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Mitral Valve Disease Non-Randomized Completed NCT02370511

MITRAL: Complete Statistical Analysis of Transcatheter Mitral Valve Replacement in Mitral Valve Disease

An independent statistical review of the MITRAL trial evaluating transcatheter mitral valve replacement, with emphasis on its non-randomized single-group design, echocardiographic endpoints, technical success definition, and interpretation of safety across the three reported arms.

MITRAL  ·  NCT02370511  ·  Enrollment 91  ·  Completed
Scope of this record

This page provides an independent statistical analysis and educational interpretation of publicly reported results. ClinicalTrials.gov provides the official trial registry record.

1. Trial at a Glance

MITRAL evaluated transcatheter mitral valve replacement in patients with mitral valve disease. The registry describes the study as completed, non-randomized, single-group, unmasked, and treatment-focused, with 91 participants and three reported arms.

91
Enrollment
Total participants
3
Arms
Reported in the registry
2015
Start
February 25, 2015
2018
Primary completion
December 2018
FeatureMITRAL
Official titleMitral Implantation of TRAnscatheter vaLves
ConditionMitral Valve Disease
InterventionTranscatheter Mitral Valve Replacement (device)
PhaseNA
AllocationNON_RANDOMIZED
Design modelSINGLE_GROUP
MaskingNONE
Primary purposeTREATMENT
Enrollment91
Number of arms3
StatusCOMPLETED
Lead sponsorMayra Guerrero

2. Clinical Question

The clinical question can be expressed as whether transcatheter mitral valve replacement can achieve technical success, reduce clinically important mitral regurgitation, and produce an acceptable mitral valve gradient after implantation in patients with mitral valve disease.

Population

Participants enrolled in the MITRAL study with the condition listed as mitral valve disease.

Intervention

Transcatheter Mitral Valve Replacement (device).

Comparator

The registry describes the allocation as non-randomized and the design model as single-group. It therefore does not define a randomized comparator group.

Primary questions

Can the procedure achieve the registry-defined technical-success criteria, maintain absence of significant mitral regurgitation, and produce an acceptable mitral valve gradient?

3. Trial Design

01
Enroll91 participants
02
ProcedureTranscatheter mitral valve replacement
03
Technical assessmentExit from the cath lab
04
Echo assessment30 days and 1 year
05
SafetySerious adverse events
Allocation
NON_RANDOMIZED
Design model
SINGLE_GROUP
Masking
NONE
Primary purpose
TREATMENT

The registry simultaneously reports a single-group design and three arms. The arm-level safety data identify three groups: Native Mitral Valve With Severe MAC, Valve-in-Ring, and Valve-in-Valve. Because the study is explicitly described as non-randomized, those groups should not be interpreted as randomized treatment assignments.

ARM 1 · 31 AT RISK

Native Mitral Valve With Severe MAC

  • Serious adverse events: 18/31 affected / at risk
ARM 2 · 30 AT RISK

Valve-in-Ring

  • Serious adverse events: 13/30 affected / at risk
ARM 3 · 30 AT RISK

Valve-in-Valve

  • Serious adverse events: 8/30 affected / at risk
REGISTRY DESIGN

Three reported groups

  • Allocation: non-randomized
  • Design model: single group
  • Masking: none

4. Study Timeline

February 25, 2015

Study start

The registry lists February 25, 2015 as the study start date.

December 2018

Primary completion

The registry lists December 2018 as the primary completion date.

Completed

Study status

The current registry status is COMPLETED.

5. Primary Endpoints

EndpointTime frameRegistry definition
Technical Success at Exit From the Cath Lab 30 days Number of subject to achieve technical success at exit from cath lab, defined by successful vascular delivery and retrieval of transcatheter valve delivery system; deployment of single valve; correct position of transcatheter valve; adequate performance of prosthesis (MVA > 1.5 cm2) without residual MR grade ≥2 (+); no need for additional surgery or re-intervention; and patient leaves cath lab alive.
Absence of MR Grade 2 (+) or Greater 30 days and 1 year Number of subjects to have absence of MR grade 2 (+) or greater assessed with echocardiography. MR severity grading ranges from Grade 1=mild to Grade 4=severe.
Mitral Valve Gradient (MVG) 30 days and 1 year MVG assessed by echocardiography and measured in mmHg.

