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SUPPLEMENTAL DATA

Supplemental Table 1: Baseline characteristics of patients with missing data that were excluded from the final analytic cohort versus those included

Supplemental Table 2: Adjusted mortality hazard ratios with 95% CI for female gender in the analytic cohort (patients with no missing data) and imputed dataset

Supplemental Table 3: Mediation analysis results reported as total effect and indirect effect of female gender on mortality

Supplemental data: E-value for association of female gender with early mortality

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Supplemental Table 1 Baseline characteristics of patients with missing data that were excluded from the final analytic cohort versus those included

Patients with missing data

(n=5,933)

Analytic cohort (n=9,565)

P-value

Age at implant, years 55.58 (13.14) 56.23 (13.15) 0.003

Female gender 1,159 (19.5%) 2,066 (21.6%) 0.002

Body Surface Area, m2 2.03 (0.30) 2.06 (0.32) <0.001

Centrifugal Pump 2,589 (43.6%) 2,972 (31.1%) <0.001

Ischemic heart failure etiology 1,931 (42.1%) 3,765 (39.4%) 0.002 Cardiogenic Shock at implant

(INTERMACS 1 and 2 vs. profiles 3-7)

1,094 (18.7%) 1,282 (13.4%) <0.001

Serum Sodium, meq/L 135.69 (5.43) 134.97 (4.63) <0.001

BUN, mg/dL 35.07 (28.81) 29.24 (19.28) <0.001

Hemoglobin, gm/dL 11.60 (6.29) 11.38 (2.32) 0.002

INR 1.40 (0.55) 1.31 (0.40) <0.002

Total Bilirubin, mg/dL 1.53 (2.47) 1.31 (1.40) <0.001

Stages of CKD

• 1-2

• 3A

• 3B

• 4-5

2,907 (51.3%) 1,279 (22.6%) 1,043 (18.4%) 434 (7.7%)

4,901 (51.2%) 2,311 (24.2%) 1,754 (18.3%) 599 (6.2%)

<0.001

MELD score 11.99 (6.55) 11.39 (5.72) <0.001

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3 Heart Mate 2 Risk Score category

• Low Risk

• Medium Risk

• High Risk

1,926 (49.8%) 1,279 (33.1%) 659 (17.1%)

5,236 (54.7%) 3,109 (32.5%) 1,220 (12.8%)

<0.001

PA Diastolic Pressure, mm Hg 25.08 (9.54) 25.03 (8.92) 0.79

Cardiac Index, L/min/m2 2.05 (0.68) 2.04 (0.67) 0.46

BUN: Blood Urea Nitrogen; CKD stage: Chronic Kidney Disease Stage; INR: International Normalized Ratio; INTERMACS Profile: Interagency Registry for

Mechanical Circulatory Support Profile; MELD score: Model for End Stage Liver Disease score;

PA Diastolic Pressure: Pulmonary Artery Diastolic Pressure

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Supplemental Table 2 Adjusted mortality hazard ratios with 95% CI for female gender in the analytic cohort (patients with no missing data) and imputed dataset

Analytic cohort (n=9,565) Imputed dataset* (n=15,498)

HR [95% CI] P-value HR [95% CI] P-value

Over entire follow-up duration 1.36 [1.21 - 1.53] <0.0001 1.39 [1.27 - 1.53] <0.0001

Gender*follow-up time interaction NA 0.02 NA 0.006

In the first 4 months after implant 1.74 [1.47 - 2.06] <0.0001 1.73 [1.51 - 1.97] <0.0001 Landmark analysis after 4 months 1.12 [0.96 - 1.31] 0.16 1.18 [1.05 - 1.34] 0.007

*Results from five imputed data sets were aggregated following Rubin’s rules.

Adjusted mortality hazard ratios with 95% CI for female gender in the analytic cohort (patients with no missing data) and imputed dataset, adjusted for age, BSA, etiology of HF, pump type, presence of cardiogenic shock at implant (INTERMACS profiles 1 and 2 vs. profiles 3-7), serum sodium, BUN, total bilirubin, INR, Hemoglobin, CKD stage, MELD score, HMRS, PADP and CI.

