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whose serum creatinine had been requested on at least two occasions in a one-year period in their health centre&#44; excluding those whose tests showed high variability &#40;greater than 0&#46;5mg&#47;dl of creatinine between the two tests&#41;&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">RESULTS</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">A total of 183 patients were included with a mean age of 59&#46;1&#177;18&#46;2 years&#44; with 64&#46;5&#37; being female &#40;mean age&#58; 58&#46;7 years vs&#46; 60&#46;0 years in males&#41;&#46;</p><p class="elsevierStylePara">With regard to pathologies&#44; 51&#46;4&#37; had high blood pressure&#44; 27&#46;9&#37; were diabetic&#44; 40&#46;4&#37; had dyslipidaemia and 11&#46;5&#37; suffered from some type of heart disease&#46; 6&#46;6&#37; of patients had hyperuricemia &#40;13&#46;8&#37; males&#44; 2&#46;5&#37; females&#44; <span class="elsevierStyleItalic">p</span>&#60;&#46;01&#41;&#46; 5&#46;5&#37; were diagnosed with chronic kidney disease&#46;</p><p class="elsevierStylePara">5&#46;5&#37; had kidney disease according to serum creatinine values &#40;9&#46;2&#37; of the males and 3&#46;4&#37; of the females&#44; <span class="elsevierStyleItalic">p</span>&#61;&#46;10&#41;&#46; Using the C-G equation&#44; 29&#46;1&#37; had a glomerular filtration rate &#40;GFR&#41; &#60;60ml&#47;min&#47;1&#46;73m&#178; &#40;25&#46;0&#37; of the males&#44; 31&#46;4&#37; of the females&#44; <span class="elsevierStyleItalic">p</span>&#61;&#46;37&#41; and 25&#46;7&#37; using the 4-variable MDRD equation &#40;24&#46;6&#37; of the males&#44; 26&#46;3&#37; of the females&#44; <span class="elsevierStyleItalic">p</span>&#61;&#46;81&#41;&#46; Table 1 compares the percentages of patients in accordance with their GFR using both equations&#46;</p><p class="elsevierStylePara">21&#46;4&#37; of patients according to the 4-variable MDRD equation and 25&#46;0&#37; according to the C-G equation had occult kidney disease&#46;</p><p class="elsevierStylePara">With regard to drugs that are potentially dangerous for patients with a low GFR&#44; it has been demonstrated that 40&#46;0&#37;-44&#46;4&#37; &#40;depending on the equation used&#41; of patients with stage 3-4 chronic kidney disease were being treated with non-steroidal anti-inflammatory drugs&#44; 15&#46;6&#37;-18&#46;0&#37; with metformin&#44; 15&#46;6&#37;-16&#46;0&#37; with oral anti-diabetic drugs and 6&#46;0&#37;-6&#46;7&#37; with allopurinol&#46;</p><p class="elsevierStylePara">If we analyse the level of concordance obtained between the two equations&#44; C-G<span class="elsevierStyleSup">2</span> and 4-variable MDRD<span class="elsevierStyleSup">3</span>&#44; we observe a level of concordance classified as very good &#40;index &#954; 0&#46;81&#177;0&#46;05&#44; <span class="elsevierStyleItalic">p</span>&#60;&#46;001&#44; &#967;<span class="elsevierStyleSup">2</span> test&#41; &#40;Table 2&#41;&#46; In a more detailed manner&#44; upon analysing the specific level of concordance of each stage of chronic kidney disease&#44; similar results were obtained mainly in advanced stages&#46; Thus&#44; for stage 1&#44; the level of concordance is weak &#40;&#954; 0&#46;39&#177;0&#46;09&#59; <span class="elsevierStyleItalic">p</span>&#60;&#46;001&#59; &#967;<span class="elsevierStyleSup">2</span> test&#41;&#44; for stage 2&#44; it is moderate &#40;&#954; 0&#46;56&#177;0&#46;06&#59; <span class="elsevierStyleItalic">p</span>&#60;&#46;001&#59; &#967;<span class="elsevierStyleSup">2</span> test&#41; and for stage 3&#44; it is very good &#40;&#954; 0&#46;84&#177;0&#46;05&#59; <span class="elsevierStyleItalic">p</span>&#60;&#46;001&#59; &#967;<span