Skip to main content
The Journal of Bone and Joint Surgery. American Volume logoLink to The Journal of Bone and Joint Surgery. American Volume
. 2012 Jul 18;94(14):8. doi: 10.2106/JBJS.K.00011

Adverse Outcomes in Hip Arthroplasty: Long-Term Trends

Brian R Wolf 1, Xin Lu 1, Yue Li 1, John J Callaghan 1, Peter Cram 1
PMCID: PMC3392201  PMID: 22810410

Abstract

Background:

Total hip arthroplasty is a common surgical procedure, but little is known about longitudinal trends in associated adverse outcomes. Our objective was to describe long-term trends in demographics, comorbidities, and adverse outcomes for older patients who underwent primary and revision total hip arthroplasty.

Methods:

We identified a retrospective, observational cohort of 1,405,379 Medicare beneficiaries who underwent primary total hip arthroplasty and 337,874 who underwent revision total hip arthroplasty between 1991 and 2008. The primary outcome was a composite representing the occurrence of one or more of the following adverse outcomes during the index admission or during readmission within ninety days after discharge: death, hemorrhage, infection, pulmonary embolism, sepsis, deep venous thrombosis, and myocardial infarction. Secondary outcomes included each of these outcomes assessed individually.

Results:

Between 1991 and 2008, the mean age and the mean comorbidity burden increased for all total hip arthroplasty patients. The length of hospital stay after primary and revision total hip arthroplasty declined by approximately 50% over the study period. However, the rate of readmission for any cause has recently increased and has surpassed 10% for primary total hip arthroplasty and 20% for revision total hip arthroplasty. The composite rate of adverse outcomes after primary total hip arthroplasty declined from 4% to 3.4% over the study period, whereas the composite adverse outcome rate after revision total hip arthroplasty slowly increased from 7% to 10.9%. We observed a steady decline in the rates of most individual adverse outcomes after primary total hip arthroplasty over the majority of the study period. Many of these rates stabilized or began to increase slightly near the end of the study period. In contrast, an increase in the rates of many adverse outcomes was observed in the revision total hip arthroplasty population even after accounting for changes in patient complexity. Postoperative hemorrhage has gradually increased after both primary and revision total hip arthroplasty.

Conclusions:

Patients undergoing primary and revision total hip arthroplasty are becoming more complex. Despite this increasing complexity, patient outcomes for primary total hip arthroplasty improved markedly before stabilizing in recent years. In contrast, patient outcomes after revision total hip arthroplasty have gradually worsened, likely reflecting the increase in the medical comorbidities and surgical complexity of these patients. Length of hospital stay has demonstrated a substantial decline, which has recently been coupled with an increased readmission rate.

Level of Evidence:

Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.


Total hip arthroplasty is well established to be a safe and effective therapy for patients with advanced degenerative joint disease1,2. As recognition of the benefits of total hip arthroplasty has increased, there has been a dramatic increase in utilization of this procedure both in the United States and internationally3-6. The increase in utilization of total hip arthroplasty has been driven by an array of factors including the aging of the population7, improvements in surgical technique, and advances in joint implant design8 that are widely thought to result in reduced operative risk and improved patient outcomes.

There have been very few rigorous empirical studies evaluating longitudinal trends in total hip arthroplasty outcomes and adverse events, and the studies that are available are largely from outside the United States9-13. One United States-based study recently examined adverse events in a relatively simplistic manner and failed to examine whether there might be different trends for different adverse outcomes14. Thus, on the basis of the available data, it is extremely difficult to know whether outcomes after primary and revision total hip arthroplasty are improving or whether certain complications are becoming more common. The lack of longitudinal data on total hip arthroplasty outcomes is striking when considered in comparison with other common and costly surgical procedures. For example, there have been numerous studies examining longitudinal trends in outcomes after cardiac surgery and angioplasty15-19 but analogous studies of total hip arthroplasty are limited. Such studies are important in guiding physician and patient decision-making about the risks and benefits of surgery. Likewise, such longitudinal data are important for evaluating the potential impact of changing practice patterns and increasingly resistant bacterial pathogens. The objective of this study was to evaluate long-term trends in complications after primary and revision total hip arthroplasty among older adults enrolled in the United States Medicare program.

Materials and Methods

Data

We used Medicare Provider Analysis and Review (MedPAR) Part A data files to identify fee-for-service beneficiaries who underwent primary or revision total hip arthroplasty between 1991 and 2008. Patients were identified with use of ICD-9-CM (International Classification of Diseases, Ninth Revision, Clinical Modification) procedure codes (81.51 for primary total hip arthroplasty and 00.70, 00.71, 00.72, 00.73, 80.05, and 81.53 for revision arthroplasty)20-23. The Part A files contain a range of data collected from discharge abstracts for all hospitalized fee-for-service Medicare enrollees, including patient demographics, zip code of primary residence, ICD-9-CM codes for primary and secondary diagnoses and procedures (including 2005 coding revisions), admission source, admission and discharge dates, discharge disposition, death occurring up to three years after discharge, each patient’s unique Medicare beneficiary number (allowing for identification of patient readmissions), and each hospital’s unique six-digit identification number. Medicare data have been used extensively in evaluating orthopaedic outcomes. Comorbid illnesses present at the time of the index admission were identified on the basis of ICD-9-CM codes with use of algorithms described by Elixhauser et al.24,25 that consider thirty specific conditions and exclude comorbid conditions that may represent complications of care or that are related to the primary reason for hospitalization.

