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Tang J, Wang D, Chen Y, Feng J. The association between new inflammation markers and frequent peritoneal dialysis-associated peritonitis. BMC Nephrol 2024; 25:81. [PMID: 38443857 PMCID: PMC10916203 DOI: 10.1186/s12882-024-03496-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 02/07/2024] [Indexed: 03/07/2024] Open
Abstract
OBJECTIVE To validate an association between new inflammation and frequent peritoneal dialysis-associated peritonitis (PDAP). MATERIALS AND METHODS In China, retrospective clinical data were collected on 208 patients who received continuous ambulatory peritoneal dialysis (CAPD) between 2010 and 2021. The patients were divided into two groups: non-frequent PDAP (the interval between two peritonitis episodes of more than one year) and frequent PDAP (the interval between two peritonitis episodes of less than one year). Patients with their first episode of peritonitis had their age, gender, history of hypertension, diabetic disease, underlying renal disease, bacterial infection, and laboratory data collected. The outcomes of bacterial dispersion, systemic immune-inflammation index (SII), high-density lipoprotein cholesterol (HDL-C), C-reactive protein (CRP), and risk variables associated with frequent PDAP were analyzed. RESULTS There are differences between the two groups in dialysis time (p = 0.006), hypertensive nephropathy (p = 0.038), staphylococcus (p = 0.035), white blood cells (p = 0.001), neutrophil (p < 0.01), lymphocyte (p < 0.01), platelet(p = 0.01), SII(p < 0.01), CRP/HDL-C (p = 0.002), CRP (p < 0.001), serum creatinine (p = 0.007), blood urea nitrogen (p = 0.05), serum magnesium (0.03), serum potassium (p = 0.007), and dialysate polymorphonuclear cells (p = 0.004). Multifactorial logistic regression analysis found that SII (p < 0.001), CRP/HDL-C (p = 0.041), and Diabetes mellitus (p = 0.027) were independent risk factors for frequent PDAP. The ROC curve analysis revealed that combining SII with CRP/HDL-C resulted in the largest AUC area (AUC = 0.814). CONCLUSIONS Our findings offer clinical proof of the combination of SII and CRP/HDL-C in patients with frequent PDAP.
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Affiliation(s)
- Jing Tang
- Department of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China
| | - Dongxue Wang
- Department of Rheumatology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yun Chen
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jinhong Feng
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
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Agarwal S, Gillis L, Wilkie M. Peritoneal Dialysis Care for People with Diabetes, Polycystic Kidney Disease, or Advanced Liver Disease. Clin J Am Soc Nephrol 2024:01277230-990000000-00331. [PMID: 38190135 DOI: 10.2215/cjn.0000000000000420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 12/22/2023] [Indexed: 01/09/2024]
Abstract
People treated with peritoneal dialysis (PD) often have complicating conditions that require careful management. Three such conditions are reviewed in this article-diabetes mellitus, polycystic kidney disease, and chronic liver disease. Each of these conditions requires an understanding of both its effect on the delivery of the PD and the effect of the PD on the condition itself. In diabetes, glucose absorption from the dialysate complicates metabolic control and affects salt and water management and patient outcome. There is particular benefit in clinical care being delivered through a multidisciplinary team that involves both kidney and diabetes experts. In relation to polycystic kidney disease, a key issue is the potential for increased intraperitoneal pressure due to the combined effect of the enlarged polycystic organs and the presence of the dialysis solution, and therefore, the PD prescription requires to be managed with a particular focus on limiting that pressure. For patients with liver disease, key issues include nutritional support because PD can add to protein losses already consequent on the liver disease itself. Considered approaches are required to manage ascites and reduce infection risk and the potential for hernias and leaks to develop. Mortality in this group is unfortunately high-however, PD may present a better management option than hemodialysis in many patients-particularly in those where the liver disease is complicated by low BP, clotting abnormalities, or troublesome ascites. Overall, the choice to use PD in patients with these complicating conditions should be based on shared decision making with the patient and their family members informed by high-quality information in which risks, benefits, and management strategies are clearly presented.