class="elsevierStyleSup">2</span> test&#41;&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">DISCUSSION</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">Approximately one in every four patients in our study had a GFR &#60;60ml&#47;min&#47;1&#46;73m<span class="elsevierStyleSup">2 </span>despite having creatinine values within the appropriate range&#46; In similar studies&#44; the percentage of patients with occult kidney disease varies between 10&#46;4&#37; and 43&#46;5&#37;&#44; according to the study population<span class="elsevierStyleSup">4-6</span>&#46; We observed a more prevalent decrease in GFR in females&#44; similarly to the aforementioned studies&#44; although in our study&#44; the differences observed were not statistically significant&#46;</p><p class="elsevierStylePara">Most patients assessed had a slightly decreased GFR&#46; The patients who had more marked GFR involvement were elderly patients with more cardiovascular risk factors&#44; similarly to studies of similar characteristics carried out in Primary Care<span class="elsevierStyleSup">7</span>&#46;</p><p class="elsevierStylePara">In our study&#44; high blood pressure&#44; hyperuricemia and heart disease were the pathologies most associated with moderate-severe GFR involvement&#46; Controlling these pathologies&#44; as well as diabetes mellitus&#44; must be one of our priorities&#44; not only in order to slow down progression&#44; but also to reduce cardiovascular risk&#44; which is significantly associated with chronic kidney disease<span class="elsevierStyleSup">8-10</span>&#46;</p><p class="elsevierStylePara">The concordance found between the two equations &#40;C-G and 4-variable MDRD&#41; improves as the degree of GFR involvement increases&#44; being very good in patients in stage 3&#46;</p><p class="elsevierStylePara">In conclusion&#44; the data show the ever increasing incidence of individuals with kidney disease in Primary Care clinics&#44; probably due to an ageing population&#44; concomitant diseases and the increase in medication use in general&#44; and mainly medications that can affect renal function&#46; We also noted the high percentage of individuals who had a decreased GFR despite maintaining normal plasma creatinine and who usually are undetected since their GFR is not estimated using a more reliable method&#46;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">&#160;</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Conflicts of interest</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">The authors declare that they have no conflicts of interest related to the contents of this article&#46;</p><p class="elsevierStylePara"><a href="grande&#47;12604&#95;16025&#95;61476&#95;en&#95;t112604&#46;jpg" class="elsevierStyleCrossRefs"><img src="12604_16025_61476_en_t112604.jpg" alt="Stratification of the glomerular filtration rate according to the values of the Cockcroft-Gault and MDRD-4 equations"></img></a></p><p class="elsevierStylePara">Table 1&#46; Stratification of the glomerular filtration rate according to the values of the Cockcroft-Gault and MDRD-4 equations</p><p class="elsevierStylePara"><a href="grande&#47;12604&#95;16025&#95;61477&#95;en&#95;t212604&#46;jpg" class="elsevierStyleCrossRefs"><img src="12604_16025_61477_en_t212604.jpg" alt="Concordance between the two equations used to determine the glomerular filtration rate"></img></a></p><p class="elsevierStylePara">Table 2&#46; Concordance between the two equations used to determine the glomerular filtration rate</p>"
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Occult kidney disease determined using glomerular filtration rate equations in Primary Care
Enfermedad renal oculta a través de las ecuaciones de filtrado glomerular en Atención Primaria
