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The activity of a Spanish bone densitometry unit revisited under the point of view of FRAX
La actividad de una unidad de densitometría ósea española desde el punto de vista de FRAX
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"apellidos" => "Nolla" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Rheumatology Service, IDIBELL-Hospital Universitari de Bellvitge, L’Hospitalet, Barcelona, Spain" "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Rheumatology Unit, Hospital Moisés Broggi, Sant Joan Despí, Barcelona, Spain" "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "La actividad de una unidad de densitometría ósea española desde el punto de vista de FRAX" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 3576 "Ancho" => 1535 "Tamanyo" => 221526 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Distribution of the absolute risk of fracture by intervals of BMD (<span class="elsevierStyleItalic">T</span>-score) with or without inclusion of BMD in the algorithm. (a) Major risk of fracture. (b) Hip fracture.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">Osteoporosis is highly prevalent and has several important medical, social and economical consequences related to its clinical manifestation, the fracture.</p><p id="par0010" class="elsevierStylePara elsevierViewall">Many attempts to identify those people with a high risk of fracture to who apply primary or secondary prevention have been made. With the development of bone densitometry, scales to select people with low bone mass were proposed because of the close relation of bone mineral density (BMD) with the risk of fracture. Later, the epidemiological studies identified clinical risk factors that associate to an increase in the risk of fracture, independently of BMD.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> With these clinical risk factors, some indexes to identify the patients with a higher risk and, in consequence, aimed to make intervention have been proposed<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2–7</span></a> in a similar way as we calculate cardiovascular risk.<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Since March 2008, a new scale to calculate the absolute risk of fracture in the next 10 years, FRAX, has become available online.<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> As relevant clinical risk factors, this tool includes age, sex, body mass index, previous low impact fracture, parental hip fracture, current smoking and alcoholic intake, the use of systemic steroids, rheumatoid arthritis and other causes of secondary osteoporosis; the <span class="elsevierStyleItalic">T</span>-score of femoral neck calculated by DXA may be optionally included if it is available. With these parameters, an algorithm calculates the absolute risk in the next 10 years of having a major fracture (MFR) or a hip fracture (HFR). The relative weight of every of the clinical risk factors for the calculation of the fracture risk was extracted from several epidemiological studies and the risk of having a major fracture, from the data of Malmö in Sweden; finally, the data were adapted to the fracture incidence and mortality in every country and the results were validated in independent cohorts.<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Previously, we have evaluated the activity of our Bone Densitometry Unit in different clinical situations and from different points of view.<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11–14</span></a> The relevance that FRAX has acquired in the field of osteoporosis has led us to analyze the results of the bone scannings we make in our unit in real clinical practice in relation to the risk of fracture calculated by FRAX and its determinants.</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Methods</span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Study setting</span><p id="par0025" class="elsevierStylePara elsevierViewall">The study has been developed in the Densitometry Unit of a university tertiary hospital in an urban area in North-Eastern Spain.</p><p id="par0030" class="elsevierStylePara elsevierViewall">The unit began to work in 1992. Since 2004, following the acquisition of a densitometer Hologic QDR 4500, we make more than 10,000 scannings every year. The patients are submitted to the unit by physicians from Primary Care and from the hospital and programmed in different agendas depending on their origin. Primary care physicians include the specialized physicians, mainly rheumatologists, orthopedics surgeons and gynecologists who depend contractually on the hospital and visit some days in a week to the primary care centers in the surrounding area.