The need for a specific risk prediction system in native valve infective endocarditis surgery

Prediction of 30-day mortality after surgery for infective endocarditis using risk scores: Insights from a European multicenter comparative validation study

BACKGROUND

It remains unclear today whether risk scores created specifically to predict early mortality after cardiac operations for infective endocarditis (IE) outperform or not the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II).

METHODS

Perioperative data and outcomes from a European multicenter series of patients undergoing surgery for definite IE were retrospectively reviewed. Only the cases with known pathogen and without missing values for all considered variables were retained for analyses. A comparative validation of EuroSCORE II and 5 specific risk scores for early mortality after surgery for IE-(1) STS-IE (Society of Thoracic Surgeons for IE); (2) PALSUSE (Prosthetic valve, Age ≥70, Large intracardiac destruction, Staphylococcus spp, Urgent surgery, Sex (female), EuroSCORE ≥10); (3) ANCLA (Anemia, New York Heart Association class IV, Critical state, Large intracardiac destruction, surgery on thoracic Aorta); (4) AEPEI II (Association pour l'Étude et la Prévention de l'Endocardite Infectieuse II); (5) APORTEI (Análisis de los factores PROnósticos en el Tratamiento quirúrgico de la Endocarditis Infecciosa)-was carried out using calibration plot and receiver-operating characteristic curve analysis. Areas under the curve (AUCs) were compared 1:1 according to the Hanley-McNeil's method. The agreement between APORTEI score and EuroSCORE II of the 30-day mortality prediction after surgery was also appraised.

RESULTS

A total of 1,012 patients from 5 European university-affiliated centers underwent 1,036 cardiac operations, with a 30-day mortality after surgery of 9.7%. All IE-specific risk scores considered achieved better results than EuroSCORE II in terms of calibration; AEPEI II and APORTEI score showed the best performances. Despite poor calibration, EuroSCORE II overcame in discrimination every specific risk score (AUC, 0.751 vs 0.693 or less, P = .01 or less). For a higher/lesser than 20% expected mortality, the agreement of prediction between APORTEI score and EuroSCORE II was 86%.

CONCLUSION

EuroSCORE II discrimination for 30-day mortality after surgery for IE was higher than 5 established IE-specific risk scores. AEPEI II and APORTEI score showed the best results in terms of calibration.

ASSESS-IE: a Novel Risk Score for Patients with Infective Endocarditis

Mortality in patients with infective endocarditis (IE) remains high. The existing risk scores are relatively complex with limited clinical application. This study was conducted to establish a new risk model to predict in-hospital and 6-month mortality in IE patients. A total of 1549 adult patients with definite IE admitted to Guangdong Provincial People's Hospital (n=1354) or Xiamen Cardiovascular Hospital (n=195) were included. The derivation cohort consisted of 1141 patients. The score was developed using the multivariate stepwise logistic regression analysis for in-hospital death. Bootstrap analysis was used for validation. Discrimination and calibration were evaluated by the receiver operating characteristic curve and the Hosmer-Lemeshow goodness-of-fit test. Six risk factors were used as score parameters (1 point for each): aortic valve affected, previous valve replacement surgery, severe heart failure, elevated serum direct bilirubin, moderate-severe anemia and acute stage. The predictive value and calibration of the ASSESS-IE score for in-hospital death were excellent in the derivation (area under the curve [AUC]=0.781, p<0.001; Hosmer-Lemeshow p=0.948) and validation (AUC=0.779, p<0.001; Hosmer-Lemeshow p=0.520) cohorts. The score remained excellent in bootstrap validation (AUC=0.783). The discriminatory ability of the ASSESS-IE score for in-hospital (AUC: 0.781 vs. 0.799, p=0.398) and 6-month mortality (AUC: 0.778 vs. 0.814, p=0.040) were similar with that of Park's score which comprised 14 variables. The ASSESS-IE risk score is a new and robust risk-stratified tool for patients with IE, which might further facilitate clinical decision-making.

Perioperative risk stratification scores in infective endocarditis and its usefulness

Infective endocarditis continues to represent a serious disease worldwide with high morbidity and mortality rates despite advances in diagnosis and treatment. Risk assessment plays a pivotal role in determining the appropriate course of treatment for patients diagnosed with infective endocarditis. In this context, specific endocarditis risk scores have been developed trying to help in the risk assessment process. During the last 15 years, 19 specific endocarditis scores have been published. These newly created scores are very heterogenous in their characteristics, factors included, and validation strategies. The purpose of this review is to analyze the published specific infective endocarditis risk scores and discuss their advantages, limitations, and usefulness.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12055-023-01644-y.

Sex differences and outcomes in surgical infective endocarditis

BACKGROUND

Cardiac surgery for infective endocarditis (IE) is associated with significant hospital mortality, and female sex may be associated with worse outcomes. However, the impact of sex on the presenting characteristics, management, and outcomes of patients operated on for acute infective endocarditis (IE) has not been adequately studied.

OBJECTIVES

The goal of our study was to analyse differences in management and outcome of IE between women and men who undergo surgery.

METHODS

Clinical data of 717 patients undergoing cardiac surgery for IE between December 2005 and December 2019 were prospectively collected. Sex-related postoperative outcomes including in-hospital mortality were recorded. Univariable and multivariable analyses were performed to identify potential sex-related determinant of in-hospital mortality.

RESULTS

In all, 532 male patients (74.2%) and 185 female patients (25.8%) underwent surgery for IE. At baseline, women had more frequent mitral regurgitation with 63 patients (34.1%) than men with 135 patients (25.4%) (P = 0.002). Female sex was associated with higher in-hospital mortality (23.2% versus 17.3%, P = 0.049). However, multivariable analysis revealed age (P < 0.01), antibiotics < 7 days before surgery (P = 0.01) and staphylococcal IE (P < 0.01) but not female sex (P = 0.99) as independent determinants of hospital mortality.

CONCLUSIONS

In this study of patients operated-on for IE, female sex was associated with more severe manifestations of IE and significantly higher in-hospital mortality. However, after multivariable analysis, initial presentation, but not sex, seemed to determine clinical outcomes.

Development and validation of a nomogram for predicting in-hospital mortality in ICU patients with infective endocarditis

BACKGROUND

Infective endocarditis (IE) is a disease with high in-hospital mortality. The objective of the present investigation was to develop and validate a nomogram that precisely anticipates in-hospital mortality in ICU individuals diagnosed with infective endocarditis.

METHODS

Retrospectively collected clinical data of patients with IE admitted to the ICU in the MIMIC IV database were analyzed using the Least Absolute Shrinkage and Selection Operator (LASSO) regression to identify potential hazards. A logistic regression model incorporating multiple factors was established, and a dynamic nomogram was generated to facilitate predictions. To assess the classification performance of the model, an ROC curve was generated, and the AUC value was computed as an indicator of its diagnostic accuracy. The model was subjected to calibration curve analysis and the Hosmer-Lemeshow (HL) test to assess its goodness of fit. To evaluate the clinical relevance of the model, decision-curve analysis (DCA) was conducted.

RESULTS

The research involved a total of 676 patients, who were divided into two cohorts: a training cohort comprising 473 patients and a validation cohort comprising 203 patients. The allocation ratio between the two cohorts was 7:3. Based on the independent predictors identified through LASSO regression, the final selection for constructing the prediction model included five variables: lactate, bicarbonate, white blood cell count (WBC), platelet count, and prothrombin time (PT). The nomogram model demonstrated a robust diagnostic ability in both the cohorts used for training and validation. This is supported by the respective area under the curve (AUC) values of 0.843 and 0.891. The results of the calibration curves and HL tests exhibited acceptable conformity between observed and predicted outcomes. According to the DCA analysis, the nomogram model demonstrated a notable overall clinical advantage compared to the APSIII and SAPSII scoring systems.

