Simple Scoring System to Predict In-Hospital Mortality After Surgery for Infective Endocarditis

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.

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.

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.

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.

Combining Phenylalanine and Leucine Levels Predicts 30-Day Mortality in Critically Ill Patients Better than Traditional Risk Factors with Multicenter Validation

In critically ill patients, risk scores are used; however, they do not provide information for nutritional intervention. This study combined the levels of phenylalanine and leucine amino acids (PLA) to improve 30-day mortality prediction in intensive care unit (ICU) patients and to see whether PLA could help interpret the nutritional phases of critical illness. We recruited 676 patients with APACHE II scores ≥ 15 or intubated due to respiratory failure in ICUs, including 537 and 139 patients in the initiation and validation (multicenter) cohorts, respectively. In the initiation cohort, phenylalanine ≥ 88.5 μM (indicating metabolic disturbance) and leucine < 68.9 μM (indicating malnutrition) were associated with higher mortality rate. Based on different levels of phenylalanine and leucine, we developed PLA scores. In different models of multivariable analyses, PLA scores predicted 30-day mortality independent of traditional risk scores (p < 0.001). PLA scores were then classified into low, intermediate, high, and very-high risk categories with observed mortality rates of 9.0%, 23.8%, 45.6%, and 81.8%, respectively. These findings were validated in the multicenter cohort. PLA scores predicted 30-day mortality better than APACHE II and NUTRIC scores and provide a basis for future studies to determine whether PLA-guided nutritional intervention improves the outcomes of patients in ICUs.

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.

Comorbidity and Prognosis in Octogenarians with Infective Endocarditis

Background. Infective endocarditis (IE) in older patients is associated with a high morbidity, mortality, and functional impairment. The purpose of this study was to describe the current profile of IE in octogenarians and to analyze the prognostic impact of baseline comorbidities in this population. Methods. Patients ≥ 80 years and definite IE from the Spanish IE Prospective Database were included. The effect of Charlson Comorbidity Index (CCI) on in-hospital and 12-month mortality was analyzed. Results. From 726 patients, 357 (49%) had CCI ≥ 3 and 369 (51%) CCI < 3. A total of 265 patients (36.6%) died during hospital admission and 338 (45.5%) during 1-year follow-up. CCI ≥ 3 was an independent predictor of in-hospital and 1-year mortality (odds ratio 1.46, 95% confidence interval 1.07−1.99, p = 0.017; hazard ratio 1.34, 95% confidence interval 1.08−1.66, p = 0.007, respectively). Surgical management was less common in patients with high comorbidity (CCI ≥ 3 68 [19.0%] vs. CCI < 3 112 ((30.4%) patients, p < 0.01). From 443 patients with surgical indication, surgery was only performed in 176 (39.7%). Patients with surgical indication treated conservatively had higher mortality than those treated with surgery (in-hospital mortality: 147 (55.1%) vs. 55 (31.3%), p < 0.001), (1-year mortality: 172 (64.4%) vs. 68 [38.6%], p < 0.001). Conclusion. About half of octogenarians with IE had high comorbidity with CCI ≥ 3. CCI ≥ 3 was a strong independent predictor of in-hospital and 1-year mortality. Our data suggest that the underperformance of cardiac surgery in this group of patients might have a role in their poor prognosis.

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.

Impact of Valve Culture Positivity on Prognosis in Patients with Infective Endocarditis Who Underwent Valve Surgery

Introduction

Infective endocarditis (IE) is a severe and fatal infection with high in-hospital and overall mortality rates of approximately up to 30%. Valve culture positivity was associated with in-hospital mortality and postoperative complications; however, few studies have analyzed the relationship between valve cultures and overall mortality over a long observation period. This study aimed to compare the association of valve culture positivity with overall mortality in patients with IE who underwent valve surgery.

