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在高危城市人群中识别慢性肾脏病:自动估算肾小球滤过率报告是否有区别?

Chronic kidney disease identification in a high-risk urban population: does automated eGFR reporting make a difference?

机构信息

Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

出版信息

J Urban Health. 2012 Dec;89(6):965-76. doi: 10.1007/s11524-012-9726-2.

Abstract

Whether automated estimated glomerular filtration rate (eGFR) reporting for patients is associated with improved provider recognition of chronic kidney disease (CKD), as measured by diagnostic coding of CKD in those with laboratory evidence of the disease, has not been explored in a poor, ethnically diverse, high-risk urban patient population. A retrospective cohort of 237 adult patients (≥ 20 years) with incident CKD (≥ 1 eGFR ≥ 60 ml/min/1.73 m(2), followed by ≥ 2 eGFRs <60 ml/min/1.73 m(2) ≥ 3 months apart)-pre- or post automated eGFR reporting-was identified within the San Francisco Department of Public Health Community Health Network (January 2005-July 2009). Patients were considered coded if any ICD-9-CM diagnostic codes for CKD (585.x), other kidney disease (580.x-581.x, 586.x), or diabetes (250.4) or hypertension (403.x, 404.x) CKD were present in the medical record within 6 months of incident CKD. Multivariable logistic regression was used to obtain adjusted odds ratios (ORs) for CKD coding. We found that, pre-eGFR reporting, 42.5 % of incident CKD patients were coded for CKD. Female gender, increased age, and non-Black race were associated with lower serum creatinine and lower prevalence of coding but comparable eGFR. Prevalence of coding was not statistically significantly higher overall (49.6 %, P = 0.27) or in subgroups after the institution of automated eGFR reporting. However, gaps in coding by age and gender were narrowed post-eGFR, even after adjustment for sociodemographic and clinical characteristics: 47.9 % of those <65 and 30.3 % of those ≥ 65 were coded pre-eGFR, compared to 49.0 % and 52.0 % post-eGFR (OR = 0.43 and 1.16); similarly, 53.2 % of males and 25.4 % of females were coded pre-eGFR compared to 52.8 % and 44.0 % post-eGFR (OR 0.28 vs. 0.64). Blacks were more likely to be coded in the post-eGFR period: OR = 1.08 and 1.43 (P (interaction) > 0.05). Automated eGFR reporting may help improve CKD recognition, but it is not sufficient to resolve under identification of CKD by safety net providers.

摘要

是否自动化估计肾小球滤过率(eGFR)报告与提供者识别慢性肾脏病(CKD)有关,这是通过有实验室证据的患者的 CKD 的诊断编码来衡量的,在贫穷的、种族多样化的、高风险的城市患者人群中尚未得到探索。在旧金山公共卫生部社区卫生网络(2005 年 1 月至 2009 年 7 月)中,确定了 237 名患有 CKD 的成年患者(≥ 20 岁)的回顾性队列(≥ 1 eGFR ≥ 60 ml/min/1.73 m2,随后≥ 2 eGFR <60 ml/min/1.73 m2≥ 3 个月)-在自动化 eGFR 报告之前或之后-如果在 CKD 病历中在 CKD 发病后 6 个月内存在任何 ICD-9-CM 诊断代码(585.x)、其他肾脏疾病(580.x-581.x、586.x)、或糖尿病(250.4)或高血压(403.x、404.x),则认为患者被编码。使用多变量逻辑回归获得 CKD 编码的调整比值比(OR)。我们发现,在 eGFR 报告之前,42.5%的 CKD 患者被编码为 CKD。女性性别、年龄增加和非黑人种族与较低的血清肌酐和较低的编码发生率但可比的 eGFR 相关。总体而言,编码的发生率没有统计学显著增加(49.6%,P = 0.27),或在自动化 eGFR 报告后,在亚组中也没有统计学显著增加。然而,即使在调整了社会人口统计学和临床特征后,eGFR 后的年龄和性别编码差距也缩小了:47.9%的<65 岁患者和 30.3%的≥ 65 岁患者在 eGFR 前被编码,而 49.0%和 52.0%在 eGFR 后(OR = 0.43 和 1.16);同样,53.2%的男性和 25.4%的女性在 eGFR 前被编码,而 52.8%和 44.0%在 eGFR 后(OR 0.28 与 0.64)。黑人更有可能在 eGFR 后被编码:OR = 1.08 和 1.43(P(交互)> 0.05)。自动化 eGFR 报告可能有助于提高 CKD 的识别率,但对于解决安全网提供者对 CKD 的识别不足问题还不够。

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Chronic kidney disease in the urban poor.城市贫困人群中的慢性肾脏病。
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