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Article

Sex Differences in Characteristics of Patients with Infective Endocarditis: A Multicenter Study

1
Department of Epidemiology and Biostatistics, School of Public Health, West Virginia University, Robert C Byrd Health Sciences Center North, 64 Medical Center Drive, Morgantown, WV 26506, USA
2
Health Education and Research Institute, Charleston Area Medical Center, Charleston, WV 25304, USA
3
Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25755, USA
4
School of Medicine, West Virginia University, Morgantown, WV 26506, USA
5
School of Dentistry, West Virginia University, Morgantown, WV 26506, USA
6
Department of Cardiovascular Medicine, Charleston Area Medical Center, Charleston, WV 25304, USA
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(12), 3514; https://doi.org/10.3390/jcm11123514
Submission received: 10 May 2022 / Revised: 11 June 2022 / Accepted: 15 June 2022 / Published: 18 June 2022
(This article belongs to the Special Issue Clinical Challenges in Endocarditis)

Abstract

:
Infectious diseases like infective endocarditis (IE) may manifest or progress differently between sexes. This study sought to identify the differences in demographic and clinical characteristics among male and female patients with IE. Data were obtained from a newly developed registry comprising all adult patients with first IE admission at the four major tertiary cardiovascular centers in West Virginia, USA during 2014–2018. Patient characteristics were compared between males and females using Chi-square test, Fisher’s exact test, and Wilcoxon rank-sum test. A secondary analysis was restricted to IE patients with drug use only. Among 780 unique patients (390 males, 390 females), significantly more women (a) were younger than males (median age 34.9 vs. 41.4, p < 0.001); (b) reported drug use (77.7% vs. 64.1%, p < 0.001); (c) had tricuspid valve endocarditis (46.4% vs. 30.8%, p < 0.001); and (d) were discharged against medical advice (20% vs. 9.5%, p < 0.001). These differences persisted even within the subgroup of patients with drug use-associated IE. In a state with one of the highest incidences of drug use and overdose deaths, the significantly higher incident IE cases in younger women and higher proportion of women leaving treatment against medical advice are striking. Differential characteristics between male and female patients are important to inform strategies for specialized treatment and care.

1. Introduction

Infective endocarditis (IE) is a potentially lethal disease that carries an in-hospital mortality approximating 20% [1,2]. Further, IE can lead to several cardiovascular complications, with heart failure occurring in up to 40% of patients [3]. Outcomes are worse for IE patients with underlying cardiovascular disease (CVD), especially those with valvular sclerosis [4]. Earlier estimates of IE incidence in the United States were 10–15 per 100,000 population [5], but the number of cases has increased sharply in recent years, predominantly attributable to IE acquired through injection drug use [6].
Many infections present and manifest differently in male and female patients. The physiological and anatomical differences in males and females may result in differences in the exposure, transmission, and control of a pathogen [7]. The immune system is also affected by sex [8]. Despite sex differences influencing the response to infectious diseases, they are largely overlooked [9]. Indeed, IE reportedly occurs more frequently in men, with a male-female ratio ranging between 2:1 and 9:1 [10,11,12,13]. Beyond this, however, sex differences are not adequately defined for causative agents, pre-exiting conditions, management, and outcomes among IE patients.
The few existing studies on sex differences in IE yielded contradictory findings [10,13,14,15,16]. In two prospective studies of patients with IE, results showed sex differences in univariate analysis; however, multivariable analyses demonstrated that underlying comorbidities or preoperative risk factors, and not sex differences, were the reasons for the observed differences in the clinical outcomes between male and female patients with IE [13,17]. Sex differences were also not evident in treatment strategies, in-hospital outcomes, or mortality in patients with IE [15,16]. In contrast, a recent retrospective study reported significant differences between sexes in infective organisms found in IE [14]. Female sex was found to be independently associated with higher mortality among patients with IE [10,14]. Additionally, among patients with native valve IE, men are more likely to have aortic valve involvement while females are more likely to have mitral valve involvement [17].
Sex can affect the risk of presentation of several health conditions, including cardiovascular diseases (CVD). Females have a lower risk of CVD before menopause, which, from animal model studies, is attributed to the potential protective roles of estrogen against endothelial damage [18,19]. However, this protective effect is abated by female-specific CVD risks such as hormonal contraceptives use, pregnancy related complications, and menopausal transition, all of which can increase CVD risk [20]. Importantly, the higher rate of CVD comorbidities in post-menopausal women could increase their risk of a severe presentation of IE with unfavorable outcomes. Comorbidities could also contribute to the observed sex differences in the management and outcomes of IE [13]. Conversely, physiological differences and manifestation of IE could further amplify its morbidity and mortality in female patients. Moreover, patients with more severe presentation of IE may not be eligible for invasive therapeutic options, given inherent morbidity/mortality risk associated with the intervention.
A richer understanding of potential sex differences in IE would benefit approaches to prevention, treatment, and management of IE. In this study, we assessed demographic and clinical characteristics by sex for patients with IE and their substance use behaviors, capturing most of the cases in an Appalachian state (West Virginia, WV) with one of the highest incidences of drug use and overdose deaths in the United States of America.

