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ORIGINAL RESEARCH article

Front. Cardiovasc. Med., 18 October 2022
Sec. Sex and Gender in Cardiovascular Medicine
This article is part of the Research Topic Sex Differences and Cardiovascular Therapeutics View all 13 articles

Sex difference and outcome trends following transcatheter aortic valve replacement

\nGabby Elbaz-Greener
&#x;Gabby Elbaz-Greener1*Eldad Rahamim&#x;Eldad Rahamim1Zahi Abu GhoshZahi Abu Ghosh1Shemy Carasso,Shemy Carasso2,3Merav YarkoniMerav Yarkoni1Sam RadhakrishnanSam Radhakrishnan4Harindra C. WijeysunderaHarindra C. Wijeysundera4Tomas IgorTomas Igor5David PlanerDavid Planer1Guy Rozen,,&#x;Guy Rozen6,7,8Offer Amir,&#x;Offer Amir1,3
  • 1Department of Cardiology, Hadassah Medical Center, The Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
  • 2Division of Cardiovascular Medicine, Baruch Padeh Medical Center, Poria, Israel
  • 3The Azrieli Faculty of Medicine in the Galilee, Bar-Ilan University, Safed, Israel
  • 4Schulich Heart Program, Division of Cardiology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
  • 5Institute for Cardiovascular Disease of Vojvodina, Sremska Kamenica Institute, Belgrade, Serbia
  • 6Cardiovascular Center, Tufts Medical Center, Boston, MA, United States
  • 7Tufts University School of Medicine, Boston, MA, United States
  • 8Cardiac Arrhythmia Center, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States

Background: Based on worldwide registries, approximately 50% of patients who underwent transcatheter aortic valve replacement (TAVR) are female patients. Although TAVR procedures have improved tremendously in recent years, differences in outcome including mortality between sexes remain. We aimed to investigate the trends in TAVR in the early and new eras of utilization and to assess TAVR outcomes in female patients vs. male patients.

Methods: Using the 2011–2017 National Inpatient Sample (NIS) database, we identified hospitalizations for patients with the diagnosis of aortic stenosis during which a TAVR was performed. Patients' sociodemographic and clinical characteristics, procedure complications, and mortality were analyzed. Piecewise regression analyses were performed to assess temporal trends in TAVR utilization in female patients and in male patients. Multivariable analysis was performed to identify predictors of in-hospital mortality.

Results: A total of 150,647 hospitalizations for TAVR across the United States were analyzed during 2011–2017. During the study period, a steady upward trend was observed for TAVR procedures in both sexes. From 2011 to 2017, there were significantly more TAVR procedures performed in men [80,477 (53.4%)] than in women [70,170 (46.6%)]. Male patients had significantly higher Deyo-CCI score and comorbidities. Differences in mortality rates among sexes were observed, presenting with higher in-hospital mortality in women than in men, OR 1.26 [95% CI 1.18–1.35], p < 0.001.

Conclusion: Utilization of TAVR demonstrated a steady upward trend during 2011–2017, and a similar trend was presented for both sexes. Higher in-hospital mortality was recorded in female patients compared to male patients. Complication rates decreased over the years but without effect on mortality differences between the sex groups.

Introduction

Aortic stenosis (AS) is characterized by left ventricular outflow obstruction. This results in decreased cardiac output, which leads to major morbidity and mortality. AS is a progressive disease. The prevalence in octogenarians is 9.8 vs. 0.2% in adults aged 50–59 years, which suggests degenerative etiology as the main cause of the disease (1). Aortic valve replacements (AVR) via surgical aortic valve replacements (SAVR) and transcatheter aortic valve replacements (TAVR) are well-known treatment options for patients with severe symptomatic aortic stenosis. Based on worldwide registries, approximately 50% of patients who underwent AVR are female patients (25).

Although AVR procedures have improved tremendously in recent years, differences in outcomes, including mortality between sexes, remain. Physiological, anatomical, and comorbidity differences between male patients and female patients contribute to the heterogeneity in AVR procedural and long-term outcomes (514).

Specifically, female patients tend to be older with a higher frailty score and a lower body mass index (613, 1517). Women have greater periprocedural complications (1823), such as more frequent bleeding, and more vascular complications than men following the same procedure (8, 14, 1825). Thus, after AVR, women suffer significantly more than men from in-hospital and 30-day morbidity and mortality (310, 13, 2123). However, although the short-term outcomes are worse, female patients have shown better long-term outcomes with higher survival rates (6, 9, 11, 12, 14, 16, 2632) known as the sex paradox.