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Affiliation(s)
- Shailesh Agarwal
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom
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Dai R, Peng C, Sang T, Cheng M, Wang Y, Zhang L. Construction and validation of a predictive model for the risk of peritoneal dialysis-associated peritonitis after peritoneal dialysis catheterization. Front Med (Lausanne) 2023; 10:1193754. [PMID: 37790129 PMCID: PMC10543278 DOI: 10.3389/fmed.2023.1193754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 09/01/2023] [Indexed: 10/05/2023] Open
Abstract
Aim To construct and validate a risk prediction model for the development of peritoneal dialysis-associated peritonitis (PDAP) in patients undergoing peritoneal dialysis (PD). Methods This retrospective analysis included patients undergoing PD at the Department of Nephrology, the First Affiliated Hospital of Anhui University of Chinese Medicine, between January 2016 and January 2021. Baseline data were collected. The primary study endpoint was PDAP occurrence. Patients were divided into a training cohort (n = 264) and a validation cohort (n = 112) for model building and validation. Least Absolute Shrinkage and Selection Operator (LASSO) regression was applied to optimize the screening variables. Predictive models were developed using multifactorial logistic regression analysis with column line plots. Receiver operating characteristic (ROC) curves, calibration curves, and Hosmer-Lemeshow goodness-of-fit tests were used to verify and evaluate the discrimination and calibration of the prediction models. Decision curve analysis (DCA) was used to assess the clinical validity of the prediction models. Results Five potential predictors of PDAP after PD catheterization were screened using LASSO regression analysis, including neutrophil-to-lymphocyte ratio (NLR), serum ALBumin (ALB), uric acid (UA), high sensitivity C-reactive protein (hsCRP), and diabetes mellitus (DM). Predictive models were developed by multi-factor logistic regression analysis and plotted in columns. The area under the ROC curve (AUC) values were 0.891 (95% confidence interval [CI]: 0.829-0.844) and 0.882 (95% CI: 0.722-0.957) for the training and validation cohorts, respectively. The Hosmer-Lemeshow test showed a good fit (p = 0.829 for the training cohort; p = 0.602 for the validation cohort). The DCA curves indicated that the threshold probabilities for the training and validation cohorts were 4-64% and 3-90%, respectively, predicting a good net gain for the clinical model. Conclusion NLR, ALB, UA, hsCRP, and DM are independent predictors of PDAP after PD catheterization. The column line graph model constructed based on the abovementioned factors has good discriminatory and calibrating ability and helps to predict the risk of PDAP after PD catheterization.
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Affiliation(s)
- Rong Dai
- Department of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China
| | - Chuyi Peng
- Graduate School, Anhui University of Chinese Medicine, Hefei, China
| | - Tian Sang
- Graduate School, Anhui University of Chinese Medicine, Hefei, China
| | - Meng Cheng
- Department of Nephrology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
| | - Yiping Wang
- Department of Nephrology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
| | - Lei Zhang
- Department of Nephrology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
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Mao Y, Xiao D, Deng S, Xue S. Development of a clinical risk score system for peritoneal dialysis-associated peritonitis treatment failure. BMC Nephrol 2023; 24:229. [PMID: 37550622 PMCID: PMC10405427 DOI: 10.1186/s12882-023-03284-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/28/2023] [Indexed: 08/09/2023] Open
Abstract
OBJECTIVE This study aimed to construct a clinical risk score system for peritoneal dialysis-associated peritonitis (PDAP) treatment failure to provide a theoretical basis for clinical workers. METHODS A total of 161 PDAP individuals admitted to our hospital were included, among whom 70 cases were in the treatment-improved group and 87 cases were in the treatment failure group. We compared the general condition, clinical manifestations, and laboratory examination indicators of the two groups of individuals, used multivariate logistic regression analysis to identify the factors influencing PDAP treatment failure, and developed a clinical risk score system. The diagnostic performance of the risk score system was evaluated utilizing the receiver operating characteristic (ROC) curve. RESULTS Significant differences (P < 0.05) were observed between the two groups in terms of contamination, peritoneal fluid culture results, blood urea nitrogen (BUN) level, C-reactive protein (CRP) level, B-type natriuretic peptide (BNP) level, average residual urine (RU) volume, and urea clearance rate (UCR). Multivariate logistic regression analysis showed that BUN level, CRP level, BNP level, average RU volume, and UCR were independent risk factors affecting PDAP patient treatment outcomes (P < 0.05). The ROC curve analysis of the risk score system for predicting treatment failure in PDAP individuals showed an area under the curve of 0.895 [95% confidence interval (0.847-0.943)]. The optimal cut-off point was 2.5 points, with corresponding sensitivity and specificity of 88.5% and 74.3%, separately. CONCLUSION BUN level, CRP level, BNP level, average RU volume, and UCR are independent risk factors for PDAP treatment failure. The clinical risk score system based on these five independent risk factors can accurately predict the risk of treatment failure in PDAP individuals.
