Literature DB >> 34675757

Association Between Blood and Lymphocyte Levels of Cyclosporin A and Infectious Complications in Renal Transplant Patients.

Aline Milane1, Linda Abou-Abbas2, Lara Osmani3, Naja Saber3, Nadine Mefleh3, Antoine Barbari3.   

Abstract

OBJECTIVES: This study aims to investigate a potential association between whole blood and lymphocyte Cyclosporin A (CyA) levels and the occurrence and frequency of infectious complications in kidney transplant patients.
METHODS: The study involves 130 kidney transplant recipients who received CyA in addition to Mycophenolate Mofetil and steroids. CyA whole blood trough and maximum level (CyA BL0 and CyA BLm) as well as the corresponding levels in the lymphocytes (CyA L0 and CyA Lm) were measured for 6 months post-transplantation.
RESULTS: Cytomegalovirus (CMV) as well as urinary tract infections (UTIs) were the most commonly diagnosed with an incidence of 24.6% and 26.2%, respectively. Only CyA L0 showed a significant association with CMV infection occurrence (adjusted OR = 1.051, 95% CI .997-1.025, P-value 0.046). A positive linear correlation was found between CyA BL0, CyA BLm and CyA Lm and the number of CMV episodes per patient.
CONCLUSION: We showed an association between the CMV infections occurrence and the trough lymphocyte level of CyA (CyA L0). Both lymphocyte CyA levels also correlated with the frequency of CMV infections. Further studies are needed to establish the optimal range of both CyA blood and lymphocyte levels and decrease the risk of opportunistic infections in high risk patients.
© The Author(s) 2021.

Entities:  

Keywords:  blood levels; cyclosporine; cytomegalovirus infections; kidney transplant; lymphocyte levels; urinary tract infections

Year:  2021        PMID: 34675757      PMCID: PMC8524715          DOI: 10.1177/15593258211042169

Source DB:  PubMed          Journal:  Dose Response        ISSN: 1559-3258            Impact factor:   2.658


Introduction

It is estimated that 15–21% of deaths in kidney transplant are secondary to infectious complications. Infections can range from mild asymptomatic to life threatening requiring intensive care unit admission or at least reduction in the immunosuppression level.[1,2] Infection-related mortality might increase up to 30-fold in transplant recipients compared with the general population. The first 3 months after transplantation, where immunosuppression is at its highest, represent the most critical period regarding the increased risk for infectious episodes. There are many risk factors for infectious complications: donor-related due to the presence of active or latent infections; procedure-related such as the use of catheters; and recipient-related such as diabetes, advanced age and malnutrition. Urinary tract infections (UTIs) are the most common bacterial infections in kidney transplant, followed by pneumonia, postoperative infections, and septicemia. They occur mainly in the first 3 months post-transplantation and hold deleterious effects on the recipient. Overall, the most common causative pathogenic agent identified in several studies was E. coli and the main risk factor was female gender. UTIs are mainly associated with increased graft loss, and may cause prolonged inflammation as well as renal scarring. CMV is an important pathogen in kidney transplantation occurring mainly in the first 3 months post-transplantation in 20–60% of transplants. Clinical manifestation varies among recipients with gastrointestinal symptoms being the most common especially in primary CMV infection. Therapeutic drug monitoring (TDM) improves clinical outcomes, optimizes drug dosing and decreases occurrence of serious adverse events. TDM is crucial for drugs such as Cyclosporin A (CyA) that has a narrow therapeutic index. Routinely, dosage individualization is done by measuring the CyA concentration in blood and adjusting the dosage for each recipient to meet target drug concentrations associated with desirable clinical outcomes. Few studies investigated the infectious complications in transplant patients and the association with immunosuppressant drug levels.[10-14] Our study aims at assessing the association between (i) CyA whole blood and/or lymphocyte levels and the occurrence of infectious complications; and (ii) Between CyA blood and/or lymphocyte levels and the frequency of infectious episodes per patient.

