Obesity is a global epidemic, often considered an impending disaster for the world’s population. Healthcare organizations and professionals repeatedly emphasize the negative impacts on obesity in the development of cardiovascular diseases, hypertension and diabetes. The continuous monitoring of physiological parameters; namely SpO2, blood pressure, body temperature and pulse rate are imperative for obese adult patients. IoT is a dynamic field, used extensively in all fields: agriculture, automobile, manufacturing and retail industry primarily for automated remote real-time monitoring. This paper focuses on the implementation of IoT in the healthcare industry for monitoring and evaluating health conditions of obese adults, along with emphasis on the importance of medical data storage. Furthermore, a device is developed with a novel design and system, which not only allows real-time monitoring but also the storage of medical records for multiple patients simultaneously. The device facilitates measurements of these parameters using an Arduino environment and then transmits the data onto an IoT dashboard using a Wi-fi module for remote monitoring for healthcare professionals. The main aim is to provide a suitable device recommended by doctors for patients suffering from obesity, such that doctors can examine patient’s health trends over a period from the stored data for monitoring any changes that could be a symptom of an underlying unnoticed health condition.

The objective of this study was to calculate the incidence, severity, and risk factors for acute kidney injury (AKI) in a tertiary care pediatric intensive care unit (PICU). Also, to assess the impact of AKI and its varying severity on mortality and length of hospital and PICU stays. A prospective observational study was performed in children between 1 month and 12 years of age admitted to the PICU between July 1, 2013, and July 31, 2014 (13 months). The change in creatinine clearance was considered to diagnose and stage AKI according to pediatric risk, injury, failure, loss, and end-stage renal disease criteria. The risk factors for AKI and its impact on PICU stay, hospital stay, and mortality were evaluated. Of the total 220 patients enrolled in the study, 161 (73.2%) developed AKI, and 59 cases without AKI served as the “no AKI” (control) group. Majority (57.1%) of children with AKI had Failure grade of AKI, whereas 26.1% had Risk grade and 16.8% had Injury grade of AKI. Infancy (p = 0.000), hypovolemia (p = 0.005), shock (p = 0.008), and sepsis (p = 0.022) were found to be significant risk factors for AKI. Mortality, PICU stay, and hospital stay were comparable in children with and without AKI as well as between the various grades of renal injury (i.e., Failure, Risk, and Injury). An exceedingly high incidence of AKI, especially of the severe Failure grade was observed in critically ill children. Infancy and frequent PICU occurrences such as sepsis, hypovolemia, and shock predisposed to AKI.

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There is a high prevalence of sleep-related breathing disorders in the form of obstructive and central sleep apnea as well as spontaneous oxygen desaturation in children with Prader–Willi syndrome (PWS). Most cases are asymptomatic and if untreated go on to develop unfavorable neurodevelopmental, cardiovascular, and cerebrovascular outcomes. Hence, sleep study or polysomnography (PSG) is recommended in all children at the time of diagnosis as well as with the development of certain risk factors including symptoms of sleep apnea, before and after initiation of recombinant growth hormone (rGH) therapy. The use of rGH in children with PWS has been shown to improve central sleep apnea but also shown to be associated with worsening of OSA. PSG is ideally performed in a sleep laboratory. Various types of PSG devices are available depending on the biological parameters that are desired to be monitored. Sleep disorders in children are distinct from those seen in adults and have different diagnostic scoring criteria necessitating a trained pediatric sleep specialist to analyze the PSG recording. Through the clinical case vignette of a 14-year-old girl with PWS, severe obesity, and sleep disordered breathing, this review aims to highlight the need, timing, types, analysis, and interpretation of sleep studies in infants and older children with PWS, particularly in relation to rGH therapy. There is a paucity of literature on sleep studies in children with PWS in the local setting. Thus this review also suggests the need for adapting the existing Western guidelines for PSG in Indian children with PWS.

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