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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">KJIM</journal-id>
<journal-title-group>
<journal-title>The Korean Journal of Internal Medicine</journal-title><abbrev-journal-title>Korean J Intern Med</abbrev-journal-title></journal-title-group>
<issn pub-type="ppub">1226-3303</issn>
<issn pub-type="epub">2005-6648</issn>
<publisher>
<publisher-name>The Korean Association of Internal Medicine</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3904/kjim.2015.257</article-id>
<article-id pub-id-type="publisher-id">kjim-2015-257</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
<subj-group subj-group-type="heading">
<subject>Infectious diseases</subject>
</subj-group></subj-group></article-categories>
<title-group>
<article-title>Changing trends in clinical characteristics and antibiotic susceptibility of <italic>Klebsiella pneumoniae</italic> bacteremia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Hyun</surname><given-names>Miri</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-257"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Noh</surname><given-names>Chang In</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-257"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ryu</surname><given-names>Seong Yeol</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2015-257"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kim</surname><given-names>Hyun Ah</given-names></name>
<xref ref-type="corresp" rid="c1-kjim-2015-257"/>
<xref ref-type="aff" rid="af1-kjim-2015-257"/>
</contrib>
<aff id="af1-kjim-2015-257">
Department of Infectious Diseases, Keimyung University Dongsan Medical Center, Daegu, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-kjim-2015-257">Correspondence to Hyun Ah Kim, M.D. Department of Infectious Diseases, Keimyung University Dongsan Medical Center, 56 Dalseongro, Jung-gu, Daegu 41931, Korea Tel: +82-53-250-7892 Fax: +82-53-250-7434 E-mail: <email>hyunah1118@hanmail.net</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>5</month>
<year>2018</year></pub-date>
<pub-date pub-type="epub">
<day>10</day>
<month>11</month>
<year>2017</year></pub-date>
<volume>33</volume>
<issue>3</issue>
<fpage>595</fpage>
<lpage>603</lpage>
<history>
<date date-type="received">
<day>5</day>
<month>08</month>
<year>2015</year></date>
<date date-type="rev-recd">
<day>1</day>
<month>02</month>
<year>2016</year></date>
<date date-type="accepted">
<day>12</day>
<month>01</month>
<year>2017</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2018 The Korean Association of Internal Medicine</copyright-statement>
<copyright-year>2018</copyright-year>
<license>
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0/</ext-link>) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract>
<sec><title>Background/Aims</title>
<p><italic>Klebsiella pneumoniae</italic> is second most common organism of gram-negative bacteremia in Korea and one of the most common cause of urinary tract infection, and intra-abdominal infection.</p></sec>
<sec><title>Methods</title>
<p>We compared clinical and microbiological characteristics about <italic>K. pneumoniae</italic> bacteremia in a tertiary hospital between 10 years. Group A is who had <italic>K. pneumoniae</italic> bacteremia at least one time from January 2004 to December 2005. Group B is from January 2012 to December 2013. We also analyzed antibiotic resistance, clinical manifestation of the <italic>K. pneumoniae</italic> bacteremia divided into community-acquired infections, healthcare associated infections, and nosocomial infections.</p></sec>
<sec><title>Results</title>
<p>The resistance for ampicillin, aztreonam, cefazolin, and cefotaxime significantly increased compared to 10 years ago. Extended spectrum &#x003b2;-lactamase positivity surged from 4.3% to 19.6%. Ten years ago, 1st, 2nd cephalosporin, and aminoglycoside were used more as empirical antibiotics. But these days, empirical antibiotics were broad spectrum such as 3rd and 4th cephalosporin. In treatment outcome, acute kidney injury decreased from 47.5% to 28.7%, and mortality decreased from 48.9% to 33.2%. In community-acquired infections, there was similar in antimicrobial resistance and mortality. In healthcare-associated and nosocomial infections, there was significantly increasing in antibiotic resistance, decreasing in mortality, and acute kidney injury.</p></sec>
<sec><title>Conclusions</title>
<p>In community-acquired infections, broader antibiotics were more used than 10 years ago despite of similar antimicrobial resistance. When <italic>K. pneumoniae</italic> bacteremia is suspected, we recommend to use the narrow spectrum antibiotics as initial therapy if there are no healthcare-associated risk factors, because the antibiotic resistance is similar to 10 years ago in community-acquired infections.</p></sec>
</abstract>
<kwd-group>
<kwd>Klebsiella pneumoniae</kwd>
<kwd>Bacteremia</kwd>
<kwd>Drug resistance</kwd>
</kwd-group>
</article-meta></front>
<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p><italic>Klebsiella pneumoniae</italic> is a gram-negative rod-shaped bacteria that can cause urinary tract infection, pneumonia, and intra-abdominal infection. <italic>K. pneumoniae</italic> is the main cause of hepatobiliary infection in community-acquired infections and urinary tract infection, pneumonia in healthcare-associated infections and nosocomial infections &#x0005b;<xref ref-type="bibr" rid="b1-kjim-2015-257">1</xref>,<xref ref-type="bibr" rid="b2-kjim-2015-257">2</xref>&#x0005d;.</p>
<p><italic>K. pneumoniae</italic> is the second most common gram-negative bacteria, following to <italic>Escherichia coli</italic>, and one of the most important bacteria of mortality and morbidity. It has been the most common cause of liver abscess in East Asia since the 1990s. The association of <italic>K. pneumoniae</italic> and liver abscess in Korea has been known since the 1990s &#x0005b;<xref ref-type="bibr" rid="b1-kjim-2015-257">1</xref>&#x0005d;.</p>