CONCLUSIONS

The nomogram developed during the study proved to be highly accurate in forecasting the mortality of patients with IE during hospitalization in the ICU. As a result, it may be useful for clinicians in decision-making and treatment.

Performance of the SHARPEN Score and the Charlson Comorbidity Index for In-Hospital and Post-Discharge Mortality Prediction in Infective Endocarditis

BACKGROUND

Central Illustration : Performance of the SHARPEN Score and the Charlson Comorbidity Index for In-Hospital and Post-Discharge Mortality Prediction in Infective Endocarditis.

BACKGROUND

SHARPEN was the first dedicated score for in-hospital mortality prediction in infective endocarditis (IE) regardless of cardiac surgery.

OBJECTIVES

To analyze the ability of the SHARPEN score to predict in-hospital and post-discharge mortality and compare it with that of the Charlson comorbidity index (CCI).

METHODS

Retrospective cohort study including definite IE (Duke modified criteria) admissions from 2000 to 2016. The area under the ROC curve (AUC-ROC) was calculated to assess predictive ability. Kaplan-Meier curves and Cox regression was performed. P-value < 0.05 was considered statistically significant.

RESULTS

We studied 179 hospital admissions. In-hospital mortality was 22.3%; 68 (38.0%) had cardiac surgery. Median (interquartile range, IQR) SHARPEN and CCI scores were 9(7-11) and 3(2-6), respectively. SHARPEN had better in-hospital mortality prediction than CCI in non-operated patients (AUC-ROC 0.77 vs. 0.62, p = 0.003); there was no difference in overall (p = 0.26) and in operated patients (p = 0.41). SHARPEN > 10 at admission was associated with decreased in-hospital survival in the overall (HR 3.87; p < 0.001), in non-operated (HR 3.46; p = 0.006) and operated (HR 6.86; p < 0.001) patients. CCI > 3 at admission was associated with worse in-hospital survival in the overall (HR 3.0; p = 0.002), and in operated patients (HR 5.57; p = 0.005), but not in non-operated patients (HR 2.13; p = 0.119). Post-discharge survival was worse in patients with SHARPEN > 10 (HR 3.11; p < 0.001) and CCI > 3 (HR 2.63; p < 0.001) at admission; however, there was no difference in predictive ability between these groups.

CONCLUSION

SHARPEN was superior to CCI in predicting in-hospital mortality in non-operated patients. There was no difference between the scores regarding post-discharge mortality.

Predictive performance of surgical mortality risk scores in infective endocarditis

OBJECTIVES

This observational study aimed to evaluate Association pour l'Etude et la Prévention de l'Endocardite Infectieuse (AEPEI) surgery score predictive performance in comparison to general (EuroSCORE I, II) and specific (De Feo, PALSUSE) surgical risk scores for infective endocarditis (IE).

METHODS

The study included patients who underwent surgery for IE during the acute phase at Bichat University Hospital (Paris, France) between 1 January 2006 and 31 December 2016 and at Nancy University Hospital (Nancy, France) between 1 January 2009 and 31 December 2019. Patients with IE complicating percutaneous aortic valve implantations or implantable intra-cardiac devices were excluded. Discrimination and calibration were assessed using receiver operating characteristic curve analysis, calibration curves and the Hosmer-Lemeshow test.

RESULTS

In-hospital mortality rates were 18% at Bichat and 16% at Nancy. Discrimination was high for all risk scores at Bichat (area under the receiver operating characteristic curve = 0.77 for EuroSCORE I, 0.78 for EuroSCORE II, 0.76 for De Feo score, 0.72 for PALSUSE and 0.73 for AEPEI with 95% confidence interval ranging from 0.67 to 0.83), but lower at Nancy (0.56 for EuroSCORE I, 0.65 for EuroSCORE II, 0.63 for De Feo score, 0.67 for PALSUSE and 0.66 for AEPEI score with 95% confidence interval ranging from 0.47 to 0.75). With Brier score, all scores were adequately calibrated in both populations between 0.129 (De Feo) and 0.135 (PALSUSE) for Bichat and between 0.128 (De Feo) and 0.135 (EuroSCORE I) for Nancy. With the Hosmer-Lemeshow test, the AEPEI score exhibited the best calibration (observed/predicted ratio 1.058 in Bichat, 1.087 in Nancy).

CONCLUSIONS

This surgical score external validation in 2 large independent populations demonstrated that the AEPEI surgical score had the best predictive performance compared to other prognosis scores. It could be helpful in clinical practice to assist the endocarditis team in decision-making.

In-hospital outcomes of patients undergoing emergent surgical treatment in patients with infective endocarditis

BACKGROUND

Infective endocarditis is a serious heart disease that may cause several different clinical conditions and can need urgent surgical therapy. In our study, we aimed to evaluate the patients with infective endocarditis undergoing acute surgical treatment results in-hospital mortality.

METHODS

A total of 107 consecutive patients with infective endocarditis undergoing acute surgical therapy were included in our retrospective study. The patients were divided into two groups according to the presence of in-hospital mortality as Group 1 without in-hospital mortality (n=89) and Group 2 with in-hospital mortality (n=18). The demographic, laboratory, and clinical parameters were evaluated in both groups.

RESULTS

The mean age (50±14; 64±14, P<0.001) and the incidence of chronic renal failure (9 [10.1%]; 8 [44.4%], P=0.001) were higher in Group 2 while the ejection fraction was lower in Group 2 (50.0±9.3; 44.6±12.9, P=0.039). The incidence of positive blood culture was also higher in Group 2 (41 [46.1]; 14 [77.8], P=0.014). Aortic bioprosthesis operation (2 [2.2]; 6 [33.3], P<0.001) and mitral bioprosthesis operation (4 [4.5]; 5 [27.8], P=0.008) were higher in Group 2 as well as the incidence of septic shock was also higher in Group 2 (1 [1.1]; 3 [16.7], P=0.015). In addition, in multivariate logistic regression analyses, advanced age (odds ratio [OR]: 1.068, 95% confidence interval [CI]: 1.009-1.130, P: 0.024) and positive blood culture (OR: 4.436, 95% CI: 1.044-18.848, P: 0.044) were found to be independent predictors of in-hospital mortality.

CONCLUSION

Advanced age, lower ejection fraction, high creatinine, positive blood culture, high systolic pulmonary artery pressure, and septic shock predicted in-hospital death in patients who have undergone emergent or urgent surgery due to infective endocarditis.

Infective Endocarditis-Update for the Perioperative Clinician

Infective endocarditis is a common pathology routinely encountered by perioperative physicians. There has been a need for a comprehensive review of this important topic. In this expert review, the authors discuss in detail the incidence, etiology, definition, microbiology, and trends of infective endocarditis. The authors discuss the clinical and imaging criteria for diagnosing infective endocarditis and the perioperative considerations for the same. Other imaging modalities to evaluate infective endocarditis also are discussed. Furthermore, the authors describe in detail the clinical risk scores that are used for determining clinical prognostic criteria and how they are tied to the current societal guidelines. Knowledge about native and prosthetic valve endocarditis, with emphasis on the timing of surgical intervention-focused surgical approaches and analysis of current outcomes, are critical to managing such patients, especially high-risk patients like those with heart failure, patients with intravenous drug abuse, and with internal pacemakers and defibrillators in situ. And lastly, with the advancement of percutaneous transcatheter valves becoming a norm for the management of various valvular pathologies, the authors discuss an in-depth review of transcatheter valve endocarditis with a focus on its incidence, the timing of surgical interventions, outcome data, and management of high-risk patients.

CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models

BACKGROUND

Systematic reviews of studies of clinical prediction models are becoming increasingly abundant in the literature. Data extraction and risk of bias assessment are critical steps in any systematic review. CHARMS and PROBAST are the standard tools used for these steps in these reviews of clinical prediction models.

RESULTS

We developed an Excel template for data extraction and risk of bias assessment of clinical prediction models including both recommended tools. The template makes it easier for reviewers to extract data, to assess the risk of bias and applicability, and to produce results tables and figures ready for publication.

CONCLUSION

We hope this template will simplify and standardize the process of conducting a systematic review of prediction models, and promote a better and more comprehensive reporting of these systematic reviews.

Infective endocarditis: Do we have an effective risk score model? A systematic review

Background

Infective endocarditis (IE) is a rare, highly morbid condition with 17% in-hospital mortality. A total of 25-30% require surgery and there is ongoing debate with regard to markers predicting patient outcomes and guiding intervention. This systematic review aims to evaluate all IE risk scores currently available.

Methods

Standard methodology (PRISMA guideline) was used. Papers with risk score analysis for IE patients were included, with attention to studies reporting area under the receiver-operating characteristic curve (AUC/ROC). Qualitative analysis was carried out, including assessment of validation processes and comparison of these results to original derivation cohorts where available. Risk-of-bias analysis illustrated according to PROBAST guidelines.

Results

Of 75 articles initially identified, 32 papers were analyzed for a total of 20 proposed scores (range 66-13,000 patients), 14 of which were specific for IE. The number of variables per score ranged from 3 to 14 with only 50% including microbiological variables and 15% including biomarkers. The following scores had good performance (AUC > 0.8) in studies proposing the score (often the derivation cohort); however fared poorly when applied to a new cohort: PALSUSE, DeFeo, ANCLA, RISK-E, EndoSCORE, MELD-XI, COSTA, and SHARPEN. DeFeo score demonstrated the largest discrepancy with initial AUC of 0.88, compared to 0.58 when applied to different cohorts. The inflammatory response in IE has been well documented and CRP has been found to be an independent predictor for worse outcomes. There is ongoing investigation on alternate inflammatory biomarkers which may assist in IE management. Of the scores identified in this review, only three have included a biomarker as a predictor.

Conclusion

Despite the variety of available scores, their development has been limited by small sample size, retrospective collection of data and short-term outcomes, with lack of external validation, limiting their transportability. Future population studies and large comprehensive registries are required to address this unmet clinical need.

Contemporary risk models for infective endocarditis surgery: a narrative review

Infective endocarditis is a complex heterogeneous condition involving the infection of the endocardium and heart valves, leading to severe complications, including death. Surgery is often indicated in patients with infective endocarditis but is associated with elevated risk compared with other forms of cardiac surgery. Risk models play an important role in many cardiac surgeries as they can help inform clinicians and patients regarding procedural risk, decision-making to proceed or not, and influence perioperative management; however, they remain under-utilized in the infective endocarditis settings. Another crucial role of such risk models is to assess predicted versus found mortality, thereby allowing an assessment of institutional performance in infective endocarditis surgery. Traditionally, general cardiac surgery risk models such as European System for Cardiac Operative Risk Evaluation (EuroSCORE), EuroSCORE II, and Society of Thoracic Surgeon's score have been applied to endocarditis surgery. However, there has been the development of many endocarditis surgery-specific scores over the last decade. This review aims to discuss clinical characteristics and applications of all contemporary risk scores in the setting of surgical treatment of infective endocarditis.

Risk scores' performance and their impact on operative decision-making in left-sided endocarditis: a cohort study

The accuracy of contemporary risk scores in predicting perioperative mortality in infective endocarditis (IE) remains controversial. The aim is to evaluate the performance of existent mortality risk scores for cardiovascular surgery in IE and the impact on operability at high-risk thresholds. A single-center retrospective review of adult patients diagnosed with acute left-sided IE undergoing surgery from May 2014 to August 2019 (n = 142) was done. Individualized risk calculation was obtained according to the available mortality risk scores: EuroScore I and II, PALSUSE, Risk-E, Costa, De Feo-Cotrufo, AEPEI, STS-risk, STS-IE, APORTEI, and ICE-PCS scores. A cross-validation analysis was performed on the score with the best area under the curve (AUC). The 30-day survival was 96.5% (95%CI 91-98%). The score with worse area under the curve (AUC = 0.6) was the STS-IE score, while the higher was for the RISK-E score (AUC = 0.89). The AUC of the majority of risk scores suggested acceptable performance; however, statistically significant differences in expected versus observed mortalities were common. The cross-validation analysis showed that a large number of survivors (> 75%) would not have been operated if arbitrary high-risk threshold estimates had been used to deny surgery. The observed mortality in our cohort is significantly lower than is predicted by contemporary risk scores. Despite the reasonable numeric performance of the analyzed scores, their utility in judging the operability of a given patient remains questionable, as demonstrated in the cross-validation analysis. Future guidelines may advise that denial of surgery should only follow a highly experienced Endocarditis Team evaluation.

Acute valvular emergencies

Acute valvular emergencies represent an important cause of cardiogenic shock. However, their clinical presentation and initial diagnostic testing are often non-specific, resulting in delayed diagnosis. Moreover, metabolic disarray or haemodynamic instability may result in too great a risk for emergent surgery. This review will focus on the aetiology, clinical presentation, diagnostic findings, and treatment options for patients presenting with native acute left-sided valvular emergencies. In addition to surgery, options for medical therapy, mechanical circulatory support, and novel percutaneous interventions are discussed.

Surgery for Aortic Prosthetic Valve Endocarditis in the Transcatheter Era

Objectives: As surgical experience with infective endocarditis following transcatheter aortic valve replacement is scarce, this study compared the perioperative and short-term outcomes of patients suffering from endocarditis following surgical aortic valve replacement and transcatheter aortic valve replacement. Methods: Between January 2013 and December 2020, 468 consecutive patients were admitted to our center for surgery for IE. Among them, 98 were operated on for endocarditis following surgical aortic valve replacement and 22 for endocarditis following transcatheter aortic valve replacement. Results: The median EuroSCORE II (52.1 (40.6–62.0) v/s 45.4 (32.6–58.1), p = 0.207) and STS-PROM (1.8 (1.6–2.1) v/s 1.9 (1.4–2.2), p = 0.622) were comparable. Endocarditis following transcatheter aortic valve replacement accounted for 13.7% of the aortic prosthetic valve endocarditis between 2013 and 2015; this increased to 26.9% in the years 2019 and 2020.Concomitant procedures were performed in 35 patients (29.2%). The operative mortality was 26.5% in the endocarditis following surgical aortic valve replacement group and 9.1% in the endocarditis following transcatheter aortic valve replacement group (p = 0.098). Upon follow-up, survival at 6 months was found to be 98% in the group with endocarditis following surgical aortic valve replacement and 89% in the group with endocarditis following transcatheter aortic valve replacement (p = 0.081). Conclusions: Patients suffering from endocarditis following surgical aortic valve replacement and transcatheter aortic valve replacement present with comparable risk profiles and can be surgically treated with comparable results. Surgery as a curative option should not be rejected even in this intermediate-risk cohort.

