- Research article
- Open Access
- Open Peer Review
Trends in incidence and outcomes of revision total hip arthroplasty in Spain: A population based study
BMC Musculoskeletal Disordersvolume 13, Article number: 37 (2012)
To analyze changes in incidence and outcomes of patients undergoing revision total hip arthroplasty (RTHA) over an 8-year study period in Spain.
We selected all surgical admissions in individuals aged ≥ 40 years who underwent RTHA (ICD-9-CM procedure code 81.53) between 2001 and 2008 from the Spanish National Hospital Discharge Database. Age- and sex-specific incidence rates, Charlson co-morbidity index, length of stay (LOS), costs and in-hospital mortality (IHM) were estimated for each year. Multivariate analyses were conducted to asses time trends.
32, 280 discharges of patients (13, 391 men/18, 889 women) having undergone RTHA were identified. Overall crude incidence showed a small but significant increase from 20.2 to 21.8 RTHA per 100, 000 inhabitants from 2001 to 2008 (p < 0.01).
The incidence increased for men (17.7 to 19.8 in 2008) but did not vary for women (22.3 in 2001 and 22.2 in 2008). Greater increments were observed in patients older than 84 years and in the age group 75-84. In 2001, 19% of RTHA patients had a Charlson Index ≥ 1 and this proportion rose to 24.6% in 2008 (p < 0.001). The ratio RTHA/THA remained stable and around 20% in Spain along the entire period
The crude overall in-hospital mortality (IHM) increased from 1.16% in 2001 to 1.77% (p = 0.025) in 2008. For both sexes the risk of death was higher with age, with the highest mortality rates found among those aged 85 or over. After multivariate analysis no change was observed in IHM over time. The mean inflation adjusted cost per patient increased by 78.3%, from 9, 375 to 16, 715 Euros from 2001 to 2008.
After controlling for possible confounders using Poisson regression models, we observed that the incidence of RTHA hospitalizations significantly increased for men and women over the period 2001 to 2008 (IRR 1.10, 95% CI 1.03-1.18 and 1.08, 95% CI 1.02-1.14 respectively).
The crude incidence of RTHA in Spain showed a small but significant increase from 2001 to 2008 with concomitant reductions in LOS, significant increase in co-morbidities and cost per patient.
Although recent reports based on National Arthroplasty Registries show that the overall 10-year survival of total hip arthroplasty (THA) is over 90%, the burden of Revision Total Hip Arthroplasty (RTHA) is growing in developed countries [1, 2]. Patients undergoing RTHA usually suffer from several co-morbidities, technical difficulties and complications requiring higher resource utilization than THA [3–5].
Surveys from several countries have reported a continued growth in the use of THA and RTHA over the last decades as a result of ageing populations, the extension of indications and of the age range for this treatment [3–5].
Comparisons of primary and revision rates and outcomes between countries may provide information that would help for understanding the differences as well as aid for planning the provision of healthcare services .
Unfortunately Spain does not have a national arthroplasty registry. In the absence of such a registry, the discharge databases can provide a large alternative information source to describe and analyze the trends and characteristics of THA and RTHA at a national level [11, 12].
The aim of this study was to analyze national representative data, collected through the Spanish Hospital Discharge Database  from 2001 to 2008 to elucidate changes in incidence; demographic characteristics; co-morbidity profiles; LOS; costs; and, in-hospital mortality (IHM) of patients undergoing RTHA.
According to the Spanish Health System Organization, each physician must declare at the time of discharge all diagnoses and procedures performed for each hospitalization using the code of the International Classification of Disease, 9th revision (ICD-9CM). This information is collected by the Spanish National Hospital Database, namely "Conjunto Mínimo Básico de Datos" (CMBD), which compiles all the public and private hospital data and covers more than 95% of hospital discharges . The CMBD database includes patients' variables (sex, date of birth), date of admittance, date of discharge, discharge destination (home, deceased or other health/social institution), up to 14 discharge diagnosis and up to 20 procedures performed during the admission. Social or health institutions include nursing homes and long-term care medical centers.
In Spain since 1999 the National Statistics Institute has used the ICD-10 to codify the underlying cause of death. But the CMBD has not been changed to the 10th revision and the ICD-9 cm is still being used [13, 14].
