周一“星”视角|FEV1变异性可预测美国囊性纤维化患者的肺移植情况或死亡率;肺移植中供体与受体的年龄匹配:一项欧洲研究

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2017·EATTS 

01

FEV1 Variability Predicts Lung Transplant or Mortality in Cystic Fibrosis Patients in the US

Jonathan V. Todd, PhD1; Wayne J. Morgan, MD2; Rhonda D. Szczesniak, PhD3; Josh S. Ostrenga, MS1; Oisin J. O’Connell, MD4; Elizabeth A. Cromwell, PhD1; Albert Faro, MD1, Raksha Jain, MD5

1 Cystic Fibrosis Foundation, Bethesda, MD.

2 Department of Pediatrics, The University of Arizona, Tucson, AZ.

3 Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH.

4 Department of Respiratory Medicine, Cork University Hospital, Cork, Ireland.

5 Department of Medicine, University of Texas Southwestern.


Rationale:

Declines in percent predicted Forced Expiratory Volume in 1 Second (ppFEV1) are an important marker of clinical progression of Cystic Fibrosis (CF).


Objectives: We examined ppFEV1 variability on a combined outcome of lung transplant or death.


Methods: 

We estimated the association between ppFEV1 variability and the combined outcome of lung transplant or death. We included children ages 8 years and above with CF and two prior years of ppFEV1 data before baseline between 2005 and 2021. We defined ppFEV1 increased variability as any relative increase or decrease of at least 10% in ppFEV1 from a two-year averaged baseline. A marginal structural Cox proportional hazards model was used. We examined a cumulative measure of ppFEV1 variability, defined as the cumulative proportion of visits with ppFEV1 variability at each visit. Kaplan-Meier survival curves were generated based upon quartiles of the cumulative distribution of ppFEV1 variability.


Measurements and main results: 

We included 9,706 CF patients in our cohort. Median age at cohort entry was 8.3 (IQR 8.2-8.4) years, 50% of patients were female, 94% white, and median baseline ppFEV1 was 94.4 (IQR 81.6-106.1). The unadjusted HR for increased ppFEV1 variability on lung transplant/mortality was 4.13 (95% CI 3.48-4.90) and the weighted HR was 1.49 (95% CI 1.19-1.86). Survival curves stratified by quartile of cumulative variability demonstrated an increased hazard of lung transplant/mortality as the proportion of cumulative ppFEV1variability

increased.


Conclusions: 

We found a strong association between ppFEV1 variability and lung transplant or mortality in a cohort of people with CF in the US.


[CITATION]: Todd JV, Morgan WJ, Szczesniak RD, et al. FEV1 Variability Predicts Lung Transplant or Mortality in Cystic Fibrosis Patients in the US. Ann Am Thorac Soc. 2024 Jun 18.  

[DOI]: 10.1513/AnnalsATS.202307-648OC

[IF]: 6.8

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FEV1变异性可预测美国囊性纤维化患者的肺移植情况或死亡率

胸“星”外科学术团队兴趣小队成员 张馨月 

背景

第1秒用力呼气容积占预计值百分比(percent predicted Forced Expiratory Volume in 1 Second, ppFEV1)下降是囊性纤维化(cystic Fibrosis, CF)临床进展的重要标志。本研究评估了ppFEV1变异性对肺移植或死亡综合结果的影响。

方法

本研究预估了ppFEV1变异性与肺移植情况或死亡综合结果之间的关系。纳入了2005年至2021年期间8岁及以上的CF儿童和基线前两年的ppFEV1数据。将ppFEV1变异性增加定义为ppFEV1相较于两年平均基线增加或减少至少10%。采用边际结构Cox比例风险模型。研究了ppFEV1变异性的累积测量值,其定义为每次就诊ppFEV1变异性的累积比例。基于ppFEV1变异性累积分布的四分位数生成Kaplan-Meier生存曲线。

结果

本研究队列共纳入9,706CF患者。中位入组年龄为8.3IQR 8.2-8.4岁,50%的患者为女性,94%为白人,中位基线ppFEV194.4IQR 81.6-106.1ppFEV1变异性增加对肺移植/死亡率的校正HR4.1395%CI 3.48-4.90,加权HR1.4995%CI 1.19-1.86按累积变异性四分位数分层的生存曲线显示,随着ppFEV1累积变异性比例的增加,肺移植/死亡的风险也随之增加。

结论

本研究发现,在美国的CF患者队列中,ppFEV1变异性与肺移植不良结局或死亡率之间存在明显相关性

Table 2. Effects of Increased ppFEV1 Variability on Lung Transplant or Mortality


Figure 2. Five-Year Survival by Quartile of Cumulative Increased Variability

2017·EATTS 

02

Donor to recipient age matching in lung transplantation:

A European experience

P Pradere1, J Le Pavec2, S Morisset3, V Gerovasili4, R Kessler5, A Adlakha6, V Bunel7, K Santhanakrishnan8, X Demant9, A Roux10 , L Falque11 , V Cottin12 , J Parmar13, M Reynaud-Gaubert14, T Villeneuve15, A Tissot16, O Mercier17, A J Fisher18

1 Pneumology Department, Marie Lannelongue Hospital, Le Plessis Robinson, France; Newcastle University Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle upon Tyne, United Kingdom.

2 Pneumology Department, Marie Lannelongue Hospital, Le Plessis Robinson, France; Paris Saclay University, Faculty of Medical Sciences, Le Kremlin-Bicêtre, France; INSERM UMR-S 999, Pulmonary Hypertension: Pathophysiology and Novel Therapies, Hôpital Marie Lannelongue, Le Plessis Robinson, France.