Methods

Study Population

Study was conducted on 130 kidney recipients transplanted at Rizk hospital between 1998 and 2006. The study protocol was approved by the Lebanese University Ethics Committee. All patients received similar induction therapy with an anti-thymocyte globulin (ATG-Fresenius) during the first week post-transplantation to maintain a CD4 count of ≤50 for a total of 3–4 mg/kg body weight. They were maintained on a triple regimen including CyA, MMF, and prednisone. CyA was started at 7 mg/kg and dose was adjusted to maintain a maximum blood level between 1000–1500 and 500–1000 ng/mL during the first 3 months and 3–6 months, respectively.

Therapeutic Drug Monitoring

Blood samples were obtained immediately before and 2 hours following CyA administration for simultaneous whole blood (CyA BL0 and BLm) and lymphocyte (CyA L0 and CyA Lm) drug levels monitoring, respectively. Blood and lymphocyte levels were expressed in ng/mL and picogram per lymphocyte (pg/Lc), respectively. All relevant clinical events and biological parameters from the first 6 months post-transplantation were recorded. The infectious complications were assessed clinically and confirmed by a series of para-clinical exams.

Statistical Analysis

Data were analyzed using the SPSS software version 23.0. Descriptive statistics were reported using means and standard deviations (SD) for continuous variables, and frequency with percentages for categorical variables. All statistical tests were two-sided, and the significant level was set at 0.05.

Association of CyA Levels With Occurrence of Infections

To investigate the relationship between CyA blood and lymphocyte levels and infections occurrence, multiple logistic regression analyses were performed with the occurrence of infectious complications particularly UTI and CMV as dependent variables. The final logistic regression model was reached after ensuring the adequacy of our data using the Hosmer and Lemeshow test.

CyA Blood and Lymphocyte Levels and Number of Infectious Episodes

Mean scores of the CyA Blood and lymphocyte levels were calculated for the patients divided into three categories according to the number of CMV, UTI, and total infection episodes (0, 1, and 2+). The CyA levels were compared between groups using the analysis of variance test. Bonferroni correction test on post hoc analysis was used for pairwise comparison. Spearman correlation coefficients were used to assess simple correlation between the CyA levels and the number of infectious episodes. Correlations between the CyA levels and the number of infectious episodes were assessed by means of Spearman’s rank correlation analysis. Results are presented as Spearman’s coefficient (Rs) with appropriate P-value. All statistical tests were two-sided, and the significant level was set at .05.

Results

Our sample consisted of 130 patients with a mean age of 43.2 ± 14.7 years. Of the total, 77 were males (59%) and 53 (41%) were females. The mean weight was 66.5 ± 13.2 kg. Patients received prophylactic antibiotics (100%), as well as Gancliclovir (39.2%) and Valcyclovir (19.2%). Twenty-nine patients (22%) exhibited rejection within 6 months post-transplantation. The mean CyA dose was 4.3 ± 2.5 mg/kg. The mean CyA BL0 and CyA BLm over the 6 months period were 143.3 ± 133.2 ng/mL and 948.4 ± 713.2 mg/mL, respectively. The corresponding mean CyA lymphocyte levels CyA L0 and CyA Lm were 16.4 ± 25.4 pg/Lc and 45.5 ± 65.2 pg/Lc, respectively. The demographics and clinical characteristics of our renal transplant patients are presented in Table 1.
Table 1.

Demographics and clinical characteristics of renal transplant patients.

VariablesAll (N = 130)
Age (years) (mean ±SD)43.1 ± 14.8
Gender n (%)
 Male78 (60)
 Female52 (40)
Body weight (kg) (mean ±SD)66.8 ± 13.2
Rejection n (%)
 No102 (78.5)
 Yes28 (21.5)
CyA dose (mg/kg/day) (mean ± SD)4.3 ± 2.5
CyA BL0 (ng/mL) (mean ± SD)141.3 ± 133.2
CyA BLm (ng/mL) (mean ± SD)948.4 ± 713.2
CyA L0 (pg/Lc) (mean ± SD)16.4 ± 25.4
CyA Lm (pg/Lc) (mean ± SD)45.5 ± 65.2
Mycophenolic mofetil (g/day) (mean ± SD)1.5 ± .2
Steroids dose (mg/day) (mean ± SD)18.1 ± 8.2
Demographics and clinical characteristics of renal transplant patients. Thirty-two patients were infected with CMV (24.6%). Only 4 patients (3.8%) developed EBV, 2 (1.5%) developed HCV, 2.3% developed parvovirus, and 1.5% developed polyomavirus infections. Of the total, 34 (26.2%) patients developed UTI after transplantation (Table 2).
Table 2.

