| Literature DB >> 25391640 |
Michael J Cannon, Jennifer D Stowell, Rebekah Clark, Philip R Dollard, Delaney Johnson, Karen Mask, Cynthia Stover, Karen Wu, Minal Amin, Will Hendley, Jing Guo, D Scott Schmid, Sheila C Dollard.
Abstract
BACKGROUND: To better understand potential transmission risks from contact with the body fluids of children, we monitored the presence and amount of CMV shedding over time in healthy CMV-seropositive children.Entities:
Mesh:
Substances:
Year: 2014 PMID: 25391640 PMCID: PMC4240830 DOI: 10.1186/s12879-014-0569-1
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Figure 1Comparison of saliva and urine viral loads per mL across all specimens collected in longitudinal follow up. Circles are only plotted for children who were shedding; negative results (i.e., viral loads below the limit of detection) are not plotted. Blue circles represent saliva results, and yellow circles represent urine results. Shedding prevalences and viral loads are not directly comparable because the two specimen types had different PCR limits of detection, due to their different collection formats.
Risk factors for CMV shedding (yes vs. no) adjusting for within-person correlation
| Saliva | Urine | |||||
|---|---|---|---|---|---|---|
| Variable | Odds ratio (shedding) | 95% CI | P value | Odds ratio (shedding) | 95% CI | P value |
| Sex | ||||||
| Girl | 1 | 0.88 | 1 | 0.21 | ||
| Boy | 1.1 | 0.3-4.2 | 0.6 | 0.3-1.3 | ||
| Age (months) | ||||||
| >24 | 1 | 0.12* | 1 | 0.01 | ||
| 13-24 | 4.0 | 0.9-17.8 | 2.8 | 1.3-6.2 | ||
| 0-12 | 3.9 | 1.0-14.8 | 7.3 | 3.2-16.8 | ||
| Daycare attendance | ||||||
| Never | 1 | 0.13 | 1 | 0.15 | ||
| Ever | 2.4 | 0.8-7.8 | 1.8 | 0.8-3.8 | ||
*P for shedding prevalence being homogeneous across age categories.
Figure 2CMV viral loads per mL as a function of children's ages in months. Panel A shows results for saliva viral loads, and panel B shows results for urine viral loads. Circles are only plotted for children who were shedding; negative results (i.e., below the limit of detection) are not plotted. Blue circles represent saliva results, and yellow circles represent urine results. The regression line in Panel A is log10 (CMV viral load) =6.9-0.095 (age in months), with r2 = 0.39 and P < 0.001; the regression line in Panel B is log10 (CMV viral load) =4.9-0.012 (age in months), with r2 = 0.05 and P = 0.003.
Figure 3CMV viral shedding among individual children by specimen type over the course of the study.
Correlation of CMV shedding from one visit to the next
| Shedding status by specimen: |
|
| Risk ratio | 95% Confidence interval | |
|---|---|---|---|---|---|
| Weekly visits | Urine | 37/76 (49) | 33/293 (11) | 4.3 | 2.9-6.4 |
| Saliva | 211/235 (90) | 17/149 (11) | 7.9 | 5.0-12.3 | |
| Either specimen | 218/245 (90) | 18/132 (14) | 6.5 | 4.2-10.1 | |
| Daily visits | Urine | 47/91 (52) | 44/354 (12) | 4.2 | 3.0-5.9 |
| Saliva | 229/267 (86) | 24/174 (14) | 6.2 | 4.3-9.1 | |
| Either specimen | 235/276 (85) | 25/161 (16) | 5.5 | 3.8-7.9 | |
Figure 4CMV viral load among individual children over the course of the study. Viral load was determined by taking the highest value of the saliva or urine viral load. Saliva viral load was highest in 801 of the 858 patient visits that had available results.
Figure 5CMV shedding prevalences and viral loads over time. Panel A: Group mean and median CMV viral loads in saliva by visit number. Panel B: CMV shedding prevalences in saliva by visit number. Panel C: Group mean and median CMV viral loads in urine by visit number. Panel D: CMV shedding prevalences in urine by visit number.
Figure 6Histogram of changes in CMV viral load category from one visit to the next for saliva and urine. For example, a visit with a viral load in the 105-106 copies/mL category that was followed by a visit with a viral load in that same category would be added to the "zero" column of the histogram. On the other hand, if the visit was followed by a visit with a viral load in the 106-107 copies/mL category or the 104-105 copies/mL category, it would be added to the "one" column of the histogram.