2. Methods

This study utilized data from a recent database developed from a comprehensive multisite chart review of electronic medical records of all adult patients ≥18 and <90 years of age with IE admitted at the four major tertiary cardiovascular centers in WV between 1 January 2014 and 31 December 2018. The hospitals in the study are the only tertiary centers in the state with the capability to perform heart surgery, and patients are referred to these centers from across the entire state. The team of cardiologists, infectious disease specialists, and other providers that worked on this project have a consensus based on discussions with colleagues that 90–95% of the IE cases in the state are likely to be treated in these four centers, and therefore the database is as representative of IE cases in the entire state as is possible.
Only the first admission was considered for each patient. Patients were identified by IE-associated ICD 10 codes (B376, I33.0, I33.9, I34.0, I34.8, I35.0, I35.1, I35.2, I35.8, I35.9, I36.0, I36.8, I37.0, I37.8, I38, I39) included in their electronic medical records. Manual chart reviews were performed for confirmed IE diagnosis. Study data were collected and managed using REDCap electronic data capture tools hosted at West Virginia University [21]. West Virginia University served as the Institutional Review Board of oversight and approved the study (IRB protocol number: 1811373348).
Data on race (white vs. other/mixed), age (continuous), smoking status (current smoker, ex-smoker, non-smoker), alcohol use (current alcohol use, ex-alcohol use and no alcohol use), drug use before hospital admission, discharge status, including discharged against medical advice (AMA) and death, comorbidities, psychiatric disorders, affected valve, and causative organisms are presented by sex (male/female). The microbiology labs in all centers used the MALDI-TOF mass spec identifications as the primary method for identification of yeast and bacteria.
We present categorical variables as counts and percentages. Chi-square test or Fisher’s exact test when expected cell count was <5 were used to compare between groups with two categories. Continuous variables are presented as median and interquartile range (IQR). Medians were compared using the nonparametric Wilcoxon rank-sum test. Statistical analyses were conducted using SPSS version 27. Statistical significance was accepted at p < 0.05. P-values were highlighted for statistical significance in the tables after adjustments were made using Bonferroni correction wherever multiple tests were conducted. In addition, we conducted a secondary analysis among the subset of IE patients with drug use given the potential differences in characteristics associated with drug use.

3. Results

In a medical chart review of electronic health records covering the four largest university-affiliated hospitals in WV, we identified 780 unique patients with IE across 5 years. Incident IE cases were equal by sex, with 390 males and 390 females. The incidence of IE increased during the study period (2014–2018), but the increase was similar among males and females (Table 1).
Some demographic and clinical characteristics differed significantly by sex for patients with IE (Table 1). Female patients were significantly younger overall than males (median age 34.9 vs. 41.4, p < 0.001). Compared with males, a higher proportion of females were in the younger (18–44 years) age group (72.1% vs. 55.3%, p < 0.001) (Figure 1); were current smokers (71.8% vs. 56.2%, p < 0.001); had used drugs before hospital admission (77.7% vs. 64.1%, p < 0.001). There was no statistically significant difference between sexes over the years with respect to current alcohol use. However, we did see an increasing proportion of female patients with IE who were current smokers from 2014 to 2018 (data not shown).
Further, as presented in Table 2, a significantly higher proportion of women had some forms of psychiatric disorders, specifically, depression (27.2% vs. 14.4%, p < 0.001) and bipolar disorder (8.2% vs. 2.3%, p < 0.001). There was no significant difference between males and females concerning substance use disorder. Similarly, significantly more women had two or more psychiatric disorders (29.0% vs. 17.7%, p < 0.001). However, more men had comorbidities other than psychiatric disorders, such as coronary artery disease (15.9% vs. 8.5%, p = 0.001) and peripheral vascular disease (10% vs. 4.6%, p = 0.004). We did not find statistically significant difference between sexes with respect to comorbidities when analyzed separately by years (data not shown).
Male and female patients also differed in the clinical characteristics of IE. A significantly larger proportion of females compared to males had tricuspid valve endocarditis (53.8% vs. 36.4%, p < 0.001); more men had aortic valve endocarditis (35.6% vs. 15.4%, p < 0.001). A significantly larger proportion of men compared to women had IE caused by Streptococcus, including Viridans Streptococci (16.4% vs. 8.0%, p < 0.001) and Enterococcus species (10.8% vs. 4.6%, p = 0.001).
Hospital discharges also differed by sex. Significantly more men than women were discharged alive after treatment completion (80.3% vs. 71%, p = 0.003). Strikingly, the percentage of women discharged against medical advice (AMA) was twice that of men (20% vs. 9.5%, p < 0.001). When stratified by age (<50 vs. >=50) as a proxy for postmenopausal age, we found statistically significant difference in mortality among older women compared with younger women; but this difference did not exist among men (data not shown).
Table 3 shows the results among the subgroup of patients with drug use-associated IE, which were consistent with the characteristics of the overall sample. Female patients with drug use-associated IE were significantly younger overall than males (median age 35.7 vs. 32.2, p < 0.001). Significantly more women had two or more psychiatric disorders (34.6% vs. 25.6%, p < 0.039), with more depression and bipolar disorder. A significantly larger proportion of females compared to males had tricuspid valve endocarditis (65.7% vs. 44.8%, p < 0.001); more men had aortic valve endocarditis (29.6% vs. 12.2%, p < 0.001). Lastly, a significantly higher proportion of women were discharged against medical advice (24.8% vs. 14%, p = 0.002). In this sub-population, there were no statistically significant differences between men and women in MRSA-associated IE and substance use disorder, unlike the overall patients with IE. Over 70% of the patients with drug use had documentation in their charts that they injected drugs (data not shown).

