<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2019.78009</article-id><article-id pub-id-type="publisher-id">JBM-94763</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Awareness of Chronic Kidney Disease among Patients Attending Tertiary Care Hospital in Bangladesh
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ferdous</surname><given-names>Jahan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>A.</surname><given-names>K. M. Shahidur Rahman</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tania</surname><given-names>Mahbub</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mesbah</surname><given-names>Uddin Noman</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yeasmin</surname><given-names>Akter</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohammed</surname><given-names>Mizanur Rahaman</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>K.</surname><given-names>B. M. Hadiuzzaman</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>M.</surname><given-names>A. Jalil Chowdhury</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib></contrib-group><aff id="aff5"><addr-line>Department of Cardiology, Narail Sadar Hospital, Narail, Bangladesh</addr-line></aff><aff id="aff6"><addr-line>Department of Medicine, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh</addr-line></aff><aff id="aff4"><addr-line>Department of Gynecology and Obstetrics, Combined Military Hospital (CMH), Dhaka, Bangladesh</addr-line></aff><aff id="aff2"><addr-line>Department of Nephrology, United Hospital Limited, Dhaka, Bangladesh</addr-line></aff><aff id="aff1"><addr-line>Department of Nephrology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh</addr-line></aff><aff id="aff3"><addr-line>Department of Nephrology, M Abdur Rahim Medical College, Dinajpur, Bangladesh</addr-line></aff><pub-date pub-type="epub"><day>08</day><month>08</month><year>2019</year></pub-date><volume>07</volume><issue>08</issue><fpage>106</fpage><lpage>118</lpage><history><date date-type="received"><day>22,</day>	<month>July</month>	<year>2019</year></date><date date-type="rev-recd"><day>27,</day>	<month>August</month>	<year>2019</year>	</date><date date-type="accepted"><day>30,</day>	<month>August</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Patients with chronic kidney disease (CKD) are at increased risk of morbidity &amp; mortality. Educational interventions aimed at empowering patients are successful in chronic disease management including CKD. Objective: To explore the awareness regarding CKD among patients attending in a tertiary care hospital in Bangladesh. 
  Methodology: This was a descriptive observational study, which includes 100 adult patients attending the department of Medicine in Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from January 2013 to June 2013. Data were collected on a pre-tested questionnaire by face-to-face interview to investigate awareness toward: 1) basic knowledge of personal health; 2) perceptions of factors increasing the risk of CKD; 3) knowledge of therapies to slow CKD progression; 4) perceptions of CKD increasing the risk of other medical conditions and 5) demographic information. Main outcome variables were demographic parameters, socio-economic status and awareness about chronic kidney disease. Data were analyzed and compared by statistical tests. 
  Results: Almost one third (32.0%) respondents were in 3
  <sup>rd</sup> decade and male to female ratio was 1:1.5. Majority (43.0%) patients came from lower-middle income family. In all age groups, the majority (60%) respondents had low knowledge of CKD. Among the study population, 44.0% believe that smoking increases risk of CKD; 42.0% believe that restricting salt intake reduces the progression of CKD; 34.0% mention that CKD increases the risk for hypertension and 82.0% mention that renal transplantation is the treatment of choice in CKD. Among the participants, 32.8% had knowledge of increasing risk factor of CKD, 30.8% had knowledge of the method of slow progression of CKD, 30.3% had knowledge of conditions for increase risk of CKD and 41.7% respondent had knowledge of treatment of CKD. 
  Conclusion: Most of the study participants had inadequate knowledge of CKD. Lack of CKD screening and educational programs have contributed to the inadequate patient knowledge about the condition.
 
</p></abstract><kwd-group><kwd>Awareness</kwd><kwd> Chronic Kidney Disease</kwd><kwd> Patient Knowledge</kwd><kwd> Patient Perception</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Chronic kidney disease (CKD) is increasingly being recognized as a global public health problem. The declaration of World Kidney Day and its annual observance remained us that CKD is common and harmful for almost all cross section of people [<xref ref-type="bibr" rid="scirp.94763-ref1">1</xref>]. There is some convincing evidence that CKD is treatable [<xref ref-type="bibr" rid="scirp.94763-ref2">2</xref>]. Prevalence of CKD has reached epidemic proportions with a range of 10% - 13% population of USA [<xref ref-type="bibr" rid="scirp.94763-ref3">3</xref>]. Canada [<xref ref-type="bibr" rid="scirp.94763-ref4">4</xref>]. Japan [<xref ref-type="bibr" rid="scirp.94763-ref5">5</xref>]. China [<xref ref-type="bibr" rid="scirp.94763-ref6">6</xref>]. Taiwan [<xref ref-type="bibr" rid="scirp.94763-ref7">7</xref>]. Iran [<xref ref-type="bibr" rid="scirp.94763-ref8">8</xref>]. and India [<xref ref-type="bibr" rid="scirp.94763-ref9">9</xref>]. In some countries of Europe, the prevalence of CKD is 8% - 10% [<xref ref-type="bibr" rid="scirp.94763-ref10">10</xref>].11]. Recent data on the prevalence of early stage of CKD in India showed that 15% apparently healthy-looking Indian Central government employees are suffering from kidney disease [<xref ref-type="bibr" rid="scirp.94763-ref9">9</xref>].</p><p>As CKD is a silent disease which is treated as one of the leading causes of death worldwide, many developed countries have studied CKD awareness and developed guidelines and educational programs accordingly. Education to improve knowledge on CKD has been documented to play an important role in reducing this particular problem regardless of whether it is primary, secondary or tertiary prevention [<xref ref-type="bibr" rid="scirp.94763-ref12">12</xref>]. Varied risk factors have been reported in the awareness study on chronic kidney disease in different countries.