The revolutionary shift from SAVR to a less invasive procedure as TAVR has improved outcomes in women (12, 19, 20, 2228) as seen in the last decade. Data suggest that short-term outcomes in female patients also improved (21), and the sex-related differences diminished over the years (4, 24, 25, 3032).

A paucity of literature from the latest TAVR era suggests that the so-called sex paradox may not exist with the new, improved technology and a better patient selection process (4, 9, 30).

This study aimed to investigate temporal trends in sex-related differences in a large cohort of the US database from the National Inpatient Sample (NIS) registry, specifically the in-hospital outcomes in male patients vs. female patients who underwent TAVR procedures during 2011–2017.

Methods

Data collection

The data were obtained from the NIS database, the Healthcare Cost and Utilization Project (HCUP), and the Agency for Healthcare Research and Quality (AHRQ) (33). Data from the NIS datasets were de-identified, and therefore, this study was deemed exempt from institutional review by the Human Research Committee.

As described previously (34), the NIS is the largest collection of all-payer data on inpatient hospitalizations in the United States. The dataset represents an approximate 20% stratified sample of all inpatient discharges from US hospitals (35, 36). This information includes patient-level and hospital-level factors such as patient demographic characteristics, primary and secondary diagnoses, procedures, AHRQ comorbidities, length of stay (LOS), hospital region, hospital teaching status, hospital bed size, and cost of hospitalization. National estimates were calculated using the patient-level and hospital-level sampling weights provided by NIS.

For this study, we obtained data for the years 2011 to 2017. The International Classification of Diseases, ICD-9-CM, and ICD-10-CM Revisions were used. Clinical modifications were used for reporting diagnoses and procedures in the NIS database. For each index hospitalization, the database provided a principal discharge diagnosis and a maximum of 14 or 24 additional diagnoses (depending on the year), in addition to a maximum of 15 procedures.

We identified patients aged 18 years or older with a primary diagnosis of aortic stenosis based on ICD-9-CM codes 395.0, 395.2, 396, 396.2, 746.3, 424.1 and based on ICD-10-CM codes I35.0, I35.2, Q23.0, I06.0, I06.2, and I08.0, who underwent in-hospital TAVR procedure codes for PR1-PR15. ICD-9-CM codes 35.05 (trans-femoral) and 35.06 (trans-apical) and ICD-10-CM codes 02RF37Z, 02RF38Z, 02RF3JZ, 02RF3KZ, and X2RF332 (trans-femoral) and 02RF37H, 02RF38H, 02RF3JH, and 02RF3KH (trans-apical) were used.

We used the Deyo-Charlson Comorbidity Index (Deyo-CCI), which predicts the risk of death within 1 year of hospitalization for patients with specific comorbid conditions. Higher Deyo-CCI scores indicated a greater burden of comorbid diseases and were associated with mortality 1 year after admission (37). The Deyo-CCI index has been used extensively in studies from administrative databases, with proven validity in predicting short- and long-term outcomes (3840). Deyo-CCI uses the ICD-9-CM and ICD-10-CM diagnosis and procedure codes, the administrative data for 17 comorbidities with differential weights of 1 to 6, to calculate the final score index, ranging from 0 to 33. The following patient demographics were collected from the database: age, sex, and race. Prior comorbidities were identified from the AHRQ. Detailed information on Deyo-CCI is provided in Appendix Table 1.

Outcomes

The primary outcome in this study was all-cause in-hospital mortality. The secondary outcome of interest included in-hospital complications. In-hospital TAVR-related complications were defined (36, 40) as follows: (1) pericardial complications, defined as tamponade, hemopericardium, pericarditis, and pericardiocentesis; (2) cardiac complications (during or resulting from procedure), defined as cardiac block, myocardial infarction, cardiac arrest, congestive heart failure, cardiogenic shock, and others; (3) pulmonary complications, defined as pneumothorax/hemothorax, diaphragm paralysis, postoperative respiratory failure, and other iatrogenic respiratory complications; (4) hemorrhage/hematoma complications, defined as hemorrhage/hematoma complicating a procedure, acute post-hemorrhagic anemia, and hemorrhage requiring transfusion; (5) vascular complications, defined as accidental puncture or laceration during a procedure, injury to blood vessels, arteriovenous fistula, injury to retroperitoneum, vascular complication requiring surgical repair, reopen, and other vascular complications; (6) infection, defined as fever, septicemia, and post-procedural aspiration pneumonia; (7) neurological, defined as nervous system complication, unspecified, central nervous system complication, iatrogenic cerebrovascular infarction or hemorrhage cerebrovascular effect, and transient ischemic attack; (8) diaphragmatic paralysis; (9) acute renal failure; (10) reopen and conversion to open surgery; (11) device-related mechanical complication; (12) paravalvular leak (PVL); and (13) permanent pacemaker implantation (PPM). Detailed information on all ICD-9-CM and ICD-10-CM codes used to identify in-hospital complications is summarized in Appendix Table 2. Length of stay (LOS) was defined as the time interval in days from hospital admission to hospital discharge.

