| Literature DB >> 31260455 |
Mark F Cotton1, Helena Rabie1, Elisa Nemes2, Hilda Mujuru3, Raziya Bobat4, Boniface Njau5, Avy Violari6, Vidya Mave7, Charles Mitchell8, James Oleske9, Bonnie Zimmer10, George Varghese11, Savita Pahwa11.
Abstract
BACKGROUND: The immune reconstitution inflammatory syndrome (IRIS) in HIV-infected infants and young children is relatively understudied in regions endemic for HIV and TB. We aimed to describe incidence, clinical features and risk factors of pediatric IRIS in Sub-Saharan Africa and India. METHODS ANDEntities:
Mesh:
Year: 2019 PMID: 31260455 PMCID: PMC6602181 DOI: 10.1371/journal.pone.0211155
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Criteria for diagnosing paradoxical and unmasking IRIS.
| Unmasking IRIS |
|---|
| Clinical criteria |
Fig 1Algorithm for evaluating IRIS events.
Baseline characteristics associated with IRIS.
| All | No IRIS | IRIS | Univariate | Multivariate logistic regression* | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Number | 198 | 160 | 38 | |||||||
| All IRIS | Paradoxical IRIS (n = 27) | Unmasking IRIS (n = 11) | ||||||||
| P-value | OR (95% CI) | P-value | OR | P-value | OR | P-value | ||||
| SU versus other sites | 0.0004 | 0.395 (0.158–0.987) | 0.0468 | 0.77 (0.259–2.291) | 0.639 | 0.106 (0.0187–0.604) | 0.0115 | |||
| 1. SU | 79 (39.9%) | 54 (33.8%) | 25 (65.8%) | |||||||
| 2. PHRU | 19 (9.5%) | 19 (11.9%) | 0 (0%) | |||||||
| 3. UKZN | 25 (12.6%) | 22 (13.8%) | 3 (7.9%) | |||||||
| 4. UZ | 50 (25.2%) | 42 (26.3%) | 8 (21.1%) | |||||||
| 5. KCMC | 20 (2.5%) | 19 (11.9%) | 1 (2.6%) | |||||||
| 6. BJMC | 5 (2.5%) | 4 (2.5%) | 1 (2.6%) | |||||||
| Median (IQR) age (years) | 1.2 (0.5;2.3) | 1.3 (0.6;2.3) | 0.7 (0.3;1.8 | 0.0239 | ||||||
| <1 year of age | 90 (45.5%) | 66 (41.3) | 24 (63.2) | 0.018 | 1.642 (0.584–4.619) | 0.347 | 3.868 (1.088–13.75) | 0.037 | 0.25 (0.045–1.37) | 0.063 |
| Male | 104 (52.5%) | 82 (51.3%) | 22 (57.9%) | 0.477 | ||||||
| Median (IQR) WAZ | -1.65 (-2.89;-0.65) n = 178 | -1.58 (-2.81;-0.50) n = 144 | -1.91 (-3.19;-1.15) n = 34 | 0.176 | ||||||
| Median (IQR) HAZ | -1.54 (-2.28;-0.64) n = 188 | -1.51 (-2.26;-0.60) n = 154) | -1.80 (-2.47;-0.84) n = 34 | 0.284 | ||||||
| Median (IQR) WHZ | -0.80 (-2.09;0.08) n = 178 | -0.80 (-1.96;0.81) n = 143 | -0.71 (-2.53;0.08) n = 35 | 0.85 | ||||||
| WHO Stages | ||||||||||
| Stage 1 | 45 (23%) | 41 (25.9%) | 4 (10.5%) | 0.136 | ||||||
| Stage 2 | 30 (15.3%) | 25 (15.8%) | 5 (13.2%) | |||||||
| Stage 3 | 100 (51%) | 77 (48.7%) | 23 (60.5%) | |||||||
| Stage 4 | 21 (10.7%) | 15 (9.5%) | 6 (15.8%) | |||||||
| Stage 1 versus 2,3,4 | 0.053 | |||||||||
| TB prior to baseline | 42 (21.2%) | 28 (17.5%) | 14 (36.8%) | 0.0141 | ||||||
| IPT at baseline | 12 (6.1%) | 10 (6.3%) | 2 (5.26%) | 1 | ||||||
| Current anti-TB treatment | 33 (16.67%) | 20 (12.5%) | 13 (34.2%) | 0.0029* | 0.336 (0.11–1.024) | 0.0551 | 0.259 (0.067–0.999) | 0.0498 | 0.851 (0.185–3.916) | 0. 836 |
| Corticosteroids | ||||||||||
| 1. Any (topical or systemic) corticosteroids | 26 (13.1%) | 15 (9.4%) | 11 (29%) | 0.0025 | 0.452 (0.56–1.315) | 0.145 | 0.506 0.153–1.672) | 0.264 | 0.489 (0.103–2.32) | 0.368 |
| 2. Systemic only | 10 (50.1%) | 4 (1.9%) | 6 (15.8%) | 0.004 | ||||||
| CD4+% (Median/ IQR) | 19.6 (13.9;27.3) n = 194 | 20.1 (14.6;27.7) n = 157 | 16.7 (11.8; 21.7) n = 37 | 0.0152 | ||||||
| CD4+ (cells/mm3) (Median/IQR) | 1068(599; 1784) | 1188 (618; 1862) | 838 (223; 1259) | 0.0115 | 10.609 (0.758–148.55) | 0.08 | 57.62 (1.997–1662) | 0.0181 | 0.195 | 0.411 |
| Plasma HIV-RNA | 5.91 (5.33; 6.47) | 5.8(5.24; 6.34) | 6.32 (5.84; 6.81) | <0.0001 | 0.0093 (0.0005–0.189) | 0.0023 | 0.0033 (0.00008–0.1426) | 0.0029 | 0.212 (0.003–12.966 | 0.47 |
OR–Odds ratio (*For IRIS = Yes, odds of No versus Yes); P-values for full model on multinomial logistic regression: All IRIS–p <0.0001; paradoxical IRIS–p <0.0001; unmasking IRIS–p = 0.053
∉ P-values derived from parameter estimates
CI–Confidence interval; IQR–interquartile range; WAZ–weight for age Z-score; HAZ–Height for age Z-score; WHZ–weight for height Z-score; IPT–isoniazid prevention treatment
# SID 1228 site unmasking TB IRIS
∏ WHO staging not assigned in 2 without IRIS.
