Casaer Michaël, Kums Valerie, Wouters Pieter J, Van den kerckhove Eric, Van den Berghe Greet
Department of Intensive Care Medicine, University Hospital Gasthuisberg, Catholic University of Leuven, B-3000 Leuven, Belgium.
Burns. 2008 Mar;34(2):185-91. doi: 10.1016/j.burns.2007.03.004. Epub 2007 Aug 13.
To document incidence of pruritus and the presence of predisposing factors after small burns and their (subjective) impact on daily life.
Retrospective study interviewing all patients treated in an outpatient burn clinic during 2004. Patients were contacted by phone and questioned on aspects of the burn and the presence, intensity and impact of pruritus. Predisposing factors for pruritus were analysed by multivariate logistic regression analysis.
Eighty-five percent of the 318 outpatients consented to the interview. Median total burned surface area (TBSA) was 2% (interquartile range of 1-4%). Thirty-five percent of patients recalled moderate pruritus, 14% severe pruritus. Impact on daily life was reported in 42% of patients suffering from moderate pruritus and 92% of patients suffering from severe pruritus. A multi variant logistic regression model based on baseline parameters (TBSA, age and anatomical region burned) only predicted 16.8% of experienced pruritus.
Recovery from small burns is associated with a high incidence of pruritus, which has substantial impact on daily life. It is difficult to identify patients at risk at the time of injury, as baseline demographic and injury related parameters only play a minor role. Future studies are needed to assess the effect of prevention and treatment and to define predictors for the incidence of pruritus.
记录小面积烧伤后瘙痒的发生率、诱发因素的存在情况及其对日常生活的（主观）影响。
对2004年在门诊烧伤诊所接受治疗的所有患者进行回顾性研究。通过电话联系患者，询问烧伤情况以及瘙痒的存在、强度和影响。通过多因素逻辑回归分析瘙痒的诱发因素。
318名门诊患者中有85%同意接受访谈。烧伤总面积（TBSA）中位数为2%（四分位间距为1 - 4%）。35%的患者回忆有中度瘙痒，14%有重度瘙痒。42%的中度瘙痒患者和92%的重度瘙痒患者报告了对日常生活的影响。基于基线参数（TBSA、年龄和烧伤解剖部位）的多因素逻辑回归模型仅预测了16.8%的瘙痒发生情况。
小面积烧伤后的恢复与高瘙痒发生率相关，这对日常生活有重大影响。在受伤时难以识别有风险的患者，因为基线人口统计学和与损伤相关的参数仅起次要作用。需要进一步研究来评估预防和治疗的效果，并确定瘙痒发生率的预测因素。