Statistical analysis

The chi-square (χ2) test and Wilcoxon rank sum test were used to compare categorical variables and continuous variables, respectively. Rao-Scott F-adjusted chi-square test was used to represent differences in baseline characteristic frequencies of TAVR patients and between-gender differences. LOS (continuous) was compared based on non-parametric confidence intervals according to Zhou and Dinh (41).

Trends

Piecewise regression analyses were performed to assess temporal trends in TAVR utilization in male patients and in female patients in response to an empirical inflection point corresponding to the early vs. late TAVR eras, before 2014 vs. after 2014. P-values were computed using Rao-Scott F-adjusted chi-square test to represent differences between year groups in complication frequencies before vs. after 2014.

Predictors of mortality/complications

We generated a weighted logistic regression model using “TRENDWT” to identify independent predictors of in-hospital complications and in-hospital mortality (further details are found in Appendix Table 3). Congruent with the HCUP NIS design, the hospital identification number was used as a random effect with patient-level factors clustered within hospital-level factors. We retained all predictor variables that were associated with our primary outcome of mortality and secondary outcome of at least one complication with p < 0.1 in our final multivariable regression model. For LOS analysis, we generated a logistic regression model. For all analyses, we used SAS® version 9.4 software (SAS Institute Inc., Cary, NC). A p-value < 0.05 was considered statistically significant.

Results

We analyzed data out of 30,153 unweighted hospitalizations in the NIS database from 2011 to 2017. After implementing the weighting method, these represented a total of 150,647 hospitalizations for aortic stenosis in patients who underwent in-hospital TAVR during the index hospitalization.

Baseline characteristics

In this study, from 2011 to 2017, there were significantly more TAVR procedures performed in men [80,477 (53.4%)] than in women [70,170 (46.6%)]. However, in patients older than 80 years, there was a female predominance (67.7%). Most patients were Caucasian (82.7%), and the mean age was 80.6 ± 8.2 years. Baseline and procedural characteristics categorized by sex are presented in Table 1.

TABLE 1
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Table 1. Baseline and TAVR procedural characteristics categorized by sex.

Regardless of sex, most patients also presented with hypertension and hyperlipidemia (>50%). Male patients had significantly higher Deyo-CCI score and higher proportions of hyperlipidemia, diabetes mellitus, chronic renal disease, peripheral artery disease, and coronary artery disease and tended to be smokers. Furthermore, male patients had a higher rate of previous cardiac intervention as prior percutaneous coronary intervention and a higher rate of prior device implantation (Table 1).

AVR utilization trends

Our data show that the annual number of TAVR procedures has increased from 1,215 in 2011 to 48,480 in 2017 (Figure 1). The same trend characterized both female patients and male patients. A significant and steady upward trend was observed for TAVR procedures in both sexes, rising from 670 in 2011 to 26,450 in 2017 for male patients and from 545 in 2011 to 22,030 in 2017 for female patients (Figure 1).

FIGURE 1
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Figure 1. Annual trend for the number of procedures performed by sex and procedure. Piecewise linear regression between years before and after 2014; p-value is 0.001 for male patient and 0.005 for female patient.

Using a piecewise regression analysis, a significant steady upward trend was observed for TAVR procedures from 2011 to 2017, with an additionally pointed elevation after 2014 in both sexes (p = 0.001 for male patients and p < 0.005 for female patients) (Figure 1).

Clinical outcomes

All-cause in-hospital mortality during the study period was 2.3% (Table 1). Differences in mortality among sexes were observed, with higher in-hospital mortality in women (2.7%) than in men (2.1%) (Figure 2A). Over time, there was improved mortality, with similar trends observed in both men and women, peaking in 2013 and dropping down to a minimum in 2017, the last observation year (Figure 2A).

FIGURE 2
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Figure 2. (A) Mortality rates in male patients vs. female patients after TAVR during 2011–2017. (B) LOS rates in male patients vs. female patients after TAVR during 2011–2017.

Women had a longer LOS than men (6.0 ± 0.1 vs. 5.5 ± 0.1, p = 0.0001, respectively). TAVR LOS decreased significantly in men and women from 2011 to 2017 but was still higher in women (Figure 2B).

