Sex-Specific Risk Factors for Short- and Long-Term Outcomes after Surgery in Patients with Infective Endocarditis
by
, , , ,
Christine Friedrich
1,*
,
Mohamed Salem
1,
Thomas Puehler
1,
Bernd Panholzer
1,
Lea Herbers
1,
Julia Reimers
1,
Lars Hummitzsch
2,
Jochen Cremer
1 and
Assad Haneya
1 1
Department of Cardiovascular Surgery, University Hospital Schleswig-Holstein, Campus Kiel, 24105 Kiel, Germany
2
Department of Anaesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, 24105 Kiel, Germany
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(7), 1875; https://doi.org/10.3390/jcm11071875
Submission received: 14 February 2022
/
Revised: 21 March 2022
/
Accepted: 24 March 2022
/
Published: 28 March 2022
(This article belongs to the Special Issue New Perspectives on Cardiovascular Disease: Women's Treatment and Management)
Abstract
:(1) Background: Surgery for infective endocarditis (IE) is associated with considerable mortality and it is controversial whether the female gender is predictive for a worse outcome. This large single-center study investigated the impact of sex on outcomes after surgery for IE. (2) Methods: 413 patients (25.4% female) were included into this retrospective observational study. Univariate and multivariable analyses identified sex-specific risk factors for 30 day and late mortality. Survival was estimated by the Kaplan-Meier-method. (3) Results: Women presented more often with mitral valve infection (p = 0.039). Men presented more frequently with previous endocarditis (p = 0.045), coronary heart disease (p = 0.033), and aortic valve infection (p = 0.005). Blood transfusion occurred more frequently intraoperatively in women (p < 0.001), but postoperatively in men (p = 0.015) and men had a longer postoperative stay (p = 0.046). Women showed a higher 30 day mortality than men (p = 0.007) and female gender was predictive for 30 day mortality (OR 2.090). Late survival showed no sex-specific difference (p = 0.853), and the female gender was not an independent predictor for late mortality (p = 0.718). Risk factors for early and late mortality showed distinct sex-specific differences such as increased preoperative CRP level in women and culture-negative IE in men.
1. Introduction
Infective endocarditis (IE) is a rare but severe disease with a higher incidence in men and a male/female ratio ranging mostly from 1.3:1 to 3:1 in hospital-based studies [1,2,3,4,5]. Though the causes for this sex-specific difference are not fully understood, a higher rate of pre-disposing heart conditions in men [5,6] may contribute to a lower incidence of IE in women.
Early diagnosis and therapy are essential to reduce morbidity and mortality in patients suffering from IE [7]. Surgical treatment was carried out in about 50% of cases in the European infective endocarditis registry [3], but women underwent cardiac surgery for IE less frequently than men in several studies [4,8,9].
Despite major medical advances in diagnostics and therapy, IE is still associated with severe morbidity and a high early mortality of around 20% [3,10,11]. In cases of IE, female gender shows no protective effect, since several studies demonstrate a similar or higher early mortality when compared to men [8,12,13,14,15]. The persistently poor overall prognosis regarding hospital mortality is, besides the female gender, attributed to several possible causative factors such as the increase of elderly and more severely ill patients, previous cardiac surgery, an increasing rate of IE in prosthetic heart valves and devices, cerebral complications, renal failure, preoperative ventilation, New York Heart Association heart failure (NYHA) stage, paravalvular abscess, S. aureus infection, and withholding of indicated surgery [3,10,12,16]. However, there are controversial implications if the female gender is an independent predictor for mortality after surgery for IE [4,13,16,17]. Older age, a different spectrum of comorbidities, and a lower rate of surgical treatment are discussed as risk factors for a poorer outcome in women [8,9,12]. Sex-specific analysis revealed older age, preoperative dialysis, identification of the endocarditis focus [12], and a poor response to antibiotics [2] as independent risk factors in female patients. Likewise, studies on mid- or long-term outcome provide conflicting results. While some studies revealed a lower survival rate in women [9,12], others found a similar survival rate [18], and in several studies the female gender was no independent predictor for late mortality [8,9,17,19].
Sex-specific subgroup analyses on adjusted risk factors for early and late mortality after surgery for IE are scarce, therefore we analyzed predictors for early and late mortality for women and men separately to detect underlying causes for their different outcomes.
2. Materials and Methods
2.1. Patients and Study Design
This retrospective observational single-center study included 413 consecutive patients ≥ 18 years, 105 (25.4%) women and 308 (74.6%) men, who were operated on for IE between January 2002 and February 2020 in our department.
Pre-, intra-, and post-operative findings of women and men and their risk factors for mortality were analyzed and compared. Data were collected from the institution’s database and patient records. The primary endpoints were 30-day mortality and survival during follow-up; secondary endpoints were pre- and peri-operative details, post-operative outcome, and sex-specific risk factors for early and late mortality. All-cause survival during follow-up was obtained by inquiries at the registry offices. The number of patients in the intraoperative course and during the follow-up is shown in Supplementary Figure S1. Active IE was defined as patients receiving antibiotic therapy at the time of admission. The study protocol was approved by the local Ethics Committee and informed patient consent was obtained at primary hospital stay.
Preliminary sub-results of this study without sex-specific risk factor analysis were published in German [20].
2.2. Patient Management
A transthoracic echocardiogram (Vivid E9, General Electric Company, Boston, MA, USA) was performed on every patient, recording the location and size of vegetations, the presence of valve destruction or abscess, as well as left ventricular ejection fraction (LVEF). The antibiotic treatment started immediately after diagnosis of IE and an intravenous treatment regimen was initiated for at least 4–6 weeks independently of the time of surgery. Blood cultures were obtained from all patients to identify the pathogenic organisms and their sensitivities to medical treatment. All patients admitted with stroke underwent brain scan computer tomography to exclude any risk of bleeding prior to surgery and also to get a prognosis for intubated patients and coma patients. A neurologist was consulted to evaluate the neurological findings. The indication for the operation was made after interdisciplinary discussion between cardiologists and cardiac surgeons on the basis of the currently valid guidelines.
2.3. Surgical Procedure
Women and men with IE underwent curative surgery performed exclusively by senior surgeons. Cardiopulmonary bypass was performed by direct cannulation of the ascending aorta. In cases of aortic valve endocarditis, venous drainage was carried out through direct cannulation of the right atrium, while double cannulation of the superior and inferior vena cava was performed in cases of mitral or tricuspid valve endocarditis, with subsequent cross-clamping of ascending aorta. The decision for biological or mechanical prosthesis or valve repair was made depending on the age of the patients, the intraoperative findings, and the extent of valve destruction, as well as the patient’s preference and their compliance with long-term anticoagulation. Transesophageal echocardiography (GE Vivid E95, General Electric Company, Boston, MA, USA) was performed for assessment after surgical repair and to control the presence of residual air in the left side of the heart during rewarming. The operative technique has been described in more detail in previous papers [21].
