Circulation. 1999;99:655-658
(Circulation. 1999;99:655-658.)
© 1999 American Heart Association, Inc.
Clinical Investigation and Reports |
First Redo Heart Valve Replacement
A 10-Year Analysis
Arjuna Weerasinghe, MRCP, FRCS;
Maria-Benedicta Edwards, MPhil;
Kenneth M. Taylor, MD, FRCS
From the Department of Cardiothoracic Surgery (A.W., K.M.T.) and the
United Kingdom Heart Valve Registry (M.-B.E.), Hammersmith Hospital, London,
UK.
Correspondence to Arjuna Weerasinghe, Department of Cardiothoracic Surgery, Hammersmith Hospital, Du Cane Rd, London W12 OHS, UK. E-mail aweerasinghe{at}rpms.ac.uk
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Abstract
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BackgroundThe United
Kingdom Heart Valve Registry (UKHVR)
has recently completed collecting
information on 52 659 heart
valve replacements (in 47 718 patients)
performed during the
period 1986 to 1995 in the whole of the United
Kingdom. Information
stored in the UKHVR's computer database was used
for this study.
Factors affecting the time from first
prosthesis to first redo
prosthesis were
analyzed and provided useful predictive information.
The
association between prosthesis-induced local pathological
processes
and redo valve size was investigated.
Methods and ResultsThis is a retrospective study of
43 301 patients (from among 47 718 in the database) undergoing
single-site replacement of a diseased native mitral or aortic valve
over a 10-year period from January 1986 to December 1995 in the United
Kingdom. Of these patients, 1051 (2.43%) went on to have a first redo
heart valve replacement. Valve survival analysis (Cox
regression and Kaplan-Meier curves) was used to study the natural
progression to the first redo heart valve replacement. Female sex and
having a replacement at the aortic rather than the mitral position were
both associated with a longer interval to the first redo operation.
Regression analysis showed the size of the redo valve to be
influenced by the interoperative time. This effect was more pronounced
at the mitral position.
ConclusionsFemales and patients having an aortic valve
replacement exhibit a longer interval to the first redo operation than
do males and patients having mitral valve replacements, respectively.
The time from the first replacement to the first redo operation
significantly affects the size of the first redo valve.
Key Words: prosthesis valves surgery
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Introduction
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Extensive advances have been made in cardiac valve
surgery since
the first artificial valve replacements of the early
1950s.
1 2 3 Improved survival after the first operation has
meant that
more patients ultimately require a redo operation at the
same
site. The present study aimed to gain insights into the
natural
progression from the first implantation of a heart valve
prosthesis
to the first time it needs to be replaced (first
redo operation).
We present the following specific hypotheses under
study: (1)
The interoperative time is influenced by the patient's age
and
sex as well as by the valve site and type. (2) Thrombosis,
calcification,
and scarring occurring around the first
prosthesis influence
the size of the first redo valve. Thus,
our approach differs
from previous studies that have focused primarily
on morbidity
and mortality.
4 5 6 7
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Methods
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The United Kingdom Heart Valve Registry based at the Hammersmith
Hospital
in London maintains a computer database on all heart valve
replacement
operations performed within UK National Health Service
hospitals.
8 The present study is drawn from 47 718
patients who underwent
replacement of a diseased native mitral or
aortic valve over
a 10-year period from January 1986 to December 1995.
More than
1 valve site was operated on at their first operation in 4417
patients.
Because this group is a distinct and different subpopulation,
we
excluded such patients from the present study. There were
43
301 patients who had a single valve replaced at their first
operation.
Of these, 1051 patients subsequently required redo valve
replacement
and formed the study group. The remaining 42 250
constituted
the control group in testing the first hypothesis. During
the
period under study, demographic details, sex, age at operation,
valve
type (biological or mechanical), and valve size were
recorded.
The valve pathology requiring initial replacement was not
available
for the study.
Valve Survival Analysis
Cox regression and Kaplan-Meier curves were used to test
the first hypothesis regarding the time interval to the first redo
operation. The interoperative time for the study group was taken to be
the time between the first operation and the redo operation. For the
control group, valve survival time was calculated as the time between
operation and the follow-up date, which was fixed at June 30, 1996. The
date of death or date of last follow-up was used in the event of death
or loss to follow-up before the fixed date. Where the patient had a
redo operation on the date of first operation, the interoperative time
was considered as 1 day to enable analysis of the data. Because
patients having their first operation later in the study period would
naturally have been followed up for a shorter period, Cox regression
was adjusted for the year of operation. Patients were also
analyzed by age (<70 years of age or
70 years). Cox
regression was performed first for each factor separately, then for
each factor adjusted for year of operation, and finally, all factors
were included in the model together.
Regression Analysis
Regression analysis was used to test the second
hypothesis, which postulated a change in valve size. The size of the
valve at the redo operation was taken as the outcome and regressed on
the available explanatory variables (position, first valve size and
type, age at first operation, and interoperative time). The year of
operation was used as an indicator variable in the form of 2 groups
(1986 through 1990 and 1991 through 1995). Univariate and
multivariate analyses with backward and forward
selection were used at the 5% level of significance.
All statistical analysis was performed with Stata 5 software
(Stata Corporation).
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Results
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Demographic Features
The demographic characteristics of both the control and study
populations
are outlined in Table 1


.