Procedural complications

Procedural complications categorized by sex are presented in Table 2. Following TAVR, female patients had significantly higher rates of pericardial, cardiac, pulmonary, hemorrhagic, vascular, and neurological complications (Table 2). Acute renal failure, device-related mechanical complications, and pacemaker implantation were significantly higher in male patients, although similar downward trends were observed for both sexes (Table 2).

TABLE 2
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Table 2. TAVR procedural complications categorized by sex.

Trends in complication rates during 2011–2017 are presented in Figures 3AF. A significant downward trend was observed in a majority of the complications rate in the early vs. late TAVR era in both male and female patients (Figures 3AF).

FIGURE 3
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Figure 3. Complications following TAVR in male patients vs. female patients in the early vs. late TAVR era. (A) Vascular complication. (B) Paravalvular leak. (C) Hemorrhage complication. (D) Neurological complication. (E) New pacemaker implantation. (F) Acute renal failure.

Multivariable analysis

The multivariable regression model analysis adjusted for potential confounders is presented in Table 3. Women had a higher mortality risk with an odds ratio of 1.26 (95%CI 1.18–1.35), p < 0.001 (Table 3).

TABLE 3
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Table 3. Multivariate analysis for predictors of mortality from 2011 to 2017 in the TAVR cohort.

Table 4 presents separate analyses for each gender. Women had fewer comorbidities independently associated with mortality than men. Renal failure, peripheral vascular disease, and higher Deyo-CCI score were independent risk factors for both sexes, while female patients with peripheral vascular disease had a higher probability of mortality (Table 4).

TABLE 4
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Table 4. Multivariable analysis for predictors of TAVR mortality from 2011 to 2017 by sex.

Discussion

This retrospective study found significant differences in male patients vs. female patients undergoing TAVR procedures between 2011 and 2017. Differences in in-hospital mortality rates among sexes were observed for TAVR, with higher in-hospital mortality in women than in men.

After TAVR procedures, this study observed that women had significantly higher in-hospital mortality rates than men over the years. LOS was also significantly higher in women compared to men. There was a peak in mortality and LOS around 2014 and then a steady and significant decrease in these clinical outcomes over the years in both groups. Still, women have poor short-term outcomes compared to men.

The vastly increasing number of procedures performed led to better outcomes and fewer complications over the years due to more experienced operators, better patient selection, and better technology (42, 43). Hence the notion that women will benefit from these advances and have better or equal outcomes than men, unlike their worse outcomes compared to men with SAVR (30, 44).

The “sex paradox” describes the discordance between the higher rates of short-term mortality and complications in women compared to better long-term survival (13, 22, 4548). Fewer baseline comorbidities could explain this paradox in women who appear to start the process in better general health (13, 23), which might be the explanation for findings in previous papers suggesting lower long-term mortality in women. They are healthier, and thus, if they do not suffer short-term complications, they live longer (4, 29). As reproduced in this study, for various reasons, women suffer more periprocedural complications (23), primarily vascular and bleeding (49). Perhaps this is not a paradox at all but a manifestation of women's higher rates of periprocedural complications. Female patients were found to have smaller anatomy of the atrioventricular area and smaller annular diameters (50). Women also have significantly smaller vascular anatomy, which could be associated with higher rates of vascular complications (51). Data from the TVT registry showed a significantly higher rate of TAVR performed via alternative access, 45% in women compared to 35% in men, possibly explaining their higher complication rate (16). Our data show that >93% trans-femoral approach was used in the study cohort, which included the late TAVR era. This could be the explanation for vascular complications reduction in both women and men. Further investigation into this phenomenon is warranted. The increase in the trans-femoral approach in the late TAVR era could be explained by better patient selection and devices and delivery systems that improved significantly and by the learning curve of new technology that entered the market.

The periprocedural complication rate decreased significantly between the early and late periods of this study with 2014 being the cutoff point. This is supported in other studies as well (23, 24, 27, 29). We tried to understand whether this reduction affects the mortality differences between the sex groups. The observation that women are more susceptible to early complications and thus have higher in-hospital mortality persisted throughout the study periods. Despite the decline in mortality in the late study period, the difference remained, with higher mortality in women participants compared to men. More extensive studies focusing on female early mortality in these procedures are crucial for understanding how to improve outcomes in this population.

Our study should be interpreted in the context of several limitations. First, the NIS database is a retrospective administrative database containing discharge-level records and is susceptible to coding errors, and reporting may not be consistent across different institutions. Second, the NIS does not include detailed clinical information and therefore cannot rule out residual confounding of the associations we observed. Additionally, the NIS precluded using follow-up beyond the same index hospitalization. These limitations are counterbalanced by the real-world, nationwide nature of the data, as well as the mitigation of reporting bias introduced by selective publication of results from specialized centers. We used a logistic model for the complications.

