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Clinical Infectious Diseases | 2013

Influence of the Timing of Cardiac Surgery on the Outcome of Patients With Infective Endocarditis and Stroke

Bruno Baršić; Stuart Dickerman; Vladimir Krajinović; Paul Pappas; Javier Altclas; Giampiero Carosi; José Horacio Casabé; Vivian H. Chu; François Delahaye; Jameela Edathodu; Claudio Q. Fortes; Lars Olaison; Ana Pangercic; Mukesh Patel; Igor Rudez; Syahidah Tamin; Josip Vincelj; Arnold S. Bayer; Andrew Wang

BACKGROUND The timing of cardiac surgery after stroke in infective endocarditis (IE) remains controversial. We examined the relationship between the timing of surgery after stroke and the incidence of in-hospital and 1-year mortalities. METHODS Data were obtained from the International Collaboration on Endocarditis-Prospective Cohort Study of 4794 patients with definite IE who were admitted to 64 centers from June 2000 through December 2006. Multivariate logistic regression and Cox regression analyses were performed to estimate the impact of early surgery on hospital and 1-year mortality after adjustments for other significant covariates. RESULTS Of the 857 patients with IE complicated by ischemic stroke syndromes, 198 who underwent valve replacement surgery poststroke were available for analysis. Overall, 58 (29.3%) patients underwent early surgical treatment vs 140 (70.7%) patients who underwent late surgical treatment. After adjustment for other risk factors, early surgery was not significantly associated with increased in-hospital mortality rates (odds ratio, 2.308; 95% confidence interval [CI], .942-5.652). Overall, probability of death after 1-year follow-up did not differ between 2 treatment groups (27.1% in early surgery and 19.2% in late surgery group, P = .328; adjusted hazard ratio, 1.138; 95% CI, .802-1.650). CONCLUSIONS There is no apparent survival benefit in delaying surgery when indicated in IE patients after ischemic stroke. Further observational analyses that include detailed pre- and postoperative clinical neurologic findings and advanced imaging data (eg, ischemic stroke size), may allow for more refined recommendations on the optimal timing of valvular surgery in patients with IE and recent stroke syndromes.


Circulation-cardiovascular Imaging | 2015

Echocardiographic Findings Predict In-Hospital and 1-Year Mortality in Left-Sided Native Valve Staphylococcus aureus Endocarditis Analysis From the International Collaboration on Endocarditis-Prospective Echo Cohort Study

Trine K. Lauridsen; Lawrence P. Park; Steven Y. C. Tong; Christine Selton-Suty; Gail E. Peterson; Enrico Cecchi; Luis Afonso; Gilbert Habib; Syahidah Tamin; Stuart Dickerman; Arnold S. Bayer; Magnus Johansson; Vivian H. Chu; Zainab Samad; Niels Eske Bruun; Vance G. Fowler; Anna Lisa Crowley