Our intention was to examine trends in the outcomes of patients undergoing primary and revision total hip arthroplasty procedures. As primary total hip arthroplasty is most often an elective procedure whereas revision total hip arthroplasty can be either an elective or a more urgent procedure, we applied separate exclusion criteria to the primary and revision total hip arthroplasty populations in accordance with prior studies, as described below14,21,26,27. Our primary total hip arthroplasty population sequentially excluded patients with acute fractures (n = 136,888), patients admitted through the emergency department (n = 19,721), and patients admitted through transfer from another hospital (n = 2856). Our revision total hip arthroplasty population did not exclude any of these patient subgroups. However, given that the elective and urgent revision total hip arthroplasty populations may be heterogeneous in nature, the data were analyzed both including and excluding the more urgent revision total hip arthroplasty cases (identified by their admission through the emergency department or by hospital transfer). We defined ninety-day all-cause readmission as any inpatient admission within 90 days after the discharge date for the index admission, with the exception of staged procedures, which were excluded for the reasons described previously14,21,26,27. We also excluded index admissions that occurred after September 30, 2008, to allow for a full ninety-day follow-up period.

Outcomes of Interest

Outcomes were chosen that were deemed to be clinically relevant and also feasibly analyzed with use of Medicare data by utilizing an inclusive list of diagnostic and procedural ICD-9-CM codes. We assessed joint arthroplasty outcomes by examining the incidence of seven separate adverse outcomes that either occurred during the index hospital stay or necessitated hospital readmission as defined above14,20,21,26,27. Sepsis, hemorrhage, pulmonary embolism, deep venous thrombosis, and myocardial infarction were assessed during readmissions after both primary and revision total hip arthroplasty. (Sepsis indicates disseminated systemic infection, whereas postoperative infection indicates a local [wound or joint] infection.) Wound infections were assessed during both the index hospital stay and readmissions in the primary total hip arthroplasty cohort, but only during readmissions in the revision total hip arthroplasty cohort because infection coded on the primary admission for revision total hip arthroplasty may actually constitute the indication for the revision. A return to the operating room was not a requirement for designation of an outcome of infection or hemorrhage. For both primary and revision total hip arthroplasty, mortality was defined as either death in the hospital during the index admission or death within ninety days after the discharge date for the index admission. The ICD-9-CM codes used for identification of the primary outcomes in this study are listed in the Appendix.

Our primary outcome was a composite representing the occurrence of one or more of the individual adverse outcomes within ninety days after the discharge date for the index admission. Secondary outcomes included the rates of each of the seven individual outcomes described above, all-cause readmission within ninety days, and postoperative length of hospital stay.

Statistical Analysis

First, we examined the demographic characteristics and the prevalence of comorbid illness for patients undergoing total hip arthroplasty during each year of the study period. The chi-square test was used for categorical variables, and analysis of variance was used for continuous variables. All analyses were performed separately for primary and revision total hip arthroplasty patients. For simplicity, tabular data are presented for each three-year segment of the study period. Second, we examined outcomes for each year. We compared the incidence of the composite outcome and of the seven individual study outcomes, the all-cause readmission rate, and the length of hospital stay according to year with use of similar statistical methods. Again, analyses were conducted separately for the primary and revision total hip arthroplasty cohorts. Third, we used hierarchical linear models that adjusted for patient demographics (age, race, and sex) and comorbidities and that accounted for clustering of patients within hospitals to calculate risk-standardized rates of each complication28.

We examined the rates for each study outcome separately to determine whether different trends might exist for different outcomes. We examined changes in adverse outcomes over time by plotting the rate of each complication individually and the composite complication rate over time. To assess the robustness of our results, we conducted an array of sensitivity analyses, including repetition of the analyses after adding back the described previously excluded populations (e.g., fracture patients).

All p values were two-tailed, and a p value of <0.05 was considered significant. All statistical analyses were performed with use of SAS software (version 9.1.3; SAS Institute, Cary, North Carolina). This project was approved by the University of Iowa Institutional Review Board.

Source of Funding

This work and the investigators were supported by grant funding from the Department of Veterans Affairs and the National Institutes of Health (K24 AR062133, R01 HL085347, and R01 AG033035). The funding sources played no role in the analyses, interpretation of the results, or drafting of the manuscript.

Results

Our final study population included 1,405,379 elective primary total hip arthroplasties (Table I) and 337,874 revision total hip arthroplasties (Table II) performed between 1991 and September 2008. Table II shows the characteristics of both the entire revision total hip arthroplasty patient cohort and the elective cohort (which excluded patients who were admitted through the emergency room or transferred in).

TABLE I.

Characteristics of Medicare Beneficiaries Receiving Primary Total Hip Arthroplasty Between 1991 and 2008*

Characteristic 1991-1993 1994-1996 1997-1999 2000-2002 2003-2005 2006-2008
No. of hospitalizations 188,646 214,726 218,865 243,402 260,113 279,627
Age (yr) 74.1 ± 6.0 74.6 ± 6.1 75.1 ± 6.2 75.3 ± 6.2 75.6 ± 6.2 75.2 ± 6.5
Female sex (no. [%]) 120,839 (64.1) 137,707 (64.1) 140,380 (64.1) 156,933 (64.5) 165,749 (63.7) 174,821 (62.5)
Race (no. [%])
 White 172,665 (91.5) 201,884 (94.0) 206,304 (94.3) 228,714 (94.0) 243,271 (93.5) 260,960 (93.3)
 Black 6938 (3.7) 8304 (3.9) 8558 (3.9) 9963 (4.1) 11,200 (4.3) 12,678 (4.5)
 Other 2926 (1.6) 2391 (1.1) 3163 (1.4) 3788 (1.6) 4654 (1.8) 5183 (1.9)
 Missing 6117 (3.2) 2147 (1.0) 840 (0.4) 937 (0.4) 988 (0.4) 806 (0.3)
Comorbidities (no. [%])
 Diabetes 13,854 (7.3) 18,812 (8.8) 21,983 (10.0) 27,546 (11.3) 34,217 (13.2) 42,594 (15.2)
 Congestive heart failure 5746 (3.0) 8157 (3.8) 9080 (4.1) 10,713 (4.4) 12,339 (4.7) 12,242 (4.4)
 Obesity 4424 (2.3) 6580 (3.1) 7776 (3.6) 10,273 (4.2) 13,535 (5.2) 20,002 (7.2)
 Renal failure 857 (0.5) 1171 (0.5) 1299 (0.6) 1732 (0.7) 2560 (1.0) 10,307 (3.7)
No. of comorbid conditions 1.1 ± 1.1 1.3 ± 1.3 1.4 ± 1.3 1.6 ± 1.3 1.8 ± 1.4 2.0 ± 1.4
*

P < 0.001 for all comparisons.