Machine Learning-Based Risk Model for Predicting Early Mortality After Surgery for Infective Endocarditis

Background The early mortality after surgery for infective endocarditis is high. Although risk models help identify patients at high risk, most current scoring systems are inaccurate or inconvenient. The objective of this study was to construct an accurate and easy-to-use prediction model to identify patients at high risk of early mortality after surgery for infective endocarditis. Methods and Results A total of 476 consecutive patients with infective endocarditis who underwent surgery at 2 centers were included. The development cohort consisted of 276 patients. Eight variables were selected from 89 potential predictors as input of the XGBoost model to train the prediction model, including platelet count, serum albumin, current heart failure, urine occult blood ≥(++), diastolic dysfunction, multiple valve involvement, tricuspid valve involvement, and vegetation >10 mm. The completed prediction model was tested in 2 separate cohorts for internal and external validation. The internal test cohort consisted of 125 patients independent of the development cohort, and the external test cohort consisted of 75 patients from another center. In the internal test cohort, the area under the curve was 0.813 (95% CI, 0.670-0.933) and in the external test cohort the area under the curve was 0.812 (95% CI, 0.606-0.956). The area under the curve was significantly higher than that of other ensemble learning models, logistic regression model, and European System for Cardiac Operative Risk Evaluation II (all, P<0.01). This model was used to develop an online, open-access calculator (http://42.240.140.58:1808/). Conclusions We constructed and validated an accurate and robust machine learning-based risk model to predict early mortality after surgery for infective endocarditis, which may help clinical decision-making and improve outcomes.

Surgical Procedure Time and Mortality in Patients with Infective Endocarditis Caused by Staphylococcus aureus or Streptococcus Species

Staphylococcus aureus (SA) and Streptococcus species (SS) show different clinical manifestations in infective endocarditis (IE), but the impact on the complexity of surgical treatment remains unclear. All patients with surgically treated IE due to SA or SS between July 2013 and December 2016 were extracted from a prospectively collected, single-center registry. Data on patient characteristics, surgical procedures, and postprocedural outcomes were collected. SA-IE was more common with prosthetic valves (26.3% vs. 7.3%, p = 0.04), cardiac devices (14.3% vs. 0%, p = 0.03), previous cardiac surgery (28.6% vs. 9.8%, p = 0.03), intravenous drug abuse (14.3% vs. 0%, p = 0.03), and embolic events (57.1% vs. 26.8%, p = 0.007). Preoperative CRP was significantly higher in SA-IE (median 96.1 mg/L vs. 42.4 mg/L, p = 0.002). Otherwise, SS-IE affected more cusps/leaflets (mean 2.4 vs. 1.8, p = 0.03) and led to more valve dysfunction (83.8% vs. 54.3%, p = 0.007). Surgery times did not differ between the groups, though patients with SA spent more time in the intensive care unit (median 7 vs. 4.5 days, p = 0.04). Hospital mortality did not differ, but patients with SA-IE had unfavorable long-term survival (p = 0.001). Future studies need to be larger and focus on the mechanism behind the reduced long-term survival to mitigate the deleterious effect of SA in surgically treated patients with IE.

Anesthesia Considerations in Infective Endocarditis

The management of infective endocarditis is complex and inherently requires multidisciplinary cooperation. About half of all patients diagnosed with infective endocarditis will meet the criteria to undergo cardiac surgery, which regularly takes place in urgent or emergency settings. The pathophysiology and clinical presentation of infective endocarditis make it a unique disorder within cardiac surgery that warrants a thorough understanding of specific characteristics in the perioperative period. This includes, among others, echocardiography, coagulation, bleeding management, or treatment of organ dysfunction. In this narrative review article, the authors summarize the current knowledge on infective endocarditis relevant for the clinical anesthesiologist in perioperative management of respective patients. Furthermore, the authors advocate for the anesthesiologist to become a structural member of the endocarditis team.

Valve endocarditis, to repair or not to repair, is that really the question?

The meta-analysis by He et al. has the worth to cover, as much as possible, a gap of scientific evidence were conducting a randomized trial appears very complex for ethical and logistical reasons. The authors concluded that mitral valve repair (MVP) provides better-pooled results, both early and late, with respect to mitral valve replacement. However, the superiority of MVP is driven by some single large cohort studies where surgeons had wide experience in the field of MVP for infective endocarditis. This finding is also confirmed by other studies. But if mitral repair produces such a better short- and long-term survival than replacement, why are there no clear indications from consensus and guidelines pushing surgeons toward the pursuit of a reconstructive procedure at almost any cost? We wonder to repair or not to repair, is that really the question? The AATS consensus suggests repairing "whenever possible" but without providing more specific indications. If the two primary goals of surgery are total removal of infected tissues and reconstruction of cardiac morphology, including repair or replacement of the affected valve(s), probably MVP should be performed in case of less extensive tissue detriment by the infection. In more wide valve involvement, MVP may be the choice but only in very expert hands and in Centers with a very large volumes of valve repairing. This decision cannot, therefore, be the result of the choice of an individual but must derive from a careful multidisciplinary discussion to be held in an EndoTeam.

Current recommendations and uncertainties for surgical treatment of infective endocarditis: a comparison of American and European cardiovascular guidelines

Surgery is an effective therapy in the treatment of left-sided infective endocarditis (IE) in patients for whom antibiotic treatment alone is unlikely to be curative or may be associated with ongoing risk of complications. However, the interplay between indication for surgery, its risk, and timing is complex and there continue to be challenges in defining the effects of surgery on disease-related outcome. Guidelines published by the American College of Cardiology/American Heart Association and the European Society of Cardiology provide recommendations for the use of surgery in IE, but these are limited by a low level of evidence related to predominantly observational studies with inherent selection and survival biases. Evidence to guide the timing of surgery in IE is less robust, and predominantly based on expert consensus. Delays between IE diagnosis and recognition of an IE complication as a surgical indication and transfers to surgical centres also impact surgical timing. This comparison of the two guidelines exposes areas of uncertainty and gaps in current evidence for the use of surgery in IE across different indications, particularly related to its timing and consideration of operative risk.

Prognostic models for mortality after cardiac surgery in patients with infective endocarditis: a systematic review and aggregation of prediction models

BACKGROUND

There are several prognostic models to estimate the risk of mortality after surgery for active infective endocarditis (IE). However, these models incorporate different predictors and their performance is uncertain.

OBJECTIVE

We systematically reviewed and critically appraised all available prediction models of postoperative mortality in patients undergoing surgery for IE, and aggregated them into a meta-model.

DATA SOURCES

We searched Medline and EMBASE databases from inception to June 2020.

STUDY ELIGIBILITY CRITERIA

We included studies that developed or updated a prognostic model of postoperative mortality in patient with IE.

METHODS

We assessed the risk of bias of the models using PROBAST (Prediction model Risk Of Bias ASsessment Tool) and we aggregated them into an aggregate meta-model based on stacked regressions and optimized it for a nationwide registry of IE patients. The meta-model performance was assessed using bootstrap validation methods and adjusted for optimism.

RESULTS

We identified 11 prognostic models for postoperative mortality. Eight models had a high risk of bias. The meta-model included weighted predictors from the remaining three models (EndoSCORE, specific ES-I and specific ES-II), which were not rated as high risk of bias and provided full model equations. Additionally, two variables (age and infectious agent) that had been modelled differently across studies, were estimated based on the nationwide registry. The performance of the meta-model was better than the original three models, with the corresponding performance measures: C-statistics 0.79 (95% CI 0.76-0.82), calibration slope 0.98 (95% CI 0.86-1.13) and calibration-in-the-large -0.05 (95% CI -0.20 to 0.11).

CONCLUSIONS

The meta-model outperformed published models and showed a robust predictive capacity for predicting the individualized risk of postoperative mortality in patients with IE.

PROTOCOL REGISTRATION

PROSPERO (registration number CRD42020192602).