We included all surgical admissions (elective or emergency admissions) in patients 40 years or over, who received a RTHA procedure (ICD-9-CM procedure code 81.53) during 2001-2008. We calculated the yearly age- and sex-specific incidence rates by dividing the number of RTHA cases per year per sex and age group by the corresponding population per group according to the National Institute of Statistics (INE), reported on December 31st each year . Incidence rates were expressed per 100.000 inhabitants. The proportion of patients that died during hospital admission (IHM), LOS, and costs was also estimated for each year studied using the number of RTHA as the denominator. Costs were calculated using Diagnosis-Related Groups (DRG) for the disease. DRG represents a medical-economic entity concerning a set of diseases requiring analogous management resources . All costs shown are adjusted for inflation over the same period in Spain according to the National Institute for Statistics . Spain has a universal public health system so every person legally residing in or visiting Spain receives all medical and surgical treatment free of charge. As in most European countries, the reimbursing system is based on the DRG.
Clinical characteristics included information in overall co-morbidity at the time of surgery, which was assessed by computing the Charlson comorbidity index (CCI) . The CCI is not a tool routinely used in all hospital patients, so we calculated the CCI for each patient based on coded data available at the discharge register. We divided patients into 3 categories: low index, which corresponded to patients with no previously recorded disease categories in the CCI; medium index, patients with one or two disease categories; and high index, patients with more than two disease categories. We used these three cutting points, even though it is not the classification suggested by literature, to make our results comparable to other reports from Spain and to a previous study on primary total hip arthroplasty using the same methods [5, 19].
We also analyzed if the total number of RTHA changed in relation to the number of Primary THA performed by calculating the ratio RTHA/THA per year and the time trend.
Quantitative variables were expressed as means, medians, range and inter-quartile range (IQR). Qualitative variables were expressed as frequencies and percentages. Comparisons were done using the chi-square test, Fisher's exact test, Student's t-test, Wilcoxon rank-sum test, ANOVA or Kruskal-Wallis test as appropriate. The multivariate analysis for time trends in the variables studied was conducted using Poisson, lineal and logistic regression models adjusted by age, sex and other co-variables when appropriate. Estimations were made using STATA program and statistical significance was set at α < 0·05 (two-tailed).
The cumulated and anonymised data were delivered by the Ministry of Health, the official institute holding the Spanish National Hospital Database. Thus, data protection was fully guaranteed. Given the anonymous and mandatory nature of the data, the requirement for informed consent was not necessary.
The Spanish population changed over the study period. According to the Spanish National Statistics Institute , in 2001 the population living in Spain was 41.12 million; by 2008 the population it had increased to 46.16 million. The proportion of immigrant population increased from 3.33% in 2001 to 11.42% in 2008. As a consequence of this mainly young immigrant population, the proportion of people aged 65 or over decreased from 17.2% to 16.54% in this period.
From 2001 to 2008, we identified a total of 32, 280 patient discharges (13, 391 men and 18, 889 women) that underwent a RTHA. Table 1 and Figure 1 displays the total numbers and the incidence of RTHA per 100, 000 inhabitants in each year and according to age group and gender.
The overall crude incidence increased from 20.2 RTHA to 21.1 RTHA per 100, 000 inhabitants from 2001 to 2008 (p < 0.001). The incidence of RTHA hospitalizations has increased during the eight year study period for men (17.8 in 2001 to 19.8 in 2008) and not changed for women (22.3 in 2001 and 22.2 in 2008).
Among men, incidence significantly increased for those aged 40-54, 75-84 and ≥ 85 years. Among women, an increase was found among those aged 75-84 and over 84 years, and a decrease was found in the 65-74 years category. The highest incidence for both sexes was found in the 75-84 years category, followed by the 65-74 years category and the 85 or older category. However, the greater increments were observed in the sub-groups of patients older than 84 years and the sub-group 75-84 years.
Table 1 also shows the total number of RTHA and THA and the ratio RTHA/THA per year. As we can see, the percentages remained stable and around 20% with no change overtime.
Time trends in the discharge destinations and CCI for RTHA and primary THA are summarized in Table 2. The results for primary THA are also shown.
The proportion of individuals with RTHA who were discharged to a social or health institution rose significantly from 4% in 2001 to 6.4% in 2008 (p < 0.001).
In 2001, 81% of RTHA patients had a Charlson Index of 0, 17.8% of 1-2, and in 1.2% it was greater than two. In 2008, the proportion of patients who underwent a RTHA and had a Charlson Index of 1-2 or > 2 increased to 22.1% and 2.5% respectively (p < 0.001). Figures for CCI were very similar for revision and primary THA, however, there were more RTHA than primary THA patients discharged to a Health/social institution.
