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Ratio of Extracellular to Intracellular Water is Associated with Permanent Catheter Patency Survival in Patients Receiving Maintenance Hemodialysis
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19 June 2023
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20 June 2023
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Abstract
Patients undergoing dialysis through a permanent catheter often experience infection or malfunction. However, few studies have clarified the predictors of permanent catheter patency survival in patients undergoing hemodialysis. We assessed the relationship between parameters of body composition monitoring (BCM) determined before the initiation of dialysis and the patency survival of the permanent catheters inserted in 179 patients who commenced hemodialysis between January 14, 2020 and August 31, 2021. The relationships between permanent catheter patency at 6 weeks and BCM parameters, laboratory tests, age, sex, comorbidities, and medications at baseline were studied using Kaplan–Meier survival curves. Permanent catheter patency was observed to be superior at high extracellular-to-intracellular (ECW/ICW) ratio (P<0.005). After adjustment for covariates, the ECW/ICW ratio remained an independent factor associated with permanent catheter patency survival. When patients with non-patent catheters were subdivided into infection and malfunction groups, and the associations of BCM parameters were evaluated in those groups, the ECW/ICW ratio was not significantly associated with permanent catheter patency survival in the infection group (P = 0.327); instead, a significant association was found for the lean tissue index (P<0.001). In the malfunction group, the ECW/ICW ratio remained significantly associated with permanent catheter patency survival (P < 0.001).
Keywords:
Subject: Medicine and Pharmacology - Urology and Nephrology
1. Introduction
Parameters of body composition monitoring (BCM) include information such as volume status, lean tissue mass, fat mass (FAT), and dry weight. [1] The BCM parameters relating to fluid management for patients receiving hemodialysis (HD) have been extensively examined in both observational and experimental studies. [2,3] Although the best vascular access for HD treatment is an arteriovenous fistula, patients commencing dialysis often require the insertion of a permanent catheter into the internal jugular vein when a vascular access has not yet been prepared. [4,5] However, the use of a permanent catheter during HD carries a higher complication rate than do other options for vascular access such as arteriovenous fistulae and synthetic vascular grafts. [6] During use of a permanent catheter for dialysis initiation and maintenance, patients often experience malfunction and infection of the catheter. [7,8] Several previous studies have examined the extracellular-to-total body water (ECW/TBW) and extracellular-to-intracellular water (ECW/ICW) ratios in patients receiving maintenance HD. [9,10,11,12,13,14] However, fewer studies have investigated the association of permanent catheter patency survival with those parameters. We therefore designed a study to investigate the association between the BCM parameters measured at the initiation of HD and the occurrence of catheter malfunction and infection. Our aim was to gain information about safety and complication prevention in patients receiving HD through a permanent catheter.
2. Material and method
2.1. Study design and participants
We retrospectively reviewed the records of 179 patients who had commenced dialysis with a permanent catheter between January 14, 2020 and August 31, 2021, at Chungnam National University Hospital (Figure 1). Patients were eligible for enrollment if they were between the ages of 19 and 95 years, and if they had undergone blood sampling and BCM before the start of renal replacement therapy. Of the 179 patients reviewed, 55 were excluded because they either were lost to follow-up (n = 25), had been studied for other purposes (hematopoietic stem cell transplantation, n = 4), or lacked sufficient data for analysis (n = 26). Of the 124 eligible patients, 93 who had used their permanent catheter continuously for six weeks without abnormalities were designated the patent group. The remaining 31 patients who had experienced problems using the permanent catheter during the first six weeks were designated the non-patent group. In the latter group, patients with a confirmed catheter infection were designated the infection group (n = 16), and patients whose HD could not be regularly performed using the catheter were designated the malfunction group (n = 15).
Information about the study cohort collected from medical records included age, sex, type of dialysis catheter, duration of renal replacement therapy through the dialysis catheter (days), underlying disease (hypertension, diabetes mellitus, cardiovascular disease, cerebral infarction, liver cirrhosis), cause of end-stage renal disease, medication history (aspirin, clopidogrel, warfarin, cilostazol, non–vitamin K antagonist oral anticoagulants, statins), operation date, catheter follow-up management, reason for catheter removal, catheter removal date, catheter usage period, BCM parameters [ECW, ICW, TBW, ECW/ICW ratio, lean tissue index (LTI), fat tissue index (FTI), lean tissue mass, adipose tissue mass, FAT, dry weight], laboratory tests (hemoglobin, platelets, C-reactive protein, ferritin, parathyroid hormone, total protein, serum albumin, blood urea nitrogen, creatinine, total calcium, phosphate, sodium, potassium), pre-HD weight, post-HD weight, dialysis duration, and ultrafiltration. A BCM device (Fresenius Medical Care, Bad Homburg, Germany) was used to evaluate body composition parameters before dialysis on the day of dialysis.
