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JACC: Advances logoLink to JACC: Advances
. 2024 Jan 11;3(2):100817. doi: 10.1016/j.jacadv.2023.100817

Sex-Based Differences in Patients With Left Ventricular-Assisted Devices and Strokes

Salma Zook a,, Otito Ojukwu b,, Safi U Khan a, Abdul Mannan Khan Minhas c, Harveen K Lamba d, Katelyn E Ingram a, Mahwash Kassi a,
PMCID: PMC11198329  PMID: 38939388

Abstract

Background

Sex-based differences in clinical outcomes among patients with stroke related to left ventricular assist devices (LVADs) are not well described.

Objectives

In this study, the authors examined differences in clinical characteristics and outcomes in men and women who had a stroke during LVAD hospitalization.

Methods

The National Inpatient Sample from 2010 and 2019 was used to identify patients with stroke during LVAD hospitalization. Outcomes of interest include inpatient mortality and clinical complications among men vs women. Weighted logistic regression was used to determine the association of sex and outcomes. Adjustments were made for age and the Elixhauser comorbidity index.

Results

In total, 35,820 patients underwent LVAD implantation (77% men), and 6.12% (n = 2,192) of patients experienced stroke. Women who had stroke were younger than men who had stroke (mean age in women was 51 years vs men 59 years, P < 0.001). Men with strokes had a higher burden of comorbidities than women. While there were no differences in the odds of ischemic stroke, women had higher odds of hemorrhagic stroke compared to men (OR: 1.49 [95% CI: 1.02-2.18]). Mortality in patients with LVAD who had stroke was significantly higher than in those without stroke. Between 2010 and 2019, stroke rates significantly increased among men, while the trend remained variable among women.

Conclusions

In this national cohort, men had a higher comorbidity burden and had worsening stroke trends over the last decade compared to women. Women had fewer LVAD implants and a higher incidence of hemorrhagic stroke. Understanding the factors that contribute to sex-related outcome disparities among LVAD stroke patients is crucial in addressing these diverging trends.

Key words: heart failure, hemorrhagic stroke, left ventricular assisted device, LVAD, sex difference, stroke

Central Illustration

graphic file with name ga1.jpg


Despite advancements in medicine, there is an overbearing burden on patients with heart failure with a concomitant rise in patients with advanced heart failure requiring either left ventricular assist devices (LVADs) or transplant.1,2 The Society of Thoracic Surgeons Interagency Registry for Mechanically Assisted Circulatory Support (Intermacs) 2020 report indicates a promising future for LVAD with average survival now approaching 5 years. A record number of over 2,400 LVADs were implanted in 2021.2 However, LVAD-related adverse events, particularly stroke, major infections, and multiorgan failure, contribute to over 50% of LVAD-related deaths.1,2 The risk for LVAD-related complications remains highest in the early postoperative phase (<90 days).1 Stroke remains the primary cause of death among patients with LVAD; approximately 13% of individuals will experience a stroke within a year of implantation.3,4 It is imperative to identify patient populations that are at the highest-risk of adverse events to effectively mitigate their risk, particularly in the highest risk period (early postoperative phase). For example, preimplant risk assessments tailored for sex-based differences could inform personalized perioperative care plans. Additionally, targeted pharmacological interventions, like anticoagulant regimens tailored to individual risk profiles, may also be beneficial.

It is known that LVAD-related complications differ among sex. Women sex was found to be an important preimplant predictor of stroke in an Intermacs analysis for patients implanted from 2012 to 2015.5 According to a recent International Society for Heart and Lung Transplantation registry analysis, women have higher odds of death predominantly due to neurological events compared to men in the first 3 months post-implant.6,7 However, there have not been many studies focusing on sex-based differences and clinical outcomes in patients with stroke during the early post-implant phase.