The mean LOS for RTHA admissions was 20.6 days in 2001 and showed a small but significant decrease to 19.1 days in 2008 (p < 0.01). A decreasing time trend in the LOS was observed in both sexes, Table 3.
During the study period, total costs for RTHA increased from 34.8 million to 74.6 million euros, however, the average costs per RTHA increased by 78.3%, from 9, 375 to 16, 715 euros. Women had higher mean and total costs per RTHA than men trough all the years analyzed (Table 3).
IHM rate trends according to sex- and age-groups are shown in Table 4. The risk of death was higher with age for both sexes. The overall IHM rate per RTHA increased from 1.16% in 2001 to 1.77% (p = 0.025) in 2008 (1.4% in women and 0.8% in men in 2001 to 2.02% in women and 1.44% in men in 2008). The highest mortality rates were found among women and men aged 85 or over, nevertheless, there was a significant reduction in male mortality rates in this older group (7.7% in 2001 and 3.5% in 2008) as compared to women (7.8% in 2001 and 10.7% in 2008).
As can be seen in Table 5 after controlling for possible confounders (age, sex and CCI), using Poisson regression models, we observed that the incidence of RTHA hospitalizations has significantly increased from 2001 to 2008 for both men and women (IRR 1.10, 95% CI 1.03-1.18 and 1.08, 95% CI 1.02-1.14 respectively).
With regard to IHM, after adjusting the logistic regression model, controlling by age and CCI, men and women showed no significant changes in the risk of death after RTHA from 2001 to 2008.
For both sexes the risk of IHM was higher as age and CCI increased.
In this population based study involving in32, 280 cases, we found a small but significant increase in the incidence of RTHA from 2001 to 2008 in the Spanish population, from 20.2 to 21.1 procedures per 100, 000 inhabitants (p < 0.01). This represents a 3.75% overall increase, which is similar to other reports in developed countries .
In this period a total of 161, 791 discharges of patients having undergone primary total hip arthroplasty were identified and the overall crude incidence increased from 99 to 105 THA per 100, 000 inhabitants (p < 0.001) .
Kurtz and Mowat analyzed the National Hospital Discharge Survey (NHDS) of the USA, 1990 through 2002, to study the changes in the revision burden. The rate of RTHA increased by 3.7 procedures per 100, 000 persons over a 10 year period .
In the United States and Canada the revision burden, which refers to the percentage of revision hip replacements relative to the total number of primary and revision hip replacements, stayed roughly the same in the USA (14%-17% from 1993 to 2005) and in Canada (11%-13% from 2001 to 2006) , reflecting an increase in the absolute number of revisions as the number of primary procedures also increased.
This same trend is observed in some National Registries. In Norway the revisions constituted 12.3% of all the operations in 2003, 13.6% in 2007 and 14% in 2008 .
In 2009, the number of hip replacements reported to the Australian Registry increased by 1, 100 (3.4%) compared to 2008. Primary THA increased by 4.0% and RTHA by 1.1%. From 2003 to 2009 primary total hip replacement increased by 32.5% and revision hip replacement 9.3%. Remarkably, revision hip replacement as a proportion of all hip replacement procedures declined from 13.0% in 2003 to 11.2% in 2009 .
In Spain the ratio RTHA/THA has remained stable with figures around 20% from 2001 to 2008. The equivalent percentages for the Norwegian Arthroplasty Registry were 14.94% (922/6170) in 2001 and 16.37% (1114/6804) in 2008 .In Australia in 2004 the ratio was19.25% (3494/18153) decreasing to 16.63% (3677/22109) in 2008 
In our study the results of the Poisson regression analysis confirm that the increase in incidence of RTHA in men and also in women became greater after adjusting for potential confounders (age, sex and CCI). Although all groups increased in incidence those patients aged 75-84 or 65-74 experienced the highest (13.9 and 9.5 with 95% interval confidence of 13.3-14.5 and 9.1-9.9, respectively). Other studies using multivariate models have reached the same conclusions, verifying that the increase in incidence of RTHA is not only a consequence of population growth or ageing [3, 4, 22].
In a recent study Cram et al, in an observational cohort of 1, 453, 493 Medicare beneficiaries who underwent THA between 1991 and 2008 in the USA, observed that the mean age for patients increased from 74.1 to 75.1 years (P < 0.001). . In that same population and time period, among 348 596 subjects who underwent RTHA, the mean age also raised from 75.8 to 77.3 years (p < 0.001). .
