Early vs late cardiac surgery in patients with native valve endocarditis—United States Nationwide Inpatient database

2020 ◽  
Vol 35 (10) ◽  
pp. 2611-2617
Author(s):  
Omar Kousa ◽  
Ryan W. Walters ◽  
Mohammed Saleh ◽  
Dana Awad ◽  
Abdallah Qasim ◽  
...  
2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Daisy Torres-Miranda ◽  
Madhi Moshgriz ◽  
Marc Siegel

Streptobacillus moniliformis, the cause of rat-bite fever (RBF) in the United States, has rarely been reported as a cause of infectious endocarditis. In the majority of previously reported cases, the diagnosis was clinically based in patients with underlying valvular abnormalities in the setting of positive blood culture for Streptobacillus moniliformis. We report a case of native valve endocarditis secondary to Streptobacillus moniliformis in a woman with a mitral valve vegetation but negative blood cultures where the diagnosis was established using molecular diagnostics on the valvular tissue.


2013 ◽  
Vol 61 (S 01) ◽  
Author(s):  
M Wilbring ◽  
SM Tugtekin ◽  
K Matschke

2020 ◽  
Vol 21 (12) ◽  
pp. 1140-1153 ◽  
Author(s):  
Mohammad A. Noshak ◽  
Mohammad A. Rezaee ◽  
Alka Hasani ◽  
Mehdi Mirzaii

Coagulase-negative staphylococci (CoNS) are part of the microbiota of human skin and rarely linked with soft tissue infections. In recent years, CoNS species considered as one of the major nosocomial pathogens and can cause several infections such as catheter-acquired sepsis, skin infection, urinary tract infection, endophthalmitis, central nervous system shunt infection, surgical site infections, and foreign body infection. These microorganisms have a significant impact on human life and health and, as typical opportunists, cause peritonitis in individuals undergoing peritoneal dialysis. Moreover, it is revealed that these potential pathogens are mainly related to the use of indwelling or implanted in a foreign body and cause infective endocarditis (both native valve endocarditis and prosthetic valve endocarditis) in patients. In general, approximately eight percent of all cases of native valve endocarditis is associated with CoNS species, and these organisms cause death in 25% of all native valve endocarditis cases. Moreover, it is revealed that methicillin-resistant CoNS species cause 60 % of all prosthetic valve endocarditis cases. In this review, we describe the role of the CoNS species in infective endocarditis, and we explicated the reported cases of CoNS infective endocarditis in the literature from 2000 to 2020 to determine the role of CoNS in the process of infective endocarditis.


2016 ◽  
Vol 72 ◽  
pp. S84-S86 ◽  
Author(s):  
Mugunthan M ◽  
Sharad Bhalla ◽  
Vishal Shete ◽  
Naveen Grover

2021 ◽  
pp. 088506662110668
Author(s):  
Asha Singh ◽  
Chen Liang ◽  
Stephanie L. Mick ◽  
Chiedozie Udeh

Background The Cardiac Surgery Score (CASUS) was developed to assist in predicting post-cardiac surgery mortality using parameters measured in the intensive care unit. It is calculated by assigning points to ten physiologic variables and adding them to obtain a score (additive CASUS), or by logistic regression to weight the variables and estimate the probability of mortality (logistic CASUS). Both additive and logistic CASUS have been externally validated elsewhere, but not yet in the United States of America (USA). This study aims to validate CASUS in a quaternary hospital in the USA and compare the predictive performance of additive to logistic CASUS in this setting. Methods Additive and logistic CASUS (postoperative days 1-5) were calculated for 7098 patients at Cleveland Clinic from January 2015 to February 2017. 30-day mortality data were abstracted from institutional records and the Death Registries for Ohio State and the Centers for Disease Control. Given a low event rate, model discrimination was assessed by area under the curve (AUROC), partial AUROC (pAUC), and average precision (AP). Calibration was assessed by curves and quantified using Harrell's Emax, and Integrated Calibration Index (ICI). Results 30-day mortality rate was 1.37%. For additive CASUS, odds ratio for mortality was 1.41 (1.35-1.46, P <0.001). Additive and logistic CASUS had comparable pAUC and AUROC (all >0.83). However, additive CASUS had greater AP, especially on postoperative day 1 (0.22 vs. 0.11). Additive CASUS had better calibration curves, and lower Emax, and ICI on all days. Conclusions Additive and logistic CASUS discriminated well for postoperative 30-day mortality in our quaternary center in the USA, however logistic CASUS under-predicted mortality in our cohort. Given its ease of calculation, and better predictive accuracy, additive CASUS may be the preferred model for postoperative use. Validation in more typical cardiac surgery centers in the USA is recommended.


2020 ◽  
pp. 397-404
Author(s):  
Kareem Bedeir ◽  
Basel Ramlawi

2017 ◽  
Vol 24 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Shintaro Minegishi ◽  
Yasuyuki Mochida ◽  
Shuta Furihata ◽  
Shinya Ichikawa ◽  
Masahiro Fukuoka ◽  
...  

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