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Affiliation(s)
- Yuhe Mao
- Department of Nephrology, Meizhou People' s Hospital, No. 63 Huangtang Road, 514000, Meizhou, Guangdong, China.
| | - Dan Xiao
- Department of Nephrology, Meizhou People' s Hospital, No. 63 Huangtang Road, 514000, Meizhou, Guangdong, China
| | - Shengjing Deng
- Department of Nephrology, Meizhou People' s Hospital, No. 63 Huangtang Road, 514000, Meizhou, Guangdong, China
| | - Shaoqing Xue
- Department of Nephrology, Meizhou People' s Hospital, No. 63 Huangtang Road, 514000, Meizhou, Guangdong, China
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Zanchi A, Jehle AW, Lamine F, Vogt B, Czerlau C, Bilz S, Seeger H, de Seigneux S. Diabetic kidney disease in type 2 diabetes: a consensus statement from the Swiss Societies of Diabetes and Nephrology. Swiss Med Wkly 2023; 153:40004. [PMID: 36652726 DOI: 10.57187/smw.2023.40004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Diabetic kidney disease is highly prevalent in patients with type 2 diabetes and is a major cause of end-stage renal disease in Switzerland. Patients with diabetic kidney disease are among the most complex patients in diabetes care. They require a multifactorial and multidisciplinary approach with the goal to slow the decline in glomerular filtration rate (GFR) and cardiovascular morbidity. With this consensus we propose an evidence-based guidance to health care providers involved in the care of type 2 diabetic patients with diabetic kidney disease.First, there is a need to increase physician awareness and improve screening for diabetic kidney disease as early intervention may improve clinical outcomes and the financial burden. Evaluation of estimated GFR (eGFR) and spot urine albumin/creatinine ratio is recommended at least annually. Once it is diagnosed, glucose control and optimisation of blood pressure control with renin-angiotensin system blockers have been recommended as mainstay management of diabetic kidney disease for more than 20 years. Recent, high quality randomised controlled trials have shown that sodium-glucose cotransporter-2 (SGLT2) inhibition slows eGFR decline and cardiovascular events beyond glucose control. Likewise, mineralocorticoid receptor antagonism with finerenone has cardiorenal protective effects in diabetic kidney disease. Glucagon-like peptide-1 (GLP1) receptor agonists improve weight loss if needed, and decrease albuminuria and cardiovascular morbidity. Lipid control is also important to decrease cardiovascular events. All these therapies are included in the treatment algorithms proposed in this consensus. With advancing kidney failure, other challenges may rise, such as hyperkalaemia, anaemia and metabolic acidosis, as well as chronic kidney disease-mineral and bone disorder. These different topics and treatment strategies are discussed in this consensus. Finally, an update on diabetes management in renal replacement therapy such as haemodialysis, peritoneal dialysis and renal transplantation is provided. With the recent developments of efficient therapies for diabetic kidney disease, it has become evident that a consensus document is necessary. We are optimistic that it will significantly contribute to a high-quality care for patients with diabetic kidney disease in Switzerland in the future.
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Affiliation(s)
- Anne Zanchi
- Service of Nephrology and Hypertension, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland.,Service of Endocrinology, Diabetes and Metabolism, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Andreas W Jehle
- Department of Internal Medicine, Hirslanden Klinik St. Anna, Lucerne, Switzerland.,Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Faiza Lamine
- Service of Endocrinology, Diabetes and Metabolism, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland.,Unit of Diabetes and Endocrinology, Department of Internal Medicine, Riviera-Chablais Hospital (HRC), Rennaz, Switzerland
| | - Bruno Vogt
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Cecilia Czerlau
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Stefan Bilz
- Internal Medicine and Endocrinology, Kantonsspital St Gallen, Switzerland
| | - Harald Seeger
- Division of Nephrology, University Hospital Zurich, Switzerland
| | - Sophie de Seigneux
- Service of Nephrology and Hypertension, Department of Medicine, Geneva University Hospital, Switzerland
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Bakhtar P, Maillart E, Collart F, Verger C. Seasonal variations of enteric peritonitis in Belgium and France : RDPLF data. Bull Dial Domic 2022. [DOI: 10.25796/bdd.v4i4.73553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Summary
Little information is available on the seasonal ecology of germs responsible for peritoneal dialysis peritonitis. We performed a retrospective study based on RDPLF data covering the last 20 years and 20411 episodes of peritonitis.
