Suppr超能文献

危重病患者出院时红细胞分布宽度与院外死亡率的相关性*。

The association of red cell distribution width at hospital discharge and out-of-hospital mortality following critical illness*.

机构信息

1Department of Medicine, Brigham and Women's Hospital, Boston, MA. 2The Nathan E. Hellman Memorial Laboratory, Renal Division, Brigham and Women's Hospital, Boston, MA. 3Department of Nursing, Brigham and Women's Hospital, Boston, MA. 4Pulmonary Division, Massachusetts General Hospital, Boston, MA.

出版信息

Crit Care Med. 2014 Apr;42(4):918-29. doi: 10.1097/CCM.0000000000000118.

Abstract

OBJECTIVES

Red cell distribution width is associated with mortality and bloodstream infection risk in the critically ill. In hospitalized patients with critical illness, it is not known if red cell distribution width can predict subsequent risk of all-cause mortality following hospital discharge. We hypothesized that an increase in red cell distribution width at hospital discharge in patients who survived to discharge following critical care would be associated with increased postdischarge mortality.

DESIGN

Two-center observational cohort study

SETTING

: All medical and surgical ICUs at the Brigham and Women's Hospital and Massachusetts General Hospital.

PATIENTS

We studied 43,212 patients, who were 18 years old or older and received critical care between 1997 and 2007 and survived hospitalization.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The exposure of interest was red cell distribution width within 24 hours of hospital discharge and categorized a priori in quintiles as less than or equal to 13.3%, 13.3-14.0%, 14.0-14.7%, 14.7-15.8%, and more than 15.8%. The primary outcome was all-cause mortality in the 30 days following hospital discharge. Secondary outcomes included 90-day and 365-day mortality following hospital discharge. Mortality was determined using the U.S. Social Security Administration Death Master File, and 365-day follow-up was present in all cohort patients. Adjusted odds ratios were estimated by multivariable logistic regression models with inclusion of covariate terms thought to plausibly interact with both red cell distribution width and mortality. Adjustment included age, race, gender, Deyo-Charlson Index, patient type (medical vs surgical), sepsis, and number of organs with acute failure. In patients who received critical care and survived hospitalization, the discharge red cell distribution width was a robust predictor of all-cause mortality and remained so following multivariable adjustment. Patients with a discharge red cell distribution width of 14.0-14.7%, 14.7-15.8%, and more than 15.8% have an odds ratio for mortality in the 30 days following hospital discharge of 2.86 (95% CI, 2.25-3.62), 4.57 (95% CI, 3.66-5.72), and 8.80 (95% CI, 7.15-10.83), respectively, all relative to patients with a discharge red cell distribution width less than or equal to 13.3%. Following multivariable adjustment, patients with a discharge red cell distribution width of 14.0-14.7%, 14.7-15.8%, and more than 15.8% have an odds ratio for mortality in the 30 days following hospital discharge of 1.63 (95% CI, 1.27-2.07), 2.36 (95% CI, 1.87-2.97), and 4.18 (95% CI, 3.36-5.20), respectively, all relative to patients with a discharge red cell distribution width less than or equal to 13.3%. Similar significant robust associations post multivariable adjustments are seen with death by days 90 and 365 postdischarge. Estimating the receiver-operating characteristic area under the curve shows that discharge red cell distribution width has moderate discriminative power for mortality 30 days following hospital discharge (area under the curve = 0.70; SE 0.006; 95% CI, 0.69-0.71; p < 0.0001).

CONCLUSION

In patients treated with critical care who survive hospitalization, an elevated red cell distribution width at the time of discharge is a robust predictor of subsequent all-cause patient mortality. Increased discharge red cell distribution width likely reflects the presence of proinflammatory state, oxidative stress, arterial underfilling, or a combination, thereof which may explain the observed impact on patient survival following discharge. Elevated red cell distribution width at hospital discharge may identify ICU survivors who are at risk for adverse outcomes following hospital discharge.

摘要

目的

红细胞分布宽度与危重症患者的死亡率和血流感染风险相关。在患有危重症的住院患者中,尚不清楚红细胞分布宽度是否可以预测出院后全因死亡率的风险。我们假设在重症监护后存活出院的患者,出院时红细胞分布宽度增加与出院后死亡率增加相关。

设计

两中心观察性队列研究

地点

布莱根妇女医院和马萨诸塞州总医院的所有内科和外科重症监护病房。

患者

我们研究了 43212 名年龄在 18 岁或以上、1997 年至 2007 年期间接受重症监护并存活住院的患者。

干预措施

无。

测量和主要结果

感兴趣的暴露是出院后 24 小时内的红细胞分布宽度,并根据预先设定的五分位数分为小于或等于 13.3%、13.3-14.0%、14.0-14.7%、14.7-15.8%和大于 15.8%。主要结局是出院后 30 天内的全因死亡率。次要结局包括出院后 90 天和 365 天的死亡率。死亡率通过美国社会保障管理局死亡主文件确定,所有队列患者均进行了 365 天随访。通过包含可能与红细胞分布宽度和死亡率相互作用的协变量的多变量逻辑回归模型来估计调整后的优势比。调整包括年龄、种族、性别、Deyo-Charlson 指数、患者类型(内科与外科)、脓毒症和急性衰竭器官数量。在接受重症监护并存活住院的患者中,出院时的红细胞分布宽度是全因死亡率的一个强有力的预测因素,在多变量调整后仍然如此。出院时红细胞分布宽度为 14.0-14.7%、14.7-15.8%和大于 15.8%的患者,出院后 30 天的死亡率分别为 2.86(95%CI,2.25-3.62)、4.57(95%CI,3.66-5.72)和 8.80(95%CI,7.15-10.83),与出院时红细胞分布宽度小于或等于 13.3%的患者相比。在多变量调整后,出院时红细胞分布宽度为 14.0-14.7%、14.7-15.8%和大于 15.8%的患者,出院后 30 天的死亡率分别为 1.63(95%CI,1.27-2.07)、2.36(95%CI,1.87-2.97)和 4.18(95%CI,3.36-5.20),与出院时红细胞分布宽度小于或等于 13.3%的患者相比。在多变量调整后,与出院时红细胞分布宽度小于或等于 13.3%的患者相比,相似的显著稳健关联也见于出院后 90 天和 365 天的死亡率。估计受试者工作特征曲线下面积显示,出院时红细胞分布宽度对出院后 30 天的死亡率具有中等的区分能力(曲线下面积=0.70;SE 0.006;95%CI,0.69-0.71;p<0.0001)。

结论

在接受重症监护治疗并存活住院的患者中,出院时红细胞分布宽度升高是随后全因患者死亡率的有力预测指标。出院时红细胞分布宽度升高可能反映了促炎状态、氧化应激、动脉充盈不足或其组合的存在,这可能解释了出院后对患者生存的影响。出院时红细胞分布宽度升高可能会识别出 ICU 幸存者,他们在出院后有发生不良结局的风险。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验