| Literature DB >> 31485350 |
Sakis Lambrianides1, Christiana A Demetriou2, Andis Tillyris1, Elena Kkolou1, Eftychia Gaglia1, Eleni Agkastinioti1, Eleni Leonidou1, Yiolanda-Panayiota Christou1, Savvas S Papacostas1, Kleopas A Kleopa1, Theodoros Kyriakides1, Marios Pantzaris1.
Abstract
BACKGROUND ANDEntities:
Year: 2019 PMID: 31485350 PMCID: PMC6710779 DOI: 10.1155/2019/3741260
Source DB: PubMed Journal: Neurol Res Int ISSN: 2090-1860
Demographic and clinical characteristics of the cohort (n = 214).
| Characteristics | Descriptive statistics |
|---|---|
| Age (years) | |
| Mean ± SD | 38.5 ± 10.7 |
| Median (range) | 38 (16–70) |
| Gender, | |
| Male | 70 (32.7%) |
| Female | 144 (67.3%) |
| Anti-JCV antibody seropositivity, | |
| Negative | 116 (54.2%) |
| Positive | 98 (45.8%) |
SD: standard deviation.
Figure 1Anti-JCV antibody prevalence by patient demographics: (a) gender and (b) age. The number of patients in each group is shown in the legend of each bar, and vertical bars represent 95% confidence intervals. The $P value comparing seroprevalence across all demographic variable categories was determined from univariate logistic regression analysis with anti-JVC seropositivity as the outcome. The £P value comparing each age group with the baseline (age ≤ 29) was determined from univariate logistic regression analysis with anti-JVC seropositivity as the outcome. Statistically significant P value.
Clinical characteristics of the anti-JCV antibody seropositive group (n = 98).
| Characteristics | Descriptive statistics |
|---|---|
| Age (years) | |
| Mean ± SD | 39.6 ± 10.4 |
| Median (range) | 38 (16–70) |
| Gender, | |
| Male | 29 (29.6%) |
| Female | 69 (70.4%) |
| JCV_AI_index | |
| ≤0.9 | 9 (18.4%) |
| >0.9– ≤ 1.5 | 3 (6.1%) |
| >1.5 | 37 (75.5%) |
The antibody index of 49 subjects was not known; therefore, statistics apply to n = 49.
Analysis of the JCV_AI_index of seropositive patients with a JVC AI index (n = 49) according to prespecified demographics.
| Variables | ≤0.9 | >0.9– ≤ 1.5 | >1.5 |
|
|---|---|---|---|---|
| Mean age | 40.8 ± 7.6 | 39.7 ± 3.5 | 38.3 ± 10.2 | 0.587 |
| Age categories | ||||
| Age < 30 years | 1 (14.3%) | 0 (0.0%) | 6 (85.7%) | |
| Age ≥ 30 years | 7 (17.9%) | 3 (7.7%) | 29 (74.4%) | 0.999 |
| Gender | ||||
| Male | 4 (28.6%) | 1 (7.1%) | 9 (64.3%) | |
| Female | 5 (14.3%) | 2 (5.7%) | 28 (80.0%) | 0.454 |
$ P value from the Kruskal–Wallis test for mean age and Fisher's exact test for categorical variables. Age was missing for 3 patients with a JCV AI index.
Analysis of seroconversion patterns among patients on natalizumab therapy (n = 121).
| No. of patients (%) | Follow-up time (mean ± SD, person-years) | Annual conversion rate | Mean (SD) duration of natalizumab intake (years) | |
|---|---|---|---|---|
| Seroconversion negative to positive | 14 (11.6) | 3.10 ± 1.96 | 4.5% | 4.5 (2.3) |
| Seroconversion positive to negative | 5 (4.1) | 1.63 ± 1.96 | 1.7% | 5.2 (2.2) |
| Alternate seroconversions | 5 (4.1) | Not available≠ | Not available≠ | 4.3 (2.1) |
≠Information not available since several events per patient (alternate seroconversions) do not permit assignment of a specific follow-up time, thus making the calculation of an annual conversion rate impossible.