</p><p id="par0035" class="elsevierStylePara elsevierViewall">We make all the scannings indicated by the physicians without any filter.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Study design</span><p id="par0040" class="elsevierStylePara elsevierViewall">From May to October 2008 the patients submitted from Primary Care to the Densitometry Unit for scanning were asked to fulfill an auto-administered questionnaire containing questions about the fracture risk factors included in FRAX. Primary Care physicians sent their patients for scanning independently of the risk of fracture calculated by FRAX.</p><p id="par0045" class="elsevierStylePara elsevierViewall">As we included only the patients listed in the afternoon agendas, they were assisted in completing the questionnaire, when necessary, by the same technician. With the data in the questionnaire, we calculated MFR and HFR. Both risks were calculated with (+) or without (−) the inclusion in the algorithm of BMD. So, we obtained four risk calculations: MFR+, MFR−, HFR+ and HFR−.</p><p id="par0050" class="elsevierStylePara elsevierViewall">All the patients had a densitometry of lumbar spine and proximal femur. The database of reference for the calculation of <span class="elsevierStyleItalic">T</span>- and <span class="elsevierStyleItalic">Z</span>-score was the one from the NHANES III study for femoral neck and total hip<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> and the one from the Study of the Spanish Population for total spine.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> Patients were assigned to the normal, osteopenia or osteoporosis categories following the International Society for Clinical Densitometry recommendations.</p><p id="par0055" class="elsevierStylePara elsevierViewall">We included 881 patients. Ninety-seven percent of them were women and we decided not to analyze the 28 men; there were 853 women left.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Statistical study</span><p id="par0060" class="elsevierStylePara elsevierViewall">All the data were gathered in a database Access 2003. The statistical study was made with the SPSS program for Windows version 15.0.</p><p id="par0065" class="elsevierStylePara elsevierViewall">The descriptive analysis is presented as absolute number of cases (percentage) or as mean (standard deviation; interval of confidence of 95%).</p><p id="par0070" class="elsevierStylePara elsevierViewall">The differences between qualitative variables were analyzed by means of the <span class="elsevierStyleItalic">χ</span><span class="elsevierStyleSup">2</span>-squared test. For the study of the differences between groups of patients, we applied analysis of the variance in case of parametric variables and Mann–Whitney or Kruskal–Wallis tests (according to the number of groups) in the case of nonparametric variables.</p><p id="par0075" class="elsevierStylePara elsevierViewall">The limit of statistical significance was located in an <span class="elsevierStyleItalic">α</span> error of 0.05. The calculated statistical power for the differences in MFR+ and MFR− was 97.5%.</p></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Results</span><p id="par0080" class="elsevierStylePara elsevierViewall">We analyzed the data from 853 women with a mean age of 62 (9) years and a mean body mass index of 27.0 (4.2)<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>. In <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>, we present the demographic and clinical parameters included in FRAX as fracture risk factors of these patients.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">Twenty percent of the patients had a normal bone mineral density, 55% had osteopenia and 25%, osteoporosis.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Yet excluding age and body mass index, the number of fracture risk factors seems low among the patients included in the study. Twenty-six percent of the patients had no risk of fracture; 35%, one; 30%, two; 6%, three; and 3% had four or five risks of fracture. The high prevalence of secondary osteoporosis (36%) is explained almost entirely by the item “menopause before 45 years”, probably the reason for BMD scanning.</p><p id="par0095" class="elsevierStylePara elsevierViewall">Mean MFR+ was 5.4 (4.8)%. The histogram of the distribution of MFR+ presented in <a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a> shows an accumulation of the patients in very low levels of risk of fracture. Mean MFR− was 6.3 (5.5)%; mean HFR+, 1.5 (2.9)%; and HFR−, 2.1 (3.3)%.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">When BMD was included in the algorithm for the calculation of the risk of fracture, the risk was statistically lower (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) as shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a>, especially in patients with better BMD. As a rule, the inclusion of BMD in the algorithm worsens risk fracture in patients with <span class="elsevierStyleItalic">T</span>-score below −2.