</p><p>Bangladesh being a densely populated developing country, its health care budget is only 1.4% of gross national product (GNP) with the priority areas as population control, provision of clean drinking water and eradication of communicable disease. The treatment of non-communicable disease like chronic kidney disease (CKD) has low priority in Bangladesh because of government health policy and high cost of treatment [<xref ref-type="bibr" rid="scirp.94763-ref13">13</xref>]. Development of awareness through screening and educational programs is still in the stage of infancy. The important causes of CKD leading to kidney failure in South Asian region are chronic glomerulonephritis, diabetes and hypertension [<xref ref-type="bibr" rid="scirp.94763-ref13">13</xref>]. In Bangladesh, leading causes of end-stage renal disease (ESRD) are chronic glomerulonephritis (40%), diabetes (34%) and hypertension (15%) [<xref ref-type="bibr" rid="scirp.94763-ref14">14</xref>]. Patients are not aware of the importance of good control of these risk factors. Survey in a few rural, urban, disadvantageous population suggested that 18 million people have been suffering from CKD as defined by kidney disease outcomes quality initiative (KDOQI) in Bangladesh [<xref ref-type="bibr" rid="scirp.94763-ref14">14</xref>]. About 30,000 patients are reaching end-stage renal failure every year in this country they need either dialysis or transplantation of kidney [<xref ref-type="bibr" rid="scirp.94763-ref14">14</xref>]. Out of 18% kidney patient, 11% have milder to severe form of kidney failure [<xref ref-type="bibr" rid="scirp.94763-ref14">14</xref>]. Increased CKD awareness over time in different countries and a recent increase in nephrology referrals suggested that these efforts may have some positive impact [<xref ref-type="bibr" rid="scirp.94763-ref15">15</xref>].16].17].</p><p>It has been observed that physicians other than nephrologists are less likely to recognize CKD and sometimes differ in their clinical evaluation of CKD [<xref ref-type="bibr" rid="scirp.94763-ref18">18</xref>]. A significant number of CKD patients are referred to nephrologists much later than it would have been appropriate [<xref ref-type="bibr" rid="scirp.94763-ref19">19</xref>]. Late evaluation of CKD patients by nephrologists, especially those presenting in end-stage renal disease (ESRD), is associated with suboptimal pre-dialysis care and treatment which ultimately increase mortality [<xref ref-type="bibr" rid="scirp.94763-ref19">19</xref>].20].21].22].<sup> </sup></p><p>Cancer screening studies have shown that patients with more knowledge and awareness of their diseases are more likely to follow methods that slow progression of the disease [<xref ref-type="bibr" rid="scirp.94763-ref23">23</xref>]. Disease educated patients are more likely to follow proper treatment and cope more successfully with their diagnosis and participate in health care decisions that affect their health [<xref ref-type="bibr" rid="scirp.94763-ref24">24</xref>].</p><p>Study on awareness and education of CKD is scarce in Bangladesh. Thus the present study was conducted to explore the awareness regarding CKD among patients attending in a tertiary care hospital in Bangladesh. The study was focused on the relationship between the awareness of CKD with age, occupation and educational status. The information generated out of this study will be useful in implying awareness program for CKD patients. The developed awareness program of the present study is expected to reduce CKD through early adoption of treatment and thereby will contribute to a considerable extent to prevent it from progression towards ESRD.</p></sec><sec id="s2"><title>2. Methodology</title><p>This descriptive observational study was conducted from January 2013 to June 2013 in Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh. The study was approved by the Ethical Review Committee, Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka, Bangladesh. According to the statistical calculation, a total of one hundred (100) patients were selected as study population. Patients who came to the department of medicine, BSMMU during six months of the study period were recruited for the study purposively. All adult (Age &gt; 18 years) patients without renal disease were included in the study and patients under 18 years old, known as CKD patient, CKD on dialysis or history of renal transplantation were excluded from the study. Informed written consent was taken from each participant prior to enrollment. Main outcome variables were demographic parameters, socio-economic status and awareness about chronic kidney disease. Data were collected by face-to-face interview using a pre-tested questionnaire. The questionnaire consisted of five sectors that included; demographic characteristics, patient’s knowledge on health, patient’s perceptions of factors increasing the risk of CKD, patient’s perception of practices that slow chronic kidney disease progression and patient’s perception of CKD increasing the risk of other medical conditions. Each of the patient’s correct answer was given a score of 1 and therefore the maximum total score was 11. Knowledge scouring was leveled as; no knowledge = 0 score, low knowledge = 1 - 5, moderate knowledge = 6 - 9 and high knowledge = 9 - 11 score. Those who answered 5 or fewer questions correctly were considered to have low knowledge on chronic kidney disease while those who answered 6-8 questions correctly were considered to have moderate knowledge while those who answered 9 - 11 questions correctly were considered to have high knowledge on CKD. After editing and coding, the coded data were directly entered into the computer by using SPSS software release for Windows, version 16.0 (SPSS, Inc. Chicago. III). Data cleaning validation and analysis were performed using the SPSS software. Categorical data were presented as frequency, percentage and continuous variable were expressed as mean &#177; SD (standard deviation). An independent sample student’s t-test was used for comparison of means of continuous variables with normal or approximately normal distributions. The Chi-square test was used to analyze discrete variables. ANOVA test was performed where appropriate. The statistical significance threshold was set to p ≤ 0.05 (two-tailed).</p></sec><sec id="s3"><title>3. Results</title><p>A total of one hundred (100) participants were included in this study. Of them, forty (40) were male and sixty (60) were female, among females most of them were housewives and male to female ratio was 1:1.5. Almost one third (32.0%) respondents were in 3<sup>rd</sup> decade. Majority (43.0%) patients came from lower-middle-income family. In all age groups, the majority (60%) respondents had low knowledge of CKD.