The journal of trauma and acute care surgery · 2012
Objective estimates of the probability of death in acute burn injury: a proposed Taiwan burn score.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Chen Chen-Chien, Chen Li-Ching, Wen Bor-Shyh, Liu Shih-Hao, Ma Hsu
Аннотация
BACKGROUND: This study aimed to develop an objective model for predicting mortality after burn injury in Taiwan.
METHODS: From 1997 to 2010, 23,147 patients with acute burn injury in 44 hospitals were retrospectively reviewed. Variables examined were age, sex, depth and extent of burn, inhalation injury, flushing time, hospital admission and referral status, intensive care unit admission, and mortality. Logistic regression analyses were used to evaluate risk factors. Model performance and calibration was evaluated by measures of discrimination and goodness-of-fit statistic, respectively. A nomogram of four major risk factors was used to calculate the probability of mortality.
RESULTS: Only 22,665 patients (mean [SD] age, 31.05 [22.67] years; mean second-degree and third-degree burn sizes, 8.67% [10.64%] and 3.25% [10.91%], respectively) survived until discharge, for a mortality rate of 2.08%.
CONCLUSION: Burn depth is an important predictive factor for mortality. An objective model can help estimate the probability of death in acute burn injury.
LEVEL OF EVIDENCE: Prognostic study, level II.
METHODS: From 1997 to 2010, 23,147 patients with acute burn injury in 44 hospitals were retrospectively reviewed. Variables examined were age, sex, depth and extent of burn, inhalation injury, flushing time, hospital admission and referral status, intensive care unit admission, and mortality. Logistic regression analyses were used to evaluate risk factors. Model performance and calibration was evaluated by measures of discrimination and goodness-of-fit statistic, respectively. A nomogram of four major risk factors was used to calculate the probability of mortality.
RESULTS: Only 22,665 patients (mean [SD] age, 31.05 [22.67] years; mean second-degree and third-degree burn sizes, 8.67% [10.64%] and 3.25% [10.91%], respectively) survived until discharge, for a mortality rate of 2.08%.
CONCLUSION: Burn depth is an important predictive factor for mortality. An objective model can help estimate the probability of death in acute burn injury.
LEVEL OF EVIDENCE: Prognostic study, level II.