In this study, we used the National Inpatient Sample (NIS) database to compare demographic and clinical characteristics, inpatient outcomes, and measures of health care utilization among patients who experienced a stroke during LVAD hospitalization. We present and explain patient outcomes associated with sex-based disparities related to LVAD.8

Methods

Data source

This was a retrospective analysis of discharge data from the NIS between January 1, 2010 and December 31, 2019. The NIS is an all-payer database that approximates a 20% stratified sample of discharges from U.S. community hospitals participating in the Healthcare Cost and Utilization Project (HCUP).8 It contains unweighted data from more than 7 million yearly hospital stays and, once weighted, estimates approximately 35 million stays. It includes deidentified, clinical, and nonclinical elements such as primary and secondary diagnoses, patient demographics, payment source, length of stay (LOS), and severity and comorbidity measures.9 Given the nature of the database, institutional review board approval is exempted. HCUP redesigned the NIS in 2012 to improve national estimates. It was changed to a sample of discharge records from all HCUP-participating hospitals, rather than a sample of hospitals from which all discharges were retained. To account for the NIS sample redesign, we used the updated trend weights for the period between 2010 and 2011 and the original discharge weights for 2012 to 2019.

Study design and population

The primary focus of the study was identifying sex differences in stroke during hospitalization for LVAD implantation. We identified all LVAD hospitalizations in patients aged 18 years and above in the NIS database from January 1, 2010, through December 31, 2019, as per data availability at the time of analysis, using the International Classification of Diseases-9th Revision-Clinical Modification (ICD-9-CM) procedure code of 3766 and ICD-10-CM code 02HA0QZ.8 In addition, hospitalizations with stroke were identified using ICD-9-CM codes 430, 431, 43301, 43311, 43321, 43331, 43381, 43391, 43401, 43411, 43491, and 436 and ICD-10-CM codes I60xx, I61xx, I63.x, I9782xx, and I9781xx. For each hospitalization, baseline demographic characteristics, hospital characteristics, and clinically relevant comorbidities were identified. Clinical co-morbidities were identified using Elixhauser comorbidities and ICD-9-CM and ICD-10-CM codes provided in Supplemental Tables 1 to 3.

Statistical analysis

Descriptive statistics were used to summarize the continuous and categorical variables. The mean ± SE were used for continuous variables, and the categorical variables were expressed as frequencies (percentages). Univariate analyses for between-group comparisons used the Rao-Scott chi-square test for categorical variables (eg, sex and risk factors) and weighted simple linear regression for continuous variables (eg, age).

Weighted logistic regression was performed to estimate adjusted ORs and 95% CIs to determine the association of sex and various clinical outcomes in hospitalizations with LVAD procedure who had stroke. The logistic regression model was adjusted for age and the Elixhauser comorbidity index.

Hospital total charges were converted to cost estimates using hospital-specific cost-to-charge ratios provided by HCUP. Total charges were inflated to 2019 US dollars using the Consumer Price Index inflation calculator published by the US Bureau of Labor Statistics.10

Trends in unadjusted hospitalization outcomes were examined using linear regression for continuous variables, including LOS and inflation-adjusted cost, and binary logistic regression for a categorical variable (ie, percentage of stroke, mortality, and disposition), with year as the sole predictor. Subsequently, for obtaining trends for adjusted percentage of stroke, mortality, disposition, LOS, and inflation-adjusted cost, we used margins post-estimation commands. Adjustments were made for age, sex, and the Elixhauser comorbidity index.

Using Stata 16.1 (Stata Corp), our analyses took into account survey design complexity by incorporating sampling weights, primary sampling units, and strata. This allowed us to estimate population proportions, means, and regression coefficients using svy commands. Standard errors were computed using Taylor series linearization. P values <0.05 were considered statistically significant.

Results

In the NIS between 2010 and 2019, 35,820 hospital admissions for LVAD were identified, 77% men (n = 27,617) and 23% women (n = 8,203). Men were older compared to women (mean age 57.5 vs 53.6 years, P < 0.001). A higher burden of underlying comorbidities was noted among men. Men showed higher burden of atrial fibrillation, diabetes, hypertension, renal failure, dyslipidemia, smoking, alcohol use, previous myocardial infarction, previous coronary artery bypass graft, and previous percutaneous coronary intervention. On the other hand, women showed a higher burden of hypothyroidism and valvular disease when compared to men. The frequency of chronic pulmonary disease, carotid artery disease, peripheral vascular disease, liver disease, drug abuse, prior cardiovascular disease, and prior pacemaker was not statistically significant between men and women (Table 1). There was a statistically significant difference in household income and residence between sexes. Thirty-one percent of women with LVADs belonged to the lowest income resident category (0-25th), while men constituted a higher percentage of the highest income resident category (75th-100th) compared to women (23% vs 18%, respectively; P < 0.001) (Table 2).

