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    <title>IMC Journal of Medical Science</title>
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                <title><![CDATA[Is Estimated Glomerular Filtration Rate (eGFR) a Better Predictor than Creatinine Cutoff to Detect Chronic Kidney Disease (CKD)?]]></title>

                                    <author><![CDATA[Parvin Akter Khanam]]></author>
                                    <author><![CDATA[Tanjima Begum]]></author>
                                    <author><![CDATA[Md. Morshed Alam Khan]]></author>
                                    <author><![CDATA[Sarwar Iqbal]]></author>
                                    <author><![CDATA[Akhter Banu]]></author>
                                    <author><![CDATA[Mir Masudur Rhaman]]></author>
                                    <author><![CDATA[M Abu Sayeed]]></author>
                
                <link data-url="https://imcjms.com/public/registration/journal_full_text/249">
    https://imcjms.com/public/registration/journal_full_text/249
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                <pubDate>Mon, 10 Jul 2017 11:07:54 +0000</pubDate>
                <category><![CDATA[Original Article]]></category>
                <comments><![CDATA[Ibrahim Med. Coll. J. 2014; 8(2): 50-55]]></comments>
                <description>Chronic kidney disease (CKD) with diabetes
mellitus is one of the most common and major public health problems globally.
In Bangladesh, several studies indicate an increasing prevalence of diabetes
though very few studies are available on CKD. For CKD, diagnostic method,
criteria or cutoffs still remained undecided. This study aimed to determine the
prevalence of CKD among the hospitalized patients and to compare the diagnostic
approach practiced in the hospital.
Results: A total of 4172 patients got admitted
in the study period of 90 days; and 442 patients (m / f = 256 / 186) were
investigated. Of the total (n=4172), 241 (5.8%) had CKDcreat&amp;nbsp;and 272 (6.5%) had CKDgfr. Of the investigated 442 patients, 241 (54.5%) had CKDcreat&amp;nbsp;and 272 (61.5%) had CKDgfr. The differences of characteristics between CKDcreat&amp;nbsp;and non-CKDcreat&amp;nbsp;groups were almost similar
to the differences between CKDgfr and non-CKDgfr&amp;nbsp;groups. Higher age, higher
social class and higher blood pressure showed significant (p&amp;lt;0.001) and
similar associations with both CKDcreat and CKDgfr. Interestingly, if the cut-off of eGFR is taken at &amp;lt;90
ml/min/1.732, as suggested by K/DOQI, the prevalence of
CKDgfr&amp;nbsp;increases to 86.7%. This indicates a wide
variation (32.2%) between the two criteria (CKDcreat: creat &amp;gt;1.2 mg/dl and CKDgfr: &amp;lt;90
ml/min/1.732). Thus, a large proportion remained either
under- or over-diagnosed depending on the criterion used.
Ibrahim Med. Coll. J. 2014; 8(2): 50-55
&amp;nbsp;
Chronic kidney disease (CKD) is a growing
public health problem both in the developing and developed world.1&amp;nbsp;Prevalence is estimated to
be 8-16% worldwide. The complications of CKD related to and resulted in
increased all-cause and cardiovascular mortality.2&amp;nbsp;More striking is the fact
that diabetes mellitus is the most common cause of chronic kidney disease, but
in some regions other causes, such as herbal and environmental toxins, are more
common.2&amp;nbsp;About
5% of the adult populations have some form of kidney damage and every year
millions of people die prematurely of cardiovascular diseases linked to CKD. The
recent literatures indicate that diabetes and hypertension are becoming the
most common causes of CKD, especially in older people both in developed and
developing nations,3,4&amp;nbsp;CKD is
estimated to effect 19 million people of US population and greater than 50
million people worldwide.5,6&amp;nbsp;In Bangladesh, a survey among the
disadvantaged community in Dhaka City revealed that 13.1% had CKD.7&amp;nbsp;This indicates that the
prevalence of CKD is not negligible. Early diagnosis of CKD and intervention
are the imperative measures to prevent or retard life-threatening
complications. The intervention measures initiating low-protein dietary
changes, close monitoring of blood pressure, control of blood glucose levels,
health related education, exercise, and so on.9&amp;nbsp;The aim of this study was to
estimate the burden of CKD in hospitalized patients and to compare the two
diagnostic criteria practiced in the hospital setting with a view to accept a
cheaper and simpler diagnostic method.
Subjects and Methods
Statistical analyses: Socio-demographic characteristics were given in percentages for
qualitative and mean (SD) for quantitative variables. Independent t-tests were
applied for comparisons of characteristics between CKDcreat&amp;nbsp;and NCKDcreat&amp;nbsp;group and between CKDgfr&amp;nbsp;and NCKDgfr&amp;nbsp;groups to see any difference
observed between these two comparisons. The prevalence rates for CKDcreat&amp;nbsp;and CKDgfr&amp;nbsp;were givenin percentages. We also used c2-test to assess risk factors like sex, age, residence, social
class, hypertension status, occupation and smoking for both types of CKD. The
values for eGFR based on K/DOQI and the corresponding values for creatinine
were shown in means with 95% confidence interval. A p&amp;lt; 0.05 was considered
statistically significant. All statistical analyses were performed using SPSS
20.0.
