Undiagnosed kidney disease in hospitalised patients: an opportunity for improvement
La enfermedad renal que se oculta tras los ingresos: una oportunidad de mejora
Grupo de Investigación ERC AragónGrupo de investigación ERC AragónBelén Campos GutiérrezbB.. Campos GutiérrezcLuis Miguel Lou ArnaldL.M.. Lou ArnaleJosé Antonio Gimeno OrnabJ.A.. Gimeno OrnafOlga Gracia GarcíagO.. Gracia GarcíacMarta Cuberes IzquierdohM.. Cuberes IzquierdoeJosé María Turón CalzadadJ.M.. Turón AlcaineiLaura Arnaudas CasanovabL.. Arnaudas CasanovaeBeatriz Boned JulianigB.. Boned JulianijSara Bielsa GraciakS.. Bielsa GraciaeAlberto Sanjuán Hernández-Frenche
b Servicio de Medicina Interna, Hospital de Alcañiz, Teruel, España,
c Servicio de Nefrología, Hospital de Alcañiz, Teruel,
d Servicio de Nefrología, Hospital de Alcañiz, Teruel, España,
e Servicio de Nefrología, Hospital Universitario Miguel Servet, Zaragoza,
f Servicio de Medicina Interna, Hospital de Alcañiz, Teruel,
g Servicio de Bioquímica, Hospital de Alcañiz, Teruel, España,
h Servicio de Nefrología, Hospital Universitario Miguel Servet, Zaragoza, España,
i Servicio de Calidad Sector Sanitario de Alcañiz, Teruel,
j Servicio de Bioquímica, Hospital de Alcañiz, Teruel. Instituto Aragonés de Ciencias de la Salud,
k Servicio de Calidad Sector Sanitario de Alcañiz, Instituto Aragonés de Ciencias de la Salud, Teruel, España,
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Campos Gutiérrez, Luis Miguel Lou Arnal, L.M. Lou Arnal, José Antonio Gimeno Orna, J.A. Gimeno Orna, Olga Gracia García, O. Gracia García, Marta Cuberes Izquierdo, M. Cuberes Izquierdo, José María Turón Calzada, J.M. Turón Alcaine, Laura Arnaudas Casanova, L. Arnaudas Casanova, Beatriz Boned Juliani, B. Boned Juliani, Sara Bielsa Gracia, S. Bielsa Gracia, Alberto Sanjuán Hernández-French" "autores" => array:21 [ 0 => array:1 [ "apellidos" => "Grupo de Investigación ERC Aragón" ] 1 => array:1 [ "apellidos" => "Grupo de investigación ERC Aragón" ] 2 => array:3 [ "nombre" => "Belén" "apellidos" => "Campos Gutiérrez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "affb" ] ] ] 3 => array:3 [ "Iniciales" => "B." 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Instituto Aragonés de Ciencias de la Salud, " "etiqueta" => "<span class="elsevierStyleSup">j</span>" "identificador" => "affj" ] 9 => array:3 [ "entidad" => "Servicio de Calidad Sector Sanitario de Alcañiz, Instituto Aragonés de Ciencias de la Salud, Teruel, España, " "etiqueta" => "<span class="elsevierStyleSup">k</span>" "identificador" => "affk" ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "La enfermedad renal que se oculta tras los ingresos: una oportunidad de mejora" ] ] "textoCompleto" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">INTRODUCTION AND OBJECTIVES</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara">In recent years, extensive studies have reinforced the understanding that chronic kidney disease (CKD) is a public health problem given its high prevalence<span class="elsevierStyleSup">1</span> and its resulting increased morbidity and mortality, and its evolution towards end-stage CKD.<span class="elsevierStyleSup">2,3</span> Despite available measures to prevent its deleterious effects,<span class="elsevierStyleSup">4,5</span> the condition is currently under-diagnosed and its detection and appropriate treatment is one of the strategic objectives of the Spanish Society of Nephrology (S.E.N. by its Spanish initials).<span class="elsevierStyleSup">6</span></p><p class="elsevierStylePara">Although there have been major epidemiological studies on the general population1 and in patients in primary care,7,8 less is known about data on hospitalised patients, such as the prevalence of CKD, the incidence of kidney function deterioration during hospitalisation and the attention paid to this condition during hospitalisation and after discharge. The importance of these data is reinforced by the higher rate of hospitalisation of patients with CKD and the fact that this group has a high risk of associated in-hospital morbidity and drug side effects.</p><p class="elsevierStylePara">In order to identify ways to improve the care process for hospitalised patients with kidney disease, we initiated a new project called "Kidney disease in hospitalised patients. Detection by MDRD formula (Modification of Diet in Renal Disease) and implications for the management of patients" into the Support Programme for the Quality Improvement Initiatives in the Aragon Health Department.