Understanding the immune signature fingerprint of peritoneal dialysis–related peritonitis

Although acute peritonitis is a common and severe complication associated with peritoneal dialysis, the culture-based test used as the diagnostic criterion for this disease is often too slow to allow appropriate point-of-care diagnosis of specific bacterial infection. To address this problem, Zhang...

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Veröffentlicht in:Kidney international 2017-07, Vol.92 (1), p.16-18
Hauptverfasser: Takeuchi, Tadashi, Ohno, Hiroshi, Satoh-Takayama, Naoko
Format: Artikel
Sprache:eng
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Zusammenfassung:Although acute peritonitis is a common and severe complication associated with peritoneal dialysis, the culture-based test used as the diagnostic criterion for this disease is often too slow to allow appropriate point-of-care diagnosis of specific bacterial infection. To address this problem, Zhang et al. report the efficacy of a novel set of immune biomarkers derived from a machine-learning algorithm applied to patient data. This fingerprint could predict major pathogenic causes of peritonitis.
ISSN:0085-2538
1523-1755
DOI:10.1016/j.kint.2017.02.027