</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">If we exclude from the analysis the patients who are already in treatment for osteoporosis (210 patients treated, 641 patients untreated), MFR+ becomes even lower: 5.0 (4.6)%. Patients without treatment are younger (61 (9) years versus 64 (8) years) and their frequency of osteoporosis, lower (21% versus 37%), in a statistically significant way.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Discussion</span><p id="par0110" class="elsevierStylePara elsevierViewall">The generalised use of DXA is limited because it is expensive and time consuming; it is not portable, and it is available only in specialised clinics. The best strategy to avoid waiting lists in Bone Densitometry Units has been the selection of patients at high risk of osteoporosis.</p><p id="par0115" class="elsevierStylePara elsevierViewall">Now, the concept has changed. The target is not the osteoporotic patient but the patient at high risk of fracture. Formerly, for instance, a prior fragility fracture was a classic indication for BMD testing from the point of view of screening for osteoporosis. However, it is not a novelty that, for most clinicians, the diagnosis of a low trauma fracture is an indisputable reason to initiate specific treatment for osteoporosis without a measurement of BMD.</p><p id="par0120" class="elsevierStylePara elsevierViewall">Since FRAX has become available, some uncertainty raises about the necessity of determining BMD in many patients: not only an opportunity but also a challenge has emerged. The real change lies in the acceptation that, not only hard clinical risk factors such as fragility fractures or glucocorticoid intake, but also the combination of several minor risk factors may achieve a level of risk of fracture enough to initiate a fracture prevention treatment without knowing BMD. At the other end of things, many physicians accept that fracture prevention treatments may be not indicated in patients with osteoporosis but low risk of fracture and, then, it would be unnecessary to know their BMD.</p><p id="par0125" class="elsevierStylePara elsevierViewall">In a previous study, we have estimated the fracture risk by FRAX in patients in which the decision to treat or not had been taken along with previous recommendations in real clinical practice and knowing BMD: such as expected or desired, treated patients had more risk factors and their fracture risk was higher. Nevertheless, there was a significant, and probably excessive, overlap between the fracture risks of the two groups.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a></p><p id="par0130" class="elsevierStylePara elsevierViewall">Therefore, it seems relevant to define the strategy for the selection of the target population who should undergo BMD testing, avoiding high risk patients, who will be treated without knowing BMD, and low risk patients, who will not be treated independently of their BMD. In fact, we are looking for the patients with a moderate risk of fracture in which BMD may help to make a therapeutic decision. The problem is that, in most countries, it has not been defined what is low, moderate or high risk.</p><p id="par0135" class="elsevierStylePara elsevierViewall">The first step, the one we have intended to address in this study, is to analyze the activity we make in our unit in real clinical practice in relation to the risk of fracture calculated by FRAX. Two main conclusions can be drawn from our results: one, the risk of fracture of the patients sent to our densitometry unit for bone BMD testing is low (71% of the patient had none or one risks or fracture); and two, the introduction of BMD in the algorithm for the calculation of the risk results in a decrease of the risk, except in the patients with BMD below −2 standard deviations of the <span class="elsevierStyleItalic">T</span>-score. These patients with moderate risk and lower BMD are the ones who most benefit from BMD testing but, in our series, there are few of them. It is clear that we need to search a strategy to improve the quality of the referrals to our unit or, in other words, to increase the risk fracture of the patients referred.</p><p id="par0140" class="elsevierStylePara elsevierViewall">The FRIDEX study group, not far geographically from us, has calculated that the use of NOGG thresholds<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> applied to FRAX would reduce about to 50% the current number of referrals for BMD testing, thus allowing to focus the activity of bone densitometry units in the patients with moderate fracture risk.