</p><p class="elsevierStylePara">Within this project, we analysed the adequacy of the diagnostic process for kidney disease in hospitalised patients and whether it was included in the patient's medical record and hospital discharge report.</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">MATERIAL AND METHOD</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Design</span></p><p class="elsevierStylePara"> </p><p class="elsevierStylePara">Retrospective cross-sectional descriptive study</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Inclusion criteria</span></p><p class="elsevierStylePara"> </p><p class="elsevierStylePara">Clinical audit of a randomly selected sample of 200 medical records from the 2,104 patients over 18 years of age admitted to Alcañiz Hospital during the second half of 2008 (admitted for any cause except obstetrics and minor surgery).</p><p class="elsevierStylePara"> </p><p class="elsevierStylePara"><span class="elsevierStyleBold">Data Sources</span></p><p class="elsevierStylePara"> </p><p class="elsevierStylePara">Laboratory database, medical history and discharge report.</p><p class="elsevierStylePara"> </p><p class="elsevierStylePara"><span class="elsevierStyleBold">Variables</span></p><p class="elsevierStylePara"> </p><p class="elsevierStylePara">The following variables were recorded: demographics (age and sex); previous diagnosis of diabetes mellitus, arterial hypertension and chronic kidney disease; department where the patient was hospitalised, reason and duration of hospitalisation; serum creatinine (SCr) prior to admission, at admission and throughout hospitalisation and, lastly, diagnosis of CKD and/or kidney function deterioration during hospitalisation in the clinical evolution and in the discharge report.</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Variables generated</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara">1. <span class="elsevierStyleBold">Estimation of kidney function.</span> An evaluation of kidney function was conducted by collecting serum creatinine levels and calculating estimated glomerular filtration rates (eGFR) according to the MDRD (Modification of Diet in Renal Disease) study equation.<span class="elsevierStyleSup">9,10</span></p><p class="elsevierStylePara">eGFR = 186 x (creatinine)—1.154 x (age)—0.203 x (0.742 if female)</p><p class="elsevierStylePara">x (1.210 if black).</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara">2. <span class="elsevierStyleBold">Definition of CKD. </span>We define CKD according to the K/DOQUI 2002 guidelines of the National Kidney Foundation. CKD is defined by the presence of an eGFR lower than 60 ml/min/1.73m<span class="elsevierStyleSup">2</span> for a period equal to or greater than 3 months.</p><p class="elsevierStylePara">3.<span class="elsevierStyleBold"> Definition of acute deterioration of kidney function (AKF).</span> We adopted the RIFLE definition according to GFR levels of the Second Consensus Conference of the Acute Dialysis Quality Initiative. This model stratifies AKF as risk, injury, failure, loss and end-stage disease:11,12</p><p class="elsevierStylePara">a) Risk: increase in SCr prior normal to readings >1.5 mg/dl or eGFR decrease of >25%.</p><p class="elsevierStylePara">b) Injury: increase in SCr prior normal to readings >2 mg/dl or eGFR decrease of >50%.</p><p class="elsevierStylePara">c) Failure: increase in SCr prior normal to readings >3 mg/dl or eGFR decrease of >75%.</p><p class="elsevierStylePara">d) Persistent AKF: complete loss of kidney function >4 weeks.</p><p class="elsevierStylePara">e) End-stage kidney disease: complete loss of kidney function >3 months.</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Quality indicators</span></p><p class="elsevierStylePara">1.<span class="elsevierStyleBold"> </span><span class="elsevierStyleItalic">For all patients admitted</span>, kidney function must be recorded on admission and at least one new determination must be made during hospitalisation. As a quality indicator in detecting kidney disease, we established the percentage of patients in whom at least one determination of kidney function throughout hospitalisation was performed.