Antonella Meloni1, Laura Pistoia1, Pietro Giuliano2, Nicola Giunta2, Nicolò Schicchi3, Emanuele Grassedonio4, Stefania Renne5, Vincenzo Positano1, Lorella Pitrolo6, Maria Grazia Roberti7, Paola Maria Grazia Sanna8, Filippo Cademartiri1, and Alessia Pepe1
1Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy, 2"ARNAS" Civico, Di Cristina Benfratelli, Palermo, Italy, 3Azienda Ospedaliero-Universitaria Ospedali Riuniti "Umberto I-Lancisi-Salesi", Ancona, Italy, 4Policlinico "Paolo Giaccone", Palermo, Italy, 5Presidio Ospedaliero “Giovanni Paolo II”, Lamezia Terme (CZ), Italy, 6Ospedale "V. Cervello", Palermo, Italy, 7Azienda Ospedaliero-Universitaria OO.RR. Foggia, Foggia, Italy, 8Azienda Ospedaliero-Universitaria di Sassari, Sassari, Italy
Synopsis
Seven-hundred and nine patients with
thalassemia major who performed a baseline and a 1st follow-up CMR scan after
18 months were followed prospectively in order to evaluate the predictive value
of changes in CMR parameters (myocardial iron, biventricular function, and replacement
myocardial fibrosis) for cardiac complications.
During a mean follow-up of 89.4±33.3
months, cardiac events (heart failure, arrhythmias, and pulmonary hypertension)
were recorded in 7.1% of patients. In the univariate Cox regression analysis,
cardiac iron clearance and replacement myocardial fibrosis were identified as
univariate prognosticators but in the multivariate analysis only myocardial
fibrosis remained an independent predictor factor.
Introduction
Cardiovascular
magnetic Resonance (CMR) has
dramatically changed the clinical practice and improved the prognosis in
thalassemia major (TM)1,2.
This
is the first study evaluating the predictive value of changes in CMR parameters (myocardial iron, function,
and fibrosis) for cardiac complications in TM.Methods
We followed
prospectively 709 TM patients (374 females; 29.77±8.53 years) consecutively
enrolled in the Myocardial Iron Overload in Thalassemia (MIOT) Network who
performed a baseline and a 1st follow up CMR scan after 18 months.
Myocardial iron overload (MIO) was measured by multislice multiecho
T2* technique3 and atrial dimensions and
biventricular function by cine images4. Replacement myocardial fibrosis
was detected by late gadolinium enhancement technique5.
Risk classes were defined based on the 4 patterns of MIO from worst to normal. For
patients with baseline MIO (at least one segmental T2*<20 ms), improvement
was defined as a transition to a better risk class, stabilization as no change in risk class, and worsening as a transition to a worse risk class.
For patients without baseline MIO, the worsening was the transition to a worse
risk class.
The percentage change was used for continuous
variables. For biventricular ejection fractions, improvement was a %change>10%,
stabilization a %change between -10% and 10%, and worsening a %change<-10%. For
biventricular volumes, LV mass index, and atrial areas, improvement was a % change<-10%,
stabilization a % change between -10% and 10%, and worsening a % change>10%.
Replacement myocardial fibrosis was considered
absent if not detected in any of the two CMRs and present if detected in at
least one examination.Results
During a mean follow-up of 89.4±33.3 months, cardiac events
were recorded in 50 (7.1%) patients: 24 (48%) episodes of heart failure, 24
(48%) arrhythmias (23 supraventricular and 1 hypokinetic), and 2 (4.0%) pulmonary
hypertension. Mean time from the 1st follow up CMR to the development of a
cardiac complication was 75.31±35.35 months.
In the univariate Cox regression analysis, cardiac
iron clearance and replacement myocardial fibrosis were identified as univariate prognosticators (Table
1). In the multivariate analysis only myocardial fibrosis remained an independent
predictor factor. Conclusions
The presence of replacement myocardial fibrosis at the
baseline CMR or developed within 18 months emerges as the strongest long-term predictor
for cardiac
complications in TM. Our data demonstrate the
importance in using the contrast medium for CMR scans in thalassemia
patients. Acknowledgements
We thank all the colleagues of the
MIOT Network (https://miot.ftgm.it) and all patients for their
cooperation.References
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