Prediction of perioperative complications in colorectal cancer via artificial intelligence analysis of heart rate variability.

IF 1.8 4区 医学 Q3 GASTROENTEROLOGY & HEPATOLOGY
Miao-Miao Ge, Li-Wen Wang, Jun Wang, Jiang Liu, Peng Chen, Xin-Xin Liu, Gang Wang, Guan-Wen Gong, Zhi-Wei Jiang
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Abstract

Background: Heart rate variability (HRV) represents efferent vagus nerve activity, which is suggested to be related to fundamental mechanisms of tumorigenesis and to be a predictor of prognosis in various cancers. Therefore, this study hypothesized that HRV monitoring could predict perioperative complication (PC) in colorectal cancer (CRC) patients.

Aim: To investigate the prognostic value of HRV in hospitalized CRC patients.

Methods: The observational studies included 87 patients who underwent CRC surgical procedures under enhanced recovery after surgery programs in a first-class hospital. The HRV parameters were compared between the PC group and the non PC (NPC) group from preoperative day 1 to postoperative day (Pod) 3. In addition, inflammatory biomarkers and nutritional indicators were also analyzed.

Results: The complication rate was 14.9%. HRV was markedly abnormal after surgery, especially in the PC group. The frequency-domain parameters (including pNN50) and time-domain parameters [including high-frequency (HF)] of HRV were significantly different between the two groups postoperatively. The pNN50 was significantly greater at Pod1 in the PC group than that in the NPC group and returned to baseline at Pod2, suggesting that patients with complications exhibited autonomic nerve dysfunction in the early postoperative period. In the PC group, HFs were also enhanced from Pod1 and were significantly higher than in the NPC group; inflammatory biomarkers were significantly elevated at Pod2 and Pod3; the levels of nutritional indicators were significantly lower at Pod1 and Pod2; and the white blood cell count was slightly elevated at Pod3.

Conclusion: HRV is independently associated with postoperative complications in patients with CRC. Abnormal HRV could predicted an increased risk of postoperative complications in CRC patients. Continuous HRV could be used to monitor complications in patients with CRC during the perioperative period.

通过心率变异性人工智能分析预测结直肠癌围手术期并发症。
背景:心率变异性(HRV)代表了传出迷走神经的活动,它被认为与肿瘤发生的基本机制有关,并且是各种癌症预后的预测因子。因此,本研究假设HRV监测可以预测结直肠癌(CRC)患者围手术期并发症(PC)。目的:探讨HRV在结直肠癌住院患者中的预后价值。方法:观察性研究纳入87例在某三甲医院接受结直肠癌手术的患者。比较术前第1天至术后第3天PC组与非PC组的HRV参数。此外,还分析了炎症生物标志物和营养指标。结果:并发症发生率为14.9%。术后HRV明显异常,尤其是PC组。两组术后HRV的频域参数(包括pNN50)和时域参数(包括高频(HF))差异均有统计学意义。pNN50在Pod1时显著高于NPC组,在Pod2时恢复到基线水平,提示并发症患者术后早期出现自主神经功能障碍。在PC组中,Pod1也增强了HFs,且显著高于NPC组;炎症生物标志物在Pod2和Pod3显著升高;豆荚1和豆荚2营养指标水平显著降低;在Pod3时,白细胞计数略有升高。结论:HRV与结直肠癌患者术后并发症独立相关。异常HRV可以预测结直肠癌患者术后并发症的风险增加。持续HRV可用于监测围手术期结直肠癌患者的并发症。
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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