\documentclass[11pt,twoside]{article}\makeatletter

\IfFileExists{xcolor.sty}%
  {\RequirePackage{xcolor}}%
  {\RequirePackage{color}}
\usepackage{colortbl}
\usepackage{wrapfig}
\usepackage{ifxetex}
\ifxetex
  \usepackage{fontspec}
  \usepackage{xunicode}
  \catcode`⃥=\active \def⃥{\textbackslash}
  \catcode`❴=\active \def❴{\{}
  \catcode`❵=\active \def❵{\}}
  \def\textJapanese{\fontspec{Noto Sans CJK JP}}
  \def\textChinese{\fontspec{Noto Sans CJK SC}}
  \def\textKorean{\fontspec{Noto Sans CJK KR}}
  \setmonofont{DejaVu Sans Mono}
  
\else
  \IfFileExists{utf8x.def}%
   {\usepackage[utf8x]{inputenc}
      \PrerenderUnicode{–}
    }%
   {\usepackage[utf8]{inputenc}}
  \usepackage[english]{babel}
  \usepackage[T1]{fontenc}
  \usepackage{float}
  \usepackage[]{ucs}
  \uc@dclc{8421}{default}{\textbackslash }
  \uc@dclc{10100}{default}{\{}
  \uc@dclc{10101}{default}{\}}
  \uc@dclc{8491}{default}{\AA{}}
  \uc@dclc{8239}{default}{\,}
  \uc@dclc{20154}{default}{ }
  \uc@dclc{10148}{default}{>}
  \def\textschwa{\rotatebox{-90}{e}}
  \def\textJapanese{}
  \def\textChinese{}
  \IfFileExists{tipa.sty}{\usepackage{tipa}}{}
\fi
\def\exampleFont{\ttfamily\small}
\DeclareTextSymbol{\textpi}{OML}{25}
\usepackage{relsize}
\RequirePackage{array}
\def\@testpach{\@chclass
 \ifnum \@lastchclass=6 \@ne \@chnum \@ne \else
  \ifnum \@lastchclass=7 5 \else
   \ifnum \@lastchclass=8 \tw@ \else
    \ifnum \@lastchclass=9 \thr@@
   \else \z@
   \ifnum \@lastchclass = 10 \else
   \edef\@nextchar{\expandafter\string\@nextchar}%
   \@chnum
   \if \@nextchar c\z@ \else
    \if \@nextchar l\@ne \else
     \if \@nextchar r\tw@ \else
   \z@ \@chclass
   \if\@nextchar |\@ne \else
    \if \@nextchar !6 \else
     \if \@nextchar @7 \else
      \if \@nextchar (8 \else
       \if \@nextchar )9 \else
  10
  \@chnum
  \if \@nextchar m\thr@@\else
   \if \@nextchar p4 \else
    \if \@nextchar b5 \else
   \z@ \@chclass \z@ \@preamerr \z@ \fi \fi \fi \fi
   \fi \fi  \fi  \fi  \fi  \fi  \fi \fi \fi \fi \fi \fi}
\gdef\arraybackslash{\let\\=\@arraycr}
\def\@textsubscript#1{{\m@th\ensuremath{_{\mbox{\fontsize\sf@size\z@#1}}}}}
\def\Panel#1#2#3#4{\multicolumn{#3}{){\columncolor{#2}}#4}{#1}}
\def\abbr{}
\def\corr{}
\def\expan{}
\def\gap{}
\def\orig{}
\def\reg{}
\def\ref{}
\def\sic{}
\def\persName{}\def\name{}
\def\placeName{}
\def\orgName{}
\def\textcal#1{{\fontspec{Lucida Calligraphy}#1}}
\def\textgothic#1{{\fontspec{Lucida Blackletter}#1}}
\def\textlarge#1{{\large #1}}
\def\textoverbar#1{\ensuremath{\overline{#1}}}
\def\textquoted#1{‘#1’}
\def\textsmall#1{{\small #1}}
\def\textsubscript#1{\@textsubscript{\selectfont#1}}
\def\textxi{\ensuremath{\xi}}
\def\titlem{\itshape}
\newenvironment{biblfree}{}{\ifvmode\par\fi }
\newenvironment{bibl}{}{}
\newenvironment{byline}{\vskip6pt\itshape\fontsize{16pt}{18pt}\selectfont}{\par }
\newenvironment{citbibl}{}{\ifvmode\par\fi }
\newenvironment{docAuthor}{\ifvmode\vskip4pt\fontsize{16pt}{18pt}\selectfont\fi\itshape}{\ifvmode\par\fi }
\newenvironment{docDate}{}{\ifvmode\par\fi }
\newenvironment{docImprint}{\vskip 6pt}{\ifvmode\par\fi }
\newenvironment{docTitle}{\vskip6pt\bfseries\fontsize{22pt}{25pt}\selectfont}{\par }
\newenvironment{msHead}{\vskip 6pt}{\par}
\newenvironment{msItem}{\vskip 6pt}{\par}
\newenvironment{rubric}{}{}
\newenvironment{titlePart}{}{\par }