</p><p>About the association between knowledge score with different age group, it was observed that majority patients (60%) had low knowledge score which was 9.0% in ≤20 years age group, 21.0% in 21 - 30 years age group, 16.0% in 31 - 40 years age group, 10.0% in 41 - 50 years age group and 4.0% in &gt;50 years age group patients. The mean knowledge score was found 4.75 &#177; 4.47 in ≤20 years age group, 5.09 &#177; 5.93 in 21 - 30 years age group, 5.73 &#177; 5.65 in 31 - 40 years age group, 8.62 &#177; 6.81 in 41 - 50 years age group and 7.11 &#177; 8.79 in &gt;50 years age group. The differences were not statistically significant (p = 0.240) among knowledge scoring with different age groups (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Among the participants no knowledge score was found 1 (2.5%) in male patients and 7 (11.7%) in female patients; Low knowledge score was found 25 (62.5%) in male patients, 35 (58.3%) in female patients; Moderate knowledge score was found 9 (22.5%) in male patients and 12 (20.0%) in female patients;</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of the study patients by knowledge score according to age group (n = 100)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Knowledge score</th><th align="center" valign="middle"  colspan="10"  >Age (years)</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >≤20 (n = 12)</td><td align="center" valign="middle"  colspan="2"  >21 - 30 (n = 32)</td><td align="center" valign="middle"  colspan="2"  >31 - 40 (n = 23)</td><td align="center" valign="middle"  colspan="2"  >41 - 50 (n = 24)</td><td align="center" valign="middle"  colspan="2"  >&gt;50 (n = 9)</td></tr><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No Knowledge</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td></tr><tr><td align="center" valign="middle" >Low Knowledge</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9.0</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >21.0</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16.0</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10.0</td><td align="center" valign="middle" >&#179;</td><td align="center" valign="middle" >4.0</td></tr><tr><td align="center" valign="middle" >Moderate Knowledge</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.0</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >8.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td></tr><tr><td align="center" valign="middle" >High Knowledge</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >&#179;</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.0</td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >4.75</td><td align="center" valign="middle" >&#177;4.47</td><td align="center" valign="middle" >5.09</td><td align="center" valign="middle" >&#177;5.93</td><td align="center" valign="middle" >5.73</td><td align="center" valign="middle" >&#177;5.65</td><td align="center" valign="middle" >8.62</td><td align="center" valign="middle" >&#177;6.81</td><td align="center" valign="middle" >7.11</td><td align="center" valign="middle" >&#177;8.79</td></tr><tr><td align="center" valign="middle" >P value</td><td align="center" valign="middle"  colspan="10"  >0.240<sup>ns</sup></td></tr></tbody></table></table-wrap><p>No knowledge = 0. Low knowledge = 1 - 5. Moderate knowledge = 6 - 9. High knowledge = 9 - 11. ns = not significant. P value reached from ANOVA test.</p><p>High knowledge score was found 5 (12.5%) in male patients and 6 (10.0%) in female patients respectively. The mean knowledge score was found 6.5 &#177; 6.7 in male patients and 6.0 &#177; 5.9 in female patients. The mean score difference was not statistically significant (p &gt; 0.05) between two groups (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>In this study no knowledge score 4 (4%), 1 (1%), 1 (1%), 0 (0%), 1 (1%), 0 (0%); low knowledge score 17 (17%), 8 (8%), 5 (5%), 10 (10%), 4 (4%), 6 (6%); moderate knowledge score 11 (11%), 9 (9%), 5 (5%), 5 (5%), 2 (2%), 0 (0%) and high knowledge score 4 (4%), 0 (0%), 3 (3%), 2 (2%), 0 (0%), 2 (2%) were found among housewives, small trader, student, service holder, private service and other occupation’s patients respectively (<xref ref-type="table" rid="table3">Table 3</xref>). Among the occupations majority of the respondents were housewives (17%) and they had low knowledge score.</p><p><xref ref-type="table" rid="table4">Table 4</xref> shows monthly income of the respondents. It was observed that more than two third (67.0%) respondents belonged to lower-middle-income group and rest one third (33.0%) came from low-income group (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>Low knowledge score was found in 10 (10.0%) of the respondents who had no institutional education, in 17 (17.0%) had primary education, in 15 (15.0%) had high school education and in 18 (18.0%) respondents who had college &amp; university-level education. Other knowledge scores and educational status are displaying in the table. But the mean differences were not statistically significant (p = 0.071) among knowledge scores with different education groups (<xref ref-type="table" rid="table5">Table 5</xref>).</p><p>It was observed that 31 (31.0%) respondents mention that they believe diabetes increases the risk of CKD, 32 (32.0%) hypertension, 12 (12.0%) family history, 44 (44.0%) smoking 39 (39.0%) dyslipidemia and 39 (39.0%) believe obesity increases the risk of CKD (<xref ref-type="table" rid="table6">Table 6</xref>).</p><p>It was observed that 35 (35.0%) respondents mention that they believe stop smoking slows down the progression of CKD, 29 (29.0%) control of HTN 27 (27.0%) control of DM, 33 (33.0%) control of LIPID, 42 (42.0%) restricting salt</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of the study patients by knowledge score according to sex (n = 100)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Knowledge score</th><th align="center" valign="middle"  colspan="2"  >Male (n = 40)</th><th align="center" valign="middle"  colspan="2"  >Female (n = 60)</th><th align="center" valign="middle"  rowspan="2"  >P-value</th></tr></thead><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >No Knowledge</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >11.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Low Knowledge</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >62.5</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >58.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Moderate Knowledge</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >22.5</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >20.