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Arenas MD, Cazar R, Cordón A, Méndez A, Acuña M, Furaz K, Hernan D, Manso P, Dapena F, Rosiqué F, Martinez L, Andúgar L, Picasso ML, Santos-Ascarza JL, Hernández A, González-Parra E, Sanchez-Tocino ML. Is it possible to reach the catheter target proposed by the guidelines? Reasons for catheter use in prevalent hemodialysis patients. Nefrologia 2024; 44:700-708. [PMID: 39510894 DOI: 10.1016/j.nefroe.2024.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 12/21/2023] [Accepted: 12/26/2023] [Indexed: 11/15/2024] Open
Abstract
INTRODUCTION Despite the recommendations of the clinical guidelines, the percentage of central venous catheters (CVC) continues to be above the recommended standards. We do not know whether the increasing use of catheters is due to unavoidable or avoidable factors and, in the latter case, it would be in our power to modify these results. The aim of this study was to analyze the causes that condition the use of CVC in a prevalent hemodialysis (HD) population in order to identify those modifiable factors on which to act in order to achieve the objectives of the guidelines. METHODS Retrospective, descriptive and observational study in all prevalent patients on chronic hemodialysis belonging to 7 hemodialysis centers in Madrid, Castilla-León and Galicia in a cross-sectional study carried out in June 2021 (637 patients). The following were analyzed: age, sex, nationality, etiology of CKD, the vascular access with which they started hemodialysis, the number of previous failed arteriovenous fistulas (AVF), time since the start of HD, time since the placement of the CVC for the first time, the situation with respect to surgery and the causes of being a CVC carrier. In patients whose cause was refusal to undergo AVF, patients were asked about the cause of the refusal by directed questioning. RESULTS Of the 637 patients studied, 255 (40%) had a CVC, 346 had an AVF (54.3%) and 36 (5.7%) had a prosthesis. Of the 255 patients with CVC, 20.4% (52 p) were awaiting vascular access (AVF/prosthesis), 10.2% (26 p) had an AVF but could not be used and 69.4% (177 p) were not considered candidates for surgery (due to vascular surgery (16.9%; 43 pac), nephrology (16.5%, 42 pac) and patient refusal (36%; 92 pac). The most frequent cause for refusal of AVF was fear and patient preference. One of the most important factors associated with CVC use in prevalent patients was having started hemodialysis with a CVC. The greatest use of CVC at the start of HD was significantly associated with having more than one AVF performed, or starting HD urgently and not having been followed up and evaluated in the ACKD consultation. CONCLUSIONS There is a high percentage of patients with a central venous catheter due to modifiable causes, which makes it necessary to systematically evaluate the process of creating AVF in order to enhance the planning, creation and maintenance of vascular access from the ACKD clinic, and to achieve the objective of the guidelines.
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Affiliation(s)
| | - Ramiro Cazar
- Centros de la Fundación Renal Madrid, Madrid, Spain
| | | | - Angel Méndez
- Centros de la Fundación Renal Madrid, Madrid, Spain
| | | | - Karina Furaz
- Centros de la Fundación Renal Madrid, Madrid, Spain
| | - David Hernan
- Centros de la Fundación Renal Madrid, Madrid, Spain
| | - Paula Manso
- Centros de la Fundación Renal Madrid, Madrid, Spain
| | | | | | - Laura Martinez
- Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Leonor Andúgar
- Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
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Martínez Marín MI, Díaz Rodriguez C, Moro Mayor A, Arenas Jiménez MD. Public-private collaboration in the gestion of hemodialysis vascular access. Nefrologia 2023; 43 Suppl 2:116-117. [PMID: 38278720 DOI: 10.1016/j.nefroe.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 08/01/2022] [Indexed: 01/28/2024] Open
Affiliation(s)
| | - Cándido Díaz Rodriguez
- Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain
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Asmar J, Chelala D, El Hajj Chehade R, Azar H, Finianos S, Aoun M. Anemia biomarkers and mortality in hemodialysis patients with or without diabetes: A 10-year follow-up study. PLoS One 2023; 18:e0280871. [PMID: 36719878 PMCID: PMC9888689 DOI: 10.1371/journal.pone.0280871] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 01/10/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Many studies have assessed the association between anemia and mortality in hemodialysis but few compared patients with and without diabetes. Our study aims to investigate the impact of hemoglobin and iron parameters on mortality in hemodialysis patients with or without diabetes. METHODS This is a two-center retrospective study that included all adult patients who started hemodialysis between February 2012 and February 2020, followed until January 2021. Averages of hemoglobin, ferritin and transferrin saturation of entire follow-up were recorded. Kaplan Meier survival, log rank test and cox regression analyses were performed to assess the association between anemia biomarkers and mortality. RESULTS A total of 214 patients were included. Mean age was 67.98 ±12.41 years, mean hemoglobin was 10.92 ±0.75 g/dL, mean ferritin was 504.43 ± 221.42 ng/mL and mean transferrin saturation was 26.23 ±7.77%. Log rank test showed an association between hemoglobin ≥11 g/dL and better survival in patients without diabetes (P = 0.028). Based on cox regression analysis, hemoglobin was associated with all-cause mortality in all patients (HR = 0.66; CI:0.49,0.89; P = 0.007). When comparing patients with and without diabetes, this association remained significant only in patients without diabetes (HR = 0.53; CI:0.37,0.77; P<0.001). Based on different multivariate models, hemoglobin, ferritin and age were independent factors associated with mortality in patients without diabetes. CONCLUSIONS This study showed that hemoglobin ≥11 g/dL is associated with better survival in hemodialysis patients without diabetes but not in those with diabetes. These differences need to be further explored in other countries and settings. An individualization of the hemoglobin target level might be necessary to improve patients' outcomes.