\newcolumntype{L}[1]{){\raggedright\arraybackslash}p{#1}}
\newcolumntype{C}[1]{){\centering\arraybackslash}p{#1}}
\newcolumntype{R}[1]{){\raggedleft\arraybackslash}p{#1}}
\newcolumntype{P}[1]{){\arraybackslash}p{#1}}
\newcolumntype{B}[1]{){\arraybackslash}b{#1}}
\newcolumntype{M}[1]{){\arraybackslash}m{#1}}
\definecolor{label}{gray}{0.75}
\def\unusedattribute#1{\sout{\textcolor{label}{#1}}}
\DeclareRobustCommand*{\xref}{\hyper@normalise\xref@}
\def\xref@#1#2{\hyper@linkurl{#2}{#1}}
\begingroup
\catcode`\_=\active
\gdef_#1{\ensuremath{\sb{\mathrm{#1}}}}
\endgroup
\mathcode`\_=\string"8000
\catcode`\_=12\relax

\usepackage[a4paper,twoside,lmargin=1in,rmargin=1in,tmargin=1in,bmargin=1in,marginparwidth=0.75in]{geometry}
\usepackage{framed}

\definecolor{shadecolor}{gray}{0.95}
\usepackage{longtable}
\usepackage[normalem]{ulem}
\usepackage{fancyvrb}
\usepackage{fancyhdr}
\usepackage{graphicx}
\usepackage{marginnote}

\renewcommand{\@cite}[1]{#1}


\renewcommand*{\marginfont}{\itshape\footnotesize}

\def\Gin@extensions{.pdf,.png,.jpg,.mps,.tif}

  \pagestyle{fancy}

\usepackage[pdftitle={Drug Resistance Patterns of Bacterial Pathogens from Adult Patients with Pneumonia in Arba Minch Hospital, South Ethiopia},
 pdfauthor={}]{hyperref}
\hyperbaseurl{}

	 \paperwidth210mm
	 \paperheight297mm
              
\def\@pnumwidth{1.55em}
\def\@tocrmarg {2.55em}
\def\@dotsep{4.5}
\setcounter{tocdepth}{3}
\clubpenalty=8000
\emergencystretch 3em
\hbadness=4000
\hyphenpenalty=400
\pretolerance=750
\tolerance=2000
\vbadness=4000
\widowpenalty=10000

\renewcommand\section{\@startsection {section}{1}{\z@}%
     {-1.75ex \@plus -0.5ex \@minus -.2ex}%
     {0.5ex \@plus .2ex}%
     {\reset@font\Large\bfseries}}
\renewcommand\subsection{\@startsection{subsection}{2}{\z@}%
     {-1.75ex\@plus -0.5ex \@minus- .2ex}%
     {0.5ex \@plus .2ex}%
     {\reset@font\Large}}
\renewcommand\subsubsection{\@startsection{subsubsection}{3}{\z@}%
     {-1.5ex\@plus -0.35ex \@minus -.2ex}%
     {0.5ex \@plus .2ex}%
     {\reset@font\large}}
\renewcommand\paragraph{\@startsection{paragraph}{4}{\z@}%
     {-1ex \@plus-0.35ex \@minus -0.2ex}%
     {0.5ex \@plus .2ex}%
     {\reset@font\normalsize}}
\renewcommand\subparagraph{\@startsection{subparagraph}{5}{\parindent}%
     {1.5ex \@plus1ex \@minus .2ex}%
     {-1em}%
     {\reset@font\normalsize\bfseries}}


\def\l@section#1#2{\addpenalty{\@secpenalty} \addvspace{1.0em plus 1pt}
 \@tempdima 1.5em \begingroup
 \parindent \z@ \rightskip \@pnumwidth 
 \parfillskip -\@pnumwidth 
 \bfseries \leavevmode #1\hfil \hbox to\@pnumwidth{\hss #2}\par
 \endgroup}
\def\l@subsection{\@dottedtocline{2}{1.5em}{2.3em}}
\def\l@subsubsection{\@dottedtocline{3}{3.8em}{3.2em}}
\def\l@paragraph{\@dottedtocline{4}{7.0em}{4.1em}}
\def\l@subparagraph{\@dottedtocline{5}{10em}{5em}}
\@ifundefined{c@section}{\newcounter{section}}{}
\@ifundefined{c@chapter}{\newcounter{chapter}}{}
\newif\if@mainmatter 
\@mainmattertrue
\def\chaptername{Chapter}
\def\frontmatter{%
  \pagenumbering{roman}
  \def\thechapter{\@roman\c@chapter}
  \def\theHchapter{\roman{chapter}}
  \def\thesection{\@roman\c@section}
  \def\theHsection{\roman{section}}
  \def\@chapapp{}%
}
\def\mainmatter{%
  \cleardoublepage
  \def\thechapter{\@arabic\c@chapter}
  \setcounter{chapter}{0}
  \setcounter{section}{0}
  \pagenumbering{arabic}
  \setcounter{secnumdepth}{6}
  \def\@chapapp{\chaptername}%
  \def\theHchapter{\arabic{chapter}}
  \def\thesection{\@arabic\c@section}
  \def\theHsection{\arabic{section}}
}
\def\backmatter{%
  \cleardoublepage
  \setcounter{chapter}{0}
  \setcounter{section}{0}
  \setcounter{secnumdepth}{2}
  \def\@chapapp{\appendixname}%
  \def\thechapter{\@Alph\c@chapter}
  \def\theHchapter{\Alph{chapter}}
  \appendix
}
\newenvironment{bibitemlist}[1]{%
   \list{\@biblabel{\@arabic\c@enumiv}}%
       {\settowidth\labelwidth{\@biblabel{#1}}%
        \leftmargin\labelwidth
        \advance\leftmargin\labelsep
        \@openbib@code
        \usecounter{enumiv}%
        \let\p@enumiv\@empty
        \renewcommand\theenumiv{\@arabic\c@enumiv}%
	}%
  \sloppy
  \clubpenalty4000
  \@clubpenalty \clubpenalty
  \widowpenalty4000%
  \sfcode`\.\@m}%
  {\def\@noitemerr
    {\@latex@warning{Empty `bibitemlist' environment}}%
    \endlist}