Francisco T. Pérez-Durilloa, Ana B. Villarejo-Villarb, Josefa Pérez-Durilloc, Ana I. Ribes-Bautistad, Carmen Macías-Ortiz de Galisteoe
a Licenciado en Medicina. Especialista en Medicina Familiar y Comunitaria. C.S. Bailén. Área de Gestión Sanitaria Norte de Jaén, Jaén,
b Licenciada en Farmacia, Departamento de Fisiología. Universidad de Jaén, Jaén,
c Diplomada Universitaria en Enfermería, Diputación Provincial de Jaén, Jaén,
d Doctora en Medicina. Especialista en Medicina Familiar y Comunitaria, C.S. San Felipe. Distrito Sanitario de Jaén, Jaén,
e Médico Interno Residente de 4º año de Medicina Familiar y Comunitaria, C.S. San Felipe. Distrito Sanitario de Jaén, Jaén,
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    "textoCompleto" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">To the Editor&#44;</span></p><p class="elsevierStylePara">In Spain&#44; around 11&#37; of the adult population suffers from some degree of chronic kidney disease<span class="elsevierStyleSup">1</span>&#44; a figure that will progressively grow due to an ageing population and the increase in the prevalence of other chronic diseases such as diabetes mellitus&#44; high blood pressure&#44; dyslipidaemia and obesity&#46;</p><p class="elsevierStylePara">We carried out this study with the objective of determining the percentage of patients with occult kidney disease using the Cockcroft-Gault &#40;C-G&#41; and&#47;or the 4-variable MDRD &#40;Modification of Diet in Renal Disease&#41; equations as an indirect measurement of renal function&#44; analysing the potential error made by exclusively assessing serum creatinine&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">MATERIAL AND METHOD</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">We performed a cross-sectional descriptive study with adult patients older than 18 years of age&#44; whose serum creatinine had been requested on at least two occasions in a one-year period in their health centre&#44; excluding those whose tests showed high variability &#40;greater than 0&#46;5mg&#47;dl of creatinine between the two tests&#41;&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">RESULTS</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">A total of 183 patients were included with a mean age of 59&#46;1&#177;18&#46;2 years&#44; with 64&#46;5&#37; being female &#40;mean age&#58; 58&#46;7 years vs&#46; 60&#46;0 years in males&#41;&#46;</p><p class="elsevierStylePara">With regard to pathologies&#44; 51&#46;4&#37; had high blood pressure&#44; 27&#46;9&#37; were diabetic&#44; 40&#46;4&#37; had dyslipidaemia and 11&#46;5&#37; suffered from some type of heart disease&#46; 6&#46;6&#37; of patients had hyperuricemia &#40;13&#46;8&#37; males&#44; 2&#46;5&#37; females&#44; <span class="elsevierStyleItalic">p</span>&#60;&#46;01&#41;&#46; 5&#46;5&#37; were diagnosed with chronic kidney disease&#46;</p><p class="elsevierStylePara">5&#46;5&#37; had kidney disease according to serum creatinine values &#40;9&#46;2&#37; of the males and 3&#46;4&#37; of the females&#44; <span class="elsevierStyleItalic">p</span>&#61;&#46;10&#41;&#46; Using the C-G equation&#44; 29&#46;1&#37; had a glomerular filtration rate &#40;GFR&#41; &#60;60ml&#47;min&#47;1&#46;73m&#178; &#40;25&#46;0&#37; of the males&#44; 31&#46;4&#37; of the females&#44; <span class="elsevierStyleItalic">p</span>&#61;&#46;37&#41; and 25&#46;7&#37; using the 4-variable MDRD equation &#40;24&#46;6&#37; of the males&#44; 26&#46;3&#37; of the females&#44; <span class="elsevierStyleItalic">p</span>&#61;&#46;81&#41;&#46; Table 1 compares the percentages of patients in accordance with their GFR using both equations&#46;</p><p class="elsevierStylePara">21&#46;4&#37; of patients