This study was conducted in accordance with the 1964 Declaration of Helsinki and its later amendments. Medical records were retrieved anonymously in accordance with data protection rules after approval had been obtained from the hospital’s ethics committee. The institutional review board of Chungnam National University Hospital approved the study (no. 2022-12-074).
2.2. Definitions
2.2.1. Infection of permanent catheter
An infection of the permanent catheter was accepted when
- -
- redness, tenderness, warmth, or pus was observed at the catheter exit site, and infection was simultaneously suspected from laboratory tests.
- -
- no infection was evident before catheter insertion, but symptoms of infection such as fever began within five days after insertion, infection was confirmed on blood culture, and no prominent infection in other organs was evident.
2.2.2. Malfunction of permanent catheter
A malfunction of the permanent catheter was accepted when
- -
- an extracorporeal blood flow sufficient to perform HD (<300 mL/min) could not be attained or maintained.
- -
- catheter dysfunction unrelated to catheter tip malposition or mechanical kinking of the catheter occurred.
2.3. Statistical analysis
The IBM SPSS Statistics software application (version 26: IBM, Armonk, NY, USA) was used for the analyses, and P < 0.05 was considered to be statistically significant.
An independent t-test was used to determine whether each BCM parameter had a significant association with permanent catheter patency survival in each group. A subsequent analysis of the area under the receiver operating characteristic curve (AUC-ROC) was used to determine the best cut-off values for the parameters that were significant in the independent t-tests. The cut-off values thus obtained in the non-patent group were used to define subgroups below and above the cut-off values. Continuous use of the permanent catheter during the initial six-week usage period was then plotted using Kaplan–Meier curves to assess the differences between the groups.
Multivariate Cox regression adjusted for age and sex was performed to verify whether the cut-off values of significant parameters in the non-patent group were also significant in the infection and malfunction subgroups. Adjusted hazard ratios and 95% confidence intervals were calculated.
3. Results
Table 1 summarizes participant characteristics at baseline. The study population included 68 men (54.8%; median age: 72 years) and 56 women (45.2%; median age: 72 years), with the patent group consisting of 93 patients, and the non-patent group consisting of 31 patients. The median age in the patent and non-patent groups was 69 years and 75 years respectively. Both groups had high rates of diabetes mellitus and hypertension as comorbidities.
The independent samples t-tests performed to determine whether the patent and non-patent groups differed significantly in BCM parameters and predialysis blood tests found significant differences in ICW, TBW, ECW/ICW ratio, LTI, FTI, lean tissue mass, FAT, and BCM (P < 0.05) and in predialysis serum C-reactive protein, albumin, and creatinine (P < 0.05). Supplementary Table 2(a,b) presents the baseline characteristics of the infection and malfunction subgroups within the non-patent group.
ROC curves were then calculated to confirm the types of associations the ECW/ICW ratio, LTI, and FTI had between the groups [Supplementary Figure 1(a–c)]. Based on the cut-off values obtained from the ROC curves, Kaplan–Meier survival curves were plotted for six-week permanent catheter patency survival in the participants below and above the cut-off value [Figure 2(a–c)]. In the case of the ECW/ICW ratio, the AUC was determined to be 0.701, and after the cut-off value of 1.20 obtained from the ROC-AUC analysis was used to allocate participants to a “below” or “above” group [Supplementary Figure 1(a)], the Kaplan–Meier curves were significantly different [log-rank P < 0.005, Figure 2(a)], demonstrating that the patency of the permanent catheter was reduced in the group with a high ECW/ICW ratio. The AUC for LTI was 0.723, and when the cut-off value of 11.12 obtained from the ROC-AUC analysis was used to create Kaplan–Meier curves for the “below” and “above” groups [Supplementary Figure 1(b)], the difference was significant [log-rank P = 0.006, Figure 2(b)], showing that permanent catheter patency survival was reduced in the group with the low LTI. The AUC for FTI was 0.625, and when the cut-off value of 11.12 obtained from the ROC-AUC analysis was used to create Kaplan–Meier curves for the “below” and “above” groups [Supplementary Figure 1(c)], the difference was nonsignificant [log-rank P = 0.135, Figure 2(c)].