These endpoints represent three different statistical data structures. Technical success and absence of MR grade 2 (+) or greater are naturally treated as binary outcomes, whereas mitral valve gradient is a continuous measurement. That distinction matters because the appropriate descriptive summaries and inferential models differ by endpoint type.

6. Planned Analysis

The registry marks all three primary endpoints as having results posted. However, no formal statistical analyses are posted in the record represented here. The available registry information therefore identifies the endpoints and their definitions but does not provide endpoint-specific estimates, confidence intervals, or p-values.

Technical Success

Technical success is a composite binary endpoint: a subject either meets the complete set of technical-success criteria or does not. A natural descriptive analysis would report the number and proportion achieving technical success, with a confidence interval for that proportion when precision is required.

Binary endpoint structure
Technical success proportion = x / n

Here, x represents subjects satisfying every component of the registry-defined technical-success definition and n represents the relevant analysis population.

Absence of MR Grade 2 (+) or Greater

This endpoint is also binary. The clinically relevant classification is whether echocardiographic assessment shows absence of MR grade 2 (+) or greater. Because measurements occur at 30 days and 1 year, the two time points should be kept distinct rather than treated as though they were a single observation.

Mitral Valve Gradient

Mitral valve gradient is measured in mmHg and is therefore continuous. A typical analysis would summarize the distribution at 30 days and 1 year using a measure of central tendency and variability appropriate to the observed data. A paired analysis could be considered when the same subjects contribute measurements at both time points and the assumptions of the selected method are appropriate.

Key design issue: the study is listed as non-randomized and single-group. Consequently, statistical comparisons among the three reported groups would be observational comparisons rather than randomized treatment effects. Differences between groups could reflect underlying differences in the patients or procedures rather than an effect attributable solely to the group classification.

7. Statistical Methodology

Binary endpoint analysis

Technical success and absence of MR grade 2 (+) or greater are binary endpoints. For a single-group study, the fundamental quantity is the observed proportion. Confidence intervals can then quantify uncertainty around that proportion.

Proportion and uncertainty
p̂ = x / n

The observed proportion p̂ describes the fraction of the analysis population meeting the endpoint. An exact or other appropriate binomial confidence interval can quantify sampling uncertainty.

A confidence interval around a proportion should not be confused with a prediction about an individual patient. It describes uncertainty in the estimated population proportion under the statistical model and sampling framework.

Continuous endpoint analysis

Mitral valve gradient is measured on a continuous scale in mmHg. For such an endpoint, the mean and standard deviation may be useful when the distribution is reasonably symmetric, while the median and interquartile range can be more informative for skewed measurements.

Mean change for repeated measurements
Δ = MVG1 year − MVG30 days

When both measurements are available for the same subject, the within-subject change can be analyzed directly rather than treating the two measurements as independent observations.

Repeated measurements

The registry specifies MVG and absence of MR grade 2 (+) or greater at both 30 days and 1 year. Repeated observations create a dependence structure: measurements from the same subject are generally not statistically independent. An analysis that compares time points should account for this within-subject relationship.

Composite technical success

The technical-success endpoint is especially important statistically because it combines several procedural conditions into one outcome. Failure of any required component prevents the subject from meeting the composite definition. Consequently, a high rate of success on individual components would not automatically imply an equally high composite technical-success rate.

8. Statistical Methods Explained

Why is technical success a binary endpoint?

The registry defines technical success through a complete list of required conditions. Each subject ultimately either satisfies all listed conditions or does not. That makes the endpoint binary even though the underlying procedure contains several distinct technical steps.

Why should the technical-success components not be analyzed as though they were independent endpoints?