\def\tableofcontents{\section*{\contentsname}\@starttoc{toc}}
\parskip0pt
\parindent1em
\def\Panel#1#2#3#4{\multicolumn{#3}{){\columncolor{#2}}#4}{#1}}
\newenvironment{reflist}{%
  \begin{raggedright}\begin{list}{}
  {%
   \setlength{\topsep}{0pt}%
   \setlength{\rightmargin}{0.25in}%
   \setlength{\itemsep}{0pt}%
   \setlength{\itemindent}{0pt}%
   \setlength{\parskip}{0pt}%
   \setlength{\parsep}{2pt}%
   \def\makelabel##1{\itshape ##1}}%
  }
  {\end{list}\end{raggedright}}
\newenvironment{sansreflist}{%
  \begin{raggedright}\begin{list}{}
  {%
   \setlength{\topsep}{0pt}%
   \setlength{\rightmargin}{0.25in}%
   \setlength{\itemindent}{0pt}%
   \setlength{\parskip}{0pt}%
   \setlength{\itemsep}{0pt}%
   \setlength{\parsep}{2pt}%
   \def\makelabel##1{\upshape ##1}}%
  }
  {\end{list}\end{raggedright}}
\newenvironment{specHead}[2]%
 {\vspace{20pt}\hrule\vspace{10pt}%
  \phantomsection\label{#1}\markright{#2}%

  \pdfbookmark[2]{#2}{#1}%
  \hspace{-0.75in}{\bfseries\fontsize{16pt}{18pt}\selectfont#2}%
  }{}
      \def\TheFullDate{2014-01-15 (revised: 15 January 2014)}
\def\TheID{\makeatother }
\def\TheDate{2014-01-15}
\title{Drug Resistance Patterns of Bacterial Pathogens from Adult Patients with Pneumonia in Arba Minch Hospital, South Ethiopia}
\author{}\makeatletter 
\makeatletter
\newcommand*{\cleartoleftpage}{%
  \clearpage
    \if@twoside
    \ifodd\c@page
      \hbox{}\newpage
      \if@twocolumn
        \hbox{}\newpage
      \fi
    \fi
  \fi
}
\makeatother
\makeatletter
\thispagestyle{empty}
\markright{\@title}\markboth{\@title}{\@author}
\renewcommand\small{\@setfontsize\small{9pt}{11pt}\abovedisplayskip 8.5\p@ plus3\p@ minus4\p@
\belowdisplayskip \abovedisplayskip
\abovedisplayshortskip \z@ plus2\p@
\belowdisplayshortskip 4\p@ plus2\p@ minus2\p@
\def\@listi{\leftmargin\leftmargini
               \topsep 2\p@ plus1\p@ minus1\p@
               \parsep 2\p@ plus\p@ minus\p@
               \itemsep 1pt}
}
\makeatother
\fvset{frame=single,numberblanklines=false,xleftmargin=5mm,xrightmargin=5mm}
\fancyhf{} 
\setlength{\headheight}{14pt}
\fancyhead[LE]{\bfseries\leftmark} 
\fancyhead[RO]{\bfseries\rightmark} 
\fancyfoot[RO]{}
\fancyfoot[CO]{\thepage}
\fancyfoot[LO]{\TheID}
\fancyfoot[LE]{}
\fancyfoot[CE]{\thepage}
\fancyfoot[RE]{\TheID}
\hypersetup{citebordercolor=0.75 0.75 0.75,linkbordercolor=0.75 0.75 0.75,urlbordercolor=0.75 0.75 0.75,bookmarksnumbered=true}
\fancypagestyle{plain}{\fancyhead{}\renewcommand{\headrulewidth}{0pt}}

\date{}
\usepackage{authblk}

\providecommand{\keywords}[1]
{
\footnotesize
  \textbf{\textit{Index terms---}} #1
}

\usepackage{graphicx,xcolor}
\definecolor{GJBlue}{HTML}{273B81}
\definecolor{GJLightBlue}{HTML}{0A9DD9}
\definecolor{GJMediumGrey}{HTML}{6D6E70}
\definecolor{GJLightGrey}{HTML}{929497} 