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High Knowledge</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >12.5</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >10.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >6.5</td><td align="center" valign="middle" >&#177;6.7</td><td align="center" valign="middle" >6.0</td><td align="center" valign="middle" >&#177;5.9</td><td align="center" valign="middle" >0.704<sup>ns</sup></td></tr></tbody></table></table-wrap><p>ns = not significant. P value reached from unpaired t-test.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of the study patients by knowledge score according to occupation (n = 100)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Knowledge score</th><th align="center" valign="middle"  colspan="12"  >Occupational status</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Housewife</td><td align="center" valign="middle"  colspan="2"  >Small trader</td><td align="center" valign="middle"  colspan="2"  >Student</td><td align="center" valign="middle"  colspan="2"  >Service holder</td><td align="center" valign="middle"  colspan="2"  >Private service</td><td align="center" valign="middle"  colspan="2"  >Others</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >No Knowledge</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td></tr><tr><td align="center" valign="middle" >Low Knowledge</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >17.0</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >8.0</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10.0</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.0</td></tr><tr><td align="center" valign="middle" >Moderate Knowledge</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >11.0</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9.0</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td></tr><tr><td align="center" valign="middle" >High Knowledge</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >36.0</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >18.0</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >14.0</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >17.0</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >7.0</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >8.0</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution of the respondents by monthly income (n = 100)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Monthly income</th><th align="center" valign="middle" >Number of respondents</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Low-income</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >33.0</td></tr><tr><td align="center" valign="middle" >Lower-middle</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >67.0</td></tr><tr><td align="center" valign="middle" >Upper-middle</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Distribution of the study patients by knowledge score according to education (n = 100)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Knowledge score</th><th align="center" valign="middle"  colspan="8"  >Educational status</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >No education (n = 17)</td><td align="center" valign="middle"  colspan="2"  >Primary (n = 31)</td><td align="center" valign="middle"  colspan="2"  >High school (n = 23)</td><td align="center" valign="middle"  colspan="2"  >College &amp; University (n = 29)</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >No Knowledge</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td></tr><tr><td align="center" valign="middle" >Low Knowledge</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10.0</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >17.0</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15.0</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >18.0</td></tr><tr><td align="center" valign="middle" >Moderate Knowledge</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >8.0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >7.0</td></tr><tr><td align="center" valign="middle" >High Knowledge</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4.0</td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >2.81</td><td align="center" valign="middle" >&#177;4.02</td><td align="center" valign="middle" >6.03</td><td align="center" valign="middle" >&#177;6.00</td><td align="center" valign="middle" >7.56</td><td align="center" valign="middle" >&#177;6.89</td><td align="center" valign="middle" >7.48</td><td align="center" valign="middle" >&#177;6.64</td></tr><tr><td align="center" valign="middle" >P value</td><td align="center" valign="middle"  colspan="8"  >0.071<sup>ns</sup></td></tr></tbody></table></table-wrap><p>ns = not significant. P value reached from ANOVA test.</p><p>intake and 19 (19.0%) respondents mention that they believe taking the drug regimen always slows down the progression of CKD (<xref ref-type="table" rid="table7">Table 7</xref>).</p><p>This study reveals that 82.0% of the participants believe that renal transplantation is the treatment of choice in CKD, 22.0% knows about dialysis is a treatment option of CKD, and as 21.0% believe that CKD can be treated by drugs (<xref ref-type="table" rid="table8">Table 8</xref>).</p><p><xref ref-type="table" rid="table9">Table 9</xref> shows that 32.8% respondents believe that there are some factors that increase the risk of CKD, 30.8% know the issues that slow down the progression of CKD, 30.3% are aware of the conditions for increase of CKD, and 41.7% have knowledge about treatment of CKD.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Participants believe that factor increases risk of CKD (n = 100)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Factors increasing risk of CKD*</th><th align="center" valign="middle"  colspan="2"  >Yes</th><th align="center" valign="middle"  colspan="2"  >No</th><th align="center" valign="middle"  colspan="2"  >Don’t know</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Diabetes</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >31.0</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15.0</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >54.0</td></tr><tr><td align="center" valign="middle" >Hypertension</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >32.0</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >13.0</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >55.0</td></tr><tr><td align="center" valign="middle" >Family history of CKD</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >12.0</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15.0</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >73.0</td></tr><tr><td align="center" valign="middle" >Smoking</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >44.0</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9.0</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >47.0</td></tr><tr><td align="center" valign="middle" >Dyslipidemia</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >39.0</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >11.0</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >50.0</td></tr><tr><td align="center" valign="middle" >Obesity</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >39.0</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >14.0</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >47.0</td></tr></tbody></table></table-wrap><p>*Multiple response.