<p>Recently, antimicrobial resistance of gram-negative bacteria has been gradually increased worldwide &#x0005b;<xref ref-type="bibr" rid="b3-kjim-2015-257">3</xref>&#x0005d;. According to a report of South Korea, the prevalence of <italic>K. pneumoniae</italic> which resistant to ciprofloxacin was increased from 17.1% in 2006 to 26.5% in 2011, and the proportion of multidrug-resistant <italic>K. pneumoniae</italic> producing extended spectrum &#x003b2;-lactamase (ESBL) increased from 13.6% in 2006 to 2007 to 28.5% in 2011 &#x0005b;<xref ref-type="bibr" rid="b4-kjim-2015-257">4</xref>&#x0005d;.</p>
<p>The aim of this study is to find out the trends of <italic>K. pneumoniae</italic> bacteremia during the last 10-year period. These study groups were divided into two groups as 2004 to 2005 and 2012 to 2013, and analyzed differences about focuses of bacteremia, antibiotic resistance, empirical antibiotics, adequacies, and treatment responses. We also analyzed separately two groups for communityacquired infection and healthcare-associated infection/nosocomial infection.</p></sec>
<sec sec-type="methods">
<title>METHODS</title>
<sec>
<title>Study subjects</title>
<p>Patients who visited Keimyung University Dongsan Medical Center and had <italic>K. pneumoniae</italic> bacteremia were divided into two groups, as group A was between January 2004 and December 2005 and group B was between January 2012 and December 2013, respectively. Patients under 18 years old or polymicrobial bacteremia were excluded. Patients who were transferred to other hospitals during treatment were also excluded. There were the 169 <italic>K. pneumoniae</italic> bacteremia cases in group A; eight patients were excluded for the polymicrobial bacteremia; nine children were excluded; and 12 patients were excluded for transferred to other hospitals. There were the 230 <italic>K. pneumoniae</italic> bacteremia cases in group B; four patients were excluded for the polymicrobial bacteremia; six children were excluded; and 16 patients were excluded for transferred to other hospitals (<xref rid="f1-kjim-2015-257" ref-type="fig">Fig. 1</xref>). One hundred and forty patients in group A and 204 patients in group B were retrospectively investigated.</p>
</sec>
<sec>
<title>Study item</title>
<p>Medical records, including underlying diseases, previous antibiotics, previous admissions of intensive care unit (ICU), antibiotic resistance rates, clinical features, and treatments, were retrospectively analyzed. Age and sex in two groups were compared; antibiotics resistance rates and empirical antibiotics were compared and analyzed by each group. The focus of infection was determined according to physician&#x02019;s diagnosis based on patient symptoms, physical examination findings, and detections of <italic>K. pneumoniae</italic> in other samples.</p>
<p>Community-acquired infections were defined as those in which symptoms occurred within 48 hours after visiting the hospital. Nosocomial infections were defined as those in which symptoms occurred 48 hours after hospital admission. Patients with community-acquired infections who had healthcare-associated risk factors were categorized as healthcare-associated infections. Healthcare-associated risk factors were hospitalization within 90 days, received dialysis, taken intravenous medication in outpatient clinics, or resided in long-term care facilities.</p>
<p>Pitt bacteremia score was calculated based on temperature (35.1&#x000b0;C to 36&#x000b0;C or 39.0&#x000b0;C to 39.9&#x000b0;C, 1 point; &#x02264; 35&#x000b0;C or &#x02265; 40&#x000b0;C, 2 points), blood pressure (hypotension, 2 points), mental status (disorientation, 1 point; stupor, 2 points; coma, 4 points), respiratory status (mechanical ventilation, 2 points), and cardiac status (cardiac arrest, 4 points). The worst reading was recorded on the day the first positive blood culture was obtained or the day before for nosocomial bloodstream infections.</p>
<p>Treatment outcome was evaluated after 72 hours of empirical antibiotics, based on infection-related mortality, admission of ICU, acute kidney injury, mechanical ventilation, recurrence of bacteremia, and laboratory tests. Treatment outcome was classified as complete response, partial response, and treatment failure. Complete response was defined as both laboratory findings and clinical states were improved. Partial response was defined as either laboratory findings or clinical states was improved. Treatment failure was defined as both were worsened and infection-related death. If patient died of <italic>K. pneumoniae</italic> bacteremia or complication of infection, we defined this situation as infection-related death. Acute kidney injury was defined as increase in serum creatinine by &gt; 0.3 mg/dL within 48 hours; or increase in serum creatinine to &gt; 1.5 times baseline, which have occurred within the prior 7 days; or urine volume &lt; 0.5 mL/kg/hr for 6 hours.</p>
</sec>
<sec>
<title>Statistics</title>
<p>Statistical analysis was performed using SPSS version 21.0 (IBM Co., Armonk, NY, USA) and MedCalc for Windows version 16.4.1. (MedCalc Software, Ostend, Belgium). Binary data were compared using the chi-square test and continuous scaled analysis were compared using Student <italic>t test</italic>. The data were confirmed to have a normal distribution; mean values were used as representative values. Statistical significance was defined as <italic>p</italic> values less than 0.05 and Kaplan-Meier survival analysis was used to test for correlations between clinical features, mortality, and hazard ratio.</p>
</sec>
</sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>Basic characteristics of study group</title>
<p>In group A, 140 patients were included; 86 (61.4%) were males; and the mean age was 68.5 years. In group B, 204 patients were included; 116 (56.9%) were males; and the mean age was 68.0 years. There were no statistically significant differences in gender or age between two groups.</p>
<p>Analysis of underlying diseases revealed that group B had significantly higher incidence of cardiovascular and cerebrovascular disease than group A. Incidence rates of community-acquired, healthcare-associated infections and nosocomial infections were each 53%, 20.1%, and 26.6% in group A, and 45.6%, 27.5%, and 27% in group B, respectively (<xref rid="t1-kjim-2015-257" ref-type="table">Table 1</xref>). Mean Pitt score was 4.81 in group A and 2.93 in group B and that was statistically significant. In community-acquired infection, Pitt score was 4.15 in group A and 3.41 in group B. In healthcare-associated infection/nosocomial infections, Pitt score was 5.43 in group A and 2.53 in group B.</p>