2.4. Statistical Analysis
Pre-, intra-, and post-operative findings of women and men and of 30 day survivors and non-survivors were compared by univariate statistics. Continuous variables were assessed for normal distribution by the Kolmogorov-Smirnov-Test and are presented as median with range or interquartile range as appropriate, and compared by the Mann-Whitney-U-Test. Categorical variables were shown as absolute frequencies (n) and simple percentages and were compared by the Chi-squared or Fisher’s exact test as appropriate. Missing data were excluded pairwise and variables with missing data > 5% are indicated in the tables.
Preoperative variables with univariate association to 30 day mortality (p ≤ 0.1) were assessed for their adjusted impact on early mortality by multivariable logistic regression for the overall group, as well as for women and men separately, with a goodness of fit, described by Cox and Snell R-Squared, of 0.214, 0.377, and 0.231, respectively. Age was categorized as sex-specific according to the highest impact on 30 day mortality. Although EuroSCORE I and II (The European System for Cardiac Operative Risk Evaluation) [22,23] showed a significant association with mortality, we excluded it from the multivariable analyses since it complicated the detection of single risk factors due to multicollinearity. Sex-specific interaction was assessed by logistic regression analysis.
Follow-up outcome was defined as all-cause mortality of patients who survived 30 days postoperatively. Survival was estimated by the Kaplan-Meier method for right censored data and analyzed for sex-specific differences by the log rank-test. Risk factors for mortality during follow-up were assessed by Cox proportional hazards regression with forward selection for the groups separately and then included into the final models. Age of the overall group was categorized to ≥65 years for multivariable analysis based on the median value of 64 years.
All tests were conducted as two-sided and a p-value of ≤0.05 was assumed to be statistically significant. Statistical analysis was performed using the IBM SPSS Statistics software (version 26.0 and 28.0).
3. Results
The number of patients per year with surgical treatment of infective endocarditis increased over the study period (Figure 1).
3.1. Demographics and Clinical Details of the Study Population
Men were affected almost three times as often as women (74.6 vs. 25.4%, Table 1) and female patients with IE were only slightly older than male patients (65 vs. 64 years, p = 0.082). Men presented more often with coronary heart disease (46.3 vs. 34.3%, p = 0.033), with previous surgically treated IE (16.6 vs. 8.6%, p = 0.045) and with isolated infection of the aortic valve (34.7 vs. 20.0%, p = 0.005).
Women presented more often with previous aortic valve replacement (22.9 vs. 14.6%, p = 0.050), isolated infection of the mitral valve (29.5 vs. 19.8%, p = 0.039), and of the tricuspid valve combined with infection of other valves (7.6 vs. 2.6%, p = 0.036). A significant association was shown between preoperative embolization and neurological complications preoperative for both women and men (Chi2 p < 0.001).
Intraoperatively, no significant sex-specific differences regarding procedural times were observed, but women received more blood transfusions (red blood cell concentrates, 4 (0–14) vs. 2 (0–27), p < 0.001). Men more often underwent aortic valve surgery (78.1 vs. 62.9%, p = 0.002), had a higher need for blood transfusion postoperatively (2 (0–27) vs. 2 (0–17), p = 0.015), and a longer postoperative stay (10 vs. 9 days, p = 0.046; Table 2 and Table 3). In-hospital mortality tended to be higher in women (22.3 vs. 14.7%, p = 0.070), while 30 day mortality was significantly higher when compared to mortality in men (26.7 vs. 14.9%, p = 0.007).
3.2. Univariate Association to 30-Day Mortality
Though being without significance in the total group, sex-specific analyses revealed a significant association for pulmonary hypertension, diabetes mellitus Type 1 and 2, embolization of several organs, time from antibiotic start to surgery < 7 days, culture negative IE, and combined surgery in the male group. Only in the female group did peripheral arterial disease (PAD) show a significant association to 30 day mortality, which was confirmed by interaction analysis (Supplementary Table S1). A univariate subgroup analysis based on the overall cohort revealed that culture-negative cases had an antibiotic treatment before surgery > 7 days (62 (55.9%) less frequently when compared to culture-positive cases (202 (68.2%), p = 0.020). Additional sex-specific association is shown in Table S1.
3.3. Independent Predictors for 30 Day Mortality
In the overall group, female gender was an independent predictor for 30 day mortality (Table 4). Acute or chronic dialysis was revealed as a risk factor for early mortality in women and men. In women only, age ≥ 65 years, preoperative transfer from the intensive care unit (ICU), and increased C-reactive protein (CRP) level were risk factors. In men, age ≥ 70 years, body mass index (BMI), pulmonary hypertension, NYHA IV, cardiogenic shock, fever until surgery, culture negative IE, abscess, and embolization of several organs were predictors for early mortality.
3.4. Survival Analysis
Median follow-up time was 3.9 (1.2; 7.7) years. Crude survival showed no sex-specific difference (p = 0.853, Figure 2) and women and men showed a cumulative survival of 82% vs. 72%. after 5 years and 61% in both groups after 8 years.
3.5. Risk Factors for Long-Term Survival
Female gender did not prove to be a risk factor for mortality during follow-up (p = 0.718, Table 5).
The Cox regression revealed sex-specific risk factors for late mortality. Age ≥ 70 years, arterial hypertension, LVEF < 30%, PAD, combined valve surgery, cardiogenic shock, preoperative stroke, tumor, liver disease, and abscess were identified as risk factors in the male group. Risk factors in the female group were age ≥ 65 years, NYHA IV, coronary three-vessel disease, emergency admission, diagnosis until surgery > 7 days, Staphylococcus epidermidis as a pathogenic microorganism, and preoperatively increased CRP (mg/L) level, while preoperative acute or chronic dialysis was evident in both groups.
4. Discussion
In this study, women showed a considerably higher early mortality when compared to men and the female gender was an independent predictor for 30 day mortality, while no significant difference was observed regarding mortality during follow-up. Independent risk factors for early and late mortality showed substantial sex-specific differences and differed strikingly from the results of the overall group.