4. Discussion

In this large retrospective study incorporating review of electronic medical records from the four largest university-affiliated hospitals in WV during 2014–2018, we found an equal incidence of IE among males and females, but several statistically significant sex-related differences in demographic and clinical characteristics. Female patients with IE were much younger overall, current smokers, had drug use—particularly injection drug use—before hospital admission, used opioids and polydrugs, were on medication for opioid use disorder before hospital admission, and had higher burden of psychiatric disorders, including, depression, anxiety, and bipolar disorder. However, when the analysis was restricted to patients with drug use-associated IE only, men and women were not significantly different in the diagnosis of substance use disorder, suggesting that the disorder was largely linked to drug use.
In this study, we observed that the incidence of hospital visits for IE grew annually across the study period for both males and females. This is consistent with a significant increase in the incidence of IE in the United States (US) [22]. While most studies reported a male predominance of IE [10,14,15,22,23,24], a few noted a higher proportion of females with IE [25,26]. The incidence of IE was similar in both sexes in our study. Data from the United States Census Bureau show that women make up about equal proportion (49.5%) of the state population and the proportion of male to female population has remained constant during the study period (2014–2018) [27].
Findings on the average age of male and female patients with IE have been contradictory. Several studies showed that male patients were significantly older than female patients [15,28]; others concluded the opposite [10,14]. Notably, prior work also indicated significant increases in IE rates with increasing age in both sexes [23,29]. In our study, we found a significantly lower average age for females with IE compared with males; the incidence of IE was also higher in younger females (18–44 years). Our results corroborate those of a study utilizing data from the Health Care and Utilization Project National Inpatient Sample between 2000 and 2013, which found a trend of injection drug use-associated IE hospitalizations shifting toward younger white females [30]. Estimates from a household interview survey of the US civilian population demonstrate that over 42% of the population, aged 18–34 years, reported non-medical use of medication or psychoactive substance in the past month compared to 8% of the people aged 35 years or older [31]. Findings demonstrate the higher prevalence of drug use in the younger population, the prevalent opioid epidemic in the geographic region, and injection drug use-related IE being the predominant etiology.
There is an association between smoking, non-medical drug use, and IE [32]. In our study, while a high proportion of both men and women with IE were current smokers, significantly more women than men were current smokers. WV data from the Behavioral Risk Factor Surveillance System (BRFSS) for the years 2016–2018 show no significant gender difference in the prevalence of current cigarette smoking: men—25.7%, 25.1%, 25.8%, and women—24.8%, 26.9%, 23.9% for the years 2018–2016, respectively—unlike the data from our study [33]. Compared to the BRFSS data, the proportion of smokers among our patient population was much higher (2.2 times higher in males and 2.8 times higher among female patients with IE). The prevalence of heavy drinking in BRFSS was significantly higher among men than among women in WV: with men having prevalences of 6.5%, 4.5%, and 4.6%, and women having prevalences of 2.1%, 2.7%, and 2.5% for the same years. Our data also show a significantly higher proportion of male patients with IE who had current alcohol use.
While findings from our study demonstrate significantly more female patients with tricuspid valve endocarditis, other studies found either equal involvement of the tricuspid valve among both males and females or more among male patients [17,34]. The tricuspid valve is commonly affected among the IE patients with injection drug use [24], and we observed a higher proportion of female patients with drug use in our study. Strikingly, unlike our results, other studies found a higher proportion of female patients who were diagnosed with mitral valve endocarditis [11,13,17,35]. Our observation of higher involvement of aortic valve among male patients with IE corroborate findings from other studies [11,17,36].
Interestingly, we also detected differences by sex in the causal organisms. A large cohort study demonstrated the role of host or pathogen-specific characteristics and association with poor outcomes in patients with IE [37]. Consistent with prior studies [38,39], Staphylococcus was the leading causative microorganism of IE in our study. However, MRSA organisms were detected in almost half (47.3%) of female patients with IE, which was significantly higher when compared with male patients. A recent study in patients with IE in Egypt showed that more males, compared with females, had Staphylococcal organisms, though the difference was not statistically significant [15]. Our study found that more men compared with women had other Streptococcus and Enterococcus species. However, we did not collect data on the bacteria classified as “other streptococci”. In our study, the difference in MRSA-associated IE ceased to exist when restricted to drug use-associated IE, indicating an association between drug use and MRSA infection.
Discharges AMA are associated with poor prognosis, including higher mortality and readmissions [40,41]. Yet, it is common for patients with IE to leave the hospital AMA, especially among people who inject drugs [40,42]. Our analysis showed females are more likely to leave AMA compared to males. These findings are different from many studies where the general trend is higher proportion of men being discharged AMA [40,43,44,45]. There are several possible reasons for discharge AMA, especially for women, which may include childcare, craving for drugs, poor pain control, opioid withdrawal, or dissatisfaction within the hospital setting. We did not observe a difference between in-hospital mortality in male and female patients, similar to another large prospective French study [11]. However, studies have found conflicting results, with higher in-hospital mortality in women [13,35] or men [46]. Since female patients in our study had a high rate of discharge AMA, a prospective cohort study following the patients who were discharged AMA is critical to understanding the reasons for these outcomes.
This study has some limitations. A limitation of the retrospective design is the lack of long-term follow-up data, especially for patient outcomes after discharge from hospital. Additionally, because WV’s population is primarily white [47], the results may not be generalizable to IE patients of other racial groups. While some IE patients in the state may not have been treated in our referral hospitals, the increase in female cases is unlikely be a result of differing referral patterns, as there are no other instate tertiary care hospitals available and most IE cases would not be able to afford out-of-state treatment.
The strengths of our study include data from multiple large tertiary care institutions that are geographically dispersed in the state of WV. We conducted a thorough medical record review of every patient, reviewing the information from several different sources within the record, such as hospital narratives, history and physical notes, operative notes, consultation notes, screening and test results, and discharge summary. Therefore, we were able to overcome the problem of missing information that generally arises from data retrieved only on the basis of ICD-CM codes. In addition, the availability of data in medical charts offered a low-cost option for us to develop the database that we used for this study. We adequately identified and operationalized the study variables, and trained and monitored the data abstractors. We used standardized abstraction form through REDCap that provided a centralized data storage location and reduced input and data transcription error. We had access to granular data for both male and female patients with IE, including the microbiologic etiology, type of IE (right versus left-sided), and comorbidities.

