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肾移植和非肾移植受者的病毒检测负担和频率。

Burden and frequency of viral testing of kidney and non-kidney transplant recipients.

机构信息

Infectious Diseases/Immunology, Quest Diagnostics, Secaucus, New Jersey, USA.

Medical Informatics, Biostatistics and Outcomes Research Group, Quest Diagnostics, Secaucus, New Jersey, USA.

出版信息

Microbiol Spectr. 2024 Jun 4;12(6):e0357523. doi: 10.1128/spectrum.03575-23. Epub 2024 May 6.

Abstract

Transplant patients are at risk of infections due to long-term immunosuppression contributing to morbidity and mortality in this population. Post-transplant testing guidelines were established to monitor and guide therapeutic interventions in transplant recipients. We hypothesize that there are gaps in adherence to the recommended frequency of laboratory testing in post-transplant patients. We analyzed national reference laboratory data to compare viral post-transplant infection (PTI) testing frequency with their respective published guidelines to understand patient uptake and compliance. We evaluated the ordering patterns, positivity rates, and frequency of molecular infectious disease tests (MIDTs). We included 345 patients with International Classification of Diseases (ICD)-10 codes for transplant (Z940-Z942, Z944, Z9481, Z9483, Z9484) with at least two tests (within 7 days) in January 2019 and at least one test in December 2020 to find patients in the post-transplant period. We analyzed two cohorts: kidney transplant recipients (KTRs; 40%) and non-KTR (60%) then followed them longitudinally for the study period. In KTR cohort, high-to-low proportion of ordered MIDT was blood BK virus (bBKV) followed by cytomegalovirus (CMV); in non-KTR cohort, CMV was followed by Epstein-Barr virus (EBV). KTR cohort positivity was highest for urine BK virus (uBKV; 58%) followed by EBV (46%), bBKV (40%), and CMV (31%). Non-KTR cohort positivity was highest for uBKV (64%), EBV (51%), CMV (30%), bBKV (8%), and adenovirus (7%). All patients were tested at progressively longer intervals from the date of the first post-transplant ICD-10-coded test. More than 40% of the KTR cohort were tested less frequently for EBV and bBKV, and more than 20% of the non-KTR cohort were tested for EBV less frequently than published guidelines 4 months after transplant. Despite regular testing, the results of MIDT testing for KTR and non-KTR patients in the post-transplant period are not aligned with published guidelines.IMPORTANCEGuidance for post-transplant infectious disease testing is established, however, for certain infections it allows for clinician discretion. This leads to transplant center policies developing their own testing/surveillance strategies based on their specific transplant patient population (kidney, stem cell, etc.). The Organ Procurement and Transplant Network (OPTN) has developed a strategic plan to improve and standardize the transplant process in the US to improve outcomes of living donors and recipients. Publishing national reference lab data on the testing frequency and its alignment with the recommended guidelines for post-transplant infectious diseases can inform patient uptake and compliance for these strategic OPTN efforts.

摘要

移植患者由于长期免疫抑制而面临感染风险,这导致该人群的发病率和死亡率升高。为了监测和指导移植受者的治疗干预,制定了移植后检测指南。我们假设,移植后患者实验室检测的建议频率存在依从性差距。我们分析了国家参考实验室数据,以比较病毒移植后感染 (PTI) 检测的频率及其各自的已发表指南,以了解患者的接受程度和依从性。我们评估了检测模式、阳性率和分子传染病检测 (MIDT) 的频率。我们纳入了至少有两次(7 天内)2019 年 1 月和至少一次 2020 年 12 月移植后(ICD-10 编码 Z940-Z942、Z944、Z9481、Z9483、Z9484)的国际疾病分类 (ICD) 编码为移植的 345 名患者,以找到移植后患者。我们分析了两个队列:肾移植受者(KTR;40%)和非-KTR(60%),然后在研究期间对他们进行了纵向随访。在 KTR 队列中,按订单数量从高到低的 MIDT 依次为血液 BK 病毒 (bBKV) 、巨细胞病毒 (CMV);在非-KTR 队列中,CMV 之后是 EBV。KTR 队列的阳性率最高的是尿 BK 病毒 (uBKV;58%),其次是 EBV(46%)、bBKV(40%)和 CMV(31%)。非-KTR 队列的阳性率最高的是 uBKV(64%)、EBV(51%)、CMV(30%)、bBKV(8%)和腺病毒(7%)。所有患者均在首次移植后 ICD-10 编码测试之日起,间隔时间逐渐延长进行检测。KTR 队列中超过 40%的 EBV 和 bBKV 检测频率较低,而非 KTR 队列中超过 20%的 EBV 检测频率低于移植后 4 个月的已发表指南。尽管进行了常规检测,但移植后 KTR 和非-KTR 患者的 MIDT 检测结果与已发表指南不一致。重要信息移植后传染病检测的指南已经建立,然而,对于某些感染,医生可以自行决定。这导致移植中心根据其特定的移植患者群体(肾脏、干细胞等)制定自己的检测/监测策略。器官采购和移植网络 (OPTN) 制定了一项战略计划,以改善和规范美国的移植流程,提高活体供者和受者的结果。公布全国参考实验室关于检测频率及其与移植后传染病推荐指南的一致性数据,可以为这些 OPTN 战略努力的患者接受程度和依从性提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b5/11237713/b4a78dd5dcaa/spectrum.03575-23.f001.jpg

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