Incidence of viral infections and urinary tract infections (UTI) in kidney transplant recipients

All (N = 130)
CMV n (%)
 No98 (75.4%)
 Yes32 (24.6%)
EBV n (%)
 No125 (96.2%)
 Yes5 (3.8%)
HCV n (%)
 No128 (98.5%)
 Yes2 (1.5%)
HBV n (%)
 No130 (100%)
 Yes0 (0%)
Parvovirus n (%)
 No127 (97.7%)
 Yes3 (2.3%)
Polyomavirus n(%)
 No128 (98.5%)
 Yes2 (1.5%)
UTI
 No96 (73.8%)
 Yes34 (26.2%)

N frequency, % percentage.

Incidence of viral infections and urinary tract infections (UTI) in kidney transplant recipients N frequency, % percentage.

Association of CyA Levels With the Occurrence of Infections

The results of the bivariate and multivariable analysis of the UTIs occurrence are presented in Table 3. Females had significantly higher risk of UTI than males (adjusted OR: 12.2; 95% CI: 4.03-37.1; P-value <.0001). Weight was also found to be associated with UTI (adjusted OR = 1.07 with 95% CI between 1.02 and 1.12, P-value .003). No associations were found between the incidence of infection and CyA levels in either blood, or lymphocytes (P > .05).
Table 3.

Factors associated with the UTI occurrence among kidney transplant recipients.

VariablesOR unadj95% CIP-valueOR adj95% CIP-value
Age1.01.98-1.04.392
Female gender4.82.1-11.2<.000112.24.03-37.1<.0001
Weight1.041.0003-1.074.0481.071.024-1.12.003
CyA dose (mg/kg).977.838-1.138.762
CyA BL0 (ng/mL)1.00.997-1.003.82
CyA BLm (ng/mL)1.00.999-1.001.904
CyA L0 (pg/Lc)1.01.996-1.025.173
CyA Lm (pg/Lc)1.002.997-1.008.428

OR unadj, Unadjusted odds ratio; OR adj, adjusted odds ratio; CI, Confidence interval.

P-value <.05 is considered significant.

Factors associated with the UTI occurrence among kidney transplant recipients. OR unadj, Unadjusted odds ratio; OR adj, adjusted odds ratio; CI, Confidence interval. P-value <.05 is considered significant. The results of the bivariate and multivariable analysis of the CMV occurrence are presented in Table 4. The CyA L0 was the only CyA level to show a significant association with CMV infection occurrence (adjusted OR = 1.003 with 95% CI between 0.988 and 1.019, P-value 0.046). Patients weight was also found to be associated with the occurrence of CMV infection (adjusted OR = 1.042 with 95% CI between 1.003 and 1.08, P-value 0.034).
Table 4.

Factors associated with the CMV occurrence among renal transplant recipients.

VariablesOR unadj95% CIP-valueOR adj95% CIP-value
Age1.02.99-1.05.175
Female gender.61.26-1.41.247
Weight1.051.009-1.087.0141.0421.003-1.08.034
CyA dose (mg/kg)1.201.001-1.446.049
CyA BL0 (ng/mL)1.0041.001-1.007.015
CyA BLm (ng/mL)1.0011.0003-1.002.004
CyA L0 (pg/Lc)1.003.988-1.019.6581.051.997-1.025.046
CyA Lm (pg/Lc)1.004.998-1.010.183

OR unadj, unadjusted odds ratio; OR adj, adjusted odds ratio; CI, Confidence interval.

P-value <.05 is considered significant.

Factors associated with the CMV occurrence among renal transplant recipients. OR unadj, unadjusted odds ratio; OR adj, adjusted odds ratio; CI, Confidence interval. P-value <.05 is considered significant.

