Suppr超能文献

剖宫产器官/腔隙手术部位感染的预后评分工具:推导与内部验证

A Prognostic Scoring Tool for Cesarean Organ/Space Surgical Site Infections: Derivation and Internal Validation.

作者信息

Assawapalanggool Srisuda, Kasatpibal Nongyao, Sirichotiyakul Supatra, Arora Rajin, Suntornlimsiri Watcharin

机构信息

1 Infection Control Section, Mae Sot Hospital, Tak Province, Thailand .

2 Division of Nursing Science, Faculty of Nursing, Chiang Mai University , Chiang Mai Province, Thailand .

出版信息

Surg Infect (Larchmt). 2017 Aug/Sep;18(6):694-701. doi: 10.1089/sur.2016.264. Epub 2017 Jun 27.

Abstract

BACKGROUND

Organ/space surgical site infections (SSIs) are serious complications after cesarean delivery. However, no scoring tool to predict these complications has yet been developed. This study sought to develop and validate a prognostic scoring tool for cesarean organ/space SSIs.

METHODS

Data for case and non-case of cesarean organ/space SSI between January 1, 2007 and December 31, 2012 from a tertiary care hospital in Thailand were analyzed. Stepwise multivariable logistic regression was used to select the best predictor combination and their coefficients were transformed to a risk scoring tool. The likelihood ratio of positive for each risk category and the area under receiver operating characteristic (AUROC) curves were analyzed on total scores. Internal validation using bootstrap re-sampling was tested for reproducibility.

RESULTS

The predictors of 243 organ/space SSIs from 4,988 eligible cesarean delivery cases comprised the presence of foul-smelling amniotic fluid (four points), vaginal examination five or more times before incision (two points), wound class III or greater (two points), being referred from local setting (two points), hemoglobin less than 11 g/dL (one point), and ethnic minorities (one point). The likelihood ratio of cesarean organ/space SSIs with 95% confidence interval among low (total score of 0-1 point), medium (total score of 2-5 points), and high risk (total score of ≥6 points) categories were 0.11 (0.07-0.19), 1.03 (0.89-1.18), and 13.25 (10.87-16.14), respectively. Both AUROCs of the derivation and validation data were comparable (87.57% versus 86.08%; p = 0.418).

CONCLUSIONS

This scoring tool showed a high predictive ability regarding cesarean organ/space SSIs on the derivation data and reproducibility was demonstrated on internal validation. It could assist practitioners prioritize patient care and management depending on risk category and decrease SSI rates in cesarean deliveries.

摘要

背景

器官/腔隙手术部位感染(SSIs)是剖宫产术后的严重并发症。然而,尚未开发出预测这些并发症的评分工具。本研究旨在开发并验证一种用于剖宫产器官/腔隙SSIs的预后评分工具。

方法

分析了泰国一家三级护理医院2007年1月1日至2012年12月31日期间剖宫产器官/腔隙SSI病例和非病例的数据。采用逐步多变量逻辑回归来选择最佳预测指标组合,并将其系数转换为风险评分工具。根据总分分析每个风险类别的阳性似然比和受试者操作特征曲线下面积(AUROC)。使用自举重采样进行内部验证以检验可重复性。

结果

在4988例符合条件的剖宫产病例中,243例器官/腔隙SSIs的预测因素包括羊水有异味(4分)、切开前阴道检查5次或更多次(2分)、伤口等级为III级或更高(2分)、从当地转诊(2分)、血红蛋白低于11 g/dL(1分)以及少数民族(1分)。低风险(总分0 - 1分)、中风险(总分2 - 5分)和高风险(总分≥6分)类别中剖宫产器官/腔隙SSIs的95%置信区间阳性似然比分别为0.11(0.07 - 0.19)、1.03(0.89 - 1.18)和13.25(10.87 - 16.14)。推导数据和验证数据的AUROCs具有可比性(87.57%对86.08%;p = 0.418)。

结论

该评分工具在推导数据上对剖宫产器官/腔隙SSIs显示出较高的预测能力,内部验证证明了其可重复性。它可以帮助从业者根据风险类别对患者护理和管理进行优先级排序,并降低剖宫产的SSI发生率。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验