Prognostic impact of cardiac surgery in left-sided infective endocarditis according to risk profile

OBJECTIVE

To evaluate the prognostic impact of urgent cardiac surgery on the prognosis of left-sided infective endocarditis (LSIE) and its relationship to the basal risk of the patient and to the surgical indication.

METHODS

605 patients with LSIE and formal surgical indication were consecutively recruited between 2000 and 2020 among three tertiary centres: 405 underwent surgery during the active phase of the disease and 200 did not despite having indication. The prognostic impact of urgent surgery was evaluated by multivariable analysis and propensity score analysis. We studied the benefit of surgery according to baseline mortality risk defined by the ENDOVAL score and according to surgical indication.

RESULTS

Surgery is an independent predictor of survival in LSIE with surgical indication both by multivariable analysis (OR 0.260, 95% CI 0.162 to 0.416) and propensity score (mortality 40% vs 66%, p<0.001). Its greatest prognostic benefit is seen in patients at highest risk (predicted mortality 80%-100%: OR 0.08, 95% CI 0.021 to 0.299). The benefit of surgery is especially remarkable for uncontrolled infection indication (OR 0.385, 95% CI 0.194 to 0.765), even in combination with heart failure (OR 0.220, 95% CI 0.077 to 0.632).

CONCLUSIONS

Surgery during active LSIE seems to significantly reduce in-hospital mortality. The higher the risk, the higher the improvement in outcome.

Prognostic assessment of valvular surgery in active infective endocarditis: multicentric nationwide validation of a new score developed from a meta-analysis

OBJECTIVES

Several risk prediction models have been developed to estimate the risk of mortality after valve surgery for active infective endocarditis (IE), but few external validations have been conducted to assess their accuracy. We previously developed a systematic review and meta-analysis of the impact of IE-specific factors for the in-hospital mortality rate after IE valve surgery, whose obtained pooled estimations were the basis for the development of a new score (APORTEI). The aim of the present study was to assess its prognostic accuracy in a nationwide cohort.

METHODS

We analysed the prognostic utility of the APORTEI score using patient-level data from a multicentric national cohort. Patients who underwent surgery for active IE between 2008 and 2018 were included. Discrimination was evaluated using the area under the receiver operating characteristic curve, and the calibration was assessed using the calibration slope and the Hosmer-Lemeshow test. Agreement between the APORTEI and the EuroSCORE I was also analysed by Lin's concordance correlation coefficient (CCC), the Bland-Altman agreement analysis and a scatterplot graph.

RESULTS

The 11 variables that comprised the APORTEI score were analysed in the sample. The APORTEI score was calculated in 1338 patients. The overall observed surgical mortality rate was 25.56%. The score demonstrated adequate discrimination (area under the receiver operating characteristic curve = 0.75; 95% confidence interval 0.72-0.77) and calibration (calibration slope = 1.03; Hosmer-Lemeshow test P = 0.389). We found a lack of agreement between the APORTEI and EuroSCORE I (concordance correlation coefficient = 0.55).

CONCLUSIONS

The APORTEI score, developed from a systematic review and meta-analysis, showed an adequate estimation of the risk of mortality after IE valve surgery in a nationwide cohort.

A narrative review of the interpretation of guidelines for the treatment of infective endocarditis

The recommendations of the current guidelines and the position papers of professional societies from the European Society of Cardiology/European Society of Cardiothoracic Surgeons (ESC), the American College of Cardiology/American Heart Association/Society of Thoracic Surgeon (ACC/AHA/STS) and American Association of Thoracic Surgeon (AATS) regarding management of patients with valvular heart endocarditis were updated over the past decade. However, some of the recommendations appear to contradict one another. Given the changing paradigms on how the disease manifests, our aim was to review the respective guidelines and highlight these differences whilst drawing attention to the subsequent studies from which they were derived. In particular, concerns regarding antibiotic prophylaxis and therapy, imaging modality for diagnosis and follow-up, cerebrovascular sequalae and timing of surgery are appraised in detail. We also identified the novel techniques used such as transcatheter therapies and advances in imaging modalities used for diagnosis and treatment of this condition. The lack of randomised control trials (RCTs) does raise several issues regarding applicability of findings in day-to-day practice. Therefore, the focus of upcoming studies should be on clearly defined multicenter RCTs to provide more robust evidence for the management and treatment of infective endocarditis as future guidelines will be based on the outcomes of these trials.

A management framework for left sided endocarditis: a narrative review

Left sided endocarditis (LSE) can include the entirety or portion of mitral and/or aortic valve and the structures in their anatomical contiguity and represent a significant portion of emergency surgical activity. Literature and guidelines on the management of LSE relies mainly on observational studies given the difficulty in designing randomized trials in emergency settings. Heart teams (HT) are often called in to difficult decisions on the most appropriate strategy to adopted in case of LSE. Decision-making should take into account the localization and the extension of the infection, patient preoperative status and comorbidities, presence of a previous valve prosthesis and best timing for surgery. Despite evidence suggests that early surgery may improve survival in patients with complicated infective endocarditis (IE), an increased risk of recurrence and postoperative valvular dysfunctions has been reported. The most important factors associated with long-term outcomes are preoperative multiorgan failure, prosthetic mechanical valve IE, vegetation size ≥15 mm, and timing of surgical treatment. Importantly, up to one third of potential candidates do not undergo surgery and these patients experience extremely high mortality rates. Another important point regards the choice of the optimal valve substitute to be used according to the different clinical situation. The lack of RCT in this field and the difficulty to design this type of studies in the case of non-elective conditions further complicates the possibility to achieve a univocal consensus on the best strategy to be adopted in each form of LSE and further validation studies are needed. On the basis of the current evidences a decisional algorithm is proposed summarizing all the crucial aspects in the management of LSE.

[Surgical treatment of infective endocarditis: Surgical indications, complications, intrahospital and long-term mortality]

BACKGROUND

In addition to medical treatment, half of the patients with infective endocarditis (IE) receive surgical treatment. Despite clear recommendations on the indications and the operating delays, the decision remains difficult and must take into consideration several factors.

METHODS

A retrospective study was performed at Foch Hospital. All patients operated for IE between 2005 and 2018 were included. Patient characteristics, indications and operating delays, as well as intrahospital mortality, were noted. Patient follow-up was provided by phone calls.

RESULTS

Fifty-two patients were operated on for IE between 2005 and 2018. The most frequent surgical indications were the presence of a massive symptomatic regurgitation, an uncontrolled infection and large vegetations with embolism. The average operative delay was 13.2 days with 56.5% of patients operated within the first 10 days. The most common postoperative complications were acute kidney injury (AKI) in 57.7% of cases, with 9.6% of dialysis, shock in 50% of cases, rhythm disorders in 40.4% of cases, infectious complications in 19.2% of cases, conductive disorders in 25% of cases, of which 17.3% require a definitive pacemaker implementation. The intrahospital mortality was 7.7% and the average length of hospital stay was 35 days. Survival at one year and 5 years was 95% and 85%, respectively.

CONCLUSION

The indications and the operating delays were conformed to international recommendations. Intrahospital and long-term mortality rate was low.

Complementary Diagnostic and Prognostic Contributions of Cardiac Computed Tomography for Infective Endocarditis Surgery

BACKGROUND

Cardiac computed tomography (CT) is emerging as an adjunctive modality to echocardiography in the evaluation of infective endocarditis (IE) and surgical planning. CT studies in IE have, however, focused on its diagnostic rather than prognostic utility, the latter of which is important in high-risk diseases like IE. We evaluated the associations between cardiac CT and transesophageal echocardiography (TEE) findings and adverse outcomes after IE surgery.

