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Aim: To evaluate the relative antimicrobial efficacy of five different commonly used antimicrobial agents with regard to reduction in the number of Enterococcus faecalis and Escherichia coli as compared to normal saline. An agar disk diffusion in vitro method was used to test the efficacy of the root canal irrigants against these two microorganisms. The root canal irrigants used were: 5.25% sodium hypochlorite (NaOCl), 10% citric acid, 17% ethylene diamine tetraacetic acid (EDTA), 3% hydrogen peroxide (H2O2), 0.2% cetrimide and normal saline (as control).Materials and methods: The sample size consisted of 120 agar plates, divided into two groups: groups I and II. Group I consisted of 60 blood agar plates for assessment of E. faecalis and group II consisted of 60 MacConkey agar plates for assessment of E. coli. On each agar plate, 6 circular cellulose nitrate paper disks were placed, on which the inoculum of the respective microorganism was poured with a micropipette. After incubation, these paper disks were removed and put in test tubes containing the particular root canal irrigants, and were vortexed for 60 seconds.The microbial count was then assessed using a microbial colony counter.Results: Results showed that in the group I (E. faecalis), maximum reduction was achieved with cetrimide, followed by NaOCl, H2O2, citric acid and then EDTA. In group II (E. coli), maximum reduction was achieved with NaOCl, followed by cetrimide, H2O2, citric acid and then EDTA.How to cite this article: Kaushik N, Rehani U, Agarwal A, Kaushik M, Adlakha V. Antimicrobial Efficacy of Endodontic Irrigants against Enterococcus Faecalis and Escherichia Coli: An in vitro study. Int J Clin Pediatr Dent 2013;6(2):178-182.

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IoT plays an important role in the healthcare domain for improving the quality of patient care. To analyze the patients' healthcare data, a real-time health-monitoring system is required. The proposed framework in this work is cable of such monitoring and sending alerts on critical circumstances. In this framework, the use of IoT devices makes it possible. This is very helpful in taking care of especially old wards and children in the absence or their caretakers. The function of alerting the caretakers and to inform hospital in critical condition makes this system one of its kind. Readings of patient pulse rates are taken from the pulse rate sensor and the body temperature is measured by MAX30205, a temperature sensor. The data is collected through sensors and sent over the cloud servers. Linear regression is used for further analysis and prediction of pulse and temperature trend lines. Corresponding health repots will be sent to the nearby hospitals and registered mobile numbers. The framework is validated with real-time patient data, and prediction is made regarding the trends.

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