Abstract
Background:
More than 75,000 total hip replacements were performed in England and Wales in 2014, and this figure is predicted to increase. Trends in mortality and complications following total hip replacement from 2005 to 2014 were evaluated to quantify risk and to identify “at-risk” groups to better inform recommendations for patient care.
Methods:
Our primary analysis estimated 90-day inpatient mortality following total hip replacement using Hospital Episode Statistics data from 2005 to 2014. Secondary analyses explored 30-day rates of lower respiratory tract infection, renal failure, myocardial infarction, pulmonary embolism, deep-vein thrombosis, cerebrovascular accident, and Clostridium difficile. Hierarchical logistic regression was used to estimate population averages, adjusting for time and prognostic covariates.
Results:
From January 2005 to July 2014, a total of 540,623 total hip replacements were reported. The 90-day mortality rate dropped steadily, from 0.60% in 2005 to 0.15% in 2014. Reported postoperative complications (with the exception of lower respiratory tract infection and renal failure) reduced year-on-year, despite a steady rise in the average Charlson Comorbidity Index score. The 30-day rate of lower respiratory tract infection and renal failure increased from 0.54% to 0.84% and 0.21% to 1.09%, respectively. The risk of mortality was significantly higher for those who developed a lower respiratory tract infection (odds ratio [OR] = 42.3) or renal failure (OR = 36.5) than for those who developed pulmonary embolism (OR = 10.9) or deep-vein thrombosis (OR = 2.6).
Conclusions:
Despite a population with increasing levels of comorbidity, indicators of quality of care improved from 2005 to 2014, with the exception of the rates of lower respiratory tract infection and renal failure. Postoperative care should focus on reducing the risk of lower respiratory tract infection and renal failure, both of which increased and were strongly associated with mortality. Moreover, they appeared to occur in identifiable high-risk groups; modifications to routine care should be considered for these patients.
Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Total hip replacement is a highly successful and cost-effective intervention, with >75,000 procedures performed in England and Wales in 20141-3. Comprehensive data from the National Joint Registry for England, Wales, and Northern Ireland (NJR) have permitted detailed understanding of how and why the performance of hip replacement surgery varies and the influences on surgical and patient outcomes of a range of surgical, patient, and prosthesis characteristics4. The publication of surgeon-level data was introduced in England and Wales in June 2013 to increase transparency regarding surgical outcomes5. The information published includes surgeon volume and 90-day mortality. At the national level, the associated 90-day mortality rate after a hip replacement fell consistently in recent years, from 0.56% in 2003 to 0.29% in 20116. Major complications have been noted to occur in 2% of procedures7, with the majority occurring in the first 4 postoperative days8.
Experiencing a major complication is associated with a higher mortality rate9,10. However, low rates of complications make it difficult to determine risk factors from case-series reports. The Hospital Episode Statistics (HES) data warehouse provides access to inpatient data on all joint replacements performed in the English National Health Service (NHS). Novel methods of analyzing these data can provide clinicians with new insights into the best ways to treat individual patients, by tailoring perioperative and postoperative care. This has the potential to reduce morbidity and mortality, reduce health-care costs, and maximize the benefit of total hip replacement. It should also allow improved “patient-specific” informed consent and provide evidence to redirect valuable health-care resources to more appropriate “at-risk” groups.
To our knowledge, there are currently no validated risk tools for reliably estimating complications after total hip replacement. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) surgical risk calculator11 was developed in 2013 from >1.4 million cases but fails to provide accurate risk estimations for lower-limb joint replacement12. Attempts to make arthroplasty-specific tools have objectively been underpowered and require external validation13. By analyzing complication rates over time, we aimed with this study to provide current risk estimations on the basis of a large cohort of patients, to inform recommendations for the care of high-risk groups.
Materials and Methods
Our research was limited to the secondary use of non-identifiable information previously collected in the course of normal care and was therefore exempt from formal ethical approval.
Study Design and Data
This was a retrospective cohort study. We used HES data to assess rates, trends, and determinants of complications among all patients who underwent NHS-funded primary total hip replacement in England from January 2005 to July 2014. For patients who underwent >1 joint replacement during the study period, each replacement was treated as a discrete event.
HES data in the form of the OPCS-4 (Office of Population Censuses and Surveys Classification of Surgical Operations and Procedures, 4th Revision) and ICD-10 (International Statistical Classification of Diseases and Related Health Problems, 10th Revision) codes were used to establish rates of myocardial infarction, cerebrovascular accident, lower respiratory tract infection, renal failure, deep-vein thrombosis, pulmonary embolism, and Clostridium difficile infection within 30 days (see Appendix). All-cause inpatient 90-day mortality was also extracted. Age, sex, comorbidities, and Charlson Comorbidity Index (CCI) score14 were recorded for each patient. The CCI predicts patient 1-year mortality.