according to the 4-variable MDRD equation and 25&#46;0&#37; according to the C-G equation had occult kidney disease&#46;</p><p class="elsevierStylePara">With regard to drugs that are potentially dangerous for patients with a low GFR&#44; it has been demonstrated that 40&#46;0&#37;-44&#46;4&#37; &#40;depending on the equation used&#41; of patients with stage 3-4 chronic kidney disease were being treated with non-steroidal anti-inflammatory drugs&#44; 15&#46;6&#37;-18&#46;0&#37; with metformin&#44; 15&#46;6&#37;-16&#46;0&#37; with oral anti-diabetic drugs and 6&#46;0&#37;-6&#46;7&#37; with allopurinol&#46;</p><p class="elsevierStylePara">If we analyse the level of concordance obtained between the two equations&#44; C-G<span class="elsevierStyleSup">2</span> and 4-variable MDRD<span class="elsevierStyleSup">3</span>&#44; we observe a level of concordance classified as very good &#40;index &#954; 0&#46;81&#177;0&#46;05&#44; <span class="elsevierStyleItalic">p</span>&#60;&#46;001&#44; &#967;<span class="elsevierStyleSup">2</span> test&#41; &#40;Table 2&#41;&#46; In a more detailed manner&#44; upon analysing the specific level of concordance of each stage of chronic kidney disease&#44; similar results were obtained mainly in advanced stages&#46; Thus&#44; for stage 1&#44; the level of concordance is weak &#40;&#954; 0&#46;39&#177;0&#46;09&#59; <span class="elsevierStyleItalic">p</span>&#60;&#46;001&#59; &#967;<span class="elsevierStyleSup">2</span> test&#41;&#44; for stage 2&#44; it is moderate &#40;&#954; 0&#46;56&#177;0&#46;06&#59; <span class="elsevierStyleItalic">p</span>&#60;&#46;001&#59; &#967;<span class="elsevierStyleSup">2</span> test&#41; and for stage 3&#44; it is very good &#40;&#954; 0&#46;84&#177;0&#46;05&#59; <span class="elsevierStyleItalic">p</span>&#60;&#46;001&#59; &#967;<span class="elsevierStyleSup">2</span> test&#41;&#46;</p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">DISCUSSION</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">Approximately one in every four patients in our study had a GFR &#60;60ml&#47;min&#47;1&#46;73m<span class="elsevierStyleSup">2 </span>despite having creatinine values within the appropriate range&#46; In similar studies&#44; the percentage of patients with occult kidney disease varies between 10&#46;4&#37; and 43&#46;5&#37;&#44; according to the study population<span class="elsevierStyleSup">4-6</span>&#46; We observed a more prevalent decrease in GFR in females&#44; similarly to the aforementioned studies&#44; although in our study&#44; the differences observed were not statistically significant&#46;</p><p class="elsevierStylePara">Most patients assessed had a slightly decreased GFR&#46; The patients who had more marked GFR involvement were elderly patients with more cardiovascular risk factors&#44; similarly to studies of similar characteristics carried out in Primary Care<span class="elsevierStyleSup">7</span>&#46;</p><p class="elsevierStylePara">In our study&#44; high blood pressure&#44; hyperuricemia and heart disease were the pathologies most associated with moderate-severe GFR involvement&#46; Controlling these pathologies&#44; as well as diabetes mellitus&#44; must be one of our priorities&#44; not only in order to slow down progression&#44; but also to reduce cardiovascular risk&#44; which is significantly associated with chronic kidney disease<span class="elsevierStyleSup">8-10</span>&#46;</p><p class="elsevierStylePara">The concordance found between the two equations &#40;C-G and 4-variable MDRD&#41; improves as the degree of GFR involvement increases&#44; being very good in patients in stage 3&#46;</p><p class="elsevierStylePara">In conclusion&#44; the data show the ever increasing incidence of individuals with