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急性小肠梗阻的诊断评分。

A Diagnostic Score for Acute Small Bowel Obstruction.

机构信息

Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland.

Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.

出版信息

Anticancer Res. 2021 Apr;41(4):1959-1970. doi: 10.21873/anticanres.14963.

Abstract

BACKGROUND/AIM: The diagnosis of acute small bowel obstruction (ASBO) may be difficult and the decision to operate is based on clinical findings. So far, the diagnostic scores (DSs) for ASBO detection have been rarely evaluated.

PATIENTS AND METHODS

A cohort of 1,333 acute abdominal pain (AAP) patients with 54 ASBO patients, were included in the study. The most significant diagnostic findings (in multivariate logistic regression analysis) were used to construct DS formulas for ASBO diagnosis with location of pain at diagnosis (LP+) and without location of pain at diagnosis (LP-). Meta-analytical techniques were used to calculate the summary sensitivity (Se) and specificity (Sp) estimates for each data sets (history-taking, findings, and DS formulas).

RESULTS

In SROC analysis, the AUC values for i) clinical history-taking, ii) diagnostic findings and tests, iii) DS and iv) DS were as follows: i) AUC=0.638 (95%CI=0.600-0.676); ii) AUC=0.694 (95%CI=0.630-0.724), iii) AUC=0.962 (95%CI=0.940-0.986), and for iv) AUC=0.971 (95%CI=0.952-0.988). In roccomp analysis for the AUC values, the differences are significant as follows: between i) and ii) p=0.312; between i) and iii) p<0.0001; between i) and iv) p<0.0001; between ii) and iii) p<0.0001; between ii) and iv) p<0.0001; and between iii) and iv) p=0.317.

CONCLUSION

The present study is the first to provide data that the DS could be used for clinical diagnosis of ASBO without radiological or laboratory analyses, to reach a high diagnostic accuracy in AAP patients.

摘要

背景/目的:急性小肠梗阻(ASBO)的诊断可能较为困难,手术决策基于临床发现。迄今为止,针对 ASBO 检测的诊断评分(DS)很少得到评估。

患者与方法

本研究纳入了 1333 例急性腹痛(AAP)患者,其中 54 例为 ASBO 患者。在多变量逻辑回归分析中,使用最显著的诊断发现构建了用于 ASBO 诊断的 DS 公式,包括诊断时疼痛的位置(LP+)和无诊断时疼痛的位置(LP-)。采用荟萃分析技术计算每个数据集(病史、发现和 DS 公式)的汇总敏感性(Se)和特异性(Sp)估计值。

结果

在 SROC 分析中,i)临床病史采集、ii)诊断发现和检查、iii)DS 和 iv)DS 的 AUC 值如下:i)AUC=0.638(95%CI=0.600-0.676);ii)AUC=0.694(95%CI=0.630-0.724),iii)AUC=0.962(95%CI=0.940-0.986),iv)AUC=0.971(95%CI=0.952-0.988)。在 roccomp 分析中,AUC 值的差异具有统计学意义:i)与 ii)之间,p=0.312;i)与 iii)之间,p<0.0001;i)与 iv)之间,p<0.0001;ii)与 iii)之间,p<0.0001;ii)与 iv)之间,p<0.0001;iii)与 iv)之间,p=0.317。

结论

本研究首次提供了数据,表明无需进行放射学或实验室分析,即可使用 DS 对 AAP 患者的 ASBO 进行临床诊断,达到较高的诊断准确性。

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