Statistical Methods
The analytic framework was hypothesis-generating rather than formal hypothesis-testing, and thus, a p value of <0.05 was considered significant for findings meriting further investigation, without adjustment for multiple comparisons.
The primary analysis estimated 90-day inpatient mortality following hip replacement. Event rates over time were explored using a hierarchical logistic model, with hospital trust as a random effect, and estimating population average estimates, averaging trust-level random effects, and providing robust standard errors. Serial autocorrelation was explored and excluded from the final models as insignificant to the estimation. Model covariates explored at the patient level were age, sex, and history of hypertension, atrial fibrillation, ischemic heart disease, hyperthyroidism, hypothyroidism, insulin-dependent diabetes mellitus, non-insulin-dependent diabetes mellitus, circulatory disease, chronic obstructive pulmonary disease (COPD), dementia, Alzheimer disease, and osteoporosis. Secondary analyses similarly explored 30-day rates of other events: myocardial infarction, cerebrovascular accident, lower respiratory tract infection, renal failure, deep-vein thrombosis, pulmonary embolism, and C. difficile.
Analyses were performed using STATA/IC (version 13.1; StataCorp); proportions were estimated from models using reported odds and odds ratios (ORs). Model estimates were used to plot fitted lines by population and subpopulation.
Patient Involvement
No patients were involved in setting the research question or the outcome measures. In tandem with this project, a qualitative study will explore the patient experience of complications as well as the consenting process. The end goal is to enhance shared decision-making, the patient experience, and outcomes.
Results
From January 2005 to July 2014, a total of 540,623 total hip replacements (474,128 patients) were recorded in HES. Of those hip replacements, 328,941 (60.8%) were performed in female patients, with a mean age of 69.2 years, and 211,280 (39.1%) were performed in male patients, with a mean age of 67.1 years. The frequency of recorded comorbidities is shown in Table I.
TABLE I.
Demographics of Patients Who Underwent Total Hip Replacement (THR) from January 2005 to July 2014*
| 2005 |
2014 |
Overall |
|||||||
| % | 95% CI | % | 95% CI | P Value | % | ||||
| No. of THRs | 34,643 | 40,758 | 540,623 | ||||||
| Sex | |||||||||
| No. of female | 21,359 | 61.7 | 61.1-62.1 | 24,469 | 60.0 | 59.6-60.6 | <0.0001 | 328,941 | 60.8 |
| No. of male | 13,249 | 38.2 | 37.9-38.9 | 16,282 | 39.9 | 39.4-40.4 | <0.0001 | 211,280 | 39.1 |
| No. unknown | 35 | 0.1 | 7 | 0.01 | 402 | 0.1 | |||
| Mean age (yr) | |||||||||
| Overall | 69.0 | 68.8-69.7 | 68.0 | 67.9-68.1 | <0.0001 | 68.4 | |||
| Female | 69.8 | 69.7-69.9 | 68.8 | 68.6-68.9 | <0.0001 | 69.2 | |||
| Male | 67.6 | 67.4-67.8 | 66.7 | 66.6-66.9 | <0.0001 | 67.1 | |||
| No. with comorbidities | |||||||||
| No comorbidities | 21,445 | 61.9 | 61.4-62.4 | 19,338 | 47.4 | 47.0-47.9 | <0.0001 | 283,428 | 52.4 |
| Hypertension | 10,727 | 31.0 | 30.5-31.5 | 18,374 | 45.1 | 44.6-45.6 | <0.0001 | 216,283 | 40.0 |
| IHD | 1,854 | 5.4 | 5.1-5.6 | 2,868 | 7.0 | 6.8-7.3 | <0.0001 | 35,593 | 6.6 |
| AF | 1,423 | 4.1 | 3.9-4.3 | 2,392 | 5.9 | 5.6-6.1 | <0.0001 | 28,288 | 5.2 |
| IDDM | 156 | 0.5 | 0.4-0.5 | 133 | 0.3 | 0.3-0.4 | 0.006 | 2,132 | 0.4 |
| NIDDM | 1,995 | 5.8 | 5.5-6.0 | 3,704 | 9.1 | 8.8-9.4 | <0.0001 | 42,970 | 7.9 |
| COPD | 691 | 2.0 | 1.8-2.1 | 1,737 | 4.3 | 4.1-4.5 | <0.0001 | 17,349 | 3.2 |
CI = confidence interval, IHD = ischemic heart disease, AF = atrial fibrillation, IDDM = insulin-dependent diabetes mellitus, NIDDM = non-insulin-dependent diabetes mellitus, and COPD = chronic obstructive pulmonary disease.
The 90-day mortality rate consistently dropped annually, from 0.60% in 2005 to 0.15% in 2014 (p < 0.0001) (Fig. 1). This was despite a progressive increase in the levels of comorbidity, as shown by the CCI score distribution (Fig. 2).
Fig. 1.
Annual 90-day inpatient mortality rate following primary total hip replacement among NHS patients in England. The error bars indicate the 95% confidence interval.
Fig. 2.