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Knowledge regarding slow progression of CKD (n = 100)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Progression of CKD*</th><th align="center" valign="middle"  colspan="2"  >Yes</th><th align="center" valign="middle"  colspan="2"  >No</th><th align="center" valign="middle"  colspan="2"  >Don’t know</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Stopping smoking</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >35.0</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9.0</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >56.0</td></tr><tr><td align="center" valign="middle" >Controlling of HTN</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >29.0</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >19.0</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >52.0</td></tr><tr><td align="center" valign="middle" >Controlling of DM</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >27.0</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >21.0</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >52.0</td></tr><tr><td align="center" valign="middle" >Controlling of LIPID</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >33.0</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >19.0</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >48.0</td></tr><tr><td align="center" valign="middle" >Restricting salt intake</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >42.0</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >13.0</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >45.0</td></tr><tr><td align="center" valign="middle" >Taking the drug regimen</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >19.0</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >11.0</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >70.0</td></tr></tbody></table></table-wrap><p>*Multiple response.</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Knowledge regarding treatment of CKD (n = 100)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Treatment knowledge*</th><th align="center" valign="middle"  colspan="2"  >Yes</th><th align="center" valign="middle"  colspan="2"  >No</th><th align="center" valign="middle"  colspan="2"  >Don’t know</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Drugs</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >21.0</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >17.0</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >62.0</td></tr><tr><td align="center" valign="middle" >Dialysis</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >22.0</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16.0</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >62.0</td></tr><tr><td align="center" valign="middle" >Renal Transplantation</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >82.0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.0</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >17.0</td></tr></tbody></table></table-wrap><p>*Multiple response.</p><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Total level of knowledge about CKD</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Items of CKD</th><th align="center" valign="middle" >Total level of knowledge (%)</th></tr></thead><tr><td align="center" valign="middle" >Factor increase risk of CKD</td><td align="center" valign="middle" >32.8</td></tr><tr><td align="center" valign="middle" >Methods slow progression of CKD</td><td align="center" valign="middle" >30.8</td></tr><tr><td align="center" valign="middle" >Condition for increase risk for CKD</td><td align="center" valign="middle" >30.3</td></tr><tr><td align="center" valign="middle" >About treatment knowledge of CKD</td><td align="center" valign="middle" >41.7</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion</title><p>This descriptive observational study was carried out with an aim to determine the level of knowledge about chronic kidney disease among patients attending in the department of medicine in Bangabandhu Sheikh Mujib Medical University (BSMMU) and to finding out the relationship between awareness of chronic kidney disease with age, occupation and educational status of the patients. A total of 100 patients who attended in the department of medicine in BSMMU from January 2013 to June 2013 were included in this study accordingly.</p><p>About the association between knowledge score with different age group it was observed that majority of the study patients (60%) had low knowledge score which was 9.0% in ≤20 years age group, 21.0% in 21 - 30 years age group, 16.0% in 31 - 40 years age group, 10.0% in 41 - 50 years age group and 4.0% in &gt;50 years age group patients. The mean knowledge score differences were not statistically significant (p = 0.240) among knowledge scores with different age groups in this current study. Leng C.W., et al. [<xref ref-type="bibr" rid="scirp.94763-ref25">25</xref>].howed majority of the respondents answered 3 to 5 questions correctly giving a mean score of 3.44 &#177; 1.53 and a median score of 3; Eighty (5.6%) respondents had no knowledge of kidney disease; Of these 80 respondents, most of them were &gt; 40 years old (72.1%). Tan A.U., et al. [<xref ref-type="bibr" rid="scirp.94763-ref26">26</xref>].eported that only younger age was independent predictors of overall knowledge score. The current study is consistent with these above studies.