Department of Gastroenterology, Aberdeen Royal Infirmary, Foresterhill Road, Aberdeen, AB25 2ZN, UK.
Department of Gastroenterology, Aberdeen Royal Infirmary, Foresterhill Road, Aberdeen, AB25 2ZN, UK.
Clin Nutr ESPEN. 2021 Apr;42:227-232. doi: 10.1016/j.clnesp.2021.01.032. Epub 2021 Feb 17.
and study aims: The Sheffield Gastrostomy Score (SGS) was devised to stratify patients by calculating their risk of mortality at 30 days following PEG insertion. The aim was to externally validate the SGS and identify any further predictors of 30-day mortality.
Retrospective review of all PEG insertions performed over a ten year period in our centre. All patients who had a new PEG inserted were identified and the SGS calculated. Additionally, demographic, indication for PEG insertion and other blood results were recorded. Receiver operating characteristic curves were calculated and subsequent univariate and multivariate analysis was performed to identify additional risk factors for 30 day mortality.
The PEG database comprised 1373 patients, of which 808 were suitable for analysis. For each increasing SGS gradation mortality rose, with 4% of those scoring 0 compared to 50% scoring 3. An area under the ROC curve of 0.69 (95% confidence interval 0.64-0.74) indicated good discriminative capacity. Multivariate analysis demonstrated that age ≥60 years (OR = 2.1 p = 0.016), serum albumin concentrations of 25-34 g/l (OR = 2.5 p = 0.001) or <25 g/l (OR = 6.8 p < 0.001), C-Reactive Protein ≥10 mg/l (OR = 2.7 p = 0.009) and lymphocyte count of <1.5 × 10/l (OR = 2.0 p = 0.004) increased the odds of 30-day mortality, whilst referral for PEG placement whilst an inpatient decreased the risk of death (OR = 0.53 p = 0.005).
The SGS displayed reasonable predictive ability but the area under the curve is not high enough for routine clinical use. Modelling of further predictors from a multicentre study could provide scope for updating the SGS potentially improving patient selection.
研究目的:谢菲尔德胃造口评分(SGS)通过计算患者在 PEG 插入后 30 天的死亡率来对患者进行分层。目的是对外验证 SGS,并确定 30 天死亡率的其他预测因素。
回顾性分析了我们中心十年来所有进行的 PEG 插入病例。确定所有新插入 PEG 的患者,并计算 SGS。此外,记录了患者的人口统计学、PEG 插入的适应证和其他血液检查结果。计算了接受者操作特征曲线,随后进行单变量和多变量分析,以确定 30 天死亡率的其他危险因素。
PEG 数据库包含 1373 例患者,其中 808 例适合分析。随着 SGS 分级的增加,死亡率也随之升高,SGS 评分为 0 的患者死亡率为 4%,而 SGS 评分为 3 的患者死亡率为 50%。ROC 曲线下面积为 0.69(95%置信区间 0.64-0.74),表明具有良好的区分能力。多变量分析表明,年龄≥60 岁(OR=2.1,p=0.016)、血清白蛋白浓度为 25-34g/l(OR=2.5,p=0.001)或<25g/l(OR=6.8,p<0.001)、C 反应蛋白≥10mg/l(OR=2.7,p=0.009)和淋巴细胞计数<1.5×109/L(OR=2.0,p=0.004)均增加了 30 天死亡率的可能性,而因 PEG 放置而住院的患者死亡风险降低(OR=0.53,p=0.005)。
SGS 具有合理的预测能力,但曲线下面积不够高,无法用于常规临床使用。来自多中心研究的进一步预测因素的建模可以为更新 SGS 提供空间,从而有可能改善患者选择。