结直肠手术后住院时间的决定因素

Gideon Addo, P. Ossei, Bismark Amponsah Yeboah, W. Ayibor, Raphael Doh-Nani, Seidu Mohammed, Michael Obuobi, Roselyn Assor Appau
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引用次数: 0

摘要

简介:住院时间(LOS)仍然是评估患者预后和医疗资源利用率的重要指标。鉴于诊断和治疗结直肠畸形会产生巨大的经济影响,加上术后并发症的易感性增加,了解结直肠手术后影响住院时间的因素至关重要。我们的主要目的是调查对结直肠手术后的 LOS 有重大影响的术前、术中和术后风险因素。方法:本研究分析了克利夫兰诊所基金会对接受各种结直肠手术(结肠造口术、回肠造口术、小肠切除术等)的成人进行的回顾性研究数据(2005 年 1 月至 2014 年 12 月)。预测变量分为术前(患者人口统计学、病史、合并症、生活方式因素)、术中和术后因素。住院时间分为短期(SLOS)(≤ 7 天)、中期(MLOS)(8-30 天)和长期(LLOS)(> 30 天)。多项式逻辑回归模型评估了预测因素对 LOS 的影响。结果:在 7874 名患者中,50.7% 为女性,最小年龄为 20 岁。61.1%的患者发生了SLOS,37.6%发生了MLOS,1.3%发生了LLOS。高龄与 LOS 延长相关,这可能是由于与年龄相关的健康挑战,如免疫系统薄弱。凝血功能障碍、体液和电解质紊乱增加了MLOS和LLOS风险,这可能是由于大量出血和电解质失衡等并发症造成的。手术持续时间预示着更长的LOS,使LLOS和MLOS分别增加了52%和42%。术后感染与住院时间延长有关,这可能是由于后续干预、监测和恢复延迟造成的。结论:我们的研究显示,术前预测住院时间的主要因素包括年龄、凝血功能障碍、体液和电解质紊乱、体重严重下降和药物滥用。值得注意的是,手术方式(开腹手术与腹腔镜手术)和手术持续时间等术中因素,以及术后并发症(包括浅表感染和严重感染)都对手术时间有显著影响。通过在术前计划中纳入这些见解,临床医生有可能制定出量身定制的干预措施,以减轻风险因素并促进术后恢复,从而有可能缩短生命周期并改善患者的预后。
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Determinants of Hospital Stay Duration Post-Colorectal Surgery
Introduction: Hospital length of stay (LOS) remains a vital metric for assessing patient outcomes and healthcare resource utilization. Given the substantial financial impact of diagnosing and treating colorectal anomalies, coupled with an increased susceptibility to postoperative complications, it is crucial to understand the factors affecting LOS following colorectal surgery. Our primary objective was to investigate the preoperative, intraoperative, and postoperative risk factors that have substantial influence over LOS following a colorectal procedure. Methods: This study analyzed data from a retrospective study of adults who underwent various colorectal surgeries (colostomy, ileostomy, small bowel resection, etc.) at Cleveland Clinic Foundation (January 2005 - December 2014). Predictor variables were categorized into preoperative (patient demographics, medical history, comorbidities, lifestyle factors), intraoperative, and postoperative factors. LOS was grouped into short-term (SLOS) (≤ 7 days), medium-term (MLOS) (8-30 days), and long-term (LLOS) (> 30 days) stays. Multinomial logistic regression models assessed predictor effects on LOS. Results: Among the 7874 patients, 50.7% were females, with a minimum age of 20 years. SLOS were observed in 61.1%, MLOS in 37.6%, and LLOS in 1.3% of patients. Advanced age correlated with prolonged LOS, possibly due to age-related health challenges like weak immune systems. Coagulopathy, and fluid and electrolyte disorders raised MLOS and LLOS risk, likely due to complications like significant bleeding and electrolyte imbalances. Surgery duration predicted longer LOS, elevating LLOS and MLOS by 52% and 42%. Postoperative infections were associated to extended stays, possibly due to subsequent interventions, monitoring and recovery delays. Conclusion: Our study revealed that key preoperative predictors of LOS included Age, coagulopathy, fluid and electrolyte disorders, severe weight loss, and drug abuse. Notably, intraoperative factors such as surgical approach (open vs laparoscopic) and surgery duration, alongside postoperative complications including superficial and serious infections, significantly influenced LOS. By incorporating these insights into the preoperative planning, clinicians could potentially develop tailored interventions to mitigate risk factors and enhance postoperative recovery, thus potentially reducing LOS and improving patient outcomes.
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