Annual distribution of Charlson Comorbidity Index scores.
Postoperative complications, with the exception of lower respiratory tract infection and renal failure, decreased annually (Table II). The 30-day rate of myocardial infarction decreased from 0.48% to 0.18% (p < 0.0001); pulmonary embolism, from 0.77% to 0.40% (p < 0.0001); deep-vein thrombosis, from 1.15% to 0.28% (p < 0.0001); and C. difficile, from 0.16% to 0.02% (p < 0.0001). The 30-day rate of lower respiratory tract infection and renal failure increased from 0.54% to 0.84% (p < 0.0001) and 0.21% to 1.09% (p < 0.0001), respectively, and were the most frequent complications in 2014. The associated risk of 90-day inpatient mortality was significantly higher for those who developed a lower respiratory tract infection (OR = 42.3; 95% confidence interval [CI] = 37.6 to 47.5; p < 0.0001) or renal failure (OR = 36.5; 95% CI = 32.1 to 41.6; p < 0.0001) than for those who developed pulmonary embolism (OR =10.9; 95% CI = 8.9 to 13.4; p < 0.0001) or deep-vein thrombosis (OR = 2.6; 95% CI = 1.8 to 3.8; p < 0.0001). The overall risks of mortality associated with these conditions all decreased over the study period, with the exception of myocardial infarction and C. difficile.
TABLE II.
Associated Risk of 90-Day Mortality, by Complication, Following Total Hip Replacement from January 2005 to July 2014*
| 2005, N = 34,643 |
2014, N = 40,758 |
Overall, N = 540,623 |
|||||||
| 90-Day Mortality |
90-Day Mortality |
90-Day Mortality |
|||||||
| No. (%) | No. (%)† | OR (95% CI) | No. (%) | No. (%)† | OR (95% CI) | No. (%) | No. (%)† | OR (95% CI) | |
| MI | 167 (0.48) | 38 (22.8) | 59.8 (40.4-88.5) | 75 (0.18) | 7 (9.33) | 78.9 (34.6-179.8) | 1,906 (0.35) | 273 (14.3) | 59.2 (51.6-67.9) |
| PE | 268 (0.77) | 18 (6.7) | 13.0 (7.9-21.5) | 162 (0.40) | 2 (1.23) | 8.7 (2.1-36.1) | 2,967 (0.55) | 99 (3.34) | 10.9 (8.9-13.4) |
| DVT | 400 (1.15) | 5 (1.3) | 2.1 (0.9-5.2) | 116 (0.28) | 0 | — | 3,376 (0.62) | 29 (0.86) | 2.6 (1.8-3.8) |
| CVA | 2 (0.01) | 0 | — | 6 (0.01) | 2 (33.3) | 350.8 (63-1,952.9) | 61 (0.01) | 18 (29.5) | 127.3 (73-221.1) |
| RF | 73 (0.21) | 15 (20.5) | 46.3 (25.8-83.1) | 443 (1.09) | 15 (3.39) | 31.4 (17.4-56.7) | 3,242 (0.60) | 299 (9.22) | 36.5 (32.1-41.6) |
| LRTI | 188 (0.54) | 34 (18.1) | 43.8 (29.3-65.3) | 342 (0.84) | 14 (4.09) | 37.5 (20.4-68.8) | 3,907 (0.72) | 389 (9.96) | 42.3 (37.6-47.5) |
| C. difficile | 57 (0.16) | 12 (21.1) | 47.0 (24.5-90.2) | 8 (0.02) | 1 (12.5) | 98.5 (11.9-813.3) | 510 (0.09) | 68 (13.3) | 48.1 (37.1-62.4) |
OR = odds ratio, CI = confidence interval, MI = myocardial infarction, PE = pulmonary embolism, DVT = deep-vein thrombosis, CVA = cerebrovascular accident, RF = renal failure, LRTI = lower respiratory tract infection, and C. difficile = Clostridium difficile.
The percentage is of the total number of hip replacements with the indicated complication at that time period.
After adjusting for age, sex, and comorbidities, we noted an association between 90-day inpatient mortality and preexisting ischemic heart disease (OR = 2.3; 95% CI = 2.1 to 2.7; p < 0.001), atrial fibrillation (OR = 2.5; 95% CI = 2.2 to 2.8; p < 0.001), insulin-dependent diabetes mellitus (OR = 2.8; 95% CI = 1.7 to 4.5; p < 0.001), non-insulin-dependent diabetes mellitus (OR = 1.4; 95% CI = 1.2 to 1.6; p < 0.001), and COPD (OR = 2.8; 95% CI = 2.4 to 3.3; p < 0.001), but not hypertension (OR = 0.9; 95% CI = 0.9 to 1.0; p = 0.265) (Table III).
TABLE III.