METHODS

Of 833 consecutive patients with surgically proven IE during May 1, 2014 to May 1, 2019, at Cleveland Clinic, 155 underwent both preoperative ECG-gated contrast-enhanced CT and TEE. Multivariable analyses were performed to identify CT and TEE biomarkers that predict adverse outcomes after IE surgery, adjusting for EuroSCORE II (European System for Cardiac operative Risk Evaluation II).

RESULTS

CT and TEE were positive for IE in 123 (75.0%) and 124 (75.6%) of patients, respectively. Thirty-day mortality occurred in 3 (1.9%) patients and composite mortality or morbidities in 72 (46.5%). Pseudoaneurysm or abscess detected on TEE was the only imaging biomarker to show independent association with composite mortality or morbidities in-hospital, with odds ratio (95% CI) of 3.66 (1.76-7.59), P=0.001. There were 17 late deaths, and both pseudoaneurysm or abscess detected on CT and fistula detected on CT were the only independent predictors of total mortality during follow-up, with hazards ratios (95% CI) of 3.82 (1.25-11.7), P<0.001 and 9.84 (1.89-51.0), P=0.007, respectively.

CONCLUSIONS

We identified cardiac CT and TEE features that predicted separate adverse outcomes after IE surgery. Imaging biomarkers can play important roles incremental to conventional clinical factors for risk stratification in patients undergoing IE surgery.

The fate of active left-side infective endocarditis with operative indication in absence of valve surgery

OBJECTIVES

Although the benefits of surgery in infective endocarditis (IE) are clear, an unneglectable proportion of patients do not undergo surgery despite clear operative indication. Outcomes of these patients are poorly reported. With this study, we aim to analyze patient profiles, indication for surgery, decision-making, and outcomes of patients not undergoing surgery despite contemporary surgical indications.

MATERIALS AND METHODS

Retrospective review of single institution database of patients with IE was done to identify patients that, although a clear surgical indication did not receive surgery. We aimed to review the most contemporary practice from June 2014 to December 2018. Only patients who were physically evaluated at our facility were included. Follow up was 100% complete. Kaplan-Meier methods were used to estimate survival and freedom from a composite outcome of death, stroke, and heart failure.

RESULTS

Of the 174 patients with surgical indication during the review period, 46 (27%) did not undergo surgery. The reasons for not pursuing surgery were varied and usually multiple, with severe brain injury and end stage liver disease between the most common. The 30-day mortality was 63%, and the estimated survival at 6 months, 1 year, and 2 years was respectively 22%, 15%, and 10%.

CONCLUSION

The mortality of this cohort of patients is extremely high. A multidisciplinary evaluation is of paramount importance in the decision-making process with shared responsibility for denial of operative options. In a perspective of correct healthcare resources allocation an early palliative care consult may need to be considered in some of those patients.

Optimizing outcomes in infective endocarditis: A comprehensive literature review

BACKGROUND

Despite being rare, infective endocarditis (IE) is a life-threatening disease with poor prognosis. New diagnostic and therapeutic strategies are emerging; however, predisposing factors and microbiology of the disease are also changing with time. Because of this, there has been a lack of reduction in the disease's incidence and new challenges for clinicians have arisen such as an increasingly aging population and growing antimicrobial resistance.

AIMS

In this paper, we aim to provide an overview of the changing trends in IE, current diagnosis, and management strategies, as well as the emerging role of the infective endocarditis teams in the care of patients with this disease.

MATERIALS & METHODS

A comprehensive electronic search was done utilizing PubMed, Ovid, SCOPUS, Embase and google scholar. The search terms included 'Endocarditis', 'IE', 'Infection', 'Vegetation', 'Duke criteria', 'native valve infection', 'prosthetic valve', 'valve infection', 'endocarditis outcome' and 'endocarditis bacteriology'. The references of the identified articles were then searched for any potential articles that can be included. The inclusion criteria were any article that discussed the evidence behind incidence and management of IE including the role of endocarditis team. The exclusion criteria were case reports, expert opinion, and editorials.

RESULTS

All the relevant findings are summarized in specified tables and within appropriate sections.

DISCUSSION

It is vital to determine the current trends in the epidemiology and microbiology of the condition so that the diagnostic threshold can be adapted, to identify new at-risk groups and achieve an accelerated evaluation strategy that allows for earlier diagnosis and treatment.

CONCLUSION

Management of IE can benefit from the input of different specialties, such as cardiology, cardiothoracic surgery, infectious disease, and microbiology. Therefore, adopting a multidisciplinary approach towards treatment is crucial to reduce morbidity and mortality from preventable complications of this pathology.

Culture-negative infective endocarditis (CNIE): impact on postoperative mortality

Introduction

Poor postoperative outcomes have been reported after surgery for infective endocarditis (IE). Whether the absence of positive cultures impacts the prognosis remains a matter of discussion. The aim of this study was to evaluate the impact of negative cultures on the prognosis of surgically treated IE.

Methods

This was a single-center, retrospective study. From January 2000 to June 2019, all patients who underwent valvular surgery for IE were included in the study. The primary endpoint was early postoperative mortality. A covariate balancing propensity score was developed to minimize the differences between the culture-positive IE (CPIE) and culture-negative IE (CNIE) cohorts. Using the estimated propensity scores as weights, an inverse probability treatment weighting (IPTW) model was built to generate a weighted cohort. Then, to adjust for confounding related to CPIE and CNIE, a doubly robust method that combines regression model with IPTW by propensity score was adopted to estimate the causal effect of the exposure on the outcome.

Results

During the study period, 327 consecutive patients underwent valvular repair/replacement with the use of cardiopulmonary bypass and cardioplegic cardiac arrest for IE. Their mean age was 61.4 ± 15.4 years, and 246 were males (75.2%). Native valve IE and prosthetic valve IE accounted for 87.5% and 12.5% of cases, respectively. Aortic (182/327, 55.7%) and mitral valves (166/327, 50.8%) were mostly involved; 20.5% of isolated mitral valve diseases were repaired (22/107 patients). The tricuspid valve was involved in 10 patients (3.3%), and the pulmonary valve in 1 patient (<1%). Fifty-nine patients had multiple-valve disease (18.0%). Blood cultures were negative in 136/327 (41.6 %). A higher postoperative mortality was registered in CNIE than in CPIE patients (19% vs 9%, respectively, p = 0.01). The doubly robust analysis after IPTW by propensity score showed CNIE to be associated with early postoperative mortality (odds ratio 2.10; 95% CI, 1.04–4.26, p = 0.04).

Conclusions

In our cohort, CNIE was associated with a higher early postoperative mortality in surgically treated IE patients after dedicated adjustment for confounding. In this perspective, any effort to improve preoperative microbiological diagnosis, thus allowing targeted therapeutic initiatives, might lead to overall better postoperative outcomes in surgically treated IE.

Infective endocarditis: innovations in the management of an old disease

The annual incidence of infective endocarditis (IE) is estimated to be between 15 and 80 cases per million persons in population-based studies. The incidence of IE is markedly increased in patients with valve prostheses (>4 per 1,000) or with prior IE (>10 per 1,000). The interaction between platelets, microorganisms and diseased valvular endothelium is the cause of vegetations and valvular or perivalvular tissue destruction. Owing to its complexity, the diagnosis of IE is facilitated by the use of the standardized Duke-Li classification, which combines two major criteria (microbiology and imaging) with five minor criteria. However, the sensitivity of the Duke-Li classification is suboptimal, particularly in prosthetic IE, and can be improved by the use of PET or radiolabelled leukocyte scintigraphy. Prolonged antibiotic therapy is mandatory. Indications for surgery during acute IE depend on the presence of haemodynamic, septic and embolic complications. The most urgent indications for surgery are related to heart failure. In the past decade, the prevention of IE has been reoriented, with indications for antibiotic prophylaxis now limited to patients at high risk of IE undergoing dental procedures. Guidelines now emphasize the importance of nonspecific oral and cutaneous hygiene in individual patients and during health-care procedures.

