Elsevier

Transplant Immunology

Volume 57, December 2019, 101229
Transplant Immunology

Immunoglobulin abnormalities in 1677 solid organ transplant recipients. Implications for posttransplantation follow-up.

https://doi.org/10.1016/j.trim.2019.101229Get rights and content

Highlights

  • Immunoglobulin abnormalities are frequent after solid organ transplantation.

  • Posttransplantation gammopathies are associated with high risk of PTLD, allograft loss and death.

  • The combination of SPE, SIFE, UIFE and SFLC methods is optimal for gammopathy detection.

  • These methods aid in identifying patients who are at risk for PTLD or allograft damage.

  • As a practical application of our findings we present an algorithm for patient management and follow-up.

Abstract

Background

Posttransplant lymphoproliferative disorder (PTLD) is a severe complication of solid organ transplantation (SOT). However, there is no consensus on PTLD screening methods. Gammopathies (GP), which occur in 10–25% of SOT recipients, have been linked to subsequent development of PTLD. Therefore, GP detection methods, such as serum protein electrophoresis (SPE), serum protein immunofixation (SIFE), urine protein immunofixation (UIFE) and the quantitative measurement of serum free light chains (SFLC) are candidate methods for PTLD screening.

Objective

We aimed to assess the frequency of PTLD and GP, association of GP with subsequent PTLD, allograft loss or death and the diagnostic performance of SPE/SIFE in PTLD screening. The main objective was to explore, whether GP detection methods can be used to enhance the efficiency of PTLD screening and to formulate a concise algorithm for posttransplantation (post-Tx) follow-up.

Methods

We performed a cohort study on 1677 SOT recipients with SPE/SIFE data who underwent kidney, liver, heart, pancreas, Langerhans islets or multiple organ transplantation at the Institute of Clinical and Experimental Medicine between 1966 and 2015. The median (IQR) of follow-up time was 8.0 (4.0–12.0) years.

Results

The frequencies of PTLD and GP in SOT recipients were 2.8% and 6.4%, respectively. The frequencies of transient GP, GP of undetermined significance and malignant GP were 33%, 63% and 4% respectively. The median time between SOT and GP detection was 2.0 (interquartile range 1.0–7.0) years. GP was associated with a significantly higher risk of PTLD, allograft loss and death, with hazard ratios (95% confidence intervals) of a 6.06 (2.51–14.64), 2.61 (1.49–4.6) and 1.99 (1.2–3.3), respectively. Additionally, GP was associated with 2.98-fold increased risk of allograft loss in kidney transplant patients. SPE diagnostic sensitivity and specificity for PTLD were 14.8% and 93.9%, respectively. PTLD was diagnosed more often and earlier if SPE/SIFE was included in the post-Tx follow-up.

Conclusions

GP after SOT is associated with a high risk of PTLD, allograft loss and poor survival. The combination of SPE, SIFE, SFLC and UIFE is optimal for GP detection. These methods aid in identifying patients who are at risk for PTLD or allograft damage and should be included in regular post-Tx follow-up.

Introduction

Posttransplant lymphoproliferative disorder (PTLD) is a severe complication of solid organ transplantation (SOT) with a mortality rate of 20–70% [[1], [2], [3], [4]]. The cumulative incidence of PTLD ranges from 1% to 20% [1,[3], [4], [5], [6]], depending on various risk factors, such as Epstein Barr-virus (EBV) and Cytomegalovirus (CMV) infection, age at transplantation (Tx), the type of organ transplanted, or the type and dosage of immunosuppressive medication [[7], [8], [9], [10], [11], [12], [13], [14]].

PTLD is characterized by a heterogeneous clinical presentation, which may include late-stage organ damage but may also be limited to nonspecific symptoms (weight loss, lymphadenopathy, dyspepsia). The definitive diagnosis of PTLD relies on biopsy-based methods, which cannot be used for regular posttransplantation (post-Tx) screening. Therefore, there is an ongoing search for methods using peripheral blood samples, which possess low patient burden and offer sufficient diagnostic performance for reliable screening.

