Background
The role of histo-blood group on the burden and severity of norovirus gastroenteritis in young infants has not been well documented.
Methods
Norovirus gastroenteritis was assessed in 443 Nicaraguan children followed from birth until 3 years of age. Stool samples were tested for norovirus by RT-qPCR and histo-blood group antigens (HBGA) were determined by phenotyping of saliva and blood. Hazards ratios (95% CI) and predictors of norovirus AGE outcome stratified by HBGA were estimated using Cox proportional hazards models.
Results
Of 1,353 AGE episodes experienced by children, 229 (17%) tested positive for norovirus with an overall incidence of 21.9/100 child-years. Secretor children were infected as early as 2 months old and had a higher incidence of norovirus GII compared to non-secretor children (15.4 vs 4.1/100 child-years, P = 0.006). Furthermore, all GII.4 AGE episodes occurred in secretor children. Children infected with GI (adjusted OR=0.09, 95% CI 0.02-0.33) or non-GII.4 viruses (adjusted OR=0.2, 95% CI: 0.07-0.6) were less likely to have severe AGE compared to GII.4 infected children.
Conclusion
Secretor status in children strongly influences the incidence of symptomatic norovirus infection in a genogroup or genotype-dependent manner and provides evidence that clinical severity in children depends on norovirus genotypes.
Background:
Sapovirus is increasingly recognized as an important cause of acute gastroenteritis (AGE) in children. We identified risk factors and characterized the clinical profile of sapovirus AGE in a birth cohort in León, Nicaragua.
Methods:
We conducted a case-control study nested within a birth cohort (n = 444). Fieldworkers conducted weekly household AGE surveillance. AGE stools were tested for sapovirus by reverse transcriptase quantitative polymerase chain reaction. For each first sapovirus episode, we selected 2 healthy age-matched controls and estimated independent risk factors of sapovirus AGE using conditional logistic regression. We compared clinical characteristics of sapovirus AGE episodes with episodes associated with other etiologies and identified co-infections with other enteric pathogens.
Results:
From June 2017 to July 2019, we identified 63 first sapovirus AGE episodes and selected 126 controls. Having contact with an individual with AGE symptoms and vaginal delivery were independent risk factors for sapovirus AGE. All cases experienced diarrhea, lasting a median 6 days; 23% experienced vomiting. Compared with children with AGE due to another etiology, sapovirus AGE was similar in severity, with less reported fever. Most cases experienced co-infections and were more likely than controls to be infected with diarrheagenic Escherichia coli or astrovirus.
Conclusions:
Sapovirus was a commonly identified AGE etiology in this Central American setting, and symptoms were similar to AGE associated with other etiologies. The association between vaginal delivery and sapovirus is a novel finding. Gut microbiome composition might mediate this relationship, or vaginal delivery might be a proxy for other risk factors. Further investigation into more specific biological mechanisms is warranted.
In a Nicaraguan population-based cohort, SARS-CoV-2 seroprevalence was 34%, with higher prevalence in children compared to adults. Having a seropositive household member was associated with a two-fold probability of individual seropositivity, suggesting a role for household transmission. Co-morbidities and preventive behaviors were not associated with SARS-CoV-2 seroprevalence.
In a Nicaraguan population-based cohort, SARS-CoV-2 seroprevalence reached 28% in the first six months of the country's epidemic and reached 35% six months later. Immune waning was uncommon.Individuals with a seropositive household member were over three times as likely to be seropositive themselves, suggesting the importance of household transmission.
Validity of the information 4. Was the likelihood of non-response bias minimal?
Yes (LOW RISK):The response rate for the study was >/=75%, OR, an analysis was performed that showed no significant difference in relevant demographic characteristics between responders and non-responders.
No (HIGH RISK):The response rate was <75%, and if any analysis comparing responders and non-responders was done, it showed a significant difference in relevant demographic characteristics between responders and non-responders. 5. Were data collected directly from the subjects (as opposed to a proxy)?Yes (LOW RISK): All data were collected directly from the subjects.
No (HIGH RISK):In some instances, data were collected from a proxy.
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