<p>In community-acquired infections, hepatobiliary infections were most prevalent, 43.2% and 48.4% each in group A and B. In nosocomial infections, pneumonia was the most prevalent with rates of 16.7% and 24.3% each in group A and B, followed by hepatobiliary infections, with rates of 21.2% and 17.1% each in group A and B, but this difference between group A and B was not statistically significant.</p>
</sec>
<sec>
<title>Comparison of antibiotic resistance, empirical antibiotics, and antibiotic adequacy</title>
<p>Previous antibiotics within 1 month had increased significantly compared to 10 years before (7.9% vs. 27.1%, <italic>p</italic> &#x0003d; 0.001); however, the types of antibiotics did not differ significantly.</p>
<p>Antibiotic resistance had increased between group A and B significantly. Rates of ESBL-producing bacteria, and resistance to aztreonam, cefotaxime, and cefepime increased significantly over time (<xref rid="t2-kjim-2015-257" ref-type="table">Table 2</xref>). Antibiotic resistance was analyzed separately for community-acquired, and healthcare-associated infections/nosocomial infections. It showed no differences in community-acquired infections between group A and B. However, antibiotic resistance for healthcare-associated infections/nosocomial infections increased significantly compared to 10 years previously (<xref rid="t3-kjim-2015-257" ref-type="table">Table 3</xref>).</p>
<p>Ten years before, second-generation cephalosporin and aminoglycoside were most commonly used as empirical antibiotics. Recently, broad-spectrum antibiotics such as fourth-generation cephalosporin, carbapenem, and vancomycin were commonly used as empirical antibiotics and it increased significantly (<xref rid="f2-kjim-2015-257" ref-type="fig">Fig. 2</xref>). In analysis of empirical antibiotics, broad-spectrum antibiotics had increased, such as fourth-generation cephalosporin and carbapenem, especially in community-acquired infections (<xref rid="t4-kjim-2015-257" ref-type="table">Table 4</xref>).</p>
<p>Comparison of adequacy of empirical antibiotics according to antibiotic susceptibility showed that use of broad-spectrum antibiotics compared with antimicrobial resistance increased significantly compared to past (5.0% vs. 28.5%, <italic>p</italic> &#x0003d; 0.001).</p>
</sec>
<sec>
<title>Comparison of treatment outcomes</title>
<p>Assessment of treatment outcome after 72 hours of management revealed improvement in group B. Complete response was in 3.6% and 25.2% of group A and group B patients, partial response in 59.7% and 40.6%, and treatment failure in 31.6% and 34.2%. Rates of acute kidney injury, mechanical ventilation, and 30-day mortality were decreased in group B, significantly (<xref rid="t5-kjim-2015-257" ref-type="table">Table 5</xref>).</p>
<p>In healthcare-associated infection/nosocomial infection, overall treatment outcome has improved. Specifically, complete response increased in group B compared to group A, and the treatment failure, 30-day mortality, and mechanical ventilation was decreased in group B compared to group A. They were also significantly reduced (<xref rid="t6-kjim-2015-257" ref-type="table">Table 6</xref>).</p>
<p>In community-acquired infection, treatment outcome was improved overall. Complete response was observed in 25% of patients in group B compared to 5.5% in group A, while treatment failure increased to 31.5% in group B from 30.1% in group A. Differences between the occurrence rates of two groups of acute kidney injury, mechanical ventilation, and 30-day mortality were not statistically significant (<xref rid="t6-kjim-2015-257" ref-type="table">Table 6</xref>).</p>
<p>Kaplan-Meier survival analysis was performed to recognize the difference in survival rates between group A and B (<xref rid="f3-kjim-2015-257" ref-type="fig">Fig. 3</xref>). In group B, survival rates increased significantly compared to group A (hazard ratio, 1.53; 95% CI, 1.08 to 2.18; <italic>p</italic> &#x0003d; 0.011).</p>
</sec>
</sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>There have been reports of community-acquired highly pathogenic strains of <italic>K. pneumoniae</italic> infections in South Korea. Hypervirulent K1 and K2 serotypes of <italic>K. pneumoniae</italic> were first identified as important causes of liver abscess in community-acquired infections since the 1990s &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2015-257">5</xref>&#x0005d;. But, investigations of overall <italic>K. pneumoniae</italic> bacteremia are insufficient in South Korea. Therefore, this study was aim to analyze focuses of <italic>K. pneumoniae</italic> bacteremia, antimicrobial resistance, clinical characteristics, and risk factors among patients who visited a tertiary medical center between 2003 to 2004 (group A) and 2012 to 2013 (group B), retrospectively.</p>
<p>In this study, liver abscess and other hepatobiliary infection, urinary tract infection, and pneumonia were frequent cause of <italic>K. pneumoniae</italic> bacteremia, but not statistically significant. Liver abscess was most prevalent, followed by urinary tract infections in community-acquired infections, while pneumonia and urinary tract infections were most prevalent in healthcare-associated infections and nosocomial infections. These findings are in accordance with other investigations conducted in South Korea as well as overseas. Other South Korean studies have reported that intra-abdominal infections and urinary tract infections to be the most prevalent cause of community-acquired <italic>K. pneumoniae</italic> bacteremia during the same period; intra-abdominal infection, pneumonia, and urinary tract infection were the most prevalent causes of nosocomial <italic>K. pneumoniae</italic> bacteremia &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2015-257">6</xref>,<xref ref-type="bibr" rid="b7-kjim-2015-257">7</xref>&#x0005d;. In a study conducted overseas, liver abscess was prevalent in community-acquired infections, whereas pneumonia and catheter-associated infection were common in nosocomial infections &#x0005b;<xref ref-type="bibr" rid="b8-kjim-2015-257">8</xref>&#x0005d;.</p>