</p><p class="elsevierStylePara">2.<span class="elsevierStyleBold"> </span><span class="elsevierStyleItalic">In patients hospitalised with a history of CKD and in patients with kidney function deterioration during hospitalisation</span>, the diagnosis must be included in the clinical history and hospital discharge report. We consider the following to be indicators of correct information on this condition: <span class="elsevierStyleItalic">1)</span> the percentage of patients who meet the criteria for CKD and/or kidney function deterioration and whose clinical evolution includes this diagnosis, and <span class="elsevierStyleItalic">2)</span> the percentage of patients who meet the criteria for CKD and/or kidney function deterioration and whose hospital discharge report includes this diagnosis.</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Statistical Analysis</span></p><p class="elsevierStylePara"> </p><p class="elsevierStylePara">To calculate the sample size, we considered the following parameters: a finite population of 2,104 patients admitted during the second half of 2008, exhaustive random sampling, an estimated proportion of patients with eGFR<60ml/min/1.73m<span class="elsevierStyleSup">2</span> on admission of 35%, 95% confidence level and maximum estimation error of 10%.</p><p class="elsevierStylePara">Quantitative variables were described using the mean and standard deviation and qualitative variables by frequency distribution. The exact confidence intervals were calculated using the binomial distribution. Comparison of quantitative variables was performed using the Student's t-test for independent data and qualitative variables were compared using the chi-squared test or Fisher's exact test. A <span class="elsevierStyleItalic">P</span><.05 was considered significant. The statistical analysis was performed using the SPSS software for Windows version 10.1.</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">RESULTS</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Characteristics of all patients admitted</span></p><p class="elsevierStylePara">The mean age of the 200 patients was 71.1 years (17) (range: 22-95 years), with 58% male and 42% female. Patients were admitted to the medical areas in 63% of cases and to the surgical areas in 37%. The mean stay was 9.4 days (5) (range: 3-28 days). During hospitalisation, 18 patients died (9%). Among the associated diseases, the high incidence of arterial hypertension (AHT) (56%) and diabetes (24%) stand out.</p><p class="elsevierStylePara">The mean values for prior SCr and eGFR at admission, at the time of maximum kidney function deterioration during hospitalisation and at discharge are shown in Table 1 along with the number of patients for whom each of the determinations were made. The classification of CKD according to K/DOQI stages is shown in Table 2.</p><p class="elsevierStylePara">Of the total of patients whose kidney function was monitored during hospitalisation, 31.5% met the criteria for risk of AKF, 12.3% for injury and 2.7% for failure (Table 3).</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Indicator of proper detection of kidney disease during hospitalisation</span></p><p class="elsevierStylePara">Percentage of patients in whom at least one determination of kidney function during hospitalisation was performed.</p><p class="elsevierStylePara">Ninety-seven percent of patients had kidney function monitoring at admission. However, there was no monitoring of kidney function during hospitalisation in 54 patients (27%; CI ± 5.9). When reviewing the reasons for this group's hospital admissions, we concluded that the condition of up to 66.6% of these patients was severe enough to recommend this monitoring (major surgery, infections with complications, cardiovascular events). The information of the 54 patients in whom kidney function monitoring was not performed during hospitalisation is shown in Table 4.</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Indicators of correct information on the condition</span></p><p class="elsevierStylePara"> </p><p class="elsevierStylePara">1. Percentage of patients who meet criteria for CKD and/or kidney function deterioration and whose clinical evolution includes this diagnosis.