Values are given as the mean and the standard deviation.

Asian, Hispanic, North American Native, or other not specified.

TABLE II.

Characteristics of Medicare Beneficiaries Receiving Revision Total Hip Arthroplasty Between 1991 and 2008*

Characteristic 1991-1993 1994-1996 1997-1999 2000-2002 2003-2005 2006-2008
No. of hospitalizations 48,528 53,622 57,886 62,604 57,903 57,331
38,052 43,034 46,599 49,501 44,401 42,775
Age (yr) 75.9 ± 6.9 76.4 ± 6.9 77.0 ± 6.9 77.2 ± 6.9 77.4 ± 6.9 77.4 ± 7.2
75.1 (6.5) 75.8 (6.5) 76.4 (6.6) 76.6 (6.7) 76.9 (6.7) 76.7 (6.9)
Female sex (no. [%]) 31,084 (64.1) 34,124 (63.6) 36,556 (63.2) 39,353 (62.9) 36,110 (62.4) 35,500 (61.9)
23,854 (62.7) 26,801 (62.3) 28,835 (61.9) 30,456 (61.5) 26,974 (60.8) 25,927 (60.6)
Race (no. [%])
 White 44,325 (91.3) 50,031 (93.3) 54,128 (93.5) 58,327 (93.2) 53,988 (93.2) 53,499 (93.3)
34,788 (91.4) 40,208 (93.4) 43,648 (93.7) 46,119 (93.2) 41,441 (93.3) 39,958 (93.4)
 Black 2072 (4.3) 2431 (4.5) 2688 (4.6) 2967 (4.7) 2675 (4.6) 2553 (4.5)
1581 (4.2) 1947 (4.5) 2122 (4.6) 2366 (4.8) 2029 (4.6) 1905 (4.5)
 Other 634 (1.3) 600 (1.1) 828 (1.4) 1081 (1.7) 1084 (1.9) 1162 (2.0)
504 (1.3) 459 (1.1) 650 (1.4) 841 (1.7) 814 (1.8) 825 (1.9)
 Missing 1497 (3.1) 560 (1.0) 242 (0.4) 229 (0.4) 156 (0.3) 117 (0.2)
1179 (3.1) 420 (1.0) 179 (0.4) 175 (0.4) 117 (0.3) 87 (0.2)
Comorbidities (no. [%])
 Diabetes 3624 (7.5) 5074 (9.5) 6312 (10.9) 7715 (12.3) 8029 (13.9) 8797 (15.3)
2714 (7.1) 3889 (9.0) 4991 (10.7) 5980 (12.1) 6090 (13.7) 6605 (15.4)
 Congestive heart  failure 2752 (5.7) 4050 (7.6) 4649 (8.0) 5615 (9.0) 5739 (9.9) 5474 (9.6)
1723 (4.5) 2665 (6.2) 3112 (6.7) 3688 (7.5) 3625 (8.2) 3308 (7.7)
 Obesity 695 (1.4) 1120 (2.1) 1351 (2.3) 1747 (2.8) 1992 (3.4) 2559 (4.5)
594 (1.6) 951 (2.2) 1147 (2.5) 1439 (2.9) 1648 (3.7) 2081 (4.9)
 Renal failure 414 (0.9) 564 (1.1) 756 (1.3) 1048 (1.7) 1283 (2.2) 3531 (6.2)
275 (0.7) 357 (0.8) 506 (1.1) 703 (1.4) 788 (1.8) 2301 (5.4)
No. of comorbid conditions 1.2 ± 1.2 1.5 ± 1.4 1.7 ± 1.4 1.9 ± 1.5 2.1 ± 1.5 2.3 ± 1.5
1.1 ± 1.2 1.5 ± 1.4 1.6 ± 1.4 1.8 ± 1.4 2.0 ± 1.5 2.2 ± 1.5
*

Gray shading indicates values for the elective cohort (i.e., excluding patients admitted through the emergency room or transferred in from another hospital). P < 0.001 for all comparisons except for Black race (p = 0.005 for all revision total hip arthroplasties and p = 0.04 for elective revision total hip arthroplasties).

Values are given as the mean and the standard deviation.

Asian, Hispanic, North American Native, or other not specified.

In both the primary and revision total hip arthroplasty cohorts, the mean patient age increased over time, the proportion of procedures performed on women declined, and the number of comorbid conditions present at the time of the operation (including heart failure, diabetes, obesity, and renal failure) increased substantially. For example, the prevalence of diabetes increased from 7.3% and 7.5% in primary and revision total hip arthroplasty, respectively, in the 1991-1993 period to 15.2% and 15.3% in the 2006-2008 period. Similarly, obesity increased from 2.3% and 1.4% to 7.2% and 4.5% over this time. The length of hospital stay declined from a median of 8 days for primary total hip arthroplasty and nine days for revision total hip arthroplasty in 1991-1993 to three days for primary total hip arthroplasty and four days for revision total hip arthroplasty in 2006-2008 (Tables III and IV and Appendix).

TABLE III.

