Dataset Information

The Fraction of Rhinovirus Detections Attributable to Mild and Severe Respiratory Illness in a Setting of High Human Immunodeficiency Virus Prevalence, South Africa, 2013-2015.

ABSTRACT:

Background

The association of rhinovirus (RV) detection to illness is poorly understood.

Methods

We enrolled case patients hospitalized with severe respiratory illness (SRI) at 2 hospitals and outpatients with influenza-like illness (ILI) and asymptomatic individuals (controls) from 2 affiliated clinics during 2013-2015. We compared the RV prevalence among ILI and SRI cases to those of controls stratified by human immunodeficiency virus (HIV) serostatus using penalized logistic regression. The attributable fraction (AF) was calculated.

Results

During 2013-2015, RV was detected in 17.4% (368/2120), 26.8% (979/3654), and 23.0% (1003/4360) of controls, ILI cases, and SRI cases, respectively. The RV AF (95% confidence interval) was statistically significant among children aged <5 years (ILI: 44.6% [30.7%-55.7%] and SRI: 50.3% [38.6%-59.9%]; P < .001) and individuals aged ?5 years (ILI: 62.9% [54.4%-69.8%] and SRI: 51.3% [38.7%-61.3%]; P < .001) as well as among HIV-infected (ILI: 59.9% [45.8%-70.3%] and SRI: 39.8% [22.3%-53.3%]; P < .001) and HIV-uninfected (ILI: 53.6% [44.7%-61.1%] and SRI: 55.3% [45.6%-63.2%]; P < .001) individuals.

Conclusions

Although RV detection was common among controls, it was also associated with a substantial proportion of clinical illness across age groups, irrespective of HIV status.

SUBMITTER: Hellferscee O

PROVIDER: S-EPMC7804373 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Fraction of Rhinovirus Detections Attributable to Mild and Severe Respiratory Illness in a Setting of High Human Immunodeficiency Virus Prevalence, South Africa, 2013-2015.

Hellferscee Orienka O Treurnicht Florette K FK Walaza Sibongile S Du Plessis Mignon M Von Gottberg Anne A Wolter Nicole N Moyes Jocelyn J Dawood Halima H Variava Ebrahim E Pretorius Marthi M Venter Marietjie M Cohen Cheryl C Tempia Stefano S

The Journal of infectious diseases 20190501 11

<h4>Background</h4>The association of rhinovirus (RV) detection to illness is poorly understood.<h4>Methods</h4>We enrolled case patients hospitalized with severe respiratory illness (SRI) at 2 hospitals and outpatients with influenza-like illness (ILI) and asymptomatic individuals (controls) from 2 affiliated clinics during 2013-2015. We compared the RV prevalence among ILI and SRI cases to those of controls stratified by human immunodeficiency virus (HIV) serostatus using penalized logistic re ...[more]

PMID: 30590585

Similar Datasets

Project description:BackgroundAntiretroviral therapy (ART) has reduced mortality among people living with human immunodeficiency virus (HIV), but cancer remains an important cause of death. We characterized cancer-attributable mortality in the HIV population during 2001-2015.MethodsWe used data from population-based HIV and cancer registries in the United States (US). Cox proportional hazards regression models were used to estimate adjusted hazard ratios (HRs) associating cancer diagnoses with overall mortality, we could perhaps cut these words to accommodate the word limit. However readers will probably want to know what statistical adjustments were made to the model. Population-attributable fractions (PAFs) were calculated using these HRs and the proportion of deaths preceded by cancer. Cancer-specific PAFs and cancer-attributable mortality rates were calculated for demographic subgroups, AIDS-defining cancers (Kaposi sarcoma [KS], non-Hodgkin lymphoma [NHL], cervical cancer), and non-AIDS-defining cancers.ResultsCancer-attributable mortality was 386.9 per 100 000 person-years, with 9.2% and 5.0% of deaths attributed to non-AIDS-defining and AIDS-defining cancers, respectively. Leading cancer-attributable deaths were from NHL (3.5%), lung cancer (2.4%), KS (1.3%), liver cancer (1.1%), and anal cancer (0.6%). Overall, cancer-attributable mortality declined from 484.0 per 100 000 person-years during 2001-2005 to 313.6 per 100 000 person-years during 2011-2015, while the PAF increased from 12.6% to 17.1%; the PAF for non-AIDS-defining cancers increased from 7.2% to 11.8% during 2011-2015. Cancer-attributable mortality was highest among those aged ≥60 years (952.2 per 100 000 person-years), with 19.0% of deaths attributed to non-AIDS-defining cancers.ConclusionsAlthough cancer-attributable mortality has declined over time, it remains high and represents a growing fraction of deaths in the US HIV population. Mortality from non-AIDS-defining cancers may rise as the HIV population ages. ART access, early cancer detection, and improved cancer treatment are priorities for reducing cancer-attributable mortality.