In contrast to the review of Slipczuk et al. 2013 [10], who found a proportional increase in male IE patients from the 1970s to the 2000s, we could not show a further temporal trend in the male/female ratio during our study period from 2002 to 2020. The proportion of our surgically treated female patients was 25.4%, which is lower than 31.1% in the European infective endocarditis registry, which also included non-surgically treated patients [3]. This points to an underlying lower rate of referral to cardiac surgery in our female patients, a finding already described in several recent studies [3,9,13,15].
In contrast to previous findings [8,9,12,14], female patients in our study were not distinctly older and did not present with more comorbid conditions when compared to men. As shown in previous studies [9,13,17], IE affected the aortic valve in men most frequently, while in female patients, a predominant affection of the mitral valve was found.
Risk stratification by logistic EuroSCORE and EuroSCORE II showed a tendency towards a higher postoperative risk in female patients. However, particularly EuroSCORE II did not adequately predict the considerably higher mortality in women when compared to men. The EuroSCORE includes female gender as a risk factor, but it is based on a mixed female and male population and therefore does not take into account the different weighting of risk factors in men and women identified in previous studies [2,12] and confirmed by our results.
Despite comparable intraoperative procedural times, women received more blood transfusions than men. Higher transfusion rates and lower preoperative hemoglobin levels in women were already described for cardiac surgery [24,25], and may explain the observed intraoperative discrepancy in our study. Men tended to develop a delirium more often than women, as we already observed at aortic surgery [26]. This is in line with the findings of Wang et al. that male gender is an important predictor for postoperative delirium following cardiac surgery [27]. Moreover, red blood cell transfusion, which was more frequent in our male patients postoperatively, was shown to be an important initiating risk factor for delirium after cardiac surgery in a review by Koster et al. [28], as well as the association with prolonged postoperative stay in our male patients [29].
The overall early mortality of 17.9% in our study was comparable to the 17% mortality reported in the European endocarditis registry [3] and 17.2% mortality after surgery for IE of the aortic valve [12]. Women in our study experienced a significantly higher early mortality when compared to men as demonstrated previously [12,13,17]. However, in contrast to these studies, we found no major sex-specific differences regarding baseline clinical presentation, comorbidities, or pathogenic organisms that could explain the poorer outcome in women, but rather a gender-specific impact of risk factors, as the univariate and multivariable analysis indicated.
Weber et al. [17] stated that the severity of presentation, but not female gender, accounts for a worse outcome after IE. Contrary to their results, which included also postoperative factors and EuroSCORE II, female sex proved to be an independent predictor for early mortality in our study on preoperative predictors, confirming previous results [4,12,16]. The multivariable analysis, moreover, revealed distinct sex-specific predictors for early mortality. In female patients, an age ≥ 65 years, dialysis, preoperative transfer from the ICU, and increased CRP level were predictive. Elevated baseline CRP levels were predictive for early mortality after IE in a prospective hospital-based analysis [30], however, it was a risk factor only in our female surgical patients. Dialysis was shown to be a risk factor in women [12], but was confirmed by our study as being a risk for both genders as demonstrated recently [2]. A predominant affection of the mitral valve as identified in our female patients may be associated with a lower referral to early valve surgery in women [19], whereas affection of the aortic valve was identified as predictor for early valve surgery [19]. The protective effect of aortic valve IE identified in our female patients may support this theory of a possible earlier referral of women with aortic valve IE in a less severe preoperative condition. However, this observation should be further clarified. Only in the male group, age ≥ 70 years, BMI, pulmonary hypertension, and factors related to severity of IE, namely, fever until surgery, embolization of several organs, and culture-negative IE, were risk factors for 30 day mortality. The frequency of culture-negative IE was similar in women and men in our study but was overall higher (27.5%) when compared to the findings of the European endocarditis registry, which reports a frequency of 21% [3]. A recent study by Salsano et al. [31] showed that culture-negative IE is associated with a significantly higher adjusted postoperative risk for early mortality. Culture-negative IE may complicate treatment and result in a worse outcome, as observed in our male patients.
Unadjusted all-cause survival was similar between genders. Once the critical early period is overcome, women and men therefore seemed to have a comparable prognosis, as also shown in a previous hospital-based study [18]. In contrast, Dohmen et al. [12] and Weber et al. [17] found a significantly worse survival after surgery for IE in women when compared to men during a 12 year and a 1.76 year follow-up, respectively. A higher age and more severe degree of IE may explain the worse outcome in in these studies.
Previous studies demonstrated that female gender was not an independent predictor for mid-term and long-term mortality [8,9,17,19], which was confirmed by our analysis. Our multivariable analysis revealed distinct gender-specific risk factors for mortality during follow-up, except for age and preoperative dialysis, which were identified as risk factors in both genders, confirming the results of Dohmen et al. [12]. The meta-analysis of Liang et al. [32] indicated that a surgical treatment within one week after diagnosis was associated with lower in-hospital mortality; however, a time interval > 7 days was an independent predictor for follow-up mortality in female patients in our study, but not for early mortality, and, moreover, it did not prove as a risk factor for male patients.
This study has several limitations. The retrospective single-center design carries a possible risk for unknown confounders due to unregistered variables. The limited sample size of the female cohort decreases the statistical power and may have impaired the detection of risk factors in the female group.
5. Conclusions
Female gender was an independent predictor for 30 day mortality but not for late mortality after surgical treatment of IE. Striking differences regarding sex-specific risk factors indicate that analyses of a mixed male and female cohort may overlook important risk factors. The higher risk for early postoperative mortality in women should not per se lead to avoidance of surgical therapy in women, as surgical treatment was shown to be a protective factor against early mortality in IE in previous studies. Consideration of sex-specific risk factors in prevention, interdisciplinary diagnosis, therapy, and an early postoperative course, such as preoperative elevated CRP level and interval from diagnosis to surgery in female patients, as well as the potential risk of culture-negative IE in male patients, may improve outcomes in women and men.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm11071875/s1, Table S1: Pre- and intraoperative characteristics associated with 30-day mortality (p ≤ 0.1), Figure S1: Flow chart of case numbers over the course of the study.
Author Contributions
Conceptualization, C.F., M.S. and A.H.; methodology, C.F., M.S., L.H. (Lea Herbers), J.R. and A.H.; software, not applicable; validation, M.S., T.P., B.P., L.H. (Lars Hummitzsch) and A.H.; formal analysis, C.F.; investigation, C.F. and A.H.; resources, A.H. and J.C.; data curation, C.F., M.S., L.H. (Lea Herbers) and J.R.; writing—original draft preparation, C.F.; writing—review and editing, all authors; visualization, C.F.; supervision, A.H. and J.C.; project administration, C.F. and A.H.; funding acquisition, C.F. All authors have read and agreed to the published version of the manuscript.