\renewenvironment{abstract}{%
   \setlength{\parindent}{0pt}\raggedright
   \textcolor{GJMediumGrey}{\rule{\textwidth}{2pt}}
   \vskip16pt
   \textcolor{GJBlue}{\large\bfseries\abstractname\space}
}{%   
   \vskip8pt
   \textcolor{GJMediumGrey}{\rule{\textwidth}{2pt}}
   \vskip16pt
}

\usepackage[absolute,overlay]{textpos}

\makeatother 
      \usepackage{lineno}
      \linenumbers
      
\begin{document}

             \author[1]{Belayneh  Regasa}

             \affil[1]{  Arba Minch University}

\renewcommand\Authands{ and }

\date{\small \em Received: 8 December 2013 Accepted: 4 January 2014 Published: 15 January 2014}

\maketitle


\begin{abstract}
        


Background: Community-acquired pneumonia (CAP) is associated with high mortality. Drug resistance is common in countries where the alternative treatments are limited and available drugs are misused. In resource limited countries; it is wise to determine antimicrobial susceptibility pattern of common bacterial pathogens of Community acquired pneumonia.Methods: A cross sectional study conducted at Arba Minch Hospital, Southern Ethiopia from February to December 2013. Sputum specimens were collected; microbiological investigations and antimicrobial susceptibility testing were performed using standard procedures. Data was processed and analyzed with SPSS version16.0.Results: Out of 170 cases, only 73 (42.9%) were culture positive. Majority of tested bacterial isolates (>86%) were sensitive to Ceftriaxone and Ciprofloxacin. Most Streptococcus pneumoniae isolates (60%) were resistant to Oxacillin. Most of Staphylococcus aureus and gram negative bacterial isolates were resistance to Tetracycline (100%), Penicillin (83.3%), Ampicillin (50-100%), Doxycycline (50-100%), and Trimethoprim-sulfamethoxazole (83.3-100%). Multidrug resistance (MDR) was observed to most (60.3%) bacterial isolates.

\end{abstract}


\keywords{pneumonia, bacterial pathogens and antimicrobial susceptibility pattern.}

\begin{textblock*}{18cm}(1cm,1cm) % {block width} (coords) 
\textcolor{GJBlue}{\LARGE Global Journals \LaTeX\ JournalKaleidoscope\texttrademark}
\end{textblock*}

\begin{textblock*}{18cm}(1.4cm,1.5cm) % {block width} (coords) 
\textcolor{GJBlue}{\footnotesize \\ Artificial Intelligence formulated this projection for compatibility purposes from the original article published at Global Journals. However, this technology is currently in beta. \emph{Therefore, kindly ignore odd layouts, missed formulae, text, tables, or figures.}}
\end{textblock*}