Project description:BackgroundChanging population-level exposure to modifiable risk factors is a key driver of changing cancer incidence. Understanding these changes is therefore vital when prioritising risk-reduction policies, in order to have the biggest impact on reducing cancer incidence. UK figures on the number of risk factor-attributable cancers are updated here to reflect changing behaviour as assessed in representative national surveys, and new epidemiological evidence. Figures are also presented by UK constituent country because prevalence of risk factor exposure varies between them.MethodsPopulation attributable fractions (PAFs) were calculated for combinations of risk factor and cancer type with sufficient/convincing evidence of a causal association. Relative risks (RRs) were drawn from meta-analyses of cohort studies where possible. Prevalence of exposure to risk factors was obtained from nationally representative population surveys. Cancer incidence data for 2015 were sourced from national data releases and, where needed, personal communications. PAF calculations were stratified by age, sex and risk factor exposure level and then combined to create summary PAFs by cancer type, sex and country.ResultsNearly four in ten (37.7%) cancer cases in 2015 in the UK were attributable to known risk factors. The proportion was around two percentage points higher in UK males (38.6%) than in UK females (36.8%). Comparing UK countries, the attributable proportion was highest in Scotland (41.5% for persons) and lowest in England (37.3% for persons). Tobacco smoking contributed by far the largest proportion of attributable cancer cases, followed by overweight/obesity, accounting for 15.1% and 6.3%, respectively, of all cases in the UK in 2015. For 10 cancer types, including two of the five most common cancer types in the UK (lung cancer and melanoma skin cancer), more than 70% of UK cancer cases were attributable to known risk factors.ConclusionTobacco and overweight/obesity remain the top contributors of attributable cancer cases. Tobacco smoking has the highest PAF because it greatly increases cancer risk and has a large number of cancer types associated with it. Overweight/obesity has the second-highest PAF because it affects a high proportion of the UK population and is also linked with many cancer types. Public health policy may seek to mitigate the level of harm associated with exposure or reduce exposure levels-both approaches may effectively impact cancer incidence. Differences in PAFs between countries and sexes are primarily due to varying prevalence of exposure to risk factors and varying proportions of specific cancer types. This variation in turn is affected by socio-demographic differences which drive differences in exposure to theoretically avoidable 'lifestyle' factors. PAFs at UK country level have not been available previously and they should be used by policymakers in devolved nations. PAFs are estimates based on the best available data, limitations in those data would generally bias toward underestimation of PAFs. Regular collection of risk factor exposure prevalence data which corresponds with epidemiological evidence is vital for analyses like this and should remain a priority for the UK Government and devolved Administrations.

Dataset Information

The Fraction of Rhinovirus Detections Attributable to Mild and Severe Respiratory Illness in a Setting of High Human Immunodeficiency Virus Prevalence, South Africa, 2013-2015.

Background

Methods

Results

Conclusions

Publications

The Fraction of Rhinovirus Detections Attributable to Mild and Severe Respiratory Illness in a Setting of High Human Immunodeficiency Virus Prevalence, South Africa, 2013-2015.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets