| Literature DB >> 31108552 |
Douglas A Jabs1,2,3, Mark L Van Natta3, Garrett Trang4, Norman Jones4, Jeffrey M Milush4, Ryan Cheu5, Nichole R Klatt6, Jeong Won Pak7, Ronald P Danis7, Peter W Hunt4.
Abstract
Purpose: To evaluate relationships among retinal vascular caliber and biomarkers of systemic inflammation in patients with AIDS.Entities:
Mesh:
Substances:
Year: 2019 PMID: 31108552 PMCID: PMC6528842 DOI: 10.1167/iovs.18-26070
Source DB: PubMed Journal: Invest Ophthalmol Vis Sci ISSN: 0146-0404 Impact factor: 4.799
Characteristics of the Study Population of Persons with AIDS
| Design variable | |
| Age-related macular degeneration, | 150 (33.0) |
| No age-related macular degeneration, | 304 (67.0) |
| Demographics | |
| Age (y), mean ± SD | 43.3 ± 9.9 |
| Sex, | |
| Men | 351 (77.3) |
| Women | 103 (22.7) |
| Race, | |
| White | 180 (39.6) |
| Black | 190 (41.8) |
| Other | 84 (18.5) |
| Smoking history, | |
| Never smoker | 146 (38.9) |
| Former smoker | 127 (33.9) |
| Current smoker | 102 (27.2) |
| Comorbidity, | |
| Hypertension | 112 (24.7) |
| Diabetes | 40 (8.8) |
| Hyperlipidemia | 97 (21.4) |
| Cardiovascular disease | 58 (15.4) |
| Renal disease (elevated serum creatinine) | 26 (5.7) |
| HIV treatment, | |
| On antiretroviral therapy at enrolment | 390 (85.9) |
| Received antiretroviral therapy at or before enrolment | 423 (93.2) |
| Virology/Immunology | |
| HIV load (log10(copies/mL)) | |
| Mean | 3.2 ± 1.4 |
| Distribution, | |
| | 164 (38.8) |
| >2.6 to 3.0 | 76 (18.0) |
| >3.0 | 183 (43.3) |
| CD4+ T cells (cells/μL) | |
| Median (25th, 75th percentile) | 214 (93, 361) |
| Distribution, | |
| <100 | 117 (25.9) |
| 100–199 | 95 (21.0) |
| 200–499 | 185 (40.9) |
| | 55 (12.2) |
| Inflammatory biomarkers* (mean | |
| CRP (log10[mg/L]) | 0.33±0.60 |
| IL-6 (log10[pg/mL]) | 0.34±0.40 |
| IP-10 (log10[pg/mL])) | 2.37±0.38 |
| sCD14 (log10[μg/mL])) | 0.42±0.12 |
| sCD163 (log10[ng/mL])) | 2.82±0.25 |
| KT ratio (log10[ratio]) | 1.76±0.29 |
| I-FABP (log10[pg/mL]) | 3.15±0.32 |
CRP, C-reactive protein; IL-6, interleukin-6; IP-10, interferon-γ inducible protein-10; sCD14, soluble CD14; sCD163, soluble CD163; KT ratio, kynurenine tryptophan ratio; I-FABP, intestinal fatty acid binding protein.
Demographics, Comorbidities, HIV Treatment, Virologic, and Immunologic Variables and Retinal Vascular Caliber in Persons With AIDS
| Design | 0.001 | <0.001 | |||||
| AMD | 150 | 151 | 16 | 229 | 23 | ||
| No AMD | 304 | 146 | 17 | 220 | 24 | ||
| Demographics | |||||||
| Age, y | <0.001 | 0.07 | |||||
| <55 | 356 | 149 | 16 | 224 | 23 | ||
| | 98 | 141 | 17 | 219 | 27 | ||
| Sex | <0.001 | 0.05 | |||||
| Male | 351 | 146 | 16 | 222 | 25 | ||
| Female | 103 | 153 | 16 | 227 | 21 | ||
| Race | <0.001 | <0.001 | |||||
| Black | 190 | 151 | 18 | 230 | 23 | ||
| White | 180 | 143 | 15 | 218 | 24 | ||
| Other | 84 | 148 | 15 | 221 | 22 | ||
| Smoking history | 0.15 | 0.001 | |||||
| Never | 146 | 144 | 16 | 218 | 26 | ||
| Former | 127 | 148 | 16 | 229 | 23 | ||
| Current | 102 | 148 | 18 | 222 | 23 | ||
| Missing | 79 | 150 | 16 | 226 | 22 | ||
| Comorbidity | |||||||
| Hypertension | 0.01 | 0.26 | |||||
