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结肠癌患者一年和两年死亡率的预测因素:一项前瞻性队列研究。

Predictors of one and two years' mortality in patients with colon cancer: A prospective cohort study.

机构信息

Unidad de Investigación, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain.

Red de Investigación en Servicios Sanitarios y Enfermedades Crónicas (REDISSEC), Galdakao, Bizkaia, Spain.

出版信息

PLoS One. 2018 Jun 28;13(6):e0199894. doi: 10.1371/journal.pone.0199894. eCollection 2018.

Abstract

BACKGROUND

Tools to aid in the prognosis assessment of colon cancer patients in terms of risk of mortality are needed. Goals of this study are to develop and validate clinical prediction rules for 1- and 2-year mortality in these patients.

METHODS

This is a prospective cohort study of patients diagnosed with colon cancer who underwent surgery at 22 hospitals. The main outcomes were mortality at 1 and 2 years after surgery. Background, clinical parameters, and diagnostic tests findings were evaluated as possible predictors. Multivariable multilevel logistic regression and survival models were used in the analyses to create the clinical prediction rules. Models developed in the derivation sample were validated in another sample of the study.

RESULTS

American Society of Anesthesiologists Physical Status Classification System (ASA), Charlson comorbidity index (> = 4), age (>75 years), residual tumor (R2), TNM stage IV and log of lymph nodes ratio (> = -0.53) were predictors of 1-year mortality (C-index (95% CI): 0.865 (0.792-0.938)). Adjuvant chemotherapy was an additional predictor. Again ASA, Charlson Index (> = 4), age (>75 years), log of lymph nodes ratio (> = -0.53), TNM, and residual tumor were predictors of 2-year mortality (C-index:0.821 (0.766-0.876). Chemotherapy was also an additional predictor.

CONCLUSIONS

These clinical prediction rules show very good predictive abilities of one and two years survival and provide clinicians and patients with an easy and quick-to-use decision tool for use in the clinical decision process while the patient is still in the index admission.

摘要

背景

需要工具来帮助评估结肠癌患者的死亡率风险。本研究的目的是为这些患者开发和验证 1 年和 2 年死亡率的临床预测规则。

方法

这是一项对在 22 家医院接受手术治疗的结肠癌患者进行的前瞻性队列研究。主要结局是手术后 1 年和 2 年的死亡率。评估背景、临床参数和诊断测试结果作为可能的预测因素。多变量多级逻辑回归和生存模型用于分析以创建临床预测规则。在推导样本中开发的模型在研究的另一个样本中进行了验证。

结果

美国麻醉医师协会身体状况分类系统(ASA)、Charlson 合并症指数(>=4)、年龄(>75 岁)、残留肿瘤(R2)、TNM 分期 IV 和对数淋巴结比值(>= -0.53)是 1 年死亡率的预测因素(C 指数(95%CI):0.865(0.792-0.938))。辅助化疗是另一个预测因素。同样,ASA、Charlson 指数(>=4)、年龄(>75 岁)、对数淋巴结比值(>= -0.53)、TNM 和残留肿瘤是 2 年死亡率的预测因素(C 指数:0.821(0.766-0.876))。化疗也是一个额外的预测因素。

结论

这些临床预测规则显示出非常好的 1 年和 2 年生存率预测能力,并为临床医生和患者提供了一种简单易用的决策工具,以便在患者仍在入院时在临床决策过程中使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe38/6023168/8e68389eac7c/pone.0199894.g001.jpg

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