To estimate the magnitude of the risks associated with age, obesity, pregnancy and diabetes, we compared the prevalence of these conditions reported in hospitalized severe cases to that in the general population, during the 2009-2010 A(H1N1) pandemic flu in France. Pregnancy, obesity, heart failure and diabetes were risk factors for admission into an intensive care unit (OR=5.2 [95%CI 4.0-6.9], 3.8 [3.0-4.9], 3.3 [2.6-4.1] and 2.8 [2.3-3.4], respectively). Only heart failure, obesity, and diabetes were significantly associated with death (OR=6.9 [4.9-9.8], 3.6 [1.9-6.2], and 3.5 [2.5-5.1], respectively). Elderly adults were at lower risk of being admitted into an ICU, but at higher risk of death.
The last pandemic flu has been characterized by a high rate of hospitalization for severe cases  . It has been reported that there is a surprisingly high rate of obese or pregnant persons among the hospitalized patients. However, the risk of such conditions has not been quantified yet.
To estimate the magnitude of the risks associated with age, obesity, pregnancy and diabetes, we compared the prevalence of these conditions reported in hospitalized severe cases to that in the general population, using the already available databases.
In France, the A(H1N1)v influenza epidemic started in week 37 of 2009 and lasted until week 1 of 2010. Since November 2009, all cases hospitalized in intensive care units (ICU) have been reported to the National Institute for Public Health Surveillance (Institut de Veille Sanitaire, InVS). The descriptive data published in the InVS weekly bulletin  were used to estimate prevalence of obesity, diabetes and pregnancy in severe cases hospitalized in metropolitan France. The following data sources in the general population were used:
- Yates’ corrected Chi2 were used to compare prevalence.
Results are reported in the table. Among the conditions studied, pregnancy, obesity, heart failure and diabetes were risk factors for admission into an ICU (OR=5.2 [95%CI 4.0-6.9], 3.8 [3.0-4.9], 3.3 [2.6-4.1] and 2.8 [2.3-3.4], respectively). Only heart failure, obesity and diabetes were significantly associated with death (OR=6.9 [4.9-9.8], 3.6 [1.9-6.2], and 3.5 [2.5-5.1], respectively). Compared to elderly subjects, infants, young and middle-aged adults were at increasing risk of being admitted into an ICU. Children, adolescents, young, and middle-aged adults were at decreasing risk of death.
Table 1. Age and gender distributions and diabetes, obesity and pregnancy prevalence in the French general population and in persons hospitalized in an intensive care unit for severe influenza.
A(H1N1)v infection (aTotal number of women in the 15-64 years age class ;bTotal number of persons aged 1 year and more)
These estimates show that pregnancy and age < 1 year are the strongest risk factors for admission into an ICU following influenza A(H1N1)v infection, but are not associated with increased risk of death. On the contrary, heart failure diabetes and obesity clearly increase the risk of being a severe case and dying. Elderly adults were at lower risk of being admitted into an ICU, but at higher risk of death.
There are some limitations to these estimates. Risk factors estimates from case/control studies must be assessed for biases, confounding and precision.
We used the whole population as control. This means that the reported estimates are not conditional to influenza infection, but rather measure the risk of both infection and severity or death.
The risk factors reported here may not be independent, as the results were not adjusted for we could not break down control characteristics with sufficient detail. For example, diabetes is reportedly up to seven times more prevalent in obese persons , so that most diabetes cases were likely among obese patients. The larger odds-ratio for diabetes for hospitalization suggests an additional risk compared to obesity alone, however this was not found for death. A specific control sample is required to allow for more precise adjustments. The interdependency of other risk factors is less clear. For example, if obesity was confounded by age, one would expect age to be a monotonously increasing risk factor as the prevalence of obesity increases with age, and this was not the case.
We assumed that there was no uncertainty in prevalence for controls. While this may be almost true for age, sex and pregnancies, it is less reasonable for diabetes and obesity which were measured on samples. This may lead to too short confidence intervals. However, the variance of the estimated odds-ratios is mostly due to the limited number of influenza severe cases and deaths, so that the impact should be limited.
Finally, we did not have a precise age distribution of severe cases, leading to approximations of the selected age groups for comparison with the general population.
The estimates of risk for severe cases of influenza A(H1N1)v infection will have to be analyzed more precisely. They can, however, help devise vaccination strategies and enhance antiviral use recommendations.
Jacque Cheymol, MD, for searching populational obesity data. Ilana Levin, MPH, for editorial support.
Public sources of funding from Inserm and EHESP.
The authors have declared that no competing interests exist.
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