Safety and Efficacy of a Non-Invasive 1060 nm Diode Laser for Fat Reduction of the Abdomen.

BACKGROUND: Changes in temperature are known to produce apoptosis in adipocytes. This study examines the use of a non-invasive treatment that applies 1060 nm laser energy transcutaneously to hyperthermically induce disruption of fat cells in the abdomen. METHODS: Thirty-five subjects received application of 1060 nm laser on the abdomen for fat reduction. Ultrasound images and high-resolution two-dimensional photography were recorded at baseline, 6 weeks, and 12 weeks post treatment. Subjects maintained a stable diet and exercise routine throughout the course of the study. Weight was recorded at baseline and each follow-up visit. Three board certified dermatologists were trained as blinded evaluators and tasked with identifying before and after photographs from randomized, paired baseline, and 12-week photographs. Ultrasound images were used to measure the fat thickness change from baseline at 6 and 12 weeks. Level of patient satisfaction was graded at 12 weeks using a 6 point Likert scale. REULTS: 23% of subjects were Fitzpatrick IV-VI. Blinded evaluators correctly identified the post-treatment photograph 95% of the time (88%, 97%, and 100%). Mean reduction in fat layer thickness from baseline was statistically significant (P less than 0.001) at both 6 weeks (1.5 +/-1.23 mm) and 12 weeks (2.65 +/-1.41 mm). Mean weight change was +0.1 lb. Side effects were mild to moderate including edema, tenderness, and induration mostly resolving within 1-3 weeks post treatment. No serious adverse events were reported. CONCLUSION: 1060 nm based laser treatment can consistently reduce the fat contour in the abdomen with an excellent safety profile in all skin types. The study met all three of its prospectively defined endpoints of success.

J Drugs Dermatol. 2018;17(1):106-112.

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A multi-sensor monitoring system of human physiology and daily activities.

OBJECTIVE: To present the design and pilot test results of a continuous multi-sensor monitoring system of real-world physiological conditions and daily life (activities, travel, exercise, and food consumption), culminating in a Web-based graphical decision-support interface. MATERIALS AND METHODS: The system includes a set of wearable sensors wirelessly connected to a "smartphone" with a continuously running software application that compresses and transmits the data to a central server. Sensors include a Global Positioning System (GPS) receiver, electrocardiogram (ECG), three-axis accelerometer, and continuous blood glucose monitor. A food/medicine diary and prompted recall activity diary were also used. The pilot test involved 40 type 2 diabetic patients monitored over a 72-h period. RESULTS: All but three subjects were successfully monitored for the full study period. Smartphones proved to be an effective hub for managing multiple streams of data but required attention to data compression and battery consumption issues. ECG, accelerometer, and blood glucose devices performed adequately as long as subjects wore them. GPS tracking for a full day was feasible, although significant efforts are needed to impute missing data. Activity detection algorithms were successful in identifying activities and trip modes but could benefit by incorporating accelerometer data. The prompted recall diary was an effective tool for augmenting algorithm results, although subjects reported some difficulties with it. The food and medicine diary was completed fully, although end times and medicine dosages were occasionally missing. CONCLUSIONS: The unique combination of sensors holds promise for increasing accuracy and reducing burden associated with collecting individual-level activity and physiological data under real-world conditions, but significant data processing issues remain. Such data will provide new opportunities to explore the impacts of human geography and daily lifestyle on health at a fine spatial/temporal scale.

The role of laser tunnels in laser-assisted lipolysis.

BACKGROUND AND OBJECTIVES: Laser-assisted lipolysis (LAL) devices are used as adjuncts to liposuction that create laser tunnels to heat the adipose and connective tissue. Available systems vary significantly across choice of wavelengths, power delivery, and tip design. Rationale are developed for optimum laser parameters evaluated with physical principles and in controlled ex vivo tests. STUDY DESIGN/MATERIALS AND METHODS: A computer model for radiation propagation, thermal conduction and coagulation was developed to study laser tunnels formed in human adipose tissue. An ex vivo study with porcine tissue compared laser tunnels created by a device that operates in short-pulse mode with a 0.6 mm diameter fiber emitting lipid non-selective laser wavelengths to a device that operates in continuous-wave (CW) mode with a 1.5 mm diameter fiber emitting lipid- and water-selective laser wavelengths. RESULTS: Photothermolytic heating is the optimum mechanism to control delivery of heat to the tissue. Fiber tip surface power density can be optimized for ease of penetration and good volumetric heating while avoiding extremely high peak temperatures. CW rather than pulsed laser emission also minimizes peak temperature rise that can interfere with tunnel formation. Lipid- or water-selective laser wavelengths with low absorption yield lower peak temperatures and more uniform volume heating, while lipid-selective wavelengths offer greater safety near the dermis. Ex vivo histology demonstrated greater volumetric heating with the CW, lipid-selective device at similar power settings. CONCLUSION: Wavelength, power delivery, and tip design are based on physical principles and together with treatment technique laser tunnel dimensions can be optimized as confirmed in ex vivo histology. The resulting thermal zones provide ease of penetration through adipose tissue and enable treatment uniformity. Based upon principles of fractional skin treatment the thermal zones induce healing responses in adipose tissue with potential to enhance clinical efficacy.