A univariate Cox proportional hazards analysis showed that age, ICW, ECW/ICW ratio, LTI, FTI, lean tissue mass, FAT, and body cell mass were all significantly associated with the patency of the permanent catheter (Supplementary Table 1). On multivariate Cox regression analyses, when other variables (age, sex, LTI, FTI) were added in stages, the hazard ratio for the association between the ECW/ICW ratio and permanent catheter patency remained highly significant (Table 2).
When independent samples t-tests were performed to compare BCM parameters in the patent group and the infection subgroup, ICW, LTI, FTI, FAT, and body cell mass were observed to be significantly different, and when independent samples t-tests were performed to compare BCM parameters in the patent group and the malfunction subgroup, ICW, ECW/ICW ratio, LTI, and body cell mass were observed to be significant [Supplementary Table 2(a,b)]. Distribution tables for the significant parameters ECW/ICW ratio, LTI, and FTI were then expressed as dot plots to examine the degree of distribution (Figure 3).
The independent samples t-test comparing the ECW/ICW ratio in the patent group and the infection subgroup resulted in a P value of 0.056, which was nonsignificant, but the comparison between the patent group and the malfunction subgroup resulted in a P value of 0.003, which was significant [Figure 3(a,d)]. Similar comparisons of LTI in the patent group and the non-patent subgroups resulted in P values of 0.003 and 0.010 respectively [both statistically significant, but stronger in the infection subgroup, Figure 3(b,e)]. Similar comparisons of FTI resulted in P values of 0.033 and 0.368 respectively [significant in the infection subgroup, but nonsignificant in the malfunction subgroup, and weak compared with the other parameters; Figure 3(c,f)].
Based on the cut-off values for the foregoing three parameters, six-week Kaplan–Meier survival curves were then plotted for the “below” and “above” groups in the two non-patent subgroups and compared with those for the non-patent group (Figure 4 and Figure 5).
Of the three parameters, LTI ≥ 10.2 was remained significant at a P value of 0.001 and ECW/ICW ratio <1.2 lost statistical significance at a P value of 0.327 in the infection subgroup [Figure 4(a,b)]. At a P value of 0.087, FTI was nonsignificant in the infection subgroup just as it had been in the non-patent group [Figure 4(c)].
The Kaplan–Meier curve pattern was different in the malfunction subgroup than in the infection subgroup. LTI and FTI lost their significance, and the ECW/ICW ratio became significant at a log-rank P value of 0.001.
A Kaplan–Meier survival curve was also plotted using the Controlling Nutritional Status score (cut-off value: 3 points) to analyze permanent catheter patency survival based on nutrition status. The log-rank P values obtained for the non-patent group, the infection subgroup, and the malfunction subgroup were 0.380, 0.486, and 0.135 respectively. No significant correlation between nutrition status and the patency survival of the permanent catheter was observed (Supplementary Figure 2).
4. Discussion
Problems with permanent catheter patency are often caused by infection and Malfunction. [15,16,17] Protein–energy expenditure, inflammation, and fluid overload are well-known independent predictors of death in dialysis patients. [18,19] Wizemann et al. found that baseline overhydration in HD patients with an OH level above 2.5 L (OH:ECW ratio >15%) is also associated with a significantly increased risk of mortality. [20] Furthermore, Zhou et al. found that the ECW/ICW ratio is associated with increased sarcopenia risk independent of body mass index, pre-albumin, C-reactive protein, and other potential confounders in patients on maintenance HD. [11] However, few studies have attempted to clarify the predictors of permanent catheter patency survival in patients undergoing HD. Results from the present study demonstrate that the ECW/ICW ratio is a marker for the patency survival of a permanent catheter. The parameters ECW/ICW ratio <1.2 and LTI ≥ 10.2 could be useful in predicting whether infection or malfunction might affect permanent catheter patency before it becomes a problem. Ohashi et al. and Dekker et al. found that the balance between the ICW and ECW volumes is significantly associated with age. The ECW/ICW ratio is thus understood to be primarily driven by decreasing cell volume—and particularly its steepening trend after the age of 70 years. The balance between ICW and ECW might therefore change when the hydration component gradually decreases with muscle attenuation. [21,22] In the present study, the multivariate Cox proportional hazards analyses revealed that not only the ECW/ICW ratio, but also age was statistically significant, which again demonstrates that the ECW/ICW ratio is correlated with age.