We show that the percentage of enteric peritonitis is highest in summer, lowest in winter and identical in spring and autumn. This higher proportion of organisms of enteric origin in summer has itself tended to increase in recent years.
We postulate that a food contamination by enteric germs associated with an increased bacterial translocation at the level of the digestive tract itself favoured by constipation, as well as changes of the food nature could be responsible for this phenomenon.
These seasonal variations may suggest that probabilistic initial antibiotic therapy should be adapted in cases of suspected peritonitis before the results of bacteriological analysis.
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Huang DD, Li YY, Qi XM, Wu YG. A nomogram predicts cardiovascular events in patients with peritoneal dialysis-associated peritonitis. Ren Fail 2022; 44:1558-1567. [PMID: 36154556 PMCID: PMC9518274 DOI: 10.1080/0886022x.2022.2126785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Objective To predict the risk factors for cardiovascular events within 5 years in patients with peritoneal dialysis-associated peritonitis and establish a nomogram for clinical prediction. Methods A prediction model was established by conducting an observational study in 150 patients with peritoneal dialysis-associated peritonitis obtained from the Information Database of AnHui Medical University Affiliated Hospital. The nomogram was constructed using the multivariate COX regression model. The C-index and the calibration plot were used to assess the discrimination and calibration of the prediction model. Results The elderly [HR = 2.453 (1.071–5.619)], history of cardiovascular events [HR = 2.296 (1.220–4.321)], alkaline phosphatase [HR = 1.004 (1.002–1.005)] and culture-positive [HR= 2.173 (1.009–4.682)] were identified as risk predictors of cardiovascular events, while serum albumin [HR = 0.396(0.170–0.924)] was identified as protective predictors of cardiovascular events. Combined with clinical studies, we constructed a nomogram based on the minimum value of the Akaike Information Criterion or Bayesian Information Criterion. The C index of the nomogram is 0.732, revealing great discrimination and appropriate calibration. Through the total score of the nomogram and the result of ROC, we classify patients into high-risk groups (cardiovascular events group) and low-risk groups (no cardiovascular events group). Cardiovascular events were significantly different for patients in the high-risk group compared to the low-risk group (HR = 3.862(2.202–6.772; p < 0.001). Conclusions The current novel nomogram can accurately predict cardiovascular events in patients with peritonitis associated with peritoneal dialysis. However, external validation is required before the model can be used in clinic settings.
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Affiliation(s)
- Dan-Dan Huang
- Department of Nephropathy, the First Affiliated Hospital, Anhui Medical University, Hefei, Anhui, PR China
| | - Yuan-Yuan Li
- Department of Nephropathy, the First Affiliated Hospital, Anhui Medical University, Hefei, Anhui, PR China
| | - Xiang-Ming Qi
- Department of Nephropathy, the First Affiliated Hospital, Anhui Medical University, Hefei, Anhui, PR China
| | - Yong-Gui Wu
- Department of Nephropathy, the First Affiliated Hospital, Anhui Medical University, Hefei, Anhui, PR China
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Wang M, Hsu HC, Yu MC, Wang IK, Huang CC, Chan M, Weng CH, Huang WH, Hsu CW, Huang LM, Tam FWK, Yen TH. Impact of kidney size on the outcome of diabetic patients receiving hemodialysis. PLoS One 2022; 17:e0266231. [PMID: 35358262 PMCID: PMC8970390 DOI: 10.1371/journal.pone.0266231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 03/16/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction
Diabetic patients normally have enlarged or normal-sized kidneys throughout their lifetime, but some diabetic uremic patients have small kidneys. It is uncertain if kidney size could have any negative impact on outcome in hemodialysis patients.
Methods
This longitudinal, observational cohort study recruited 301 diabetic hemodialysis patients in 2015, and followed until 2019. Patients were stratified into two subgroups according to their kidney sizes before dialysis, as small (n = 32) or enlarged or normal (n = 269). Baseline demographic, hematological, biochemical, nutritional, inflammatory and dialysis related data were collected for analysis.