Adverse Outcomes Occurring in the Hospital or Within Ninety Days After Primary Total Hip Arthroplasty

1991-1993 (N = 188,646) 1994-1996 (N = 214,726) 1997-1999 (N = 218,865) 2000-2002 (N = 243,402) 2003-2005 (N = 260,113) 2006-2008 (N = 279,627) P Value
Length of hospital stay* 8 (6-10) 5 (4-7) 4 (3-5) 4 (3-5) 4 (3-4) 3 (3-4) <0.0001
Ninety-day mortality (no. [%]) 2237 (1.2) 2348 (1.1) 2337 (1.1) 2348 (1.0) 2328 (0.9) 2194 (0.8) <0.0001
Postoperative infection (no. [%]) 1525 (0.8) 1722 (0.8) 1803 (0.8) 1996 (0.8) 1286 (0.5) 1632 (0.6) <0.0001
Postoperative hemorrhage (no. [%]) 277 (0.1) 388 (0.2) 842 (0.4) 966 (0.4) 1120 (0.4) 1821 (0.7) <0.0001
Deep venous thrombosis (no. [%]) 2273 (1.2) 2458 (1.1) 1899 (0.9) 1612 (0.7) 1409 (0.5) 1794 (0.6) <0.0001
Pulmonary embolism (no. [%]) 924 (0.5) 908 (0.4) 651 (0.3) 643 (0.3) 686 (0.3) 998 (0.4) <0.0001
Myocardial infarction (no. [%]) 773 (0.4) 1002 (0.5) 1164 (0.5) 1218 (0.5) 1326 (0.5) 1836 (0.7) <0.0001
Sepsis (no. [%]) 291 (0.2) 363 (0.2) 402 (0.2) 418 (0.2) 577 (0.2) 983 (0.4) <0.0001
Composite adverse outcome (no. [%]) 7560 (4.0) 8314 (3.9) 8137 (3.7) 8172 (3.4) 7597 (2.9) 9574 (3.4) <0.0001
All-cause readmission rate (no. [%]) 18,030 (9.6) 18,537 (8.6) 18,149 (8.3) 18,511 (7.6) 19,538 (7.5) 30,540 (10.9) <0.0001
*

The values are given as the median, with the interquartile range in parentheses.

TABLE IV.

Adverse Outcomes Occurring in the Hospital or Within Ninety Days After Revision Total Hip Arthroplasty*

1991-1993 1994–1996 1997–1999 2000–2002 2003–2005 2006–2008 P Value
Length of hospital stay 9 (7-13) 6 (5-9) 5 (4-7) 5 (4-7) 5 (3-7) 4 (3-7) <0.0001
8 (7-11) 6 (4-8) 5 (4-6) 4 (4-6) 4 (3-6) 4 (3-6) <0.0001
Ninety-day mortality (no. [%]) 2016 (4.2) 2215 (4.1) 2674 (4.6) 2986 (4.8) 2826 (4.9) 2872 (5.0) <0.0001
1023 (2.7) 1182 (2.7) 1428 (3.1) 1492 (3.0) 1334 (3.0) 1273 (3.0) 0.0023
Postop. infection (no. [%]) 518 (1.1) 701 (1.3) 938 (1.6) 1112 (1.8) 1241 (2.1) 1651 (2.9) <0.0001
384 (1.0) 523 (1.2) 662 (1.4) 760 (1.5) 836 (1.9) 1051 (2.5) <0.0001
Postop. hemorrhage (no. [%]) 108 (0.2) 158 (0.3) 457 (0.8) 528 (0.8) 559 (1.0) 847 (1.5) <0.0001
82 (0.2) 114 (0.3) 334 (0.7) 372 (0.8) 382 (0.9) 588 (1.4) <0.0001
Deep venous thrombosis (no. [%]) 372 (0.8) 467 (0.9) 417 (0.7) 418 (0.7) 405 (0.7) 491 (0.9) 0.7290
293 (0.8) 361 (0.8) 296 (0.6) 297 (0.6) 293 (0.7) 307 (0.7) 0.0145
Pulmonary embolism (no. [%]) 169 (0.3) 144 (0.3) 116 (0.2) 140 (0.2) 143 (0.2) 209 (0.4) 0.5990
139 (0.4) 111 (0.3) 83 (0.2) 105 (0.2) 102 (0.2) 136 (0.3) 0.2531
Myocardial infarction (no. [%]) 241 (0.5) 354 (0.7) 405 (0.7) 480 (0.8) 532 (0.9) 661 (1.2) <0.0001
183 (0.5) 262 (0.6) 306 (0.7) 337 (0.7) 374 (0.8) 447 (1.0) <0.0001
Sepsis (no. [%]) 293 (0.6) 333 (0.6) 394 (0.7) 461 (0.7) 582 (1.0) 849 (1.5) <0.0001
164 (0.4) 208 (0.5) 231 (0.5) 255 (0.5) 324 (0.7) 461 (1.1) <0.0001
Composite adverse outcome (no. [%]) 3407 (7.0) 3941 (7.3) 4717 (8.1) 5302 (8.5) 5358 (9.3) 6249 (10.9) <0.0001
2069 (5.4) 2468 (5.7) 2917 (6.3) 3124 (6.3) 3091 (7.0) 3514 (8.2) <0.0001
All-cause readmission rate (no. [%]) 7223 (14.9) 7801 (14.6) 8308 (14.4) 8772 (14.0) 8733 (15.1) 11,454 (20.0) <0.0001
5213 (13.7) 5807 (13.5) 6018 (12.9) 6209 (12.5) 5994 (13.5) 7540 (17.6) <0.0001
*

Gray shading indicates values for the elective cohort (i.e., excluding patients admitted through the emergency room or transferred in from another hospital).

The values are given as the median, with the interquartile range in parentheses.

Relatively modest changes were seen in the composite rate of adverse outcomes over time after adjusting for patient demographic characteristics, comorbidity, and clustering (see Appendix). For primary total hip arthroplasty, the unadjusted incidence of the composite of adverse outcomes decreased from 4.0% in 1991-1993 to 2.9% in 2003-2005 before increasing again to 3.4% in the last three years of the study period (Table III and Appendix). Similarly, all-cause readmission within ninety days after discharge declined from an unadjusted rate of 9.6% in 1991-1993 to 7.5% in 2003-2005 before increasing again to 10.9% in 2006-2008 (Table III and Appendix).