Background— Staphylococcus aureus left-sided native valve infective endocarditis (LNVIE) has higher complication and mortality rates compared with endocarditis from other pathogens. Whether echocardiographic variables can predict prognosis in S aureus LNVIE is unknown. Methods and Results— Consecutive patients with LNVIE, enrolled between January 2000 and September 2006, in the International Collaboration on Endocarditis were identified. Subjects without S aureus IE were matched to those with S aureus IE by the propensity of having S aureus . Survival differences were determined using log-rank significance tests. Independent echocardiographic predictors of mortality were identified using Cox-proportional hazards models that included inverse probability of treatment weighting and surgery as a time-dependent covariate. Of 727 subjects with LNVIE and 1-year follow-up, 202 had S aureus IE. One-year survival rates were significantly lower for patients with S aureus IE overall (57% S aureus IE versus 80% non- S aureus IE; P <0.001) and in the propensity-matched cohort (59% S aureus IE versus 68% non- S aureus IE; P <0.05). Intracardiac abscess (hazard ratio, 2.93; 95% confidence interval, 1.52–5.40; P <0.001) and left ventricular ejection fraction <40% (odds ratio, 3.01; 95% confidence interval, 1.35–6.04; P =0.004) were the only independent echocardiographic predictors of in-hospital mortality in S aureus LNVIE. Valve perforation (hazard ratio, 2.16; 95% confidence interval, 1.21–3.68; P =0.006) and intracardiac abscess (hazard ratio, 2.25; 95% confidence interval, 1.26–3.78; P =0.004) were the only independent predictors of 1-year mortality. Conclusions— S aureus is an independent predictor of 1-year mortality in subjects with LNVIE. In S aureus LNVIE, intracardiac abscess and left ventricular ejection fraction <40% independently predicted in-hospital mortality and intracardiac abscess and valve perforation independently predicted 1-year mortality.Background—Staphylococcus aureus left-sided native valve infective endocarditis (LNVIE) has higher complication and mortality rates compared with endocarditis from other pathogens. Whether echocardiographic variables can predict prognosis in S aureus LNVIE is unknown. Methods and Results—Consecutive patients with LNVIE, enrolled between January 2000 and September 2006, in the International Collaboration on Endocarditis were identified. Subjects without S aureus IE were matched to those with S aureus IE by the propensity of having S aureus. Survival differences were determined using log-rank significance tests. Independent echocardiographic predictors of mortality were identified using Cox-proportional hazards models that included inverse probability of treatment weighting and surgery as a time-dependent covariate. Of 727 subjects with LNVIE and 1-year follow-up, 202 had S aureus IE. One-year survival rates were significantly lower for patients with S aureus IE overall (57% S aureus IE versus 80% non-S aureus IE; P<0.001) and in the propensity-matched cohort (59% S aureus IE versus 68% non-S aureus IE; P<0.05). Intracardiac abscess (hazard ratio, 2.93; 95% confidence interval, 1.52–5.40; P<0.001) and left ventricular ejection fraction <40% (odds ratio, 3.01; 95% confidence interval, 1.35–6.04; P=0.004) were the only independent echocardiographic predictors of in-hospital mortality in S aureus LNVIE. Valve perforation (hazard ratio, 2.16; 95% confidence interval, 1.21–3.68; P=0.006) and intracardiac abscess (hazard ratio, 2.25; 95% confidence interval, 1.26–3.78; P=0.004) were the only independent predictors of 1-year mortality. Conclusions—S aureus is an independent predictor of 1-year mortality in subjects with LNVIE. In S aureus LNVIE, intracardiac abscess and left ventricular ejection fraction <40% independently predicted in-hospital mortality and intracardiac abscess and valve perforation independently predicted 1-year mortality.


Circulation-cardiovascular Imaging | 2015

Echocardiographic Findings Predict In-Hospital and 1 Year Mortality in Left-Sided Native Valve Staphylococcus aureus Endocarditis

Trine K. Lauridsen; Steven Y. C. Tong; Christine Selton-Suty; Gail E. Peterson; Enrico Cecchi; Luis Afonso; Gilbert Habib; Syahidah Tamin; Stuart Dickerman; Arnold S. Bayer; Magnus Johansson; Vivian H. Chu; Zainab Samad; Niele E. Bruun; Vance G. Flower; Anna Lisa Crowley