<p>Worldwide, the antibiotic resistance rates of gramnegative bacteria, including <italic>K. pneumoniae</italic>, are gradually increasing &#x0005b;<xref ref-type="bibr" rid="b4-kjim-2015-257">4</xref>&#x0005d;. This study found that recent antibiotic resistance of <italic>K. pneumoniae</italic> in healthcare-associated infections and nosocomial infections was significantly increased compared to 10 years before. In subgroup analysis, antibiotic resistance was similar in community-acquired infection, and the recent increased antibiotic resistance was due to increased resistance in healthcare-associated infections and nosocomial infections. We found that antibiotics susceptibility of communityacquired <italic>K. pneumoniae</italic> bacteremia has been maintained for 10 years.</p>
<p>A study in South Korea showed that the rates of resistance to third-generation cephalosporin in communityacquired <italic>E. coli</italic> or <italic>K. pneumoniae</italic> infections increased from 6.1% in 2003 to 2008 to 10.6% in 2009. In ICU patients with gram-negative bacteremia, ciprofloxacin was the most adequate antibiotic in 1999 &#x0005b;<xref ref-type="bibr" rid="b9-kjim-2015-257">9</xref>&#x0005d;. In 2005, however, imipenem and tobramycin were reported adequate antibiotics rather than ciprofloxacin &#x0005b;<xref ref-type="bibr" rid="b10-kjim-2015-257">10</xref>&#x0005d;. This result shows antibiotic resistance of gram-negative bacteria in ICU has been increased.</p>
<p>This study compared community-acquired infections and healthcare-associated infections/nosocomial infections during the same period, and found that healthcare-associated infections/nosocomial infections had higher mortality, although the difference was reduced compared to 10 years previously.</p>
<p>A study by Kang et al. &#x0005b;<xref ref-type="bibr" rid="b1-kjim-2015-257">1</xref>&#x0005d; reported that nosocomial <italic>K. pneumoniae</italic> infections had a 32.3% of 30-day mortality, significantly higher than 16.2% for communityacquired infections. Factors influencing on mortality included inadequate empirical antibiotics, inadequate susceptible antibiotics, admission to ICU, septic shock, neutropenia, and use of immunosuppressants &#x0005b;<xref ref-type="bibr" rid="b11-kjim-2015-257">11</xref>&#x0005d;.</p>
<p>In this study, treatment outcome after 72 hours showed better and 30-day mortality was reduced compared to 10 years previously. Pitt score was decreased compared to 10 years previously, and it was statistically significant. Sepsis treatment guidelines are continuously changed; recent guideline suggested that providing sufficient fluids within the first 6 hours and prompt use of vasopressors in order to maintain central venous pressure of 8 to 12 mmHg, mean arterial pressure of 60 mmHg, and hourly urine volume of 0.5 mL/kg to achieve early treatment in patients with suspected sepsis &#x0005b;<xref ref-type="bibr" rid="b12-kjim-2015-257">12</xref>&#x0005d;. This practice may have improved treatment response within the first 72 hours and reduced acute kidney injury due to infection or ischemia which sometimes accompanies sepsis &#x0005b;<xref ref-type="bibr" rid="b9-kjim-2015-257">9</xref>&#x0005d;.</p>
<p>Morbidity and mortality of <italic>K. pneumoniae</italic> bacteremia are gradually increasing, according to a South Korean study that analyzed 147 patients with gram-negative bacteremia. <italic>K. pneumoniae</italic> bacteremia was 5.4% of gram-negative bacteremia, and its mortality was 37.5%, higher mortality than other gram-negative bacterial infections &#x0005b;<xref ref-type="bibr" rid="b3-kjim-2015-257">3</xref>,<xref ref-type="bibr" rid="b9-kjim-2015-257">9</xref>,<xref ref-type="bibr" rid="b13-kjim-2015-257">13</xref>&#x0005d;.</p>
<p>This study revealed that in community-acquired infection, Pitt score was decreased from 4.15 to 3.41 between 10 years and antimicrobial resistance was similar, but use of broad-spectrum antibiotics increased from 4.1% to 35.5%. According to these results, there was no change of antimicrobial resistance in community-acquired infections between two groups. It means that if <italic>K. pneumoniae</italic> bacteremia is suspicious and healthcareassociated infection is excluded, excessive use of broadspectrum antibiotics in the early stage of disease may be reduced. Excessive use of broad-spectrum antibiotics makes more antibiotic resistance &#x0005b;<xref ref-type="bibr" rid="b14-kjim-2015-257">14</xref>&#x0005d;. Therefore, adequate use of empirical antibiotics in communityacquired infection will help prevent antimicrobial resistance and reduce medical costs from inadequate use of expensive broad-spectrum antibiotics. In group A, 12% were inappropriate for initial empirical antibiotic and in group B, 15% were in appropriate. That was not statistically significant. Among cases of inappropriate empirical antibiotics, 5% was changed to definite antibiotics in group A, and 37.3% of group B was changed to definite antibiotics after identifying antibiotic susceptibility results. The change of the appropriate antibiotic might have influenced the mortality. However, antibiotic resistance dramatically increased among healthcareassociated infections and nosocomial infections. Use of broad-spectrum antibiotics in early stage may be considered for patients with risk factors of nosocomial or healthcare-associated infections.</p>
<p>This study was conducted in order to announce that broad-spectrum antibiotics were increased steadily despite of similar antimicrobial resistance in community-acquired <italic>K. pneumoniae</italic> bacteremia compared to 10 years before. Therefore, we agitate use of narrow spectrum antibiotics, if the patient has community-acquired Klebsiella bacteremia and doesn&#x02019;t have risk factors of healthcare-associated bacterial infection. We intent to announce in this study when community-acquired <italic>K. pneumoniae</italic> bacteremia is suspected, like liver abscess or urinary tract infection, clinicians may need to reduce the use of broad spectrum antibiotics as initial treatment.</p>