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Affiliation(s)
- Jihane Asmar
- Department of Internal Medicine, Faculty of Medicine, Saint-Joseph University, Beirut, Lebanon
| | - Dania Chelala
- Department of Nephrology, Faculty of Medicine, Saint-Joseph University, Beirut, Lebanon
- Department of Nephrology, Hotel-Dieu de France Hospital, Beirut, Lebanon
| | - Razane El Hajj Chehade
- Department of Internal Medicine, Faculty of Medicine, Saint-Joseph University, Beirut, Lebanon
| | - Hiba Azar
- Department of Nephrology, Faculty of Medicine, Saint-Joseph University, Beirut, Lebanon
- Department of Nephrology, Hotel-Dieu de France Hospital, Beirut, Lebanon
| | - Serge Finianos
- Department of Nephrology, Faculty of Medicine, Saint-Joseph University, Beirut, Lebanon
- Department of Nephrology, Hotel-Dieu de France Hospital, Beirut, Lebanon
| | - Mabel Aoun
- Department of Nephrology, Faculty of Medicine, Saint-Joseph University, Beirut, Lebanon
- Department of Nephrology, Saint-George Hospital, Ajaltoun, Lebanon
- * E-mail:
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Acquier M, De Précigout V, Delmas Y, Dubois V, M'Zali F, Zabala A, De-La-Faille R, Rubin S, Cazanave C, Puges M, Combe C, Kaminski H. [Diagnosis and treatment of catheter-related bloodstream infection in hemodialysis: 10 years later]. Nephrol Ther 2022; 18:80-88. [PMID: 35033479 DOI: 10.1016/j.nephro.2021.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 08/10/2021] [Accepted: 08/19/2021] [Indexed: 10/19/2022]
Abstract
Patients in hemodialysis on central venous catheter as vascular access are at risk of infections. Catheter-related bloodstream infection is one of the most serious catheter-complications in hemodialysis patients. Its clinical and microbiological diagnosis is challenging. The implementation of empiric antibiotic therapy is based on old recommendations proposing the combination of a molecule targeting methicillin-resistant Staphylococcus aureus and a betalactamin active on P. aeruginosa, and also adapting this probabilistic treatment by carrying out a microbiological register on a local scale, which is rarely done. In our hemodialysis center at Bordeaux University Hospital, an analysis of the microorganisms causing all catheter-related bloodstream infection over the period 2018-2020 enabled us to propose, in agreement with the infectious disease specialists, an adapted probabilistic antibiotic therapy protocol. This approach allowed us to observe a low incidence of meticillinoresistance of Staphylococcus. For catheters inserted more than 6 months ago, we observed no Staphylococcus, no multi-resistant Pseudomonas, and only 2% of Enterobacteria resistant to cephalosporins. A frequent updating of the microbiological epidemiology of catheter-related bloodstream infection, in partnership with the infectious diseases team in each hemodialysis center, allowing an adaptation of the probabilistic antibiotic therapy, and seems to have a good feasibility. This strategy might favor the preservation of microbial ecology on an individual and collective scale in maintenance hemodialysis patients.