5. Conclusions

The significantly higher incidence of IE in younger women and higher proportion of women leaving treatment against medical advice are distinct features in a state with one of the highest incidences of drug use and overdose deaths. These differential characteristics between male and female patients suggest that younger females with injection drug use are more susceptible to developing IE than similarly aged males. More clinical and social-behavioral research is needed to explain the possible reasons for this discrepancy between younger males and females. Sex differences may help inform strategies for specialized treatment and care, and guide future research to better understand risk differences among male and female patients with IE.

Author Contributions

Conceptualization, R.B., S.T., F.H.A., U.K., A.I., A.N., M.B. and M.A.F.; Data curation, R.B. and U.K.; Formal analysis, R.B. and T.A.; Funding acquisition, R.B., F.H.A., A.I., A.N., M.B. and M.A.F.; Investigation, R.B.; Methodology, R.B., T.A., F.H.A., U.K., A.I., S.B., R.C.W., C.C., M.B., G.S.S., J.F. and M.A.F.; Project administration, R.B., A.N., G.S.S. and M.A.F.; Resources, R.B., S.B., R.C.W., C.C., E.T., J.F. and M.A.F.; Software, R.B.; Supervision, R.B.; Validation, R.B.; Visualization, R.B.; Writing—original draft, R.B. and S.T.; Writing—review & editing, R.B., S.T., T.A., F.H.A., U.K., A.I., S.B., R.C.W., C.C., A.N., M.B., E.T., G.S.S., J.F. and M.A.F. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the United States National Institute of General Medical Sciences [Grant number: U54GM104942] and National Institute on Drug Abuse [Grant number: 1UG3DA044825].

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of West Virginia University (protocol code 1811373348; date of approval March 29, 2019).

Informed Consent Statement

Informed consent was waived because the study was a retrospective chart review and no patient was contacted.