</p><p class="elsevierStylePara">Only 28% (CI ± 11.9) of patients with criteria for prior CKD at admission had this diagnosis included in the hospital medical records and 50% (CI ± 11.5) of cases with kidney function deterioration during hospitalisation had this diagnosis in their medical history.</p><p class="elsevierStylePara">2. Percentage of patients who meet criteria for CKD and/or kidney function deterioration and whose hospital discharge report includes this diagnosis.</p><p class="elsevierStylePara">The diagnosis of CKD was present in the hospital discharge report for 34% of cases (CI ± 11.6) coinciding with the percentage for whom kidney function deterioration during hospitalisation was reported, 34% (CI ± 12.6).</p><p class="elsevierStylePara"><span class="elsevierStyleBold"> </span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">DISCUSSION</span></p><p class="elsevierStylePara">In our study, by analysing a random sample of 200 hospitalised patients, we see that in 27%, no monitoring of kidney function was conducted and the diagnosis of CKD and the incidence of kidney function deterioration during hospitalisation were frequently not recorded in the clinical progress reports or in the hospital discharge report. These data reflect the lack of awareness of the condition by our colleagues.</p><p class="elsevierStylePara">The lack of monitoring of kidney function during hospitalisation may be justified in some cases, such as short stays for relatively unimportant procedures, but we found data on our patients that deserve further reflection:</p><p class="elsevierStylePara">- Age, the associated pathology (AHT, diabetes, and CKD) and the average length of stay were similar to those of the group whose evolution of eGFR was monitored.</p><p class="elsevierStylePara">- The percentage of patients for whom no monitoring was performed is significantly greater in surgical areas than in medical areas.</p><p class="elsevierStylePara">- As a reflection of the severity of the condition leading to admission, 59.3% of cases in which there was no monitoring of eGFR had their hospitalisation extended by seven or more days. Upon reviewing the reasons for admission, we believe that up to 66.6% of cases were complicated enough to recommend this monitoring (major surgery, infections with complications and cardiovascular events).</p><p class="elsevierStylePara">A simple criterion for improvement, such as the recommendation to perform at least one kidney function monitoring per week in patients hospitalised for more than 7 days, would resolve this issue, which in our opinion is currently inadequately addressed.</p><p class="elsevierStylePara">The high prevalence of CKD in this population (influenced by a greater age and associated pathology) and the high incidence of kidney function deterioration based on the RIFLE criteria highlight the need for further work in recognising kidney disease as a cardiovascular risk factor, which progresses to end-stage kidney failure and complications during hospitalisation.</p><p class="elsevierStylePara">This study has the limitations of being conducted in a single centre with its particular characteristics (regional hospital with no ICU). There is also the limited value of the eGFR calculation in the assessment of kidney function in hospitalised patients and due to situations such as special diets prior to admission (strict vegetarians, creatine and creatinine supplements), important alterations in muscle mass (loss of muscle mass, paralysis [no amputations or muscle diseases were registered], body mass index below 19 kg/m2 or above 35 kg/m2 and presence of severe liver disease, general oedema and ascites. Nonetheless, we believe this study highlights the problem of under-diagnosis and lack of attention to kidney disease in hospitals.</p><p class="elsevierStylePara">To summarise, the prevalence of CKD prior to admission (25%) and the incidence of kidney function deterioration during hospitalisation (46.5%) are high. Often these diagnoses are not included in the clinical progress reports or in the hospital discharge report. These data stress the lack of importance given this condition in hospitalised patients and indicates first, a failure to recognise kidney disease that may complicate hospitalisation and, second, a significant lack of information and awareness by primary care physicians, which increases the risk of inadequate monitoring and treatment of these patients. The implementation of a clinical practice protocol and its dissemination throughout the hospital may serve as an effective tool for achieving more efficient and consistent care for this condition.