CyA Levels and Number of Infectious Episodes

The number of CMV, UTI, and all infectious episodes per patient are presented in Table 5. Statistically significant differences were only observed for CMV infections.
Table 5.

Patient distribution (number and %) by number of infectious episodes (CMV, UTI, and total) in kidney transplant recipients

Infectious episodesN = 130
CMV
 096 (73.8)
 122 (16.9)
 27 (5.4)
 34 (3.1)
 41 (.8)
UTI
 098 (75.4)
 124 (18.5)
 25 (3.8)
 31 (.8)
 52 (1.5)
All infectious episodes
 072 (55.4)
 131 (23.8)
 212 (9.2)
 39 (6.9)
 42 (1.5)
 52 (1.5)
 61 (.8)
 71 (.8)
Patient distribution (number and %) by number of infectious episodes (CMV, UTI, and total) in kidney transplant recipients In Table 6, mean CyA levels across CMV infection episodes categories are displayed. The mean CyA BL0 was higher among the group with one infection compared the group with no CMV infection (Mean CyA BL0 of 198 ng/mL compared to 121.7 ng/mL; P-value .043). The mean CyA BLm and CyA Lm were also higher in the group with 2+ episodes than that of the group of no infection (Mean CyA BLm of 1461.9 ng/mL compared to 834.6 ng/mL; P-value .010, and Mean CyA Lm 95.5 pg/Lc compared to 41.2 pg/Lc; P-value .035).
Table 6.

CyA levels for different patient groups (0: no CMV infections, 1: one CMV infection, 2-4: two to four CMV infections).

CMV episodesNMeanStd. deviationP-value*
CyA BL0 (ng/mL)096121.7133.1.018
122198.0*132.3
2-412194.094.0
CyA BLm (ng/mL)096834.6700.9.004
1221165.0731.8
2-4121461.9*454.5
CyA L0 (pg/Lc)09616.027.1.829
12219.322.4
2-41214.615.6
CyA LTm (pg/Lc)09641.266.2.019
12237.149.0
2-41295.5*66.5

Note: Results are expressed as means and standard deviations.

*P < .05 compared with the first group (no infection of CMV).

CyA levels for different patient groups (0: no CMV infections, 1: one CMV infection, 2-4: two to four CMV infections). Note: Results are expressed as means and standard deviations. *P < .05 compared with the first group (no infection of CMV). We then performed a correlation analysis to evaluate the association between CyA levels and infectious episodes. A positive linear correlation was found between CyA BL0, CyA BLm and CyA Lm and the total number of CMV episodes (Table 7 & Figures 1A-C).
Table 7.

Correlation between CyA levels and CMV episodes

Correlation coefficientP-value
CyA BL0.31<.0001
CyA BLm.28.001
CyA L0.13.138
CyA Lm.20.033
Figure 1.

A. Relationship between total number of CMV episodes and mean CyA whole blood trough level (CyA BL0); B. Relationship between total number of CMV episodes and mean CyA maximum whole blood level (CyA BLm); and C. Relationship between total number of CMV episodes and mean CyA maximum lymphocyte level (CyA Lm).

A. Relationship between total number of CMV episodes and mean CyA whole blood trough level (CyA BL0); B. Relationship between total number of CMV episodes and mean CyA maximum whole blood level (CyA BLm); and C. Relationship between total number of CMV episodes and mean CyA maximum lymphocyte level (CyA Lm). Correlation between CyA levels and CMV episodes