<p>There are several potential limitations in this study. Firstly, this study was retrospective, conducted in a tertiary hospital, and relied on microbiological culture results, which may introduce bias in the data interpretation. Secondly, we should acknowledge that the patients included in this study were in a tertiary hospital and might be more severe than primary medical center. Despite of these limitations, we discovered the trends about antimicrobial resistance and pattern of antimicrobial prescription of <italic>K. pneumoniae</italic> bacteremia over 10 years.</p>
</sec>
<sec>
<title>KEY MESSAGE</title>
<boxed-text position="float" orientation="portrait">
<p>1. This study showed that the overall antibiotic resistance rate of <italic>Klebsiella pneumoniae</italic> increased significantly compared to 10 years previously.</p>
<p>2. In community-acquired infections, the antibiotic resistance was not increased and Pitt bacteremia score was decreased than 10 years previously.</p>
<p>3. For both community-acquired and healthcare-associated infections, broad-spectrum antibiotics are more commonly used for empirical treatment compared to 10 years previously.</p>
<p>4. Unnecessary use of broad spectrum antibiotics can be reduced if <italic>K. pneumoniae</italic> bacteremia is suspicious and there are no healthcare risk factors, because antibiotic resistance in community-acquired <italic>K. pneumoniae</italic> bacteremia was not increased.</p>
</boxed-text>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="conflict"><p>No potential conflict of interest relevant to this article was reported.</p></fn>
</fn-group>
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<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-kjim-2015-257" position="float">
<label>Figure 1.</label><caption><p>Enrollment of patients in the study.</p></caption>
<graphic xlink:href="kjim-2015-257f1.tif"/>
</fig>
<fig id="f2-kjim-2015-257" position="float">
<label>Figure 2.</label><caption><p>Comparison of empirical antibiotics.</p></caption>
<graphic xlink:href="kjim-2015-257f2.tif"/>
</fig>
<fig id="f3-kjim-2015-257" position="float">
<label>Figure 3.</label><caption><p>Comparison of cumulative survival between two groups.</p></caption>
<graphic xlink:href="kjim-2015-257f3.tif"/>
</fig>
<table-wrap id="t1-kjim-2015-257" position="float">
<label>Table 1.</label>
<caption><p>Comparison of <italic>Klebsiella pneumoniae</italic> bacteremia according to sex and category of infection</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Group A<sup><xref rid="tfn1-kjim-2015-257" ref-type="table-fn">a</xref></sup> (n = 140)</th>
<th align="center" valign="middle">Group B<sup><xref rid="tfn2-kjim-2015-257" ref-type="table-fn">b</xref></sup> (n = 204)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Age (yr)</td>
<td align="center" valign="top">68.5 &#x000B1; 11</td>
<td align="center" valign="top">68 &#x000B1; 14</td>
<td align="center" valign="top">0.308</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.436</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="center" valign="top">86 (61.4)</td>
<td align="center" valign="top">116 (56.9)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="center" valign="top">54 (38.6)</td>
<td align="center" valign="top">88 (43.1)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Category of infection</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.155</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Community-acquired</td>
<td align="center" valign="top">75 (53.2)</td>
<td align="center" valign="top">93 (45.6)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Healthcare-associated</td>
<td align="center" valign="top">25 (20.1)</td>
<td align="center" valign="top">56 (27.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Nosocomial</td>
<td align="center" valign="top">37 (26.6)</td>
<td align="center" valign="top">55 (27.0)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Comorbidity</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Solid tumor</td>
<td align="center" valign="top">43 (30.7)</td>
<td align="center" valign="top">73 (36.1)</td>
<td align="center" valign="top">0.353</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Hematologic malignancy</td>
<td align="center" valign="top">6 (4.3)</td>
<td align="center" valign="top">15 (7.4)</td>
<td align="center" valign="top">0.261</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Cardiovascular disease</td>
<td align="center" valign="top">34 (24.3)</td>
<td align="center" valign="top">96 (47.5)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Neurovascular disease</td>
<td align="center" valign="top">15 (10.8)</td>
<td align="center" valign="top">40 (19.8)</td>
<td align="center" valign="top">0.035</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Diabetes mellitus</td>
<td align="center" valign="top">48 (34.3)</td>
<td align="center" valign="top">75 (37.1)</td>
<td align="center" valign="top">0.647</td>
</tr>
<tr>
<td align="left" valign="top">Origin of infection</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Hepatobiliary infection</td>
<td align="center" valign="top">46 (32.9)</td>
<td align="center" valign="top">64 (31.4)</td>
<td align="center" valign="top">0.814</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Urinary tract infection</td>
<td align="center" valign="top">24 (17.1)</td>
<td align="center" valign="top">35 (17.2)</td>
<td align="center" valign="top">1.000</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Respiratory infection</td>
<td align="center" valign="top">21 (15.0)</td>
<td align="center" valign="top">34 (16.7)</td>
<td align="center" valign="top">0.765</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Intra-abdominal infection</td>
<td align="center" valign="top">14 (10.0)</td>
<td align="center" valign="top">20 (9.8)</td>
<td align="center" valign="top">1.000</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Surgical site infection</td>
<td align="center" valign="top">3 (2.1)</td>
<td align="center" valign="top">3 (1.5)</td>
<td align="center" valign="top">0.691</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Catheter related infection</td>
<td align="center" valign="top">1 (0.7)</td>
<td align="center" valign="top">8 (3.9)</td>
<td align="center" valign="top">0.089</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;CNS infection</td>
