Material and Method: A prospective and cross-sectional clinical case series study was made. For the measurement of crevicular fluid, use was made of the Periotron (R) 8000 (Proflow Incorporated. New York, USA), measuring the volume in Periotron units (PU). For the detection of periodontopathogenic bacteria we used the IAI-PadoTest 4.5 (IAI Inc., IAI Institute, Zuchwil, Switzerland) – a system for the detection of Tf, Pg,

Td and Aa based on the use of RNA arrays.

Results: We included 34 patients (19 females and 15 males) with a mean age of 56.4 years. Of these subjects, 30.8% were smokers and 69.2% non-smokers. Out of a total series of 213 implants, we analyzed the crevicular fluid and microbiota in 90 implants. A total of 16.5% of the implants Selleckchem NCT-501 presented mucositis, while 83.5% were in healthy peri-implant conditions. The microbiological study revealed the presence of Tf in 17.1% of the implants, Pg in 9.3%, Td in 13.6%, in Aa in none of the implants. The mean Periotron reading was 93.4 PU (range 12-198 PU). A statistically significant (p<0.05)

relationship was observed between PICFV and Selleckchem Wnt inhibitor the total percentage bacteria (Tf, Pg and Td) – with a strong association between the Td levels and smoking (p<0.01). In the implants with mucositis, the concentration of Pg and Td was greater.

Conclusions: In the implants studied, the subgingival peri-implant microbiota was characterized by low levels of Pg, Tf, Td, and none of the patients proved positive for Aa. These bacteria showed a positive correlation to crevicular fluid volume, and a statistically significant relationship was observed between Td and smoking.”
“Introduction: The ventricular fibrillation (VF) waveform is dynamic and predicts defibrillation success. Quantitative waveform Ro-3306 solubility dmso measures (QWMs) quantify these changes. Coronary perfusion pressure (CPP), a surrogate

for myocardial perfusion, also predicts defibrillation success. The relationship between QWM and CPP has been preliminarily explored. We sought to further delineate this relationship in our porcine model and to determine if it is different between animals with/without ROSC (return of spontaneous circulation).

Hypothesis: A relationship exists between QWM and CPP that is different between animals with/without ROSC.

Methods: Utilizing a prior experiment in our porcine model of prolonged out-of-hospital VF cardiac arrest, we calculated mean CPP, cumulative dose CPP, and percent recovery of three QWM during resuscitation before the first defibrillation: amplitude spectrum area (AMSA), median slope (MS), and logarithm of the absolute correlations (LAC).