| Literature DB >> 28127387 |
Yang Shen1, Renfang Zhang2, Li Liu2, Yinzhong Shen2, Wei Song2, Tangkai Qi2, Yang Tang2, Zhenyan Wang2, Liqian Guan2, Hongzhou Lu2.
Abstract
BACKGROUND: Human Immuno-deficiency Virus (HIV) associated non-Hodgkin's lymphoma (NHL) was a special group of disease, which manifests distinct clinical features and prognosis as compared with NHLs in patients without HIV. We performed this study to describe the clinical features of the disease and investigated the potential prognostic factors.Entities:
Keywords: Human immuno-deficiency virus; International prognostic index; Lymphoma; Prognosis
Year: 2017 PMID: 28127387 PMCID: PMC5259913 DOI: 10.1186/s13027-017-0120-2
Source DB: PubMed Journal: Infect Agent Cancer ISSN: 1750-9378 Impact factor: 2.965
Characteristics of the patients
| Characteristics | DLBCL | BL | PBL and IBL |
|---|---|---|---|
| Age (years) | |||
| Median | 44 | 54 | 48 |
| Range | 24–73 | 25–73 | 33–74 |
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| Gender (%) | |||
| Male | 37 (88.1) | 27 (93.1) | 5 (83.3) |
| Female | 5 (11.9) | 2 (6.9) | 1 (6.7) |
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| Ann Arbor stage (%) | |||
| I, II | 23 (54.8) | 10 (34.5) | 3 (50.0) |
| III, IV | 19 (45.2) | 19 (65.5) | 3 (50.0) |
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| |||
| Extranodal diseases (%) | |||
| 0,1 | 33 (78.6) | 15 (51.7) | 4 (66.7) |
| > 1 | 9 (21.4) | 14 (48.3) | 2 (33.3) |
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| LDH | |||
| Median | 334 | 373 | 283 |
| Range | 139–6016 | 178–5009 | 182–739 |
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| ECOG score (%) | |||
| 0,1 | 18 (42.9) | 5 (17.2) | 3 (50.0) |
| > 1 | 24 (57.1) | 24 (82.8) | 3 (50.0) |
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| |||
| IPI (%) | |||
| 0,1 | 16 (38.1) | 5 (17.2) | 3 (50.0) |
| > 1 | 26 (61.9) | 24 (82.8) | 3 (50.0) |
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| CD4 cell count | |||
| Median | 106 | 108 | 31 |
| Range | 4–483 | 1–549 | 3–69 |
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Baseline characteristics of HIV condition of the patients
| Characteristics | |
|---|---|
| AIDS before lymphoma diagnosis (n, %) | 25 (33) |
| ART at lymphoma diagnosis (n, %) | 17 (22) |
| ART exposure from lymphoma diagnosis (months) | 12 (1–84) |
| Patients with CD4 count <200 cells/uL (n, %) | 59 (75) |
| HIV RNA < 40 copies/ml at lymphoma diagnosis (n, %) | 11 (14) |
Multivariate analysis of potential prognostic factors for the patients
| Variables | CR | OS | PFS | |||
|---|---|---|---|---|---|---|
|
| OR (95% CI) |
| OR (95% CI) |
| OR (95% CI) | |
| IPI score | <0.001 | 0.371 (0.229–0.601) | <0.001 | 2.172 (1.579–2.987) | <0.001 | 1.838 (1.406–2.402) |
| Pathology subtype | 0.038 | 0.240 (0.063–0.925) | NS | – | NS | – |
Fig. 1Kaplan-Meier curves for overall survival (OS) and progression free survival (PFS) of treated patients. a OS, (b) PFS
Fig. 2Univariate analysis of potential prognostic clinical factors. a, b Ann Arbor stage for OS and PFS. c, d Extranodal Diseases for OS and PFS
Fig. 3The usefulness of ECOG and IPI in predicting the prognosis of patients. a, b ECOG performance status for OS and PFS. c, d IPI for OS and PFS
The 2 year estimated OS and PFS rate in different subgroups
| OS (%) | PFS (%) | |
|---|---|---|
| Ann Arbor stage | ||
| I, II | 88.6 ± 6.3 | 68.6 ± 8.3 |
| III, IV | 13.0 ± 10.3 | 8.4 ± 6.7 |
| Extranodal diseases | ||
| 0, 1 | 71.7 ± 7.8 | 54.5 ± 7.4 |
| > 1 | 10.3 ± 9.5 | 0 |
| ECOG score | ||
| 0, 1 | 90.2 ± 6.6 | 73.9 ± 9.2 |
| > 1 | 51.4 ± 9.0 | 20.1 ± 6.7 |
| IPI score | ||
| 0, 1 | 95.0 ± 4.9 | 80.4 ± 8.8 |
| > 1 | 49.6 ± 8.8 | 19.9 ± 6.4 |