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

**Authors:** Elena Raffetti, Francesco Donato, Filippo Castelnuovo, Nicoletta Ladisa, Giuseppe Paraninfo, Elisa Di Filippo, Daniela Segala, Giuliana Cologni, Alessandra Bandera, Fabio Zacchi, Simona Digiambenedetto, Massimo Di Pietro, Francesco Castelli, Eugenia Quiros-Roldan

PMC · DOI: 10.1186/s12967-015-0446-8 · Journal of Translational Medicine · 2015-03-14

## TL;DR

This study examines how inflammation markers predict survival in HIV patients with non-Hodgkin lymphoma, finding several markers are linked to mortality risk.

## Contribution

The study introduces a mortality risk score based on inflammatory biomarkers for HIV-associated non-Hodgkin lymphoma patients.

## Key findings

- GPS, mGPS, PI, and PNI were independently associated with increased risk of death in HIV patients with NHL.
- A mortality risk score combining PNI and AIDS events showed moderate predictive ability with AUCs of 0.69 at 3 and 5 years.
- The study confirms the prognostic value of systemic inflammatory markers in this patient population.

## Abstract

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.

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.

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.

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

## Linked entities

- **Diseases:** non-Hodgkin lymphoma (MONDO:0018908), AIDS (MONDO:0012268)

## Full-text entities

- **Genes:** ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}
- **Diseases:** Infectious Diseases (MESH:D003141), MASTER (MESH:C000722848), metastasis (MESH:D009362), HIV-RNA (MESH:D012327), PNI (MESH:D044342), Hepatitis C Virus (HCV) co-infection (MESH:D006526), natural killer/T-cell lymphoma (MESH:D000077428), diffuse large B-cell lymphoma (MESH:D016403), Inflammation (MESH:D007249), lymphoma (MESH:D008223), co-infection (MESH:D060085), Glasgow (MESH:C536506), IPI (MESH:D000082122), hypoalbuminemia (MESH:D034141), Tumor (MESH:D009369), HBV and/or HCV co-infection (MESH:D006525), AIDS (MESH:D000163), infections (MESH:D007239), NHL (MESH:D008228), immunodeficiency (MESH:D007153), Deaths (MESH:D003643), HIV (MESH:D015658), HBV (MESH:D006509), extranodal (MESH:D000079822)
- **Chemicals:** IDU (MESH:D007065), doxorubicin (MESH:D004317), NLR (-),  (MESH:D015415)
- **Species:** Human immunodeficiency virus 1 (no rank) [taxon 11676], HCV [taxon 11103], Homo sapiens (human, species) [taxon 9606], Hepatitis B virus (no rank) [taxon 10407]

## Full text

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## Figures

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## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC4562103/full.md

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Source: https://tomesphere.com/paper/PMC4562103