Background— Staphylococcus aureus left-sided native valve infective endocarditis (LNVIE) has higher complication and mortality rates compared with endocarditis from other pathogens. Whether echocardiographic variables can predict prognosis in S aureus LNVIE is unknown. Methods and Results— Consecutive patients with LNVIE, enrolled between January 2000 and September 2006, in the International Collaboration on Endocarditis were identified. Subjects without S aureus IE were matched to those with S aureus IE by the propensity of having S aureus . Survival differences were determined using log-rank significance tests. Independent echocardiographic predictors of mortality were identified using Cox-proportional hazards models that included inverse probability of treatment weighting and surgery as a time-dependent covariate. Of 727 subjects with LNVIE and 1-year follow-up, 202 had S aureus IE. One-year survival rates were significantly lower for patients with S aureus IE overall (57% S aureus IE versus 80% non- S aureus IE; P <0.001) and in the propensity-matched cohort (59% S aureus IE versus 68% non- S aureus IE; P <0.05). Intracardiac abscess (hazard ratio, 2.93; 95% confidence interval, 1.52–5.40; P <0.001) and left ventricular ejection fraction <40% (odds ratio, 3.01; 95% confidence interval, 1.35–6.04; P =0.004) were the only independent echocardiographic predictors of in-hospital mortality in S aureus LNVIE. Valve perforation (hazard ratio, 2.16; 95% confidence interval, 1.21–3.68; P =0.006) and intracardiac abscess (hazard ratio, 2.25; 95% confidence interval, 1.26–3.78; P =0.004) were the only independent predictors of 1-year mortality. Conclusions— S aureus is an independent predictor of 1-year mortality in subjects with LNVIE. In S aureus LNVIE, intracardiac abscess and left ventricular ejection fraction <40% independently predicted in-hospital mortality and intracardiac abscess and valve perforation independently predicted 1-year mortality.Background—Staphylococcus aureus left-sided native valve infective endocarditis (LNVIE) has higher complication and mortality rates compared with endocarditis from other pathogens. Whether echocardiographic variables can predict prognosis in S aureus LNVIE is unknown. Methods and Results—Consecutive patients with LNVIE, enrolled between January 2000 and September 2006, in the International Collaboration on Endocarditis were identified. Subjects without S aureus IE were matched to those with S aureus IE by the propensity of having S aureus. Survival differences were determined using log-rank significance tests. Independent echocardiographic predictors of mortality were identified using Cox-proportional hazards models that included inverse probability of treatment weighting and surgery as a time-dependent covariate. Of 727 subjects with LNVIE and 1-year follow-up, 202 had S aureus IE. One-year survival rates were significantly lower for patients with S aureus IE overall (57% S aureus IE versus 80% non-S aureus IE; P<0.001) and in the propensity-matched cohort (59% S aureus IE versus 68% non-S aureus IE; P<0.05). Intracardiac abscess (hazard ratio, 2.93; 95% confidence interval, 1.52–5.40; P<0.001) and left ventricular ejection fraction <40% (odds ratio, 3.01; 95% confidence interval, 1.35–6.04; P=0.004) were the only independent echocardiographic predictors of in-hospital mortality in S aureus LNVIE. Valve perforation (hazard ratio, 2.16; 95% confidence interval, 1.21–3.68; P=0.006) and intracardiac abscess (hazard ratio, 2.25; 95% confidence interval, 1.26–3.78; P=0.004) were the only independent predictors of 1-year mortality. Conclusions—S aureus is an independent predictor of 1-year mortality in subjects with LNVIE. In S aureus LNVIE, intracardiac abscess and left ventricular ejection fraction <40% independently predicted in-hospital mortality and intracardiac abscess and valve perforation independently predicted 1-year mortality.


International Journal of Cardiovascular Imaging | 2016

Echocardiographic agreement in the diagnostic evaluation for infective endocarditis

Trine K. Lauridsen; Christine Selton-Suty; Steven Y. C. Tong; Luis Afonso; Enrico Cecchi; Lawrence P. Park; Eric Yow; Huiman X. Barnhart; Zainab Samad; Donald P. Levine; Gail E. Peterson; Amy B. Stancoven; Magnus Johansson; Stuart Dickerman; Syahidah Tamin; Gilbert Habib; Pamela S. Douglas; Niels Eske Bruun; Anna Lisa Crowley