<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> However, the application of these thresholds, calculated for the United Kingdom, to the Spanish population is not advisable as our risk of fracture is somewhat lower: the United States has been classified as a very high risk country and Spain, a medium risk country. As an example, women aged 70 with a previous fragility fracture have a MFR of 21%, close to the 20% NOGG threshold, if calculated by FRAX for US Caucasian population. The same women have a MFR of 10% when the risk is calculated by FRAX for the Spanish population. The threshold of high risk for us might be perfectly located, then, at 10%; accordingly, an estimate of the threshold for moderate risk could be 5%.</p><p id="par0145" class="elsevierStylePara elsevierViewall">Agreement between risk of fracture with and without the inclusion of BMD in the FRAX algorithm has been analyzed in 180 white women from Tennessee, USA<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a>; it achieved 89.4%. Disagreement occurred in 2 distinct subgroups of patients (10.6% of cases): one comprised older patients with normal <span class="elsevierStyleItalic">T</span>-scores for whom FRAX-scores exceeded the NOF treatment threshold; the other, younger patients with high BMI and low <span class="elsevierStyleItalic">T</span>-scores for whom FRAX-scores did not exceed the threshold. In accordance with the above approach, the latter should not be treated independently of their BMD and, so, BMD testing was not necessary. The first subgroup gives more to think as treatment could be initiated directly without knowing BMD but, in fact, when BMD testing is made, the treatment can be avoided. In our series, 16 out of 29 patients with RFM above 20% (2% of the whole series) and 72 out of 153 above 10% (8%), fall below every threshold when BMD is known and RFM recalculated.</p><p id="par0150" class="elsevierStylePara elsevierViewall">As a limitation, a selection bias exists because the patients were recruited from a Bone Densitometry Unit and not from the general population. Although this is a low risk fracture population, we estimate that the frequency of risk factors of fracture and the prevalence of osteoporosis are higher in the general population of the same age.</p><p id="par0155" class="elsevierStylePara elsevierViewall">Two strategies would be good to clarify the raised issues in future studies: the selection of patients with moderate risk of fracture assessed by FRAX or the inclusion of a large number of subjects from general population. The former seems more operational to analyze the actual value of knowing BMD in these patients since the practice of a bone densitometry is probably not necessary in low and high risk fracture patients. We need more data that allow us to select properly the patients who benefit most from the practice of a BMD testing.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Responsabilidades éticas</span><p id="par0165" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Protección de personas y animales.</span> Los autores declaran que para esta investigación no se han realizado experimentos en seres humanos ni en animales.</p><p id="par0170" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Confidencialidad de los datos.</span> Los autores declaran que han seguido los protocolos de su centro de trabajo sobre la publicación de datos de pacientes y que todos los pacientes incluidos en el estudio han recibido información suficiente y han dado su consentimiento informado por escrito para participar en dicho estudio.</p><p id="par0175" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Derecho a la privacidad y consentimiento informado.</span> Los autores han obtenido el consentimiento informado de los pacientes y/o sujetos referidos en el artículo. Este documento obra en poder del autor de correspondencia.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conflict of interest</span><p id="par0160" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:10 [ 0 => array:2 [ "identificador" => "xres125846" "titulo" => array:5 [ 0 => "Abstract" 1 => "Objective" 2 => "Methods" 3 => "Results" 4 => "Conclusions" ] ] 1 => array:2 [ "identificador" => "xpalclavsec113141" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xres125845" "titulo" => array:5 [ 0 => "Resumen" 1 => "Objetivo" 2 => "Métodos" 3 => "Resultados" 4 => "Conclusiones" ] ] 3 => array:2 [ "identificador" => "xpalclavsec113140" "titulo" => "Palabras clave" ] 4 => array:3 [ "identificador" => "sec0005" "titulo" => "Methods" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0010" "titulo" => "Study setting" ] 1 => array:2 [ "identificador" => "sec0015" "titulo" => "Study design" ] 2 => array:2 [ "identificador" => "sec0020" "titulo" => "Statistical