PDF(Pubmed)
Abstract：
UNASSIGNED: Burn injury is a major cause of mortality. Majority of the burns occur in low and middle-income countries like Uganda. Uganda has a limited number of burn centres and medical resources, making a predictor of mortality necessary in allocation of the limited resources. Although the revised Baux (r-Baux) score has been validated and used in many high income countries, no study has assessed its role in an African low-income country; the reason this study was done.
UNASSIGNED: This was a prospective multicentre cohort that enroled 101 burn patients with moderate and severe burns admitted in three tertiary hospitals in western Uganda. Follow-up was done until discharge, documenting mortality. A receiver operator characteristic curve was used to determine the role of r-Baux score in predicting mortality.
UNASSIGNED: This study included 101 patients, with a mean age of 21.3 (SD=16.8) years. The majority of the participants were male (69.3%). The area under the curved for r-Baux score\'s prediction of mortality was 0.943 (P<0.001). The most appropriate cut-off was determined to be 74.5. At this cut-off, r-Baux score predicted mortality with a sensitivity of 100% and specificity of 83.5%. After controlling for burn severity using Poisson regression, a patient with r-Baux score greater than 74.5 was 1.358 times more likely to die (adjusted risk ratio=1.358, 95% CI=1.195-1.543, P<0.001).
UNASSIGNED: The r-Baux score was found to be excellent at predicting mortality among burn patients in Uganda and therefore should be done for all patients at admission, in order to predict mortality and do proper planning.
UNASSIGNED: This was a prospective multicentre cohort that enroled 101 burn patients with moderate and severe burns admitted in three tertiary hospitals in western Uganda. Follow-up was done until discharge, documenting mortality. A receiver operator characteristic curve was used to determine the role of r-Baux score in predicting mortality.
UNASSIGNED: This study included 101 patients, with a mean age of 21.3 (SD=16.8) years. The majority of the participants were male (69.3%). The area under the curved for r-Baux score\'s prediction of mortality was 0.943 (P<0.001). The most appropriate cut-off was determined to be 74.5. At this cut-off, r-Baux score predicted mortality with a sensitivity of 100% and specificity of 83.5%. After controlling for burn severity using Poisson regression, a patient with r-Baux score greater than 74.5 was 1.358 times more likely to die (adjusted risk ratio=1.358, 95% CI=1.195-1.543, P<0.001).
UNASSIGNED: The r-Baux score was found to be excellent at predicting mortality among burn patients in Uganda and therefore should be done for all patients at admission, in order to predict mortality and do proper planning.
摘要：
■烧伤是死亡的主要原因。大多数烧伤发生在乌干达等低收入和中等收入国家。乌干达的烧伤中心和医疗资源数量有限，在分配有限的资源时，必须预测死亡率。尽管修订后的Baux（r-Baux）评分已在许多高收入国家得到验证和使用，没有研究评估其在非洲低收入国家的作用;这项研究被做的原因。
■这是一个前瞻性多中心队列，纳入了乌干达西部三家三级医院收治的101例中度和重度烧伤患者。随访直到出院，记录死亡率。使用受试者操作员特征曲线来确定r-Baux评分在预测死亡率中的作用。
■这项研究包括101名患者，平均年龄为21.3（SD=16.8）岁。大多数参与者是男性（69.3％）。r-Baux评分预测死亡率的曲线下面积为0.943(P<0.001)。最合适的截止值被确定为74.5。在这个截止日期，r-Baux评分预测死亡率的敏感性为100%，特异性为83.5%。在使用泊松回归控制烧伤严重程度后，r-Baux评分大于74.5的患者死亡的可能性增加1.358倍(校正风险比=1.358,95%CI=1.195-1.543,P<0.001).
■发现r-Baux评分在预测乌干达烧伤患者的死亡率方面非常出色，因此应在入院时对所有患者进行评分，为了预测死亡率和做适当的计划。
■这是一个前瞻性多中心队列，纳入了乌干达西部三家三级医院收治的101例中度和重度烧伤患者。随访直到出院，记录死亡率。使用受试者操作员特征曲线来确定r-Baux评分在预测死亡率中的作用。
■这项研究包括101名患者，平均年龄为21.3（SD=16.8）岁。大多数参与者是男性（69.3％）。r-Baux评分预测死亡率的曲线下面积为0.943(P<0.001)。最合适的截止值被确定为74.5。在这个截止日期，r-Baux评分预测死亡率的敏感性为100%，特异性为83.5%。在使用泊松回归控制烧伤严重程度后，r-Baux评分大于74.5的患者死亡的可能性增加1.358倍(校正风险比=1.358,95%CI=1.195-1.543,P<0.001).
■发现r-Baux评分在预测乌干达烧伤患者的死亡率方面非常出色，因此应在入院时对所有患者进行评分，为了预测死亡率和做适当的计划。