BUN: Blood Urea Nitrogen; CKD stage: Chronic Kidney Disease Stage; INR: International Normalized Ratio; INTERMACS Profile:

Interagency Registry for Mechanical Circulatory Support Profile; MELD score: Model for End Stage Liver Disease score; PA Diastolic Pressure: Pulmonary Artery Diastolic Pressure

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Supplemental Table 3 Mediation analysis results reported as total effect and indirect effect

Mediator Total Effect Indirect Effect

Estimate P-value* Estimate P-value*

Time since cardiac diagnosis < 2 years -180.00 <0.0001 0.88 0.48 Pre-implant medical/device therapy

ICD -165.00 <0.0001 0.55 0.76

CRT -165.00 <0.0001 1.65 0.14

Aldosterone Antagonist -194.00 <0.0001 -2.69 0.07

Inotropes -148.00 <0.0001 -0.009 0.98

Amiodarone -161.00 <0.0001 -2.13 0.35

Pre-implant Echocardiographic data

Moderate to Severe MR -192.68 <0.0001 4.00 0.05

Moderate to Severe TR -183.00 <0.0001 -8.94 0.002

LV End Diastolic Diameter, cm -191.83 <0.0001 -32.12 <0.0001

Qualitative RV Function -161.00 <0.0001 -0.11 0.91

Pre-implant Inflammatory markers

Platelet count, x103/uL -181.00 <0.0001 2.84 0.01

Uric Acid, mg/dL -205.00 <0.0001 1.71 0.58

Lymphocyte count, % -174.29 <0.0001 3.97 0.09

Psychosocial and socioeconomic

Severe Depression -161.00 <0.0001 0.57 0.91

Other Major Psychiatric Disorder -158.00 <0.0001 -0.19 0.90

Marital status -280.76 <0.0001 8.51 0.09

Working for income -206.00 <0.0001 -4.26 0.08

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6 Comorbidities

Solid Organ Cancer -173.00 <0.0001 -2.04 0.03

Recent Pulmonary Embolism -163.00 <0.0001 4.14 0.38

Lymphoma or Leukemia -162.00 <0.0001 -0.15 0.90

*A raw P-value <0.0025 meets Bonferroni corrected P-value significance

Bonferroni corrected P-value significant

Accelerated Failure Time (AFT) mediation analysis results are decomposed into the total effect of female gender on mortality (path ab + c in the figure below), and the indirect effect mediated via the mediator (path ab in the figure below). In the AFT model, negative estimates indicate shorter survival time, ie increased hazard of death.

All models are adjusted for age, BSA, etiology of HF, pump type, presence of cardiogenic shock at implant (INTERMACS profiles 1 and 2 vs. profiles 3-7), serum sodium, BUN, total bilirubin, INR, hemoglobin, CKD stage, MELD score, HMRS, PADP and CI.

BUN: Blood Urea Nitrogen; CKD stage: Chronic Kidney Disease Stage; CRT: Cardiac Resynchronization Therapy; ICD: Implantable Cardioverter-Defibrillator; INR: International Normalized Ratio; INTERMACS Profile: Interagency Registry for

Mechanical Circulatory Support Profile; LVEDD: Left Ventricular End Diastolic Diameter; MELD score: Model for End Stage Liver Disease score; MR: Mitral Regurgitation; PA Diastolic

Pressure: Pulmonary Artery Diastolic Pressure; TR: Tricuspid Regurgitation

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Supplemental data E-value for association of female gender with early mortality

The E-value is defined as the minimum strength of association that an unmeasured confounder would need to have with both the exposure and the outcome to fully explain away the exposure- outcome association, conditional on the measured covariates.1 It is suggested that all

observational studies reporting evidence on causality include an E-value, in order to allow the scientific community to interpret findings in the context of a non-randomized study design.1,2 In the analysis of the association between female gender and early mortality, the observed hazard ratio of 1.74 could be explained away by an unmeasured confounder that was associated with both female gender and early mortality by a risk ratio of 2.29, above and beyond the measured confounders, but weaker confounding could not do so. Similarly, the corresponding confidence intervals could be moved to include the null by an unmeasured confounder that was associated with both female gender and early mortality by a risk ratio of 1.94, above and beyond the measured confounders, but weaker confounding could not do so.

Supplemental Reference

1. VanderWeele TJ, Ding P. Sensitivity Analysis in Observational Research: Introducing the E-Value. Ann Intern Med. 2017;167:268-274.

2. Haneuse S, VanderWeele TJ, Arterburn D. Using the E-value to assess the potential effect of unmeasured confounding in observational studies. Jama. 2019;321(6):602-3.

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