Methods

A total of 416 IE patients admitted to a tertiary hospital in South Korea from November 2005 to August 2017 were retrospectively reviewed. A total of 202 IE patients who underwent valve surgery and valve culture were enrolled. The primary endpoint was long-term overall mortality. Kaplan–Meier curve and Cox proportional hazards model were used for survival analysis.

Results

The median follow-up duration was 63 (interquartile range, 38–104) months. Valve cultures were positive in 22 (10.9%) patients. The overall mortality rate was 15.8% (32/202) and was significantly higher in valve culture-positive patients (36.4%, p = 0.011). Positive valve culture [hazard ratio (HR) 3.921, p = 0.002], Charlson Comorbidity Index (HR 1.181, p = 0.004), Coagulase-negative staphylococci (HR 4.233, p = 0.001), new-onset central nervous system complications (HR 3.689, p < 0.001), and new-onset heart failure (HR 4.331, p = 0.001) were significant risk factors for overall mortality.

Conclusions

Valve culture positivity is a significant risk factor for long-term overall mortality in IE patients who underwent valve surgery. The importance of valve culture positivity needs to be re-evaluated, as the valve culture positivity rate increases with increasing early surgical intervention.

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).

Surgery Is Underused in Elderly Patients With Left-Sided Infective Endocarditis: A Nationwide Registry Study

Background

Infective endocarditis is associated with higher mortality in elderly patients, but the role of surgery in this group has not been fully evaluated. The aim of this study was to assess outcomes of left‐sided infective endocarditis in elderly patients and to determine the influence of surgery on mortality in the elderly.

Methods and Results

A nationwide retrospective study was performed of 2186 patients with left‐sided infective endocarditis recorded in the SRIE (Swedish Registry of Infective Endocarditis), divided into patients aged <65 years (n=864), 65 to 79 years (n=806), and ≥80 years (n=516). Survival analysis was performed using the Swedish National Population Registry, and propensity score matching was applied to assess the effect of surgery on survival among patients of all ages. The rate of surgery decreased with increasing age, from 46% in the <65 group to 6% in the ≥80 group. In‐hospital mortality was 3 times higher in the ≥80 group compared with the <65 group (23% versus 7%) and almost twice that of the 65 to 79 group (12%). In propensity‐matched groups, the mortality rate was significantly lower between the ages of 55 and 82 years in patients who underwent surgery compared with patients who did not undergo surgery. Surgery was also associated with better long‐term survival in matched patients who were ≥75 years (hazard ratio, 0.36; 95% CI, 0.24–0.54 [P<0.001]).

Conclusions

The proportion of elderly patients with infective endocarditis who underwent surgery was low compared with that of younger patients. Surgery was associated with lower mortality irrespective of age. In matched elderly patients, long‐term mortality was higher in patients who did not undergo surgery, suggesting that surgery is underused in elderly patients.

Nomogram based on neutrophil-to-platelet ratio to predict in-hospital mortality in infective endocarditis

Aim: To develop a nomogram based on neutrophil-to-platelet ratio (NPR) to predict in-hospital mortality in infective endocarditis (IE) patients. Methods: We retrospectively analyzed 294 consecutive patients classified as survivors or nonsurvivors according to hospitalization outcome. Logistic regression analyses were performed to identify independent predictors for in-hospital mortality. A nomogram based on them was established and assessed by receiver operating characteristic (ROC) curve analysis. Results: Admission NPR (odds ratio [OR] = 1.095, 95% CI: 1.037-1.156), positive blood culture (OR = 9.220; 95% CI: 1.478-57.521) and left-sided endocarditis (OR = 5.099; 95% CI: 1.104-23.553) independently predicted in-hospital mortality in IE. The area under the ROC curve for the nomogram based on these predictors was 0.832. Conclusion: The nomogram based on NPR could be used for early risk stratification of IE patients.

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.