Application of the ECW/ICW ratio has attracted much attention in the past in diseases other than chronic renal disease. An increased ECW/ICW ratio is reported to be associated with the level of albuminuria in patients with type 2 diabetes mellitus [14] and with greater functional disability in patients with knee osteoarthritis. [13] Furthermore, the ECW/ICW ratio is a major risk indicator for all-cause mortality and cardiovascular disease in patients receiving HD or peritoneal dialysis. [23,24] In the present work, we demonstrated that the ECW/ICW ratio is powerfully associated with the patency survival of permanent catheters for HD. A high ECW/ICW ratio signals a decrease in ICW and a relative increase in ECW. There is speculation that fluid moves to the extravascular space as a result, narrowing the intravascular space and causing frequent contact between the permanent catheter and the vessel wall. The trauma caused by this contact, with its increased inflammation, activation of leukocytes, and release of myeloperoxidase, activates the coagulation cascade, which is thought to trigger catheter malfunction. [25,26] In our infection group, permanent catheter patency survival declined in the group having a LTI below our estimated cut-off value. Lower LTI presents as less protein storage and a low energy reserve, both of which are necessary for metabolic processes, [27] possibly making patients more vulnerable to infection. When the permanent catheter becomes infected, inflammatory cells colonize the catheter and might play a role in venous thrombosis [28]. Initiation of the coagulation and inflammatory response cascade activates leukocytes, which release myeloperoxidase to form platelet aggregates. A soft clot could then form on or inside the catheter tip, causing dysfunction. [26]
We should acknowledge that our study has several limitations. First, it is a single-center retrospective review that relies on available patient information and a study population that was not confirmed to be healthy. Generalization of our results to another population undergoing evaluation might therefore not be valid. Second, we did not evaluate racial or ethnic differences between the participants because only South Korean individuals were included in the study. Third, we could not evaluate the permanent catheter patency survival based on the association between sarcopenia and the ECW/ICW ratio. Because of the retrospective nature of the study and the fact that the participants were chiefly patients who required a permanent catheter because of their need for immediate dialysis, a work-up for sarcopenia was, regrettably, impossible. If additional studies into differences in permanent catheter patency survival according to BCM parameters are conducted in the future, determining any correlations with sarcopenia and racial differences will be of great help in the management of patients undergoing maintenance HD.
5. Conclusions
BCM parameters obtained before dialysis start are expected to play an important role in predicting the prognosis for permanent catheter patency survival. Specifically, identifying and managing the patient population with a high ECW/ICW ratio and a low LTI is expected to be of great help in the future treatment of patients receiving maintenance HD. Additional long-term prospective studies in other cohorts are needed to confirm the usefulness of the ECW/ICW ratio and LTI parameter proposed in the present study as important predictors of permanent catheter patency survival.
Authors Contributions
Conceptualization, writing – original draft, M.J.K.; supervision, D.E.C., K.R.N., K.W.L.; writing-review & editing, D.E.C., K.R.N.; investigation, D.E.C., K.R.N.; Funding acquisition, M.J.K.; validation, Y.R.H., E.J.L., S.Hl.; data curation & formal analysis, H.P., Y.H., H.P.
Fundings
This research was also supported by the research fund of Chungnam National University (to K.-R.N.).
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of Chungnam National University Hospital (IRB No. CNUH 2022-12-074, and date of approval 6 March 2023).
Informed Consent Statement
Not applicable
Conflicts of Interest
The authors declare no conflict of interest.
