Lúcio R Requião-Moura1,2. 1. Universidade Federal de São Paulo, Departamento de Medicina, Disciplina de Nefrologia, São Paulo, SP, Brasil. 2. Hospital Israelita Albert Einstein, Unidade de Transplante Renal, São Paulo, SP, Brasil.
Cytomegalovirus (CMV) infection is one of the most common events after kidney
transplantation, with implications for clinical management, morbidity, and possibly
mortality1
,
2. In the primary infection, observed in 10% of
patients, the transmission occurs throughout the graft from a seropositive donor to a
seronegative recipient. On the other hand, most recipients had the first contact with
the virus in childhood, and reactivation occurs after the immunosuppression, when
CMV-related events are divided into direct and indirect effects4
,
5. Direct effects are infection when there is
evidence of CMV replication independent of symptoms and disease when infection is
followed by CMV-related symptoms or laboratory changes4. The indirect effects observed are an increased risk of secondary
infections (pneumocystis and other herpesviruses) and an increased risk of acute
rejection and chronic kidney dysfunction5.In this scenario, it is imperative to adopt one of two strategies to reduce the risk of
CMV-related events, especially the direct effects: universal prophylaxis or preemptive
treatment4. The first strategy is based on the
use of valganciclovir for 3 or 6 months after transplantation, which seems to be
associated with fewer CMV-related events, despite some disadvantages such as toxicity,
late-onset CMV disease, risk of resistance, and high cost6. Preemptive treatment, on the other hand, is the sequential and intensive
monitoring of CMV replication to detect early viral load, followed by antiviral
treatment when a threshold viral load is reached before symptoms appear4. Since the public health system in our country
does not provide valganciclovir, most transplant centers perform CMV risk reduction with
preemptive treatment. However, to date, the best viral load threshold to start treatment
with this strategy has not been clearly defined.I read with great interest the article by Caurio and coworkers7 published in the Brazilian Journal of Nephrology. They enrolled 30
kidney transplant recipients who were transplanted at two different centers and
prospectively collected 232 plasma samples to identify CMV viremia using two paired
methods: pp65 antigenemia and an in-house quantitative renal time PCR. For PCR, they
calibrated the results according to the 1st WHO International Standard (WHOIS) for Human
Cytomegalovirus. The included patients were at low or high risk for CMV-related events
after transplantation, as 40% of them had received immunological induction with
anti-lymphocyte depletion antibody (antithymocyte globulin). In addition, they all
received tacrolimus and mycophenolate as maintenance immunosuppression and 86.6% were
CMV IgG positive before transplantation.The milestone of results was the performance of the in-house PCR to predict CMV-related
events, defined as the decision to initiate antiviral treatment in a preemptive
treatment strategy, based on the pp65 antigenemia result (10 positive cells) or
physician decision. Three different viral loads were evaluated, 2,750 IU/mL, 3,430
IU/mL, and 3,650 IU/mL, which achieved sensitivity for antiviral treatment of 100%,
97.1%, and 91.2%, respectively. For the value of 3,430 IU/mL (log 3.54), the ROC curve
to initiate therapy was 0.93. As well pointed out by the authors in the discussion of
the article, after nearly ten years of the launch of the WHOIS, a consensual
threshold for treatment of CMV has not yet been defined. It is well known
that viral load correlates with the risk of CMV-related events, particularly disease and
invasive disease. However, given the wide variation among populations, risk factors, and
laboratory aspects such as specimen types (whether plasma or whole blood) and assays,
the third international consensus recommends that centers establish viral load
thresholds for therapy or treatment endpoints. For this goal, the study appears to be
successful4.In the study, of 30 patients, 25 had a positive test, 11 were symptomatic, but only 3 met
the criteria for CMV disease. It is important to note that the viral load in the
asymptomatic patients was 3,490 IU/mL (vs. 15,539 in the symptomatic,
P<0.001), which was closer to the value found with better performance to predict
treatment (3,430 IU/mL) when 10 positive cells in pp65 antigenemia and physician
decision were used as the gold standard. We must acknowledge the authors' efforts and
the good quality of this evidence. However, this cut-off value cannot be extrapolated to
other centers using commercial or other in-house PCR. For instance, in a previous study,
David-Neto et al. investigated cut-offs for pp65 antigenemia and an in-house PCR, and
the best results for predicting CMV disease were 4 positive cells and 2,000 copies/mL,
respectively8.Regardless of the threshold for preemptive treatment (2,000, 3,500, or 5,000 IU/mL), this
strategy exposes patients to some levels of CMV replication that could be associated
with the indirect CMV effects. In an elegant and prospective study, Reischig et al.
demonstrated that CMV viremia ≥ 2000 copies/mL increased the probability of interstitial
fibrosis and tubular atrophy in kidney allograft biopsies (OR=3.83, P=0.023)9. We found that CMV viremia was associated with
high urinary levels of retinol-binding protein (OR = 4.62, P = 0.001), an early marker
of proximal tubular damage, resulting in lower 5-year graft function (OR = 0.95, P =
0.01)10. On the other hand, a recent
publication indicated that current clinical management should no longer consider the
impact of CMV infection on long-term outcomes anymore11. At the moment, there is not enough evidence to reject the hypothesis of
indirect effects, at least while further investigations are required to address our
concerns reagrding kidney transplant recipients.
Authors: A Humar; Y Lebranchu; F Vincenti; E A Blumberg; J D Punch; A P Limaye; D Abramowicz; A G Jardine; A T Voulgari; J Ives; I A Hauser; P Peeters Journal: Am J Transplant Date: 2010-03-26 Impact factor: 8.086
Authors: Lúcio R Requião-Moura; Ana C C Matos; Kikumi S Ozaki; Niels O S Câmara; Alvaro Pacheco-Silva Journal: Clin Sci (Lond) Date: 2018-09-18 Impact factor: 6.124
Authors: Martin Stern; Hans Hirsch; Alexia Cusini; Christian van Delden; Oriol Manuel; Pascal Meylan; Katia Boggian; Nicolas J Mueller; Michael Dickenmann Journal: Transplantation Date: 2014-11-15 Impact factor: 4.939
Authors: Elias David-Neto; Ana H K Triboni; Flavio J Paula; Lucy S Vilas Boas; Clarisse M Machado; Fabiana Agena; Acram Z A Latif; Cecília S Alencar; Ligia C Pierrotti; William C Nahas; Helio H Caiaffa-Filho; Claudio S Pannuti Journal: Transplantation Date: 2014-11-27 Impact factor: 4.939