| Absent | 342 | 149 | 17 | 224 | 24 | ||
| Present | 112 | 144 | 15 | 221 | 23 | ||
| Diabetes | 0.72 | 0.45 | |||||
| Absent | 414 | 147 | 17 | 223 | 24 | ||
| Present | 40 | 147 | 17 | 226 | 24 | ||
| Hyperlipidemia | 0.12 | 0.008 | |||||
| Absent | 357 | 148 | 17 | 224 | 24 | ||
| Present | 97 | 145 | 15 | 218 | 24 | ||
| Cardiovascular disease | 0.03 | 0.28 | |||||
| Absent | 319 | 147 | 17 | 223 | 24 | ||
| Present | 58 | 142 | 16 | 219 | 24 | ||
| Renal disease | 0.09 | 0.38 | |||||
| Absent | 428 | 148 | 17 | 224 | 24 | ||
| Present | 26 | 142 | 17 | 219 | 29 | ||
| HIV treatment | |||||||
| Enrolment | 0.05 | 0.005 | |||||
| On ART | 390 | 147 | 17 | 222 | 25 | ||
| Not on ART | 64 | 151 | 16 | 231 | 19 | ||
| ART at or prior to enrolment | 0.29 | 0.10 | |||||
| Ever received | 423 | 147 | 17 | 223 | 24 | ||
| Never received | 31 | 150 | 17 | 230 | 17 | ||
| Virology/immunology | |||||||
| HIV load (log10(copies/mL)) | 0.04 | 0.13 | |||||
| >2.6 | 260 | 149 | 16 | 225 | 23 | ||
| | 163 | 146 | 17 | 221 | 25 | ||
| CD4+ T cells | 0.71 | 0.79 | |||||
| <200 cells/μL | 212 | 148 | 17 | 224 | 24 | ||
| | 240 | 147 | 16 | 223 | 24 | ||
Simple Linear Regression of Retinal Vascular Caliber on Plasma Inflammatory Biomarkers in Persons With AIDS
| CRP | 400 | 1.3 | −0.3, 2.9 | 0.11 | 3.7 | 1.4, 6.0 | 0.002 |
| IL-6 | 451 | 0.6 | −0.9, 2.1 | 0.44 | 3.7 | 1.6, 5.8 | 0.001 |
| IP-10 | 448 | 0.5 | −1.0, 2.0 | 0.51 | 2.8 | 0.6, 5.0 | 0.01 |
| sCD14 | 452 | −0.3 | −1.9, 1.3 | 0.70 | 0.8 | −1.6, 3.1 | 0.53 |
| sCD163 | 454 | −0.6 | −2.2, 0.9 | 0.44 | 1.1 | −1.1, 3.3 | 0.32 |
| KT ratio | 429 | −2.0 | −3.6, −0.4 | 0.02 | −0.9 | −3.3, 1.5 | 0.45 |
| I-FABP | 450 | −0.6 | −2.1, 0.9 | 0.44 | −1.1 | −3.3, 1.2 | 0.34 |
Slope in μm/standardized unit. Standardized unit: standard deviation log10(plasma biomarker level).
Figure 1Linear regression of central retinal artery equivalent (CRAE) on (a) age, (b) CRP, (c) IL-6, (d) IP-10, (e) sCD14, (f) soluble CD163 (sCD163), (g) KT ratio, (h) I-FABP.
Figure 2Linear regression of CRVE on (a) age, (b) CRP, (c) IL-6, (d) IP-10, (e) sCD14, (f) sCD163, (g) KT ratio; (h) I-FABP.
Multiple Linear Regression* of Retinal Vascular Caliber in Persons with AIDS
| AMD (yes vs. no) | 9.1 | 5.2, 12.9 | <0.001 | 10.9 | 5.3, 16.6 | <0.001 |
| Race | <0.001 | <0.001 | ||||
| Black vs. white | 9.7 | 5.6, 13.8 | 12.4 | 6.4, 18.4 | ||
| Black vs. other | 1.7 | −3.1, 6.5 | 6.5 | −0.5, 13.5 | ||
| Sex, male vs. female | −3.6 | −8.2, 0.9 | 0.12 | −0.8 | −7.2, 5.7 | 0.82 |
| Hyperlipidemia | −7.5 | −13.7, −1.2 | 0.02 | |||
| Cardiovascular disease | −5.2 | −10.3, −0.1 | 0.05 | |||
| Continuous Variables | Slope | 95% CI | Slope | 95% CI | ||
| Age, y | −0.26 | −0.46, −0.06 | 0.009 | −0.25 | −0.53, 0.03 | 0.08 |
| IL-6, standardized unit‡ | 5.3 | 2.7, 8.0 | <0.001 | |||
Based on forward selection with P = 0.05 for entry using 18 candidate variables and forcing age, race, and sex into the model (see text) among 297 participants with complete data.
Mean Δ = mean difference for categorical variables. Slope = slope of the regression line for continuous variables.
Standardized unit = standard deviation log10(plasma biomarker level).