Comparative study of risk indicators associated with tooth loss among adult population in urban and rural areas of Muradnagar, Ghaziabad, Uttar Pradesh, India

Background: Oral health objectives prescribed by World Health Organization for the year 2020 have expressed that there ought to be an expansion in the quantity of people with functional dentitions (at least 21 common teeth) at ages of 35–44 and 65–74 years. Aim: The aim of this study is to examine the prevalence of tooth loss and to evaluate and compare the risk indicators associated with tooth loss among adult population in urban and rural areas of Muradnagar, Ghaziabad. Materials and Methods: A cross-sectional study was led among 1200 adults aged 35–74 years in urban and rural areas of Muradnagar, India. Information was assembled by an interview followed by clinical examination (number of missing teeth). Demographic and socioeconomic factors and self-perceived oral health were the independent variables assessed. One-way analysis of variance, post-hoc test (Bonferroni), Chi-square test, Student's t-test, and logistic regression analysis were used for statistical analysis. Results: Low educational status, no dental check-ups, low frequency of brushing, older age, and smoking habit were independent risk factors for tooth loss. The odds of tooth loss in older adults and illiterates were higher; the odds for tooth loss among those who expressed their desire for replacement of missing teeth were 1.3 times lower than their counterparts. Conclusion: The experiences gained up showed that tooth loss was very pervasive in Muradnagar populace and the critical hazard indicators identified were age, education, socioeconomic status, and cigarette smoking

Early and rapid detection of UCHL1 in the serum of brain-trauma patients: a novel gold nanoparticle-based method for diagnosing the severity of brain injury

The clinical diagnosis of traumatic brain injury (TBI) is based on neurological examination and neuro-imaging tools such as CT scanning and MRI. However, neurological examination at times may be confounded by consumption of alcohol or drugs and neuroimaging facilities may not be available at all centers. Human ubiquitin C-terminal hydrolase (UCHL1) is a well-accepted serum biomarker for severe TBI and can be used to detect the severity of a head injury. A reliable, rapid, cost effective, bedside and easy to perform method for the detection of UCHL1 is a pre-requisite for wide clinical applications of UCHL1 as a TBI biomarker. We developed a rapid detection method for UCHL1 using surface plasmon resonance of gold nanoparticles with a limit of detection (LOD) of 0.5 ng mL−1. It has a sensitivity and specificity of 100% each and meets an analytical precision similar to that of conventional sandwich ELISA but can be performed rapidly. Using this method we successfully detected UCHL1 in a cohort of 66 patients with TBI and were reliably able to distinguish mild TBI from moderate to severe TBI