Data Availability Statement

Data underlying this study are from an approved repository that houses clinical data from the four healthcare systems in West Virginia. These data contain full Protected Health Information (PHI) and thus, legally cannot be shared publicly.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ternhag, A.; Cederström, A.; Törner, A.; Westling, K. A nationwide cohort study of mortality risk and long-term prognosis in infective endocarditis in Sweden. PLoS ONE 2013, 8, e67519. [Google Scholar] [CrossRef] [PubMed]
  2. Duval, X.; Delahaye, F.; Alla, F.; Tattevin, P.; Obadia, J.F.; Le Moing, V.; Doco-Lecompte, T.; Celard, M.; Poyart, C.; Strady, C.; et al. AEPEI Study Group. Temporal trends in infective endocarditis in the context of prophylaxis guideline modifications: Three successive population-based surveys. J. Am. Coll. Cardiol. 2012, 59, 1968–1976. [Google Scholar] [CrossRef]
  3. Kiefer, T.; Park, L.; Tribouilloy, C.; Cortes, C.; Casillo, R.; Chu, V.; Delahaye, F.; Durante-Mangoni, E.; Edathodu, J.; Falces, C.; et al. Association between valvular surgery and mortality among patients with infective endocarditis complicated by heart failure. J. Am. Med. Assoc. 2011, 306, 2239–2247. [Google Scholar] [CrossRef] [PubMed]
  4. Iung, B.; Duval, X. Infective endocarditis: Innovations in the management of an old disease. Nat. Rev. Cardiol. 2019, 16, 623–635. [Google Scholar] [CrossRef] [PubMed]
  5. Pant, S.; Patel, N.J.; Deshmukh, A.; Golwala, H.; Patel, N.; Badheka, A.; Hirsch, G.A.; Mehta, J.L. Trends in infective endocarditis incidence, microbiology, and valve replacement in the United States from 2000 to 2011. J. Am. Coll. Cardiol. 2015, 65, 2070–2076. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Talha, K.M.; Dayer, M.J.; Thornhill, M.H.; Tariq, W.; Arshad, V.; Tleyjeh, I.M.; Bailey, K.R.; Palraj, R.; Anavekar, N.S.; Rizwan Sohail, M.; et al. Temporal Trends of Infective Endocarditis in North America from 2000 to 2017-A Systematic Review. Open Forum Infect Dis. 2021, 8, ofab479. [Google Scholar] [CrossRef]
  7. vom Steeg, L.G.; Klein, S.L. SeXX Matters in Infectious Disease Pathogenesis. PLoS Pathog. 2016, 12, e1005374. [Google Scholar] [CrossRef] [Green Version]
  8. Klein, S.L.; Flanagan, K.L. Sex differences in immune responses. Nat. Rev. Immunol. 2016, 16, 626–638. [Google Scholar] [CrossRef]
  9. Ingersoll, M.A. Sex differences shape the response to infectious diseases. PLoS Pathog. 2017, 13, e1006688. [Google Scholar] [CrossRef]
  10. Dohmen, P.M.; Binner, C.; Mende, M.; Daviewala, P.; Etz, C.D.; Borger, M.A.; Misfeld, M.; Eifert, S.; Mohr, F.W. Gender-based long-term surgical outcome in patients with active infective aortic valve endocarditis. Med. Sci. Monitor. 2016, 22, 2520–2527. [Google Scholar] [CrossRef] [Green Version]
  11. Curlier, E.; Hoen, B.; Alla, F.; Selton-Suty, C.; Schubel, L.; Doco-Lecompte, T.; Minary, L.; Erpelding, M.-L.; Duval, X.; Chirouze, C. Relationships between sex, early valve surgery and mortality in patients with left-sided infective endocarditis analysed in a population-based cohort study. Heart 2014, 100, 1173–1178. [Google Scholar] [CrossRef] [PubMed]
  12. Murdoch, D.R.; Corey, G.R.; Hoen, B.; Miró, J.M.; Fowler, V.G.; Bayer, A.S.; Karchmer, A.W.; Olaison, L.; Pappas, P.A.; Moreillon, P.; et al. Clinical presentation, etiology, and outcome of infective endocarditis in the 21st century: The International Collaboration on Endocarditis-Prospective Cohort Study. Arch. Intern. Med. 2009, 169, 463–473. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Aksoy, O.; Meyer, L.T.; Cabell, C.H.; Kourany, W.M.; Pappas, P.A.; Sexton, D.J. Gender differences in infective endocarditis: Pre- and co-morbid conditions lead to different management and outcomes in female patients. Scand. J. Infect. Dis. 2007, 39, 101–107. [Google Scholar] [CrossRef] [PubMed]
  14. Polishchuk, I.; Stavi, V.; Awesat, J.; Golan, Y.B.B.; Bartal, C.; Sagy, I.; Jotkowitz, A.; Barski, L. Sex differences in infective endocarditis. Am. J. Med. Sci. 2021, 361, 83–89. [Google Scholar] [CrossRef] [PubMed]
  15. Elamragy, A.A.; Meshaal, M.S.; El-Kholy, A.A.; Rizk, H.H. Gender differences in clinical features and complications of infective endocarditis: 11-year experience of a single institute in Egypt. Egypt. Heart J. 2020, 72, 5. [Google Scholar] [CrossRef] [PubMed]
  16. Sevilla, T.; Revilla, A.; López, J.; Vilacosta, I.; Sarriá, C.; Gómez, I.; García, H.; San Román, J.A. Influence of sex on left-sided infective endocarditis. Rev. Española Cardiol. 2010, 63, 1497–1500. [Google Scholar] [CrossRef]