References
- Broers, N.J.; Martens, R.J.; Cornelis, T.; Diederen, N.M.; Wabel, P.; van der Sande, F.M.; Leunissen, K.M.; Kooman, J.P. Body composition in dialysis patients: a functional assessment of bioimpedance using different prediction models. J Ren Nutr 2015, 25, 121-128. [CrossRef]
- Chen, H.S.; Lee, K.C.; Cheng, C.T.; Hou, C.C.; Liou, H.H.; Lin, C.J.; Lim, P.S. Application of Bioimpedance Spectroscopy in Asian Dialysis Patients (ABISAD): serial follow-up and dry weight evaluation. Clin Kidney J 2013, 6, 29-34. [CrossRef]
- Mamat, R.; Kong, N.C.; Ba'in, A.; Shah, S.A.; Cader, R.; Wong, V.; Mohd, R.; Abdul Gafor, A.H.; Ismail, R. Assessment of body fluid status in hemodialysis patients using the body composition monitor measurement technique. J Clin Nurs 2012, 21, 2879-2885. [CrossRef]
- Docktor, B.L.; Sadler, D.J.; Gray, R.R.; Saliken, J.C.; So, C.B. Radiologic placement of tunneled central catheters: rates of success and of immediate complications in a large series. AJR Am J Roentgenol 1999, 173, 457-460. [CrossRef]
- Delistefani, F.; Wallbach, M.; Muller, G.A.; Koziolek, M.J.; Grupp, C. Risk factors for catheter-related infections in patients receiving permanent dialysis catheter. BMC Nephrol 2019, 20, 199. [CrossRef]
- Thomson, P.; Stirling, C.; Traynor, J.; Morris, S.; Mactier, R. A prospective observational study of catheter-related bacteraemia and thrombosis in a haemodialysis cohort: univariate and multivariate analyses of risk association. Nephrol Dial Transplant 2010, 25, 1596-1604. [CrossRef]
- Miller, L.M.; Clark, E.; Dipchand, C.; Hiremath, S.; Kappel, J.; Kiaii, M.; Lok, C.; Luscombe, R.; Moist, L.; Oliver, M.; et al. Hemodialysis Tunneled Catheter-Related Infections. Can J Kidney Health Dis 2016, 3, 2054358116669129. [CrossRef]
- Miller, L.M.; MacRae, J.M.; Kiaii, M.; Clark, E.; Dipchand, C.; Kappel, J.; Lok, C.; Luscombe, R.; Moist, L.; Oliver, M.; et al. Hemodialysis Tunneled Catheter Noninfectious Complications. Can J Kidney Health Dis 2016, 3, 2054358116669130. [CrossRef]
- Perez-Morales, R.; Donate-Correa, J.; Martin-Nunez, E.; Perez-Delgado, N.; Ferri, C.; Lopez-Montes, A.; Jimenez-Sosa, A.; Navarro-Gonzalez, J.F. Extracellular water/total body water ratio as predictor of mortality in hemodialysis patients. Ren Fail 2021, 43, 821-829. [CrossRef]
- Nakayama, Y.; Yamada, Y.; Ishii, S.; Hitaka, M.; Yamazaki, K.; Masai, M.; Joki, N.; Sakai, K.; Ohashi, Y. Association between Intra- and Extra-Cellular Water Ratio Imbalance and Natriuretic Peptides in Patients Undergoing Hemodialysis. Nutrients 2023, 15. [CrossRef]
- Zhou, C.; Lin, X.; Ma, G.; Yuan, J.; Zha, Y. Increased Predialysis Extracellular to Intracellular Water Ratio Is Associated With Sarcopenia in Hemodialysis Patients. J Ren Nutr 2023, 33, 157-164. [CrossRef]
- Gracia-Iguacel, C.; Gonzalez-Parra, E.; Mahillo, I.; Ortiz, A. Low Intracellular Water, Overhydration, and Mortality in Hemodialysis Patients. J Clin Med 2020, 9. [CrossRef]
- Taniguchi, M.; Ikezoe, T.; Kamitani, T.; Tsuboyama, T.; Ito, H.; Matsuda, S.; Tabara, Y.; Matsuda, F.; Ichihashi, N.; Nagahama Study, G. Extracellular-to-intracellular water ratios are associated with functional disability levels in patients with knee osteoarthritis: results from the Nagahama Study. Clin Rheumatol 2021, 40, 2889-2896. [CrossRef]
- Nakajima, H.; Hashimoto, Y.; Kaji, A.; Sakai, R.; Takahashi, F.; Yoshimura, Y.; Bamba, R.; Okamura, T.; Kitagawa, N.; Majima, S.; et al. Impact of extracellular-to-intracellular fluid volume ratio on albuminuria in patients with type 2 diabetes: A cross-sectional and longitudinal cohort study. J Diabetes Investig 2021, 12, 1202-1211. [CrossRef]
- Ishani, A.; Collins, A.J.; Herzog, C.A.; Foley, R.N. Septicemia, access and cardiovascular disease in dialysis patients: the USRDS Wave 2 study. Kidney Int 2005, 68, 311-318. [CrossRef]
- Beathard, G.A. Catheter thrombosis. Semin Dial 2001, 14, 441-445. [CrossRef]
