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Clinical implication of peripheral CD4+T cell counts in patients with severe pulmonary infection in the early stage after kidney transplantation

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Author:
No author available
Journal Title:
CHINESE JOURNAL OF ORGAN TRANSPLANTATION
Issue:
6
DOI:
10.3760/cma.j.issn.0254-1785.2009.06.004
Key Word:
肾移植;CD4淋巴细胞计数;肺;感染;Kidney transplantation;CD4+ lvmphocyte count;Lung;Infection

Abstract: Objective To explore the clinical implication of peripheral blood CD4+ T-cell counts in renal allograft recipients with severe pulmonary infection in the early stage after kidney transplantation. Methods From February 2007 to June 2008, we investigated the variation of peripheral blood CD4+ T-cell counts using flow cytometry in 28 cases of severe pulmonary infection 1 ~6 months after kidney transplantation (infection group), and 30 cases (control group) randomly selected that had stable situation and normal kidney function in the same period. Results CD4+ T-cell counts on the day of admission in infection group were significantly lower than in control group (184.1 ±117.5/μl vs. 518.6±232.7/μl, P<0.01 ). In infection group, 5 patients died and 4 of them had obviously declining trends of CD4+ T-cell counts during hospitalization course. Comparing to the day of admission, CD4+ T-cell counts of those survivors in infection group were significantly increased (184.1±117.5/μl vs. 406.5±163.9/μl, P<0.01) when infections were controlled. ROC analysis showed that CD4+ T-cell counts on the day of admission were accurate enough to identify who were susceptible to infection. In detail, the area under the curve (AUC) was 94.9% (P<0.01). CD4+ T-cell counts of 220/μl displayed the minimal misdiagnosis rate. Conclusions The variations of CD4+ T-cell counts are correlated to onset and progression of severe pulmonary infection in the early stage after kidney transplantation. Those who had CD4+ T-cell counts lower than 220/μl were at high risk of pulmonary infection. Direct measure and dynamic analysis of CD4+ T-cell subset have an important role in optimizing treatment and predicting prognosis of severe pulmonary infection in the early stage after kidney transplantation.

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