Risk factors of peritonitis in peritoneal dialysis patients:a single unit study

2017 ◽  
Author(s):  
Lilia Ben Lasfar
Keyword(s):  
Risk Factors ◽  
Peritoneal Dialysis ◽  
Single Unit

Insulin Resistance and Glucose Homeostasis in Peritoneal Dialysis

2009 ◽  
Vol 29 (2_suppl) ◽  
pp. 145-148 ◽  
Author(s):  
Paulo Cezar Fortes ◽  
Thyago Proença de Moraes ◽  
Jamille Godoy Mendes ◽  
Andrea E. Stinghen ◽  
Silvia Carreira Ribeiro ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Peritoneal Dialysis ◽  
Metabolic Disorders ◽  
Patient Survival ◽  
Metabolic Abnormalities ◽  
Dialysis Fluid ◽  
Altered Glucose ◽  
Insulin Homeostasis ◽  
Therapeutic Measures

Cardiovascular disease (CVD) is the main cause of death in peritoneal dialysis (PD) patients, a situation that can be explained by a combination of traditional and nontraditional risk factors for CVD in these patients. Glucose and insulin homeostasis are altered in chronic kidney disease (CKD) patients even in the early stages of CKD, leading to insulin resistance by various pathways. Several factors have been implicated in the pathogenesis of insulin resistance, including anemia, dyslipidemia, uremia, malnutrition, excess of parathyroid hormone, vitamin D deficiency, metabolic acidosis, and increase in plasma free fatty acids and proinflammatory cytokines. Insulin resistance and dyslipidemia are observed and increase with the progression of CKD, playing an important role in the pathogenesis of hypertension and atherosclerosis. Particularly in PD patients, exposure to glucose from dialysis fluid accentuates the foregoing metabolic abnormalities. In conclusion, insulin resistance and altered glucose metabolism are frequently observed in CKD, and although dialysis partly corrects those disturbances, the use of glucose PD solutions intensifies a series of harmful metabolic consequences. New therapeutic measures aimed at reducing metabolic disorders are urgently needed and perhaps will improve PD patient survival.

scholarly journals THE RISK FACTORS AND OUTCOME OF FUNGAL PERITONITIS IN CONTINUOUS AMBULATORY PERITONEAL DIALYSIS PATIENTS

2009 ◽  
Vol 27 (1) ◽  
pp. 59-61
Author(s):  
E Indhumathi ◽  
V Chandrasekaran ◽  
D Jagadeswaran ◽  
M Varadarajan ◽  
G Abraham ◽  
...  
Keyword(s):  
Risk Factors ◽  
Peritoneal Dialysis ◽  
Continuous Ambulatory Peritoneal Dialysis ◽  
Dialysis Patients ◽  
Fungal Peritonitis

Risk Factors for Cardiovascular Disease in Patients Undergoing Peritoneal Dialysis

2007 ◽  
Vol 27 (2_suppl) ◽  
pp. 205-209 ◽  
Author(s):  
Elvia García–López ◽  
Juan J. Carrero ◽  
Mohamed E. Suliman ◽  
Bengt Lindholm ◽  
Peter Stenvinkel
Keyword(s):  
Risk Factors ◽  
Peritoneal Dialysis ◽  
Cardiovascular Risk ◽  
Pressure Control ◽  
High Cardiovascular Risk ◽  
Cardiovascular Research ◽  
Factors Associated ◽  
Glycation End Products ◽  
Anemia Management ◽  
Altered Lipid

Patients on peritoneal dialysis (PD) are at high cardiovascular risk. Although some risk factors are unmodifiable (for example, age, sex, genetics), others are exacerbated in the unfriendly uremic milieu (inflammation, oxidative stress, mineral disturbances) or contribute per se to kidney disease and cardiovascular progression (diabetes mellitus, hypertension). Moreover, several factors associated with PD therapy may both increase (by altered lipid profile, hyperinsulinemia, and formation of advanced glycation end-products) and decrease (by better blood pressure control and anemia management) cardiovascular risk. The present review discusses recent findings and therapy trends in cardiovascular research on the PD population, with emphasis on the roles of inflammation, insulin resistance, homocysteinemia, dyslipidemia, vascular calcification, and genetics/epigenetics.

Age dependence of brachial cuff-based ambulatory PWV in end-stage kidney disease patients undergoing long-term peritoneal dialysis

2021 ◽  
pp. 089686082199692
Author(s):  
Vasilios Vaios ◽  
Panagiotis I Georgianos ◽  
Georgia Vareta ◽  
Dimitrios Divanis ◽  
Evangelia Dounousi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Heart Rate ◽  
Peritoneal Dialysis ◽  
Kidney Disease ◽  
Pulse Wave ◽  
Age Dependence ◽  
End Stage Kidney Disease ◽  
End Stage

