Body Physiological Status Research Articles

Validating the surgical indication value of the LTB-S classification system for drug resistant tuberculosis

BackgroundCurrently there is no guideline based on preoperative clinical parameters for assessing the prognosis of the adjunctive surgery for drug-resistant tuberculosis. MethodsWe retrospectively analyzed 138 patients who had undergone surgical resection as a treatment for drug- resistant tuberculosis after 24 months. Four clinical parameters on lesion type, treatment history, body physiological status, and surgery approach were evaluated. Categorical preoperative clinical parameters were analyzed by ordinal logistic regression model when considering postoperative complications as outcomes ordered in terms of severity. Statistically significant parameters were then combined in a single classification system for predicting the outcomes of the adjunctive surgery. FindingsDiffused, progressive bilateral lesions, or active/progressive extra pulmonary tuberculosis (L3), and history of less than 2 months treatment before surgery (T3) were the strongest predicative parameters for postoperative complications and for surgery failure. Classification systems based on the four parameters were found to have a statistically significant effect on postoperative complications and postoperative efficacy. 24- month follow up indicated a high cure rate (above 95.5%) among patients without T3, L3, or severe physiological complications (B3). InterpretationA classification system based on objective clinical parameters showed predicative value for the prognosis of the adjunctive surgery and could guide management of drug-resistant Tuberculosis.

SALIVA AS A POTENTIAL DIAGNOSTIC OF BIOMARKER OF ORAL AND SYSTEMIC DISEASES

Saliva is a biological fluid that is secreted by the major, minor and other accessories salivary glands. Saliva has a high potential as an indicator that reflects the health of our body. Saliva also plays an important role as a protector, lubricate oral structure with mucin, set a neutral pH through the buffer capacity, clean the oral cavity, stimulate wound healing, help the taste buds in the taste of food, facilitate the process of chewing food, form a bolus and make it easier swallowing, and minimize food particles through the activity of the enzyme amylase and lipase. The use of saliva as a biomarker in diagnosing provide more advantages than the serum and other body fluids due to using non-invasive techniques, cost-efficient, as well as methods for collecting samples for disease screening without the need to train professional personnel. The benefits derived from the saliva as a biomarker are early detection and screening of disease to the development of caries, periodontal disease, tumors and malignancy, hereditary, wound healing, autoimmune disease, infectious diseases, cardiovascular diseases, drug monitoring, forensic, and the psychological influence. At this time, the function of saliva as a diagnostic biomarker is not widely known, therefore the development of salivary further enhance because it can produce functional similarities with serum and reflect the body's physiological status in the oral cavity and systemic disease.

Microfluidic Nonwoven-Based Device as a Potential Biosensor for Sweat Analysis

Monitoring body fluids such as sweat composition can provide useful information about the physiological status. Physiological monitoring of body fluids such as sweat with a textile-based system has the advantage of being non-invasive and easily accessible and such monitoring is beneficial to indicate information about body's physiological status. In the present study, it is aimed to design a textile-based system with non-invasive methods which can be used to monitor a sportsman's performance. A novel, disposable and wearable biochemical analytical device was designed and fabricated by patterning micro channels and reservoirs using SU-8 photoresist through photolithography technique on an absorbant bicomponent Evolon® nonwoven substrate. It was obtained that hydrophilic reservoirs were well defined and demarcated by hydrophobic barriers. Therefore, no liquid leakage was observed around the reservoirs which was crucial for achieving a proper enzyme immobilization and the successful detection of the color change after the simulated sweat was deposited on the hydrophilic reservoir areas. Analyte optimization studies revealed that color change became more evident with the increasing analyte concentration until 20 mM and started to decrease with further increase due to analyte inhibition. Also, on textile fabrics, color densities started to decrease after 40 mM analyte concentration.