  17. Weber, C.; Gassa, A.; Rokohl, A.; Sabashnikov, A.; Deppe, A.C.; Eghbalzadeh, K.; Merkle, J.; Hamacher, S.; Liakopoulos, O.J.; Wahlers, T. Severity of presentation, not sex, increases risk of surgery for infective endocarditis. Ann. Thorac. Surg. 2019, 107, 1111–1117. [Google Scholar] [CrossRef]
  18. Bakir, S.; Mori, T.; Durand, J.; Chen, Y.F.; Thompson, J.A.; Oparil, S. Estrogen-induced vasoprotection is estrogen receptor dependent: Evidence from the balloon-injured rat carotid artery model. Circulation 2000, 101, 2342–2344. [Google Scholar] [CrossRef] [Green Version]
  19. Zellweger, R.; Wichmann, M.W.; Ayala, A.; Stein, S.; DeMaso, C.M.; Chaudry, I.H. Females in proestrus state maintain splenic immune functions and tolerate sepsis better than males. Crit. Care Med. 1997, 25, 106–110. [Google Scholar] [CrossRef]
  20. Garcia, M.; Mulvagh, S.L.; Merz, C.N.; Buring, J.E.; Manson, J.E. Cardiovascular Disease in Women: Clinical Perspectives. Circ. Res. 2016, 118, 1273–1293. [Google Scholar] [CrossRef]
  21. Harris, P.A.; Taylor, R.; Thielke, R.; Payne, J.; Gonzalez, N.; Conde, J.G. Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. J. Biomed. Inform. 2009, 42, 377–381. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Khan, M.Z. Racial and gender trends in infective endocarditis related deaths in United States (2004–2017). Am. J. Cardiol. 2020, 129, 125–126. [Google Scholar] [CrossRef] [PubMed]
  23. Baddour, L.M.; Shafiyi, A.; Lahr, B.D.; Anavekar, N.S.; Steckelberg, J.M.; Wilson, W.R.; Sohail, M.R.; DeSimone, D.C. A contemporary population-based profile of infective endocarditis using the expanded Rochester Epidemiology Project. Mayo Clin. Proc. 2021, 96, 1438–1445. [Google Scholar] [CrossRef] [PubMed]
  24. Mori, M.; Brown, K.J.; Bin Mahmood, S.U.; Geirsson, A.; Mangi, A.A. Trends in infective endocarditis hospitalizations, characteristics, and valve operations in patients with opioid use disorders in the United States: 2005–2014. J. Am. Heart Assoc. 2020, 9, e012465. [Google Scholar] [CrossRef]
  25. Nenninger, E.K.; Carwile, J.L.; Ahrens, K.A.; Armstrong, B.; Thakarar, K. Rural–urban differences in hospitalizations for opioid use–associated infective endocarditis in the United States, 2003–2016. Open Forum Infect. Dis. 2020, 7, ofaa45. [Google Scholar] [CrossRef]
  26. Capizzi, J.; Leahy, J.; Wheelock, H.; Garcia, J.; Strnad, L.; Sikka, M.; Englander, H.; Thomas, A.; Korthuis, P.T.; Menza, T.W. Population-based trends in hospitalizations due to injection drug use related serious bacterial infections, Oregon, 2008 to 2018. PLoS ONE 2020, 15, e0242165. [Google Scholar] [CrossRef]
  27. United States Census Bureau. ACS Demographic and Housing Estimates. 2018. Available online: https://data.census.gov/cedsci/table?g=0400000US54&y=2018 (accessed on 2 June 2022).
  28. Slipczuk, L.; Codolosa, J.N.; Davila, C.D.; Romero-Corral, A.; Yun, J.; Pressman, G.S.; Figueredo, V.M. Infective endocarditis epidemiology over five decades: A systematic review. PLoS ONE 2013, 8, e82665. [Google Scholar] [CrossRef]
  29. DeSimone, D.C.; Lahr, B.D.; Anavekar, N.S.; Sohail, M.R.; Tleyjeh, I.M.; Wilson, W.R.; Baddour, L.M. Temporal trends of infective endocarditis in Olmsted County, Minnesota, between 1970 and 2018: A population-based analysis. Open Forum Infect. Dis. 2021, 8, ofab038. [Google Scholar] [CrossRef]
  30. Wurcel, A.G.; Anderson, J.E.; Chui, K.K.; Skinner, S.; Knox, T.A.; Snydman, D.R.; Stopka, T.J. Increasing infectious endocarditis admissions among young people who inject drugs. Open Forum Infect. Dis. 2016, 3, ofw157. [Google Scholar] [CrossRef] [Green Version]
  31. National Survey on Drug Use and Health (NSDUH), Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. Available online: https://www.cdc.gov/nchs/data/hus/2019/020-508.pdf (accessed on 17 June 2021).
  32. Pazdernik, M.; Wohlfahrt, P.; Kautzner, J.; Kettner, J.; Sochman, J.; Stasek, J.; Solar, M.; Pelouch, R.; Vojacek, J. Clinical predictors of complications in patients with left-sided infective endocarditis: A retrospective study of 206 episodes. Bratisl. Med. J. 2019, 120, 510–515. [Google Scholar] [CrossRef]
  33. WV Department of Health and Human Resources, Health Statistics Center. West Virginia Behavioral Risk Factor Surveillance System Report, 2018. Available online: http://www.wvdhhr.org/bph/hsc/pubs/brfss/2018/BRFSS2018.pdf (accessed on 12 August 2021).