study" ] ] ] 5 => array:2 [ "identificador" => "sec0025" "titulo" => "Results" ] 6 => array:2 [ "identificador" => "sec0030" "titulo" => "Discussion" ] 7 => array:2 [ "identificador" => "sec0040" "titulo" => "Responsabilidades éticas" ] 8 => array:2 [ "identificador" => "sec0035" "titulo" => "Conflict of interest" ] 9 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2011-10-19" "fechaAceptado" => "2012-02-01" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec113141" "palabras" => array:4 [ 0 => "Fracture risk" 1 => "FRAX" 2 => "Bone densitometry" 3 => "Osteoporosis" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec113140" "palabras" => array:4 [ 0 => "Riesgo de fractura" 1 => "FRAX" 2 => "Densitometría ósea" 3 => "Osteoporosis" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">In March 2008, FRAX, developed by Kanis and collaborators in the University of Sheffield and supported by the World Health Organization, became available online to calculate absolute risk of osteoporotic fracture in the next 10 years.</p> <span class="elsevierStyleSectionTitle">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To analyze the risk of fracture calculated by FRAX and its determinants in the patients sent to a densitometry unit for bone mineral density (BMD) testing.</p> <span class="elsevierStyleSectionTitle">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">All the patients submitted by Primary Care to the Densitometry Unit for BMD testing underwent a self administered questionnaire to assess the clinical risk factors included in FRAX and a bone densitometry of lumbar spine and proximal femur with a DXA densitometer Hologic QDR 4500. They were classified as having a normal BMD, osteopenia or osteoporosis along with the recommendations of the International Society for Clinical Densitometry. As the reference population to calculate the <span class="elsevierStyleItalic">T</span> and <span class="elsevierStyleItalic">Z</span> scores, we used the one from the NHANES III study for femoral neck and total hip and the one from the Study of the Spanish Population for total spine. With the data of the questionnaire, we calculated, by FRAX, the absolute risk in the next ten years of having a major fracture (MFR) or a hip fracture (HFR). Both risks were calculated with or without the inclusion in the algorithm of BMD: MFR+, MFR−, HFR+ and HFR−. The results were recorded in an Access 2003 database and analyzed with the statistical package SPSS 15.0 for Windows.</p> <span class="elsevierStyleSectionTitle">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">We analyzed the data from 853 women with a mean age of 61.9 (8.9) years and a mean body mass index of 27.0 (4.2)<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>. Mean BMD at lumbar spine was 0.873 (0.127)<span class="elsevierStyleHsp" style=""></span>g/cm<span class="elsevierStyleSup">2</span>; at femoral neck, 0.704 (0.105)<span class="elsevierStyleHsp" style=""></span>g/cm<span class="elsevierStyleSup">2</span>; and at total hip, 0.817 (0.107)<span class="elsevierStyleHsp" style=""></span>g/cm<span class="elsevierStyleSup">2</span>. Twenty percent of the patients had a normal BMD, 55% had osteopenia and 25%, osteoporosis. Yet excluding age and body mass index, the number of fracture risk factors seems low: 31% of the patients had no risk of fracture; 40%, had one; 22%, two; 6%, three; 1%, four; and one patient had five. Mean MFR+ was 5.4 (4.8)%; mean MFR−, 6.3 (5.5)%; mean HFR+, 1.5 (2.9)%; and HFR−, 2.1 (3.3)%.</p><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">When BMD was included in the algorithm for the calculation of the risk of fracture, the risk was statistically lower (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001), especially in patients with better BMD.</p> <span class="elsevierStyleSectionTitle">Conclusions</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">The risk of fracture calculated by FRAX in the patients sent to a densitometry unit for bone BMD testing seems low and, probably, a better selection of the patients would detect a higher risk of fracture population. When the fracture risk is calculated with the introduction of BMD in the algorithm, it is lower than without including BMD.</p>" ] "es" => array:2 [ "titulo" => "Resumen" "resumen" => "<span class="elsevierStyleSectionTitle">Objetivo</span><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Analizar el riesgo de fractura calculado por FRAX y sus determinantes en los pacientes remitidos a una unidad de densitometría ósea para evaluación de la densidad mineral ósea (DMO).