Echocardiography is essential for the diagnosis and management of infective endocarditis (IE). However, the reproducibility for the echocardiographic assessment of variables relevant to IE is unknown. Objectives of this study were: (1) To define the reproducibility for IE echocardiographic variables and (2) to describe a methodology for assessing quality in an observational cohort containing site-interpreted data. IE reproducibility was assessed on a subset of echocardiograms from subjects enrolled in the International Collaboration on Endocarditis registry. Specific echocardiographic case report forms were used. Intra-observer agreement was assessed from six site readers on ten randomly selected echocardiograms. Inter-observer agreement between sites and an echocardiography core laboratory was assessed on a separate random sample of 110 echocardiograms. Agreement was determined using intraclass correlation (ICC), coverage probability (CP), and limits of agreement for continuous variables and kappa statistics (κweighted) and CP for categorical variables. Intra-observer agreement for LVEF was excellent [ICC = 0.93 ± 0.1 and all pairwise differences for LVEF (CP) were within 10 %]. For IE categorical echocardiographic variables, intra-observer agreement was best for aortic abscess (κweighted = 1.0, CP = 1.0 for all readers). Highest inter-observer agreement for IE categorical echocardiographic variables was obtained for vegetation location (κweighted = 0.95; 95 % CI 0.92–0.99) and lowest agreement was found for vegetation mobility (κweighted = 0.69; 95 % CI 0.62–0.86). Moderate to excellent intra- and inter-observer agreement is observed for echocardiographic variables in the diagnostic assessment of IE. A pragmatic approach for determining echocardiographic data reproducibility in a large, multicentre, site interpreted observational cohort is feasible.


Archive | 2015

Multimodal Medical Image Fusion in Cardiovascular Applications

Christine Pohl; Nor Nisha Nadhira Nazirun; Nur’Aqilah Hamzah; Syahidah Tamin

Recent publications in the field of medical image fusion point out the value of multi-modality in diagnosis, pre-surgical planning and surgical intervention. The integration of multiple data sources including medical images from different devices or sensors strongly increases reliability and information content. Successfully fused multi-modal data should not contain any artefacts, not remove any relevant information from the original data and minimize redundancy. Image and data fusion aims at providing supplementary clinical information that is not apparent in the individual images alone. Image and data fusion finds many different applications in the fields of remote sensing, military, biometrics, machine vision and medical imaging. The scientific community has established three levels of fusion rules, namely pixel, feature and decision level. Depending on the application, processing technique or available data each level has its importance and proven significance in medical data processing. Each level provides a set of rules that can be applied. The selection of the fusion operator has a strong impact on the quality of the result. It becomes apparent that the selection of level and technique must vary according to the information that needs to be extracted for a certain application. Each technique has its advantages and disadvantages which have to be carefully evaluated. Based on the availability of multimodal devices, such as ultrasound (US), magnetic resonance imaging (MRI) and computed tomography (CT), different images and data of the same object are obtained. The multiple images, the variety of fusion levels and rules lead to an uncountable number of possible combinations. This makes it very difficult for the user to select the most beneficial solution without losing valuable time and resources. Recent research results show great potential is the development of holistic systems that allow the application of different levels in order to take advantage of the value of each individual processing step to optimize the resulting information. This chapter explains the state of the art in cardiovascular medical image fusion. Multimodal image exploitation in the context of cardiovascular plaque detection is selected as application to illustrate the great potential of a multimodal approach comprising diagnosis as well as pre-surgical planning and the intra-operative process.


Circulation-cardiovascular Imaging | 2015

Echocardiographic Findings Predict In-Hospital and 1-Year Mortality in Left-Sided Native Valve Staphylococcus aureus EndocarditisCLINICAL PERSPECTIVE

Trine K. Lauridsen; Lawrence P. Park; Steven Y. C. Tong; Christine Selton-Suty; Gail E. Peterson; Enrico Cecchi; Luis Afonso; Gilbert Habib; Syahidah Tamin; Stuart Dickerman; Arnold S. Bayer; Magnus Johansson; Vivian H. Chu; Zainab Samad; Niels Eske Bruun; Vance G. Fowler; Anna Lisa Crowley