In Spain, the number of high-risk surgical patients has increased over the last 8 years as shown by the analysis of the CCI. In 2001, 19% of patients had a Charlson Index of 1-2 or > 2. In 2008, the proportion of patients who had undergone a RTHA and had Charlson Index of 1-2 or > 2 had increased to 24.6% (p < 0.001). This same trend has been previously described in other studies and in the present series in the same period in THA [12, 19, 24].
A higher severity of illness store has been reported as predictive of a higher resource utilization for both primary and revision arthroplasty .
Our co-morbidity index figures for primary THA and RTHA are surprisingly similar. Cram et al  reported a significant mean increase in the number of comorbid illnesses per patient (from 1.0 to 2.0 for THA and 1.1 to 2.3 for RTHA) . The similar morbidity index observed in our patients undergoing primary and revision THA could be explained by survival (only healthier subjects survive long enough to need a revision) and selection (surgeons only conduct RTHA among those patients with low co-morbidities) bias. Further studies should be conducted to verify this.
LOS decreased from an average of 20.6 days in 2001 to 19.1 days in 2008 in Spain (p < 0.01), which is a small but relevant change.
In the same period, the LOS for THA significantly decreased from an average of 13 days in 2001 to 10.45 days in 2008 .
As also suggested by other authors, we hypothesize that the reasons for observing a decrease in the Spanish LOS overtime may include: the presence of a larger rate of specialized departments using more efficient means to rehabilitate and discharge patients and an increased rate of discharges to short and long-term care facilities [26–28]. After adjusting by age and sex, our rate of patients that were discharge to health or social institutions significantly rose from 4% to 6.4% from 2001 to 2008.
The total costs of RTHA in Spain during our study period increased by 114.4%, from 34.8 million Euros to 74.6 million Euros. After adjusting for inflation, the average costs per patient increased by 78.3%, from 9, 375 to 16, 715 Euros. The total costs of primary THA In Spain during this period increased by 75%, from 120.6 million Euros to 211.34 million Euros .
Stargardt studied the variations in the cost of THA between and within nine member states of the European Union (EU), including Spain. The main cost drivers were found to be implants (34% of total cost on average) and ward costs (20.9% of total cost on average) .
More complicated revisions, like those requiring bone grafting, exchange of both components or specific complications, like periprosthetic fractures or infections, require higher resource utilization than easier ones [25, 30–33]. Even if we don't have data detailing the reason for revision we believe that the use of specialised 'revision-implants' is in part responsible of the large increase in the average cost per patient overtime in Spain.
The overall IHM after RTHA in Spain ranged from 1.16% in 2001 to 1.77% (p: 0.025) in 2008 (1.40% in women and 0.80% in men in 2001 and 2.02% in women and 1.44% in men in 2008).
Zhan and Kaczmarek screened the hospital discharge abstracts National Hospital Discharge Survey (NHDS) of five states of the EU during the year 2003. Their reported IHM rate was 0.84% and their rate of readmission, for any cause, within thirty days was 8.48%. Advanced age and co-morbid diseases were associated with worse outcomes .
In RTHA, prognostic factors related to higher mortality rates or complications may not be as clearly stated as in THA. Older age and high CCI may be more consistent but others like complexity of the revision, infected RTHA, poor preoperative functional status or female sex also seem to be important. These prognostic factors should help to optimize indications for THA and to reduce the already staggering, yet growing, burden of RTHA in developed countries, compared to THA, with greater LOS and higher cost [11, 22, 30, 35–38].
To the best of our knowledge this is the first study in Spain regarding changes in the incidence, demographic characteristics, co-morbidity profiles, and in-hospital outcomes of patients undergoing RTHA. In the absence of a National Registry for Arthroplasty the incidence, IHM rates and cost estimation reported in this study provide the best available information. The main strength of the current study lies in a large sample size and standardized methodology maintained over the study period.
Nevertheless, the present study presents some limitations. First, a potential source of bias comes from relying on administrative registries as several discrepancies between administrative data and audited and validated clinical data have been suggested [39, 40].
In Spain the CNBD was implemented in 1996 by the Ministry of Health in liaison with all of the autonomous communities. From that time efforts were made to improve the quality of the information including: periodic publications; mandatory educational programs for the persons responsible for the codification in the hospitals and periodical external quality control audits. Previous Spanish studies have assessed the validity of CMBD data using medical records as a reference, reporting that the CMBD is reliable for diagnosis and for estimating adjusted mortality rates. [41, 42].