</p><p class="elsevierStylePara"><a href="10284_16025_13015_en_w4777105810810284_18107_3769_en_10284_12007_3769_en_tabla_i_en.doc" class="elsevierStyleCrossRefs">10284_16025_13015_en_w4777105810810284_18107_3769_en_10284_12007_3769_en_tabla_i_en.doc</a></p><p class="elsevierStylePara">Table 1. Values of creatinine and glomerular filtration prior to admission, on admission, the most deterioration value during hospitalisation and value at discharge. Shows the number of patients who underwent each test</p><p class="elsevierStylePara"><a href="10284_16025_13016_en_w4777105810910284_18107_3771_en_10284_12007_3771_en_tabla_ii_en.doc" class="elsevierStyleCrossRefs">10284_16025_13016_en_w4777105810910284_18107_3771_en_10284_12007_3771_en_tabla_ii_en.doc</a></p><p class="elsevierStylePara">Table 2. Stages of CKD according to K/DOQI criteria prior to admission, on admission, minimum during hospitalisation and at discharge. Shows the number of patients who underwent each test</p><p class="elsevierStylePara"><a href="10284_16025_13017_en_w47771058101010284_18107_3774_en_10284_12007_3774_en_tabla_iii_en.doc" class="elsevierStyleCrossRefs">10284_16025_13017_en_w47771058101010284_18107_3774_en_10284_12007_3774_en_tabla_iii_en.doc</a></p><p class="elsevierStylePara">Table 3. Percentage of patients with kidney function deterioration during hospitalisation according to RIFLE criteria</p><p class="elsevierStylePara"><a href="10284_16025_13018_en_w47771058101110284_18107_3776_es_10284_12007_3776_en_tabla_iv_en.doc" class="elsevierStyleCrossRefs">10284_16025_13018_en_w47771058101110284_18107_3776_es_10284_12007_3776_en_tabla_iv_en.doc</a></p><p class="elsevierStylePara">Table 4. Characteristics of the group of patients without monitoring of kidney function during hospitalisation versus those with monitoring</p>" "pdfFichero" => "P1-E515-S2779-A10284-EN.pdf" "tienePdf" => true "PalabrasClave" => array:2 [ "es" => array:5 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec441383" "palabras" => array:1 [ 0 => "Detección precoz de enfermedad renal" ] ] 1 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec441385" "palabras" => array:1 [ 0 => "Enfermedad renal en pacientes hospitalizados" ] ] 2 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec441387" "palabras" => array:1 [ 0 => "Vía clínica enfermedad renal" ] ] 3 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec441389" "palabras" => array:1 [ 0 => "Fracaso renal agudo" ] ] 4 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec441391" "palabras" => array:1 [ 0 => "Enfermedad renal crónica" ] ] ] "en" => array:5 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec441384" "palabras" => array:1 [ 0 => "Early detection of kidney disease" ] ] 1 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec441386" "palabras" => array:1 [ 0 => "Kidney disease in hospitalised patients" ] ] 2 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec441388" "palabras" => array:1 [ 0 => "Kidney disease clinical pathway" ] ] 3 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec441390" "palabras" => array:1 [ 0 => "Acute kidney failure" ] ] 4 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec441392" "palabras" => array:1 [ 0 => "Chronic kidney disease" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:1 [ "resumen" => "<p class="elsevierStylePara"><span class="elsevierStyleBold"><span class="elsevierStyleItalic">Objectives</span></span><span class="elsevierStyleBold"><span class="elsevierStyleItalic">:</span></span><span class="elsevierStyleItalic"> In hospitalised patients, chronic kidney disease (CKD) is associated with a high risk of morbidity, mortality and drug toxicity. We identified care improvement opportunities in hospitalised patients with kidney disease in a regional hospital. </span><span class="elsevierStyleBold"><span class="elsevierStyleItalic">Material and method</span></span><span class="elsevierStyleBold"><span