</p><p>In this present study, it was observed that majority (31.0%) respondents were passed primary education level followed by 29.0% passed college &amp; University level, 23.0% passed high school and 16.0% respondents had no education level. Tan A.U., et al. [<xref ref-type="bibr" rid="scirp.94763-ref26">26</xref>].eported that nearly all participants (96%) in their study had at least completed high school education. In another study, Leng C.W., et al. [<xref ref-type="bibr" rid="scirp.94763-ref25">25</xref>].bserved that 40.7% and 37.6% had secondary level and above secondary level of education respectively. Erick W. [<xref ref-type="bibr" rid="scirp.94763-ref27">27</xref>].btained that 70% of the participants had acquired formal education of less than high school level. This low level of education could account for the inadequate patient’s knowledge. Studies documented that a high correlation between educational attainment and health outcomes, as educated patients are more likely to allow proper treatment and cope more successfully with their diagnosis and participate in health care decisions that affect their outcome.</p><p>In this present study, it was observed that 31.0% respondents mention that they believe diabetes increases the risk of CKD, 32.0% hypertension, 12.0% family history of CKD, 44.0% smoking, 39.0% dyslipidemia and 39.0% believe obesity increases the risk of CKD. Majority of the participants thought that a family history of CKD increased the risk of CKD as reported by Erick W. [<xref ref-type="bibr" rid="scirp.94763-ref27">27</xref>]. The less commonly identified risk factors of CKD were smoking mentioned in 10% and 32.0% mentioned about diabetes in his study. In current study, only 32% of the participants believe that hypertension increases the risk of chronic kidney disease. This finding is especially relevant as prior survey which demonstrated that black populations are less likely to perceive themselves as being susceptible to end-stage renal disease yet hypertension is the leading cause of ESRD among blacks obtained by Sanne S. et al. [<xref ref-type="bibr" rid="scirp.94763-ref28">28</xref>]. Most of the participants believed that a family history of chronic kidney disease increases the risk for CKD but a previous study in the United States by Tan A.U., et al. [<xref ref-type="bibr" rid="scirp.94763-ref26">26</xref>].howed that although most chronic kidney disease patients had a family history of chronic renal failure, they did not believe that it predisposed to chronic kidney disease. Tan A.U., et al. [<xref ref-type="bibr" rid="scirp.94763-ref26">26</xref>].ound in their study that hypertension 92.1% and diabetes 86% were the two risk factors that were perceived as increasing the risk of CKD for the largest proportion of their study participants. Other risk factors like obesity mentioned 79.9%, family history of CKD 75.1%, smoking 74.7%, African American race 71.6%, and male sex 59.0% were less commonly identified as CKD risk factors [<xref ref-type="bibr" rid="scirp.94763-ref26">26</xref>].</p><p>In this current study it was observed that 35.0% respondents mention that they believe stop smoking delay progression of CKD, 29.0% control of HTN, 27.0% control of DM, 33.0% control of LIPID, 42.0% restricting salt intake and 19.0% respondents mention that they believe taking the CKD drug regimen always delay progression of CKD. Erick W. [<xref ref-type="bibr" rid="scirp.94763-ref27">27</xref>].howed most participants thought that drugs always slowed progression of the chronic kidney disease while the least likely to be identified as effective in slowing progression of CKD was smoking control (8.0%).</p><p>In this study, it was observed that 34.0% respondents mention that they believe CKD increases risk for the hypertension, 31.0% heart attack, 26.0% stroke and 30.0% death. Erick W. [<xref ref-type="bibr" rid="scirp.94763-ref27">27</xref>].dentified that 90% of the participants thought that CKD increases the risk of death but few thought that CKD increases the risk of hypertension, heart attack and stroke. The present study shows that the participants have very poor knowledge about complications and outcome of CKD.</p><p>In this present study, it was observed that, 82.0% of the participants believe that renal transplantation is the treatment of choice in CKD, 22.0% knows about dialysis is a treatment option of CKD, and 21.0% believe that CKD can be treated by drugs. Leng C.W., et al. [<xref ref-type="bibr" rid="scirp.94763-ref25">25</xref>].ound 79.4% respondent knew that kidney transplant is the best treatment for end-stage renal disease. 61.7% knew that dialysis treatment can be carried out either at home or at a dialysis centre. The present study reveals that participants have very poor knowledge about treatment options of CKD patients.</p><p>It was observed in this study that no knowledge score was found in 2.5% in male patients and in 11.7% in female patients; low knowledge score was found 62.5% in male patients, 58.3% in female patients; moderate knowledge score was 22.5% and 20.0% in male and female respectively and high knowledge score was found 5 (12.5%) in male patients and 6 (10.0%) in female patients. The mean knowledge score was found 6.5 &#177; 6.7 in male patients and 6.0 &#177; 5.9 in female patients. The mean score difference was almost similar between male and female participants. This result differs from the findings of Turner S. et al. [<xref ref-type="bibr" rid="scirp.94763-ref29">29</xref>]. who had observed that younger and female participants had greater knowledge and awareness of CKD.</p><p>Regarding the associations between knowledge score and educational status, it was observed in this current study that low knowledge score was found in 10.0% respondents who had no institutional education, in 17.0% had primary education, in 15.0% had high school education and in 18.0% participants had college &amp; university level education. But the differences were not statistically significant (p = 0.071) among knowledge scores with different education groups. Gheewala, P.A et al. showed that CKD knowledge score increased with a higher level of education; which is not consistent with this current study [<xref ref-type="bibr" rid="scirp.94763-ref30">30</xref>].</p><p>Among the respondents, 32.8% respondent had knowledge about increase risk factor of CKD, 30.8% had knowledge about the method of slow progression of CKD, 30.3% had knowledge about conditions for increase risk of CKD and 41.7% respondent had knowledge about treatment of CKD.</p><p>To summarize, the current study found that majority (60%) of the participant patients had inadequate knowledge about chronic kidney disease. Most of the patients did not know all the risk factors, methods to slow progression and the complications of CKD. The inadequate knowledge about chronic kidney disease among the patients may be due to several factors which include illiteracy, lack of health screening program and inadequate education of patients about the condition. This could be due to inadequate mass media involvement.