In conclusion, while a significant downward trend in complication rates was observed, in-hospital mortality remains higher in female patients. This should be further investigated to understand the mechanism behind this phenomenon to reduce early mortality in this group.

Data availability statement

The data analyzed in this study is subject to the following licenses/restrictions: The data were obtained from the NIS database, the Healthcare Cost and Utilization Project (HCUP), and the Agency for Healthcare Research and Quality (AHRQ). Data from the NIS datasets were de-identified and therefore this study was deemed exempt from institutional review by the Human Research Committee. Requests to access these datasets should be directed to hcup@ahrq.gov.

Ethics statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author contributions

GE-G and GR conceived the idea and design of the study and drafted the manuscript. ER and MY drafted the manuscript. SC contributed to the data analysis and interpretation and provided revisions to the manuscript. HW and SR contributed to the data interpretation and provided major revisions to the manuscript. DP provided major revisions to the manuscript. OA is the principal investigator, conceived the idea and design of the study, and provided revisions to the manuscript. GE-G had access to all the study data, takes responsibility for the accuracy of the analysis, has the authority over manuscript preparation, and the decision to submit the manuscript for publication. All authors read and approved the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcvm.2022.1013739/full#supplementary-material

References

1. Otto CM, Prendergast B. Aortic-valve stenosis — from patients at risk to severe valve obstruction. New England J Med. (2014) 371:744–56. doi: 10.1056/NEJMra1313875

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Carroll JD, Mack MJ, Vemulapalli S, Herrmann HC, Gleason TG, Hanzel G, et al. STS-ACC TVT registry of transcatheter aortic valve replacement. J Am Coll Cardiol. (2020) 76:2492–516. doi: 10.1016/j.jacc.2020.09.595

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Itzhaki Ben Zadok O, Kornowski R, Finkelstein A, Barbash I, Danenberg H, Segev A, et al. Temporal trends in gender-related differences and outcomes in patients who underwent transcatheter aortic valve implantation (from the Israeli transcatheter aortic valve implantation multicenter registry). Am J Cardiol. (2019) 123:108–15. doi: 10.1016/j.amjcard.2018.09.018

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Caponcello MG, Banderas LM, Ferrero C, Bramlage C, Thoenes M, Bramlage P. Gender differences in aortic valve replacement: is surgical aortic valve replacement riskier and transcatheter aortic valve replacement safer in women than in men? J Thorac Dis. (2020) 12:3737–46. doi: 10.21037/jtd-20-700

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Onorati F, D'Errigo P, Barbanti M, Rosato S, Covello RD, Maraschini A, et al. Different impact of sex on baseline characteristics and major periprocedural outcomes of transcatheter and surgical aortic valve interventions: Results of the multicenter Italian OBSERVANT Registry. J Thorac Cardiovasc Surg. (2014) 147:1529–39. doi: 10.1016/j.jtcvs.2013.05.039

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Elhmidi Y, Piazza N, Mazzitelli D, Wottke M, Lange R, Bleiziffer S. Sex-related differences in 2197 patients undergoing isolated surgical aortic valve replacement. J Card Surg. (2014) 29:772–8. doi: 10.1111/jocs.12442

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Chaker Z, Badhwar V, Alqahtani F, Aljohani S, Zack CJ, Holmes DR, et al. Sex differences in the utilization and outcomes of surgical aortic valve replacement for severe aortic stenosis. J Am Heart Assoc. (2017) 6:e006370. doi: 10.1161/JAHA.117.006370

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Pighi M, Piazza N, Martucci G, Lachapelle K, Perrault LP, Asgar AW, et al. Sex-specific determinants of outcomes after transcatheter aortic valve replacement. Circ Cardiovasc Qual Outcomes. (2019) 12:e005363. doi: 10.1161/CIRCOUTCOMES.118.005363

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Yousif N, Obeid S, Binder R, Denegri A, Shahin M, Templin C, et al. Impact of gender on outcomes after transcatheter aortic valve implantation. J Geriatr Cardiol. (2018) 15:394–400. doi: 10.11909/j.issn.1671-5411.2018.06.013

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Lopez-de-Andres A, Mendez-Bailon M, Perez-Farinos N, Hernandez-Barrera V, de Miguel-Diez J, Munoz-Rivas N, et al. Gender differences in incidence and in-hospital outcomes of surgical aortic valve replacement in Spain, 2001-15. Eur J Public Health. (2019) 29:674–80. doi: 10.1093/eurpub/ckz019