Odds Ratios (and 95% CIs) for Complications and 90-Day Mortality, by Comorbidity*
| Complication |
|||||||||
| Comorbidity | MI | PE | DVT | CVA | RF | LRTI | C. difficile | 90-Day Mortality | |
| HTN | 2005 | 1.2 (0.8-1.6) | 0.9 (0.7-1.1) | 1.0 (0.8-1.3) | — | 2.0 (1.3-3.3)† | 1.2 (0.9-1.7) | 0.8 (0.4-1.4) | 1.0 (0.8-1.4) |
| 2014 | 1.2 (0.7-2.0) | 1.0 (0.7-1.4) | 0.7 (0.5-1.1) | 0.7 (0.1-3.6) | 1.6 (1.3-1.9)‡ | 0.9 (0.7-1.2) | 0.7 (0.2-3.2) | 1.5 (0.8-2.6) | |
| Overall | 1.2 (1.1-1.3)‡ | 1.0 (0.9-1.1) | 1.0 (0.9-1.1) | 0.7 (0.4-1.3) | 1.3 (1.2-1.4)‡ | 1.0 (0.9-1.1) | 0.8 (0.7-1.0) | 0.9 (0.9-1.0) | |
| IHD | 2005 | 5.9 (4.3-8.3)‡ | 1.6 (1.0-2.4)† | 0.8 (0.5-1.2) | — | 1.2 (0.6-2.5) | 2.4 (1.6-3.5)‡ | 3.0 (1.4-6.4)† | 2.7 (1.9-3.8)‡ |
| 2014 | 9.0 (5.6-14)‡ | 1.2 (0.7-2.0) | 0.9 (0.4-1.9) | 3.2 (0.5-19) | 1.5 (1.1-1.9)† | 1.7 (1.3-2.3)‡ | 0.7 (0.1-9.1) | 2.1 (1.1-3.8)† | |
| Overall | 4.6 (4.0-5.2)‡ | 1.3 (1.2-1.5)‡ | 1.1 (0.9-1.2) | 1.1 (0.5-2.5) | 1.6 (1.5-1.8)‡ | 1.6 (1.4-1.7)‡ | 1.4 (1.0-1.8)† | 2.3 (2.1-2.7)‡ | |
| AF | 2005 | 3.2 (2.2-4.7)‡ | 1.7 (1.1-2.7)† | 0.8 (0.5-1.4) | — | 2.7 (1.5-5.1)† | 3.1 (2.1-4.6)‡ | 2.0 (0.9-4.5) | 2.5 (1.7-3.6)‡ |
| 2014 | 2.3 (1.3-4.0)† | 1.1 (0.6-1.9) | 1.7 (0.9-3.3) | 4.6 (0.8-27) | 2.1 (1.6-2.6)‡ | 2.5 (1.9-3.4)‡ | 1.0 (0.1-12.0) | 2.6 (1.4-4.7)† | |
| Overall | 2.1 (1.9-2.4)‡ | 1.4 (1.3-1.6)‡ | 1.0 (0.9-1.2) | 1.9 (0.8-4.2) | 2.1 (1.9-2.3)‡ | 2.4 (2.1-2.6)‡ | 2.0 (1.6-2.6)‡ | 2.5 (2.2-2.8)‡ | |
| IDDM | 2005 | 1.2 (0.2-8.5) | 2.3 (0.7-7.3) | — | — | 3.0 (0.4-22) | — | — | — |
| 2014 | 6.8 (1.6-29)† | 1.8 (0.3-13) | — | — | 5.9 (2.8-12)‡ | 0.8 (0.1-5.8) | 40 (3.3-494)‡ | 4.1 (0.5-31) | |
| Overall | 2.3 (1.4-3.7)‡ | 0.8 (0.4-1.4) | 0.7 (0.4-1.4) | 1.0 (1.0-1.0) | 5.0 (3.7-6.8)‡ | 1.6 (1.1-2.5)† | 1.0 (0.2-4.0) | 2.8 (1.7-4.5)‡ | |
| NIDDM | 2005 | 1.8 (1.2-2.9)† | 0.5 (0.2-0.9)† | 1.0 (0.6-1.5) | — | 2.3 (1.3-4.4)† | 1.7 (1.1-2.7)‡ | 0.5 (0.1-2.1) | 0.7 (0.4-1.3) |
| 2014 | 1.2 (0.6-2.2) | 1.2 (0.7-1.9) | 1.3 (0.7-2.4) | — | 2.4 (1.9-3.0)‡ | 1.4 (1.0-1.8)† | 3.5 (0.6-19) | 1.0 (0.5-2.1) | |
| Overall | 1.7 (1.5-1.9)‡ | 0.8 (0.7-1.0)† | 1.0 (0.8-1.1) | 1.1 (0.5-2.6) | 2.2 (2.0-2.4)‡ | 1.3 (1.2-1.4)‡ | 1.2 (0.9-1.6) | 1.4 (1.2-1.6)‡ | |
| COPD | 2005 | 0.8 (0.3-2.1) | 1.6 (0.9-3.1) | 1.0 (0.5-2.0) | — | 3.2 (1.4-7.6)† | 2.9 (1.6-5.1)‡ | — | 2.3 (1.3-4.1)† |
| 2014 | 1.1 (0.5-2.5) | 2.3 (1.4-3.9)† | 1.6 (0.8-3.2) | — | 1.8 (1.3-2.4)‡ | 3.5 (2.6-4.7)‡ | — | 3.0 (1.5-6.1)† | |
| Overall | 1.4 (1.1-1.6)† | 1.5 (1.3-1.8)‡ | 1.4 (1.2-1.6)‡ | 1.2 (0.4-3.6) | 2.0 (1.7-2.2)‡ | 3.1 (2.8-3.5)‡ | 2.3 (1.7-3.2)‡ | 2.8 (2.4-3.3)‡ | |
After adjustment for age, sex, and other comorbidities. CI = confidence interval, MI = myocardial infarction, PE = pulmonary embolism, DVT = deep-vein thrombosis, CVA = cerebrovascular accident, RF = renal failure, LRTI = lower respiratory tract infection, C. difficile = Clostridium difficile, HTN = hypertension, IHD = ischemic heart disease, AF = atrial fibrillation, IDDM = insulin-dependent diabetes mellitus, NIDDM = non-insulin-dependent diabetes mellitus, and COPD = chronic obstructive pulmonary disease.