  34. Galal, H.; Rifaei, O.; Abdel Rahman, M.; El-Sayed, H. Prevalence and characteristics of tricuspid valve endocarditis among patients presented to Ain Shams Hospital echocardiography lab; one year study. Egypt. Heart J. 2018, 70, 59–63. [Google Scholar] [CrossRef] [PubMed]
  35. Sambola, A.; Fernández-Hidalgo, N.; Almirante, B.; Roca, I.; González-Alujas, T.; Serra, B.; Pahissa, A.; García-Dorado, D.; Tornos, P. Sex differences in native-valve infective endocarditis in a single tertiary-care hospital. Am. J. Cardiol. 2010, 106, 92–98. [Google Scholar] [CrossRef]
  36. Thuny, F.; Giorgi, R.; Habachi, R.; Ansaldi, S.; Le Dolley, Y.; Casalta, J.P.; Avierinos, J.F.; Riberi, A.; Renard, S.; Collart, F.; et al. Excess mortality and morbidity in patients surviving infective endocarditis. Am. Heart J. 2012, 164, 94–101. [Google Scholar] [CrossRef] [PubMed]
  37. Cervera, C.; Castañeda, X.; de la Maria, C.G.; del Rio, A.; Moreno, A.; Soy, D.; Pericas, J.M.; Falces, C.; Armero, Y.; Almela, M.; et al. Hospital Clinic Endocarditis Study Group. Effect of vancomycin minimal inhibitory concentration on the outcome of methicillin-susceptible Staphylococcus aureus endocarditis. Clin. Infect. Dis. 2014, 58, 1668–1675. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Holland, D.J.; Simos, P.A.; Yoon, J.; Sivabalan, P.; Ramnarain, J.; Runnegar, N.J. Infective endocarditis: A contemporary study of microbiology, echocardiography and associated clinical outcomes at a major tertiary referral centre. Heart Lung Circ. 2020, 29, 840–850. [Google Scholar] [CrossRef] [PubMed]
  39. Trifunovic, D.; Vujisic-Tesic, B.; Obrenovic-Kircanski, B.; Ivanovic, B.; Kalimanovska-Ostric, D.; Petrovic, M.; Boricic-Kostic, M.; Matic, S.; Stevanovic, G.; Marinkovic, J.; et al. The relationship between causative microorganisms and cardiac lesions caused by infective endocarditis: New perspectives from the contemporary cohort of patients. J. Cardiol. 2018, 71, 291–298. [Google Scholar] [CrossRef] [Green Version]
  40. Ti, L.; Ti, L. Leaving the hospital against medical advice among people who use illicit drugs: A systematic review. Am. J. Public Health 2015, 105, e53–e59. [Google Scholar] [CrossRef]
  41. Kumar, N. Burden of 30-day readmissions associated with discharge against medical advice among inpatients in the United States. Am. J. Med. 2019, 132, 708–717.e4. [Google Scholar] [CrossRef]
  42. Rudasill, S.E.; Sanaiha, Y.; Mardock, A.L.; Khoury, H.; Xing, H.; Antonios, J.W.; McKinnell, J.A.; Benharash, P. Clinical outcomes of infective endocarditis in injection drug users. J. Am. Coll. Cardiol. 2019, 73, 559–570. [Google Scholar] [CrossRef]
  43. Kraut, A.; Fransoo, R.; Olafson, K.; Ramsey, C.D.; Yogendran, M.; Garland, A. A population-based analysis of leaving the hospital against medical advice: Incidence and associated variables. BMC Health Serv. Res. 2013, 13, 415. [Google Scholar] [CrossRef] [Green Version]
  44. Tawk, R.; Dutton, M. Racial differences in length of stay for patients who leave against medical advice from, U.S. general hospitals. Int. J. Environ. Res. Public Health 2015, 13, 95. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Yong, T.Y.; Fok, J.S.; Hakendorf, P.; Ben-Tovim, D.; Thompson, C.H.; Li, J.Y. Characteristics and outcomes of discharges against medical advice among hospitalised patients. J. Intern. Med. 2013, 43, 798–802. [Google Scholar] [CrossRef] [PubMed]
  46. Ahtela, E.; Oksi, J.; Sipilä, J.; Rautava, P.; Kytö, V. Occurrence of fatal infective endocarditis: A population-based study in Finland. BMC Infect. Dis. 2019, 19, 987. [Google Scholar] [CrossRef] [PubMed]
  47. West Virginia Department of Health and Human Resources (WVDHHR), Bureau for Public Health, Division of Health Promotion and Chronic Disease. Fast Facts: Statistics about the population of West Virginia, US Census 2018. Available online: https://dhhr.wv.gov/hpcd/data_reports/Pages/Fast-Facts.aspx (accessed on 17 June 2021).
Figure 1. Number of male and female patients with infective endocarditis in West Virginia by age groups: 2014–2018.
Figure 1. Number of male and female patients with infective endocarditis in West Virginia by age groups: 2014–2018.
Jcm 11 03514 g001
Table 1. Characteristics of male and female patients with IE* in WV: 2014–2018.
Table 1. Characteristics of male and female patients with IE* in WV: 2014–2018.
Male Female p-Value
N = 39050.0%N = 39050.0%
N%N%
Year 0.543
2014287.2225.6
20154511.5348.7
20166616.97619.5
201711529.511629.7
201813634.914236.4
Race 0.962
White/Caucasian37295.436493.3
Other/Mixed102.6102.6
Missing82.1164.1
Smoking status <0.001
Current smoker21956.228071.8
Ex-smoker8020.5328.2
Non-smoker5514.14311.0
Missing369.2359.0