Examination of individual complications after primary total hip arthroplasty revealed a number of interesting trends. Mortality within ninety days after primary total hip arthroplasty declined in both unadjusted analyses (Table III) and adjusted analyses that accounted for trends in patient complexity (see Appendix). The rates of other adverse outcomes demonstrated trends that ranged from increases to decreases over time (see Appendix). For example, postoperative infection decreased significantly over time, as did the occurrence of deep venous thrombosis (see Appendix). However, the rate of postoperative hemorrhage demonstrated an increasing trend, as did myocardial infarction (Table III and Appendix). Lastly, sepsis remained relatively constant until a late increase from 2003 to 2008.

For revision total hip arthroplasty, unadjusted outcomes are reported for the entire revision total hip arthroplasty cohort and also for revision total hip arthroplasties that would be considered elective (Table IV). The composite rate of adverse outcomes increased from 7.0% in 1991-1993 to 10.9% in 2006-2008 (Table IV); the results were similar in analyses that accounted for the increase in patient complexity over time (see Appendix). Ninety-day postoperative mortality increased slightly from 4.2% in 1991-1993 to 5.0% in 2006-2008 (Table IV), but this increase was largely attenuated when adjusted for patient complexity, suggesting that the increased patient mortality that was observed was largely related to an increase in the risk profile of the revision total hip arthroplasty population over time. As with primary total hip arthroplasty, the rates of the individual adverse outcomes after revision total hip arthroplasty varied over time, with increasing, decreasing, and static rate trends for individual outcomes (Table IV and Appendix). Ninety-day rates of myocardial infarction, hemorrhage, and postoperative infection demonstrated consistent increases over the course of the study period (Table IV). The incidences of pulmonary embolism and deep venous thrombosis fluctuated over the study period. Sepsis remained relatively static until a significant rise at the end of the study period. Rates of adverse outcomes were lower when patients admitted through the emergency room or through transfer were excluded (Table IV).

Finally, all-cause readmission rates declined modestly for both primary and revision total hip arthroplasty between 1991 and 2003 before demonstrating a marked increase for both procedures at the end of the study period, when rates actually exceeded those in 1991 (see Appendix). In sensitivity analyses, results were similar when the excluded populations were added back into the study populations.

Discussion

In a longitudinal analysis of Medicare administrative data, we identified a number of important trends in primary and revision hip arthroplasty outcomes. This is especially pertinent information given that primary and revision total hip arthroplasty were ranked third and fourth among the orthopaedic procedures that accounted for the majority of adverse events and excess hospital days29. We observed a steady decline in the rates of most adverse outcomes after primary total hip arthroplasty, especially in adjusted analyses that took into account the effect of increasing patient complexity. The opposite effect, an increase in the rates of many adverse outcomes, was observed in the revision total hip arthroplasty population even after accounting for patient complexity. Finally, we found that the declining length of hospital stay after total hip arthroplasty may be coming at the expense of rising readmissions.

The mean age of patients undergoing both primary and revision total hip arthroplasty increased slightly over time and the burden of comorbid illness increased significantly, suggesting that total hip arthroplasty is being performed on an older and sicker population than ever before. Longitudinal data on patient complexity are limited, but prior studies have demonstrated similar longitudinal trends of increasing comorbidity burden and patient complexity in hip12 and knee arthroplasty2,30-32 as well as in cardiovascular procedures33-35.

Our data demonstrated that the rates of most adverse outcomes after primary total hip arthroplasty declined over the majority of the study period, despite increased patient complexity, before again increasing during the last three years. The overall decline in the composite score over the study period was fostered by progressive declines in most of the individual outcomes that were studied, including postoperative mortality, infection, and deep venous thrombosis. The observed reduction in these complications is plausible in light of the greater attention given to preoperative antibiotics and postoperative venous thromboembolism prophylaxis by surgical teams.

A gradual but definite increase in the composite rate of adverse outcomes after revision total hip arthroplasty throughout the study period was observed. This increase persisted after adjustment for changing patient demographics, clinical characteristics, and hospital clustering, which suggests that worsening outcomes were not entirely due to the aging population. It is likely that the worsening outcomes observed reflect not only the increasing comorbidity burden of the revision total hip arthroplasty population but also the increasing technical complexity of total hip arthroplasty revisions over time.

Gradual decreases in the length of hospital stay were observed for both primary and revision total hip arthroplasty patients. The time spent in the hospital decreased by >50% for both procedures during the study period. An overall increasing trend was also observed in all-cause readmission rates after primary total hip arthroplasty. The trend for all-cause readmission after revision total hip arthroplasty was similar to that after primary total hip arthroplasty, with a slow, gradual decline between 1992 and 2003 followed by an abrupt increase. By the end of the study period, >20% of revision total hip arthroplasty patients required readmission within ninety days after the end of the index admission. Small but definite increases in the rates of postoperative infection, hemorrhage, myocardial infarction, and sepsis after revision total hip arthroplasty were noted during the later portion of the study period, and these were likely associated with the increase in readmissions.

The remarkably high readmission rate should serve to further highlight the complexity and risk associated with revision procedures. Likewise, the rising readmission rate highlights the inherent conflict that surgeons face in managing the length of hospital stay in tandem with hospital administrators; keeping a patient in the hospital for an extra day or two may be best for the patient but financially detrimental to the hospital. Our findings may also have important future implications regarding reimbursement. Until recently, readmissions were not costly for hospitals, as the hospitals were reimbursed piecemeal for each readmission. However, in the future there may be financial disincentives for potentially avoidable hospital readmissions related to quality of care.

Two temporal elements within the orthopaedic arthroplasty field may also have had direct influence on the outcomes reflected in our data. The increase in the rate of postoperative hemorrhage may be related to the increasingly widespread adoption of more aggressive pharmacologic prophylaxis against venous thromboembolism. In addition, there are potential technique-related orthopaedic factors to be considered. The utilization of minimal-incision arthroplasty became popular during the latter years of our study period. Some reports have identified minimal-incision arthroplasty as being a risk factor for early failure of total hip arthroplasty and as being correlated with increased surgery-related complications36-38.