Time-series analysis of continuously monitored blood glucose: the impacts of geographic and daily lifestyle factors.

Type 2 diabetes is known to be associated with environmental, behavioral, and lifestyle factors. However, the actual impacts of these factors on blood glucose (BG) variation throughout the day have remained relatively unexplored. Continuous blood glucose monitors combined with human activity tracking technologies afford new opportunities for exploration in a naturalistic setting. Data from a study of 40 patients with diabetes is utilized in this paper, including continuously monitored BG, food/medicine intake, and patient activity/location tracked using global positioning systems over a 4-day period. Standard linear regression and more disaggregated time-series analysis using autoregressive integrated moving average (ARIMA) are used to explore patient BG variation throughout the day and over space. The ARIMA models revealed a wide variety of BG correlating factors related to specific activity types, locations (especially those far from home), and travel modes, although the impacts were highly personal. Traditional variables related to food intake and medications were less often significant. Overall, the time-series analysis revealed considerable patient-by-patient variation in the effects of geographic and daily lifestyle factors. We would suggest that maps of BG spatial variation or an interactive messaging system could provide new tools to engage patients and highlight potential risk factors.

Tracking human activity and well-being in natural environments using wearable sensors and experience sampling.

A growing range of studies have begun to document the health and well-being benefits associated with contact with nature. Most studies rely on generalized self-reports following engagement in the natural environment. The actual in-situ experience during contact with nature, and the environmental features and factors that evoke health benefits have remained relatively unexplored. Smartphones offer a new opportunity to monitor and interact with human subjects during everyday life using techniques such as Experience Sampling Methods (ESM) that involve repeated self-reports of experiences as they occur in-situ. Additionally, embedded sensors in smartphones such as Global Positioning Systems (GPS) and accelerometers can accurately trace human activities. This paper explores how these techniques can be combined to comprehensively explore the perceived health and well-being impacts of contact with nature. Custom software was developed to passively track GPS and accelerometer data, and actively prompt subjects to complete an ESM survey at regular intervals throughout their visit to a provincial park in Ontario, Canada. The ESM survey includes nine scale questions concerning moods and emotions, followed by a series of open-ended experiential questions that subjects provide recorded audio responses to. Pilot test results are used to illustrate the nature, quantity and quality of data obtained. Participant activities were clearly evident from GPS maps, including especially walking, cycling and sedate activities. From the ESM surveys, participants reported an average of 25 words per question, taking an average of 15 s to record them. Further qualitative analysis revealed that participants were willing to provide considerable insights into their experiences and perceived health impacts. The combination of passive and interactive techniques is sure to make larger studies of this type more affordable and less burdensome in the future, further enhancing the ability to understand how contact with nature enhances health and well-being.

Exploring blood glucose variation over geographical space.

BACKGROUND: Type 2 diabetes mellitus is known to be associated with environmental, behavioral, and lifestyle factors such as a sedentary lifestyle, overly rich nutrition, and obesity. However, the day-to-day human-environment interactions and real-life activities that cause an individual's blood glucose to fluctuate remain relatively unexplored, owing in part to data collection challenges. This article presents a novel data collection system that overcomes these challenges and allows exploration of the spatial correlates of blood glucose fluctuation. METHODS: An automated monitoring system was developed combining a Global Positioning System (GPS) receiver with a continuous blood glucose monitor. The GPS was used to elicit a second-by-second accounting of an individual's daily activities alongside blood glucose measurement every 5 min. A pilot study of 40 diabetes patients was conducted over a 72-h period. Geographic Information System software was used to generate blood glucose maps, incorporating methods to deal with scale issues, overlapping data, and to protect subject identity. RESULTS: Individual blood glucose variation maps revealed a variety of distinct patterns. Most subjects had at least two major anchor points in their life combined with a variety of other activity locations at varying distances from home, many associated with quite distinct low or high blood glucose values. Further statistical analysis revealed location and distance from home were significantly correlated with blood glucose variation-although the strength and direction of the effect was quite mixed. CONCLUSIONS: Results suggests that blood glucose and space/location are highly correlated and should be considered further as a lifestyle-related risk factor for diabetes patients. In the future, patients and caregivers may benefit from individualized visualization tools that help identify problematic locations that require special attention.