Leadless Pacemaker
6-Minute Walk Test
RRT/EOS

Question & Answer

Question

Do heart-rate dynamics during the 6-minute walk test (resting HR, peak HR, HR reserve, chronotropic index, recovery at 1 and 3 minutes) differ when the same patient is tested (a) at RRT/EOS and (b) 2–6 weeks after device replacement, and do these variables mediate the relationship between LP status and 6MWD?

Answer (Study-Ready Plan & Mediation Framework)

TL;DR

In a paired, within-patient design, expect blunted chronotropic response and slower HR recovery at RRT/EOS compared with 2–6 weeks post-replacement. Model shows that improved HR dynamics after replacement partly mediate the increase in 6MWD. Use mixed-effects models for the repeated measures and causal mediation with bootstrap CIs for the indirect effect.

1) Design & Timing

2) HR Dynamic Metrics

Resting & Peak HR

Measured by ECG/oximeter immediately before start and at walk end.

HR Reserve

HR_reserve = HR_peak − HR_rest

Captures the absolute chronotropic rise during submax exertion.

Chronotropic Index (CI)

CI = (HR_peak − HR_rest) / (HR_pred − HR_rest)

Use a prespecified HRpred (e.g., Tanaka: 208 − 0.7×age) and keep it constant across both tests.

HR Recovery (HRR)

HRR1 = HR_peak − HR_1min,  HRR3 = HR_peak − HR_3min

Larger values = faster recovery (better autonomic tone/fitness).

3) Primary Hypotheses (Directionality)

4) Analysis Plan

  1. Change scores: For each metric compute Δ = Post-replacement − RRT/EOS.
  2. Mixed models: Linear mixed-effects with random intercept for subject to test LP status effect on each HR metric and on 6MWD.
    Outcome ~ LP_status (RRT/EOS vs Post) + covariates + (1 | subject)
  3. Mediation model: LP_status → (mediator: CI or HR_reserve and HRR) → 6MWD.
    • Use causal mediation (parametric or nonparametric) with within-subject changes.
    • Estimate indirect effect (IE) via bootstrap (e.g., 5,000 resamples); report IE, direct effect (DE), and proportion mediated.
  4. Adjustment set (prespecified): age, sex, BMI, β-blocker dose, hemoglobin, eGFR, LVEF, lower-rate limit, rate-response slope/sensitivity, capture threshold.
  5. Multiplicity: Control FDR across HR mediators or pick a primary mediator (CI) and relegate others to secondary analyses.

5) Effect Size & Interpretation

6) Practical Protocol

  1. Standardize 6MWT (ATS-style corridor, scripted encouragement, 2 cones, timers).
  2. Record HR at: pre-walk (seated 2–3 min), stop, +1 min, +3 min.
  3. Export device/EGM traces if available to verify capture and any backup/safety behaviors.
  4. Keep prediction equations and device programming documentation consistent between visits.
  5. Note intercurrent changes (illness, med titration, anemia) that could bias HR dynamics.

7) Reporting Template

RRT/EOS vs Post-Replacement (paired)
Rest HR: ____ vs ____ bpm
Peak HR: ____ vs ____ bpm
HR_reserve: ____ vs ____ bpm
CI: ____ vs ____
HRR1: ____ vs ____ bpm; HRR3: ____ vs ____ bpm
6MWD: ____ m vs ____ m

Mediation (primary mediator: CI)
Indirect effect (IE): ____ m (95% CI ____ to ____)
Direct effect (DE): ____ m (95% CI ____ to ____)
Proportion mediated: ____ %

8) Caveats

Prepared for clinical research/quality improvement; align with local policy and vendor/device guidance.