Funding
We acknowledge financial support by DFG within the funding programme Open Access-Publikationskosten.
Institutional Review Board Statement
This retrospective single-centre cohort study was conducted in accordance with the Declaration of Helsinki (as revised in 2013) and approved by the local ethics committee of Christian-Albrechts University of Kiel (No. D458/20).
Informed Consent Statement
Written informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Cresti, A.; Chiavarelli, M.; Scalese, M.; Nencioni, C.; Valentini, S.; Guerrini, F.; D’Aiello, I.; Picchi, A.; De Sensi, F.; Habib, G. Epidemiological and mortality trends in infective endocarditis, a 17-year population-based prospective study. Cardiovasc. Diagn. Ther. 2017, 7, 27–35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- 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]
- Habib, G.; Erba, P.A.; Iung, B.; Donal, E.; Cosyns, B.; Laroche, C.; Popescu, B.A.; Prendergast, B.; Tornos, P.; Sadeghpour, A.; et al. Clinical presentation, aetiology and outcome of infective endocarditis. Results of the ESC-EORP EURO-ENDO (European infective endocarditis) registry: A prospective cohort study. Eur. Heart J. 2019, 40, 3222–3232. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sousa, C.; Nogueira, P.; Pinto, F.J. Insight into the epidemiology of infective endocarditis in Portugal: A contemporary nationwide study from 2010 to 2018. BMC Cardiovasc. Disord. 2021, 21, 138. [Google Scholar] [CrossRef] [PubMed]
- Ahtela, E.; Oksi, J.; Porela, P.; Ekström, T.; Rautava, P.; Kytö, V. Trends in occurrence and 30-day mortality of infective endocarditis in adults: Population-based registry study in Finland. BMJ Open 2019, 9, e026811. [Google Scholar] [CrossRef]
- Thornhill, M.H.; Jones, S.; Prendergast, B.; Baddour, L.M.; Chambers, J.B.; Lockhart, P.B.; Dayer, M.J. Quantifying infective endocarditis risk in patients with predisposing cardiac conditions. Eur. Heart J. 2018, 39, 586–595. [Google Scholar] [CrossRef] [Green Version]
- Rajani, R.; Klein, J.L. Infective endocarditis: A contemporary update. Clin. Med. 2020, 20, 31–35. [Google Scholar] [CrossRef]
- 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]
- 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]
- 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]
- Vincent, L.L.; Otto, C.M. Infective Endocarditis: Update on Epidemiology, Outcomes, and Management. Curr. Cardiol. Rep. 2018, 20, 86. [Google Scholar] [CrossRef]
- 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. Monit. 2016, 22, 2520–2527. [Google Scholar] [CrossRef] [Green Version]
- Varela Barca, L.; Vidal-Bonnet, L.; Fariñas, M.C.; Muñoz, P.; Valerio Minero, M.; de Alarcón, A.; Gutiérrez Carretero, E.; Gutiérrez Cuadra, M.; Moreno Camacho, A.; Kortajarena Urkola, X.; et al. Analysis of sex differences in the clinical presentation, management and prognosis of infective endocarditis in Spain. Heart 2021, 107, 1717–1724. [Google Scholar] [CrossRef]
- Polishchuk, I.; Stavi, V.; Awesat, J.; Ben Baruch Golan, Y.; Bartal, C.; Sagy, I.; Jotkowitz, A.; Barski, L. Sex Differences in Infective Endocarditis. Am. J. Med. Sci. 2021, 361, 83–89. [Google Scholar] [CrossRef]
- van den Brink, F.S.; Swaans, M.J.; Hoogendijk, M.G.; Alipour, A.; Kelder, J.C.; Jaarsma, W.; Eefting, F.D.; Groenmeijer, B.; Kupper, A.J.F.; Ten Berg, J.M. Increased incidence of infective endocarditis after the 2009 European Society of Cardiology guideline update: A nationwide study in the Netherlands. Eur. Heart J. Qual. Care Clin. Outcomes 2017, 3, 141–147. [Google Scholar] [CrossRef] [Green Version]
- Varela Barca, L.; Navas Elorza, E.; Fernández-Hidalgo, N.; Moya Mur, J.L.; Muriel García, A.; Fernández-Felix, B.M.; Miguelena Hycka, J.; Rodríguez-Roda, J.; López-Menéndez, J. Prognostic factors of mortality after surgery in infective endocarditis: Systematic review and meta-analysis. Infection 2019, 47, 879–895. [Google Scholar] [CrossRef]
- 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]
- Castillo, J.C.; Anguita, M.P.; Delgado, M.; Ruiz, M.; Mesa, D.; Romo, E.; Crespín, M.; García, D.; Arizón, J.M.; Suárez de Lezo, J. Clinical characteristics and prognosis of infective endocarditis in women. Rev. Esp. Cardiol. 2008, 61, 36–40. [Google Scholar] [CrossRef]
- 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]
- Friedrich, C.; Salem, M.; Panholzer, B.; Cremer, J.; Haneya, A. Geschlechtsspezifische Ergebnisse nach operativer Therapie bei infektiöser Endokarditis. CHAZ 2021, 22, 35–39. [Google Scholar]
- Salem, M.; Friedrich, C.; Saad, M.; Frank, D.; Salem, M.; Puehler, T.; Schoettler, J.; Schoeneich, F.; Cremer, J.; Haneya, A. Active Infective Native and Prosthetic Valve Endocarditis: Short- and Long-Term Outcomes of Patients after Surgical Treatment. J. Clin. Med. 2021, 10, 1868. [Google Scholar] [CrossRef] [PubMed]
