食管恶性肿瘤手术切除患者虚弱状态与并发症的关系。

IF 2.1 Q3 GASTROENTEROLOGY & HEPATOLOGY Annals of Gastroenterology Pub Date : 2023-09-01 Epub Date: 2023-07-25 DOI:10.20524/aog.2023.0825
Shane Shahrestani, Sammy Sayed, Tania Nasrollahi, Tasha Nasrollahi, Linda Huang, Erin McGillivray, William Chour, Andrew Foong, Shadi Dowlatshahi
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引用次数: 0

摘要

背景:过去十年的研究强调,患者的虚弱状态是食管癌症预后的重要预测因素,但评估虚弱在这些患者中的作用的文献仍然有限。我们评估了虚弱在食管恶性肿瘤切除患者中的作用。方法:我们使用2016年和2017年的全国读者数据库来确定接受食管恶性肿瘤切除的患者。使用约翰斯·霍普金斯调整临床组虚弱定义诊断指标对患者虚弱进行询问。倾向评分匹配确定289名虚弱患者和281名非虚弱患者。在建立用于预测出院处置的逻辑回归模型后,进行了Mann-Whitney U测试,并创建了受试者操作特征(ROC)曲线。曲线下面积(AUC)是模型性能的代表。结果:虚弱患者的非常规出院次数明显增多,住院时间更长,费用更高,急性感染次数更多,出现出血性贫血和深静脉血栓形成,以及更高的死亡率(结论:发现虚弱与食管切除术后住院并发症的发生率较高显著相关。与单独使用年龄的预测模型相比,将患者虚弱状态纳入出院处置的预测模型具有更好的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Association between frailty status and complications in patients undergoing surgical excision of malignant esophageal neoplasms.

Background: Research within the last decade highlights the patients' frailty status as an important predictor of esophageal cancer outcomes, but the literature evaluating frailty's role in these patients remains limited. We evaluated the role of frailty in patients undergoing resection of malignant esophageal neoplasms.

Methods: We used the Nationwide Readmissions Database from 2016 and 2017 to identify patients who underwent excision of a malignant esophageal neoplasm. Patient frailty was queried using the Johns Hopkins Adjusted Clinical Groups frailty-defining diagnosis indicator. Propensity score matching identified 289 frail patients and 281 non-frail patients. Mann-Whitney U testing was performed and receiver operating characteristic (ROC) curves were created, following the creation of logistic regression models for predicting discharge disposition. The area under the curve (AUC) served as a proxy for model performance.

Results: Frail patients had significantly more nonroutine discharges, longer inpatient lengths of stay, higher costs, more acute infections, posthemorrhagic anemia and deep vein thrombosis, and greater mortality (P<0.05). No significant differences were found between the 2 cohorts with respect to readmission rates, pulmonary embolism or dysphagia. Predictive models for patient discharge disposition demonstrated that frailty status in combination with age resulted in better ROC curves (AUC: 0.652) compared to models using age alone (AUC: 0.601).

Conclusions: Frailty was found to be significantly correlated with higher rates of inpatient medical complications following esophagectomy. The inclusion of patient frailty status in predictive models for discharge disposition resulted in a better predictive capacity compared to those using age alone.

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来源期刊
Annals of Gastroenterology
Annals of Gastroenterology GASTROENTEROLOGY & HEPATOLOGY-
CiteScore
4.30
自引率
0.00%
发文量
58
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