Gammopathies (GP), which occur in 10–25% of SOT recipients, have been linked to immunosuppressive treatments and the subsequent development of PTLD [5,6,[15], [16], [17], [18], [19], [20], [21], [22], [23]]. Thus, GP detection methods, serum protein electrophoresis (SPE), serum protein immunofixation (SIFE) and quantitative measurement of serum free light chains (SFLC), have already been tested as candidate PTLD screening methods. However, previously published results have displayed heterogeneity, and no clear consensus on the implementation of these methods in PTLD diagnostics has been reached so far [5,6,[15], [16], [17], [18], [19], [20],[24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35]].

As a result, there is no comprehensive guideline for SPE, SIFE and SFLC use in SOT recipients. This favours ineffective ordering of tests and misinterpretation of results with incorrect management of GP patients.

Section snippets

Objective

We aimed to explore, whether GP detection methods can be used to enhance the efficiency of PTLD screening and to formulate a concise algorithm for post-Tx follow-up.

Data collection and patient characteristics

We performed a cohort study on SOT recipients with SPE/SIFE data who underwent Tx at the IKEM between 1966 and 2015. IKEM performs all major SOT types except for lung Tx. The laboratory results database was searched for SPE/SIFE results, and the patient history database was searched for sex, age at Tx, transplanted organ, date of Tx, PTLD type and date of diagnosis, allograft loss and patient death. The follow-up period was defined as the time from the first Tx to the last examination in 2015

Diagnostic performance of SPE/SIFE in PTLD patients

Method sensitivity, specificity, and positive and negative predictive values were calculated using SPE/SIFE results from a two-year period prior to PTLD diagnosis.

The usefulness of SPE/SIFE in PTLD diagnostics was assessed by comparing the number of PTLD cases diagnosed and time to PTLD diagnosis in two patient cohorts B and C.

Time-to-event analysis

To determine the relative risk of PTLD, mortality and allograft loss associated with the presence of post-Tx GP, we performed Cox proportional hazard regression and

Frequency and first detection of gammopathies

Frequency data are presented as the absolute counts and percentage of patients with SPE/SIFE findings. Longitudinal data are presented as the median and interquartile range (IQR).

Pathological SPE/SIFE findings were present pre- and post-Tx in 20 (4.2%) and 107 (6.4%) patients, respectively. Post-Tx monoclonal, biclonal and oligoclonal GP were detected in 71 (4.3%), 9 (0.5%) and 27 (1.6%) patients, respectively. GP was most common after heart transplantation (HTx), with 6 (15.4%) cases. The

Frequency of gammopathies

We found post-Tx GP in 6.4% of SOT recipients (Table 2), which is more frequent than the 3.2% prevalence reported in the general population [39]. The published data on GP incidence in the Tx population vary considerably, with 25–50% in HTx, 21–44% in LTx, and 0.6–25% in KTx patients. The frequency of GP increased with age from 4.8% in the group <50-years-of-age to 11.4% in the group >70-years-of-age at Tx. A similar trend was observed in the non-Tx [39] and Tx populations [21,23,30].

Monoclonal

Conclusions

GP after SOT, even without other symptoms, has to be considered a significant finding. GP should be searched for, and if found, managed accordingly. We found that GP is associated with a high risk of PTLD, allograft loss and poor survival and has a direct pathophysiological connection to post-Tx plasma cell dyscrasia.

It is important to emphasize that neither of the tests for GP detection has sufficient sensitivity to be used as a single-screening method for all PTLD patients. The best results

Authorship

Peter Sečník Jr., MD.

Participated in data acquiring and analysis, writing of the manuscript.

Antonín Jabor, Prof., MD, PhD.

Participated in designing of the methods, data analysis and study supervision.

Petra Lavríková, MD.

Participated in data acquiring and analysis.

Juraj Sečník, MD.

Participated in statistical evaluation and data analysis.

Pavlína Malíková, MD.

Participated in manuscript review and designing of the screening algorithm.

Eva Pokorná, Assoc. Prof., MD, PhD.

Participated in data acquiring

Disclosure

Declaration of interests: none.

Funding

The study was supported by Ministry of Health of the Czech Republic, grant number: AZV MZ 15-27579A.

Funding source had no involvement in study design, collection, analysis and interpretation of the data; in the writing of the report or the decision to submit the article for publication.

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