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The Lund and Browder chart is a tool useful in the management of burns for estimating the total body surface area affected. It was created by Dr. Charles Lund, Senior Surgeon at Boston City Hospital, and Dr. Newton Browder, based on their experiences in treating over 300 burn victims injured at the Cocoanut Grove fire in Boston in 1942.
Original method [ edit ] The original Baux score was the addition of two factors, the first being the total body surface area affected by burning (usually estimated using the Wallace rule of nines , or calculated using a Lund and Browder chart ) and the second being the age of the patient.
For children and infants, the Lund and Browder chart is used to assess the burned body surface area. Different percentages are used because the ratio of the combined surface area of the head and neck to the surface area of the limbs is typically larger in children than that of an adult. [2]
In 1944, Lund and Browder, drawing upon their experiences in treating Cocoanut Grove victims, published the most widely cited paper in modern burn care, "Estimation of the Areas of Burns", in which a diagram for estimating burn size are presented. This diagram, called the Lund and Browder chart, remains in use throughout the world today. [31] [32]
There are a number of methods to determine the TBSA, including the Wallace rule of nines, Lund and Browder chart, and estimations based on a person's palm size. [11] The rule of nines is easy to remember but only accurate in people over 16 years of age. [ 11 ]
The Wallace rule of nines is a tool used in pre-hospital and emergency medicine to estimate the total body surface area (BSA) affected by a burn.In addition to determining burn severity, the measurement of burn surface area is important for estimating patients' fluid requirements and determining hospital admission criteria.
C. Canadian Classification of Health Interventions; Caranna; Case presentation; Casualty movement; Cat massage; Cawthorne-Cooksey exercises; Celadrin (joint cream)
General linear methods (GLMs) are a large class of numerical methods used to obtain numerical solutions to ordinary differential equations. They include multistage Runge–Kutta methods that use intermediate collocation points , as well as linear multistep methods that save a finite time history of the solution.