The components are logically connected because the registry definition requires all of them for technical success. For example, successful valve deployment alone does not constitute technical success if another required condition is not met. The composite therefore summarizes the complete procedural outcome rather than simply averaging its individual components.

Why is absence of MR grade 2 (+) or greater a binary endpoint?

The endpoint converts the echocardiographic MR severity scale into a clinically defined threshold: whether MR grade 2 (+) or greater is absent. The underlying grading system has four levels, but the endpoint itself is a yes-or-no classification.

Why is MVG analyzed differently?

MVG is measured numerically in mmHg, so it retains quantitative information rather than reducing the observation to a yes-or-no category. Continuous measurements can therefore be summarized with quantities such as means, medians, standard deviations, or other measures of dispersion.

Why do the 30-day and 1-year assessments need to remain separate?

They represent different follow-up times. A 30-day result describes an earlier post-procedure state, whereas a 1-year result describes a later state. Combining them into one proportion or average could obscure clinically meaningful changes over time.

What does the non-randomized design mean for comparisons between the three groups?

Because the registry identifies the study as non-randomized, an observed difference between Native Mitral Valve With Severe MAC, Valve-in-Ring, and Valve-in-Valve groups cannot automatically be interpreted as a causal treatment effect. Group membership may be associated with underlying clinical or procedural characteristics.

9. Results

The registry marks each of the three primary endpoints as having results posted, but the record represented here contains no posted formal statistical analyses for those endpoints. The available information therefore supports identification of the endpoint definitions and their intended follow-up periods, but not numerical endpoint estimates, confidence intervals, or p-values.

Technical Success at Exit From the Cath Lab

Registry endpoint

30 days

Technical success was defined as successful delivery and retrieval, deployment of a single valve, correct valve position, adequate prosthesis performance, no residual MR grade ≥2 (+), no additional surgery or re-intervention, and leaving the cath lab alive.

The statistical quantity of primary interest for this endpoint is the proportion of subjects meeting the complete technical-success definition. Because no endpoint estimate is included here, the record does not establish a numerical technical-success rate.

Clinical Biostats interpretation

What the endpoint means: technical success is a composite measure of whether the procedure met every requirement specified by the registry definition.

What it does not mean: it is not a measure of long-term survival, long-term valve performance, or comparative treatment efficacy.

Precision: a confidence interval around the success proportion would describe uncertainty in the estimated rate. No such interval is included in the available record.

Statistical significance: a p-value would not itself measure how large the technical-success rate was. The clinically interpretable quantity is the observed proportion, together with its uncertainty and the endpoint definition.

Absence of MR Grade 2 (+) or Greater

Registry endpoint

30 days & 1 year

Echocardiographic assessment of absence of MR grade 2 (+) or greater, using an MR severity grading system ranging from Grade 1=mild to Grade 4=severe.

This endpoint is a binary echocardiographic outcome evaluated at two specified follow-up times. The corresponding statistical summaries would normally be proportions at 30 days and 1 year, with uncertainty quantified separately for each time point.

Clinical Biostats interpretation

What the endpoint means: it asks whether a subject has avoided MR grade 2 (+) or greater at the specified assessment.

What it does not mean: absence of the threshold does not by itself summarize every aspect of valve function or establish a causal treatment effect.

Precision: confidence intervals would indicate uncertainty around the observed proportions. No numerical interval is included in the available record.

Time matters: the 30-day and 1-year assessments answer different questions and should not be interpreted as interchangeable measurements.

Mitral Valve Gradient

Registry endpoint

30 days & 1 year

Mitral valve gradient assessed by echocardiography and measured in mmHg.

MVG is a continuous endpoint. A statistical report would ordinarily describe its distribution at each time point and, where appropriate, quantify within-subject change between 30 days and 1 year.

Clinical Biostats interpretation

What the endpoint means: MVG provides a quantitative echocardiographic measurement of mitral valve gradient in mmHg.

What it does not mean: a single gradient value is not equivalent to a composite measure of procedural success or a patient-level clinical outcome.