3 Independent Biostatistician, Pérouges, France.

4 Transplant Department, Royal Brompton and Harefield Hospitals Guy's and St. Thomas' National Health Service Foundation Trust, London, United Kingdom; Imperial College London, Faculty of Medical Sciences, London, United Kingdom.

5 Groupe de Transplantation Pulmonaire des Hôpitaux Universitaires de Strasbourg, Inserm-Université de Strasbourg, Strasbourg, France.

6 Transplant Department, Royal Free London NHS Foundation Trust, University Hospitals Birmingham, Birmingham, United Kingdom.

7 APHP, Nord-Université Paris Cité, Hôpital Bichat-Claude Bernard, Service de Pneumologie B et Transplantation Pulmonaire, Paris, France.

8 Transplant Department, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.

9 Hôpital Haut-Lévêque, Service de pneumologie, CHU de Bordeaux, Bordeaux, France.

10 Hôpital Foch, Service de pneumologie, Suresnes, France.

11 Service Hospitalier Universitaire Pneumologie et Physiologie, Pôle Thorax et Vaisseaux, CHU Grenoble Alpes, Grenoble, France.

12 Hospices Civils de Lyon, GHE, Service de Pneumologie, Inserm, Lyon, France.

13 Transplant Department, Royal Papworth Hospital, Cambridge, United Kingdom.

14 CHU de Marseille, APHM, Hôpital Nord, Service de Pneumologie et Équipe de Transplantation pulmonaire; Aix-Marseille Université, Marseille, France.

15 CHU de Toulouse, Hôpital Larrey, Toulouse, France.

16 Nantes Université, CHU Nantes, Service de Pneumologie, Institut du thorax, Nantes, France.

17 Paris Saclay University, Faculty of Medical Sciences, Le Kremlin-Bicêtre, France; INSERM UMR-S 999, Pulmonary Hypertension: Pathophysiology and Novel Therapies, Hôpital Marie Lannelongue, Le Plessis Robinson, France; Thoracic Surgery and Heart-Lung Transplantation, Marie Lannelongue Hospital, Le Plessis Robinson, France.

18 Newcastle University Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle upon Tyne, United Kingdom; Institute of Transplantation, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom.


Background:

The age profile of organ donors and patients on lung transplantation (LT) waiting lists have changed over time. In Europe, the donor population has aged much more rapidly than the recipient population, making allocation decisions on lungs from older donors common. In this study we assessed the impact of donor and recipient age discrepancy on LT outcomes in the UK and France.


Methods: 

A retrospective analysis of all adult single or bilateral LT in France and the UK between 2010 and 2021. Recipients were stratified into 3 age author groups: young (≤30 years), middle-aged (30-60) and older (≥60). Their donors were also stratified into 2 groups <60, ≥60. Primary graft dysfunction (PGD) rates and recipient survival was compared between matched and mismatched donor and recipient age groups. Propensity matching was employed to minimize covariate imbalances and to improve the internal validity of our results.


Results: Our study cohort was 4,696 lung transplant recipients (LTRs). In young and older LTRs, there was no significant difference in 1 and 5-year post-transplant survival dependent on the age category of the donor. Young LTRs who received older donor grafts had a higher risk of severe grade 3 PGD.


Conclusions: 

Our findings show that clinically usable organs from older donors can be utilized safely in LT, even for younger recipients. Further research is needed to assess if the higher rate of PGD3 associated with use of older donors has an effect on long-term outcomes.


[CITATION]:Pradere P, Le Pavec J, Morisset S, et al. Donor to recipient age matching in lung transplantation:A European experience.J Heart Lung Transplant.2024 Jun 21:S1053-2498(24)01700-5.

[DOI]: 10.1016/j.healun.2024.06.008.

[IF]: 6.4

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肺移植中供体与受体的年龄匹配:一项欧洲研究

胸“星”外科学术团队兴趣小队成员 尤含月 译


背景

随着时间的推移,器官捐献者和肺移植(lung transplantation, LT)等待名单上的患者年龄结构发生变化。在欧洲,供体的老龄化速度显著超越受体,因此老年供体肺的分配决策变得普遍。本研究评估了供受体年龄差异对英国和法国LT结局的影响。

方法

本研究对2010年至2021年间法国和英国所有成年单侧或双侧肺移植患者进行了回顾性分析。受体被分为三个组:年轻组(≤30岁)、中年组(30-60岁)和老年组(≥60岁)。供体被分为了两组:<60岁和≥60岁。本研究比较了年龄匹配和不匹配的供受体间原发性移植物失功(primary graft dysfunction, PGD)率和受体生存率,采用倾向匹配以最小化协变量不平衡,并提高本研究结果的内部有效性。

结果

本研究纳入4696名肺移植受体(lung transplant recipients LTRs在年轻老年组受体中,供体的年龄类别对移植后1年和5年的生存率显著影响接受老年供体移植的年轻肺移植受患严重3PGD的风险更高。

结论

本研究结果表明老年供体的临床可用器官在LT安全使用,且对于年轻的受体如此。但仍需进一步研究来评估与使用老年供体相关3PGD发生率是否对长期结果有影响。

Table 2. One- and 5 Years Post-Transplant Survival According to the Age of the Donor and the Recipient.


Figure 5.  One-year (A) and 5 years (B) post-transplant survival according to the age of the donor, under or over 70 years old. Statistical test is a Log-Rank test.

2017·EATTS 



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