The prognostic role of systemic inflammatory markers on HIV-infected patients with non-Hodgkin lymphoma, a multicenter cohort study

J Transl Med. 2015 Mar 14:13:89. doi: 10.1186/s12967-015-0446-8.

Abstract

Background: The systemic inflammatory response has been postulated as having prognostic significance in a wide range of different cancer types. We aimed to assess the prognostic role of inflammatory markers on survival in HIV-infected patients with Non-Hodgkin Lymphoma (NHL), and to compute a prognostic score based on inflammatory biomarkers.

Methods: We evaluated data on HIV patients with NLH diagnosis between 1998 and 2012 in a HIV Italian Cohort. Using Cox proportional regression model, we assessed the prognostic role of Neutrophil-Lymphocyte Ratio (NLR), Platelet-Lymphocyte Ratio (PLR), Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), Prognostic Index (PI), and Prognostic Nutritional Index (PNI). We also computed a risk score equation, assigning patients to a derivation and a validation sample. The area under the curve (AUC) was use to evaluate the predictive ability of this score.

Results: 215 non-Hodgkin lymphoma cases (80.0% males) with a mean age of 43.2 years were included. Deaths were observed in 98 (45.6%) patients during a median follow up of 5 years. GPS, mGPS, PI and PNI were independently associated with risk of death. We also computed a mortality risk score which included PNI and occurrence of an AIDS event within six months from NHL diagnosis. The AUCs were 0.69 (95% CI 0.58 to 0.81) and 0.69 (95% CI 0.57 to 0.81) at 3 and 5 years of the follow-up, respectively.

Conclusions: GPS, mGPS, PI and PNI are independent prognostic factors for survival of HIV patients with NHL.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Area Under Curve
  • Biomarkers / metabolism
  • Blood Platelets / cytology
  • Cohort Studies
  • Female
  • Follow-Up Studies
  • HIV Infections / complications*
  • HIV Infections / immunology
  • Humans
  • Inflammation / metabolism*
  • Lymphocytes / cytology
  • Lymphoma, Non-Hodgkin / complications*
  • Lymphoma, Non-Hodgkin / immunology*
  • Male
  • Middle Aged
  • Neutrophils / cytology
  • Nutritional Status
  • Prognosis
  • Proportional Hazards Models
  • ROC Curve
  • Regression Analysis

Substances

  • Biomarkers