CHA2DS2-VASc Is Associated With In-Hospital Mortality in Patients With Infective Endocarditis: A Cross-Sectional Cohort Study

Background and objective

The CHA₂DS₂-VASc score is a stroke risk stratification tool that is used in patients with atrial fibrillation (AF). Most of its clinical variables have been associated with poor outcomes in patients with infective endocarditis (IE). In this study, we aimed to determine its utility in predicting outcomes in IE patients.

Methods

We included 35,570 patients with IE from the National Inpatient Sample (NIS), 2009-2012. The CHA₂DS₂-VASc score was calculated for each patient. Hierarchical logistic regression was used to estimate the adjusted odds ratio for in-hospital mortality for CHA₂DS₂-VASc scores from 1 to 9, using a score of 0 as the reference score. All clinical characteristics were defined using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes.

Results

The mean age of the sample was 57.81 ±14 years. Higher CHA₂DS₂-VASc scores were associated with increased mortality, and the scores among the sample ranged from 0 for 8.1% to 8 for 21.7%. In the hierarchical logistic regression, after adjusting for age, sex, and relevant comorbidities, as the score increased, so did the odds for overall mortality.

Conclusion

In patients with IE, the CHA₂DS₂-VASc score may serve as a risk assessment tool with which to predict outcomes. Further studies are needed to replicate these findings.

[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.

Analysis of Risk Scores to Predict Mortality in Patients Undergoing Cardiac Surgery for Endocarditis

Fundamento

Escores de risco estão disponíveis para uso na prática clínica diária, mas saber qual deles escolher é ainda incerto.

Objetivos

Avaliar o EuroSCORE logístico, o EuroSCORE II e os escores específicos para endocardite infecciosa STS-IE, PALSUSE, AEPEI, EndoSCORE e RISK-E na predição de mortalidade hospitalar de pacientes submetidos à cirurgia cardíaca por endocardite ativa em um hospital terciário de ensino do sul do Brasil.

Métodos

Estudo de coorte retrospectivo incluindo todos os pacientes com idade ≥ 18 anos submetidos à cirurgia cardíaca por endocardite ativa no centro do estudo entre 2007 e 2016. Foram realizadas análises de calibração (razão de mortalidade observada/esperada, O/E) e de discriminação (área sob a curva ROC, ASC), sendo a comparação das ASC realizada pelo teste de DeLong. P < 0,05 foi considerado estatisticamente significativo

Resultados

Foram incluídos 107 pacientes, sendo a mortalidade hospitalar de 29,0% (IC95%: 20.4-37.6%). A melhor razão de mortalidade O/E foi obtida pelo escore PALSUSE (1,01, IC95%: 0,70-1,42), seguido pelo EuroSCORE logístico (1,3, IC95%: 0,92-1,87). O EuroSCORE logístico apresentou o maior poder discriminatório (ASC 0,77), significativamente superior ao EuroSCORE II (p = 0,03), STS-IE (p = 0,03), PALSUSE (p = 0,03), AEPEI (p = 0,03) e RISK-E (p = 0,02).

Conclusões

Apesar da disponibilidade dos recentes escores específicos, o EuroSCORE logístico foi o melhor preditor de mortalidade em nossa coorte, considerando-se análise de calibração (mortalidade O/E: 1,3) e de discriminação (ASC 0,77). A validação local dos escores específicos é necessária para uma melhor avaliação do risco cirúrgico. (Arq Bras Cardiol. 2020; 114(3):518-524)

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.

Predictive factors of death associated with infective endocarditis in adult patients with congenital heart disease

AIMS

Infective endocarditis is a severe infection which can occur in adult patients with congenital heart disease. We aimed to determine outcomes and risk factors of death in adult congenital heart disease and to investigate differences with infective endocarditis in non-congenital heart disease.