Precision: confidence intervals around a mean, median, or change estimate would quantify uncertainty around the corresponding population quantity.

Statistical significance: a p-value for a change or comparison would answer a hypothesis-testing question; it would not describe the magnitude or clinical importance of the gradient itself.

10. Safety Results

The registry reports serious adverse events by the three named arms. These are affected / at-risk counts rather than randomized treatment comparisons.

Reported armSerious adverse eventsAt riskAffected / at risk
Native Mitral Valve With Severe MAC183118/31
Valve-in-Ring133013/30
Valve-in-Valve8308/30
Serious adverse events by reported arm
Native Mitral Valve With Severe MAC
18/31
Valve-in-Ring
13/30
Valve-in-Valve
8/30

The affected / at-risk values describe the observed number of participants with serious adverse events relative to the number at risk in each reported group. Because allocation was non-randomized, these figures should be interpreted descriptively rather than as randomized comparative safety effects.

Important distinction: a difference in observed serious-adverse-event proportions between non-randomized groups does not establish that the underlying procedural strategy caused the difference. Statistical adjustment can address measured covariates in some settings, but it cannot automatically remove bias from unmeasured differences.

11. Understanding the Three Primary Endpoints Together

EndpointData typeFollow-upCore statistical quantity
Technical Success at Exit From the Cath LabBinary composite30 daysProportion achieving all technical-success criteria
Absence of MR Grade 2 (+) or GreaterBinary echocardiographic outcome30 days and 1 yearProportion without MR grade 2 (+) or greater
Mitral Valve GradientContinuous echocardiographic measurement30 days and 1 yearDistribution and, where appropriate, change in MVG

These endpoints complement one another. Technical success addresses whether the procedure met a detailed procedural definition. Absence of MR grade 2 (+) or greater addresses residual valve regurgitation. MVG provides a quantitative measure of valve gradient. A statistically complete interpretation should keep these constructs separate rather than treating them as interchangeable measures of one underlying outcome.

12. Why the Non-Randomized Design Matters

Randomization is the principal mechanism used in comparative trials to balance both measured and unmeasured prognostic factors, on average, between treatment groups. MITRAL is registered as NON_RANDOMIZED with a SINGLE_GROUP design. That changes the interpretation of any comparison between its three reported groups.

Descriptive comparison

The three groups can be described in terms of observed safety or outcome measures. Such comparisons are useful for characterizing the study population and observed outcomes.

Causal comparison

A causal statement that one group produced better outcomes than another requires stronger assumptions because group membership was not assigned randomly.

Confounding

Differences in baseline clinical characteristics or procedural circumstances could contribute to differences in observed outcomes between groups.

Statistical adjustment

Regression or other adjustment methods can account for measured covariates, but adjustment does not guarantee removal of unmeasured confounding.

13. Interpreting Confidence Intervals and P-Values

No endpoint-specific confidence intervals or p-values are included in the statistical analyses represented by this record. Nevertheless, understanding their roles is important when interpreting this type of study.

Confidence interval
Estimate ± uncertainty

A confidence interval communicates statistical precision around an estimated quantity. Its width depends on factors such as sample size and variability; it does not describe the range of outcomes that every individual participant will experience.

For a binary endpoint such as technical success, the confidence interval would describe uncertainty around the estimated proportion. For MVG, it could describe uncertainty around a mean, median-related quantity, or mean change depending on the analysis.

P-value
P-value ≠ effect size

A p-value quantifies how incompatible the observed data are with a specified null hypothesis under the assumptions of the test. It does not tell the reader how clinically important an observed effect is.

In a non-randomized study, a small p-value for a between-group comparison would also not by itself convert an observational association into a randomized causal effect.

14. Analysis Population and Missing Measurements

The registry information identifies an overall enrollment of 91 and arm-specific safety denominators of 31, 30, and 30. It does not provide a separate definition of an endpoint-specific analysis population or a formal missing-data strategy.