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Ter Woorst JF, Hoff AHT, van Straten AHM, Houterman S, Soliman-Hamad MA. Impact of sex on the outcome of isolated aortic valve replacement and the role of different preoperative profiles. J Cardiothorac Vasc Anesth. (2019) 33:1237–43. doi: 10.1053/j.jvca.2018.08.196

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Buja P, Napodano M, Tamburino C, Petronio AS, Ettori F, Santoro G, et al. Comparison of variables in men versus women undergoing transcatheter aortic valve implantation for severe aortic stenosis (from Italian Multicenter CoreValve registry). Am J Cardiol. (2013) 111:88–93. doi: 10.1016/j.amjcard.2012.08.051

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Buchanan GL, Chieffo A, Montorfano M, Maisano F, Latib A, Godino C, et al. The role of sex on VARC outcomes following transcatheter aortic valve implantation with both Edwards SAPIEN and Medtronic CoreValve ReValving System(R) devices: the Milan registry. EuroIntervention. (2011) 7:556–63. doi: 10.4244/EIJV7I5A91

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Sherif MA, Zahn R, Gerckens U, Sievert H, Eggebrecht H, Hambrecht R, et al. Effect of gender differences on 1-year mortality after transcatheter aortic valve implantation for severe aortic stenosis: results from a multicenter real-world registry. Clin Res Cardiol. (2014) 103:613–20. doi: 10.1007/s00392-014-0690-6

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Chandrasekhar J, Dangas G, Yu J, Vemulapalli S, Suchindran S, Vora AN, et al. Sex-based differences in outcomes with transcatheter aortic valve therapy: TVT registry From 2011 to 2014. J Am Coll Cardiol. (2016) 68:2733–44. doi: 10.1016/j.jacc.2016.10.041

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Mokhles MM, Soloukey Tbalvandany S, Siregar S, Versteegh MIM, Noyez L, van Putte B, et al. Male-female differences in aortic valve and combined aortic valve/coronary surgery: a national cohort study in the Netherlands. Open Heart. (2018) 5:e000868. doi: 10.1136/openhrt-2018-000868

PubMed Abstract | CrossRef Full Text | Google Scholar

18. D'Ascenzo F, Gonella A, Moretti C, Omede P, Salizzoni S, La Torre M, et al. Gender differences in patients undergoing TAVI: a multicentre study. EuroIntervention. (2013) 9:367–72. doi: 10.4244/EIJV9I3A59

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Vlastra W, Chandrasekhar J, Garcia Del Blanco B, Tchetche D, de Brito FS, Barbanti M, et al. Sex differences in transfemoral transcatheter aortic valve replacement. J Am Coll Cardiol. (2019) 74:2758–67. doi: 10.1016/j.jacc.2019.09.015

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Kaier K, von Zur Muhlen C, Zirlik A, Schmoor C, Roth K, Bothe W, et al. Sex-specific differences in outcome of transcatheter or surgical aortic valve replacement. Can J Cardiol. (2018) 34:992–8. doi: 10.1016/j.cjca.2018.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Humphries KH, Toggweiler S, Rodes-Cabau J, Nombela-Franco L, Dumont E, Wood DA, et al. Sex differences in mortality after transcatheter aortic valve replacement for severe aortic stenosis. J Am Coll Cardiol. (2012) 60:882–6. doi: 10.1016/j.jacc.2012.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Kodali S, Williams MR, Doshi D, Hahn RT, Humphries KH, Nkomo VT, et al. Sex-specific differences at presentation and outcomes among patients undergoing transcatheter aortic valve replacement: a cohort study. Ann Intern Med. (2016) 164:377–84. doi: 10.7326/M15-0121

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Sannino A, Szerlip M, Harrington K, Schiattarella GG, Grayburn PA. Comparison of baseline characteristics and outcomes in men versus women with aortic stenosis undergoing transcatheter aortic valve implantation. Am J Cardiol. (2018) 121:844–9. doi: 10.1016/j.amjcard.2017.12.020

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Katz M, Carlos Bacelar Nunes Filho A, Caixeta A, Antonio Carvalho L, Sarmento-Leite R, Alves Lemos Neto P, et al. Gender-related differences on short- and long-term outcomes of patients undergoing transcatheter aortic valve implantation. Catheter Cardiovasc Interv. (2017) 89:429–36. doi: 10.1002/ccd.26658