kidney disease in Primary Care clinics&#44; probably due to an ageing population&#44; concomitant diseases and the increase in medication use in general&#44; and mainly medications that can affect renal function&#46; We also noted the high percentage of individuals who had a decreased GFR despite maintaining normal plasma creatinine and who usually are undetected since their GFR is not estimated using a more reliable method&#46;</p><p class="elsevierStylePara"><span class="elsevierStyleBold">&#160;</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Conflicts of interest</span></p><p class="elsevierStylePara">&#160;</p><p class="elsevierStylePara">The authors declare that they have no conflicts of interest related to the contents of this article&#46;</p><p class="elsevierStylePara"><a href="grande&#47;12604&#95;16025&#95;61476&#95;en&#95;t112604&#46;jpg" class="elsevierStyleCrossRefs"><img src="12604_16025_61476_en_t112604.jpg" alt="Stratification of the glomerular filtration rate according to the values of the Cockcroft-Gault and MDRD-4 equations"></img></a></p><p class="elsevierStylePara">Table 1&#46; Stratification of the glomerular filtration rate according to the values of the Cockcroft-Gault and MDRD-4 equations</p><p class="elsevierStylePara"><a href="grande&#47;12604&#95;16025&#95;61477&#95;en&#95;t212604&#46;jpg" class="elsevierStyleCrossRefs"><img src="12604_16025_61477_en_t212604.jpg" alt="Concordance between the two equations used to determine the glomerular filtration rate"></img></a></p><p class="elsevierStylePara">Table 2&#46; Concordance between the two equations used to determine the glomerular filtration rate</p>"
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Article information
ISSN: 20132514
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2022 May 37 37 74
2022 April 52 42 94
2022 March 45 54 99
2022 February 43 38 81
2022 January 68 38 106
2021 December 37 33 70
2021 November 39 40 79
2021 October 50 41 91
2021 September 29 40 69
2021 August 35 30 65
2021 July 54 38 92
2021 June 47 19 66
2021 May 66 30 96
2021 April 98 43 141
2021 March 83 34 117
2021 February 81 23 104
2021 January 48 13 61
2020 December 46 15 61
2020 November 55 14 69
2020 October 51 11 62
2020 September 83 9 92
2020 August 51 9 60
2020 July 66 11 77
2020 June 51 10 61
2020 May 49 24 73
2020 April 51 17 68
2020 March 60 14 74
2020 February 70 16 86
2020 January 73 16 89
2019 December 62 18 80
2019 November 52 27 79
2019 October 28 12 40
2019 September 66 14 80
2019 August 27 16 43
2019 July 51 16 67
2019 June 50 11 61
2019 May 83 12 95
2019 April 126 39 165
2019 March 52 22 74
2019 February 45 27 72
2019 January 67 22 89
2018 December 279 38 317
2018 November 241 17 258
2018 October 265 19 284
2018 September 279 10 289
2018 August 181 13 194
2018 July 138 17 155
2018 June 111 16 127
2018 May 117 16 133
2018 April 82 6 88
2018 March 71 11 82
2018 February 66 9 75
2018 January 58 5 63
2017 December 59 8 67
2017 November 56 7 63
2017 October 49 7 56
2017 September 56 9 65
2017 August 57 11 68
2017 July 71 17 88
2017 June 70 30 100
2017 May 90 16 106
2017 April 61 12 73
2017 March 57 11 68
2017 February 106 16 122
2017 January 49 11 60
2016 December 63 11 74
2016 November 76 6 82
2016 October 134 12 146
2016 September 181 2 183
2016 August 178 4 182
2016 July 188 3 191
2016 June 126 0 126
2016 May 167 0 167
2016 April 116 0 116
2016 March 112 0 112
2016 February 143 0 143
2016 January 138 0 138
2015 December 132 0 132
2015 November 97 0 97
2015 October 113 0 113
2015 September 86 0 86
2015 August 78 0 78
2015 July 97 0 97
2015 June 34 0 34
2015 May 59 0 59
2015 April 11 0 11
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¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?