Second, even if administrative data generally agrees with patient chart data for recording of comorbidities, it has been found that comorbidities tend to be under-reported in administrative data [43–45].
This could explain the large healthy population found in our study, based on our CCI. With regard to the use of the Charlson index to measure comorbidities, Burgos E et al conducted an investigation to assess the predictive value of six functional status and/or surgical risk scoring systems, including the anesthesiologic risk assessment instrument (ASA) and the Charlson index, with regard to serious complications after hip fracture surgery in the elderly. They found that all the scoring system reached a sufficient predictive value with regard to serious post-operative complications. However the similarities and differences between the Charlson comorbidity index and other commonly use score such as the ASA classification are discussed by Weaver et al. These authors found that among patient undergoing joint arthroplasties the discrepancy between the comorbidity index and the ASA was striking .
Lastly, outcomes were limited to the variables coded. The lack of differentiation between types of RTHA procedures in the current ICD-9-CM procedure coding system limits the utility of these codes in evaluating differences in patient and procedure characteristics in large public data. Other confounding relevant variables such as surgeon, hospital volume, cause leading to revision or the percentage of one-stage and two-stage revisions could not be analyzed as these variables are not collected in the database This lack of information about different brands thus unable to pick-up specific implant-related failures, compared with the National Joint Registries [20, 21].
Therefore, outcomes such as LOS and discharge destination may have been influenced by other covariates different from postoperative complications. In such a scenario, only IHM or LOS can be used to draw direct conclusions on the complication rate in the current study.
As noted above, because we used anonymised data it is impossible to detect double registrations, readmissions and transfers using the CMBD. Furthermore, unfortunately, in Spain we have no estimation of the number of double registrations, readmissions and transfers among patients undergoing a hip arthroplasty so a correction factor including this information could not be used to adjust the data. This is relevant because previous studies conducted in other countries have shown that the number of readmissions and transfers may have changed over time and may differ with age and sex [48, 49].
We believe that, notwithstanding its limitations the CMBD is a valid instrument to conduct epidemiological studies and has previously been used for this purpose, including by other authors. [20, 50, 51].
Although DRG have been a useful patient classification system for hospital cost analysis, DRG present a series of limitations [52, 53]. Riley in a recent review concludes that because administrative data have been collected for other purposes it is therefore not necessarily in a format that is intelligible or convenient to researchers. Furthermore, coding of diagnoses and procedures are more closely related to billing requirements than to medical records.
In conclusion the present study indicates a small but significant increase in the crude and adjusted incidence of RTHA in Spain from 2001 to 2008 in line with results observed in other countries. We also found reductions in LOS with a significant increase in cost per patient. The health profile of the patient undergoing RTHA seems to be worsening in Spain. These results may reflect broadening of the indication criteria for these procedures in conjunction with the natural failures of THA implanted in the previous decades.
This time trend may be useful for planning future resources and to optimize indications and proper patient selection.
Charlson comorbidity index
length of hospital stay
Total hip arthroplasty
Revision Total hip arthroplasty.
Spanish National Hospital Database namely Conjunto Minimo Basico de Datos.
Kurtz S, Mowat F, Ong K, Chan N, Lau E, Halpern M: Prevalence of primary and revision total hip and knee arthroplasty in the United States from 1990 through 2002. J Bone Joint Surg Am. 2005, 87: 1487-1497. 10.2106/JBJS.D.02441.
Kurt SM, Ong KL, Schmier J, Zhao Ke, Mowat F, Lau E: Primary and Revision Arthroplasty Surgery Caseloads in the United States from 1990 to 2004. J Arthroplasty. 2009, 24: 195-203. 10.1016/j.arth.2007.11.015.
Mowat F, Ong K, Chan N, Lau E, Halpern M: Prevalence of primary and revision total hip and knee arthroplasty in the United States from 1990 through 2002. J Bone Joint Surg Am. 2005, 87: 1487-1497. 10.2106/JBJS.D.02441.
Kurtz S, Ong K, Lau E, Mowat F, Halpern M: Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone J Surg Am. 2007, 89: 780-785. 10.2106/JBJS.F.00222.