METHODS AND RESULTS

Between March 2000 and June 2018, 671 consecutive episodes of infective endocarditis in adult patients were retrospectively recorded. Cases were classified according to the modified Duke classification. All adult congenital heart disease cases were managed by infectious disease specialists and adult congenital heart disease cardiologists. During this period, 142 infective endocarditis episodes (21%) occurred in adult congenital heart disease patients with simple (46.5%), moderate (21.1%), or complex (32.4%) congenital heart disease. In-hospital mortality was 12.7%. The strongest predictive factors of in-hospital death in multivariate analysis were complexity of congenital heart disease (odds ratio (OR) 8.02, 95% confidence interval (CI) 1.53-42.07), age (OR 1.05, 95% CI 1.00-1.19) and white blood cell count 12 g/L or greater (OR 8.72, 95% CI 2.42-31.43). Patients with congenital heart disease were significantly younger (median age 36 vs. 67 years, P<0.001), had undergone more redo cardiac surgeries (35.7% vs. 11.3%, P<0.01) and presented with more right-sided infective endocarditis (39.4% vs. 7.9%, P<0.01) than patients without congenital heart disease. Congenital heart disease was associated with two-fold lower in-hospital mortality rates (OR 0.37, 95% CI 0.19-0.74), independently of age, gender, obesity, renal function and side of infective endocarditis.

CONCLUSION

Although mortality associated with infective endocarditis is lower in adult patients with congenital heart disease than patients without congenital heart disease, infective endocarditis mortality is particularly high in patients with complex congenital heart disease. Education and prevention about the risk of infective endocarditis is essential, especially in this group.

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.

Predictors of early mortality after surgical treatment of infective endocarditis: a single-center experience

OBJECTIVE

Surgical management of infective endocarditis continues to be challenging and is associated with significant morbidity and mortality. The objective of our study was to determine the risk factors and conditions associated with poor early infective endocarditis surgical treatment outcomes-30-day postoperative mortality.

METHODS

A total of 124 patients who underwent surgery for infective endocarditis at the Hospital of Lithuanian University of Health Sciences Kaunas Clinics from January 2010 to December 2017 were retrospectively included in this study. The primary endpoints were 30-day postoperative mortality and identification of risk factors associated with it. Secondary endpoints were early postoperative outcomes and complication rates.

RESULTS

During the study period, 124 patients with infective endocarditis underwent cardiac surgery, presenting an overall 30-day postoperative mortality rate of 10.48%. Mean age was 58 ± 14.4 years with 95 (76.61%) males. Independent predictive factors of early mortality were age >63 years (odds ratio = 6.4, 95% confidence interval = 1.66-24.66, p = 0.003), body mass index >30 kg/m² (odds ratio = 7.74, 95% confidence interval = 2.20-27.27, p = 0.003), and ischemic heart disease (odds ratio, 6.6, 95% confidence interval = 1.62-26.90, p = 0.003), as well as intraoperative parameters-prolonged aortic cross-clamp >84.5 minutes (odds ratio = 3.79, 95% confidence interval = 1.10-13.08, p = 0.03) and cardiopulmonary bypass time >107.5 minutes (odds ratio = 10.0, 95% confidence interval = 1.26-79.58, p = 0.023). Staphylococcus aureus infection (odds ratio = 5.04, 95% confidence interval = 1.29-19.64, p = 0.012), infective endocarditis-related intracardiac complication such as paravalvular abscess detected by transesophageal echocardiography (odds ratio = 4.32, 95% confidence interval = 1.31-14.25, p = 0.01), and infective endocarditis complicated by septic or cardiogenic shock (odds ratio, 18.43, 95% confidence interval = 4.59-73.98, p = 0.001) were statistically significant factors for increased risk of 30-day postoperative mortality.

CONCLUSION

Surgical treatment of infective endocarditis showed good results in our center. The independent predictors of 30-day postoperative mortality for patients who underwent cardiac surgery for infective endocarditis were age, body mass index, ischemic heart disease, prolonged aortic cross-clamp and cardiopulmonary bypass time, Staphylococcus aureus infection, paravalvular abscess, and septic or cardiogenic shock.