Background: The newly introduced device Mobil-O-Graph (IEM, Stolberg, Germany) combines brachial cuff oscillometry and pulse wave analysis, enabling the determination of pulse wave velocity (PWV) via complex mathematic algorithms during 24-h ambulatory blood pressure monitoring (ABPM). However, the determinants of oscillometric PWV in the end-stage kidney disease (ESKD) population remain poorly understood. Methods: In this study, 81 ESKD patients undergoing long-term peritoneal dialysis underwent 24-h ABPM with the Mobil-O-Graph device. The association of 24-h oscillometric PWV with several demographic, clinical and haemodynamic parameters was explored using linear regression analysis. Results: In univariate analysis, among 21 risk factors, 24-h PWV exhibited a positive relationship with age, body mass index, overhydration assessed via bioimpedance spectroscopy, diabetic status, history of dyslipidaemia and coronary heart disease, and it had a negative relationship with female sex and 24-h heart rate. In stepwise multivariate analysis, age ( β: 0.883), 24-h systolic blood pressure (BP) ( β: 0.217) and 24-h heart rate ( β: −0.083) were the only three factors that remained as independent determinants of 24-h PWV (adjusted R 2 = 0.929). These associations were not modified when all 21 risk factors were analysed conjointly or when the model included only variables shown to be significant in univariate comparisons. Conclusion: The present study shows that age together with simultaneously assessed oscillometric BP and heart rate are the major determinants of Mobil-O-Graph-derived PWV, explaining >90% of the total variation of this marker. This age dependence of oscillometric PWV limits the validity of this marker to detect the premature vascular ageing, a unique characteristic of vascular remodelling in ESKD.

scholarly journals Risk factors for mortality in patients undergoing peritoneal dialysis: a systematic review and meta-analysis

Renal Failure ◽  
2021 ◽  
Vol 43 (1) ◽  
pp. 743-753
Author(s):  
Jialing Zhang ◽  
Xiangxue Lu ◽  
Han Li ◽  
Shixiang Wang
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Peritoneal Dialysis ◽  
Meta Analysis

scholarly journals Prevalence, risk factors and impact on outcomes of 30-day unexpected rehospitalization in incident peritoneal dialysis patients

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jianbo Li ◽  
Jing Yu ◽  
Naya Huang ◽  
Hongjian Ye ◽  
Dan Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Peritoneal Dialysis ◽  
Fluid Overload ◽  
Multivariate Logistic Regression Analysis ◽  
Technical Failure ◽  
Cox Regression Analysis ◽  
Catheter Malfunction ◽  
All Cause Mortality ◽  
Cvd Mortality

Abstract Background Rehospitalization is a major problem for end stage renal disease (ESRD) populations. However, researches on 30-day unexpected rehospitalzation of incident peritoneal dialysis (PD) patients were limited. This study aimed to investigate the prevalence, risk factors and impact on outcomes of 30-day unexpected rehospitalization in incident PD patients. Methods This was a retrospective cohort study. Patients who accepted PD catheter implantation in our centre from Jan 1, 2006 to Dec 31, 2013 and regular follow-up were included. The demographic characteristics, laboratory parameters, and rehospitalization data were collected and analyzed. The primary outcome was all-cause mortality, and the secondary outcomes included cardiovascular disease (CVD) mortality and technical failure. Results Totally 1632 patients (46.9 ± 15.3 years old, 60.1% male, 25.6% with diabetes) were included. Among them, 149 (9.1%) had a 30-day unexpected rehospitalization after discharge. PD-related peritonitis (n = 48, 32.2%), catheter malfunction (n = 30, 20.1%) and severe fluid overload (n = 19, 12.8%) were the top three causes for the rehospitalization. Multivariate logistic regression analysis showed that length of index hospital stays [Odds ratio (OR) =1.02, 95% confidence interval (CI) 1.00–1.03, P = 0.036) and hyponatremia (OR = 1.85, 95% CI 1.06–3.24, P = 0.031) were independently associated with the rehospitalization. Multivariate Cox regression analysis indicated that 30-day rehospitalization was an independent risk factor for all-cause mortality [Hazard ratio (HR) =1.52, 95% CI 1.07–2.16, P = 0.019) and CVD mortality (HR = 1.73, 95% CI 1.03–2.90, P = 0.038). Conclusions The prevalence of 30-day unexpected rehospitalization for incident PD patients in our centre was 9.1%. The top three causes for the rehospitalization were PD-related peritonitis, catheter malfunction and severe fluid overload. Thirty-day unexpected rehospitalization increased the risk of all-cause mortality and CVD mortality for PD patients.