<td align="center" valign="top">1 (0.7)</td>
<td align="center" valign="top">1 (0.5)</td>
<td align="center" valign="top">1.000</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Bone/joint infection</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">2 (1.0)</td>
<td align="center" valign="top">0.516</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as mean &#x000B1; SD or number (%).</p>
<p>CNS, central nervous system.</p></fn>
<fn id="tfn1-kjim-2015-257"><label>a</label><p>Group A, 2004&#x02013;2005.</p></fn>
<fn id="tfn2-kjim-2015-257"><label>b</label><p>Group B, 2012&#x02013;2013.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t2-kjim-2015-257" position="float">
<label>Table 2.</label>
<caption><p>Comparison of antibiotic resistance</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Group A<sup><xref rid="tfn3-kjim-2015-257" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle">Group B<sup><xref rid="tfn4-kjim-2015-257" ref-type="table-fn">b</xref></sup></th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Amikacin</td>
<td align="center" valign="top">10 (7.1)</td>
<td align="center" valign="top">10 (4.9)</td>
<td align="center" valign="top">0.483</td>
</tr>
<tr>
<td align="left" valign="top">Amoxicillin/clavulanate</td>
<td align="center" valign="top">16 (11.4)</td>
<td align="center" valign="top">18 (8.8)</td>
<td align="center" valign="top">0.603</td>
</tr>
<tr>
<td align="left" valign="top">Ampicillin</td>
<td align="center" valign="top">135 (96.4)</td>
<td align="center" valign="top">204 (100)</td>
<td align="center" valign="top">0.025</td>
</tr>
<tr>
<td align="left" valign="top">Aztreonam</td>
<td align="center" valign="top">13 (9.3)</td>
<td align="center" valign="top">41 (20.1)</td>
<td align="center" valign="top">0.013</td>
</tr>
<tr>
<td align="left" valign="top">Cefazolin</td>
<td align="center" valign="top">14 (10.0)</td>
<td align="center" valign="top">43 (21.1)</td>
<td align="center" valign="top">0.013</td>
</tr>
<tr>
<td align="left" valign="top">Cefepime</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">39 (19.1)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Cefotaxime</td>
<td align="center" valign="top">10 (7.1)</td>
<td align="center" valign="top">41 (20.1)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Cefoxitin</td>
<td align="center" valign="top">7 (5.0)</td>
<td align="center" valign="top">14 (6.9)</td>
<td align="center" valign="top">0.729</td>
</tr>
<tr>
<td align="left" valign="top">Ciprofloxacin</td>
<td align="center" valign="top">9 (6.4)</td>
<td align="center" valign="top">24 (11.8)</td>
<td align="center" valign="top">0.113</td>
</tr>
<tr>
<td align="left" valign="top">Gentamicin</td>
<td align="center" valign="top">13 (9.3)</td>
<td align="center" valign="top">27 (13.2)</td>
<td align="center" valign="top">0.503</td>
</tr>
<tr>
<td align="left" valign="top">Piperacillin/tazobactam</td>
<td align="center" valign="top">10 (7.2)</td>
<td align="center" valign="top">20 (9.8)</td>
<td align="center" valign="top">0.344</td>
</tr>
<tr>
<td align="left" valign="top">Tigecycline</td>
<td align="center" valign="top">8 (5.7)</td>
<td align="center" valign="top">9 (4.4)</td>
<td align="center" valign="top">0.706</td>
</tr>
<tr>
<td align="left" valign="top">TMP/SMX</td>
<td align="center" valign="top">12 (8.6)</td>
<td align="center" valign="top">26 (12.7)</td>
<td align="center" valign="top">0.237</td>
</tr>
<tr>
<td align="left" valign="top">ESBL positivity</td>
<td align="center" valign="top">6 (4.3)</td>
<td align="center" valign="top">40 (19.6)</td>
<td align="center" valign="top">0.001</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p>
<p>TMP, trimethoprim; SMX sulfamethoxazole; ESBL, extended-spectrum &#x003B2;-lactam.</p></fn>
<fn id="tfn3-kjim-2015-257"><label>a</label><p>Group A, 2004&#x02013;2005.</p></fn>
<fn id="tfn4-kjim-2015-257"><label>b</label><p>Group B, 2012&#x02013;2013.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t3-kjim-2015-257" position="float">
<label>Table 3.</label>
<caption><p>Comparison of antibiotic resistance in community-acquired infection and healthcare associated infection/nosocomial infection between two groups</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2">Variable</th>
<th align="center" valign="middle" colspan="3">Community-acquired infection<hr/></th>
<th align="center" valign="middle" colspan="3">Healthcare-associated/nosocomial infection<hr/></th>
</tr><tr>
<th align="center" valign="middle">Group A<sup><xref rid="tfn5-kjim-2015-257" ref-type="table-fn">a</xref></sup> (n = 74)</th>
<th align="center" valign="middle">Group B<sup><xref rid="tfn6-kjim-2015-257" ref-type="table-fn">b</xref></sup> (n = 93)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
<th align="center" valign="middle">Group A<sup><xref rid="tfn5-kjim-2015-257" ref-type="table-fn">a</xref></sup> (n = 66)</th>
<th align="center" valign="middle">Group B<sup><xref rid="tfn6-kjim-2015-257" ref-type="table-fn">b</xref></sup> (n = 111)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Amikacin</td>
<td align="center" valign="top">2 (2.7)</td>
<td align="center" valign="top">1 (1.1)</td>
<td align="center" valign="top">0.585</td>
<td align="center" valign="top">8 (12.1)</td>
<td align="center" valign="top">9 (8.1)</td>
<td align="center" valign="top">0.433</td>
</tr>
<tr>
<td align="left" valign="top">Amoxicillin/clavulanate</td>
<td align="center" valign="top">5 (6.8)</td>
<td align="center" valign="top">1 (1.1)</td>
<td align="center" valign="top">0.033</td>
<td align="center" valign="top">11 (16.7)</td>
<td align="center" valign="top">17 (15.3)</td>
<td align="center" valign="top">0.851</td>
</tr>
<tr>
<td align="left" valign="top">Ampicillin</td>
<td align="center" valign="top">70 (94.6)</td>
<td align="center" valign="top">93 (100)</td>
<td align="center" valign="top">0.076</td>
<td align="center" valign="top">65 (98.5)</td>
<td align="center" valign="top">111 (100)</td>
<td align="center" valign="top">0.373</td>
</tr>
<tr>
<td align="left" valign="top">Aztreonam</td>
<td align="center" valign="top">5 (6.8)</td>
<td align="center" valign="top">5 (5.4)</td>
<td align="center" valign="top">0.752</td>
<td align="center" valign="top">8 (12.1)</td>