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Al-Lamee R, Broyd C, Parker J, Davies JE, Mayet J, Sutaria N, et al. Influence of gender on clinical outcomes following transcatheter aortic valve implantation from the UK transcatheter aortic valve implantation registry and the National Institute for Cardiovascular Outcomes Research. Am J Cardiol. (2014) 113:522–8. doi: 10.1016/j.amjcard.2013.10.024

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Goel H, Kumar A, Garg N, Mills JD. Men are from mars, women are from venus: Factors responsible for gender differences in outcomes after surgical and trans-catheter aortic valve replacement. Trends Cardiovasc Med. (2021) 31:34–46. doi: 10.1016/j.tcm.2019.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Panoulas VF, Francis DP, Ruparelia N, Malik IS, Chukwuemeka A, Sen S, et al. Female-specific survival advantage from transcatheter aortic valve implantation over surgical aortic valve replacement: Meta-analysis of the gender subgroups of randomised controlled trials including 3758 patients. Int J Cardiol. (2018) 250:66–72. doi: 10.1016/j.ijcard.2017.05.047

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Chieffo A, Petronio AS, Mehilli J, Chandrasekhar J, Sartori S, Lefevre T, et al. Acute and 30-day outcomes in women after TAVR: Results from the WIN-TAVI (Women's INternational Transcatheter Aortic Valve Implantation) real-world registry. JACC Cardiovasc Interv. (2016) 9:1589–600. doi: 10.1016/j.jcin.2016.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Chieffo A, Petronio AS, Mehilli J, Chandrasekhar J, Sartori S, Lefevre T, et al. 1-Year clinical outcomes in women after transcatheter aortic valve replacement: results from the first WIN-TAVI registry. JACC Cardiovasc Interv. (2018) 11:1–12. doi: 10.1016/j.jcin.2017.09.034

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Szerlip M, Gualano S, Holper E, Squiers JJ, White JM, Doshi D, et al. Sex-specific outcomes of transcatheter aortic valve replacement with the SAPIEN 3 Valve: Insights from the PARTNER II S3 high-risk and intermediate-risk cohorts. JACC Cardiovasc Interv. (2018) 11:13–20. doi: 10.1016/j.jcin.2017.09.035

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Conrotto F, D'Ascenzo F, Salizzoni S, Presbitero P, Agostoni P, Tamburino C, et al. A gender based analysis of predictors of all cause death after transcatheter aortic valve implantation. Am J Cardiol. (2014) 114:1269–74. doi: 10.1016/j.amjcard.2014.07.053

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Stangl V, Baldenhofer G, Knebel F, Zhang K, Sanad W, Spethmann S, et al. Impact of gender on three-month outcome and left ventricular remodeling after transfemoral transcatheter aortic valve implantation. Am J Cardiol. (2012) 110:884–90. doi: 10.1016/j.amjcard.2012.04.063

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Agency for Healthcare Research and Quality R MD. HCUP National Inpatient Sample (NIS). Healthcare Cost and Utilization Project. Published 2013 (2012). Available online at: www.hcup-us.ahrq.gov/nisoverview.jsp (accessed June 02, 2022).

Google Scholar

34. Elbaz-Greener G, Rozen G, Kusniec F, Marai I, Carasso S, Ko DT, et al. Comparing Trajectory of Surgical Aortic Valve Replacement in the Early vs. Late Transcatheter Aortic Valve Replacement Era. Front Cardiovasc Med. (2021) 8:680123. doi: 10.3389/fcvm.2021.680123

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Steiner C, Elixhauser A, Schnaier J. The healthcare cost and utilization project: an overview. Eff Clin Pract. (2002) 5:143–51.

Google Scholar

36. Hosseini SM, Moazzami K, Rozen G, Vaid J, Saleh A, Heist KE, et al. Utilization and in-hospital complications of cardiac resynchronization therapy: trends in the United States from 2003 to 2013. Eur Heart J. (2017) 38:2122–8. doi: 10.1093/eurheartj/ehx100

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. (1992) 45:613–9. doi: 10.1016/0895-4356(92)90133-8

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Chu YT, Ng YY, Wu SC. Comparison of different comorbidity measures for use with administrative data in predicting short- and long-term mortality. BMC Health Serv Res. (2010) 10:140. doi: 10.1186/1472-6963-10-140

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Radovanovic D, Seifert B, Urban P, Eberli FR, Rickli H, Bertel O, et al. Validity of Charlson Comorbidity Index in patients hospitalised with acute coronary syndrome. Insights from the nationwide AMIS Plus registry 2002-2012. Heart. (2014) 100:288–94. doi: 10.1136/heartjnl-2013-304588