Valve Survival Analysis for Testing the First
Hypothesis
Initial univariate survival analysis
with Cox regression showed that the age group and sex as well as the
valve type and site influence survival. As expected, patients having an
operation during the latter 5 years of the study were less likely to
have a redo operation (33% less likely), which was related to the
shorter follow-up time. Correction for the year of operation did not
change the contribution of each variable significantly. Subsequent
multivariate analysis (Table 2
) showed that the valve type was not a
significant predictor of survival. Males were 1.5 (1/0.68) times more
likely to have a redo operation than females. A mitral valve was twice
(2.18 times) as likely to be replaced as an aortic valve. Age <70
years doubled the risk of reoperation (1/0.49). This result, as well as
the previous observation that having the first operation in the latter
5 years of the study was associated with a decreased risk of
reoperation, is likely to be influenced by the design of the study, and
both observations are further addressed in the Discussion.
Regression Analysis for Testing the Second
Hypothesis
Age and valve type did not predict the size of the redo valve. The
year of operation had no association with the redo valve size. Size at
first operation, site, and time were strong predictors of redo valve
size (Table 3
). The regression equation
is as follows (adjusted R2=0.75):
where aortic site=0 and mitral
site=1.
In investigating the second hypothesis, we looked for an
association between site and time (the reasons for this are addressed
in the Discussion). The significance of the variables in this model
is given in Table 4
. The regression
equation is as follows (adjusted
R2=0.75):
where aortic site=0 and mitral site=1.
When this is presented for each position,
Thus, we see that the interoperative time has a greater influence
on the size of the first redo prosthesis at the mitral
position.
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Discussion
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Increasing numbers of patients receiving a
prosthetic heart
valve are surviving long enough to require
replacement prostheses.
Improved management of
nonprosthesis-related complications has
led to this occurrence.
In the present study, we focused on
the first replacement of a
prosthetic valve because this is
the largest group having a
redo valve operation.
On testing of the first hypothesis, we observed the effect of
gender, with females having a longer interoperative time. The
difference between females and males is significant from the moment
that a prosthetic valve is inserted, as seen in Figure 1
. The difference in valve survival
between aortic and mitral prostheses is even more pronounced. This
difference manifests primarily after the 2000th day of valve survival,
as seen in Figure 2
. Fann et
al9 presented comparable results from their study
on porcine bioprostheses. They found a higher incidence of structural
valve deterioration at the mitral site. However, our results show that
the valve type (biological or mechanical) does not influence the time
interval to the first redo operation.

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Figure 1. Kaplan-Meier curve showing difference by gender in
artificial valve survival (interoperative time) between first and first
redo operations, adjusted for age group, site, and year-of-operation
group.
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Figure 2. Kaplan-Meier curve showing difference by position
in artificial valve survival (interoperative time) between first and
first redo operations, adjusted for age group, sex, and
year-of-operation group.
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Next, we addressed how the age and year of operation bias the
valve survival analysis. In our results, patients
70 years of
age were seen to have a lower risk of reoperation. This is likely due
to a higher risk of death in this group before the need for
replacement of their prosthesis. Similarly, because the
patients in the latter half of the time period under study (1991
to 1995) had a shorter follow-up time, they were less likely to have
reached the point at which a redo operation was required. This explains
the apparently lower risk of reoperation in this group.
The processes of thrombosis, fibrosis, and calcification around
the first prosthesis, which we postulate, increase with time
and are likely to differ between aortic and mitral sites. Hence, we
tested the validity of our hypothesis by including an interaction
between time and valve site in the model. Time was confirmed to be a
significant factor, with the effect being more pronounced at the mitral
site. Clinically, we are aware of the greater diameter and lower
pressure generated across the mitral valve site, which may confer an
increased risk of thrombosis at this site. With time, organization of
these thrombi leads to local fibrosis and calcification, which in turn
will influence the size of the redo valve size. Thus, this finding is
potentially clinically explainable.
We hope the results of this study will help in prognostic
guidance and in improving our understanding of the localized pathology
induced by a prosthetic heart valve.
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Acknowledgments
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We are grateful to all personnel involved with the United
Kingdom
Heart Valve Registry for assimilating and maintaining the
national
database on which this study is based. All participating
hospitals
do so on a voluntary basis, and we wish to individually thank
the
following centers of cardiac surgery for their contribution
to the
database: Aberdeen Royal Infirmary, Broadgreen Cardiothoracic
Center,
Brook General Hospital, Castle Hill Hospital, Edinburgh
Royal
Infirmary, Freeman Group of Hospitals, Glasgow Royal Infirmary,
Glenfield
General Hospital, Guy's Hospital, Hammersmith Hospital,
Harefield
Hospital, John Radcliff Hospital, Killingbeck Hospital, Kings
College
Hospital, Leeds General Infirmary, London Chest Hospital,
Manchester
Royal Infirmary, Middlesex Hospital, Northern General
Hospital,
North Staffordshire Royal Infirmary, Nottingham City
Hospital,
Papworth Hospital, Queen Elizabeth Hospital, Royal Brompton
Hospital,
Royal London Hospital, Royal Victoria Hospital, South
Cleveland
Hospital, St Bartholomew's Hospital, St George's Hospital,
St
Mary's Hospital, St Thomas Hospital, Southampton General
Hospital,
United Bristol Health Care Trust, University Hospital of
Wales,
Victoria Hospital, Walsgrave Hospital, Western Infirmary, and
Wythenshawe
Hospital. Amy Hider of the Department of Statistics at the
Imperial
College School of Science, Technology and Medicine, University
of
London has been of great assistance in giving us statistical
guidance.
We thank her for her contribution.
Received July 28, 1998;
revision received October 5, 1998;
accepted October 22, 1998.
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