Results
Of the study population (n = 442) the males
were 256 and females were 186. Based on the two criteria (creat &amp;gt;1.2mg/dl)
and eGFR (&amp;lt;60 ml/min/ 1.73m2), the
prevalence of CKDcreat&amp;nbsp;and CKDgfr&amp;nbsp;was 5.8% and 6.5%,
respectively, among the admitted (n=4172) patients. In other words, at any
given period in a hospital, the prevalence of CKD ranges from 5 – 7%. In
contrast, when only the investigated (n = 442) patients were considered the
prevalence of CKDcreat&amp;nbsp;was
54.5% and CKDgfr, was 61.5%. (table 1). If the cut-off of eGFR
is taken at &amp;lt;90 ml/min/1.73m2, as suggested
by K/DOQI, the prevalence of CKDgfr&amp;nbsp;increased further to 86.7%. Thus, there was a
wide variation (32.2%) between the two criteria (CKDcreat: creat &amp;gt;1.2 mg/dl and CKDgfr: &amp;lt;90
ml/min/1.732).
&amp;nbsp;
The socio-demographic characteristics are
shown in Table 2. The mean (SD) age was 56.1 (13.9) and BMI was 23.3 (4.3).
Forty years and above comprised&amp;nbsp;&amp;nbsp; almost
90%. 
Table-2:&amp;nbsp;Demographic characteristics of the study population (N=442).   &amp;nbsp;
Table-3: Comparison of characteristics between
non-CKD (NCKD) and CKD based on serum creatinine and eGFR (cut-off: creat
1.2mg/dl and eGFR 60 ml/min/1.73m2).3
&amp;nbsp;
&amp;nbsp;
&amp;nbsp;
Table-4: Comparison of Prevalence of CKD (based on
both criteria) according to sex, age, residence, social class, hypertension,
occupation and smoking habit.
&amp;nbsp;
&amp;nbsp;
Discussion
Then which criteria should we follow? The
prevalence of CKDgfr&amp;nbsp;(eGFR
&amp;lt;90 ml/min/1.73 m2) was found 86.7%, based on K/DOQI (table 3).
In contrast, the prevalence of CKDcreat&amp;nbsp;was found 54.5%. based on creatinine level
(&amp;gt;1.2mg/dl). This means that about 38.5% remained undiagnosed by CKDcreat&amp;nbsp;or
over-diagnosed by CKDgfr&amp;nbsp;criteria.
The controversy remained still unsettled as reported from Pakistan.12&amp;nbsp;Had we included other
variables like micro-albuminuria, gross proteinuria, albumin-creatinine ratio
or evidence of other micro-angiopathic (retinopathy or neuropathy) and
macro-angiopathic lesions like coronary artery disease or cardiovascular
morbidity then we could have better assessment of diagnosis or grading of CKD.
The recent suggestion is that serum cystatin C alone or creatinine plus
cystatin C may predict better CKD.13&amp;nbsp;But, this recommendation was challenged by
others.14&amp;nbsp;Considering the above mentioned studies it
remained unsettled issue to recommend an accurate diagnostic tool for CKD. 
This study concludes that the prevalence of
CKD among the hospitalized patients is almost comparable to other studies and
the prevalence was found much higher if K/DOQI is used. Older age,
hypertension, rich class and urbanization were found significantly associated
CKD. The study suggests that inclusion of serum creatinine with eGFR,
micro-albuminuria, gross proteinuria, albumin-creatinine ratio and cystatin C
in a prospective cohort may determine more reliable and acceptable method for
the staging of CKD, which in turn may help screening of CKD. We also propose
that any population, free from diseases, should have the reference values
(mean, median, deviation percentile) of creatinine and body surface area (for
eGFR), any value exceeding 95th&amp;nbsp;percentile may be considered abnormal for
staging of CKD.
Acknowledgements
&amp;nbsp;
1.&amp;nbsp;&amp;nbsp;&amp;nbsp; The World Health Report 2003. Shaping the
future. World Health Organization; 2003.
3.&amp;nbsp;&amp;nbsp;&amp;nbsp; Levey AS, Coresh J, Balk E, et al. National
Kidney Foundation practice guidelines for chronic kidney disease: evaluation,
classification, and stratification. Ann Inter Med 2003; 139:
137-47.
5.&amp;nbsp;&amp;nbsp;&amp;nbsp; Coresh J, byrd-Holt D, Astor BC, Briggs JP,
Eggers PW, Lacher DA, Hostetter TH: Chronic kidney disease awareness,
prevalence, and trends among U.S adults, 1999 to 2000.&amp;nbsp; J Am Soc Nephrol 2005; 16:
180-88.
7.&amp;nbsp;&amp;nbsp;&amp;nbsp; Huda MN, Alam KS, Rashid HU, Alam MR, Rahman
MH and Selim SI. Prevalence of Chronic Kidney Disease in adult Disadvantageous
Population. Journal of Chittagong Medical College Teachers’ Association 2010;
21(2): 25-29.
9.&amp;nbsp;&amp;nbsp;&amp;nbsp; McClellan WM: Epidemiology and risk factors
for chronic kidney disease. The Medical clinics of North America 2005; 89(3):
419-45.
11.&amp;nbsp; Valmadrid CT, Klein R, Moss SE, Klein BE: The
risk of cardiovascular disease mortality associated with microalbuminuria and
gross proteinuria in persons with older-onset diabetes mellitus. Arch Intern
Med 2000; 160: 1093–1100.
13.&amp;nbsp; Shlipak MG, Matsushita K, Ärnlöv J, Inker LA,
Katz R, Polkinghorne KR, Rothenbacher D, Sarnak MJ, Astor BC, Coresh J, Levey
AS, Gansevoort RT; CKD Prognosis Consortium. Cystatin C versus creatinine in
determining risk based on kidney function. N Engl J Med. 2013; 369(10):
932-43.
15.&amp;nbsp; Mulder WJ, Hillen HFP. Renal function and
renal disease in the elderly. Eur J Int Med 2001; 12: 86-97.
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