- Roques, F.; Michel, P.; Goldstone, A.R.; Nashef, S.A. The logistic EuroSCORE. Eur. Heart J. 2003, 24, 881–882. [Google Scholar] [CrossRef]
- Nashef, S.A.; Roques, F.; Sharples, L.D.; Nilsson, J.; Smith, C.; Goldstone, A.R.; Lockowandt, U. EuroSCORE II. Eur. J. Cardiothorac. Surg. 2012, 41, 734–744, discussion 744–745. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Blaudszun, G.; Munting, K.E.; Butchart, A.; Gerrard, C.; Klein, A.A. The association between borderline pre-operative anaemia in women and outcomes after cardiac surgery: A cohort study. Anaesthesia 2018, 73, 572–578. [Google Scholar] [CrossRef] [Green Version]
- Faerber, G.; Zacher, M.; Reents, W.; Boergermann, J.; Kappert, U.; Boening, A.; Diegeler, A.; Doenst, T. Female sex is not a risk factor for post procedural mortality in coronary bypass surgery in the elderly: A secondary analysis of the GOPCABE trial. PLoS ONE 2017, 12, e0184038. [Google Scholar] [CrossRef] [Green Version]
- Friedrich, C.; Salem, M.A.; Puehler, T.; Hoffmann, G.; Lutter, G.; Cremer, J.; Haneya, A. Sex-specific risk factors for early mortality and survival after surgery of acute aortic dissection type a: A retrospective observational study. J. Cardiothorac. Surg. 2020, 15, 145. [Google Scholar] [CrossRef]
- Wang, H.; Guo, X.; Zhu, X.; Li, Y.; Jia, Y.; Zhang, Z.; Yuan, S.; Yan, F. Gender Differences and Postoperative Delirium in Adult Patients Undergoing Cardiac Valve Surgery. Front. Cardiovasc. Med. 2021, 8, 751421. [Google Scholar] [CrossRef]
- Koster, S.; Hensens, A.G.; Schuurmans, M.J.; van der Palen, J. Risk factors of delirium after cardiac surgery: A systematic review. Eur. J. Cardiovasc. Nurs. 2011, 10, 197–204. [Google Scholar] [CrossRef]
- Kumar, A.K.; Jayant, A.; Arya, V.K.; Magoon, R.; Sharma, R. Delirium after cardiac surgery: A pilot study from a single tertiary referral center. Ann. Card. Anaesth. 2017, 20, 76–82. [Google Scholar]
- Mohanan, S.; Gopalan Nair, R.; Vellani, H.; Sajeev, C.G.; George, B.; Krishnan, M.N. Baseline C-reactive protein levels and prognosis in patients with infective endocarditis: A prospective cohort study. Indian Heart J. 2018, 70 (Suppl. 3), S43–S49. [Google Scholar] [CrossRef]
- Salsano, A.; Giacobbe, D.R.; Del Puente, F.; Natali, R.; Miette, A.; Moscatelli, S.; Perocchio, G.; Scarano, F.; Porto, I.; Mariscalco, G.; et al. Culture-negative infective endocarditis (CNIE): Impact on postoperative mortality. Open Med. 2020, 15, 571–579. [Google Scholar] [CrossRef]
- Liang, F.; Song, B.; Liu, R.; Yang, L.; Tang, H.; Li, Y. Optimal timing for early surgery in infective endocarditis: A meta-analysis. Interact Cardiovasc Thorac. Surg. 2016, 22, 336–345. [Google Scholar] [CrossRef] [Green Version]
Figure 1.
Number of patients during the study period.
Figure 2.
Survival of women and men during follow-up.
Table 1.
Baseline patient characteristics stratified by gender.
| Variable | Overall (n = 413) | Men (n = 308, 74.6%) | Women (n = 105, 25.4%) | p-Value |
|---|---|---|---|---|
| Age, years | 64 (52;73) | 64 (50;73) | 65 (57;75) | 0.082 |
| Body mass index (kg/m2) | 25.9 (23.0;29.4) | 25.7 (23.0;29.0) | 26.1 (23.0;30.8) | 0.223 |
| Body mass index > 30 (kg/m2) | 92 (22.4%) | 63 (20.6%) | 29 (27.6%) | 0.136 |
| Logistic EuroSCORE | 27.2 (12.5;49.1) | 24.8 (11.7;45.6) | 35.7 (14.6;53.6) | 0.054 |
| EuroSCORE II | 12.1 (5.2;27.3) | 11.6 (5.0;25.2) | 16.3 (6.1;30.8) | 0.127 |
| Co-morbidity | ||||
| COPD | 50 (12.1%) | 37 (12.0%) | 13 (12.4%) | 0.920 |
| Arterial hypertension | 240 (58.1%) | 177 (57.5%) | 63 (60.0%) | 0.650 |
| Pulmonary hypertension (>25 mmHg) | 86 (20.9%) | 60 (19.5%) | 26 (25.0%) | 0.231 |
| Atrial fibrillation | 81 (19.6%) | 61 (19.8%) | 20 (19.0%) | 0.866 |
| Peripheral vascular disease | 36 (8.7%) | 28 (9.1%) | 8 (7.6%) | 0.644 |
| Type 1 Diabetes mellitus | 3 (0.7%) | 2 (0.6%) | 1 (1.0%) | 1.000 |
| Type 2 Diabetes mellitus | 83 (20.1%) | 58 (18.8%) | 25 (23.8%) | 0.272 |
| IDDM | 45 (10.9%) | 30 (9.7%) | 15 (14.3%) | 0.197 |
| Hyperlipoproteinemia | 116 (28.1%) | 82 (26.6%) | 34 (32.4%) | 0.257 |
| Dialysis (acute and chronic) | 45 (10.9%) | 32 (10.4%) | 13 (12.4%) | 0.572 |
| Acute renal insufficiency | 53 (12.8%) | 42 (13.6%) | 11 (10.5%) | 0.403 |
| Chronic dialysis preoperative | 18 (4.4%) | 11 (3.6%) | 7 (6.7%) | 0.177 |
| Chronic renal insufficiency | 116 (28.1%) | 92 (29.9%) | 24 (22.9%) | 0.167 |
| NYHA IV | 83 (20.2%) | 65 (21.2%) | 18 (17.3%) | 0.388 |
| Tumor | 55 (13.3%) | 40 (13.0%) | 15 (14.3%) | 0.735 |
| Rheumatic disease | 23 (5.6%) | 16 (5.2%) | 7 (6.7%) | 0.570 |
| History of liver disease | 55 (13.3%) | 42 (13.7%) | 13 (12.4%) | 0.735 |
| Drug abuse | 23 (5.6%) | 16 (5.2%) | 7 (6.7%) | 0.570 |
| Smoking 1 | 103 (27.8%) | 78 (28.4%) | 25 (26.0%) | 0.662 |