class="elsevierStyleItalic">: </span></span><span class="elsevierStyleItalic">Clinical audit: 200 patients hospitalised for any reason in Alcañiz Hospital (Spain) were randomly selected. The data sources were laboratory data, clinical history and discharge reports. RIFLE criteria were applied to define kidney function deterioration. As process quality indicators we used: </span><span class="elsevierStyleItalic">1)</span><span class="elsevierStyleItalic"> percentage of hospitalised patients with at least one determination of kidney function during admission. </span><span class="elsevierStyleItalic">2)</span><span class="elsevierStyleItalic"> percentage of patients who met criteria for CKD and/or kidney function deterioration and who had this diagnosis recorded in clinical progress reports. </span><span class="elsevierStyleItalic">3)</span><span class="elsevierStyleItalic"> percentage of patients who met criteria for CKD and/or kidney function deterioration and who had this diagnosis recorded in the discharge report. </span><span class="elsevierStyleBold"><span class="elsevierStyleItalic">Results</span></span><span class="elsevierStyleBold"><span class="elsevierStyleItalic">:</span></span><span class="elsevierStyleItalic"> Mean age was 71.1 (17) years, 42% women, 63% admitted to medical areas and 37% to surgical areas. Some 194 patients had a kidney function determination at admission; however during their stay kidney function was not monitored in 54 patients (27%), especially in surgical areas. CKD diagnosis by analyses prior to admission was available for 50 patients (25%); however this diagnosis figures in the clinical history in 14 of them (28%), and in the discharge report in 17 (34%). Kidney function deterioration was detected in 68 of the 146 patients who had kidney function monitoring during hospitalisation (46.5%). This information was contained in the clinical history in only 50% of cases and in the discharge report in 33.8%. </span><span class="elsevierStyleBold"><span class="elsevierStyleItalic">Conclusions</span></span><span class="elsevierStyleBold"><span class="elsevierStyleItalic">:</span></span><span class="elsevierStyleItalic"> The incidence of CKD prior to admission and deterioration of kidney function during hospitalisation are high. Often these diagnoses are not included in clinical progress reports or in the discharge report, reflecting poor condition awareness on the part of our colleagues. Implementation of a clinical protocol and its diffusion throughout the hospital may be important tools to achieving more efficient and consistent management of these conditions.</span></p>" ] "es" => array:1 [ "resumen" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">Objetivos:</span> Los pacientes hospitalizados afectados de enfermedad renal crónica (ERC) constituyen un grupo de elevado riesgo de sufrir morbilidad intrahospitalaria asociada y efectos adversos de fármacos. Pretendemos identificar oportunidades de mejora en el proceso asistencial de pacientes con enfermedad renal ingresados en un hospital comarcal. <span class="elsevierStyleBold">Material y método:</span> Auditoría clínica: muestreo aleatorio simple sobre 200 ingresos por cualquier motivo en el Hospital de Alcañiz. Las fuentes de datos fueron la base de datos del laboratorio, la historia clínica y el informe de alta. Como indicadores de deterioro de función renal durante el ingreso se aplicaron los criterios RLIPT. Como indicadores de calidad del proceso consideramos: <span class="elsevierStyleItalic">1)</span> porcentaje de pacientes en los que se realiza al menos una determinación de función renal a lo largo del ingreso; <span class="elsevierStyleItalic">2)</span> porcentaje de pacientes que cumplen criterios de ERC y/o de deterioro de función renal y en quienes este diagnóstico figura en la evolución clínica, y<span class="elsevierStyleItalic"> 3)</span> porcentaje de pacientes que cumplen criterios de ERC y/o deterioro de función renal y figura este diagnóstico en el informe de alta hospitalaria. <span class="elsevierStyleBold">Resultados:</span> La edad media fue de 71,1 ± 17 años, el 42% fueron mujeres, el 63% ingresados en áreas médicas y el 37% en áreas quirúrgicas; en 194 pacientes se disponía de control de función renal en el momento del ingreso; sin