This distinction matters particularly for the 30-day and 1-year echocardiographic endpoints. If some participants lack an assessment at one of these time points, the denominator used for the analysis becomes an important part of the interpretation. The statistical meaning of an observed proportion depends on precisely which subjects are included.

Denominator discipline matters: an affected / at-risk safety count, an enrolled population, and an endpoint-specific evaluable population are not necessarily the same quantity. Each result should be interpreted using the denominator appropriate to the endpoint and analysis population.

15. Repeated Echocardiographic Assessment

The registry specifies echocardiographic assessment of MR at 30 days and 1 year and assessment of MVG at the same two time points. When the same participant contributes measurements at both times, the observations are paired within subject.

Cross-sectional question

What is the distribution or proportion at 30 days, considered independently of the 1-year measurement?

Longitudinal question

How does the measurement change from 30 days to 1 year within the same participants?

These questions require different statistical structures. Treating paired observations as independent can underestimate uncertainty because it ignores the correlation between repeated measurements from the same subject.

16. Statistical Interpretation of Safety Across the Three Groups

The reported serious-adverse-event counts are 18/31 for Native Mitral Valve With Severe MAC, 13/30 for Valve-in-Ring, and 8/30 for Valve-in-Valve. The denominators are close in size, but similar denominators do not remove the fundamental limitation created by non-randomized group assignment.

The most defensible descriptive statement is that the registry reports different observed serious-adverse-event frequencies across the three groups. A causal interpretation would require additional assumptions and information about differences between the groups.

Statistical interpretation

The three affected / at-risk counts summarize observed safety experience within each reported group. They do not, by themselves, estimate a causal treatment effect, establish statistical significance, or quantify the probability that one procedural strategy is safer than another.

17. Limitations

18. Why This Trial Matters Statistically

MITRAL is a useful statistical teaching case because its endpoints illustrate several important principles of clinical-trial analysis without relying on a randomized treatment comparison. It demonstrates how procedural success, echocardiographic outcomes, repeated measurements, and safety counts require different statistical approaches.

ConceptHow it appears in MITRAL
Non-randomized designThe registry identifies allocation as NON_RANDOMIZED.
Single-group designThe registry identifies the design model as SINGLE_GROUP.
Binary endpointTechnical success and absence of MR grade 2 (+) or greater are naturally binary outcomes.
Composite endpointTechnical success requires multiple procedural criteria to be satisfied simultaneously.
Continuous endpointMitral valve gradient is measured quantitatively in mmHg.
Repeated measuresMR and MVG are assessed at both 30 days and 1 year.
Confidence intervalsWould quantify uncertainty around binary proportions or continuous estimates.
Safety denominatorsSerious adverse events are reported as affected / at-risk counts by group.
ConfoundingNon-randomized group membership limits causal interpretation of between-group differences.
Endpoint hierarchyTechnical success, MR, and MVG measure distinct aspects of procedural and post-procedure performance.

19. Statistical Concepts in This Trial

20. Related Statistical Calculators

21. Sources

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22. Record Summary

MITRAL provides a useful example of how statistical interpretation changes when a clinical study is non-randomized and registered as a single-group design. Its three primary endpoints span a composite binary procedural outcome, a binary echocardiographic outcome, and a continuous echocardiographic measurement. The 30-day and 1-year assessments additionally introduce a longitudinal dimension, while the serious-adverse-event counts illustrate the importance of keeping observed safety frequencies separate from causal comparisons.

The key statistical lesson is that the endpoint determines the analysis structure. Technical success is naturally summarized as a proportion; absence of MR grade 2 (+) or greater is another binary outcome requiring time-specific denominators; and MVG is a continuous measurement that can be evaluated cross-sectionally or through within-subject change. At the same time, the non-randomized design means that comparisons among the three reported groups should remain descriptive unless stronger causal assumptions and appropriate adjustment methods are justified.

Clinical Biostats methodology: A rigorous trial-results analysis distinguishes the observed endpoint definition from the statistical question being asked, preserves the study's design structure, keeps denominators explicit, and separates descriptive associations from causal treatment effects.