Discussion

Infectious complications are one of the major leading cause of death in kidney transplant patients. The first 6 months post-transplantation hold the greatest risk since immunosuppression would be at its highest level predisposing to infections with microorganisms, most commonly CMV and UTIs.[11,15,16] Indeed, in the present study, the most common infections that were diagnosed within the first 6 months following kidney transplant were CMV infections and UTIs. Logistic regression did not show any association between the incidence of UTI and CyA levels. In contrast, a significant association was observed between CMV occurrence and the trough lymphocyte level CyA L0. Furthermore, our analysis showed a positive linear and exponential associations between most CyA blood and lymphocyte levels and the mean number of CMV infectious episodes per patient. Very little data exists in Lebanon and the region on CyA level monitoring and the association with immunosuppression.[17-19] Furthermore, in spite of the well-established genetic impact on the pharmacokinetic and pharmacodynamics effects of immunosuppressive drugs, knowledge of genetic variants affecting CyA bioavailability and bioactivity are also very limited as we have recently shown in the Lebanese population. In spite of the limited resources in such a developing country, the availability of TDM is critical and certainly cost effective given its important role as a tool to monitor immunosuppressive therapy in order to ensure optimal therapeutic efficacy while minimizing serious adverse events such as bacterial and viral infections. While all our patients received similar induction therapy, the mean CyA concentrations, measured in both blood and lymphocyte, showed wide variability with exceptionally high recorded standard deviation. Therefore, the lack of statistical significance between CyA levels and the occurrence of infections might be due to this considerable inter-individual variability in the context of a relatively small patient cohort. This well-established inter-individual variability in immunosuppressive drug pharmacokinetics is related to a complex inter-play of a set of ethnic, genetic, and environmental factors. These environmental factors include recipient characteristics such as age, body composition, red blood cell mass, organ function, inflammation, food intake, and co-administration of other medications but also donor-related characteristics such as donor age, graft type, and function, ischemia reperfusion injury, and time since transplantation.[21,22] It has always been challenging to conclude on the most relevant parameter for pharmacokinetic monitoring of CyA. The time at which blood should be drawn has also been debated. Both whole blood trough concentration (C0) and concentration 2 hours (C2) post dose have been routinely used for years.[24,25] Some studies reported, however, that these two blood levels do not always correlate with graft outcomes.[26,27] In previous studies, we assessed those levels and compared them to intracellular levels, we found that maximum lymphocyte level correlates better than whole blood level with rejection-free outcome and lymphocyte count.[17,19,28] In the current study, and despite an important inter-individual variability, the only level that was significantly associated with the occurrence of CMV infections was the trough lymphocyte level. The CyA lymphocyte level seem to be consistently associated with either the occurrence  (CyA L0) or frequency (CyA Lm) of CMV infections in our sample of renal transplants. Monitoring CyA at the site of the action, the lymphocyte, seems to be accurately reflecting the immunologically relevant drug concentration and hence, providing a good correlate with clinical outcomes and side effects such as opportunistic infections. Finally, in our patient population, results revealed a significant relationship between UTIs and female gender, the latter being the most important risk factor for UTIs. These findings are in agreement with those reported in other studies.[6,29] The lack of association between UTI and blood and lymphocyte pharmacokinetic parameters may be explained by the fact that in addition to the wide variation in pharmacokinetic parameters, several non-immunological predisposing factors may play an important role in predisposing transplant and non-kidney transplant patients to infections of urinary tract. These factors include: the genitourinary anatomical anomalies commonly encountered in kidney transplant patients. Patients weight was also shown to be associated with CMV occurrence. It is well known that CyA is distributed in adipose tissue due to its lipophilic property. However, many reports showed that the distribution volume of CyA is independent of body weight and composition and suggested that the maintenance dose of CyA should probably be given on the basis of ideal body weight rather than total body weight (TBW). The higher doses given to our patients based on TBW could have modulated the distribution balance between adipose, plasma and intra-lymphocytic compartments, resulting in more immunosuppression.

Conclusion

In conclusion, the present study clearly demonstrates a clear association between CyA lymphocyte levels and both the occurrence (CyA L0) and frequency (CyA Lm) of CMV opportunistic infections in a sample of kidney transplants.

Study Limitations

This is a retrospective analysis comprising a cohort of transplant patients from a single transplant center. Nevertheless, it is the first to investigate the correlation between CyA monitoring parameters and infectious complications in the MENA region.