P < 0.05.
P < 0.001.
The risk of experiencing postoperative myocardial infarction was associated with preexisting ischemic heart disease (OR = 4.6; 95% CI = 4.0 to 5.2; p < 0.001), atrial fibrillation (OR = 2.1; 95% CI = 1.9 to 2.4; p < 0.001), and insulin-dependent diabetes mellitus (OR = 2.3; 95% CI = 1.4 to 3.7; p < 0.001). The risk of developing a postoperative lower respiratory tract infection was associated with a previous diagnosis of COPD (OR = 3.1; 95% CI = 2.8 to 3.5; p < 0.001) or atrial fibrillation (OR = 2.4; 95% CI = 2.1 to 2.6; p < 0.001). The risk of experiencing postoperative renal failure was strongly associated with preexisting insulin-dependent diabetes mellitus (OR = 5.0; 95% CI = 3.7 to 6.8; p < 0.001) and, to a lesser extent, atrial fibrillation (OR = 2.1; 95% CI = 1.9 to 2.3; p < 0.001), non-insulin-dependent diabetes mellitus (OR = 2.2; 95% CI = 2.0 to 2.4; p < 0.001), and COPD (OR = 2.0; 95% CI = 1.7 to 2.2; p < 0.001).
Discussion
Despite a population with increasing levels of comorbidity, indicators of quality of care improved from 2005 to 2014, with the exception of the rates of lower respiratory tract infection and renal failure. Perioperative complication and mortality rates are key concerns for patients, anesthetists, and surgeons. Elective hip arthroplasty is consistently reported to have a very low perioperative mortality rate15-22 and low medical complication rates8,22. However, Dimick et al. concluded that the minimum caseload necessary to detect a doubling of the mortality rate for hip replacement surgery was 2,668 cases23. In order to reliably identify changes in mortality or medical complications, single institutions need to collect data over large time intervals to accumulate data that demonstrate significance24. The average number of total hip replacements performed per unit was 363 in England in 2013, inferring that >7 years of data are required to attain the estimation of Dimick et al. This carries the risk of averaging results over decades despite notable improvements in the quality of care over time. In contrast, large regional or national databases in Europe and the U.S. provide more statistically robust data, allow earlier detection of potential problems, and eliminate single institution-based selection bias8,25-27.
The aim of this study was to determine up-to-date medical complication and mortality rates, identifying “at-risk” groups following hip arthroplasty in England. Our national data analysis showed an annual reduction in the 90-day mortality rate after total hip replacement consistent with, and extending, a recent NJR analysis6. It is generally accepted that the risk of mortality is highest immediately following surgery, but the overall 90-day mortality rate was lower than that previously reported for age, sex and comorbidity-matched patients who did not undergo total hip replacement27,28.
The publication of surgeon-level data introduced in 2013 has sharpened focus on complications after surgery, with the intention of increasing transparency and, ultimately, reducing mortality5. The consistent drop in mortality after total hip replacement during the period of study implies successive advances in surgical practice and medical care, irrespective of the publication of surgeon-level outcome data.
Although our HES data did not include privately funded patients, we know that 88% of hip replacements in England in 2014 were performed within the NHS3. Evidence suggests that private institutions tend to “cherry-pick” the healthier patients (limited critical care provision in the private sector precludes patients of higher surgical risk), and we would therefore expect that our data would over-represent the complication and mortality rates compared with data including those of patients in the private sector29. Our current study also included NHS patients at private units and independent treatment centers.