Results
Patients with small kidney size were not only older (P<0.001) and had lower body mass index (P = 0.016), but had also higher blood uric acid concentration (P<0.001) compared with patients with enlarged or normal kidney size. All patients received adequate doses of hemodialysis since the Kt/V and urea reduction ratio was 1.7±0.3 and 0.7±0.1, respectively. Patients with small size kidneys received higher erythropoietin dose than patients with enlarged or normal kidney size (P = 0.031). At the end of analysis, 92 (30.6%) patients expired. Kaplan-Meier analysis revealed no survival difference between both groups (P = 0.753). In a multivariate logistic regression model, it was demonstrated that age (P<0.001), dialysis duration (P<0.001), as well as blood albumin (P = 0.012) and low-density lipoprotein (P = 0.009) concentrations were significantly correlated with mortality.
Conclusions
Small kidney size on starting hemodialysis was not related with an augmented risk for death in diabetic patients receiving hemodialysis. Further studies are necessary.
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Affiliation(s)
- Min Wang
- Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
| | - Hsin-Chiao Hsu
- Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
| | - Mei-Ching Yu
- Division of Pediatric Nephrology, Department of Pediatrics, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
| | - I-Kuan Wang
- Department of Nephrology, China Medical University Hospital, Taichung, and China Medical University, Taichung, Taiwan
| | - Chien-Chang Huang
- Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
| | - Ming‐Jen Chan
- Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
| | - Cheng-Hao Weng
- Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
| | - Wen-Hung Huang
- Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
| | - Ching-Wei Hsu
- Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
| | - Lan-Mei Huang
- Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
| | - Frederick W. K. Tam
- Department of Immunology and Inflammation, Centre for Inflammatory Disease, Imperial College London, London, United Kingdom
| | - Tzung-Hai Yen
- Department of Nephrology, Clinical Poison Center, Kidney Research Center, Center for Tissue Engineering, Chang Gung Memorial Hospital, Linkou, and Chang Gung University, Taoyuan, Taiwan
- * E-mail:
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Huang YJ, Jiang ZP, Zhou JF, Zhang X, Xiong LP, Liang MJ, Shi HR, Su N, Zhang R. Hypertriglyceridemia is a risk factor for treatment failure in patients with peritoneal dialysis-related peritonitis. Int Urol Nephrol 2021; 54:1583-1589. [PMID: 34689313 DOI: 10.1007/s11255-021-03027-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 10/08/2021] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Disorders of triglycerides (TG) are common in patients with peritoneal dialysis (PD). Hypertriglyceridemia has been demonstrated in various infections. The association between triglycerides and the outcomes of peritoneal dialysis-related peritonitis (PDRP) was investigated in this study. METHODS We retrospectively investigated patients with PDRP from January 1, 2013 to October 31, 2020. Hypertriglyceridemia was defined as triglycerides ≥ 1.7 mmol/L. PDRP episodes were divided into two groups: hypertriglyceridemia and normal levels of triglycerides. The clinical and laboratory baseline data of the two groups were collected and compared. The association between triglycerides and treatment failure was analyzed by logistic regression analysis. RESULTS Ninety episodes in 66 patients were recorded in our center. Hypertriglyceridemia occurred in 38% (34/90) of episodes. Twenty-five episodes were not cured in 90 episodes (27.8%, 25/90). The levels of thrombocytes, high-sensitivity C-reactive protein (hs-CRP), low-density lipoprotein cholesterol (LDL-C) and glycated hemoglobin, were higher in hypertriglyceridemia episodes of PDRP at baseline. The bacterial classification was different between elevated triglyceride group and normal triglyceride group. Adjusted for age, duration of dialysis, residual renal function, diabetes, thrombocytes, hs-CRP, serum albumin, cholesterol, HDL-C, LDL-C, intact parathyroid hormone (iPTH), glycated hemoglobin and spectrum of bacteria, hypertriglyceridemia were associated significantly with treatment failure of PDRP in our study (OR 3.416, 95% CI 1.223-9.540 p < 0.05). CONCLUSION Hypertriglyceridemia at baseline was an independent risk factor for treatment failure of PDRP.
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Affiliation(s)
- Ya-Juan Huang
- Department of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Zong-Pei Jiang
- Department of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Ja-Fan Zhou
- Department of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Xing Zhang
- Department of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Li-Ping Xiong
- Department of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Meng-Jun Liang
- Department of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Hong-Rui Shi
- Department of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Ning Su
- Department of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
| | - Rui Zhang
- Department of Nephrology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
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