embargo, durante la estancia hospitalaria en 54 casos (27%) no se realizó ningún control posterior, especialmente en áreas quirúrgicas. Se constató ERC a través de la analíticas previas al ingreso disponibles en 50 pacientes (25%), aunque tan sólo figura este diagnóstico en la historia clínica hospitalaria en 14 de ellos (28%), y en el informe de alta en 17 casos (34%). Detectamos deterioro de función renal en 68 pacientes de los 146 en quienes se realizó control de la misma durante el ingreso (un 46,5%). Este dato figura en la historia clínica únicamente en el 50 % y en el informe de alta en el 33,8%. <span class="elsevierStyleBold">Conclusiones:</span> La incidencia de ERC previa al ingreso y de deterioro de función renal durante el mismo es elevada. Es frecuente que el diagnóstico de ERC o de su deterioro durante la hospitalización no figure en la evolución clínica ni en el informe de alta, reflejo de una escasa conciencia del proceso por parte de nuestros compañeros. La implantación de un protocolo de práctica clínica y su difusión hospitalaria puede servir como una herramienta eficaz para conseguir una atención más eficiente y consistente de este proceso.</p>" ] ] "multimedia" => array:4 [ 0 => array:8 [ "identificador" => "mmc1" "etiqueta" => "Tab. 1" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "Ecomponente" => array:2 [ "fichero" => "10284_16025_13015_en_w4777105810810284_18107_3769_en_10284_12007_3769_en_tabla_i_en.doc" "ficheroTamanyo" => 27136 ] "descripcion" => array:1 [ "en" => "Values of creatinine and glomerular filtration prior to admission, on admission, the most deterioration value during hospitalisation and value at discharge. Shows the number of patients who underwent each test" ] ] 1 => array:8 [ "identificador" => "mmc2" "etiqueta" => "Tab. 2" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "Ecomponente" => array:2 [ "fichero" => "10284_16025_13016_en_w4777105810910284_18107_3771_en_10284_12007_3771_en_tabla_ii_en.doc" "ficheroTamanyo" => 28160 ] "descripcion" => array:1 [ "en" => "Stages of CKD according to K/DOQI criteria prior to admission, on admission, minimum during hospitalisation and at discharge. Shows the number of patients who underwent each test" ] ] 2 => array:8 [ "identificador" => "mmc3" "etiqueta" => "Tab. 3" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "Ecomponente" => array:2 [ "fichero" => "10284_16025_13017_en_w47771058101010284_18107_3774_en_10284_12007_3774_en_tabla_iii_en.doc" "ficheroTamanyo" => 25600 ] "descripcion" => array:1 [ "en" => "Percentage of patients with kidney function deterioration during hospitalisation according to RIFLE criteria" ] ] 3 => array:8 [ "identificador" => "mmc4" "etiqueta" => "Tab. 4" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "Ecomponente" => array:2 [ "fichero" => "10284_16025_13018_en_w47771058101110284_18107_3776_es_10284_12007_3776_en_tabla_iv_en.doc" "ficheroTamanyo" => 31744 ] "descripcion" => array:1 [ "en" => "Characteristics of the group of patients without monitoring of kidney function during hospitalisation versus those with monitoring" ] ] ] "bibliografia" => array:2 [ "titulo" => "Bibliography" "seccion" => array:1 [ 0 => array:1 [ "bibliografiaReferencia" => array:13 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:3 [ "referenciaCompleta" => "Otero A, De Francisco A, Gayoso P, García F, on behalf of the EPIRCE Study Group. Prevalence of chronic renal disease in Spain: Results of the EPIRCE study. Nefrologia 2010;30:1-9. <a href="http://www.ncbi.nlm.nih.gov/pubmed/20098467" target="_blank">[Pubmed]</a>" "contribucion" => array:1 [ 0 => null ] "host" => array:1 [ 0 => null ] ] ] ] 1 => array:3 [ "identificador" => "bib2" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:3 [ "referenciaCompleta" => "Go AS, Chertow GM, Fan D, McCulloch CE, Hsu C-Y. Chronic kidney disease and the risk of death, cardiovascular events, and hospitalization. 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Nefrologia 2006;26:1-4. <a href="http://www.ncbi.nlm.nih.gov/pubmed/17806214" target="_blank">[Pubmed]</a>" "contribucion" => array:1 [ 0 => null ] "host" => array:1 [ 0 => null ] ] ] ] 6 => array:3 [ "identificador" => "bib7" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:3 [ "referenciaCompleta" => "De Francisco AL, De la Cruz JJ, Cases A, De la Figuera M, Egocheaga MI, Górriz JI, et al.