Author: Ayeni, Oluwatosin A.; Walaza, Sibongile; Tempia, Stefano; Groome, Michelle; Kahn, Kathleen; Madhi, Shabir A.; Cohen, Adam L.; Moyes, Jocelyn; Venter, Marietjie; Pretorius, Marthi; Treurnicht, Florette; Hellferscee, Orienka; von Gottberg, Anne; Wolter, Nicole; Cohen, Cheryl
Title: Mortality in children aged <5 years with severe acute respiratory illness in a high HIV-prevalence urban and rural areas of South Africa, 2009–2013 Cord-id: 9j2i28gn Document date: 2021_8_12
ID: 9j2i28gn
Snippet: BACKGROUND: Severe acute respiratory illness (SARI) is an important cause of mortality in young children, especially in children living with HIV infection. Disparities in SARI death in children aged <5 years exist in urban and rural areas. OBJECTIVE: To compare the factors associated with in-hospital death among children aged <5 years hospitalized with SARI in an urban vs. a rural setting in South Africa from 2009–2013. METHODS: Data were collected from hospitalized children with SARI in one u
Document: BACKGROUND: Severe acute respiratory illness (SARI) is an important cause of mortality in young children, especially in children living with HIV infection. Disparities in SARI death in children aged <5 years exist in urban and rural areas. OBJECTIVE: To compare the factors associated with in-hospital death among children aged <5 years hospitalized with SARI in an urban vs. a rural setting in South Africa from 2009–2013. METHODS: Data were collected from hospitalized children with SARI in one urban and two rural sentinel surveillance hospitals. Nasopharyngeal aspirates were tested for ten respiratory viruses and blood for pneumococcal DNA using polymerase chain reaction. We used multivariable logistic regression to identify patient and clinical characteristics associated with in-hospital death. RESULTS: From 2009 through 2013, 5,297 children aged <5 years with SARI-associated hospital admission were enrolled; 3,811 (72%) in the urban and 1,486 (28%) in the rural hospitals. In-hospital case-fatality proportion (CFP) was higher in the rural hospitals (6.9%) than the urban hospital (1.3%, p<0.001), and among HIV-infected than the HIV-uninfected children (9.6% vs. 1.6%, p<0.001). In the urban hospital, HIV infection (odds ratio (OR):11.4, 95% confidence interval (CI):5.4–24.1) and presence of any other underlying illness (OR: 3.0, 95% CI: 1.0–9.2) were the only factors independently associated with death. In the rural hospitals, HIV infection (OR: 4.1, 95% CI: 2.3–7.1) and age <1 year (OR: 3.7, 95% CI: 1.9–7.2) were independently associated with death, whereas duration of hospitalization ≥5 days (OR: 0.5, 95% CI: 0.3–0.8) and any respiratory virus detection (OR: 0.4, 95% CI: 0.3–0.8) were negatively associated with death. CONCLUSION: We found that the case-fatality proportion was substantially higher among children admitted to rural hospitals and HIV infected children with SARI in South Africa. While efforts to prevent and treat HIV infections in children may reduce SARI deaths, further efforts to address health care inequality in rural populations are needed.
Search related documents:
Co phrase search for related documents- acute respiratory illness and live birth: 1
- acute respiratory illness and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30
- acute respiratory illness and logistic regression analysis: 1, 2, 3, 4, 5
- acute respiratory illness and logistic regression model: 1, 2, 3
- acute respiratory illness and low mortality: 1, 2, 3, 4, 5, 6
- acute respiratory illness and low sensitivity: 1, 2, 3, 4
- acute respiratory illness and lung disease: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19
- additive model and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
- additive model and logistic regression analysis: 1, 2, 3
- additive model and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9
- admission day and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72
- admission day and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
- admission day and logistic regression analysis univariate: 1, 2, 3, 4
- admission day and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19
- admission day and low mortality: 1, 2, 3, 4, 5, 6, 7, 8
- admission day and low sensitivity: 1, 2, 3, 4, 5
- admission day and lung disease: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
- live birth and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- live birth and logistic regression analysis: 1, 2, 3, 4
Co phrase search for related documents, hyperlinks ordered by date