Author Contributions

Antoine Barbari and Aline Milane designed, initiated the research, analyzed the study results, wrote a part of the manuscript, and reviewed the completed manuscript. Linda Mehanna entered the data into the SPSS, analyzed the study results, and wrote a part of the manuscript. Lara Osmani, Naja Saber and Nadine Mefleh collected data and wrote a part of the manuscript.
  31 in total

1.  Cyclosporine lymphocyte level and lymphocyte count: new guidelines for tailoring immunosuppressive therapy.

Authors:  A Barbari; A Stephan; M Masri; N Mourad; G Kamel; H Kilani; A Karam; I A Daya
Journal:  Transplant Proc       Date:  2003-11       Impact factor: 1.066

2.  Mortality from infections and malignancies in patients treated with renal replacement therapy: data from the ERA-EDTA registry.

Authors:  Judith L Vogelzang; Karlijn J van Stralen; Marlies Noordzij; Jose Abad Diez; Juan J Carrero; Cecile Couchoud; Friedo W Dekker; Patrik Finne; Denis Fouque; James G Heaf; Andries Hoitsma; Torbjørn Leivestad; Johan de Meester; Wendy Metcalfe; Runolfur Palsson; Maurizio Postorino; Pietro Ravani; Raymond Vanholder; Manfred Wallner; Christoph Wanner; Jaap W Groothoff; Kitty J Jager
Journal:  Nephrol Dial Transplant       Date:  2015-01-29       Impact factor: 5.992

3.  Cyclosporine lymphocyte maximum level monitoring in de novo kidney transplant patients: a prospective study.

Authors:  A G Barbari; M A Masri; A G Stephan; B El Ghoul; S Rizk; N Mourad; G S Kamel; H E Kilani; A S Karam
Journal:  Exp Clin Transplant       Date:  2006-06       Impact factor: 0.945

4.  Neoral monitoring by simplified sparse sampling area under the concentration-time curve: its relationship to acute rejection and cyclosporine nephrotoxicity early after kidney transplantation.

Authors:  K Mahalati; P Belitsky; I Sketris; K West; R Panek
Journal:  Transplantation       Date:  1999-07-15       Impact factor: 4.939

5.  Cytomegaloviral infection in solid organ transplant recipients: preliminary report of one transplant center experience.

Authors:  E Hryniewiecka; D Sołdacki; L Pączek
Journal:  Transplant Proc       Date:  2014-10       Impact factor: 1.066

Review 6.  Use of Neoral C monitoring: a European consensus.

Authors:  Bjorn Nashan; Andreas Bock; Jean-Louis Bosmans; Klemens Budde; Hans Fijter; Bryon Jaques; Atholl Johnston; Rainer Lück; Karsten Midtvedt; Luis M Pallardó; Andrew Ready; Ephrem Salamé; Mauro Salizzoni; Francisco Suarez; Eric Thervet
Journal:  Transpl Int       Date:  2005-07       Impact factor: 3.782

7.  Opportunistic posttransplantation virus infections in renal transplant recipients.

Authors:  J H Hu; H Zhao; Y P Huang; X Zhang; H N Gao; M F Yang; J Fan; W H Ma
Journal:  Transplant Proc       Date:  2011-12       Impact factor: 1.066

8.  Does the calcineurin inhibitor have influence on cytomegalovirus infection in heart transplantation?

Authors:  María Rodríguez-Serrano; Ignacio Sánchez-Lázaro; Luis Almenar-Bonet; Luis Martínez-Dolz; Manuel Portolés-Sanz; Miguel Rivera-Otero; Antonio Salvador-Sanz
Journal:  Clin Transplant       Date:  2013-12-11       Impact factor: 2.863

9.  Physiologically based pharmacokinetics of cyclosporine A: extension to tissue distribution kinetics in rats and scale-up to human.

Authors:  R Kawai; D Mathew; C Tanaka; M Rowland
Journal:  J Pharmacol Exp Ther       Date:  1998-11       Impact factor: 4.030

10.  Comparison of C0 and C2 cyclosporine monitoring in long-term renal transplant recipients.

Authors:  R Marcén; J Pascual; A Tato; J J Villafruela; J L Teruel; M E Rivera; M Tenorio; M Fernández; F J Burgos; J Ortuño
Journal:  Transplant Proc       Date:  2003-08       Impact factor: 1.066

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.