| Immunosuppressive therapy | 11 (2.7%) | 6 (1.9%) | 5 (4.8%) | 0.156 |
| Previous endocarditis | 60 (14.5%) | 51 (16.6%) | 9 (8.6%) | 0.045 |
| LVEF poor (<30) | 41 (10.5%) | 35 (12.0%) | 6 (6.1%) | 0.096 |
| Coronary heart disease | 178 (43.2%) | 142 (46.3%) | 36 (34.3%) | 0.033 |
| Single-vessel disease | 76 (18.4%) | 56 (18.2%) | 20 (19.0%) | 0.854 |
| Two-vessel-disease | 36 (8.7%) | 29 (9.4%) | 7 (6.7%) | 0.384 |
| Three-vessel disease | 66 (16.0%) | 57 (18.6%) | 9 (8.6%) | 0.016 |
| Previous cardiac surgery | 171 (41.4%) | 125 (40.6%) | 46 (43.8%) | 0.562 |
| Previous CABG | 9 (2.2%) | 7 (2.3%) | 2 (1.9%) | 1.000 |
| Aortic valve replacement | 69 (16.7%) | 45 (14.6%) | 24 (22.9%) | 0.050 |
| Mitral valve replacement/ resection | 6 (1.5%) | 4 (1.3%) | 2 (1.9%) | 0.067 |
| Combined valve surgery | 79 (19.1%) | 63 (20.5%) | 16 (15.2%) | 0.241 |
| TAVI | 2 (0.5%) | 2 (0.6%) | 0 (0%) | 1.000 |
| Clinical presentation | ||||
| Acute myocardial infarction (≤48 h) | 14 (3.4%) | 11 (3.6%) | 3 (2.9%) | 1.000 |
| Cardiogenic shock | 21 (5.1%) | 18 (5.8%) | 3 (2.9%) | 0.229 |
| CPR (≤48 h) | 9 (2.2%) | 8 (2.6%) | 1 (1.0%) | 0.449 |
| Emergency | 90 (21.8%) | 72 (23.4%) | 18 (17.1%) | 0.181 |
| Transfer from intensive care unit | 109 (26.5%) | 80 (26.1%) | 29 (27.6%) | 0.754 |
| Intubated at admission | 38 (9.2%) | 29 (9.4%) | 9 (8.6%) | 0.796 |
| Neurological deficits (TIA or stroke) | 81 (19.6%) | 55 (17.9%) | 26 (24.8%) | 0.124 |
| Stroke | 76 (18.4%) | 53 (17.2%) | 23 (21.9%) | 0.283 |
| Preoperative embolization | 114 (27.6%) | 81 (26.3%) | 33 (31.4%) | 0.310 |
| Embolization of several organs | 28 (6.8%) | 17 (5.5%) | 11 (10.5%) | 0.081 |
| Fever (≥38 °C) | 270 (66.5%) | 206 (68.0%) | 64 (62.1%) | 0.277 |
| Fever until surgery | 63 (15.5%) | 48 (15.8%) | 15 (14.6%) | 0.757 |
| Time from diagnosis to surgery >7 days | 243 (59.3%) | 180 (58.8%) | 63 (60.6%) | 0.753 |
| Time from antibiotic start to surgery | ||||
| ≤1 day | 59 (14.5%) | 49 (16.1%) | 10 (9.6%) | 0.104 |
| 2–3 days | 38 (9.3%) | 23 (7.6%) | 15 (14.4%) | 0.038 |
| 4–7 days | 47 (11.5%) | 39 (12.8%) | 8 (7.7%) | 0.157 |
| >7 days | 264 (64.7%) | 193 (63.5%) | 71 (68.3%) | 0.378 |
| Pathogens | ||||
| Staphylococcus aureus | 82 (20.0%) | 59 (19.3%) | 23 (21.9%) | 0.562 |
| Enterococcus | 61 (14.8%) | 48 (15.7%) | 13 (12.4%) | 0.411 |
| Streptococcus viridans | 43 (10.5%) | 35 (11.4%) | 8 (7.6%) | 0.270 |
| Gram-positive streptococcus | 37 (9.0%) | 26 (8.5%) | 11 (10.5%) | 0.541 |
| HACEK group | 1 (0.2%) | 1 (0.3%) | 0 (0%) | 1.000 |
| Mycosis | 6 (1.5%) | 3 (1.0%) | 3 (2.9%) | 0.177 |
| Culture negative IE | 113 (27.5%) | 85 (27.8%) | 28 (26.7%) | 0.826 |
| Staphylococcus epidermidis | 28 (6.8%) | 18 (5.9%) | 10 (9.5%) | 0.201 |
| MRSA | 14 (3.4%) | 10 (3.3%) | 4 (3.8%) | 0.760 |
| Affected valves | ||||
| Aortic valve endocarditis | 168 (40.7%) | 137 (44.5%) | 31 (29.5%) | 0.007 |
| Isolated Aortic valve endocarditis | 128 (31.0%) | 107 (34.7%) | 21 (20.0%) | 0.005 |
| Mitral valve endocarditis | 129 (31.2%) | 90 (29.2%) | 39 (37.1%) | 0.130 |
| Isolated Mitral valve endocarditis | 92 (22.3%) | 61 (19.8%) | 31 (29.5%) | 0.039 |
| Tricuspid valve endocarditis | 16 (3.9%) | 8 (2.6%) | 8 (7.6%) | 0.036 |
| Isolated Tricuspid valve endocarditis | 7 (1.7%) | 4 (1.3%) | 3 (2.9%) | 0.377 |
| Isolated Prosthetic endocarditis | 143 (34.6%) | 104 (33.8%) | 39 (37.1%) | 0.530 |
| Paravalvular leak | 17 (4.1%) | 13 (4.2%) | 4 (3.8%) | 1.000 |
| Valve insufficiency (at least grade 2) | 359 (87.3%) | 267 (87.3%) | 92 (87.6%) | 0.923 |
| Aortic valve | 108 (26.3%) | 87 (28.4%) | 21 (20.0%) | 0.090 |
| Mitral valve | 78 (19.0%) | 55 (18.0%) | 23 (21.9%) | 0.375 |
| Tricuspid valve | 8 (1.9%) | 3 (1.0%) | 5 (4.8%) | 0.029 |
| Peri-annular abscess | 113 (27.8%) | 81 (26.6%) | 32 (31.1%) | 0.386 |
| Vegetation | 285 (70.4%) | 209 (69.2%) | 76 (73.8%) | 0.309 |
| Preoperative laboratory results | ||||
| C-reactive protein (mg/L) | 42.7 (16.4;90.5) | 43.5 (19.3;91.1) | 41.2 (13.6;88.2) | 0.565 |
Significant p-values are indicated in bold. Quantitative data are presented as median with 25th and 75th percentiles, while categorical data are presented as number of patients (n) with percentage (%). Missing values > 5%: 1 10.2% missing. European System for Cardiac Operative Risk Evaluation is abbreviated to EuroSCORE, chronic obstructive pulmonary disease to COPD, insulin dependent diabetes mellitus to IDDM, New York Heart Association heart failure stage to NYHA, left ventricular ejection fraction to LVEF, Coronary artery bypass grafting to CABG, transcatheter aortic valve implantation to TAVI, cardiopulmonary resuscitation to CPR, transient ischemic attack to TIA, Haemophilus, Aggregatibacter, Cardiobacterium, Eikenella, Kingella to HACEK, methicillin-resistant Staphylococcus aureus to MRSA.