The results of the current study can be compared with the existing literature. Using one year (1995-1996) of Medicare claims data, Phillips et al. found the rate of pulmonary embolism to be 0.9% within six months after primary total hip arthroplasty and 0.8% after revision total hip arthroplasty. The rate of deep infection during this time period was 0.2% after primary procedures and 1.1% after revision procedures39. These complication rates are higher than our results, possibly reflecting the longer postoperative inclusion period. Using the same 1995 to 1996 data, Mahomed et al. found a 4.6% rate of readmission rate within ninety days after primary total hip arthroplasty and a 10.0% rate after revision total hip arthroplasty40. Ninety-day mortality was 1.1% after primary total hip arthroplasty and 2.6% after revision total hip arthroplasty in that study. Using 2003 hospital discharge data for approximately 230,000 primary and revision total hip arthroplasties, Zhan et al. demonstrated ninety-day readmission rates of 8.9% and 15.7% after primary and revision procedures41. Ninety-day mortality rates were 0.33% and 0.84% in that study, which were both markedly lower than our results and those of Mahomed et al. Lastly, using fifteen years of National Hospital Discharge Survey data, Memtsoudis et al. and Liu et al. reported infection rates of 0.47% and 0.48% after primary and revision total hip arthroplasty, a pulmonary embolism rate of 0.33% after primary procedures, and mortality rates of 0.33% and 1% after primary and revision procedures12,13.

There are a number of limitations to the present study that are inherent in any analysis of large claims databases. There is a potential for bias resulting from underreporting of outcomes that could be considered complications42 or undercoding of patient comorbidities42,43. Underreporting of complications can possibly artificially inflate risk-adjusted outcomes. Coding of comorbidities and outcomes in claims databases requires a clinical suspicion, confirmation of that comorbidity or outcome (often with a test), and finally documentation of the result. Extensive medical record reviews have demonstrated that models based on claims data produce risk estimates that are good surrogates for the actual occurrence of major procedures and complications44,45. However, studies have also shown that the completeness of Medicare data is more limited for complications such as surgical site skin infections or deep venous thromboses that are of a more minor nature46-48. Lastly, we attempted to risk-adjust the populations being analyzed with use of coded comorbidity data, but our adjustment may not have been perfect.

Although a small number of attempts to validate such administrative data have been published21, much work needs to be done. Recently, an analysis was performed to assess the sensitivity and positive predictive value of administrative data regarding surgical adverse events; the calculated sensitivities ranged from 29% to 63% and the positive predictive values ranged from 22% to 89%49. In addition, it is possible that a portion of the changes in outcome over time that we observed reflect an increase in the aggressiveness of coding practices in recent years50. Nevertheless, we are unaware of any systematic changes in the coding of primary or revision total hip arthroplasty that would have substantially impacted our findings. Despite these inherent limitations in using claims-based databases, such data will continue to be used in the future in the United States by the Centers for Medicare & Medicaid Services for assessing hospital outcomes.

It is very important to emphasize that our study was limited to fee-for-service Medicare beneficiaries, and thus extrapolation to other populations should be done with caution. Medicare Part A data lack clinical information such as the implants utilized, anesthesia-related variables, and functional outcome measures. Our data represent Medicare claims data and not a registry. Such administrative data cannot capture many key orthopaedic outcomes such as quality of life and functional status. However, in the absence of national registries of arthroplasty patients that capture patient comorbidity, surgical complications, and postoperative functional status, such data sets remain an essential part of research.

In conclusion, the complexity of patients undergoing primary and revision total hip arthroplasty has increased. Despite this increasing complexity, patient outcomes after primary total hip arthroplasty improved markedly before stabilizing or slightly worsening in recent years. However, patient outcomes after revision total hip arthroplasty have gradually worsened, likely reflecting the increase in medical comorbidities and surgical complexity of these patients.

Appendix

A list of the ICD-9-CM codes used to identify the primary outcomes in this study and figures showing mean length of hospital stay, rates of adverse outcomes, and readmission rates within ninety days after primary and revision total hip arthroplasty are available with the online version of this article as a data supplement at jbjs.org.

Footnotes

Disclosure: One or more of the authors received payments or services, either directly or indirectly (i.e., via his or her institution), from a third party in support of an aspect of this work. In addition, one or more of the authors, or his or her institution, has had a financial relationship, in the thirty-six months prior to submission of this work, with an entity in the biomedical arena that could be perceived to influence or have the potential to influence what is written in this work. No author has had any other relationships, or has engaged in any other activities, that could be perceived to influence or have the potential to influence what is written in this work. The complete Disclosures of Potential Conflicts of Interest submitted by authors are always provided with the online version of the article.

