; 41:664–9. doi: 10.1053/ajkd.2003.50128 12612991.
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