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Hu PP. TAVR and SAVR: current treatment of aortic stenosis. Clin Med Insights Cardiol. (2012) 6:125–39. doi: 10.4137/CMC.S7540

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Zhou XH, Dinh P. Nonparametric confidence intervals for the one- and two-sample problems. Biostatistics. (2005) 6:187–200. doi: 10.1093/biostatistics/kxi002

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Bestehorn K, Eggebrecht H, Fleck E, Bestehorn M, Mehta RH, Kuck KH. Volume-outcome relationship with transfemoral transcatheter aortic valve implantation (TAVI): insights from the compulsory German Quality Assurance Registry on Aortic Valve Replacement (AQUA). EuroIntervention. (2017) 13:914–20. doi: 10.4244/EIJ-D-17-00062

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Krasopoulos G, Falconieri F, Benedetto U, Newton J, Sayeed R, Kharbanda R, et al. European real world trans-catheter aortic valve implantation: systematic review and meta-analysis of European national registries. J Cardiothorac Surg. (2016) 11:159. doi: 10.1186/s13019-016-0552-6

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Khan AA, Dangas G. Why females get better longer-term outcomes with TAVR. Catheter Cardiovasc Interv. (2019) 94:753–4. doi: 10.1002/ccd.28550

PubMed Abstract | CrossRef Full Text | Google Scholar

45. O'Connor SA, Morice MC, Gilard M, Leon MB, Webb JG, Dvir D, et al. Revisiting sex equality with transcatheter aortic valve replacement outcomes: a collaborative, patient-level meta-analysis of 11,310 patients. J Am Coll Cardiol. (2015) 66:221–8. doi: 10.1016/j.jacc.2015.05.024

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Williams M, Kodali SK, Hahn RT, Humphries KH, Nkomo VT, Cohen DJ, et al. Sex-related differences in outcomes after transcatheter or surgical aortic valve replacement in patients with severe aortic stenosis: Insights from the PARTNER Trial (Placement of Aortic Transcatheter Valve). J Am Coll Cardiol. (2014) 63:1522–8. doi: 10.1016/j.jacc.2014.01.036

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Conrotto F, D'Ascenzo F, Presbitero P, Humphries KH, Webb JG, O'Connor SA, et al. Effect of gender after transcatheter aortic valve implantation: a meta-analysis. Ann Thorac Surg. (2015) 99:809–16. doi: 10.1016/j.athoracsur.2014.09.089

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Saad M, Nairooz R, Pothineni NVK, Almomani A, Kovelamudi S, Sardar P, et al. Long-term outcomes with transcatheter aortic valve replacement in women compared with men: evidence from a meta-analysis. JACC Cardiovasc Interv. (2018) 11:24–35. doi: 10.1016/j.jcin.2017.08.015

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Azarbaijani Y, O'Callaghan K, Sanders WE, Wu C, Laschinger J, Marinac-Dabic D, et al. Sex-specific outcomes after transcatheter aortic valve replacement: a review of the literature. Cardiol Rev. (2018) 26:73–81. doi: 10.1097/CRD.0000000000000177

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Kuten D, Krajcer Z. Transcatheter aortic valve replacement in women. Texas Heart Inst J. (2017) 44:341–4. doi: 10.14503/THIJ-17-6241

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Ahmed B, Lischke S, De Sarno M, Holterman LA, Straight F, Dauerman HL. Gender related differences in predictors of vascular complications: role of vessel size and BMI. J Thromb Thrombolysis. (2013) 36:84–90. doi: 10.1007/s11239-012-0847-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: TAVR, aortic valve replacement, transcatheter aortic valve replacement, gender, interventional cardiology

Citation: Elbaz-Greener G, Rahamim E, Abu Ghosh Z, Carasso S, Yarkoni M, Radhakrishnan S, Wijeysundera HC, Igor T, Planer D, Rozen G and Amir O (2022) Sex difference and outcome trends following transcatheter aortic valve replacement. Front. Cardiovasc. Med. 9:1013739. doi: 10.3389/fcvm.2022.1013739

Received: 07 August 2022; Accepted: 08 September 2022;
Published: 18 October 2022.

Edited by:

Xiaofeng Yang, Temple University, United States

Reviewed by:

Zhijian He, The First Affiliated Hospital of Guangdong Pharmaceutical University, China
Ningtian Zhou, Nanjing Medical University, China

Copyright © 2022 Elbaz-Greener, Rahamim, Abu Ghosh, Carasso, Yarkoni, Radhakrishnan, Wijeysundera, Igor, Planer, Rozen and Amir. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gabby Elbaz-Greener, Gabby@hadassah.org.il

These authors have contributed equally to this work

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