Table 2.
Operative data stratified by gender.
| Variable | Overall (n = 413) | Men (n = 308, 74.6%) | Women (n = 105, 25.4%) | p-Value |
|---|---|---|---|---|
| Length of surgery (min) | 273 (220;355) | 274 (224;357) | 271 (216;337) | 0.411 |
| Cardiopulmonary bypass time (min) | 166 (125;215) | 166 (126;214) | 166 (121;219) | 0.879 |
| Cross-clamp time (min) | 116 (86;156) | 115 (86;157) | 116 (83;144) | 0.433 |
| Circulatory arrest (min) | 0 (0–36) | 0 (0–36) | 0 (0–32) | 0.520 |
| Number of packed red blood cells (unit) | 3 (0–27) | 2 (0–27) | 4 (0–14) | <0.001 |
| Number of fresh frozen plasma (unit) | 0 (0–13) | 0 (0–13) | 0 (0–12) | 0.900 |
| Number of platelet concentrate (unit) | 1 (0–6) | 1 (0–6) | 1 (0–4) | 0.143 |
| Aortic valve surgery | 305 (74.2%) | 239 (78.1%) | 66 (62.9%) | 0.002 |
| Mitral valve surgery | 155 (37.7%) | 110 (35.9%) | 45 (42.9%) | 0.207 |
| Tricuspid valve surgery | 15 (3.6%) | 8 (2.6%) | 7 (6.7%) | 0.070 |
| Thoracic aortic surgery | 55 (13.4%) | 43 (14.1%) | 12 (11.5%) | 0.509 |
| CABG | 49 (11.9%) | 37 (12.1%) | 12 (11.4%) | 0.856 |
Significant p-values are indicated in bold. Quantitative data are presented as median with 25th and 75th percentiles, while categorical data are presented as number of patients (n) with percentage (%).
Table 3.
Postoperative data and outcomes stratified by gender.
| Variable | Overall (n = 413) | Men (n = 308, 74.6%) | Women (n = 105, 25.4%) | p-Value |
|---|---|---|---|---|
| AKI KDIGO stages | 115 (29.3%) | 85 (29.2%) | 30 (29.4%) | 0.969 |
| New–onset of hemodialysis | 61 (15.6%) | 46 (15.8%) | 15 (14.9%) | 0.819 |
| 24 h-drainage loss (mL) | 600 (300;1100) | 650 (388;1150) | 510 (250;1060) | 0.123 |
| Rethoracotomy (bleeding/tamponade) | 50 (12.4%) | 40 (13.3%) | 10 (9.7%) | 0.341 |
| Number of packed red blood cells (unit) 1 | 2 (0–27) | 2 (0–27) | 2 (0–17) | 0.015 |
| Number of fresh frozen plasma, (unit) 1 | 0 (0–35) | 0 (0–35) | 0 (0–32) | 0.269 |
| Number of platelet concentrate, (unit) 1 | 0 (0–9) | 0 (0–8) | 0 (0–9) | 0.357 |
| Ventilation time (h) | 16 (9;45) | 16 (9;44) | 16 (9;55) | 0.801 |
| Reintubation | 49 (12.3%) | 33 (11.1%) | 16 (15.7%) | 0.220 |
| Tracheotomy | 57 (14.5%) | 47 (16.2%) | 10 (9.9%) | 0.125 |
| ICU time (d) | 3 (1;7) | 3 (1;7) | 3 (1;6) | 0.245 |
| Postoperative days (d) | 10 (7;16) | 10 (7;17) | 9 (5;15) | 0.046 |
| Postoperative delirium | 64 (16.1%) | 54 (18.2%) | 10 (10.0%) | 0.054 |
| Stroke | 18 (4.5%) | 11 (3.7%) | 7 (6.9%) | 0.265 |
| CPR | 22 (5.5%) | 17 (5.7%) | 5 (4.9%) | 0.759 |
| Pacemaker patient | 47 (11.6%) | 37 (12.2%) | 10 (9.8%) | 0.511 |
| Postoperative myocardial infarction | 5 (1.3%) | 4 (1.3%) | 1 (1.0%) | 1.000 |
| Bronchopulmonary infection | 45 (11.1%) | 36 (11.8%) | 9 (8.9%) | 0.422 |
| Sepsis | 54 (13.3%) | 40 (13.1%) | 14 (13.9%) | 0.839 |
| Sternal wound infection 2 | 9 (2.5%) | 8 (2.9%) | 1 (1.1%) | 0.694 |
| Hospital mortality | 68 (16.6%) | 45 (14.7%) | 23 (22.3%) | 0.070 |
| Cardiac death | 10 (14.3%) | 6 (13.3%) | 4 (16.0%) | 0.737 |
| Cerebral death | 1 (1.4%) | 1 (2.2%) | 0 (0%) | 1.000 |
| Sepsis | 9 (12.9%) | 5 (11.1%) | 4 (16.0%) | 0.712 |
| MOF | 50 (71.4%) | 33 (73.3%) | 17 (68.0%) | 0.636 |
| 30 day mortality | 74 (17.9%) | 46 (14.9%) | 28 (26.7%) | 0.007 |
| Survival/follow-up time (years) | 3.9 (1.2;7.7) | 3.7 (1.1;7.8) | 4.6 (1.4;7.8) | 0.535 |
Significant p-values are indicated in bold. Quantitative data are presented as median with 25th and 75th percentiles, while categorical data are presented as number of patients (n) with percentage (%). Missing values > 5%: 1 Number of blood products given within 48 hr postoperatively, 5.8% missing, 2 11.1% missing. AKI is abbreviated to acute kidney injury, Kidney Disease: Improving Global Outcomes to KDIGO, intensive care unit to ICU, cardiopulmonary resuscitation to CPR, multiple organ failure to MOF.
Table 4.