Background— Staphylococcus aureus left-sided native valve infective endocarditis (LNVIE) has higher complication and mortality rates compared with endocarditis from other pathogens. Whether echocardiographic variables can predict prognosis in S aureus LNVIE is unknown. Methods and Results— Consecutive patients with LNVIE, enrolled between January 2000 and September 2006, in the International Collaboration on Endocarditis were identified. Subjects without S aureus IE were matched to those with S aureus IE by the propensity of having S aureus . Survival differences were determined using log-rank significance tests. Independent echocardiographic predictors of mortality were identified using Cox-proportional hazards models that included inverse probability of treatment weighting and surgery as a time-dependent covariate. Of 727 subjects with LNVIE and 1-year follow-up, 202 had S aureus IE. One-year survival rates were significantly lower for patients with S aureus IE overall (57% S aureus IE versus 80% non- S aureus IE; P <0.001) and in the propensity-matched cohort (59% S aureus IE versus 68% non- S aureus IE; P <0.05). Intracardiac abscess (hazard ratio, 2.93; 95% confidence interval, 1.52–5.40; P <0.001) and left ventricular ejection fraction <40% (odds ratio, 3.01; 95% confidence interval, 1.35–6.04; P =0.004) were the only independent echocardiographic predictors of in-hospital mortality in S aureus LNVIE. Valve perforation (hazard ratio, 2.16; 95% confidence interval, 1.21–3.68; P =0.006) and intracardiac abscess (hazard ratio, 2.25; 95% confidence interval, 1.26–3.78; P =0.004) were the only independent predictors of 1-year mortality. Conclusions— S aureus is an independent predictor of 1-year mortality in subjects with LNVIE. In S aureus LNVIE, intracardiac abscess and left ventricular ejection fraction <40% independently predicted in-hospital mortality and intracardiac abscess and valve perforation independently predicted 1-year mortality.Background—Staphylococcus aureus left-sided native valve infective endocarditis (LNVIE) has higher complication and mortality rates compared with endocarditis from other pathogens. Whether echocardiographic variables can predict prognosis in S aureus LNVIE is unknown. Methods and Results—Consecutive patients with LNVIE, enrolled between January 2000 and September 2006, in the International Collaboration on Endocarditis were identified. Subjects without S aureus IE were matched to those with S aureus IE by the propensity of having S aureus. Survival differences were determined using log-rank significance tests. Independent echocardiographic predictors of mortality were identified using Cox-proportional hazards models that included inverse probability of treatment weighting and surgery as a time-dependent covariate. Of 727 subjects with LNVIE and 1-year follow-up, 202 had S aureus IE. One-year survival rates were significantly lower for patients with S aureus IE overall (57% S aureus IE versus 80% non-S aureus IE; P<0.001) and in the propensity-matched cohort (59% S aureus IE versus 68% non-S aureus IE; P<0.05). Intracardiac abscess (hazard ratio, 2.93; 95% confidence interval, 1.52–5.40; P<0.001) and left ventricular ejection fraction <40% (odds ratio, 3.01; 95% confidence interval, 1.35–6.04; P=0.004) were the only independent echocardiographic predictors of in-hospital mortality in S aureus LNVIE. Valve perforation (hazard ratio, 2.16; 95% confidence interval, 1.21–3.68; P=0.006) and intracardiac abscess (hazard ratio, 2.25; 95% confidence interval, 1.26–3.78; P=0.004) were the only independent predictors of 1-year mortality. Conclusions—S aureus is an independent predictor of 1-year mortality in subjects with LNVIE. In S aureus LNVIE, intracardiac abscess and left ventricular ejection fraction <40% independently predicted in-hospital mortality and intracardiac abscess and valve perforation independently predicted 1-year mortality.


ieee conference on biomedical engineering and sciences | 2014

Interdisciplinary approach to multimodal image fusion for vulnerable plaque detection