Allepuz A, Serra-Sutton V, Espallargues M, Salvador X, Pons JM: Hip and knee arthroplasties in Catalonia [Spain] from 1994 to 2005. Gac Sanit. 2008, 22: 534-540. 10.1016/S0213-9111(08)75351-2.
Tian W, DeJoing G, Brown M, Hsieh C, Zamfirov ZP, Horn SD: Looking upstream: Factors shaping the demand for postacute joint replacement rehabilitation. Arch Phys Med Rehabil. 2009, 90: 1260-1268. 10.1016/j.apmr.2008.10.035.
Räsänen P, Paavolainen P, Sintonen H, Koivisto AM, Blom M, Ryynänen OP, Roine RP: Effectiveness of hip or knee replacement surgery in terms of quality-adjusted life years and costs. Acta Orthop. 2007, 78: 108-115. 10.1080/17453670610013501.
Ethgen O, Bruyère O, Richy F, Dardennes C, Reginster JY: Health-related quality of life in total hip and total knee arthroplasty, A qualitative and systematic review of the literature. J Bone Joint Surg Am. 2004, 86: 963-974.
Jones CA, Beaupre LA, Johnston DW, Suarez-Almazor ME: Total joint arthroplasties: current concepts of patient outcomes after surgery. Rheum Dis Clin North Am. 2007, 33: 71-86. 10.1016/j.rdc.2006.12.008.
Lohmander LS, Engesaeter LB, Herberts P, Ingvarsson T, Lucht U, Puolakka TJ: Standardized incidence rates of total hip replacement for primary hip osteoarthritis in the 5 Nordic countries: similarities and differences. Acta Orthop. 2006, 77: 733-740. 10.1080/17453670610012917.
Cummins JS, Tomek IM, Kantor SR, Furnes O, Engesaeter LB, Finlayson SR: Cost-effectiveness of antibiotic-impregnated bone cement used in primary total hip arthroplasty. J Bone Joint Surg Am. 2009, 91: 634-641. 10.2106/JBJS.G.01029.
Tien WC, Kao HY, Tu YK, Chiu HC, Lee KT, Shi HY: A population-based study of prevalence and hospital charges in total hip and knee replacement. Int Orthop. 2009, 33: 949-954. 10.1007/s00264-008-0612-1.
Conjunto Mínimo Básico de Datos. Hospitales del INSALUD. Available at: [http://www.ingesa.msc.es/estadEstudios/documPublica/CMBD-2001.htm] Accessed 11 January 2012
Instituto de Información Sanitaria. Boletines de Codificación Clínica con la CIE - 9-MC. Madrid. Ministerio de Sanidad, Política Social e Igualdad; Disponibles en Centro de Publicaciones, Available: [http://www.mspsi.gob.es/estadEstudios/estadisticas/normalizacion/clasifEnferm/boletines/home.htm]. Accessed 11 January 2012
Instituto Nacional de Estadística (INE): Population estimates. Available at: [http://www.ine.es] Accessed on 9 April 2010
Instituto Nacional de la Salud, Ministerio de Sanidad y Consumo, CMBD Insalud: Análisis de los GRDs. Año. 2000, Available at: [http://www.ingesa.msc.es/estadEstudios/documPublica/cmbd2000.htm] Accessed on 9 April 2010
Inflation costs. National Institute for Statistics. http://www.ine.es/daco/daco42/daco421/lau.htm.] Accessed 9 January 2012
Deyo RA, Cherkin DC, Ciol MA: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992, 45: 613-619. 10.1016/0895-4356(92)90133-8.
Jimenez-García R, Villanueva-Martínez M, Fernandez-de-las-Penas C, Hernandez-Barrera V, Ríos-Luna A, Carrasco Garrido P, Jimenez-Garcia R: Trends in primary total hip arthroplasty in Spain from 2001 to 2008: Evaluating changes in demographics, comorbidity, incidence rates, length of stay, costs and mortality. BMC Musculoskelet Disord. 2011, 9: 12-43.
Norwegian Arthroplasty Register. Available at: [http://nrlweb.ihelse.net/eng/Annual_Report_2009.pdf] Accessed 10 January 2012
Australian National Joint Register. Available at: [http://earlsview.com/2011/08/07/australian-national-joint-registry-2010-summary-on-hip-replacements/] Accessed 10 January 2012
Liu SS, Della Valle AG, Besculides MC, Gaber LK, Memtsoudis SG: Trends in mortality, complications, and demographics for primary hip arthroplasty in the United States. Int Orthop. 2009, 33: 643-651. 10.1007/s00264-008-0549-4.
