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首页> 外文期刊>The American Journal of Surgery >Blood transfusions in colorectal cancer surgery: Incidence, outcomes, and predictive factors: An American College of Surgeons National Surgical Quality Improvement Program analysis
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Blood transfusions in colorectal cancer surgery: Incidence, outcomes, and predictive factors: An American College of Surgeons National Surgical Quality Improvement Program analysis

机译:大肠癌手术中的输血:发生率,结果和预测因素:美国外科医生学院国家外科手术质量改善计划分析

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摘要

Background Data analyzing the short-term outcomes and predictors of blood transfusions (BTs) in colorectal cancer (CRC) surgery are limited. Methods The American College of Surgeons National Surgical Quality Improvement Program (2005 to 2010) was retrospectively reviewed for CRC cases performed with or without BT. Patient demographics, comorbidities, and operative variables were analyzed. Multivariate regression analysis was performed examining the effect of BT on outcomes. The LASSO algorithm for logistic regression was used to build a predictive model for BT taking into account preoperative and operative variables. Results A total of 27,120 patients underwent CRC, and 3,815 (14.07%) had BTs. Transfusions were associated with increased mortality (odds ratio [OR], 1.78), morbidity (OR, 2.38), length of stay (mean difference, 3.52 days), pneumonia (OR, 2.70), and surgical-site infection (OR, 1.45). This effect was "dose dependent," as patients receiving ≥3 U of blood had increased morbidity (OR, 1.53), lengths of stay (mean difference, 1.82 days), pneumonia (OR, 2.52), and surgical-site infections (OR, 1.60) compared with those receiving 1 to 2 U. Predictors of BT were hematocrit <38%, open surgery, proctectomy, low platelet count, American Society of Anesthesiologists class IV or V, total colectomy, metastatic cancer, emergency, ascites, and infection. All P values were <.05. Conclusions BTs are associated with worse short-term outcomes after CRC surgery. Knowledge of predictive factors will help in risk stratification and counseling.
机译:背景技术用于分析结直肠癌(CRC)手术的短期结果和输血(BTs)预测因素的数据有限。方法回顾性分析美国外科医师学会国家外科手术质量改善计划(2005年至2010年)中是否有BT的CRC病例。分析了患者的人口统计学,合并症和手术变量。进行了多元回归分析,以检查BT对结局的影响。考虑术前和术中变量,使用用于逻辑回归的LASSO算法建立BT的预测模型。结果共有27,120例患者接受了CRC,其中3,815例(14.07%)患有BT。输血与死亡率增加(赔率[OR],1.78),发病率(OR,2.38),住院时间(平均差,3.52天),肺炎(OR,2.70)和手术部位感染(OR,1.45)相关。 )。这种作用是“剂量依赖性的”,因为接受≥3 U血液的患者发病率(OR,1.53),住院时间(平均差,1.82天),肺炎(OR,2.52)和手术部位感染(OR)增加(1.60)与接受1到2 U的那些相比。BT的预测指标是血细胞比容<38%,开腹手术,直肠切除术,血小板计数低,美国麻醉医师学会IV级或V级,完全结肠切除术,转移性癌症,急诊,腹水和感染。所有P值均<.05。结论BT与CRC术后短期预后差有关。对预测因素的了解将有助于风险分层和咨询。

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