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. 2019 Jun 6;11:385–393. doi: 10.2147/CEOR.S205501

Table 1.

Base case model parameters

Input parameter Base case (low, high) Distribution (parameters*) Source
Clinical inputs
Pacing related parameters
 Probability of AF 0.121 (95% CI: 0.109, 0.132) Beta (7, 51) Hernandez-Madrid et al18
 Probability of conduction latency 0.059 (95% CI: 0.051, 0.068) Beta (3.5, 55.5) Hernandez-Madrid et al18
 Probability of PVC 0.138 (95% CI: 0.126, 0.15) Beta (8, 50) Hernandez-Madrid et al18
 Probability of variable AV nodal conduction 0.042 (95% CI: 0.035, 0.050) Beta (2.5, 56.5) Hernandez-Madrid et al18
 Probability of intermittent loss of capture 0.025 (95% CI: 0.020, 0.031) Beta (1.5, 57.5) Hernandez-Madrid et al18
 % effective pacing with no pacing disruption 0.951 (95% CI: 0.949, 0.953) Beta (727.38, 37.68) Hernandez-Madrid et al18
 Baseline % effective pacing with AF 0.695 (95% CI: 0.598, 0.953) Beta (0.51, 0.22) Hernandez-Madrid et al18
 % effective pacing with conduction latency 0.026 (95% CI: 0.0248, 0.027) Beta (41.55, 1,564.73) Hernandez-Madrid et al18
 % effective pacing with PVC 0.719 (95% CI: 0.705, 0.733) Beta (55.3, 21.59) Hernandez-Madrid et al18
 % effective pacing with variable AV nodal conduction 0.396 (95% CI: 0.379, 0.413) Beta (25.37, 38.65) Hernandez-Madrid et al18
 % effective pacing with intermittent loss of capture 0.871 (95% CI: 0.834, 0.908) Beta (4.62, 0.68) Hernandez-Madrid et al18
Healthcare utilization
 Baseline hazard of HF hospitalization per month 0.02 (±25%: 0.015, 0.025) LogNormal (−1.69, 0.02) Mealing et al22
 Hazard ratio for risk of HF hospitalization associated with each % increase in ventricular pacing 0.977 (95% CI: 0.965, 0.990) Normal (0.977, 0.04) Hayes et al23
Cost inputs (US$)
Cost of a HF hospitalization $15,770 (±25%: $11,828, $19,213) Gamma (1.04, 0.0001) Medicare (2014–2016)

Note: *Parameters: Beta (alpha, beta), lognormal (log (mean), log (standard deviation)) and Gamma (shape, scale).