Derivation and external validation of the SIMPLICITY score as a simple immune-based risk score to predict infection in kidney transplant recipients

被引:7
|
作者
Fernandez-Ruiz, Mario [1 ]
Seron, Daniel [2 ]
Alonso, Angel [3 ]
Lora, David [4 ,5 ]
Hernandez, Domingo [6 ]
Gonzalez, Esther [7 ]
Jose Perez-Saez, Maria [8 ]
Gomez, Gonzalo [9 ]
Manuel Pallardo-Mateu, Luis [10 ]
Jimeno-Garcia, Luisa [11 ]
Cofan, Frederic [12 ]
Gutierrez-Dalmau, Alex [13 ]
Carlos Ruiz, Juan [14 ]
Ramirez-Puga, Ana [15 ]
Santana Estupinan, Raquel [16 ]
Marcen, Roberto [17 ]
Maria Portoles, Jose [18 ]
Angel Munoz-Cepeda, Miguel [19 ]
Lopez-Medrano, Francisco [1 ]
San Juan, Rafael [1 ]
Andres, Amado [6 ]
Maria Aguado, Jose [1 ]
机构
[1] Hosp Univ 12 Octubre, Inst Invest Hosp Octubre Imas12 12, Unit Infect Dis, Madrid, Spain
[2] Hosp Univ Vall dHebron, Vall dHebron Inst Recerca VHIR, Dept Nephrol, Barcelona, Spain
[3] Complexo Hosp Univ A Coruna, Dept Nephrol, La Coruna, Spain
[4] Inst Invest Hosp 12 Octubre imas12, Clin Res Unit, Madrid, Spain
[5] CIBER Epidemiol & Salud Publ CIBERESP, Malaga, Spain
[6] Hosp Univ Carlos Haya, Inst Invest Biomed Malaga IBIMA, Dept Nephrol, Malaga, Spain
[7] Hosp Univ 12 Octubre, Inst Invest Hosp Octubre Imas12 12, Dept Nephrol, Madrid, Spain
[8] Hosp del Mar, Inst Hosp Mar Invest Med IMIM, Dept Nephrol, Barcelona, Spain
[9] Hosp Univ Son Espases, Dept Nephrol, Palma De Mallorca, Spain
[10] Hosp Univ Doctor Peset, Dept Nephrol, Valencia, Spain
[11] Hosp Univ Virgen de la Arrixaca, Dept Nephrol, Murcia, Spain
[12] Hosp Clin Barcelona, Inst Invest Biomed August Pi & Sunyer IDIBAPS, Dept Nephrol & Kidney Transplantat, Barcelona, Spain
[13] Hosp Univ Miguel Server, Dept Nephrol, IIS Aragon, Zaragoza, Spain
[14] Hosp Univ Marques de Valdecilla, Inst Invest Marques de Valdecilla IDIVAL, Dept Nephrol, Santander, Spain
[15] Complejo Hosp Univ Insular Materno Infantil, Dept Nephrol, Las Palmas Gran Canaria, Spain
[16] Hosp Univ Doctor Negrin, Dept Nephrol, Las Palmas Gran Canaria, Spain
[17] Hosp Univ Ramon Y Cajal, Inst Ramon Y Cajal Invest Sanitaria IRYCIS, Dept Nephrol, Madrid, Spain
[18] Hosp Univ Puerta Hierro Majadahonda, Inst Invest Sanitaria Puerta Hierro Segovia de Ar, Dept Nephrol, Madrid, Spain
[19] Hosp Virgen de la Salud, Complejo Hosp Toledo, Dept Nephrol, Toledo, Spain
关键词
immune biomarkers; infection; kidney transplantation; prediction; outcomes; SIMPLICITY score; ORGAN-TRANSPLANTATION; PRACTICE GUIDELINES; HEART; DISEASE; DEFINITIONS; PHENOTYPE; KINETICS; SOCIETY; IMPACT;
D O I
10.1016/j.kint.2020.04.054
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Existing approaches for infection risk stratification in kidney transplant recipients are suboptimal. Here, we aimed to develop and validate a weighted score integrating non-pathogen-specific immune parameters and clinical variables to predict the occurrence of post-transplant infectious complications. To this end, we retrospectively analyzed a single-center derivation cohort of 410 patients undergoing kidney transplantation in 2008-2013 in Madrid. Peripheral blood lymphocyte subpopulations, serum immunoglobulin and complement levels were measured at one-month post-transplant. The primary and secondary outcomes were overall and bacterial infection through month six. A point score was derived from a logistic regression model and prospectively applied on a validation cohort of 522 patients undergoing kidney transplantation at 16 centers throughout Spain in 2014-2015. The SIMPLICITY score consisted of the following variables measured at month one after transplantation: C3 level, CD4(+) T-cell count, CD8(+) T-cell count, IgG level, glomerular filtration rate, recipient age, and infection within the first month. The discrimination capacity in the derivation and validation cohorts was good for overall (areas under the receiver operating curve of 0.774 and 0.730) and bacterial infection (0.767 and 0.734, respectively). The cumulative incidence of overall infection significantly increased across risk categories in the derivation (low-risk 13.7%; intermediate-risk, 35.9%; high-risk 77.6%) and validation datasets (10.2%, 28.9% and 50.4%, respectively). Thus, the SIMPLICITY score, based on easily available immune parameters, allows for stratification of kidney transplant recipients at month one according to their expected risk of subsequent infection.
引用
收藏
页码:1031 / 1043
页数:13
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