A Simplified Risk Scoring System to Predict Mortality in Cardiovascular Intensive Care Unit

Background

Cardiovascular intensive care unit (CICU) is an area with high mortality rates globally. The prediction of inpatients mortality risk at CICU needs a simplified scoring systems. Hence, this study aims to analyze the predictors for in-hospital mortality of patients whom hospitalized at CICU of Sardjito General Hospital Yogyakarta and to create a mortality risk score based on the results of this analysis.

Methods

Data were obtained from SCIENCE (Sardjito Cardiovascular Intensive Care) registry. Outcomes of 595 consecutive patients (mean age 59.92 ± 13.0 years) from January to November 2017 were recorded retrospectively. Demography, risk factor, comorbidities, laboratory result and other examinations were analyzed by multivariate logistic regression to create two models of scoring system (probability and cut-off model) to predict in-hospital mortality of any cause.

Results

A total of 595 subjects were included in this research; death was found in 55 patients (9.2%). Multiple logistic regression analysis showed some variables that became independent predictor of mortality, i.e. age ≥ 60 years, pneumonia, the use of ventilator machine, and increased of serum glutamate-pyruvate transaminase level, an increased of creatinine level and an ejection fraction < 40%. Receiver operating characteristic (ROC) curve analysis showed a cut-off model scoring system with score 3 to 9 predicting mortality compared to score 0 - 2. This model yielded sensitivity of 80% and specificity 74%. While the probability scoring system (score 0 to 9) showed that the higher the score, the higher the mortality probability (e.g. the mortality of patient with score 2 is 5.27%; while the mortality of patient with score 8 is 87.5%).

Conclusions

Scoring system derived from this study can be used to predict the in-hospital mortality of patients whom hospitalized in our CICU and show a favorable sensitivity and specificity result.

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.

Role of age and comorbidities in mortality of patients with infective endocarditis

PURPOSE

The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality.

METHODS

Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk.

RESULTS

A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32-3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39-1.88),and non-performed surgery (HR:1.64;95% CI:11.16-1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality.

CONCLUSION

There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group.

[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.

A Simple Clinical Pre-procedure Risk Model for Predicting Thrombocytopenia Associated With Periprocedural Use of Tirofiban in Patients Undergoing Percutaneous Coronary Intervention

Background: No risk model for predicting thrombocytopenia associated with periprocedural tirofiban exposure is available. The purpose of this study was to develop a simple clinical pre-procedure risk model based on pre-procedural characteristics for early prediction of thrombocytopenia before patients were exposed to tirofiban. Methods: The series included 1862 patients who underwent percutaneous coronary intervention with tirofiban exposure. Baseline demographic and clinical characteristics were collected from the hospital information system on admission. The earliest pro-procedural platelets within 72 h were used to evaluate the thrombocytopenia incidence. Risk factors associated with thrombocytopenia in patients with tirofiban exposure were investigated by univariable and multivariable analyses. Locally weighted scatterplot smoothing procedure was used to identify the cut points for the numeric variables. The discriminatory power of the scoring system was assessed with the receiver operating characteristic (ROC) curve analysis. Results: The occurrence of thrombocytopenia was 4.02% (75 of 1862), 4.01% (56 of 1396), and 4.08% (19 of 466) in the overall, developmental, and validation data sets, respectively. The risk score was developed based on five independent predictors: age ≥65y, white blood cell ≥12 × 10⁹/L, diabetes mellitus, congestive heart failure, and chronic kidney disease. This tool was well calibrated (Hosmer Lemeshow χ² = 6.914; P = 0.546) and good discrimination was well obtained in validation data set (C-statistic, 0.82). Conclusion: The clinical pre-procedure risk model is a simple and accurate tool for early identification of high-risk patients of thrombocytopenia before tirofiban exposure, allowing for timely and appropriate intervention.