Haloperidol Prophylaxis in Cardiac Surgery for Patients at Risk of Delirium: A Randomized Placebo-controlled Pilot Study

2016 ◽  
Vol 32 (10) ◽  
pp. S315
Author(s):  
I. Travale ◽  
K. Drake
2016 ◽  
Vol 32 (10) ◽  
pp. S231
Author(s):  
I.L. Travale ◽  
K.A. Drake ◽  
P. Power ◽  
J. Schoenberg ◽  
F. Toito ◽  
...  

2011 ◽  
Vol 39 (6) ◽  
pp. 924-930 ◽  
Author(s):  
Alain Vuylsteke ◽  
Christina Pagel ◽  
Caroline Gerrard ◽  
Brian Reddy ◽  
Samer Nashef ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
William T. McBride ◽  
Mary Jo Kurth ◽  
Gavin McLean ◽  
Anna Domanska ◽  
John V. Lamont ◽  
...  

AbstractAcute kidney injury (AKI) following cardiac surgery significantly increases morbidity and mortality risks. Improving existing clinical methods of identifying patients at risk of perioperative AKI may advance management and treatment options. This study investigated whether a combination of biomarkers and clinical factors pre and post cardiac surgery could stratify patients at risk of developing AKI. Patients (n = 401) consecutively scheduled for elective cardiac surgery were prospectively studied. Clinical data was recorded and blood samples were tested for 31 biomarkers. Areas under receiver operating characteristic (AUROCs) were generated for biomarkers pre and postoperatively to stratify patients at risk of AKI. Preoperatively sTNFR1 had the highest predictive ability to identify risk of developing AKI postoperatively (AUROC 0.748). Postoperatively a combination of H-FABP, midkine and sTNFR2 had the highest predictive ability to identify AKI risk (AUROC 0.836). Preoperative clinical risk factors included patient age, body mass index and diabetes. Perioperative factors included cardio pulmonary bypass, cross-clamp and operation times, intra-aortic balloon pump, blood products and resternotomy. Combining biomarker risk score (BRS) with clinical risk score (CRS) enabled pre and postoperative assignment of patients to AKI risk categories. Combining BRS with CRS will allow better management of cardiac patients at risk of developing AKI.


2009 ◽  
Vol 76 (1) ◽  
pp. 138-142 ◽  
Author(s):  
Marta Hauser ◽  
Marion Lautenschlager ◽  
Yehonala Gudlowski ◽  
Seza Özgürdal ◽  
Henning Witthaus ◽  
...  
Keyword(s):  
At Risk ◽  

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Catalina Latorre Uriza ◽  
Juliana Velosa-Porras ◽  
Nelly S. Roa ◽  
Stephani Margarita Quiñones Lara ◽  
Jaime Silva ◽  
...  

Periodontal disease is an infection that, in pregnant women, can act as a risk factor for preterm delivery by increasing local and systemic inflammatory responses. Objective. To analyze the presence of periodontal disease, proinflammatory cytokines, and prostaglandin E2 (PGE2) in pregnant patients at high risk for preterm delivery. Materials and Methods. Pilot study for a case-control study. We included 46 pregnant patients (23 patients at risk of preterm delivery as cases and 23 patients without risk of preterm delivery as controls). We excluded patients who received periodontal treatment, antibiotics, or antimicrobials over the last 3 months as well as those with infections or diseases such as diabetes or hypercholesterolemia. The patients underwent a periodontal assessment, and their levels of cytokines (interleukin- [IL-] 2, IL-6, IL-10, and tumor necrosis factor- [TNF-] α) and prostaglandin E2 (PGE2) were quantified. Results. Patients with periodontal disease showed higher levels of cytokines (IL-2, IL-6, IL-10, and TNF-α) and PGE2. Patients at high risk for preterm birth showed higher IL levels compared with patients at low risk for preterm delivery. PGE2 increased with the severity of periodontal disease. PGE2 was higher in patients at low risk for preterm delivery, although this difference was not significant. Conclusion. Periodontal disease can increase the systemic inflammatory response as well as the levels of PGE2 and inflammatory cytokines in pregnant patients.


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