</p> <span class="elsevierStyleSectionTitle">Métodos</span><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Los pacientes remitidos desde Atención Primaria a la Unidad de Densitometría para evaluación de la DMO rellenaron un cuestionario autoadministrado acerca de los factores de riesgo clínicos incluidos en el FRAX; se les realizó una densitometría ósea. Con los datos del cuestionario, se analizó el riesgo absoluto de presentar una fractura mayor (MFR) y de cadera (HFR). Ambos riesgos se calcularon con o sin la inclusión de la DMO en el algoritmo: MFR+, MFR-, HFR+ y HFR-.</p> <span class="elsevierStyleSectionTitle">Resultados</span><p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Se analizaron los datos de 853 mujeres con una edad media de 61,9 (8,9) años y un índice de masa corporal medio de 27,0 (4,2) kg/m<span class="elsevierStyleSup">2</span>. El 20% de las pacientes tenía una DMO normal, el 55% tenía osteopenia y el 25%, osteoporosis. Excluyendo la edad y el índice de masa corporal, el número de factores de riesgo de fractura fue bajo. El MFR+ medio fue de 5,4 (4,8)%; el MFR- de 6,3 (5,5)%; el HFR+, de 1,5 (2,9)%; y el HFR- de 2,1 (3,3)%. Cuando se incluyeron los valores densitométricos en el algoritmo de cálculo del riesgo de fractura, éste fue significativamente menor (p < 0,001), especialmente en pacientes con mejor DMO.</p> <span class="elsevierStyleSectionTitle">Conclusiones</span><p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">En nuestro medio, el riesgo de fractura calculado por FRAX en las pacientes remitidas a la unidad de densitometría para evaluación de la DMO es bajo. El riesgo de fractura es inferior cuando se introduce la DMO en el algoritmo de cálculo.</p>" ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara">Please, cite this article as: Gómez-Vaquero C, et al. The activity of a Spanish bone densitometry unit revisited under the point of view of FRAX. Reumatol Clin. 2012;8:179-83.</p>" ] ] "multimedia" => array:3 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1507 "Ancho" => 1542 "Tamanyo" => 86963 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Major risk of fracture distribution calculated by FRAX including BMD in the algorithm.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 3576 "Ancho" => 1535 "Tamanyo" => 221526 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Distribution of the absolute risk of fracture by intervals of BMD (<span class="elsevierStyleItalic">T</span>-score) with or without inclusion of BMD in the algorithm. (a) Major risk of fracture. (b) Hip fracture.</p>" ] ] 2 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Age</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>9 years \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Weight</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">65.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.8<span class="elsevierStyleHsp" style=""></span>kg \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Height</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.56<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.06<span class="elsevierStyleHsp" style=""></span>m \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Body mass index</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.0<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>4.2<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Previous fracture</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">222 (26%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Parent fractured hip</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">121 (14%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Current smoking</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">94 (11%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Glucocorticoids</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">84 (10%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Rheumatoid arthritis</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82 (10%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Secondary osteoporosis</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">306 (36%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Alcohol 3 or more units per day</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (1%) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleBold">Bone mineral density</span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Total lumbar spine</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.874<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.127<span class="elsevierStyleHsp" style=""></span>g/cm<span class="elsevierStyleSup">2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">T</span>-score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−1.50<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.20 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Femoral neck</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.704<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.105<span