\let\tabcellsep& 	 	 		 \par
Introduction neumonia affects 3-5 adults per thousand per year with a mortality of 7-14\% in hospitalized patients \hyperref[b0]{(1)}. It is associated with high mortality. About 5.6 million cases of Community acquired pneumonia are reported in the United States each year, with an associated mortality rate of approximately 14\% \hyperref[b1]{(2,}\hyperref[b2]{3)}. Despite the advent of potent antibiotic over the last decades, significant mortality is still associated with pneumonia (4). Increased antibiotic resistance in frequently isolated bacterial pathogens from pneumonia patients has complicated the selection process of Author: Department of Medical Microbiology, Arba Minch University, Arba Minch, Ethiopia . e-mail: belayjanimen@gmail.com antimicrobial agents \hyperref[b4]{(5)} and the clinical presentation is usually not specific enough to make a firm etiologic diagnosis \hyperref[b5]{(6)}. The resistant strains of bacteria can quickly multiply and spread within a community where antibiotic use is common. Consequently, antibiotic resistance often results in various societal costs, including increased drug costs, additional health-service costs (such as laboratory tests and hospitalizations), greater drug resistance-related morbidity and mortality, and productivity losses \hyperref[b7]{(7)}. So it is wise to determine antimicrobial susceptibility pattern of bacterial pathogens and this might help for the management of the case in case of emergency and helps for the rational utilization of antimicrobial agents. 
\section[{II.}]{II.} 
\section[{Methods and Materials}]{Methods and Materials}\par
During the period February to December 2013 a total of 170 adults (above 15 years old) with typical symptoms of the disease, such as productive cough, fever, chest pain and the presence of consolidate on the chest radiograph consistent with pneumonia was included in this study. Sputum samples were inoculated onto Blood, MacConkey, Manitol Salt agar (MSA) and Chocolate agar (Oxoid Ltd, UK) plates \hyperref[b8]{(8)}. The bacterial isolates were then identified and subjected to antimicrobial susceptibility testing according to Clinical Laboratory Standards Institute (CLSI) recommendations \hyperref[b9]{(9,}\hyperref[b10]{10)}.\par
The antibiotic discs used and their concentration were:-Ceftriaxone (CRO, 30?g), Ciprofloxacin (CIP, 5?g), Tetracycline (TE, 30?g), Chloramphenicol (C, 30?g), Erythromycin (E, 15?g), Doxycycline (DO, 30µg), Penicillin (P, 10µg), Gentamycin (CN, 10?g), Trimethoprim-sulfamethoxazole (TMP-SMX, 1.25+23.75?g), Ampicillin (AMP, 10µg) and Oxacillin (OXA, 1?g) All antibiotic were obtained from Oxoid Limited, Basingstoke Hampshire, UK. A standard inoculum adjusted to 0.5 McFarland was swabbed on to Muller-Hinton agar (Oxoid Ltd. Bashingstore Hampaire, UK); antibiotic disc were dispensed after drying the plate for 3-5 min and incubated at 37 o C for 24 hours. For S. pneumoniae, MHA supplied with 5\% sheep blood and for H. influenzae, MHA chocolate agar was used.\par
Quality control strains that were used include: 27853 \hyperref[b10]{(10)}. Selected Socio-demographic characteristics like age and sex were obtained. Data were entered and analyzed using SPSS version 16.0 computer software.\par
The proposal of this study was ethically approved by the Institutional Ethical Review Committee (IRC) of Arba Minch University. Permission was obtained from Medical director of Arba Minch Hospital. Written informed consent was obtained from each patient participated in the study. 
\section[{III.}]{III.} 
\section[{Result}]{Result}\par
A total of 170 adult patients clinically diagnosed to have pneumonia in Arba Minch Hospital were selected and participated in this study (Table \hyperref[tab_1]{1}). Of these, 95 (55.9\%) were males and 75 (44.1\%) were females. The isolated bacteria were, Streptococcus pneumoniae 20 (11.8\%), Staphylococcus aureus 18 (10.6\%), Pseudomonas aeruginosa 12 (7.1\%), Klebsiella pneumoniae 11 (6.5\%), Escherichia coli 5 (2.9\%), Proteus mirabilis 2 (1.2\%), Proteus vulgaris 1 (0.6\%) and Haemophilus influenzae 4 (2.4\%).\par