- Little, M.A.; O'Riordan, A.; Lucey, B.; Farrell, M.; Lee, M.; Conlon, P.J.; Walshe, J.J. A prospective study of complications associated with cuffed, tunnelled haemodialysis catheters. Nephrol Dial Transplant 2001, 16, 2194-2200. [CrossRef]
- Kang, S.S.; Chang, J.W.; Park, Y. Nutritional Status Predicts 10-Year Mortality in Patients with End-Stage Renal Disease on Hemodialysis. Nutrients 2017, 9. [CrossRef]
- Alves, F.C.; Sun, J.; Qureshi, A.R.; Dai, L.; Snaedal, S.; Barany, P.; Heimburger, O.; Lindholm, B.; Stenvinkel, P. The higher mortality associated with low serum albumin is dependent on systemic inflammation in end-stage kidney disease. PLoS One 2018, 13, e0190410. [CrossRef]
- Wizemann, V.; Wabel, P.; Chamney, P.; Zaluska, W.; Moissl, U.; Rode, C.; Malecka-Masalska, T.; Marcelli, D. The mortality risk of overhydration in haemodialysis patients. Nephrol Dial Transplant 2009, 24, 1574-1579. [CrossRef]
- Ohashi, Y.; Joki, N.; Yamazaki, K.; Kawamura, T.; Tai, R.; Oguchi, H.; Yuasa, R.; Sakai, K. Changes in the fluid volume balance between intra- and extracellular water in a sample of Japanese adults aged 15-88 yr old: a cross-sectional study. Am J Physiol Renal Physiol 2018, 314, F614-F622. [CrossRef]
- Dekker, M.J.E.; Konings, C.; Canaud, B.; van der Sande, F.M.; Stuard, S.; Raimann, J.G.; Ozturk, E.; Usvyat, L.; Kotanko, P.; Kooman, J.P. Interactions Between Malnutrition, Inflammation, and Fluid Overload and Their Associations With Survival in Prevalent Hemodialysis Patients. J Renal Nutr 2018, 28, 435-444. [CrossRef]
- Kim, E.J.; Choi, M.J.; Lee, J.H.; Oh, J.E.; Seo, J.W.; Lee, Y.K.; Yoon, J.W.; Kim, H.J.; Noh, J.W.; Koo, J.R. Extracellular Fluid/Intracellular Fluid Volume Ratio as a Novel Risk Indicator for All-Cause Mortality and Cardiovascular Disease in Hemodialysis Patients. PLoS One 2017, 12, e0170272. [CrossRef]
- Chen, W.; Guo, L.J.; Wang, T. Extracellular water/intracellular water is a strong predictor of patient survival in incident peritoneal dialysis patients. Blood Purif 2007, 25, 260-266. [CrossRef]
- Chan, M.R. Hemodialysis Central Venous Catheter Dysfunction. Semin Dialysis 2008, 21, 516-521. [CrossRef]
- Forauer, A.R.; Theoharis, C. Histologic changes in the human vein wall adjacent to indwelling central venous catheters. J Vasc Interv Radiol 2003, 14, 1163-1168. [CrossRef]
- Rymarz, A.; Gibinska, J.; Zajbt, M.; Piechota, W.; Niemczyk, S. Low lean tissue mass can be a predictor of one-year survival in hemodialysis patients. Ren Fail 2018, 40, 231-237. [CrossRef]
- Wang, L.; Jia, L.; Jiang, A. Pathology of catheter-related complications: what we need to know and what should be discovered. J Int Med Res 2022, 50, 3000605221127890. [CrossRef]
Figure 1.
Study design. HSCT: hematopoietic stem cell transplantation.
Figure 2.
Kaplan–Meier survival curves showing the six-week permanent catheter survival for patients in the patent and non-patent groups using the cut-off values obtained for significant body composition monitoring parameters by receiver operating characteristic curve analysis. (A) 2a) ECW/ICW ratio (n = 124) log-rank χ 2 = 7.797 p = 0.005, (B) LTI (n = 124) log-rank χ 2 = 7.425 p = 0.006 (C) FTI (n = 124) log-rank χ 2 = 2.233 p = 0.135. ECW: extracellular water; ICW: intracellular water; LTI: lean tissue index; FTI: fat tissue index.
Figure 2.
Kaplan–Meier survival curves showing the six-week permanent catheter survival for patients in the patent and non-patent groups using the cut-off values obtained for significant body composition monitoring parameters by receiver operating characteristic curve analysis. (A) 2a) ECW/ICW ratio (n = 124) log-rank χ 2 = 7.797 p = 0.005, (B) LTI (n = 124) log-rank χ 2 = 7.425 p = 0.006 (C) FTI (n = 124) log-rank χ 2 = 2.233 p = 0.135. ECW: extracellular water; ICW: intracellular water; LTI: lean tissue index; FTI: fat tissue index.
Figure 3.
Dot plots based on the independent samples t-test results for body composition monitoring parameters between selected study groups. ECW: extracellular water; ICW: intracellular water; LTI: lean tissue index; FTI: fat tissue index.