Christine Pohl; Rosli Mohd Ali; Sanjiv Joshi Hari Chand; Syahidah Tamin; Al Fazir Omar; Nur'Aqilah Hamzah; Nor Nisha Nadhira Nazirun; Eko Supriyanto

In diagnosis, planning, intervention and monitoring of the potentially fatal Coronary Artery Disease multimodal medical imaging plays an important role. Medical cardiac images of patients suffering from Atherosclerosis exhibit information on cardiovascular plaque that can cause a sudden death due to its vulnerability. The identification of vulnerable plaque is an important research field and can be supported by the use of multimodal image fusion combining anatomical as well as functional information in one image medium. Image fusion has proven to enhance critical components of the multimodal data sources that enable improved diagnostics and intervention. The advancement of image fusion techniques and an intelligent selection of multimodal medical image combinations in the context of vulnerable plaque detection require an interdisciplinary approach. This paper reports on the first achievements of a collaborative research project involving clinicians and image processing engineers. During the first stage an interdisciplinary workflow was established. Critical research questions were identified. The second phase will concentrate on image processing to fuse selected multimodalities to obtain images of higher quality which will ease the daily work of the clinicians and reduce invasiveness for the patients.


Journal of the American College of Cardiology | 2014

ECHOCARDIOGRAPHIC FINDINGS PREDICT IN-HOSPITAL AND 1-YEAR MORTALITY IN LEFT-SIDED NATIVE VALVE STAPHYLOCOCCUS AUREUS ENDOCARDITIS: AN ANALYSIS FROM THE INTERNATIONAL COLLABORATION ON ENDOCARDITIS- PROSPECTIVE ECHO COHORT STUDY

Trine K. Lauridsen; Lawrence P. Park; Christine Selton-Suty; Gail E. Peterson; Enrico Cecchi; Luis Afonso; Gilbert Habib; Syahidah Tamin; Stuart Dickerman; Magnus Johanssen; M. Moreno; Vivian H. Chu; Zainab Samad; Niels Eske Bruun; Vance G. Fowler; Anna Lisa Crowley

Staphylococcus aureus is the leading cause of infective endocarditis (IE) in industrialized countries. In fact, S aureus IE increased at a rate of 1.1% per quarter in the United States from 1999 to 2008. This is problematic because S aureus IE is associated with more complications and higher mortality compared with IE due to other pathogens. However, it remains unknown whether this finding persists when S aureus is compared with a non-S aureus cohort with similar baseline characteristics and if echocardiographic variables can identify patients with increased mortality in S aureus IE.


International Journal of Cardiology | 2015

The clinical benefit of cardiac resynchronization therapy for narrow QRS compared to broad QRS complex patients

Lok Bin Yap; Faisal Qadir; Son T.B. Nguyen; Soot K. Ma; Kok Wei Koh; Zulkeflee Muhammad; Akmal H Arshad; Zunida Ali; Azlina Daud; Giat Sing Tay; Noor Asyikin Sahat; Amirzua A. Said; Syahidah Tamin; Azlan Hussin; Surinder Kaur; Razali Omar


Journal of the American College of Cardiology | 2017

ECHOCARDIOGRAPHIC PREDICTORS FOR IN-HOSPITAL AND 1-YEAR OUTCOMES IN LEFT-SIDED INFECTIVE ENDOCARDITIS: AN ANALYSIS FROM THE INTERNATIONAL COLLABORATION ON ENDOCARDITIS-PROSPECTIVE ECHO COHORT STUDY

Trine K. Lauridsen; Lawrence P. Park; Christine Selton-Suty; Gail E. Peterson; Stuart Dickerman; Enrico Cecchi; Gilbert Habib; Magnus Johansson; Stamatios Lerakis; Syahidah Tamin; Franck Thuny; Javier Bermejo; Niels Eske Bruun; Vivian H. Chu; Vance G. Fowler; Andrew Wang; Anna Lisa Crowley

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Gail E. Peterson

University of Texas Southwestern Medical Center

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Trine K. Lauridsen

Copenhagen University Hospital

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