Streptococcus pneumoniae isolates showed relatively high resistance (60\%) to Oxacillin (penicillin group representative) and all isolates were sensitive against Trimethoprim-sulfamethoxazole. High resistance rate S. aureus was observed to Tetracycline (100\%), Oxacillin (83.3\%), Ampicillin (83.3\%), Penicillin (83.3\%), Trimethoprim-sulfamethoxazole (83.3\%), Erythromycin (50\%) and Doxycycline (50\%). Pseudomonas aeruginosa isolates showed that 50\% resistant to Gentamycin. The antimicrobial testing of K. pneumoniae and H. influenzae isolates indicated that all isolates showed resistance (100\%) to Tetracycline, Ampicillin and Trimethoprim-sulfamethoxazole. Proteus and E. coli isolates showed resistance to Tetracycline, Chloramphenicol, Doxycycline, Gentamycin, Ampicillin and Trimethoprim-sulfamethoxazole (Table \hyperref[tab_2]{2}). Multidrug resistance was also observed to a number of antimicrobial agents (Table \hyperref[tab_3]{3})  IV. 
\section[{Discussion}]{Discussion}\par
The importance of knowing susceptibility patterns of bacterial isolates in patients with pneumonia has been identified as a key step towards limiting unnecessary antibacterial prescribing and treating patients effectively, which was the main purpose of this study.\par
S. pneumoniae, which was the commonest isolate in this study, showed 60\% resistant to oxacillin which is representative to penicillin group. This finding is comparable to studies conducted in USA (53\%) \hyperref[b11]{(11)} and Iran (30-57\%) \hyperref[b12]{(12)}. In this study, most tested S. pneumoniae isolates showed that 95\% susceptible to trimethoprim-sulfamethoxazole, but studies conducted in Nigeria (100\%) \hyperref[b13]{(13)} and Kenya (54\%) \hyperref[b15]{(14)}, showed high resistance rate of S. pneumoniae to trimethoprimsulfamethoxazole. In addition, 95\% of tested S. pneumoniae isolates were susceptible to chloramphenicol and erythromycin. These findings are comparable to a study conducted in Kenya (>97\%) \hyperref[b15]{(14)}. The second most causative agent S. aureus showed 77.8\% susceptible to ceftriaxone and ciprofloxacin, and 72.2\% to gentamycin and chloramphenicol. This result is comparable to studies conducted in Ibadan, Nigeria (66.7\% ciprofloxacin and 66.7\% gentamycin) \hyperref[b13]{(13)} and Benin City, Nigeria (66.7\% ceftriaxone, 66.7\% ciprofloxacin, and 66.7\% chloramphenicol) \hyperref[b16]{(15)}. In addition 83.3\% of tested S. aureus showed resistance to penicillin, ampicillin, oxacillin and trimethoprim-sulfamethoxazole; which is comparable to studies conducted China (88.7\% resistance to penicillin) \hyperref[b17]{(16)} and Nigeria (resistance rate of 66.7\% for penicillin) \hyperref[b13]{(13)}, but lower than study conducted in Nigeria (100\% for trimethoprimsulfamethoxazole) \hyperref[b13]{(13)}.\par
Most of tested gram negative bacilli isolates were sensitive (90\%) to ceftriaxone and ciprofloxacin. These findings are comparable to studies conducted in Benin City, Nigeria (66-100\%) \hyperref[b16]{(15)} and Ibadan, Nigeria (60-100\%) \hyperref[b13]{(13)}. Majority of gram negative bacilli was resistance (100\%) to tetracycline, chloramphenicol, doxycycline (except K. Pneumoniae, 90\% susceptible), trimethoprim-sulfamethoxazole and ampicillin. Similar study conducted in Nigeria (60-100\%) \hyperref[b16]{(15)}, supports these findings. The commonest causative agent among gram negative bacilli, P. aeruginosa, showed 58.3\% resistance to gentamycin, which is comparable to study conducted in Nigeria (53.6\%) \hyperref[b13]{(13)}. However, it showed low resistance (8.3\%) to ceftriaxone and ciprofloxacin; ciprofloxacin) \hyperref[b13]{(13)}, showed high resistance. K. pneumoniae and E. coli showed 100\% resistance to tetracycline, ampicillin and trimethoprim-sulfamethoxazole. These findings are comparable to studies conducted in Benin City, Nigeria (100\% resistance to tetracycline) \hyperref[b16]{(15)} and Ibadan, Nigeria (100\% resistance to trimethoprim-sulfamethoxazole) \hyperref[b13]{(13)}. All tested Proteus species isolates were resistance (100\%) to doxycycline, tetracycline, ampicillin and trimethoprimsulfamethoxazole. These findings are comparable to study conducted in Ibadan, Nigeria (100\% resistance to trimethoprim-sulfamethoxazole) \hyperref[b13]{(13)}.\par