Figure 3.
Dot plots based on the independent samples t-test results for body composition monitoring parameters between selected study groups. ECW: extracellular water; ICW: intracellular water; LTI: lean tissue index; FTI: fat tissue index.
Figure 4.
Six-week Kaplan-Meier survival curve for patients of patent and infection subgroup using the cut-off values for various body composition monitoring parameters obtained by ROC analysis in non-patent group. ECW: extracellular water; ICW: intracellular water; LTI: lean tissue index; FTI: fat tissue index.
Figure 4.
Six-week Kaplan-Meier survival curve for patients of patent and infection subgroup using the cut-off values for various body composition monitoring parameters obtained by ROC analysis in non-patent group. ECW: extracellular water; ICW: intracellular water; LTI: lean tissue index; FTI: fat tissue index.
Figure 5.
Six-week Kaplan-Meier survival curve for patients of patent and malfunction subgroup using the cut-off values for various body composition monitoring parameters obtained by ROC analysis in non-patent group. ECW: extracellular water; ICW: intracellular water; LTI: lean tissue index; FTI: fat tissue index.
Figure 5.
Six-week Kaplan-Meier survival curve for patients of patent and malfunction subgroup using the cut-off values for various body composition monitoring parameters obtained by ROC analysis in non-patent group. ECW: extracellular water; ICW: intracellular water; LTI: lean tissue index; FTI: fat tissue index.
Table 1.
Baseline characteristics of the study participants, by catheter patency.
| Characteristic | Overall (N = 124) |
Catheter group |
P Value |
|
| Patent (N = 93) |
Non-patent (N = 31) |
|||
| Age (median [range] years) | 72.0 [26–93] | 69.0 [26–93] | 75.0 [50–92] | 0.003 |
| Sex [n (%)] | ||||
| Men | 68 (54.8) | 54 (58.1) | 14 (45.2) | 0.214 |
| Women | 56 (45.2) | 39 (41.9) | 17 (54.8) | |
| Comorbidities [n (%)] | ||||
| Diabetes mellitus | 89 (71.8) | 69 (74.2) | 20 (64.5) | 0.304 |
| Hypertension | 96 (77.4) | 68 (73.1) | 28 (90.3) | 0.048 |
| Heart failure | 41 (33.1) | 31 (33.3) | 10 (32.3) | 0.913 |
| Ischemic heart disease | 34 (27.4) | 28 (30.1) | 6 (19.4) | 0.249 |
| Atrial fibrillation | 24 (19.4) | 15 (16.1) | 9 (29.0) | 0.117 |
| Cerebral infarction | 19 (15.3) | 10 (10.8) | 9 (29.0) | 0.014 |
| Liver cirrhosis | 6 (4.8) | 1 (1.1) | 5 (16.1) | 0.001 |
| Medication [n (%)] | ||||
| Aspirin | 29 (23.4) | 20 (21.5) | 9 (29.0) | 0.395 |
| Clopidogrel | 33 (26.6) | 24 (25.8) | 9 (29.0) | 0.727 |
| Warfarin | 6 (4.8) | 3 (3.2) | 3 (9.7) | 0.150 |
| Cilostazol | 7 (5.6) | 5 (5.4) | 2 (6.5) | 0.824 |
| NOAC | 8 (6.5) | 6 (6.5) | 2 (6.5) | 1.000 |
| Statin | 61 (49.2) | 46 (49.5) | 15 (48.4) | 0.918 |
| Laboratory data (median [range]) | ||||
| Hemoglobin (g/dL) | 9.6 [4.8–14.4] | 9.5 [4.8–16.1] | 9.9 [6.1–13.0] | 0.158 |
| Total lymphocyte count (103/µL) | 1160.0 [240–11390] | 1270.0 [240–11390] | 1000.0 [340–3220] | 0.254 |
| Platelet (000s) | 189.0 [12–820] | 191.0 [12–820] | 167.0 [20–329] | 0.221 |