class="elsevierStyleHsp" style=""></span>g/cm<span class="elsevierStyleSup">2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">T</span>-score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−1.25<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.96 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Total hip</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.817<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>0.107<span class="elsevierStyleHsp" style=""></span>g/cm<span class="elsevierStyleSup">2</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">T</span>-score \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">−1.05<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.10 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab212337.png" ] ] ] ] "descripcion" 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| Year/Month | Html | Total | |
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| 2024 November | 12 | 16 | 28 |
| 2024 October | 28 | 29 | 57 |
| 2024 September | 43 | 25 | 68 |
| 2024 August | 58 | 38 | 96 |
| 2024 July | 37 | 28 | 65 |
| 2024 June | 43 | 36 | 79 |
| 2024 May | 39 | 25 | 64 |
| 2024 April | 36 | 30 | 66 |
| 2024 March | 49 | 33 | 82 |
| 2024 February | 30 | 32 | 62 |
| 2024 January | 25 | 19 | 44 |
| 2023 December | 34 | 25 | 59 |
| 2023 November | 35 | 32 | 67 |
| 2023 October | 47 | 29 | 76 |
| 2023 September | 99 | 46 | 145 |
| 2023 August | 25 | 24 | 49 |
| 2023 July | 33 | 26 | 59 |
| 2023 June | 26 | 30 | 56 |
| 2023 May | 34 | 25 | 59 |
| 2023 April | 35 | 13 | 48 |
| 2023 March | 60 | 24 | 84 |
| 2023 February | 40 | 38 | 78 |
| 2023 January | 26 | 25 | 51 |
| 2022 December | 53 | 36 | 89 |
| 2022 November | 69 | 30 | 99 |
| 2022 October | 43 | 46 | 89 |
| 2022 September | 42 | 47 | 89 |
| 2022 August | 38 | 36 | 74 |
| 2022 July | 34 | 48 | 82 |
| 2022 June | 36 | 25 | 61 |
| 2022 May | 37 | 38 | 75 |
| 2022 April | 31 | 48 | 79 |
| 2022 March | 40 | 50 | 90 |
| 2022 February | 42 | 44 | 86 |
| 2022 January | 45 | 44 | 89 |
| 2021 December | 37 | 42 | 79 |
| 2021 November | 25 | 43 | 68 |
| 2021 October | 38 | 65 | 103 |
| 2021 September | 33 | 53 | 86 |
| 2021 August | 22 | 53 | 75 |
| 2021 July | 20 | 33 | 53 |
| 2021 June | 32 | 57 | 89 |
| 2021 May | 28 | 55 | 83 |
| 2021 April | 61 | 81 | 142 |
| 2021 March | 40 | 35 | 75 |
| 2021 February | 32 | 28 | 60 |
| 2021 January | 26 | 23 | 49 |
| 2020 December | 28 | 33 | 61 |
| 2020 November | 22 | 19 | 41 |
| 2020 October | 21 | 21 | 42 |
| 2020 September | 27 | 36 | 63 |
| 2020 August | 22 | 23 | 45 |
| 2020 July | 24 | 29 | 53 |
| 2020 June | 48 | 29 | 77 |
| 2020 May | 53 | 36 | 89 |
| 2020 April | 30 | 23 | 53 |
| 2020 March | 13 | 6 | 19 |
| 2019 November | 1 | 2 | 3 |
| 2019 April | 2 | 0 | 2 |
| 2019 January | 3 | 2 | 5 |
| 2018 May | 6 | 1 | 7 |
| 2018 April | 64 | 7 | 71 |
| 2018 March | 65 | 7 | 72 |
| 2018 February | 87 | 4 | 91 |
| 2018 January | 16 | 5 | 21 |
| 2017 December | 77 | 5 | 82 |
| 2017 November | 26 | 6 | 32 |
| 2017 October | 16 | 6 | 22 |
| 2017 September | 28 | 9 | 37 |
| 2017 August | 31 | 13 | 44 |
| 2017 July | 32 | 6 | 38 |
| 2017 June | 51 | 8 | 59 |
| 2017 May | 42 | 10 | 52 |
| 2017 April | 24 | 7 | 31 |
| 2017 March | 23 | 11 | 34 |
| 2017 February | 17 | 4 | 21 |
| 2017 January | 16 | 6 | 22 |
| 2016 December | 44 | 14 | 58 |
| 2016 November | 28 | 6 | 34 |
| 2016 October | 52 | 16 | 68 |
| 2016 September | 46 | 2 | 48 |
| 2016 August | 40 | 7 | 47 |
| 2016 July | 29 | 5 | 34 |
| 2016 April | 1 | 0 | 1 |
| 2016 February | 1 | 0 | 1 |
| 2015 December | 2 | 0 | 2 |
| 2015 November | 1 | 0 | 1 |
| 2015 September | 2 | 0 | 2 |
| 2015 August | 1 | 0 | 1 |
| 2015 July | 15 | 0 | 15 |
| 2015 June | 24 | 2 | 26 |
| 2015 May | 65 | 11 | 76 |
| 2015 April | 32 | 8 | 40 |
| 2015 March | 40 | 5 | 45 |
| 2015 February | 24 | 10 | 34 |
| 2015 January | 35 | 6 | 41 |
| 2014 December | 41 | 14 | 55 |
| 2014 November | 17 | 9 | 26 |
| 2014 October | 27 | 7 | 34 |
| 2014 September | 25 | 8 | 33 |
| 2014 August | 20 | 9 | 29 |
| 2014 July | 24 | 15 | 39 |
| 2014 June | 42 | 8 | 50 |
| 2014 May | 37 | 10 | 47 |
| 2014 April | 42 | 6 | 48 |
| 2014 March | 27 | 13 | 40 |
| 2014 February | 30 | 11 | 41 |
| 2014 January | 30 | 11 | 41 |
| 2013 December | 24 | 13 | 37 |
| 2013 November | 20 | 11 | 31 |
| 2013 October | 41 | 14 | 55 |
| 2013 September | 27 | 8 | 35 |
| 2013 August | 32 | 9 | 41 |
| 2013 July | 25 | 10 | 35 |
| 2013 June | 36 | 7 | 43 |
| 2013 May | 36 | 13 | 49 |
| 2013 April | 40 | 12 | 52 |
| 2013 March | 42 | 17 | 59 |
| 2013 February | 26 | 7 | 33 |
| 2013 January | 33 | 8 | 41 |
| 2012 December | 26 | 10 | 36 |
| 2012 November | 37 | 20 | 57 |
| 2012 October | 19 | 11 | 30 |
| 2012 September | 12 | 8 | 20 |
Show all