All H. influenzae isolates tested for antimicrobial sensitivity showed low resistance (25\%) to ceftriaxone, ciprofloxacin and chloramphenicol. These findings are comparable to study conducted in Nigeria (chloramphenicol 30.3\% and ciprofloxacin 26.1\%) \hyperref[b13]{(13)}.\par
In most of tested H. influenzae isolates, high resistance rate to tetracycline (100\%), ampicillin (50\%) and trimethoprim-sulfamethoxazole (100\%) were observed. These findings are similar with studies conducted in USA (47\% resistance to ampicillin) \hyperref[b18]{(17)} and Nigeria (93.7\% resistance to trimethoprim-sulfamethoxazole) (13), but is not as high as that observed in other countries such as in China (>90\% susceptibility to most antibiotics) \hyperref[b17]{(16)}.\par
The differences in antibiotic resistance patterns may be due to variations in the antibiotic prescribing habits in different geographical regions.\par
V. 
\section[{Conclusion}]{Conclusion}\par
In the present study, most bacterial isolates were susceptible to ceftriaxone and ciprofloxacin. However, antimicrobial resistance including Multidrug resistance was observed to a number of commonly used antibiotics, such as trimethoprimsulfamethoxazole, penicillin group and doxycycline. Hence, it is important to periodically monitor the antibiotic resistance patterns to aid physicians to choose empirical treatments for better management of pneumonia.\par
VI.\begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-2.png}
\caption{\label{fig_0}}\end{figure}
  \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.7715058236272878\textwidth}P{0.014143094841930116\textwidth}P{0.010607321131447587\textwidth}P{0.016264559068219633\textwidth}P{0.01838602329450915\textwidth}P{0.01697171381031614\textwidth}P{0.0021214642262895175\textwidth}}
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Belayneh Regasa\\
\multicolumn{6}{l}{Abstract-Background: Community-acquired pneumonia (CAP)}\\
\multicolumn{6}{l}{is associated with high mortality. Drug resistance is common}\\
\multicolumn{6}{l}{in countries where the alternative treatments are limited and}\\
\multicolumn{6}{l}{available drugs are misused. In resource limited countries; it is}\\
\multicolumn{6}{l}{wise to determine antimicrobial susceptibility pattern of}\\
\multicolumn{6}{l}{common bacterial pathogens of Community acquired}\\
\multicolumn{2}{l}{pneumonia.}\tabcellsep \tabcellsep \tabcellsep \\
\multicolumn{6}{l}{Methods: A cross sectional study conducted at Arba Minch}\\
\multicolumn{6}{l}{Hospital, Southern Ethiopia from February to December 2013.}\\
Sputum\tabcellsep specimens\tabcellsep were\tabcellsep collected;\tabcellsep \multicolumn{2}{l}{microbiological}\\
\multicolumn{6}{l}{investigations and antimicrobial susceptibility testing were}\\
\multicolumn{6}{l}{performed using standard procedures. Data was processed}\\
\multicolumn{4}{l}{and analyzed with SPSS version16.0.}\tabcellsep \\
\multicolumn{6}{l}{Results: Out of 170 cases, only 73 (42.9\%) were culture}\\
\multicolumn{6}{l}{positive. Majority of tested bacterial isolates (>86\%) were}\\
\multicolumn{6}{l}{sensitive to Ceftriaxone and Ciprofloxacin. Most Streptococcus}\\
\multicolumn{6}{l}{pneumoniae isolates (60\%) were resistant to Oxacillin. Most of}\\
\multicolumn{6}{l}{Staphylococcus aureus and gram negative bacterial isolates}\\
\multicolumn{6}{l}{were resistance to Tetracycline (100\%), Penicillin (83.3\%),}\\
Ampicillin\tabcellsep (50-100\%),\tabcellsep \multicolumn{2}{l}{Doxycycline}\tabcellsep \multicolumn{2}{l}{(50-100\%),}\tabcellsep and\\
\multicolumn{3}{l}{Trimethoprim-sulfamethoxazole}\tabcellsep \multicolumn{2}{l}{(83.3-100\%).}\tabcellsep Multidrug\\
\multicolumn{6}{l}{resistance (MDR) was observed to most (60.3\%) bacterial}\\
isolates.\tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_0}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{1} \par 
\begin{longtable}{P{0.12378640776699028\textwidth}P{0.23106796116504852\textwidth}P{0.4951456310679611\textwidth}}
Variables\tabcellsep \tabcellsep Number (\%)\\
Sex\tabcellsep Male\tabcellsep 95 (55.9)\\
\tabcellsep Female\tabcellsep 75 (44.1)\\
Age\tabcellsep 15-25\tabcellsep 23 (13.5)\\
\tabcellsep 26-45\tabcellsep 67 (39.5)\\
\tabcellsep 46-65\tabcellsep 63 (37)\\
\tabcellsep >65\tabcellsep 17(10)\end{longtable} \par
 