A potential limitation of our study was the quality of HES data. The database relies on the precision of trained but nonmedical staff inputting data using the ICD-10 and OPCS-4 coding systems. As these patients were planned admissions for surgery, it was assumed that none of the complications occurred prior to total hip replacement. HES is an internationally unique resource, the accuracy of which is perceived to be improving since the introduction of payment by results in 2004. As these data are used for billing, each trust is externally audited. A recent audit of 50 trusts found an average error rate of 7.0%30.
HES data also have the limitation of the recording of only inpatient deaths. The data set captures readmission with subsequent death but does not record deaths occurring outside the hospital. Therefore, the absolute mortality rate is underestimated. Our mortality trend is, however, consistent with that of a previous national study that used Office of National Statistics data to identify all deaths6.
For patients who underwent >1 joint replacement during the 10-year study period, each replacement was treated as a discrete event. Having a previous hip replacement could impact future risk and, therefore, overall complication estimates. However, it was not possible to exclude all patients who had had a hip replacement prior to 2005 or any other surgical procedure during the period of study.
The CCI14 is a widely used tool and has demonstrated excellent predictive validity31. However, this index tends to underestimate comorbidity because it is limited to 19 conditions and has poor interconditional weighting, but its simplicity in design makes its adaptation feasible31. The apparent increase in annual CCI scores may be a result of improved coding; however, one would also expect a similar increase in codes for complications such as deep-vein thrombosis and pulmonary embolism. The improved diagnosis of many conditions such as hypertension and non-insulin-dependent diabetes mellitus is known to have increased with time32.
HES data do not include specific cause of death. A previous report15 found that the main cause of death following total hip replacement was cardiovascular-related. Our study found lower respiratory tract infection to be the complication most commonly associated with death following joint replacement. The lower respiratory tract infection rate was 0.72% (3,907 procedures), with mortality reported following 389 (9.96%) of those procedures. Renal failure was the second-most common complication associated with mortality. The renal failure rate was 0.60%, with mortality reported following 299 (9.22%) of 3,242 procedures. However, renal failure is more likely to be simultaneous with other complications and, therefore, may not have been the main cause of death; HES data do not classify severity of kidney injury. The myocardial infarction rate in our study was 0.35%, with mortality reported following 273 (14.3%) of 1,906 procedures. This did not, however, take into consideration the possibility of silent myocardial infarction33.
Pulmonary embolism following arthroplasty remains a much-debated topic, particularly with regard to choices of thromboprophylaxis34-36. In scrutinizing the records of all patients following primary hip replacement in 1990 in a single U.K. health region, Fender et al. found a fatal pulmonary embolism rate of 0.19% (4 of 2,090 patients) and determined that a study would require 67,000 randomized patients to be significant if fatal pulmonary embolism were to be used as the end point37. Wroblewski et al. showed 122 pulmonary embolism-related deaths in 18,104 Charnley arthroplasties (0.67%) from 1970 to 198638, and Lie et al. found a fatal pulmonary embolism rate of 0.92% between 1987 and 1995 (45,767 patients)16. Our data revealed a pulmonary embolism rate of 0.55%, and a fatal pulmonary embolism rate of only 0.018% (99 total hip replacements). The consistent reduction in both pulmonary embolism and deep-vein thrombosis could be attributed to adherence to National Institute of Clinical Excellence (NICE) guidance on venous thromboembolism (VTE) prophylaxis. However, the adherence to and effect of VTE guidance has previously been questioned34 and the observed reductions in deep-vein thrombosis and pulmonary embolism rates may be the result of enhanced recovery protocols, including the switch from general to spinal anesthesia and early postoperative mobilization. The implementation of such protocols has been shown to reduce short-term complications and mortality39.
Three times as many patients died following lower respiratory tract infection as compared with pulmonary embolism, yet no routine prophylaxis is provided to reduce the risk of respiratory-related complications. Preoperative respiratory physiotherapy has been associated with a reduction in postoperative pulmonary complications in cardiac and major abdominal surgery40. Its role in lower-limb joint arthroplasty, to our knowledge, has not been described, but it could be adopted for at-risk patients, such as those with COPD.
All indicators of quality of care improved from 2005 to 2014, with the exception of the rates of lower respiratory tract infection and renal failure. We hypothesize that the increased rate of renal failure may be as a result of the national drive to reduce C. difficile by promoting a change in surgical prophylaxis from cephalosporins to gentamicin, while acknowledging that nationwide practice remains varied41. Gentamicin is associated with an increased rate of renal failure even when used as a single-dose prophylaxis42. The rate of C. difficile fell, from 0.16% to 0.02% (in line with C. difficile rates generally in England)43, but potentially at the expense of increasing renal failure. For at-risk patients (notably, patients with diabetes), alternatives to gentamicin could be considered for surgical prophylaxis. The findings of a recent large randomized trial suggest that statins may increase rates of renal failure after surgery44. While acknowledging their potential benefit in reducing the risk of ischemia in patients undergoing cardiac surgery, we should consider stopping the use of statins in total hip replacement patients at high risk of renal failure.