References

  • 1.Katz JN, Phillips CB, Baron JA, Fossel AH, Mahomed NN, Barrett J, Lingard EA, Harris WH, Poss R, Lew RA, Guadagnoli E, Wright EA, Losina E. Association of hospital and surgeon volume of total hip replacement with functional status and satisfaction three years following surgery. Arthritis Rheum. 2003;48:560-8 [DOI] [PubMed] [Google Scholar]
  • 2.Khatod M, Inacio M, Paxton EW, Bini SA, Namba RS, Burchette RJ, Fithian DC. Knee replacement: epidemiology, outcomes, and trends in Southern California: 17,080 replacements from 1995 through 2004. Acta Orthop. 2008;79:812-9 [DOI] [PubMed] [Google Scholar]
  • 3.National Center for Health Statistics Health, United States, 2009: with special feature on medical terminology. 2010 [PubMed] [Google Scholar]
  • 4.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;87:1487-97 [DOI] [PubMed] [Google Scholar]
  • 5.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;77:733-40 [DOI] [PubMed] [Google Scholar]
  • 6.Merx H, Dreinhöfer K, Schräder P, Stürmer T, Puhl W, Günther KP, Brenner H. International variation in hip replacement rates. Ann Rheum Dis. 2003;62:222-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Birrell F, Johnell O, Silman A. Projecting the need for hip replacement over the next three decades: influence of changing demography and threshold for surgery. Ann Rheum Dis. 1999;58:569-72 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Huo MH, Parvizi J, Bal BS, Mont MA; Council of Musculoskeletal Specialty Societies (COMSS) of the American Academy of Orthopaedic Surgeons What’s new in total hip arthroplasty. J Bone Joint Surg Am. 2008;90:2043-55 [DOI] [PubMed] [Google Scholar]
  • 9.Himanen AK, Belt E, Nevalainen J, Hämäläinen M, Lehto MU. Survival of the AGC total knee arthroplasty is similar for arthrosis and rheumatoid arthritis. Finnish Arthroplasty Register report on 8,467 operations carried out between 1985 and 1999. Acta Orthop. 2005;76:85-8 [DOI] [PubMed] [Google Scholar]
  • 10.Lie SA, Engesaeter LB, Havelin LI, Gjessing HK, Vollset SE. Mortality after total hip replacement: 0-10-year follow-up of 39,543 patients in the Norwegian Arthroplasty Register. Acta Orthop Scand. 2000;71:19-27 [DOI] [PubMed] [Google Scholar]
  • 11.Schrama JC, Espehaug B, Hallan G, Engesaeter LB, Furnes O, Havelin LI, Fevang BT. Risk of revision for infection in primary total hip and knee arthroplasty in patients with rheumatoid arthritis compared with osteoarthritis: a prospective, population-based study on 108,786 hip and knee joint arthroplasties from the Norwegian Arthroplasty Register. Arthritis Care Res (Hoboken). 2010;62:473-9 [DOI] [PubMed] [Google Scholar]
  • 12.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;33:643-51 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Memtsoudis SG, Ma Y, Gonzalez Della Valle A, Besculides MC, Gaber LK, Koulouvaris P, Liu SS. Demographics, outcomes, and risk factors for adverse events associated with primary and revision total hip arthroplasties in the United States. Am J Orthop (Belle Mead NJ). 2010;39:E72-7 [PubMed] [Google Scholar]
  • 14.Cram P, Lu X, Kaboli PJ, Vaughan-Sarrazin MS, Cai X, Wolf BR, Li Y. Clinical characteristics and outcomes of Medicare patients undergoing total hip arthroplasty, 1991-2008. JAMA. 2011;305:1560-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Birkmeyer NJ, Marrin CA, Morton JR, Leavitt BJ, Lahey SJ, Charlesworth DC, Hernandez F, Olmstead EM, O'Connor GT. Decreasing mortality for aortic and mitral valve surgery in Northern New England. Northern New England Cardiovascular Disease Study Group. Ann Thorac Surg. 2000;70:432-7 [DOI] [PubMed] [Google Scholar]
  • 16.Holmes JS, Kozak LJ, Owings MF. Use and in-hospital mortality associated with two cardiac procedures, by sex and age: national trends, 1990-2004. Health Aff (Millwood). 2007;26:169-77 [DOI] [PubMed] [Google Scholar]
  • 17.Marcin JP, Li Z, Kravitz RL, Dai JJ, Rocke DM, Romano PS. The CABG surgery volume-outcome relationship: temporal trends and selection effects in California, 1998-2004. Health Serv Res. 2008;43(1 Pt 1):174-92 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ricciardi R, Virnig BA, Ogilvie JW, Jr, Dahlberg PS, Selker HP, Baxter NN. Volume-outcome relationship for coronary artery bypass grafting in an era of decreasing volume. Arch Surg. 2008;143:338-44 [DOI] [PubMed] [Google Scholar]
  • 19.Wilson CT, Fisher ES, Welch HG, Siewers AE, Lucas FL. U.S. trends in CABG hospital volume: the effect of adding cardiac surgery programs. Health Aff (Millwood). 2007;26:162-8 [DOI] [PubMed] [Google Scholar]
  • 20.Katz JN, Barrett J, Mahomed NN, Baron JA, Wright RJ, Losina E. Association between hospital and surgeon procedure volume and the outcomes of total knee replacement. J Bone Joint Surg Am. 2004;86:1909-16 [DOI] [PubMed] [Google Scholar]
  • 21.Katz JN, Losina E, Barrett J, Phillips CB, Mahomed NN, Lew RA, Guadagnoli E, Harris WH, Poss R, Baron JA. Association between hospital and surgeon procedure volume and outcomes of total hip replacement in the United States medicare population. J Bone Joint Surg Am. 2001;83:1622-9 [DOI] [PubMed] [Google Scholar]
  • 22.Losina E, Barrett J, Mahomed NN, Baron JA, Katz JN. Early failures of total hip replacement: effect of surgeon volume. Arthritis Rheum. 2004;50:1338-43 [DOI] [PubMed] [Google Scholar]
  • 23.Mitchell JB, Bubolz T, Paul JE, Pashos CL, Escarce JJ, Muhlbaier LH, Wiesman JM, Young WW, Epstein RS, Javitt JC. Using Medicare claims for outcomes research. Med Care. 1994;32(7 Suppl):JS38-51 [PubMed] [Google Scholar]
  • 24.Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130-9 [DOI] [PubMed] [Google Scholar]
  • 25.Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36:8-27 [DOI] [PubMed] [Google Scholar]
  • 26.Cram P, Vaughan-Sarrazin MS, Wolf B, Katz JN, Rosenthal GE. A comparison of total hip and knee replacement in specialty and general hospitals. J Bone Joint Surg Am. 2007;89:1675-84 [DOI] [PubMed] [Google Scholar]