\caption{\label{tab_1}Table 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{2} \par 
\begin{longtable}{P{0.85\textwidth}}
2013\end{longtable} \par
 
\caption{\label{tab_2}Table 2 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{3} \par 
\begin{longtable}{P{0.12948028673835124\textwidth}P{0.5651433691756272\textwidth}P{0.1553763440860215\textwidth}}
\tabcellsep Hospital, 2013\tabcellsep \\
Bacterial Isolates\tabcellsep Resistance Antibiogram\tabcellsep No (\%)\\
S. pneumoniae\tabcellsep OXA, TE\tabcellsep 2 (10)\\
(n=20)\tabcellsep OXA, TE, C, E\tabcellsep 1 (5)\\
\tabcellsep OXA, TE, P, AMP\tabcellsep 2 (12.5)\\
S. aureus (n=18)\tabcellsep OXA, AMP, E, DO, TMP-STX\tabcellsep 1 (6.3)\\
\tabcellsep P, TE, E, DO, TMP-STX\tabcellsep 1 (6.3)\\
\tabcellsep OXA, AMP, TE, E, DO, TMP-STX\tabcellsep 2 (12.5)\\
\tabcellsep OXA, AMP, P, TE, E, TMP-STX\tabcellsep 1 (6.3)\\
\tabcellsep OXA, AMP, P, TE, DO, TMP-STX\tabcellsep 1 (6.3)\\
\tabcellsep OXA, AMP, P, TE, DO, E, TMP-STX\tabcellsep 1 (6.3)\\
\tabcellsep OXA, AMP, P, TE, DO, C, E, CIP, TMP-STX\tabcellsep 1 (6.3)\\
\tabcellsep OXA, AMP, P, TE, C, E, CN, CRO, TMP-STX\tabcellsep 2 (12.5)\\
\tabcellsep OXA, AMP, P, TE, C, E, CN, CRO, CIP, TMP-STX\tabcellsep 4 (25)\\
P. aeruginosa\tabcellsep CN, CRO\tabcellsep 2 (20)\\
(n=12)\tabcellsep CN, CRO, CIP\tabcellsep 2 (20)\\
K. pneumoniae\tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_3}Table 3 :}\end{figure}
 		 		\backmatter   			 
\subsection[{Acknowledgements}]{Acknowledgements}\par
The author would like to thank those who were involved in this research. 			  			 
\subsection[{Competing interest}]{Competing interest}\par
The author declared that there is no any relevant competing interest to disclose in this research.			 			  				\begin{bibitemlist}{1}
\bibitem[ Indian J Chest Dis Allied Sci ()]{b6}\label{b6} 	 		\textit{},  	 	 		\textit{Indian J Chest Dis Allied Sci}  		2008. 50 p. .  	 
\bibitem[ Indian J Chest Dis Allied Sci ()]{b14}\label{b14} 	 		\textit{},  	 	 		\textit{Indian J Chest Dis Allied Sci}  		2008. 50 p. .  	 
\bibitem[Egbagbe and Mordi ()]{b16}\label{b16} 	 		‘Aetiology of Lower Respiratory Tract Infection in Benin City’.  		 			E E Egbagbe 		,  		 			R M Mordi 		.  	 	 		\textit{Nigeria. JMBR}  		2006. 5  (2)  p. .  	 
\bibitem[Scott et al. ()]{b15}\label{b15} 	 		‘Aetiology, outcome and risk factors for mortality among adults with acute pneumonia in Kenya’.  		 			J A Scott 		,  		 			A J Hall 		,  		 			C Muyodi 		.  	 	 		\textit{Lancet}  		2000. 355 p. .  	 
\bibitem[Wang et al. ()]{b17}\label{b17} 	 		‘Antimicrobial susceptibility of community-acquired respiratory tract pathogens isolated from adults in China during’.  		 			H Wang 		,  		 			Y L Liu 		,  		 			M J Chen 		.  	 	 		\textit{Zhonghua Jie He He Hu Xi Za Zhi}  		2009. 2010. 2012 Feb. 35  (2)  p. .  	 
\bibitem[Hashemi and Soozanchi ()]{b12}\label{b12} 	 		‘Bacterial etiology and antimicrobial resistance of community-acquired pneumonia in the elderly and younger adults’.  		 			S H Hashemi 		,  		 			G Soozanchi 		,  		 			Jamal-Omidi S J 		.  	 	 		\textit{Tropical doctor}  		2010. 40 p. .  	 
\bibitem[Selman et al. ()]{b11}\label{b11} 	 		‘Changes in single-and multiple-drug resistance among Streptococcus pneumoniae over three years’.  		 			L J Selman 		,  		 			D C Mayfield 		,  		 			C Thornsberry 		.  	 	 		\textit{Program and abstracts of the 40th Interscience Conference on Antimicrobial Agents and Chemotherapy},  				 (Toronto, Canada; Washington, DC)  		1997-2000. 2000. American Society for Microbiology.  	 	 (abstract 1789) 
\bibitem[Guthrie ()]{b4}\label{b4} 	 		‘Community-acquired lower respiratory tract infections: etiology and treatment’.  		 			R Guthrie 		.  	 	 		\textit{Chest}  		2001. 20 p. .  	 
\bibitem[Bosker (2002)]{b1}\label{b1} 	 		‘Community-acquired pneumonia (CAP) year 2002 antibiotic selection and management update’.  		 			G Bosker 		.  	 	 		\textit{Hospital Medicine Consensus Reports}  		1 March 2002. p. .  	 
\bibitem[Cheesbrough ()]{b9}\label{b9} 	 		\textit{District Laboratory Practice in Tropical Countries. Part 2. 2nd ed. Cambridge University},  		 			M Cheesbrough 		.  		2006. p. .  	 
\bibitem[Doern et al. ()]{b18}\label{b18} 	 		‘Haemophilus influenzae and Moraxella catarrhalis from patients with community-acquired respiratory tract infections: antimicrobial susceptibility patterns from the SENTRY Antimicrobial Surveillance Program (United States and Canada’.  		 			G V Doern 		,  		 			R N Jones 		,  		 			M A Pfaller 		.  	 	 		\textit{Antimicrob Agents Chemother}  		1997. 1999. 43 p. .  	 
\bibitem[Okesola and Ige]{b5}\label{b5} 	 		 			A O Okesola 		,  		 			O Ige 		.  		\textit{Bacterial Pathogens of Lower Respiratory Tract Infections},  				 	 
\bibitem[Okesola and Ige]{b13}\label{b13} 	 		 			A O Okesola 		,  		 			O Ige 		.  		\textit{Bacterial Pathogens of Lower Respiratory Tract Infections},  				 	 
\bibitem[Performance Standards for antimicrobial susceptibility testing 20th Informational Supplement. M100-S20 ()]{b10}\label{b10} 	 		‘Performance Standards for antimicrobial susceptibility testing’.  	 	 		\textit{20th Informational Supplement. M100-S20},  				2010.  		 			National Committee for Clinical Laboratory Standards (NCCLS ; Clinical and Laboratory Standards Institute. Pennsylvania. USA 		 	 
\bibitem[Mohammed et al. ()]{b8}\label{b8} 	 		‘Prevalence of acute respiratory bacterial pathogens in children in Gondar’.  		 			E Mohammed 		,  		 			L Muhe 		,  		 			A Geyid 		.  	 	 		\textit{Ethiop J Heath Dev}  		2004. 14  (2)  p. .  	 
\bibitem[Hui et al. ()]{b3}\label{b3} 	 		‘Prospective study of the etiology of adult community acquired bacterial pneumonia needing hospitalization in Singapore’.  		 			K P Hui 		,  		 			N K Chin 		,  		 			K Chow 		.  	 	 		\textit{Singapore Med J}  		1993. 34 p. .  	 
\bibitem[Lim et al. ()]{b7}\label{b7} 	 		‘Reducing the global burden of acute lower respiratory infections in children: the contribution of new diagnostics’.  		 			Y Lim 		,  		 			M Steinhoff 		,  		 			F Girosi 		.  	 	 		\textit{Nature}  		2006. p. .  	 
\bibitem[Gleason ()]{b2}\label{b2} 	 		‘The emerging role of atypical pathogens in community acquired pneumonia’.  		 			P P Gleason 		.  	 	 		\textit{Pharmacotherapy}  		2002. 22 p. .  	 
\bibitem[Schouten et al. ()]{b0}\label{b0} 	 		‘Understanding variation in quality of antibiotic use for community-acquired pneumonia: effect of patient, professional and hospital factors’.  		 			J Schouten 		,  		 			M Hulscher 		,  		 			B Kullberg 		.  	 	 		\textit{J Antimic Chemo}  		2005. 56 p. .  	 
\end{bibitemlist}
 			 		 	 
\end{document}
