%0 Journal Article
%T Short, Medium, and Long-Term Stroke Mortality in Libreville and Associated  Factors
%A Grass Aurelle Mambila Matsalou
%A Jennifer Nyangui Mapaga
%A Pupchen M. Gnigone
%A Minka¡¯a Pagbe Michael
%A Chermine Mboumba Mboumba
%A Christian Allognon Mahutondji
%A Aissata Ibrahima Camara
%A Annick A. Nsounda
%A Nelly Diouf Mbourou
%A Michel-Arnaud Saphou-Damon
%A Elsa Ayo Bivigou
%A Philomene Kouna Ndouongo
%J Neuroscience & Medicine
%P 39-50
%@ 2158-2947
%D 2024
%I Scientific Research Publishing
%R 10.4236/nm.2024.151003
%X <p>
	<span style=\"font-family:&quot;\">Stro<span>kes are common around the world and especially in
sub-Saharan Africa. They are responsible for severe sequelae and the majority
of deaths. In G</span>abon, no study on stroke mortality has been conducted.</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">Objective:</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">To determine short, medium,
long-term mortality and factors associated with long-term stroke mortality.</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">Method: Our study took
place in the Neurology Department of the University Hospital Center of
Libreville (UHCL). It was a historical cohort study with descriptive and
analytical purposes covering the period from June 1 to August 31, 2018 and
taking into account hospitalized patients from January 1, 2013 to December 31,
2017.</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">We
conducted a comprehensive systematic recruitment of patients with stroke, 18
years old and more, and ha</span><span style=\"font-family:&quot;\">d</span><span style=\"font-family:&quot;\"> been
agreed to give information.</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">We included
all patients meeting the inclusion criteria. The data was gathered using
Epi-Info 7 software. The CHI-2 test was used for the comparison of frequencies
and the Student¡¯s test, for comparison of means. Multivariate analysis with
logistic regression allowed us to look for factors associated with long-term
mortality.<span>&nbsp; </span><span>A result was statistically significant for a p</span></span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">&lt;</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">0.05 value.</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">Results: At 3 months, 28
patients (18.1%) died, at 6 months thirty-one patients or 20.1% died. At 5
years old, fifty-three patients or 34.4% had died. The factors associated with
long-term mortality, if the lost of sight were all alive were tobacco (p</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">=</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">0.01) and stroke (p</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\">=</span><span style=\"font-family:&quot;\">
%K Stroke
%K Mortality
%K Associated Factors
%K Libreville
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=131092