Alcohol use <0.001
Current alcohol use9023.16516.7
Prior alcohol use5413.8143.6
No alcohol use18747.922156.7
Missing5915.19023.1
Drug use <0.001
Yes25064.130377.7
No13233.88221.0
Missing82.151.3
AgeMedianIQR**MedianIQR**<0.001
41.4226.8734.9419.02
IE*: infective endocarditis; IQR**: inter-quartile range.
Table 2. Clinical features of patients with IE* stratified by sex.
Table 2. Clinical features of patients with IE* stratified by sex.
Male Female p-Value
N = 39050.0%N = 39050.0%
N%N%
Causative organisms
MRSA14837.918547.40.007
MSSA††9123.311228.70.087
Other4110.5348.7<0.01
Other Streptococci species4311.0266.70.032
Enterococcus species4210.8184.60.001
Candida species225.6266.70.551
Serratia species194.9235.90.526
Culture negative164.1164.11.000
Viridans Streptococci215.451.30.001
Klebsiella species92.371.80.613
Comorbidities
Psychiatric disorders14236.417845.60.009
Hypertension13233.89825.10.008
Type 2 Diabetes6516.75814.90.492
Coronary Artery Disease6215.9338.50.001
Chronic lung disease4511.54411.30.910
Hyperlipidemia5313.6328.20.016
Acute kidney injury369.24110.50.548
Chronic kidney disease4511.5256.40.012
Stroke307.7317.90.894
Peripheral vascular disease3910.0184.60.004
Metastatic infections153.8246.20.139
Number of comorbidities 0.619
09123.310025.6
113534.613835.4
26717.27017.9
3 or more9724.98221.0
Psychiatric disorders
Substance Use disorder11128.512231.30.389
Depression5614.410627.2<0.001
Anxiety5814.98321.30.020
Bipolar disorder92.3328.2<0.001
Post Traumatic Stress Disorder123.1246.20.041
Number of psychiatric disorders 0.001
17218.56316.2
2389.75113.1
3 or more317.96215.9
0 or missing24963.821454.9
Valve
Tricuspid14236.421053.8<0.001
Mitral11128.512431.80.31
Aortic13935.66015.4<0.001
Pulmonic102.6133.30.525
Discharge status
Discharge alive31380.327771.00.003
Death4010.3359.00.544
Against Medical Advice379.57820.0<0.001
IE*: infective endocarditis; MRSA: staphylococcus aureus, methicillin resistant; MSSA††: staphylococcus aureus, methicillin.
Table 3. Clinical features of patients with drug use-associated IE* stratified by sex.
Table 3. Clinical features of patients with drug use-associated IE* stratified by sex.
Male Female p-Value
N = 250 N = 303
N%N%
Smoking status 0.001
Current smoker18373.225383.5
Ex-smoker3012.0134.3
Non-smoker166.4103.3
Missing208.0278.9
Alcohol use <0.001
Current alcohol use6024.05718.8
Prior alcohol use4016.0124.0
No alcohol use11144.416554.5
Missing3815.26822.4
Comorbidities
Psychiatric disorders12449.615952.50.501
Hypertension4417.64615.20.443
Type 2 diabetes176.8227.30.833
Coronary artery disease156.082.60.049
Chronic lung disease187.2258.30.646
Hyperlipidemia114.482.60.258
Acute kidney injury176.83210.60.121
Chronic kidney disease145.693.00.123
Stroke176.8155.00.354
Peripheral vascular disease166.462.00.008
Metastatic infections83.2227.30.036
Psychiatric disorders
Substance use disorder10742.811838.90.358
Depression4417.69330.7<0.001
Anxiety5020.07424.40.215
Bipolar disorder93.63110.20.003
Post traumatic stress disorder124.8247.90.139
Number of psychiatric disorders 0.039
16024.05217.2
23313.24414.5
3 or more3112.46120.1
0 or missing12650.414648.2
Valve
Tricuspid11244.819965.7<0.001
Mitral6425.67223.80.617
Aortic7429.63712.2<0.001
Pulmonic93.6124.00.825
Discharge status
Discharge alive19276.821169.60.059
Death239.2175.60.105
Against medical advice3514.07524.80.002
AgeMedianIQR**MedianIQR**<0.001
35.6613.0732.1913.28
IE*: infective endocarditis; IQR**: inter-quartile range.
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Bhandari, R.; Tiwari, S.; Alexander, T.; Annie, F.H.; Kaleem, U.; Irfan, A.; Balla, S.; Wiener, R.C.; Cook, C.; Nanjundappa, A.; et al. Sex Differences in Characteristics of Patients with Infective Endocarditis: A Multicenter Study. J. Clin. Med. 2022, 11, 3514. https://doi.org/10.3390/jcm11123514

AMA Style

Bhandari R, Tiwari S, Alexander T, Annie FH, Kaleem U, Irfan A, Balla S, Wiener RC, Cook C, Nanjundappa A, et al. Sex Differences in Characteristics of Patients with Infective Endocarditis: A Multicenter Study. Journal of Clinical Medicine. 2022; 11(12):3514. https://doi.org/10.3390/jcm11123514

Chicago/Turabian Style

Bhandari, Ruchi, Shabnam Tiwari, Talia Alexander, Frank H. Annie, Umar Kaleem, Affan Irfan, Sudarshan Balla, R. Constance Wiener, Chris Cook, Aravinda Nanjundappa, and et al. 2022. "Sex Differences in Characteristics of Patients with Infective Endocarditis: A Multicenter Study" Journal of Clinical Medicine 11, no. 12: 3514. https://doi.org/10.3390/jcm11123514

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