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量化缺血性结肠炎的风险因素:一项全国性回顾性队列研究。

Quantifying risk factors for ischemic colitis: A nationwide, retrospective cohort study.

作者信息

Twohig Patrick A, Desai Aakash, Skeans Jacob, Waghray Nisheet

机构信息

Department of Internal Medicine, MetroHealth Medical Center, Case Western Reserve University, 2500 MetroHealth Drive, Cleveland, OH, 44109, USA.

Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center, 410 W 10th Ave, Columbus, OH, 43210, USA.

出版信息

Indian J Gastroenterol. 2020 Aug;39(4):398-404. doi: 10.1007/s12664-020-01049-4. Epub 2020 Aug 14.

DOI:10.1007/s12664-020-01049-4
PMID:32797386
Abstract

BACKGROUND

Despite identifying numerous factors associated with colonic ischemia, the relative risk has been variable and not thoroughly evaluated. Hence, we aimed to quantify the risk of diseases and medications associated with ischemic colitis (IC).

METHODS

A population-based retrospective analysis in International Business Machines (IBM) Explorys (1999-2018), a pooled, de-identified database of 57 million patients in the USA, was performed. Odds ratios (OR) were calculated between IC and other diseases/medications. IC patients were also stratified by age to assess trends of IC in different age groups.

RESULTS

A total of 1560 patients had IC in the database. Hyperlipidemia had the highest association with IC (OR 15.3), consistent with prior reports of atherosclerosis being a major risk factor for IC. Hypertension, congestive heart failure, constipation, prior abdominal surgery, and atrial fibrillation all conferred odds greater than 10, which is consistent with prior reports. Novel findings of our study include that beta blockers (OR 9.6) and pro-inflammatory disease states such as vasculitis, rheumatoid arthritis, and malignancy all increase the risk of IC.

CONCLUSION

Early identification of IC is critical for minimizing morbidity and mortality. Epidemiologic information could be integrated with current clinical algorithms to more rapidly identify patients at risk.

摘要

背景

尽管已确定了许多与结肠缺血相关的因素,但其相对风险一直存在差异且未得到充分评估。因此,我们旨在量化与缺血性结肠炎(IC)相关的疾病和药物的风险。

方法

在国际商业机器公司(IBM)的Explorys数据库(1999 - 2018年)中进行了一项基于人群的回顾性分析,该数据库汇总了美国5700万患者的去识别化数据。计算了IC与其他疾病/药物之间的比值比(OR)。IC患者还按年龄分层,以评估不同年龄组中IC的趋势。

结果

数据库中共有1560例IC患者。高脂血症与IC的关联度最高(OR为15.3),这与先前关于动脉粥样硬化是IC主要危险因素的报道一致。高血压、充血性心力衰竭、便秘、既往腹部手术和心房颤动的比值比均大于10,这与先前报道一致。我们研究的新发现包括β受体阻滞剂(OR为9.6)以及血管炎、类风湿性关节炎和恶性肿瘤等促炎性疾病状态都会增加IC的风险。

结论

早期识别IC对于将发病率和死亡率降至最低至关重要。流行病学信息可与当前临床算法相结合,以更快地识别高危患者。

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