  • 27.Hagen TP, Vaughan-Sarrazin MS, Cram P. Relation between hospital orthopaedic specialisation and outcomes in patients aged 65 and older: retrospective analysis of US Medicare data. BMJ. 2010;340:c165 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Rothman K, Greenland S, Lash TL. Modern epidemiology. 2nd ed Philadelphia, PA: Lippincott Raven Publishers; 1998. p 260-2 [Google Scholar]
  • 29.Schilling PL, Hallstrom BR, Birkmeyer JD, Carpenter JE. Prioritizing perioperative quality improvement in orthopaedic surgery. J Bone Joint Surg Am. 2010;92:1884-9 [DOI] [PubMed] [Google Scholar]
  • 30.Mehrotra C, Remington PL, Naimi TS, Washington W, Miller R. Trends in total knee replacement surgeries and implications for public health, 1990-2000. Public Health Rep. 2005;120:278-82 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Robertsson O, Dunbar MJ, Knutson K, Lidgren L. Past incidence and future demand for knee arthroplasty in Sweden: a report from the Swedish Knee Arthroplasty Register regarding the effect of past and future population changes on the number of arthroplasties performed. Acta Orthop Scand. 2000;71:376-80 [DOI] [PubMed] [Google Scholar]
  • 32.Jain NB, Higgins LD, Ozumba D, Guller U, Cronin M, Pietrobon R, Katz JN. Trends in epidemiology of knee arthroplasty in the United States, 1990-2000. Arthritis Rheum. 2005;52:3928-33 [DOI] [PubMed] [Google Scholar]
  • 33.Bueno H, Ross JS, Wang Y, Chen J, Vidán MT, Normand SL, Curtis JP, Drye EE, Lichtman JH, Keenan PS, Kosiborod M, Krumholz HM. Trends in length of stay and short-term outcomes among Medicare patients hospitalized for heart failure, 1993-2006. JAMA. 2010;303:2141-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Krumholz HM, Wang Y, Chen J, Drye EE, Spertus JA, Ross JS, Curtis JP, Nallamothu BK, Lichtman JH, Havranek EP, Masoudi FA, Radford MJ, Han LF, Rapp MT, Straube BM, Normand SL. Reduction in acute myocardial infarction mortality in the United States: risk-standardized mortality rates from 1995-2006. JAMA. 2009;302:767-73 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ross JS, Chen J, Lin Z, Bueno H, Curtis JP, Keenan PS, Normand SL, Schreiner G, Spertus JA, Vidán MT, Wang Y, Wang Y, Krumholz HM. Recent national trends in readmission rates after heart failure hospitalization. Circ Heart Fail. 2010;3:97-103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Woolson ST, Mow CS, Syquia JF, Lannin JV, Schurman DJ. Comparison of primary total hip replacements performed with a standard incision or a mini-incision. J Bone Joint Surg Am. 2004;86:1353-8 [DOI] [PubMed] [Google Scholar]
  • 37.Fehring TK, Mason JB. Catastrophic complications of minimally invasive hip surgery. A series of three cases. J Bone Joint Surg Am. 2005;87:711-4 [DOI] [PubMed] [Google Scholar]
  • 38.Graw BP, Woolson ST, Huddleston HG, Goodman SB, Huddleston JI. Minimal incision surgery as a risk factor for early failure of total hip arthroplasty. Clin Orthop Relat Res. 2010;468:2372-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Phillips CB, Barrett JA, Losina E, Mahomed NN, Lingard EA, Guadagnoli E, Baron JA, Harris WH, Poss R, Katz JN. Incidence rates of dislocation, pulmonary embolism, and deep infection during the first six months after elective total hip replacement. J Bone Joint Surg Am. 2003;85:20-6 [DOI] [PubMed] [Google Scholar]
  • 40.Mahomed NN, Barrett JA, Katz JN, Phillips CB, Losina E, Lew RA, Guadagnoli E, Harris WH, Poss R, Baron JA. Rates and outcomes of primary and revision total hip replacement in the United States medicare population. J Bone Joint Surg Am. 2003;85:27-32 [DOI] [PubMed] [Google Scholar]
  • 41.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;89:526-33 [DOI] [PubMed] [Google Scholar]
  • 42.Iezzoni LI, Foley SM, Daley J, Hughes J, Fisher ES, Heeren T. Comorbidities, complications, and coding bias. Does the number of diagnosis codes matter in predicting in-hospital mortality? JAMA. 1992;267:2197-203 [DOI] [PubMed] [Google Scholar]
  • 43.Bhattacharyya T, Iorio R, Healy WL. Rate of and risk factors for acute inpatient mortality after orthopaedic surgery. J Bone Joint Surg Am. 2002;84:562-72 [DOI] [PubMed] [Google Scholar]
  • 44.Krumholz HM, Wang Y, Mattera JA, Wang Y, Han LF, Ingber MJ, Roman S, Normand SL. An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction. Circulation. 2006;113:1683-92 [DOI] [PubMed] [Google Scholar]
  • 45.Krumholz HM, Wang Y, Mattera JA, Wang Y, Han LF, Ingber MJ, Roman S, Normand SL. An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure. Circulation. 2006;113:1693-701 [DOI] [PubMed] [Google Scholar]
  • 46.Kaafarani HM, Borzecki AM, Itani KM, Loveland S, Mull HJ, Hickson K, Macdonald S, Shin M, Rosen AK. Validity of selected Patient Safety Indicators: opportunities and concerns. J Am Coll Surg. 2011;212:924-34 [DOI] [PubMed] [Google Scholar]
  • 47.Lyman S, Dunn WR, Spock C, Bach PB, Mandl LA, Marx RG. Validity of same-side reoperation after total hip and knee arthroplasty using administrative databases. J Knee Surg. 2009;22:17-20 [DOI] [PubMed] [Google Scholar]
  • 48.Romano PS, Chan BK, Schembri ME, Rainwater JA. Can administrative data be used to compare postoperative complication rates across hospitals? Med Care. 2002;40:856-67 [DOI] [PubMed] [Google Scholar]
  • 49.Kaafarani HM, Rosen AK. Using administrative data to identify surgical adverse events: an introduction to the Patient Safety Indicators. Am J Surg. 2009;198(5 Suppl):S63-8 [DOI] [PubMed] [Google Scholar]
  • 50.Silverman E, Skinner J. Medicare upcoding and hospital ownership. J Health Econ. 2004;23:369-89 [DOI] [PubMed] [Google Scholar]

Articles from The Journal of Bone and Joint Surgery. American volume are provided here courtesy of Journal of Bone and Joint Surgery, Inc.

RESOURCES