#58: Improving the Peritoneal Dialysis Program in a Pediatric hospital in Honduras Using Six Sigma Methodology

2021 ◽  
Vol 10 (Supplement_1) ◽  
pp. S20-S21
Author(s):  
Sara Eloisa Rivera Molina ◽  
Claudia Romero Quiroz ◽  
Dilcia Sauceda Acosta
Keyword(s):  
Risk Factors ◽  
Peritoneal Dialysis ◽  
Six Sigma ◽  
Peritoneal Fluid ◽  
Dwell Time ◽  
Clinical Signs ◽  
Pediatric Hospital ◽  
Gram Negative ◽  
Six Sigma Methodology ◽  
Fluid Cell

Abstract Background Peritoneal dialysis (PD) is the most common method of renal replacement therapy (RRT) in pediatric patients in Honduras. It has improved survival and quality of life. Unfortunately, there are complications associated with the use of PD catheters, 85% of which, are of infectious origin. These infections carry a high burden of morbidity and mortality, lengthen hospital stays, and increase costs and are a motive for transfer to hemodialysis. Hospital María Especialidades Pediátricas (HMEP) is a pediatric hospital caring for patients with chronic kidney disease in Honduras, PD has been offered as a method for RRT since September 2014. Methods In HMEP, monitoring of PD infection rates through active surveillance began December 1, 2017, as the first step (define and measure) toward the improvement of the PD Program based on Six Sigma methodology. A case of peritonitis was diagnosed when at least 2 of the following 3 criteria were met: (1) Clinical signs or symptoms of peritonitis (cloudy effluent or abdominal pain with fever or vomiting); (2) Altered peritoneal fluid cell count (after a dwell time of 2 hours: a WBC above 100 cells/mm3 in an uncentrifuged sample, with at least 50% neutrophils; or any WBC count with at least 50% neutrophils if the dwell time was less than 2 hours); (3) Positive peritoneal fluid culture. Patient data, risk factors for infection, causative organisms, and event outcomes were recorded. We present the main results of the analysis phase of all peritonitis cases using descriptive statistics. Results From December 1, 2017, through November 30, 2019, 79 patients required PD, representing 8931 catheter-days; and 30 peritonitis episodes occurred among 28 individuals (35%). The peritonitis rate during the 2-year surveillance period was 1.2 infections per patient-years (ideally: <0.67). Twenty-seven (90%) of cases were classified as healthcare associated since these patients underwent PD 3 times a week in the hospital and the catheter was only manipulated by medical staff; the other patients received dialysis at home. The median time from catheter placement to the event was 27 days (5–383 days). All patients had clinical signs or symptoms of peritonitis. Peritoneal fluid cell count results were available for 29 infections, all of which reported altered results. Peritoneal fluid cultures were positive in only 12 events (40%); 6 (50%) reported Gram-negative organisms, 5 (41%) reported Gram-positive and 1 reported Aspergillus spp. Nonfermentative Gram-negative bacteria (Pseudomonas aeruginosa and Acinetobacter lwoffii) were the most common organisms identified; Staphylococcus epidermidis was the most common Gram-positive. Ten events (33%) required removal and replacement of the catheter due to the infection, 6 (20%) required permanent transfer to hemodialysis; 2 (7.1%) patients experienced a relapse. Two (7.1%) died due to infection. Conclusions Implementing Six Sigma methodology allowed us to improve our PD Program by objectively quantifying the magnitude of the problem and identifying risk factors. This supported the infection prevention and control team with the implementation and improvement of preventive measures: change in hand hygiene products (from triclosan to chlorhexidine), increasing hand hygiene compliance, improving connection/disconnection procedure, PD catheter insertion, and maintenance, empowerment of caregivers.

The Iron Biology Status of Peritoneal Dialysis Patients May be a Risk Factor for Development of Infectious Peritonitis

2019 ◽  
Vol 39 (4) ◽  
pp. 362-374 ◽  
Author(s):  
Marwh Aldriwesh ◽  
Noura Al-Dayan ◽  
Jonathan Barratt ◽  
Primrose Freestone
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Peritoneal Dialysis ◽  
Stress Hormones ◽  
Infection Risk ◽  
Mortality And Morbidity ◽  
Peritoneal Dialysate ◽  
Susceptibility To Infection ◽  
Infection Risk Factors

Background Infectious peritonitis is a clinically important condition contributing to the significant mortality and morbidity rates observed in peritoneal dialysis (PD) patients. Although some of the socioeconomic risk factors for PD-associated peritonitis have been identified, it is still unclear why certain patients are more susceptible than others to infection. Methods We examined the molecular components of human peritoneal dialysate (HPD) in an attempt to identify factors that might increase patient susceptibility to infection. Characterization studies were performed on initial and follow-up dialysate samples collected from 9 renal failure patients on PD. Results Our in vitro data showed that peritonitis-causing bacteria grew differently in the patient dialysates. Proteomic analysis identified an association between transferrin presence and infection risk, as peritoneal transferrin was discovered to be iron-saturated, which was in marked contrast to transferrin in blood. Further, use of radioactive iron-labeled transferrin showed peritoneal transferrin could act as a direct iron source for the growth of peritonitis-causing bacteria. We also found catecholamine stress hormones noradrenaline and adrenaline were present in the dialysates and were apparently involved in enhancing the growth of the bacteria via transferrin iron provision. This suggests the iron biology status of the PD patient may be a risk factor for development of infectious peritonitis Conclusions Collectively, our study suggests transferrin and catecholamines within peritoneal dialysate may be indicators of the potential for bacterial growth in HPD and, as infection risk factors, represent possible future targets for therapeutic manipulation.

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