Table 1.

Baseline Demographics in Patients With LVAD Hospital Admissions Between 2010 to 2019: Stratified by Sex

Male Female Total P Value
(n = 27,617) (n = 8,203) (N = 35,820)
Age, y 57.52 ± 0.19 53.6 ± 0.34 56.63 ± 0.17 <0.001
Race and ethnicity <0.001
 White 16,741 (64.87) 4,150 (53.98) 20,890 (62.37)
 Black 5,612 (21.74) 2,674 (34.79) 8,286 (24.74)
 Hispanics 1,692 (6.56) 494 (6.43) 2,186 (6.53)
 Others 1,764 (6.83) 369 (4.80) 2,133 (6.37)
Comorbidities
 Chronic pulmonary disease 9,528 (34.50) 2,920 (35.59) 12,447 (34.75) 0.40
 Atrial fibrillation 12,321 (44.61) 3,027 (36.90) 15,348 (42.85) <0.001
 Diabetes mellitus 9,944 (36.01) 2,604 (31.75) 12,549 (35.03) 0.002
 Hypertension 18,376 (66.54) 4,727 (57.63) 23,103 (64.50) <0.001
 Obesity 4,530 (16.40) 1,696 (20.67) 6,226 (17.38) <0.001
 Carotid artery disease 329 (1.19) 144 (1.76) 473 (1.32) 0.086
 Peripheral vascular disease 6,738 (24.40) 1,906 (23.24) 8,644 (24.13) 0.33
 Renal failure 13,731 (49.72) 2,930 (35.72) 16,661 (46.51) <0.001
 Liver disease 5,157 (18.67) 1,490 (18.16) 6,646 (18.55) 0.64
 Dyslipidemia 10,468 (37.90) 2,536 (30.92) 13,004 (36.30) <0.001
 Hypothyroidism 2,776 (10.05) 1,241 (15.13) 4,017 (11.22) <0.001
 Valvular disease 9,647 (34.93) 3,451 (42.07) 13,097 (36.56) <0.001
 Smoking 7,399 (26.79) 1,863 (22.71) 9,262 (25.86) 0.002
 Alcohol abuse 950 (3.44) 150 (1.82) 1,100 (3.07) 0.001
 Drug abuse 1,000 (3.62) 214 (2.61) 1,214 (3.39) 0.044
 Previous myocardial infarction 5,101 (18.47) 1,047 (12.77) 6,149 (17.17) <0.001
 Previous CABG 3,052 (11.05) 419 (5.10) 3,471 (9.69) <0.001
 Previous PCI 3,437 (12.45) 464 (5.66) 3,901 (10.89) <0.001
 Prior CVD 1,974 (7.15) 614 (7.49) 2,589 (7.23) 0.64
 Prior PPM or ICD 9,528 (34.50) 2,627 (32.02) 12,155 (33.93) 0.076

Values are mean ± SD or n (%). Significant values (P < 0.05) are indicated in bold.

CABG = coronary artery bypass graft; CVD = coronary vascular disease; ICD = implantable cardioverter-defibrillator; PCI = percutaneous coronary intervention; PPM = permanent pacemaker.

Table 2.

Hospital Characteristics, Geographic Locations, and Household Income in Patients With LVAD Hospital Admissions Between 2010 to 2019: Stratified by Sex