Total joint replacement in the English NHS has a very low risk of mortality and postoperative complications: 3% of procedures being followed by a medical complication. Despite a population with progressively more comorbidities, the rates of complications, with the exception of those of lower respiratory tract infection and renal failure, improved from 2005 to 2014. To date, the drive for quality has focused on avoiding deep-vein thrombosis and pulmonary embolism. This should now focus on chest infections and renal failure, which were more common, increased, and very strongly associated with death. Identifying at-risk groups for additional prophylactic measures could reduce these complications.
Appendix
A table showing the ICD-10 and OPCS-4 codes used in our analysis is available with the online version of this article as a data supplement at jbjs.org (http://links.lww.com/JBJS/E621).
Acknowledgments
Note: The authors thank Philip James of Caspe Healthcare Knowledge Systems (CHKS) for his support and contribution. CHKS provided data and advice on clinical coding to support this study (free of charge) in order to assist in furthering the understanding of outcomes in English NHS hospitals. HES data were reused with permission of the Health and Social Care Information Centre.
Footnotes
Investigation performed at Durham University, Stockton, United Kingdom
A commentary by Anne R. Bass, MD, is linked to the online version of this article at jbjs.org.
Disclosure: No external funding was received for this study. The Disclosure of Potential Conflicts of Interest forms are provided with the online version of the article (http://links.lww.com/JBJS/E620).
References
- 1.Fordham R, Skinner J, Wang X, Nolan J; Exeter Primary Outcome Study Group. The economic benefit of hip replacement: a 5-year follow-up of costs and outcomes in the Exeter Primary Outcomes Study. BMJ Open. 2012. May 25;2(3):e000752. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Jenkins PJ, Clement ND, Hamilton DF, Gaston P, Patton JT, Howie CR. Predicting the cost-effectiveness of total hip and knee replacement: a health economic analysis. Bone Joint J. 2013. January;95-B(1):115-21. [DOI] [PubMed] [Google Scholar]
- 3.National Joint Registry. NJR 11th annual report. 2014. http://www.njrcentre.org.uk/njrcentre/Portals/0/Documents/England/Reports/11th_annual_report/NJR%2011th%20Annual%20Report%202014.pdf. Accessed 2017 Jul 21.
- 4.Jameson SS, Baker PN, Mason J, Rymaszewska M, Gregg PJ, Deehan DJ, Reed MR. Independent predictors of failure up to 7.5 years after 35 386 single-brand cementless total hip replacements: a retrospective cohort study using National Joint Registry data. Bone Joint J. 2013. June;95-B(6):747-57. [DOI] [PubMed] [Google Scholar]
- 5.Radford PD, Derbyshire LF, Shalhoub J, Fitzgerald JE; Council of the Association of Surgeons in Training. Publication of surgeon specific outcome data: a review of implementation, controversies and the potential impact on surgical training. Int J Surg. 2015. January;13:211-6. Epub 2014 Dec 10. [DOI] [PubMed] [Google Scholar]
- 6.Hunt LP, Ben-Shlomo Y, Clark EM, Dieppe P, Judge A, MacGregor AJ, Tobias JH, Vernon K, Blom AW; National Joint Registry for England, Wales and Northern Ireland. 90-day mortality after 409,096 total hip replacements for osteoarthritis, from the National Joint Registry for England and Wales: a retrospective analysis. Lancet. 2013. September 28;382(9898):1097-104. [DOI] [PubMed] [Google Scholar]
- 7.Aghayev E, Beck A, Staub LP, Dietrich D, Melloh M, Orljanski W, Röder C. Simultaneous bilateral hip replacement reveals superior outcome and fewer complications than two-stage procedures: a prospective study including 1819 patients and 5801 follow-ups from a total joint replacement registry. BMC Musculoskelet Disord. 2010. October 25;11:245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Lie SA, Pratt N, Ryan P, Engesaeter LB, Havelin LI, Furnes O, Graves S. Duration of the increase in early postoperative mortality after elective hip and knee replacement. J Bone Joint Surg Am. 2010. January;92(1):58-63. [DOI] [PubMed] [Google Scholar]