Risk Factors for Mortality in Patients Undergoing Cardiothoracic Surgery for Infective Endocarditis

BACKGROUND

This study aimed to identify risk factors associated with mortality of patients who undergo cardiac surgery for infective endocarditis.

METHODS

A retrospective review was performed of patients with infective endocarditis who underwent cardiac surgery at a quaternary Australian hospital between 2004 and 2014. Patient data were collected and prospectively analyzed.

RESULTS

In all, 465 patients underwent surgery during the study period, with 30 deaths (6.45%). Factors independently associated with in-hospital mortality were increasing age (odds ratio [OR] 1.04; 95% confidence interval [CI], 1.01 to 1.07; P = .009), active bacterial endocarditis at time of operation (OR 4.91; 95% CI, 1.01 to 23.8; P = .048), preoperative invasive positive pressure ventilation (OR 3.65; 95% CI, 1.18 to 11.27; P = .025), increasing cardiopulmonary bypass time (OR 1.01; 95% CI, 1.006 to 1.014; P < .001), and increasing European System for Cardiac Operative Risk Evaluation score (OR 21.73; 95% CI, 2.12 to 223.11; P < .01).

CONCLUSIONS

The in-hospital mortality of patients with infective endocarditis remains significant, with potential risk factors including increasing age, active bacterial endocarditis, preoperative invasive positive pressure ventilation, increasing cardiopulmonary bypass time, and high European System for Cardiac Operative Risk Evaluation score.

Prognostic factors of mortality after surgery in infective endocarditis: systematic review and meta-analysis

PURPOSE

There is a lack of consensus about which endocarditis-specific preoperative characteristics have an actual impact over postoperative mortality. Our objective was the identification and quantification of these factors.

METHODS

We performed a systematic review of all the studies which reported factors related to in-hospital mortality after surgery for acute infective endocarditis, conducted according to PRISMA recommendations. A search string was constructed and applied on three different databases. Two investigators independently reviewed the retrieved references. Quality assessment was performed for identification of potential biases. All the variables that were included in at least two validated risk scores were meta-analyzed independently, and the pooled estimates were expressed as odds ratios (OR) with their confidence intervals (CI).

RESULTS

The final sample consisted on 16 studies, comprising a total of 7484 patients. The overall pooled OR were statistically significant (p < 0.05) for: age (OR 1.03, 95% CI 1.00-1.05), female sex (OR 1.56, 95% CI 1.35-1.81), urgent or emergency surgery (OR 2.39 95% CI 1.91-3.00), previous cardiac surgery (OR 2.19, 95% CI 1.84-2.61), NYHA ≥ III (OR 1.84, 95% CI 1.33-2.55), cardiogenic shock (OR 4.15, 95% CI 3.06-5.64), prosthetic valve (OR 1.98, 95% CI 1.68-2.33), multivalvular affection (OR 1.35, 95% CI 1.01-1.82), renal failure (OR 2.57, 95% CI 2.15-3.06), paravalvular abscess (OR 2.39, 95% CI 1.77-3.22) and S. aureus infection (OR 2.27, 95% CI 1.89-2.73).

CONCLUSIONS

After a systematic review, we identified 11 preoperative factors related to an increased postoperative mortality. The meta-analysis of each of these factors showed a significant association with an increased in-hospital mortality after surgery for active infective endocarditis. Graph summary of the Pooled Odds Ratios of the 11 preoperative factors analyzed after the systematic review and meta-analysis.

Clinical Analysis of 161 Cases of Surgical Treatment of Infective Endocarditis

Objective: To evaluate the diagnostic criteria, surgical indications, and prognostic factors in the surgical treatment of infective endocarditis (IE). Methods: A total of 161 cases of post-operative IE treated at our hospital from January 2007 to December 2016 were included. The IE was diagnosed by the modified Duke criteria. Echocardiography and standard blood cultures were performed. These cases were divided into severe and non-severe adverse event groups. The association between prognostic factors and severe versus non-severe outcomes was examined using logistic regression. Results: Thirty patients (20.1%) with post-operative IE had positive pre-operative blood cultures, and 130 patients (80.7%) had valve vegetations. Four patients (2.5%) died within 30 days post-operatively. Twenty-two patients experienced severe adverse events. There were significant differences between the two groups regarding their serum albumin and creatinine concentrations, ejection fraction, and hospitalization, cardiopulmonary bypass, aortic cross-clamp, intensive care unit (ICU), and ventilation times (all p < 0.05). The bypass time, aortic cross-clamp time, and ICU time were identified as prognostic factors for severe adverse events. Conclusion: Echocardiography is an important diagnostic method for IE, and repeated tests might improve the sensitivity of diagnosis. Cardiac surgery seems to be an effective treatment for IE. Patient screening and reducing the operative time may improve the prognosis for patients who undergo surgical treatment for IE.

[Treatment of infectious endocarditis]

Antibiotic treatment of infective endocarditis is part of a multidisciplinary patient management that should be conducted within an "Endocarditis team". Initial antibiotic treatment of infective endocarditis should be parenteral and comply with current international guidelines. A switch to an oral antibiotic regimen may be considered after 2weeks of successful parenteral antibiotic treatment. Aminoglycosides should no longer be used for the initial treatment of native valve Staphylococcus aureus endocarditis. Valve surgery is required in almost half of the patients.

Risk scores and surgery for infective endocarditis: in search of a good predictive score

Objectives: To evaluate scoring systems that have been created to predict the risk of death post-surgery in infective endocarditis (IE). Design: Eight scores - (1) The Society of Thoracic Surgery (STS) risk score for IE, (2) De Feo score, (3) PALSUSE score (prosthetic valve, age ≥70, large intracardiac destruction, Staphylococcus spp, urgent surgery, sex [female], EuroSCORE ≥10), (4) ANCLA score (anemia, New York Heart Association class IV, critical state, large intracardiac destruction, surgery of thoracic aorta), (5) Risk-Endocarditis Score (RISK-E), (6) score for heart valve or prosthesis IE (EndoSCORE), and (7,8) Association pour l'Étude et la Prévention de l'Endocadite Infectieuse (AEPEI) score I and II - were evaluated in 324 (mean age, 61.8 ± 14.6 years) consecutive patients having IE and undergoing cardiac operation (1999-2018, Regione Autonoma Friuli-Venezia Giulia, Italy). Results: There were 45 (13.9%) in-hospital deaths. Despite many differences on the number and the type of variables, all the investigated scores showed good goodness-of-fit (Hosmer-Lemeshow test, p ≥.28). For five scores, accuracy of prediction (receiver-operating characteristic curve analysis) was good (ANCLA score) or fair (STS risk score for IE, PALSUSE score, AEPEI score I and II). When compared one-to-one (Hanley-McNeil method), accuracy of prediction of ANCLA score was higher than all of other risk scores except for AEPEI score I (p = .077). Conclusions: Five of eight scores that were evaluated in this study showed satisfactory performance in predicting in-hospital mortality following surgery for IE. The ANCLA score should be preferred.

