Influenza H1N1 pdm9 is the main strain seen this year in Louisiana - This year it is not more and not less severe than in 2009
Influenza H1N1 pdm9 is the main strain seen this year in Louisiana - This year it is not more and not less severe than in 2009
Please click on the summary Dr. Ratard compiled regarding influenza activity this year compared to 2009.
Influenza A H1N1 pdm09 is the predominant strain in Louisiana this year, the same as the 2009 pandemic
strain.
Influenza H1N1 pdm9 is the main strain seen this year in Louisiana
This year it is not more and not less severe than in 2009.
Influenza can be a severe disease. The vaccine will help prevent complications and deaths
[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]Many are concerned about the severity of influenza this season in comparison with the previous years. The virus in circulation now is identical to the H1N1 pandemic strain from 2009 (now named H1N1pdm9). [/FONT]
[FONT=Times New Roman,Times New Roman]It is interesting to look at the statistics from the 2009 pandemic influenza season in Louisiana: [/FONT]
[FONT=Times New Roman,Times New Roman]-From October 4 to December 31[/FONT][/FONT][FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]st [/FONT][/FONT][FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]2009, [/FONT]
[FONT=Times New Roman,Times New Roman]? the number of influenza cases was estimated at 85,000 cases, [/FONT]
[FONT=Times New Roman,Times New Roman]? there were 187 hospitalizations for influenza confirmed by PCR [/FONT]
[FONT=Times New Roman,Times New Roman]? and 26 deaths among these 187 hospitalizations. [/FONT]
[FONT=Times New Roman,Times New Roman]-For the entire season, [/FONT]
[FONT=Times New Roman,Times New Roman]there were about 300,000 cases, with 2,409 cases for which there was PCR confirmation by the LA Public Health Laboratory. [/FONT]
[FONT=Times New Roman,Times New Roman]? there were 736 hospitalized patients confirmed with H1N1pdm9 [/FONT]
[FONT=Times New Roman,Times New Roman]? among these 736, 205 were in ICU, this represent 28% of the patients hospitalized, [/FONT]
[FONT=Times New Roman,Times New Roman]? among these 736, 125 were on ventilators, this represent 17% of the patients hospitalized, [/FONT]
[FONT=Times New Roman,Times New Roman]? among these 736, there were 50 deaths, this represents 7% of the patients hospitalized. [/FONT]
[FONT=Times New Roman,Times New Roman]? Of these 50 deaths, 48 deaths occurred in ICU patients. [/FONT]
[FONT=Times New Roman,Times New Roman]? the hospitalization affected proportionally more of the middle age groups as shown in the following table: [/FONT]
[/FONT]<TABLE dir=ltr border=1 cellSpacing=0 cellPadding=7 width=567><TBODY><TR><TD height=28 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]Age Group [/FONT][/FONT]
</TD><TD height=28 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]Proportion of the population [/FONT]
[FONT=Times New Roman,Times New Roman]in this age group [/FONT][/FONT]
</TD><TD height=28 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]Proportion of the hospitalization [/FONT]
[FONT=Times New Roman,Times New Roman]in this age group [/FONT][/FONT]
</TD><TD height=28 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]Ratio of these proportions [/FONT][/FONT]
</TD></TR><TR><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]00_04 [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]7% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]15% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]15/7 = 2.1 [/FONT][/FONT]
</TD></TR><TR><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]05_24 [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]30% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]34% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]34/30 = 1.1 [/FONT][/FONT]
</TD></TR><TR><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]25_49 [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]34% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]28% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]28/34 = 0.8 [/FONT][/FONT]
</TD></TR><TR><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]50_64 [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]17% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]17% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]17/17 = 1.0 [/FONT][/FONT]
</TD></TR><TR><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]65P [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]12% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]5% [/FONT][/FONT]
</TD><TD height=10 vAlign=top width="25%">[FONT=Times New Roman,Times New Roman]
[FONT=Times New Roman,Times New Roman]5/12 = 0.4 [/FONT][/FONT]
</TD></TR></TBODY></TABLE>
A ratio of 1.0 shows that the distribution of hospitalized was similar as the distribution of the population, meaning there was no excess and no deficit in hospitalztion. The ration of these proportion shows there was an excess distribution among the children and a deficit among the elderly. Maybe the elderly were somehow protected by some remnant of old antibody against a similar strain from the past.
<TABLE dir=ltr border=1 cellSpacing=0 cellPadding=7 width=524><TBODY><TR><TD height=10 vAlign=top width="17%">
The age group distribution of these patients hospitalized was the following: Age Group
</TD><TD height=10 vAlign=top width="17%">
Hospitalized
</TD><TD height=10 vAlign=top width="17%">
In ICU
</TD><TD height=10 vAlign=top width="17%">
% in ICU
</TD><TD height=10 vAlign=top width="17%">
Death
</TD><TD height=10 vAlign=top width="17%">
% Death
</TD></TR><TR><TD height=10 vAlign=top width="17%">
00_04
</TD><TD height=10 vAlign=top width="17%">
111
</TD><TD height=10 vAlign=top width="17%">
15
</TD><TD height=10 vAlign=top width="17%">
13.5%
</TD><TD height=10 vAlign=top width="17%">
0
</TD><TD height=10 vAlign=top width="17%">
0.0%
</TD></TR><TR><TD height=10 vAlign=top width="17%">
05_24
</TD><TD height=10 vAlign=top width="17%">
252
</TD><TD height=10 vAlign=top width="17%">
45
</TD><TD height=10 vAlign=top width="17%">
17.8%
</TD><TD height=10 vAlign=top width="17%">
14
</TD><TD height=10 vAlign=top width="17%">
5.5%
</TD></TR><TR><TD height=10 vAlign=top width="17%">
25_49
</TD><TD height=10 vAlign=top width="17%">
206
</TD><TD height=10 vAlign=top width="17%">
78
</TD><TD height=10 vAlign=top width="17%">
37.8%
</TD><TD height=10 vAlign=top width="17%">
18
</TD><TD height=10 vAlign=top width="17%">
8.7%
</TD></TR><TR><TD height=10 vAlign=top width="17%">
50_64
</TD><TD height=10 vAlign=top width="17%">
128
</TD><TD height=10 vAlign=top width="17%">
49
</TD><TD height=10 vAlign=top width="17%">
38.3%
</TD><TD height=10 vAlign=top width="17%">
15
</TD><TD height=10 vAlign=top width="17%">
11.7%
</TD></TR><TR><TD height=10 vAlign=top width="17%">
65P
</TD><TD height=10 vAlign=top width="17%">
39
</TD><TD height=10 vAlign=top width="17%">
18
</TD><TD height=10 vAlign=top width="17%">
46.1%
</TD><TD height=10 vAlign=top width="17%">
3
</TD><TD height=10 vAlign=top width="17%">
7.7%
</TD></TR></TBODY></TABLE>
http://new.dhh.louisiana.gov/assets...r-CH/infectious-epi/Influenza/FluSeverity.pdf
http://new.dhh.louisiana.gov/index.cfm/page/1591