Male Female Total P Value
(n = 27,617) (n = 8,203) (N = 35,820)
Hospital location 0.84
 Rural/urban nonteaching 403 (1.46) 125 (1.52) 528 (1.47)
 Urban teaching 27,214 (98.54) 8,078 (98.48) 35,292 (98.53)
Bed size of the hospital
 Small/medium 2,839 (10.28) 804 (9.8) 3,643 (10.17)
 Large 24,779 (89.72) 7,399 (90.20) 32,177 (89.83)
Region 0.009
 Northeast 5,768 (20.88) 1,529 (18.64) 7,296 (20.37)
 Midwest 6,892 (24.96) 2,342 (28.55) 9,235 (25.78)
 South 11,059 (40.04) 3,313 (40.39) 14,372 (40.12)
 West 3,898 (14.11) 1,019 (12.42) 4,917 (13.73)
Median household income of patient zip code <0.001
 0-25th 7,091 (26.13) 2,511 (31.09) 9,602 (27.27)
 26th-50th 6,999 (25.79) 2,029 (25.12) 9,029 (25.64)
 50th-75th 6,814 (25.11) 2,069 (25.61) 8,883 (25.23)
 75th-100th 6,230 (22.96) 1,469 (18.18) 7,699 (21.86)
Insurance status <0.001
 Medicare 13,496 (49.16) 3,908 (47.79) 17,404 (48.84)
 Medicaid 3,073 (11.19) 1,248 (15.26) 4,321 (12.13)
 Private insurance 9,803 (35.71) 2,731 (33.39) 12,534 (35.18)
 Self-pay, no charge 274 (1.00) 115 (1.40) 388 (1.09)
 Other 809 (2.95) 176 (2.16) 985 (2.76)
Elixhauser comorbidity index 0.022
 0-5 6,628 (24.00) 2,188 (26.67) 8,816 (24.61)
 ≥6 20,989 (76.00) 6,015 (73.33) 27,004 (75.39)

Values are n (%). Significant values (P < 0.05) are indicated in bold.

Strokes in patients with LVAD hospital admissions

Among all LVAD hospital admissions, 6.12% (n = 2,192) of patients experienced stroke (Table 3). Men who had strokes were older compared to women, with mean age of men and women being 59.3 vs 50.7 years, respectively (P < 0.001). Men who had strokes had a higher incidence of comorbidities than women including hypertension, diabetes, renal failure, dyslipidemia, and previous percutaneous coronary intervention (Table 4).

Table 3.

Stroke and Mortality in Patients With LVAD Hospital Admissions: Sex-Based Differences

Male(n = 27,617) Female (n = 8,203) Total (N = 35,820) Unadjusted OR/Beta-Coefficient 95% CI(Lower-Upper) P Value Adjusted OR/Beta-Coefficient 95% CI(Lower-Upper) P Value
Stroke 1,636 (5.93) 556 (6.77) 2,192 (6.12) 1.15 (0.92-1.45) 0.23 1.17 (0.93-1.47) 0.18
Ischemic stroke 1,248 (4.52) 368 (4.49) 1,616 (4.51) 0.99 (0.77-1.29) 0.97 1.01 (0.78-1.31) 0.92
Hemorrhagic stroke 488 (1.77) 217 (2.64) 705 (1.97) 1.51 (1.03-2.21) 0.036 1.49 (1.02-2.18) 0.04
Inpatient mortality in ischemic stroke 438 (35.10) 114.65 (31.11) 553 (34.19) 0.84 (0.48-1.44) 0.52 0.87 (0.49-1.52) 0.62
Inpatient mortality in hemorrhagic stroke 243 (49.86) 138 (63.56) 381 (54.07) 1.75 (0.82-3.73) 0.15 1.87 (0.85-4.11) 0.12

Values are n (%) unless otherwise indicated. Significant values (P < 0.05) are indicated in bold.

Table 4.

Baseline Characteristics in Patients With LVAD Hospital Admission and Stroke: Stratified by Sex

Male Female Total P Value
(n = 1,636) (n = 556) (N = 2,192)
Age, y 59.32 ± 0.73 50.71 ± 1.62 57.13 ± 0.71 <0.001
Race and ethnicity 0.008
 White 1,034 (65.99) 254 (51.68) 1,288 (62.57)
 Black 245 (15.62) 160 (32.44) 404 (19.64)
 Hispanics 155 (9.87) 35 (7.12) 190 (9.21)
 Others 133 (8.52) 43 (8.76) 177 (8.58)
Comorbidities
 Chronic pulmonary disease 364 (22.25) 90 (16.17) 454 (20.71) 0.15
 Atrial fibrillation 567 (34.66) 139 (24.99) 706 (32.21) 0.072
 Diabetes mellitus 477 (29.14) 90 (16.20) 567 (25.86) 0.012
 Hypertension 992 (60.62) 194 (34.90) 1,186 (54.10) <0.001
 Obesity 143 (8.75) 60 (10.80) 203 (9.27) 0.51
 Peripheral vascular disease 295 (18.03) 78 (14.06) 373 (17.02) 0.34
 Renal failure 711 (43.42) 155 (27.82) 865 (39.47) 0.004
 Liver disease 443 (27.07) 198 (35.68) 641 (29.25) 0.077
 Dyslipidemia 459 (28.04) 100 (18.00) 559 (25.50) 0.046
 Hypothyroidism 113 (6.93) 91 (16.30) 204 (9.31) 0.004
 Valvular disease 338 (20.63) 151 (27.10) 488 (22.27) 0.20
 Smoking 245 (14.95) 54 (9.78) 299 (13.64) 0.17
 Alcohol abuse 40 (2.44) <11 cell count 50 (2.29) 0.72
 Drug Abuse 20 (1.22) <11 cell count 30 (1.37) 0.65
 Previous myocardial infarction 229 (13.99) 35 (6.30) 264 (12.04) 0.029
 Previous CABG 187 (11.46) 34 (6.19) 222 (10.12) 0.087
 Previous PCI 160 (9.75) 15 (2.70) 175 (7.96) 0.02

Values are mean ± SD or n (%) unless otherwise indicated. Significant values (P < 0.05) are indicated in bold.

CABG = coronary artery bypass graft.

The overall rate of stroke was similar in women as compared to men. Despite a lower comorbidity burden and younger age in women with stroke vs men with stroke, women were more likely to experience a hemorrhagic stroke (Table 3). The rate of ischemic stroke remained similar in both groups. Knowing that device type may influence the occurrence of adverse events such as cerebrovascular accidents, we analyzed the data per time period to examine the potential impact of changing pumps on the incidence of cerebrovascular accidents, but no significant difference was observed (Supplemental Table 3).

Outcomes in patients with LVAD hospital admissions and strokes

Mortality in patients who had stroke was significantly higher when compared to those who did not have stroke (39.0% vs 9.62%, respectively; P < 0.001). Of these, hemorrhagic strokes were associated with higher mortality in both men and women when compared to ischemic strokes (men 49.9% vs 35.1%; women 63.6% vs 31.1%), with a trend toward a higher hemorrhagic stroke-related mortality in women (63.6% vs 49.9%, OR: 1.87, 95% CI: 0.85-4.11) (Table 3). There was no significant sex-based difference in other clinical outcomes (pressors use, invasive mechanical ventilation, kidney injury, or cardiac arrest), hospital LOS, or hospital discharge to a facility (Table 5). No regional difference in stroke rates was seen between men and women. However, approximately 37% of total strokes were seen in the South vs the Northeast (22%), Midwest (23%), and West (16%) (P = 0.009).

Table 5.

Clinical Outcomes and Resource Utilization in Patients With LVAD Hospital Admission and Stroke: Sex-Based Differences

Male
(n = 1,636)
Female
(n = 556)
Total
(N = 2,192)
Unadjusted OR/
Beta-Coefficient
95% CI
(Lower-Upper)
P Value Adjusted OR/
Beta-Coefficient
95% CI
(Lower-Upper)
P Value
Pressors use 214 (13.10) 55 (9.90) 269 (12.29) 0.73 (0.37-1.45) 0.37 0.72 (0.37-1.43) 0.35
Invasive mechanical ventilation 910 (55.60) 322 (57.99) 1,232 (56.21) 1.10 (0.71-1.71) 0.66 1.12 (0.71-1.76) 0.62
Acute kidney injury 1,176 (71.84) 357 (64.34) 1,533 (69.94) 0.71 (0.46-1.09) 0.12 0.79 (0.50-1.25) 0.32
Acute kidney injury requiring dialysis 154 (9.38) 55 (9.90) 209 (9.52) 1.06 (0.54-2.08) 0.86 1.08 (0.56-2.05) 0.82
Gastrostomy 169 (10.33) 25 (4.50) 194 (8.86) 0.41 (0.16-1.04) 0.06 0.48 (0.19-1.21) 0.12
Tracheostomy 354 (21.65) 143 (25.80) 498 (22.70) 1.26 (0.77-2.05) 0.36 1.36 (0.80-2.29) 0.26
Cardiac arrest 248 (15.17) 74 (13.32) 322 (14.70) 0.86 (0.47-1.58) 0.63 0.79 (0.42-1.49) 0.46
Inpatient mortality 626 (38.28) 228 (41.00) 854 (38.97) 1.12 (0.74-1.7) 0.59 1.13 (0.73-1.75) 0.57
LOS, days 48.67 ± 1.82 57.62 ± 4.22 59.95 ± 1.74 8.95 (−0.08 to 17.99) 0.05 6.09 (−2.67 to 14.84) 0.17
Inflation-adjusted cost, US $ 343,767.10 ± 10,675.27 401,386.10 ± 22,689.21 358,414.20 ± 10,020.30 57,619.04 (8,786.31-106,451.80) 0.02 39,779.67 (−9,010.72 to 88,570.07) 0.11