Cram P, Lu X, Kaboli P, Vaughan-Sarrazin M, Xueya C, Wolf B, Li Y: Clinical Characteristics and Outcomes of Medicare Patients Undergoing Total Hip Arthroplasty, 1991-2008. JAMA. 2011, 305: 1560-1567. 10.1001/jama.2011.478.
Kadono Y, Yasunaga H, Horiguchi H, Hashimoto H, Matsuda S, Tanaka S, Nakamura K: Statistics for orthopedic surgery 2006-2007: data from the Japanese diagnosis procedure combination database. J Orthop Sci. 2010, 15: 162-170. 10.1007/s00776-009-1448-2.
Bozic KJ, Katz P, Cisternas M, Ono L: Hospital resource utilization for primary and revision total hip arthroplasty. J Bone Joint Surg Am. 2005, 87: 570-576. 10.2106/JBJS.D.02121.
Doro C, Dimick J, Wainess R, Upchurch G, Urquhart A: Hospital volume and inpatient mortality outcomes of total hip arthroplasty in the United States. J Arthroplasty. 2006, 21: 10-16. 10.1016/j.arth.2006.05.009.
Yeung SM, Davis AM, Soric R: Factors influencing inpatient rehabilitation length of stay following revision hip replacements: a retrospective study. BMC Musculoskelet Disord. 2010, 11: 252-10.1186/1471-2474-11-252.
Husted H, Hansen HC, Holm EG, Bach-Dal EC, Rud K, Andersen KL, Kehlet H: What determines length of stay after total hip and knee arthroplasty? A nationwide study in Denmark. Arch Orthop Trauma Surg. 2010, 130: 263-268. 10.1007/s00402-009-0940-7.
Stargardt T: Health service costs in Europe: cost and reimbursement of primary hip replacement in nine countries. Health Econ. 2008, 17: S9-S20. 10.1002/hec.1328.
Vincent KR, Vincent HK, Lee LW, Weng J, Alfano AP: Outcomes after inpatient rehabilitation of primary and revision total hip arthroplasty. Arch Phys Med Rehabil. 2006, 87: 1026-1032. 10.1016/j.apmr.2006.04.015.
Klouche S, Sariali E, Mamoudy P: Total hip arthroplasty revision due to infection: a cost analysis approach. Orthop Traumatol Surg Res. 2010, 96: 124-132. 10.1016/j.otsr.2009.11.004.
Barrack RL, Sawhney J, Hsu J, Cofield RH: Cost analysis of revision THA. A 5 year follow-up study. Clin Orthop Relat Res. 1999, 369: 175-178.
Bozic KJ, Durbhakula S, Berry DJ, Naessens JM, Rappaport OK, Cisternas M, Saleh KJ, Rubash HE: Differences in Patient and Procedure Characteristics and Hospital Resource Use in Primary and Revision Total Joint Arthroplasty A Multicenter Study. J Arthroplasty. 2005, 20 (7S): 17-25.
Zhan C, Kaczmarek R, Loyo-Berrios N, Sangl J, Bright RA: Incidence and short-term outcomes of primary and revision hip replacement in the United States. J Bone Joint Surg Am. 2007, 89: 526-533. 10.2106/JBJS.F.00952.
SooHoo NF, Eugene Farng E, Lieberman JR, Chambers L, Zingmond DS: Factors That Predict Short-term Complication Rates After Total Hip Arthroplasty. Clin Orthop Relat Res. 2010, 468: 2363-2371. 10.1007/s11999-010-1354-0.
Pedersen AB, Mehnert F, Johnsen SP, Sørensen HT: Risk of revision of a total hip replacement in patients with diabetes mellitus: a population-based follow up study. J Bone Joint Surg Br. 2010, 92: 929-934. 10.1302/0301-620X.92B7.24461.
Hallan G, Lie SA, Furnes O, Engesaeter LB, Vollset SE, Havelin LI: Medium and long-term performance of 11.516 uncemented primary femoral stems. J Bone Joint Surg Br. 2007, 89: 1574-1580. 10.1302/0301-620X.89B12.18969.
Johnsen S, Sørensen H, Lucht U, Søballe K, Overgaard S, Pedersen AB: Patient-related predictors of implant failure after primary total hip replacement in the initial, short and long terms. A nationwide Danish follow-up study including 36.984 patients. J Bone Joint Surg. 2006, 88: 1303-1308. 10.1302/0301-620X.88B10.17399.