<td align="center" valign="top">36 (32.4)</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top">Cefazolin</td>
<td align="center" valign="top">5 (6.8)</td>
<td align="center" valign="top">6 (6.5)</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">9 (13.6)</td>
<td align="center" valign="top">37 (33.3)</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">Cefepime</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">5 (5.4)</td>
<td align="center" valign="top">0.067</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">34 (30.6)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Cefotaxime</td>
<td align="center" valign="top">3 (4.1)</td>
<td align="center" valign="top">5 (5.4)</td>
<td align="center" valign="top">0.495</td>
<td align="center" valign="top">7 (10.6)</td>
<td align="center" valign="top">36 (32.4)</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Cefoxitin</td>
<td align="center" valign="top">3 (4.1)</td>
<td align="center" valign="top">2 (2.2)</td>
<td align="center" valign="top">0.406</td>
<td align="center" valign="top">4 (6.1)</td>
<td align="center" valign="top">12 (10.8)</td>
<td align="center" valign="top">0.557</td>
</tr>
<tr>
<td align="left" valign="top">Ceftazidime</td>
<td align="center" valign="top">3 (4.1)</td>
<td align="center" valign="top">5 (5.4)</td>
<td align="center" valign="top">0.495</td>
<td align="center" valign="top">5 (7.6)</td>
<td align="center" valign="top">35 (31.5)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Ciprofloxacin</td>
<td align="center" valign="top">2 (2.7)</td>
<td align="center" valign="top">2 (2.2)</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">7 (10.6)</td>
<td align="center" valign="top">22 (19.8)</td>
<td align="center" valign="top">0.135</td>
</tr>
<tr>
<td align="left" valign="top">Gentamicin</td>
<td align="center" valign="top">5 (6.8)</td>
<td align="center" valign="top">2 (2.2)</td>
<td align="center" valign="top">0.174</td>
<td align="center" valign="top">8 (12.1)</td>
<td align="center" valign="top">25 (22.5)</td>
<td align="center" valign="top">0.221</td>
</tr>
<tr>
<td align="left" valign="top">Piperacillin/tazobactam</td>
<td align="center" valign="top">2 (2.7)</td>
<td align="center" valign="top">2 (2.2)</td>
<td align="center" valign="top">0.970</td>
<td align="center" valign="top">8 (12.1)</td>
<td align="center" valign="top">18 (16.2)</td>
<td align="center" valign="top">0.165</td>
</tr>
<tr>
<td align="left" valign="top">Tigecycline</td>
<td align="center" valign="top">4 (5.4)</td>
<td align="center" valign="top">1 (1.1)</td>
<td align="center" valign="top">0.259</td>
<td align="center" valign="top">4 (6.1)</td>
<td align="center" valign="top">8 (7.2)</td>
<td align="center" valign="top">0.520</td>
</tr>
<tr>
<td align="left" valign="top">TMP/SMX</td>
<td align="center" valign="top">3 (4.1)</td>
<td align="center" valign="top">3 (3.2)</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">9 (13.6)</td>
<td align="center" valign="top">23 (20.7)</td>
<td align="center" valign="top">0.224</td>
</tr>
<tr>
<td align="left" valign="top">ESBL positivity</td>
<td align="center" valign="top">2 (2.7)</td>
<td align="center" valign="top">5 (5.4)</td>
<td align="center" valign="top">0.465</td>
<td align="center" valign="top">4 (6.1)</td>
<td align="center" valign="top">35 (31.5)</td>
<td align="center" valign="top">0.001</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p>
<p>TMP, trimethoprim; SMX, sulfamethoxazole; ESBL, extended-spectrum &#x003B2;-lactam.</p></fn>
<fn id="tfn5-kjim-2015-257"><label>a</label><p>Group A, 2004&#x02013;2005.</p></fn>
<fn id="tfn6-kjim-2015-257"><label>b</label><p>Group B, 2012&#x02013;2013.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t4-kjim-2015-257" position="float">
<label>Table 4.</label>
<caption><p>Empirical antibiotics in community-acquired infection and healthcare associated infection/nosocomial infection between two groups</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2">Variable</th>
<th align="center" valign="middle" colspan="3">Community-acquired infection<hr/></th>
<th align="center" valign="middle" colspan="3">Healthcare-associated/nosocomial infection<hr/></th>
</tr><tr>
<th align="center" valign="middle">Group A<sup><xref rid="tfn7-kjim-2015-257" ref-type="table-fn">a</xref></sup> (n = 74)</th>
<th align="center" valign="middle">Group B<sup><xref rid="tfn8-kjim-2015-257" ref-type="table-fn">b</xref></sup> (n = 93)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
<th align="center" valign="middle">Group A<sup><xref rid="tfn7-kjim-2015-257" ref-type="table-fn">a</xref></sup> (n = 66)</th>
<th align="center" valign="middle">Group B<sup><xref rid="tfn8-kjim-2015-257" ref-type="table-fn">b</xref></sup> (n = 111)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">1st, 2nd cephalosporin</td>
<td align="center" valign="top">16 (21.9)</td>
<td align="center" valign="top">1 (1.1)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">10 (15.2)</td>
<td align="center" valign="top">3 (2.7)</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top">3rd cephalosporin</td>
<td align="center" valign="top">43 (58.9)</td>
<td align="center" valign="top">59 (64.1)</td>
<td align="center" valign="top">0.522</td>
<td align="center" valign="top">39 (59.1)</td>
<td align="center" valign="top">46 (41.8)</td>
<td align="center" valign="top">0.030</td>
</tr>
<tr>
<td align="left" valign="top">4th cephalosporin</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">14 (15.2)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">22 (20.2)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Aminoglycoside</td>
<td align="center" valign="top">48 (65.8)</td>
<td align="center" valign="top">5 (5.4)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">40 (60.6)</td>
<td align="center" valign="top">15 (13.6)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Quinolone</td>
<td align="center" valign="top">9 (12.3)</td>
<td align="center" valign="top">5 (5.4)</td>
<td align="center" valign="top">0.160</td>
<td align="center" valign="top">4 (6.1)</td>
<td align="center" valign="top">16 (14.5)</td>
<td align="center" valign="top">0.139</td>
</tr>
<tr>
<td align="left" valign="top">Piperacillin/tazobactam</td>
<td align="center" valign="top">2 (2.7)</td>