Independent preoperative risk factors for 30 day mortality.
| Risk Factors Group | Odds Ratio Overall | 95% CI | p-Value | Odds Ratio Men | 95% CI | p-Value | Odds Ratio Women | 95% CI | p-Value |
|---|---|---|---|---|---|---|---|---|---|
| Age (years) | 1.036 | 1.010–1.063 | 0.006 | ||||||
| Age ≥ 65 years | 4.921 | 1.048–23.099 | 0.043 | ||||||
| Age ≥ 70 years | 2.836 | 1.265–6.357 | 0.011 | ||||||
| Female gender | 2.090 | 1.077–4.053 | 0.029 | ||||||
| Body mass index | 1.104 | 1.026–1.189 | 0.008 | ||||||
| PH | 3.500 | 1.440–8.508 | 0.006 | ||||||
| Dialysis | 5.943 | 2.019–17.494 | 0.001 | 6.974 | 1.133–42.922 | 0.036 | |||
| NYHA IV | 2.719 | 1.344–5.500 | 0.005 | 3.108 | 1.344–7.189 | 0.008 | |||
| Cardiogenic shock | 3.415 | 1.027–11.350 | 0.045 | 9.083 | 2.418–34.112 | 0.001 | |||
| Stroke | 2.664 | 1.281–5.543 | 0.009 | ||||||
| Transfer from ICU | 10.086 | 1.791–56.806 | 0.009 | ||||||
| AV insufficiency | 0.341 | 0.133–0.879 | 0.026 | ||||||
| Fever until surgery | 2.828 | 1.030–7.768 | 0.044 | ||||||
| Culture negative | 2.661 | 1.161–6.100 | 0.021 | ||||||
| Abscess | 2.513 | 1.332–4.742 | 0.004 | 2.570 | 1.075–6.142 | 0.034 | |||
| CRP (mg/L) | 1.008 | 1.003–1.012 | 0.001 | 1.012 | 1.002–1.022 | 0.021 | |||
| AV endocarditis | 0.041 | 0.004–0.432 | 0.007 | ||||||
| Embolization | 4.678 | 1.032–21.194 | 0.045 |
Pulmonary hypertension > 25 mm Hg is abbreviated to PH, New York heart association heart failure stage to NYHA, intensive care unit to ICU, Aortic valve to AV, C-reactive protein to CRP. Dialysis = Acute and chronic dialysis, Embolization = Embolization of several organs.
Table 5.
Independent preoperative risk factors for mortality during follow-up.
| Risk Factors Group | Hazard Ratio Overall | 95% CI | p-Value | Hazard Ratio Men | 95% CI | p-Value | Hazard Ratio Women | 95% CI | p-Value |
|---|---|---|---|---|---|---|---|---|---|
| Age ≥ 65 years | 2.198 | 1.385–3.488 | <0.001 | 1.921 * | 1.287–2.868 | 0.001 | 2.066 | 1.056–4.040 | 0.034 |
| Female gender | 1.097 | 0.662–1.820 | 0.718 | ||||||
| AHT | 1.685 | 1.076–2.637 | 0.022 | ||||||
| NYHA IV | 4.192 | 1.954–8.993 | <0.001 | ||||||
| Poor LVEF (<30%) | 1.945 | 1.000–3.783 | 0.050 | 2.166 | 1.342–3.497 | 0.002 | |||
| PAD | 2.515 | 1.291–4.900 | 0.007 | 1.795 | 1.023–3.152 | 0.041 | |||
| CAD stage 3 | 4.040 | 1.633–9.994 | 0.003 | ||||||
| Dialysis | 2.186 | 1.102–4.338 | 0.025 | 1.926 | 1.145–3.241 | 0.014 | 3.383 | 1.317–8.688 | 0.011 |
| Combined surgery | 2.223 | 1.236–3.998 | 0.008 | 1.709 | 1.054–2.770 | 0.030 | |||
| Cardiogenic shock | 3.601 | 1.803–7.189 | <0.001 | ||||||
| Emergency | 5.850 | 2.439–14.032 | <0.001 | ||||||
| Diagnosis > 7 days | 2.902 | 1.341–6.282 | 0.007 | ||||||
| Stroke | 2.165 | 1.334–3.516 | 0.002 | ||||||
| Tumor | 1.687 | 1.014–2.808 | 0.044 | ||||||
| Liver disease | 1.912 | 1.090–3.355 | 0.024 | 2.114 | 1.310–3.413 | 0.002 | |||
| S. viridans | 0.336 | 0.123–0.924 | 0.035 | ||||||
| S. epidermidis | 4.878 | 1.680–14.160 | 0.004 | ||||||
| AV endocarditis | 0.300 | 0.123–0.734 | 0.008 | ||||||
| Abscess | 1.561 | 1.038–2.348 | 0.032 | ||||||
| CRP (mg/L) | 1.006 | 1.001–1.010 | 0.018 |
Peripheral arterial disease is abbreviated to PAD, Arterial hypertension to AHT, New York heart association heart failure stage to NYHA, Coronary heart disease to CAD, Streptococcus viridans to S. viridans, Staphylococcus epidermidis to S. epidermidis, Aortic valve to AV, C-reactive protein to CRP, Dialysis = Acute and chronic dialysis, Combined surgery = Combined valve surgery, Diagnosis > 7 days = Diagnosis until surgery > 7 days. * Age in the male group was categorized to ≥ 70 years.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Friedrich, C.; Salem, M.; Puehler, T.; Panholzer, B.; Herbers, L.; Reimers, J.; Hummitzsch, L.; Cremer, J.; Haneya, A. Sex-Specific Risk Factors for Short- and Long-Term Outcomes after Surgery in Patients with Infective Endocarditis. J. Clin. Med. 2022, 11, 1875. https://doi.org/10.3390/jcm11071875
AMA Style
Friedrich C, Salem M, Puehler T, Panholzer B, Herbers L, Reimers J, Hummitzsch L, Cremer J, Haneya A. Sex-Specific Risk Factors for Short- and Long-Term Outcomes after Surgery in Patients with Infective Endocarditis. Journal of Clinical Medicine. 2022; 11(7):1875. https://doi.org/10.3390/jcm11071875
Chicago/Turabian StyleFriedrich, Christine, Mohamed Salem, Thomas Puehler, Bernd Panholzer, Lea Herbers, Julia Reimers, Lars Hummitzsch, Jochen Cremer, and Assad Haneya. 2022. "Sex-Specific Risk Factors for Short- and Long-Term Outcomes after Surgery in Patients with Infective Endocarditis" Journal of Clinical Medicine 11, no. 7: 1875. https://doi.org/10.3390/jcm11071875
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