\u{A0}Prevalencia de insuficiencia renal en Centros de Atención Primaria en España: Estudio EROCAP. Nefrologia 2007;27:300-12." "contribucion" => array:1 [ 0 => null ] "host" => array:1 [ 0 => null ] ] ] ] 7 => array:3 [ "identificador" => "bib8" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:3 [ "referenciaCompleta" => "Lou LM, Campos B, Boned B, Turón JM, Gimeno JA. Estimación del filtrado glomerular en atención primaria: prevalencia de enfermedad renal crónica y repercusión sobre la derivación a nefrología. 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| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 6 | 3 | 9 |
| 2024 October | 50 | 36 | 86 |
| 2024 September | 50 | 30 | 80 |
| 2024 August | 57 | 62 | 119 |
| 2024 July | 44 | 31 | 75 |
| 2024 June | 45 | 39 | 84 |
| 2024 May | 72 | 37 | 109 |
| 2024 April | 60 | 37 | 97 |
| 2024 March | 48 | 25 | 73 |
| 2024 February | 51 | 27 | 78 |
| 2024 January | 45 | 35 | 80 |
| 2023 December | 44 | 18 | 62 |
| 2023 November | 54 | 28 | 82 |
| 2023 October | 67 | 24 | 91 |
| 2023 September | 72 | 36 | 108 |
| 2023 August | 52 | 21 | 73 |
| 2023 July | 58 | 30 | 88 |
| 2023 June | 50 | 28 | 78 |
| 2023 May | 53 | 41 | 94 |
| 2023 April | 30 | 19 | 49 |
| 2023 March | 84 | 26 | 110 |
| 2023 February | 41 | 20 | 61 |
| 2023 January | 30 | 31 | 61 |
| 2022 December | 59 | 45 | 104 |
| 2022 November | 39 | 30 | 69 |
| 2022 October | 54 | 41 | 95 |
| 2022 September | 42 | 33 | 75 |
| 2022 August | 43 | 52 | 95 |
| 2022 July | 37 | 48 | 85 |
| 2022 June | 46 | 39 | 85 |
| 2022 May | 43 | 24 | 67 |
| 2022 April | 44 | 51 | 95 |
| 2022 March | 47 | 56 | 103 |
| 2022 February | 36 | 53 | 89 |
| 2022 January | 46 | 31 | 77 |
| 2021 December | 29 | 41 | 70 |
| 2021 November | 35 | 28 | 63 |
| 2021 October | 29 | 50 | 79 |
| 2021 September | 39 | 30 | 69 |
| 2021 August | 25 | 32 | 57 |
| 2021 July | 21 | 24 | 45 |
| 2021 June | 26 | 23 | 49 |
| 2021 May | 40 | 26 | 66 |
| 2021 April | 86 | 91 | 177 |
| 2021 March | 50 | 26 | 76 |
| 2021 February | 49 | 19 | 68 |
| 2021 January | 26 | 18 | 44 |
| 2020 December | 36 | 12 | 48 |
| 2020 November | 22 | 14 | 36 |
| 2020 October | 22 | 16 | 38 |
| 2020 September | 27 | 13 | 40 |
| 2020 August | 39 | 11 | 50 |
| 2020 July | 42 | 11 | 53 |
| 2020 June | 20 | 35 | 55 |
| 2020 May | 33 | 17 | 50 |
| 2020 April | 36 | 16 | 52 |
| 2020 March | 30 | 16 | 46 |
| 2020 February | 27 | 21 | 48 |
| 2020 January | 33 | 23 | 56 |
| 2019 December | 21 | 18 | 39 |
| 2019 November | 16 | 16 | 32 |
| 2019 October | 18 | 20 | 38 |
| 2019 September | 19 | 17 | 36 |
| 2019 August | 10 | 9 | 19 |
| 2019 July | 29 | 25 | 54 |
| 2019 June | 17 | 20 | 37 |
| 2019 May | 20 | 17 | 37 |
| 2019 April | 52 | 24 | 76 |
| 2019 March | 18 | 19 | 37 |
| 2019 February | 12 | 15 | 27 |
| 2019 January | 22 | 12 | 34 |
| 2018 December | 105 | 27 | 132 |
| 2018 November | 169 | 15 | 184 |
| 2018 October | 130 | 11 | 141 |
| 2018 September | 89 | 13 | 102 |
| 2018 August | 38 | 16 | 54 |
| 2018 July | 40 | 14 | 54 |
| 2018 June | 36 | 15 | 51 |
| 2018 May | 37 | 9 | 46 |
| 2018 April | 32 | 6 | 38 |
| 2018 March | 40 | 8 | 48 |
| 2018 February | 18 | 3 | 21 |
| 2018 January | 27 | 12 | 39 |
| 2017 December | 34 | 10 | 44 |
| 2017 November | 36 | 6 | 42 |
| 2017 October | 35 | 10 | 45 |
| 2017 September | 35 | 12 | 47 |
| 2017 August | 40 | 9 | 49 |
| 2017 July | 30 | 6 | 36 |
| 2017 June | 36 | 20 | 56 |
| 2017 May | 38 | 9 | 47 |
| 2017 April | 23 | 6 | 29 |
| 2017 March | 16 | 20 | 36 |
| 2017 February | 10 | 6 | 16 |
| 2017 January | 19 | 6 | 25 |
| 2016 December | 55 | 10 | 65 |
| 2016 November | 67 | 3 | 70 |
| 2016 October | 81 | 11 | 92 |
| 2016 September | 104 | 8 | 112 |
| 2016 August | 148 | 5 | 153 |
| 2016 July | 156 | 5 | 161 |
| 2016 June | 126 | 0 | 126 |
| 2016 May | 137 | 0 | 137 |
| 2016 April | 106 | 0 | 106 |
| 2016 March | 101 | 0 | 101 |
| 2016 February | 113 | 0 | 113 |
| 2016 January | 113 | 0 | 113 |
| 2015 December | 138 | 0 | 138 |
| 2015 November | 79 | 0 | 79 |
| 2015 October | 82 | 0 | 82 |
| 2015 September | 68 | 0 | 68 |
| 2015 August | 81 | 0 | 81 |
| 2015 July | 57 | 0 | 57 |
| 2015 June | 32 | 0 | 32 |
| 2015 May | 54 | 0 | 54 |
| 2015 April | 8 | 0 | 8 |
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