Shervin N, Rubash HE, Katz JN: Orthopaedic procedure volume and patient outcomes: a systematic literature review. Clin Orthop Relat Res. 2007, 457: 35-41.
Losina E, Barrett J, Baron JA, Katz JN: Accuracy of Medicare claims data for rheumatologic diagnoses in total hip replacement recipient. J Clin Epidemiol. 2003, 56: 515-519. 10.1016/S0895-4356(03)00056-8.
Ribera A, Marsal JR, Ferreira-González I, Cascant P, Pons JM, Mitjavila F, Salas T, Permanyer-Miralda G: Predicting in-hospital mortality with coronary bypass surgery using hospital discharge data: comparison with a prospective observational study. Rev Esp Cardiol. 2008, 61: 843-852.
Barba R, Losa JE, Guijarro C, Zapatero A: Reliability of minimal basic data set in the diagnosis of thromboembolic disease. Med Clin (Barc). 2006, 127: 255-257. 10.1157/13091266.
Quan H, Parsons GA, Ghali WA: Validity of information on comorbidity derived rom ICD-9-CCM administrative data. Med Care. 2002, 40: 675-685. 10.1097/00005650-200208000-00007.
Schneeweiss S, Maclure M: Use of comorbidity scores for control of confounding in studies using administrative databases. Int J Epidemiol. 2000, 29: 891-898. 10.1093/ije/29.5.891.
Bjorgul K, Novicoff WM, Saleh KJ: Evaluating comorbidities in total hip and knee arthroplasty: available instruments. J Orthop Traumatol. 2010, 11: 203-209. 10.1007/s10195-010-0115-x.
Burgos E, Gómez-Arnau JI, Díez R, Muñoz L, Fernández-Guisasola J, Garcia del Valle S: Predictive value of six risk scores for outcome after surgical repair of hip fracture in elderly patients. Acta Anaesthesiol Scand. 2008, 52: 125-131.
Weaver F, Hynes D, Hopkinson W, Wixson R, Khuri S, Daley J, Henderson WG: Preoperative risks and outcomes of hip and knee arthroplasty in the Veterans Health Administration. J Arthroplasty. 2003, 18: 693-708. 10.1016/S0883-5403(03)00259-6.
Wildner M, Clark DE: Hip fracture incidence in East and West Germany. Reassessment 10 years after unification. Osteoporos Int. 2001, 12: 136-139. 10.1007/s001980170146.
Mann E, Meyer G, Haastert B, Icks A: Comparison of hip fracture incidence and trends between Germany and Austria 1995-2004: an epidemiological study. BMC Public Health. 2010, 10: 46-10.1186/1471-2458-10-46.
Gil A, Gil R, Alvaro A, San Martín M, González A: Burden of herpes zoster requiring hospitalization in Spain during a seven-year period (1998-2004). BMC Infect Dis. 2009, 9: 55-10.1186/1471-2334-9-55.
Arteaga A, Carrasco-Garrido P, de Andres AL, de Miguel AG, Jiménez-García R: Trends of hepatitis A hospitalizations and costs associated with the hospitalization in Spain (2000-2005). J Viral Hepat. 2009, 16: 286-291. 10.1111/j.1365-2893.2009.01075.x.
Librero J, Peiró S, Ordiñana R: Chronic comorbidity and homogeneity in diagnostic related groups. Gac San. 1999, 13: 292-302.
Riley GF: Administrative and claims records as sources of health care cost data. Med Care. 2009, 47: 51-55. 10.1097/MLR.0b013e31819c95aa.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/13/37/prepub
We want to thank the Ministry of Health for providing us the CMBD databases.
The authors declare that they have no competing interests.
MVM - Conception and design, acquisition of data, interpretation of data and drafting the manuscript. VHB -Acquisition of data, analysis and interpretation of data and drafting the manuscript. ARL- Analysis and interpretation of data and drafting the manuscript. FCR - Analysis and interpretation of data and drafting the manuscript. JRM- Analysis and interpretation of data and drafting the manuscript. JSRM - Analysis and interpretation of data and drafting the manuscript. AGDM - Conception and design and revising the manuscript critically for important intellectual content; RJG - Conception and design, acquisition of data, analysis and interpretation of data and drafting the manuscript. All authors have given final approval of the version to be published.
Authors’ original submitted files for images
Below are the links to the authors’ original submitted files for images.