Ø 8 plasma HIV RNA levels from baseline unavailable in participants without IRIS.
Fig 2Types of paradoxical and unmasking IRIS.
In dermatological IRIS, 1 case of Zoster IRIS was considered unmasking. BCG–Bacille Calmette Guérin, TB–tuberculosis, CMV–cytomegalovirus, CM–cryptococcal meningitis.
Fig 3Distribution of IRIS events in participants.
Events during study.
| Characteristic | All | No IRIS | IRIS present | P value |
|---|---|---|---|---|
| During study | ||||
| Weeks on study | 48 (28.5; 48) | 48 (24; 48) | 48 (45–49) | 0.165 |
| Commenced IPT | 3 (1.5%) | 2 (1.25%) | 1 (2.63%) | 0.7 |
| TB | ||||
| Began TB treatment | 15 (7.4%) | 6 (3.75%) | 9 (23.7%) | 0.0003 |
| TB IRIS | 6 (15.8%) | |||
| Other IRIS (including BCG) | 2 (5.3%) | 0.17 | ||
| Death | 9 (4.5%) | 6 (3.8%) | 3 (7.9%) | 0.378 |
| Non-IRIS infectious or inflammatory events from day 4 to day 17 | 40 (20.2%) | 24 (15.2%) | 14 (35%) | 0.0007 |
# 4 children lost to follow-up after baseline visit excluded
* Fisher’s exact two-tail test
§ 6 of 9 in IRIS group commencing anti-TB therapy had unmasking TB IRIS; 3 participants had non-TB IRIS events–oral candidiasis; BCG and oral candidiasis; and CMV colitis
Anthropometry, CD4 data and HIV viral loads at study end for those completing ≥20 weeks on study.
| N = 170 | N = 136 | N = 34 | ||
|---|---|---|---|---|
| WAZ median (IQR) | -1.07 (-1.92;-0.09) n = 168 | -1.06 (-1.78; -0.07) n = 135 | -1.25 (-2.44;-0.44) n = 33 | 0.28 |
| HAZ median (IQR) | 1.31 (-1.94; -0.49) N = 168 | -1.31 (-2.11; -0.48) n = 134 | -1.35 (-1.81; -0.50) | 099 |
| WHZ median (IQR) | -0.16 (-1.05; -0.52) n = 166 | -0.17 (-1.03;0.50) n = 133 | -0.11 (-1.34;0.66) n = 33 | 0.67 |
| CD4+ % | 30.3 (24.1; 36.5) | 31 (25.3; 37.9) n = 119 | 27.4 (20.75; 32.02) n = 34 | 0.0173 |
| CD4+ cells/mm3 | 1598 (1195; 2201) | 1582 (1168; 2194) | 1679 (1366; 2216) | 0.49 |
| Plasma HIV-RNA Log10copies/mm3 | 1.96 (1.7; 3.1) | 1.94 (1.7; 3.09) | 2.3 (1.7: 3.67) | 0.47 |
| Plasma HIV-RNA <400 copies/mm3 | 91(53.5%) | 101 (64.3%) | 28 (68.3%) | 0.39 |
| WAZ | 0.60 (-0.27;1.65) n = 169 | 0.42(-0.3;1.76) n = 124 | 0.74(0.17;1.52) | 0.27 |
| HAZ | 0.25 (-0.17;0.83) n = 159 | 0.24(-0.22;0.7) n = 128 | 0.48(0.03;1.31) n = 31 | 0.087 |
| WHZ | 0.42 (-0.57;2.07) n = 153 | 0.49(-0.56;2.06) n = 122 | 0.35(-1.07;2.11) n = 31 | 0.69 |
| CD4+ % | 8.5 n = 150 | 8 (3.13;14) n = 116 | 9.25 (4.7; 13.63) n = 34 | 0.90 |
| CD4+ cells/mm3 | 498 (16.3; 1071) | 372 (-17,5; 971) | 868 (320; 1352) | 0.015 |
| Plasma HIV-RNA Log10copies/mm3 | 3.59 (4.22; 2.4) | 3.49 (-4.14; -2.38) | 4.01 (-4.51; -2.75) | 0.052 |