Values are n (%) or mean ± SD unless otherwise indicated.

LOS = length of stay.

In general, there was a variable trend for strokes in women over the 10-year period and an increasing trend in men (Figure 1).

Figure 1.

Figure 1

Sex-Based Trends in Stroke Among PatientsWith Left Ventricular Assist Device, 2010 to 2019

Discussion

Studies on stroke-related sex disparities in patients with LVADs are limited. In the current study, we used the NIS database and evaluated sex disparity demographics in LVAD-associated strokes during index hospitalization over a 10-year period. Our analysis showed that: 1) fewer women received LVAD implantation than men; and 2) despite lower rates of comorbidities, women had a higher incidence of hemorrhagic stroke and trended toward a higher hemorrhagic stroke-related mortality in the early post-implant phase (Central Illustration).

Central Illustration.

Central Illustration

Sex-Based Differences in Stroke Related to LVAD

Figure shows that despite lower utilization of left ventricular assist devices (LVADs) in women as compared to men, the overall stroke rate trended to be higher in women. Of particular concern is the statistically significant increase in hemorrhagic stroke risk observed in women, despite a lower comorbidity index. This highlights the need for a sex-specific approach in the management of heart failure, particularly in the context of LVAD utilization and stroke prevention.

Only 23% of the total participants who received LVAD were women. This finding is consistent with previously published data stating women are less likely to be referred for LVAD compared to men and are largely underrepresented in clinical trials.11, 12, 13 With the advent of continuous-flow LVADs, implantation has almost doubled among women between 2009 and 2014, but there is still a huge gap between men and women. Factors identified in prior studies that contribute to a lower implant rate in women include patient size, poor social support, lower socioeconomic status, higher refusal rates, and religious reasons.3,11Another possible contributing factor could be the difference in the prevalence of heart failure with reduced ejection fraction (HFrEF) and heart failure with preserved ejection fraction (HFpEF), with HFrEF being more predominant in men and HFpEF more common in women.14 Our analysis showed that men have a higher comorbidities overall, yet women were found to have higher risk of hemorrhagic stroke. Stroke is one of the major postoperative adverse events in LVAD patients.15 Although ischemic strokes are generally more common, hemorrhagic strokes are associated with higher patient mortality.3,15,16 Previous studies identified predictors of stroke as uncontrolled blood pressure, infection, atrial fibrillation, device type and duration, and female sex, with women showing a significantly higher risk for fatal stroke,17, 18, 19 and a higher proportion experiencing hemorrhagic vs ischemic stroke.5 This is similar to our analysis, which showed that women had a significantly higher risk of hemorrhagic stroke than men. We suggest this sex difference to be attributable to sex-hormone-related influences on hemocompatibility, sex differences in the endothelial activation system, or pharmacological anticoagulation management in women compared to men.

It is postulated that hemodynamic and blood flow velocity changes attributable to LVAD contribute to the development of strokes.20 LVADs cause significant endothelial damage and activation of the coagulation pathway. A decrease in the release of endothelin, a protective factor for hemodynamic stability, has been seen in centrifugal force-left ventricular assisted device (CF-LVAD) patients. This, along with a dysfunction in the synthesis of fibrinolytic substances, has contributed to the pathology of thrombus formation and stroke in CF-LVAD patients.21

There are sex-dependent factors and differences in vascular reactivity. Estrogen influences coagulability and endothelium functions, which are known mechanisms involved in stroke occurrence.22 Estrogen has been shown to increase nitric oxide production from the endothelium by regulating enzyme expression. Nitric oxide production has been linked to reducing vascular resistance and promoting better cerebral tissue perfusion.23 Conversely, estrogen has also been linked to activation of coagulation factors, which increases the incidence of thrombus formation and stroke.23 There is no clarity on the mechanisms through which estrogen mitigates or increases the incidence of stroke risk in women.