| CRP (mg/dL) | 1.8 [0.1–40] | 1.1 [0.1–40] | 6.7 [0.1–40] | 0.003 |
| Total protein (g/dL) | 6.1 [4.1–8.4] | 6.1 [3.2–8.4] | 5.9 [4.1–7.9] | 0.383 |
| Albumin (g/dL) | 3.0 [1.6–4.4] | 3.0 [1.5–4.4] | 2.8 [1.6–3.8] | 0.009 |
| BUN (mg/dL) | 54.3 [11.9–177.8] | 53.0 [13.9–184] | 54.9 [11.9–143.4] | 0.944 |
| Creatinine (mg/dL) | 4.8 [0.7–31.4] | 5.1 [0.7–32.9] | 4.3 [0.9–11.7] | 0.021 |
| Total cholesterol (mg/dL) | 127.0 [45–494] | 126.0 [45–494] | 135.0 [52–290] | 0.835 |
| Total calcium (mg/dL) | 7.7 [5.0–10.5] | 7.7 [5.0–10.4] | 7.7 [5.3–10.5] | 0.330 |
| Phosphorus (mg/dL) | 4.2 [1.5 –12.6] | 4.1 [1.5–12.6] | 4.2 [1.7–9.9] | 0.606 |
| Sodium (mEq/L) | 136.5 [122–153.6] | 136.6 [122–153] | 136.4 [124–153.6] | 0.471 |
| Potassium (mEq/L) | 4.3 [2.8–7.8] | 4.3 [2.8–7.8] | 4.3 [2.8–6.2] | 0.976 |
| BMI (kg/m2) | 23.5 [15.1–41.9] | 23.4 [15.1–41.9] | 25.0 [16.0–39.2] | 0.339 |
| Body composition (median [range]) | ||||
| ECW (L) | 16.2 [8.4–32.5] | 17.4 [8.4–32.5] | 12.2 [10.3–30.7] | 0.371 |
| ICW (L) | 15.3 [7.8–28.0] | 15.8 [7.9–28.0] | 12.5 [7.8–22.2] | 0.000 |
| TBW (L) | 31.8 [16.3–56.4] | 33.8 [16.3–56.4] | 27.7 [19.7–52.9] | 0.013 |
| ECW/ICW ratio | 1.13 [0.62–1.90] | 1.05 [0.62–1.89] | 1.22 [0.87–1.78] | 0.001 |
| LTI (kg/m2) | 11.6 [5.3–21.4] | 12.4 [5.8–21.4] | 9.4 [5.3–16.4] | 0.000 |
| FTI (kg/m2) | 10.7 [0.9–29.8] | 9.7 [0.9–29.0] | 11.2 [2.1–29.8] | 0.042 |
| LTM (kg) | 28.2 [2.0–59.3] | 30.7 [2.0–59.3] | 22.9 [12.5–51.3] | 0.013 |
| ATM (kg) | 24.8 [2.3–66.9] | 24.0 [2.3–64.5] | 29.5 [2.4–66.9] | 0.222 |
| FAT (kg) | 18.4 [1.7–49.2] | 17.6 [1.7–47.4] | 21.7 [4.9–49.2] | 0.042 |
| Body cell mass | 15.4 [2.3–36.1] | 16.8 [2.3–36.1] | 11.7 [4.1–29.6] | 0.001 |
| Dry weight (kg) | 57.6 [33.5–99.7] | 58.5 [33.5–99.7] | 53.3 [37.2–90.9] | 0.228 |
NOAC: non–vitamin K antagonist oral anticoagulant; CRP: C-reactive protein; BUN: blood urea nitrogen; BMI: body mass index; ECW: extracellular water; ICW: intracellular water; TBW: total body water; LTI: lean tissue index; FTI: fat tissue index; LTM: lean tissue mass; ATM: adipose tissue mass; FAT: fat mass.
Table 2.
Multivariate Cox proportional hazards analysis of permanent catheter patency survival in the non-patent group.
Table 2.
Multivariate Cox proportional hazards analysis of permanent catheter patency survival in the non-patent group.
| Hazard ratio | 95% CI of difference | P value | ||
| Lower | Upper | |||
| Model 1 | ||||
| ECW/ICW ratio | 6.016 | 1.895 | 19.094 | 0.002 |
| Model 2 | ||||
| ECW/ICW ratio | 6.615 | 1.958 | 22.346 | 0.002 |
| Age | 1.049 | 1.016 | 1.083 | 0.004 |
| Sex | 0.950 | 0.458 | 1.971 | 0.890 |
| Model 3 | ||||
| ECW/ICW ratio | 4.792 | 1.225 | 18.747 | 0.024 |
| Age | 1.043 | 1.006 | 1.080 | 0.021 |
| Sex | 1.211 | 0.566 | 2.592 | 0.622 |
| LTI | 0.907 | 0.768 | 1.071 | 0.248 |
| FTI | 1.031 | 0.962 | 1.104 | 0.393 |
HR = hazard ratio; CI: confidence interval; ECW: extracellular water; ICW: intracellular water; LTI: lean tissue index; FTI: fat tissue index.
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