Management of endocarditis among persons who inject drugs: A narrative review of surgical and psychiatric approaches and controversies

BACKGROUND

People who inject drugs (PWID) represent a high-risk subgroup of endocarditis patients. This is highlighted by poorer post-operative outcomes in injection drug use-related infective endocarditis (IDU-IE), which is largely attributable to the increased vulnerability of prosthetic valves to re-infection. Consequently, many centres do not perform valve replacement on these patients. A parallel, but often underrecognized, component of care is the role of multidisciplinary management for individuals with IDU-IE, including perioperative addictions and psychiatric care. Consequently, surgical management options in IDU-IE remain a controversial topic.

OBJECTIVES

To determine the characteristics of optimal surgical and psychiatric care for individuals with IDU-IE.

METHODS

We conducted a narrative synthesis of the findings of literature retrieved from searches of computerized databases, hand searches, and authoritative text, organizing the findings into several key themes: clinical characteristics and factors associated with mortality in IDU-IE, alternative surgical management options, perioperative risk stratification techniques, principles of psychiatric and addictions management in IDU-IE, ethical considerations and controversies, and future research directions.

RESULTS/CONCLUSIONS

Managing IDU-IE involves the treatment of two comorbidities: the intra-cardiac infection and the underlying substance use disorder. Cardiac surgery represents a high-intensity intervention with appreciable risk, and the benefit it is not always clear. As patients often present acutely, it is not feasible to use drug abstinence as a prerequisite to surgery. Involvement of inpatient psychiatry and addictions teams, however, appears to be an evidence-based approach that can bridge IDU-IE patients with opioid agonist therapy in hospital and adequate outpatient treatment options for their underlying addiction upon their discharge from hospital. It is likely that a majority of these patients are not receiving optimal psychiatric management despite increasing recognition of efficacy. Further interdisciplinary studies are needed to elucidate optimal surgical and multidisciplinary protocols.

BACKGROUND

Infective endocarditis (IE) is an infection of the innermost lining of the heart often affecting the heart valves. Over the last few decades, the epidemiology of IE has shifted in the developed world and while it continues to be a significant cause of morbidity and mortality, there has been a significant increased incidence among persons who inject drugs (PWID). To date, well-conducted epidemiologic studies of IE among PWID have been sparse, which has limited our ability to fully characterize this disease phenomenon. To address this knowledge deficit, we conducted a narrative synthesis of the findings of literature retrieved from searches of computerized databases, hand searches, and authoritative text, and organized our findings into six key themes: clinical characteristics and factors associated with mortality in IDU-IE, alternative surgical management options, perioperative risk stratification techniques, principles of psychiatric and addictions management in IDU-IE, ethical considerations and controversies, and future research directions.

Effect of the type of surgical indication on mortality in patients with infective endocarditis who are rejected for surgical intervention

AIM

To evaluate the effect of the type of surgical indication on mortality in infective endocarditis (IE) patients who are rejected for surgery.

METHODS AND RESULTS

From January 2008 to December 2016, 2714 patients with definite left-sided IE were attended in the participating hospitals. One thousand six hundred and fifty-three patients (60.9%) presented surgical indications. Five hundred and thirty-eight patients (32.5%) presented surgical indications but received medical treatment alone. The indications for surgery in these patients were uncontrolled infection (366 patients, 68%), heart failure (168 patients, 31.3%) and prevention of embolism (148 patients, 27.6%). One hundred and thirty patients (24.2%) presented more than one indication. The mortality during hospital admission was 60% (323 patients). The in-hospital mortality of patients whose indication for surgery was heart failure, uncontrolled infection or risk of embolism was 75.6%, 61.4% and 54.7%, respectively (p < 0.001). Surgical indications due to heart failure (OR: 3.24; CI 95%: 1.99-5.9) or uncontrolled infection (OR: 1.83; CI 95%: 1.04-3.18) were independently associated with a fatal outcome during hospital admission. Mortality during the first year was 75.4%. The mortality during the first year in patients whose indication for surgery was heart failure, uncontrolled infection or risk of embolism was 85.9%, 76.7% and 72.7%, respectively (p = 0.016). Surgical indication due to heart failure (OR: 3.03; CI 95%: 1.53-5.98) were independently associated with fatal outcome during the first year.

CONCLUSIONS

The type of surgical indication is associated with mortality in IE patients who are rejected for surgical intervention.

Long-term prognosis after surgery for infective endocarditis: Distinction between predictors of early and late survival

OBJECTIVES

Cardiac surgery is a life-saving procedure in patients diagnosed with infective endocarditis (IE). There are several validated risk scores developed to predict early-mortality; nevertheless, long-term survival has been less investigated. The aim of the present study is to analyze the impact of IE-specific risk factors for early and long-term mortality.

METHODS

An observational retrospective study was conducted that included all patients who underwent surgery for IE from 2002 to 2016. Median follow-up time after surgery was 53.2 months (IQI 26.2-106.8 months). In-hospital mortality was analyzed using multiple logistic regression. Long-term survival was analyzed after one, two and five years. Cox proportional hazards regression was employed to identify risk factors related to long-term mortality.

RESULTS

Of the 180 patients underwent cardiac surgery, 133 were discharged alive (in-hospital mortality was 26.11%). 6 variables were identified as independent factors associated with in-hospital mortality, most of them closely related to the severity of IE: age, multivalvular involvement, critical preoperative status, preoperative mechanical ventilation, abscess and thrombocytopenia. Long-term survival in patients discharged alive was 89.1%, 87.4% and 77.6% after one, two and five years. Long-term mortality was independent of specific IE factors and 86.51% of deaths were not related to cardiovascular or infectious diseases.

CONCLUSION

Despite the high perioperative mortality rate after surgical treatment for active IE, long-term survival after hospital discharge was acceptable, regardless of the severity of the endocarditis episode. Although in-hospital survival depended mainly on several IE factors, long-term survival was not related to the severity of endocarditis baseline affection.

A pragmatic approach for mortality prediction after surgery in infective endocarditis: optimizing and refining EuroSCORE

OBJECTIVE

To simplify and optimize the ability of EuroSCORE I and II to predict early mortality after surgery for infective endocarditis (IE).

METHODS

Multicentre retrospective study (n = 775). Simplified scores, eliminating irrelevant variables, and new specific scores, adding specific IE variables, were created. The performance of the original, recalibrated and specific EuroSCOREs was assessed by Brier score, C-statistic and calibration plot in bootstrap samples. The Net Reclassification Index was quantified.

RESULTS

Recalibrated scores including age, previous cardiac surgery, critical preoperative state, New York Heart Association >I, and emergent surgery (EuroSCORE I and II); renal failure and pulmonary hypertension (EuroSCORE I); and urgent surgery (EuroSCORE II) performed better than the original EuroSCOREs (Brier original and recalibrated: EuroSCORE I: 0.1770 and 0.1667; EuroSCORE II: 0.2307 and 0.1680). Performance improved with the addition of fistula, staphylococci and mitral location (EuroSCORE I and II) (Brier specific: EuroSCORE I 0.1587, EuroSCORE II 0.1592). Discrimination improved in specific models (C-statistic original, recalibrated and specific: EuroSCORE I: 0.7340, 0.7471 and 0.7728; EuroSCORE II: 0.7442, 0.7423 and 0.7700). Calibration improved in both EuroSCORE I models (intercept 0.295, slope 0.829 (original); intercept -0.094, slope 0.888 (recalibrated); intercept -0.059, slope 0.925 (specific)) but only in specific EuroSCORE II model (intercept 2.554, slope 1.114 (original); intercept -0.260, slope 0.703 (recalibrated); intercept -0.053, slope 0.930 (specific)). Net Reclassification Index was 5.1% and 20.3% for the specific EuroSCORE I and II.

CONCLUSIONS

The use of simplified EuroSCORE I and EuroSCORE II models in IE with the addition of specific variables may lead to simpler and more accurate models.