2017
DOI: 10.1016/j.jpedp.2016.12.002
|View full text |Cite
|
Sign up to set email alerts
|

Impact and seasonality of human rhinovirus infection in hospitalized patients for two consecutive years

Abstract: Objectives: To report epidemiological features, clinical characteristics, and outcomes of human rhinovirus (HRV) infections in comparison with other community acquired respiratory virus (CRV) infections in patients hospitalized for two consecutive years. Methods: This was a cross-sectional study. Clinical, epidemiological, and laboratory data of patients hospitalized with acute respiratory syndrome in a tertiary care hospital from 2012 to 2013 were reviewed. Results: HRV was the most common CRV observed (36%, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

3
9
0
1

Year Published

2018
2018
2022
2022

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(13 citation statements)
references
References 20 publications
3
9
0
1
Order By: Relevance
“…14 The third similarity was the high rate of viral coinfections (28.3%) ( Figure 1B) which was similar to rates observed in a study from Curitiba, southern Brazil (29.0%) 19 and in a Kenyan slum community (27.0%). 20 Our data also point to the predominance of HRV in cases of coinfections (30 of 52 coinfections, 58.0%), a feature similarly reported in a study conducted in Brazil (69.0% of all coinfections) 19 that is likely influenced by the overall high number of HRV infections. Albeit not statistically significant, HRV, hRSV, and FLU were commonly detected as monoinfections (67.7%, 73.5%, and 76.9% respectively; P > .05 for all three viruses), whereas HCoV, AdV, hPiV, EV, and hPeV were significantly more frequently detected as coinfections (53.8%, 61.1%, 66.7%, 80.8%, and 83.3%, respectively; P < .05 for all) ( Figure 1C).…”
Section: Resultssupporting
confidence: 82%
See 3 more Smart Citations
“…14 The third similarity was the high rate of viral coinfections (28.3%) ( Figure 1B) which was similar to rates observed in a study from Curitiba, southern Brazil (29.0%) 19 and in a Kenyan slum community (27.0%). 20 Our data also point to the predominance of HRV in cases of coinfections (30 of 52 coinfections, 58.0%), a feature similarly reported in a study conducted in Brazil (69.0% of all coinfections) 19 that is likely influenced by the overall high number of HRV infections. Albeit not statistically significant, HRV, hRSV, and FLU were commonly detected as monoinfections (67.7%, 73.5%, and 76.9% respectively; P > .05 for all three viruses), whereas HCoV, AdV, hPiV, EV, and hPeV were significantly more frequently detected as coinfections (53.8%, 61.1%, 66.7%, 80.8%, and 83.3%, respectively; P < .05 for all) ( Figure 1C).…”
Section: Resultssupporting
confidence: 82%
“…Both attributes were previously reported in studies conducted in temperate and tropical regions of Brazil (~60.0%), 18,19 in a slum community from Kenya (71.0%), 20 and in a German cohort (56.6%). 14 The second similarity was the predominance of HRV (33.0%) and hRSV (12.1%) detections (Table 1), also observed in hospitalized patients in distinct cities of Brazil, in a slum community in Kenya [18][19][20] and in German children. 14 The third similarity was the high rate of viral coinfections (28.3%) ( Figure 1B) which was similar to rates observed in a study from Curitiba, southern Brazil (29.0%) 19 and in a Kenyan slum community (27.0%).…”
Section: Resultssupporting
confidence: 75%
See 2 more Smart Citations
“…This finding could be explained by the genetic factors described in both genders. 20 Despite the fact that RSV A/B is frequent worldwide and its distribution is consistent with a variety of reports in both developing and developed countries, RV has been increasingly reported by previous studies [21][22][23] and was the most frequently detected pathogen in the present study. Its high prevalence makes its infection more serious.…”
supporting
confidence: 91%