</p></sec><sec id="s5"><title>5. Conclusion</title><p>This study was undertaken to explore the awareness regarding CKD among the patients attending in a tertiary care hospital. Most of the respondents were in 3<sup>rd</sup> decade and female predominant and they were mostly housewife. Majority of the study participants had inadequate knowledge of CKD. Lack of CKD screening and educational programs have contributed to the inadequate patient knowledge about the condition.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Limitations of Study</title><p>It was a single centre study with relatively small sample size.</p></sec><sec id="s8"><title>Recommendations</title><p>In this study, most of the patients had insufficient knowledge of CKD. The knowledge can be improved by arranging local and regional workshop, use of aids like posters and leaflets displayed in hospitals and by the use of local and national media (TV, newspapers, journals etc) to highlight the issues related to factor increase risk of CKD, method of slow progression of CKD, and management of chronic kidney disease.</p></sec><sec id="s9"><title>Cite this paper</title><p>Jahan, F., Rahman, A.K.M.S., Mahbub, T., Noman, M.U., Akter, Y., Rahaman, M.M., Hadiuzzaman, K.B.M. and Chowdhury, M.A.J. (2019) Awareness of Chronic Kidney Disease among Patients Attending Tertiary Care Hospital in Bangladesh. Journal of Biosciences and Medicines, 7, 106-118. https://doi.org/10.4236/jbm.2019.78009</p></sec></body><back><ref-list><title>References</title><ref id="scirp.94763-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Levey, A.S., Andreoli, S.P., DuBose, T., Provenzano, R. and Collins, A.J. (2007) CKD: Common, Harmful, and Treatable—World Kidney Day 2007. American Journal of Kidney Diseases, 49, 175-179. https://doi.org/10.1053/j.ajkd.2006.12.013</mixed-citation></ref><ref id="scirp.94763-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Kopple, J.D. (2001) National Kidney Foundation K/DOQI Clinical Practice Guidelines for Nutrition in Chronic Renal Failure. American Journal of Kidney Diseases, 37, S66-S70. https://doi.org/10.1053/ajkd.2001.20748</mixed-citation></ref><ref id="scirp.94763-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Coresh, J., Selvin, E., Stevens, L.A., Manzi, J., Kusek, J.W., Eggers, P., Van Lente, F. and Levey, A.S. (2007) Prevalence of Chronic Kidney Disease in the United States. JAMA, 298, 2038-2047. https://doi.org/10.1001/jama.298.17.2038</mixed-citation></ref><ref id="scirp.94763-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Hemmelgarn, B.R., Manns, B.J., Lloyd, A., James, M.T., Klarenbach, S., Quinn, R.R., Wiebe, N. and Tonelli, M. (2010) Alberta Kidney Disease Network. Relation between Kidney Function, Proteinuria, and Adverse Outcomes. JAMA, 303, 423-429. https://doi.org/10.1001/jama.2010.39</mixed-citation></ref><ref id="scirp.94763-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Imai, E., Horio, M., Watanabe, T., Iseki, K., Yamagata, K., Hara, S., Ura, N., Kiyohara, Y., Moriyama, T., Ando, Y. and Fujimoto, S. (2009) Prevalence of Chronic Kidney Disease in the Japanese General Population. Clinical and Experimental Nephrology, 13, 621-630. https://doi.org/10.1007/s10157-009-0199-x</mixed-citation></ref><ref id="scirp.94763-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Shan, Y., Zhang, Q., Liu, Z., Hu, X. and Liu, D. (2010) Prevalence and Risk Factors Associated with Chronic Kidney Disease in Adults over 40 Years: A Population Study from Central China. Nephrology, 15, 354-361. https://doi.org/10.1111/j.1440-1797.2009.01249.x</mixed-citation></ref><ref id="scirp.94763-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Wen, C.P., Cheng, T.Y., Tsai, M.K., Chang, Y.C., Chan, H.T., Tsai, S.P., Chiang, P.H., Hsu, C.C., Sung, P.K., Hsu, Y.H. and Wen, S.F. (2008) All-Cause Mortality Attributable to Chronic Kidney Disease: A Prospective Cohort Study Based on 462 293 Adults in Taiwan. The Lancet, 371, 2173-2182. https://doi.org/10.1016/S0140-6736(08)60952-6</mixed-citation></ref><ref id="scirp.94763-ref8"><label>8</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Safarinejad</surname><given-names> M.R. </given-names></name>,<etal>et al</etal>. (<year>2009</year>)<article-title>The Epidemiology of Adult Chronic Kidney Disease in a Population-Based Study in Iran: Prevalence and Associated Risk Factors</article-title><source> Journal of Nephrology</source><volume> 22</volume>,<fpage> 99</fpage>-<lpage>108</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.94763-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Varma, P.P., Raman, D.K., Ramakrishnan, T.S., Singh, P. and Varma, A. (2010) Prevalence of Early Stages of Chronic Kidney Disease in Apparently Healthy Central Government Employees in India. Nephrology Dialysis Transplantation, 25, 3011-3017. https://doi.org/10.1093/ndt/gfq131</mixed-citation></ref><ref id="scirp.94763-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Hallan, S.I., Coresh, J., Astor, B.C., &amp;Aring;sberg, A., Powe, N.R., Romundstad, S., Hallan, H.A., Lydersen, S. and Holmen, J. (2006) International Comparison of the Relationship of Chronic Kidney Disease Prevalence and ESRD Risk. Journal of the American Society of Nephrology, 17, 2275-2284. https://doi.org/10.1681/ASN.2005121273</mixed-citation></ref><ref id="scirp.94763-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Stevens, P.E., O’donoghue, D.J., De Lusignan, S., Van Vlymen, J., Klebe, B., Middleton, R., Hague, N., New, J. and Farmer, C.K. (2007) Chronic Kidney Disease Management in the United Kingdom: NEOERICA Project Results. Kidney International, 72, 92-99. https://doi.org/10.1038/sj.ki.5002273</mixed-citation></ref><ref id="scirp.94763-ref12"><label>12</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Levin</surname><given-names> A.</given-names></name>,<name name-style="western"><surname> Stevens</surname><given-names> P.E.</given-names></name>,<name name-style="western"><surname> Bilous</surname><given-names> R.W.</given-names></name>,<name name-style="western"><surname> Coresh</surname><given-names> J.</given-names></name>,<name name-style="western"><surname> De Francisco</surname><given-names> A.L.</given-names></name>,<name name-style="western"><surname> De Jong</surname><given-names> P.E.</given-names></name>,<name name-style="western"><surname> Griffith</surname><given-names> K.E.</given-names></name>,<name name-style="western"><surname> Hemmelgarn</surname><given-names> B.R.