Neuro 02

نویسندگان

  • Vera Lúcia Jornada Krebs
  • Thelma Suely Okay
  • Flávio Adolfo Costa Vaz
چکیده

Objective: To analyze the usefulness of determining the cerebrospinal fluid(CSF) levels of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β) and interleukin-6(IL-6)for the early diagnosis and evaluation of the prognosis of neonatal meningitis. Method: We studied 54 newborn that underwent lumbar puncture.Thirty patients had meningitis and 24 were the control group.CSF and sera were obtained at the moment of suspicion of meningitis and stored at -700C.Cytokines were performed by enzyme-linked immunosorbent assay method. Results: CSF cytokines were detected in all the newborn with meningitis.TNF-α was detected in the CSF in 63.3% of the neonates, IL-1β in 73.3% and IL-6 in 96.6%.The CSF levels were significantly higher than serum in neonates with meningitis.There was no correlation between the CSF levels of cytokines and neurologic complications. Conclusion: The detection of TNF-α, IL-1β and IL-6 in the CSF is of great value in order to achieve a early diagnosis of neonatal meningitis.Among the three cytokines analyzed, IL-6 was the best indicator of meningeal inflammation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Intelligent control of aircraft dynamic systems with a new hybrid neuro-fuzzy-fractal approach

We describe in this chapter a hybrid method for adaptive model-based control of nonlinear dynamic systems using Neural Networks, Fuzzy Logic, and Fractal Theory. The new neuro-fuzzy-fractal method combines Soft Computing (SC) techniques with the concept of the fractal dimension for the domain of Nonlinear Dynamic System Control. The new method for adaptive model-based control has been implement...

متن کامل

Fuzzy data analysis with NEFCLASS

Fuzzy data analysis as we interpret it in this paper is the application of fuzzy systems to the analysis of crisp data. In this area, neuro-fuzzy systems play a very prominent role and are applied to a variety of data analysis problems like classification, function approximation or time series prediction. Fuzzy data analysis in general and neuro-fuzzy methods in particular make it easy to strik...

متن کامل

Good obstetric outcome in a patient with Segawa disease.

Department of Obstetrics and Gynecology, Jichi Medical University, Tochigi, Japan. Correspondence: Shigeki Matsubara; Department of Obstetrics and Gynecology, Jichi Medical University; 3311-1 Yakushiji, Shimotsuke, Tochigi; 329-0498 Japan; E-mail: [email protected] Conflict of interest: There is no conflict of interest to declare. Received 23 January 2012; Received in final form 02 February ...

متن کامل

Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems

An approach to dealing with missing data, both during the design and normal operation of a neuro-fuzzy classifier is presented in this paper. Missing values are processed within a general fuzzy min–max neural network architecture utilising hyperbox fuzzy sets as input data cluster prototypes. An emphasis is put on ways of quantifying the uncertainty which missing data might have caused. This ta...

متن کامل

Optimization of TQFP molding process using neuro-fuzzy-GA approach

This paper focuses on an integrated optimization problem that involves multiple qualitative and quantitative responses in the thin quad flat pack (TQFP) molding process. A fuzzy quality loss function (FQLF) is first applied to the qualitative responses, since the molding defects cannot be simply represented by the relationship between molding conditions and mathematical models. Neural network i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005