Stratification of Kidney Transplant Recipients Into Five Subgroups Based on Temporal Disease Trajectories.

IF 1.9 Q3 TRANSPLANTATION Transplantation Direct Pub Date : 2024-01-24 eCollection Date: 2024-02-01 DOI:10.1097/TXD.0000000000001576
Isabella F Jørgensen, Victorine P Muse, Alejandro Aguayo-Orozco, Søren Brunak, Søren S Sørensen
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Abstract

Background: Kidney transplantation is the treatment of choice for patients with end-stage renal disease. Considerable clinical research has focused on improving graft survival and an increasing number of kidney recipients die with a functioning graft. There is a need to improve patient survival and to better understand the individualized risk of comorbidities and complications. Here, we developed a method to stratify recipients into similar subgroups based on previous comorbidities and subsequently identify complications and for a subpopulation, laboratory test values associated with survival.

Methods: First, we identified significant disease patterns based on all hospital diagnoses from the Danish National Patient Registry for 5752 kidney transplant recipients from 1977 to 2018. Using hierarchical clustering, these longitudinal patterns of diseases segregate into 3 main clusters of glomerulonephritis, hypertension, and diabetes. As some recipients are diagnosed with diseases from >1 cluster, recipients are further stratified into 5 more fine-grained trajectory subgroups for which survival, stratified complication patterns as well as laboratory test values are analyzed.

Results: The study replicated known associations indicating that diabetes and low levels of albumin are associated with worse survival when investigating all recipients. However, stratification of recipients by trajectory subgroup showed additional associations. For recipients with glomerulonephritis, higher levels of basophils are significantly associated with poor survival, and these patients are more often diagnosed with bacterial infections. Additional associations were also found.

Conclusions: This study demonstrates that disease trajectories can confirm known comorbidities and furthermore stratify kidney transplant recipients into clinical subgroups in which we can characterize stratified risk factors. We hope to motivate future studies to stratify recipients into more fine-grained, homogenous subgroups to better discover associations relevant for the individual patient and thereby enable more personalized disease-management and improve long-term outcomes and survival.

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根据疾病的时间轨迹将肾移植受者分为五个亚组
背景:肾移植是终末期肾病患者的首选治疗方法。大量临床研究都集中在提高移植物存活率上,但越来越多的肾脏受者在移植物功能正常的情况下死亡。我们需要提高患者的存活率,并更好地了解合并症和并发症的个体化风险。在此,我们开发了一种方法,根据先前的合并症将受者分为类似的亚组,随后确定并发症,并确定亚组中与存活率相关的实验室检测值:首先,我们根据丹麦国家患者登记处对1977年至2018年期间5752名肾移植受者的所有医院诊断结果,确定了重要的疾病模式。通过分层聚类,这些纵向疾病模式分为肾小球肾炎、高血压和糖尿病3大类。由于一些受者被诊断出患有一个以上群组的疾病,因此受者被进一步分层为5个更精细的轨迹亚组,对这些亚组的存活率、分层并发症模式以及实验室检测值进行了分析:结果:该研究重复了已知的关联,表明在调查所有受者时,糖尿病和白蛋白水平低与存活率降低有关。然而,按轨迹亚组对受者进行分层后,发现了更多的关联。对于患有肾小球肾炎的受者来说,嗜碱性粒细胞水平越高,生存率越低,而且这些患者更常被诊断为细菌感染。研究还发现了其他关联:这项研究表明,疾病轨迹可以证实已知的合并症,并进一步将肾移植受者分为临床亚组,从而确定分层风险因素的特征。我们希望激励未来的研究将受者分为更精细、更同质的亚组,以更好地发现与患者个体相关的关联,从而实现更个性化的疾病管理,改善长期预后和存活率。
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来源期刊
Transplantation Direct
Transplantation Direct TRANSPLANTATION-
CiteScore
3.40
自引率
4.30%
发文量
193
审稿时长
8 weeks
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