</given-names></name>,<name name-style="western"><surname> Iseki</surname><given-names> K.</given-names></name>,<name name-style="western"><surname> Lamb</surname><given-names> E.J.</given-names></name>,<name name-style="western"><surname> Levey</surname><given-names> A.S. and Kidney Disease: Improving Global Outcomes </given-names></name>,<etal>et al</etal>. (<year>KDIGO</year>)<article-title>CKD Work Group (2013) KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease</article-title><source> Kidney International Supplements</source><volume> 3</volume>,<fpage> 1</fpage>-<lpage>150</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.94763-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Kidney Foundation (2005) Annual Reports. Dhaka.</mixed-citation></ref><ref id="scirp.94763-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Rashid, H.U. (2011) Reports of President, 9th Conference of NUTS of SAARC Country.</mixed-citation></ref><ref id="scirp.94763-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Plantinga, L.C., Boulware, L.E., Coresh, J., Stevens, L.A., Miller, E.R., Saran, R., Messer, K.L., Levey, A.S. and Powe, N.R. (2008) Patient Awareness of Chronic Kidney Disease: Trends and Predictors. Archives of Internal Medicine, 168, 2268-2275. https://doi.org/10.1001/archinte.168.20.2268</mixed-citation></ref><ref id="scirp.94763-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Hemmelgarn, B.R., Zhang, J., Manns, B.J., James, M.T., Quinn, R.R., Ravani, P., Klarenbach, S.W., Culleton, B.F., Krause, R., Thorlacius, L. and Jain, A.K. (2010) Nephrology Visits and Health Care Resource Use before and after Reporting Estimated Glomerular Filtration Rate. JAMA, 303, 1151-1158. https://doi.org/10.1001/jama.2010.303</mixed-citation></ref><ref id="scirp.94763-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Saab, G., Whaley-Connell, A.T., McCullough, P.A. and Bakris, G.L. (2008) CKD Awareness in the United States: The Kidney Early Evaluation Program (KEEP). American Journal of Kidney Diseases, 52, 382-383. https://doi.org/10.1053/j.ajkd.2008.05.026</mixed-citation></ref><ref id="scirp.94763-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Boulware, L.E., Troll, M.U., Jaar, B.G., Myers, D.I. and Powe, N.R. (2006) Identification and Referral of Patients with Progressive CKD: A National Study. American Journal of Kidney Diseases, 48, 192-204. https://doi.org/10.1053/j.ajkd.2006.04.073</mixed-citation></ref><ref id="scirp.94763-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">G&amp;oslash;ransson, L.G. and Bergrem, H. (2001) Consequences of Late Referral of Patients with End-Stage Renal Disease. Journal of Internal Medicine, 250, 154-159. https://doi.org/10.1046/j.1365-2796.2001.00869.x</mixed-citation></ref><ref id="scirp.94763-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Kinchen, K.S., Sadler, J., Fink, N., Brookmeyer, R., Klag, M.J., Levey, A.S. and Powe, N.R. (2002) The Timing of Specialist Evaluation in Chronic Kidney Disease and Mortality. Annals of Internal Medicine, 137, 479-486. https://doi.org/10.7326/0003-4819-137-6-200209170-00007</mixed-citation></ref><ref id="scirp.94763-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Stack, A.G. (2003) Impact of Timing of Nephrology Referral and Pre-ESRD Care on Mortality Risk among New ESRD Patients in the United States. American Journal of Kidney Diseases, 41, 310-318. https://doi.org/10.1053/ajkd.2003.50038</mixed-citation></ref><ref id="scirp.94763-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Chan, M.R., Dall, A.T., Fletcher, K.E., Lu, N. and Trivedi, H. (2007) Outcomes in Patients with Chronic Kidney Disease Referred Late to Nephrologists: A Meta-Analysis. The American Journal of Medicine, 120, 1063-1070. https://doi.org/10.1016/j.amjmed.2007.04.024</mixed-citation></ref><ref id="scirp.94763-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Ueland, A.S., Hornung, P.A. and Greenwald, B. (2006) Colorectal Cancer Prevention and Screening: A Health Belief Model-Based Research Study to Increase Disease Awareness. Gastroenterology Nursing: The Official Journal of the Society of Gastroenterology Nurses and Associates, 29, 357-363. https://doi.org/10.1097/00001610-200609000-00002</mixed-citation></ref><ref id="scirp.94763-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Swartz, M.D., Robinson, K., Davy, T. and Politoski, G. (1999) The Role of Patients in the Implementation of the National Kidney Foundation-Dialysis Outcomes Quality Initiative. Advances in Renal Replacement Therapy, 6, 52-58. https://doi.org/10.1016/S1073-4449(99)70008-7</mixed-citation></ref><ref id="scirp.94763-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Chow, W.L., Joshi, V.D., Tin, A.S., van der Erf, S., Lim, J.F., Swah, T.S., Teo, S.S., Goh, P.S., Tan, G.C., Lim, C. and Kee, T.Y. (2012) Limited Knowledge of Chronic Kidney Disease among Primary Care Patients—A Cross-Sectional Survey. BMC Nephrology, 13, 54. https://doi.org/10.1186/1471-2369-13-54</mixed-citation></ref><ref id="scirp.94763-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Tan, A.U., Hoffman, B. and Rosas, S.E. (2010) Patient Perception of Risk Factors Associated with Chronic Kidney Disease Morbidity and Mortality. Ethnicity &amp; Disease, 20, 106-110.</mixed-citation></ref><ref id="scirp.94763-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Erick, W. (2012) Chronic Kidney Disease Knowledge among Patients in the Nephrology Unit at Mulago Hospital, Uganda. MMJ Original Research Article, 1-6.</mixed-citation></ref><ref id="scirp.94763-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Sanne, S., Muntner, P., Kawasaki, L., Hyre, A. and DeSalvo, K.B. (2008) Hypertension Knowledge among Patients from an Urban Clinic. Ethnicity and Disease, 18, 42. https://doi.org/10.1097/00042871-200701010-00915</mixed-citation></ref><ref id="scirp.94763-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Turner, S., Iliffe, S., Downs, M., Wilcock, J., Bryans, M., Levin, E., Keady, J. and O’Carroll, R. (2004) General Practitioners’ Knowledge, Confidence and Attitudes in the Diagnosis and Management of Dementia. Age and Ageing, 33, 461-467. https://doi.org/10.1093/ageing/afh140</mixed-citation></ref><ref id="scirp.94763-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Gheewala, P.A., Peterson, G.M., Zaidi, S.T., Jose, M.D. and Castelino, R.L. (2018) Public Knowledge of Chronic Kidney Disease Evaluated Using a Validated Questionnaire: A Cross-Sectional Study. BMC Public Health, 18, 371. https://doi.org/10.1186/s12889-018-5301-4</mixed-citation></ref></ref-list></back></article>