Women have different risk factors for stroke depending on whether they are premenopausal or postmenopausal. Menarche and menopause have been proven to be indicators of stroke risk in women.24 Women who have early-onset menopause have an increased risk of hemorrhagic stroke development, and stroke risk continues to increase in postmenopausal women.25 Higher premenopause estrogen levels are suspected to have a protective effect against stroke and cardiovascular disease, so it was theorized that hormone replacement therapy might serve as a protective measure against stroke as well. However, there have been studies suggesting both that hormone replacement therapy has no effect on stroke rate and that hormone replacement therapy causes an increase in stroke rate and severity.22,23 Estrogen appears to play a very nuanced role in stroke incidence, and the topic warrants significant further research.

The discrepancy in anticoagulation management in women compared to men could contribute to the higher incidence of stroke in women as well. Anticoagulant treatment with LVAD includes warfarin therapy managed at a low INR (1.5-2.5) window.26 A study noted that for CF-LVAD recipients’ receiving warfarin, women and prior warfarin usage were predictors of lower time in therapeutic range (TTR).27 TTR evaluates the safety efficacy of warfarin therapy. A low TTR is indicative of poor outcomes, including ischemic and hemorrhagic strokes.28 Women presenting with poor outcomes on warfarin anticoagulant therapy as opposed to men can potentially explain the reason for increase in strokes in women. However, further research is necessary to understand the sex disparities in effectiveness of anticoagulant therapy in CF-LVAD recipients.

In addition, platelet function and response to antiplatelet therapy is now known to be sex-dependent. In a recent study on sex-specific mortality risk score in LVAD recipients, Nayak et al6 demonstrated a sex-specific prognostic impact of a lower platelet count and ischemic cardiomyopathy as the causes of heart failure. This provides valuable insight into the difference in effects of platelet therapy, but further research is necessary to validate these findings.

Study Limitations

We acknowledge the limitations of our study. Although utilization of the NIS provided an expansive database to analyze LVAD utilization across a 10-year life span, only mortality, morbidity, comorbidity, and sex-based differences in LVAD hospitalization could be examined. Some variables that might be important risk factors for stroke, such as medications, were not available. In addition, the device type is not available in the NIS database. Also, the NIS is an administrative discharge database, so there is no longitudinal follow-up of patients after discharge. It is important to note that the small size of the groups in this cohort (male vs female) may limit the statistical significance of some comparisons. While this is the case, data is from a national database and is representative of the United States population. Lastly, we did not exclude the patients who already had LVAD, and some of the current LVAD implantations may represent LVAD replacements.

Conclusions

In this national cohort of patients with hospital admissions for LVAD implantation, men had a higher comorbidity burden and worse stroke trends over the last 10 years when compared to women. Women had fewer LVAD implantations and had a higher incidence of hemorrhagic strokes. Additional studies are needed to understand factors influencing sex-related outcomes among patients with stroke on an LVAD.

PERSPECTIVES.

COMPETENCY IN PATIENT CARE: There is a need to consider the unique care requirements of women around the time of LVAD implantation and postimplantation management. Careful attention to these considerations is necessary to fully elucidate the reasons behind the observed phenomena and to develop effective strategies for reducing the associated risks.

TRANSLATIONAL OUTLOOK: The paucity of women representation in research studies hinders the accurate assessment of pathophysiological mechanisms underlying the development of hemorrhagic stroke post-LVAD. To obtain a better understanding of this phenomenon, it is imperative to conduct prospective studies with a larger sample size of women.

Funding support and author disclosures

The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Footnotes

The authors attest they are in compliance with human studies committees and animal welfare regulations of the authors’ institutions and Food and Drug Administration guidelines, including patient consent where appropriate. For more information, visit the Author Center.

Appendix

For supplemental tables, please see the online version of this paper.

Supplementary data

Supplemental Tables 1-3
mmc1.docx (21.1KB, docx)

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