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移植数据库中应收集的变量以改善风险预测的系统评价。

A Systematic Review for Variables to Be Collected in a Transplant Database for Improving Risk Prediction.

机构信息

Evidence-Based Practice Research Program, Mayo Clinic, MN.

Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, MN.

出版信息

Transplantation. 2019 Dec;103(12):2591-2601. doi: 10.1097/TP.0000000000002652.

DOI:10.1097/TP.0000000000002652
PMID:30768569
Abstract

BACKGROUND

This systematic review was commissioned to identify new variables associated with transplant outcomes that are not currently collected by the Organ Procurement and Transplantation Network (OPTN).

METHODS

We identified 81 unique studies including 1 193 410 patients with median follow-up of 36 months posttransplant, reporting 108 unique risk factors.

RESULTS

Most risk factors (104) were recipient related; few (4) were donor related. Most risk factors were judged to be practical and feasible to routinely collect. Relative association measures were small to moderate for most risk factors (ranging between 1.0 and 2.0). The strongest relative association measure for a heart transplant outcome with a risk factor was 8.6 (recipient with the previous Fontan operation), for a kidney transplant 2.8 (sickle cell nephropathy as primary cause of end-stage renal disease), for a liver transplant 14.3 (recipient serum ferritin >500 µg/L), and for a lung transplant 6.3 (Burkholderia cepacia complex infection for 1 y or less). OPTN may consider some of these 108 variables for future collection to enhance transplant research and clinical care.

CONCLUSIONS

Evidence-based approaches can be used to determine variables collected in databases and registries. Several candidate variables have been identified for OPTN.

摘要

背景

本系统评价旨在确定与移植结局相关的新变量,这些变量目前尚未被器官获取与移植网络(OPTN)收集。

方法

我们共确定了 81 项独特的研究,其中包括 1193410 例中位随访时间为移植后 36 个月的患者,报告了 108 个独特的风险因素。

结果

大多数风险因素(104 个)与受者相关;少数(4 个)与供者相关。大多数风险因素被认为是实用且可行的,可以常规收集。大多数风险因素的相对关联度量值较小到中等(范围在 1.0 到 2.0 之间)。与心脏移植结局相关的最强相对关联度量值为 8.6(先前接受过 Fontan 手术的受者),与肾脏移植相关的为 2.8(镰状细胞肾病作为终末期肾病的主要病因),与肝脏移植相关的为 14.3(受者血清铁蛋白>500 µg/L),与肺移植相关的为 6.3(定植于肺部的铜绿假单胞菌在 1 年或更短时间内)。OPTN 可能会考虑未来收集这些 108 个变量中的一些,以增强移植研究和临床护理。

结论

可以使用循证方法来确定数据库和登记处中收集的变量。已经为 OPTN 确定了几个候选变量。

相似文献

1
A Systematic Review for Variables to Be Collected in a Transplant Database for Improving Risk Prediction.移植数据库中应收集的变量以改善风险预测的系统评价。
Transplantation. 2019 Dec;103(12):2591-2601. doi: 10.1097/TP.0000000000002652.
2
Validating Early Post-Transplant Outcomes Reported for Recipients of Deceased Donor Kidney Transplants.验证已故供体肾移植受者报告的移植后早期结果
Clin J Am Soc Nephrol. 2016 Feb 5;11(2):324-31. doi: 10.2215/CJN.06950615. Epub 2015 Dec 14.
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Validity of skin cancer malignancy reporting to the Organ Procurement Transplant Network: A cohort study.皮肤癌恶性肿瘤向器官获取与移植网络报告的有效性:一项队列研究。
J Am Acad Dermatol. 2018 Feb;78(2):264-269. doi: 10.1016/j.jaad.2017.09.003. Epub 2017 Oct 12.
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Explainable variation in renal transplant outcomes: a comparison of standard and expanded criteria donors.肾移植结果的可解释变异:标准和扩大标准供体的比较。
Clin Transpl. 2004:303-14.
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Linking the US transplant registry to administrative claims data: expanding the potential of transplant research.将美国移植登记处与行政索赔数据相连接:拓展移植研究的潜力。
Med Care. 2007 Jun;45(6):529-36. doi: 10.1097/MLR.0b013e3180326121.
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The UNOS OPTN waiting list and donor registry.器官共享联合网络(UNOS)的器官分配等待名单和捐赠者登记系统。
Clin Transpl. 1997:61-80.
7
SRTR center-specific reporting tools: Posttransplant outcomes.器官共享联合网络中心特定报告工具:移植后结果。
Am J Transplant. 2006;6(5 Pt 2):1198-211. doi: 10.1111/j.1600-6143.2006.01275.x.
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The UNOS OPTN waiting list: 1988 to 1994. United Network for Organ Sharing. Organ Procurement and Transplantation Network.器官共享联合网络(UNOS)器官分配等待名单:1988年至1994年。器官获取与移植网络。
Clin Transpl. 1994:69-86.
9
The UNOS OPTN waiting list, 1988-1998.1988 - 1998年美国器官共享联合网络(UNOS)器官分配等待名单
Clin Transpl. 1999:71-82.
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Developing Statistical Models to Assess Transplant Outcomes Using National Registries: The Process in the United States.利用国家登记处开发统计模型以评估移植结果:美国的流程
Transplantation. 2016 Feb;100(2):288-94. doi: 10.1097/TP.0000000000000891.

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