<td align="center" valign="top">2 (2.2)</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">4 (6.1)</td>
<td align="center" valign="top">12 (10.9)</td>
<td align="center" valign="top">0.417</td>
</tr>
<tr>
<td align="left" valign="top">Imipenem/meropenem</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">17 (18.5)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">4 (6.1)</td>
<td align="center" valign="top">23 (20.9)</td>
<td align="center" valign="top">0.009</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p></fn>
<fn id="tfn7-kjim-2015-257"><label>a</label><p>Group A, 2004&#x02013;2005.</p></fn>
<fn id="tfn8-kjim-2015-257"><label>b</label><p>Group B, 2012&#x02013;2013.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t5-kjim-2015-257" position="float">
<label>Table 5.</label>
<caption><p>Comparison of treatment response</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Group A<sup><xref rid="tfn9-kjim-2015-257" ref-type="table-fn">a</xref></sup> (n = 140)</th>
<th align="center" valign="middle">Group B<sup><xref rid="tfn10-kjim-2015-257" ref-type="table-fn">b</xref></sup> (n = 204)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Response after 72 hr</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Complete response</td>
<td align="center" valign="top">5 (3.6)</td>
<td align="center" valign="top">51 (25.2)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Partial response</td>
<td align="center" valign="top">83 (59.7)</td>
<td align="center" valign="top">82 (40.6)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Failure</td>
<td align="center" valign="top">51 (31.6)</td>
<td align="center" valign="top">69 (34.2)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">ICU care</td>
<td align="center" valign="top">54 (38.8)</td>
<td align="center" valign="top">65 (32.2)</td>
<td align="center" valign="top">0.206</td>
</tr>
<tr>
<td align="left" valign="top">AKI</td>
<td align="center" valign="top">66 (47.5)</td>
<td align="center" valign="top">58 (28.7)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Mechanical ventilation</td>
<td align="center" valign="top">41 (29.5)</td>
<td align="center" valign="top">34 (16.8)</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">30-Day mortality</td>
<td align="center" valign="top">68 (48.9)</td>
<td align="center" valign="top">66 (33.2)</td>
<td align="center" valign="top">0.005</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p>
<p>ICU, intensive care unit; AKI, acute kidney injury.</p></fn>
<fn id="tfn9-kjim-2015-257"><label>a</label><p>Group A, 2004&#x02013;2005.</p></fn>
<fn id="tfn10-kjim-2015-257"><label>b</label><p>Group B, 2012&#x02013;2013.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t6-kjim-2015-257" position="float">
<label>Table 6.</label>
<caption><p>Comparison of treatment response in community-acquired infection and healthcare associated infection/nosocomial infection between two groups</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2">Variable</th>
<th align="center" valign="middle" colspan="3">Community-acquired infection<hr/></th>
<th align="center" valign="middle" colspan="3">Healthcare-associated/nosocomial infection<hr/></th>
</tr><tr>
<th align="center" valign="middle">Group A<sup><xref rid="tfn11-kjim-2015-257" ref-type="table-fn">a</xref></sup> (n = 74)</th>
<th align="center" valign="middle">Group B<sup><xref rid="tfn12-kjim-2015-257" ref-type="table-fn">b</xref></sup> (n = 93)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
<th align="center" valign="middle">Group A<sup><xref rid="tfn11-kjim-2015-257" ref-type="table-fn">a</xref></sup> (n = 66)</th>
<th align="center" valign="middle">Group B<sup><xref rid="tfn12-kjim-2015-257" ref-type="table-fn">b</xref></sup> (n = 111)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Response after 72 hr</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Complete response</td>
<td align="center" valign="top">4 (5.5)</td>
<td align="center" valign="top">23 (25.0)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">1 (1.5)</td>
<td align="center" valign="top">28 (25.5)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Partial response</td>
<td align="center" valign="top">47 (64.4)</td>
<td align="center" valign="top">40 (43.5)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">36 (54.5)</td>
<td align="center" valign="top">42 (38.1)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Failure</td>
<td align="center" valign="top">22 (30.1)</td>
<td align="center" valign="top">29 (31.5)</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">29 (43.9)</td>
<td align="center" valign="top">40 (36.4)</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">ICU care</td>
<td align="center" valign="top">27 (37.0)</td>
<td align="center" valign="top">33 (35.9)</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">27 (40.9)</td>
<td align="center" valign="top">32 (29.1)</td>
<td align="center" valign="top">0.138</td>
</tr>
<tr>
<td align="left" valign="top">AKI</td>
<td align="center" valign="top">26 (35.6)</td>
<td align="center" valign="top">23 (30.4)</td>
<td align="center" valign="top">0.508</td>
<td align="center" valign="top">40 (60.6)</td>
<td align="center" valign="top">30 (27.3)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Mechanical ventilation</td>
<td align="center" valign="top">22 (30.1)</td>
<td align="center" valign="top">18 (19.6)</td>
<td align="center" valign="top">0.144</td>
<td align="center" valign="top">19 (28.8)</td>
<td align="center" valign="top">16 (14.5)</td>
<td align="center" valign="top">0.031</td>
</tr>
<tr>
<td align="left" valign="top">30-Day mortality</td>
<td align="center" valign="top">28 (38.4)</td>
<td align="center" valign="top">25 (28.1)</td>
<td align="center" valign="top">0.181</td>
<td align="center" valign="top">40 (60.6)</td>
<td align="center" valign="top">41 (37.3)</td>
<td align="center" valign="top">0.003</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p>
<p>ICU, intensive care unit; AKI, acute kidney injury.</p></fn>
<fn id="tfn11-kjim-2015-257"><label>a</label><p>Group A, 2004&#x02013;2005.</p></fn>
<fn id="tfn12-kjim-2015-257"><label>b</label><p>Group B, 2012&#x02013;2013.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</back></article>