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Affiliation(s)
- Mathieu Acquier
- Service de néphrologie-transplantation-dialyse-aphérèses, hôpital Pellegrin, CHU de Bordeaux, place Amélie-Raba-Léon, 33000 Bordeaux, France
| | - Valérie De Précigout
- Service de néphrologie-transplantation-dialyse-aphérèses, hôpital Pellegrin, CHU de Bordeaux, place Amélie-Raba-Léon, 33000 Bordeaux, France
| | - Yahsou Delmas
- Service de néphrologie-transplantation-dialyse-aphérèses, hôpital Pellegrin, CHU de Bordeaux, place Amélie-Raba-Léon, 33000 Bordeaux, France
| | - Véronique Dubois
- Laboratoire de bactériologie, hôpital Pellegrin, CHU de Bordeaux, place Amélie-Raba-Léon, 33000 Bordeaux, France
| | - Fatima M'Zali
- UMR 5234 CNRS, université de Bordeaux, 33000 Bordeaux, France
| | - Arnaud Zabala
- UMR 5234 CNRS, université de Bordeaux, 33000 Bordeaux, France
| | - Renaud De-La-Faille
- Service de néphrologie-transplantation-dialyse-aphérèses, hôpital Pellegrin, CHU de Bordeaux, place Amélie-Raba-Léon, 33000 Bordeaux, France
| | - Sébastien Rubin
- Service de néphrologie-transplantation-dialyse-aphérèses, hôpital Pellegrin, CHU de Bordeaux, place Amélie-Raba-Léon, 33000 Bordeaux, France
| | - Charles Cazanave
- Service de maladies infectieuses et tropicales, hôpital Pellegrin, CHU de Bordeaux, place Amélie Raba-Léon, 33000 Bordeaux, France
| | - Mathilde Puges
- Service de maladies infectieuses et tropicales, hôpital Pellegrin, CHU de Bordeaux, place Amélie Raba-Léon, 33000 Bordeaux, France
| | - Christian Combe
- Service de néphrologie-transplantation-dialyse-aphérèses, hôpital Pellegrin, CHU de Bordeaux, place Amélie-Raba-Léon, 33000 Bordeaux, France; Unité Inserm 1026 Biotis, université de Bordeaux, 33000 Bordeaux, France
| | - Hannah Kaminski
- Service de néphrologie-transplantation-dialyse-aphérèses, hôpital Pellegrin, CHU de Bordeaux, place Amélie-Raba-Léon, 33000 Bordeaux, France; CNRS-UMR 5164 ImmunoConcEpT, université de Bordeaux, 33076 Bordeaux, France.
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Hu J, Liu Y, Heidari AA, Bano Y, Ibrohimov A, Liang G, Chen H, Chen X, Zaguia A, Turabieh H. An effective model for predicting serum albumin level in hemodialysis patients. Comput Biol Med 2022; 140:105054. [PMID: 34847387 DOI: 10.1016/j.compbiomed.2021.105054] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 11/13/2021] [Accepted: 11/16/2021] [Indexed: 12/31/2022]
Abstract
Patients on hemodialysis (HD) are known to be at an increased risk of mortality. Hypoalbuminemia is one of the most important risk factors of death in HD patients, and is an independent risk factor for all-cause mortality that is associated with cardiac death, infection, and Protein-Energy Wasting (PEW). It is a clinical challenge to elevate serum albumin level. In addition, predicting trends in serum albumin level is effective for personalized treatment of hypoalbuminemia. In this study, we analyzed a total of 3069 records collected from 314 HD patients using a machine learning method that is based on an improved binary mutant quantum grey wolf optimizer (MQGWO) combined with Fuzzy K-Nearest Neighbor (FKNN). The performance of the proposed MQGWO method was evaluated using a series of experiments including global optimization experiments, feature selection experiments on open data sets, and prediction experiments on an HD dataset. The experimental results showed that the most critical relevant indicators such as age, presence or absence of diabetes, dialysis vintage, and baseline albumin can be identified by feature selection. Remarkably, the accuracy and the specificity of the method were 98.39% and 96.77%, respectively, demonstrating that this model has great potential to be used for detecting serum albumin level trends in HD patients.
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Affiliation(s)
- Jiao Hu
- Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China.
| | - Yi Liu
- Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, China.
| | - Ali Asghar Heidari
- Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China.
| | - Yasmeen Bano
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, China.
| | - Alisherjon Ibrohimov
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, China.
| | - Guoxi Liang
- Department of Information Technology, Wenzhou Polytechnic, Wenzhou, 325035, China.
| | - Huiling Chen
- Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China.
| | - Xumin Chen
- Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, China.
| | - Atef Zaguia
- Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. BOX 11099, Taif, 21944, Saudi Arabia.
| | - Hamza Turabieh
- Department of Information Technology, College of Computers and Information Technology, P.O. Box 11099, Taif, 21944, Taif, Saudi Arabia.
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