- 9.Singh JA, Jensen MR, Harmsen WS, Gabriel SE, Lewallen DG. Cardiac and thromboembolic complications and mortality in patients undergoing total hip and total knee arthroplasty. Ann Rheum Dis. 2011. December;70(12):2082-8. Epub 2011 Oct 21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hassan BK, Sahlström A, Dessau RB. Risk factors for renal dysfunction after total hip joint replacement; a retrospective cohort study. J Orthop Surg Res. 2015. October 1;10:158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bilimoria KY, Liu Y, Paruch JL, Zhou L, Kmiecik TE, Ko CY, Cohen ME. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. J Am Coll Surg. 2013. November;217(5):833-42.e1: 3. Epub 2013 Sep 18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Edelstein AI, Kwasny MJ, Suleiman LI, Khakhkhar RH, Moore MA, Beal MD, Manning DW. Can the American College of Surgeons risk calculator predict 30-day complications after knee and hip arthroplasty? J Arthroplasty. 2015. September;30(9)(Suppl):5-10. Epub 2015 May 27. [DOI] [PubMed] [Google Scholar]
- 13.Konopka JF, Hansen VJ, Rubash HE, Freiberg AA. Risk assessment tools used to predict outcomes of total hip and total knee arthroplasty. Orthop Clin North Am. 2015. July;46(3):351-62, ix-x. Epub 2015 Mar 24. [DOI] [PubMed] [Google Scholar]
- 14.Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83. [DOI] [PubMed] [Google Scholar]
- 15.Blom A, Pattison G, Whitehouse S, Taylor A, Bannister G. Early death following primary total hip arthroplasty: 1,727 procedures with mechanical thrombo-prophylaxis. Acta Orthop. 2006. June;77(3):347-50. [DOI] [PubMed] [Google Scholar]
- 16.Lie SA, Engesaeter LB, Havelin LI, Furnes O, Vollset SE. Early postoperative mortality after 67,548 total hip replacements: causes of death and thromboprophylaxis in 68 hospitals in Norway from 1987 to 1999. Acta Orthop Scand. 2002. August;73(4):392-9. [DOI] [PubMed] [Google Scholar]
- 17.Parvizi J, Pour AE, Peak EL, Sharkey PF, Hozack WJ, Rothman RH. One-stage bilateral total hip arthroplasty compared with unilateral total hip arthroplasty: a prospective study. J Arthroplasty. 2006. September;21(6)(Suppl 2):26-31. [DOI] [PubMed] [Google Scholar]
- 18.Parvizi J, Tarity TD, Sheikh E, Sharkey PF, Hozack WJ, Rothman RH. Bilateral total hip arthroplasty: one-stage versus two-stage procedures. Clin Orthop Relat Res. 2006. December;453:137-41. [DOI] [PubMed] [Google Scholar]
- 19.Tarity TD, Herz AL, Parvizi J, Rothman RH. Ninety-day mortality after hip arthroplasty: a comparison between unilateral and simultaneous bilateral procedures. J Arthroplasty. 2006. September;21(6)(Suppl 2):60-4. [DOI] [PubMed] [Google Scholar]
- 20.Whittle J, Steinberg EP, Anderson GF, Herbert R, Hochberg MC. Mortality after elective total hip arthroplasty in elderly Americans. Age, gender, and indication for surgery predict survival. Clin Orthop Relat Res. 1993. October;(295):119-26. [PubMed] [Google Scholar]
- 21.Jiang Y, Zhang K, Die J, Shi Z, Zhao H, Wang K. A systematic review of modern metal-on-metal total hip resurfacing vs standard total hip arthroplasty in active young patients. J Arthroplasty. 2011. April;26(3):419-26. Epub 2010 Sep 18. [DOI] [PubMed] [Google Scholar]
- 22.Aynardi M, Pulido L, Parvizi J, Sharkey PF, Rothman RH. Early mortality after modern total hip arthroplasty. Clin Orthop Relat Res. 2009. January;467(1):213-8. Epub 2008 Oct 10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Dimick JB, Welch HG, Birkmeyer JD. Surgical mortality as an indicator of hospital quality: the problem with small sample size. JAMA. 2004. August 18;292(7):847-51. [DOI] [PubMed] [Google Scholar]
- 24.Parvizi J, Johnson BG, Rowland C, Ereth MH, Lewallen DG. Thirty-day mortality after elective total hip arthroplasty. J Bone Joint Surg Am. 2001. October;83(10):1524-8. [DOI] [PubMed] [Google Scholar]
- 25.Havelin LI, Engesaeter LB, Espehaug B, Furnes O, Lie SA, Vollset SE. The Norwegian Arthroplasty Register: 11 years and 73,000 arthroplasties. Acta Orthop Scand. 2000. August;71(4):337-53. [DOI] [PubMed] [Google Scholar]
- 26.SooHoo NF, Lieberman JR, Ko CY, Zingmond DS. Factors predicting complication rates following total knee replacement. J Bone Joint Surg Am. 2006. March;88(3):480-5. [DOI] [PubMed] [Google Scholar]
- 27.Barrett J, Losina E, Baron JA, Mahomed NN, Wright J, Katz JN. Survival following total hip replacement. J Bone Joint Surg Am. 2005. September;87(9):1965-71. [DOI] [PubMed] [Google Scholar]
- 28.Berstock JR, Beswick AD, Lenguerrand E, Whitehouse MR, Blom AW. Mortality after total hip replacement surgery: A systematic review. Bone Joint Res. 2014. June;3(6):175-82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Chard J, Kuczawski M, Black N, van der Meulen J; POiS Audit Steering Committee. Outcomes of elective surgery undertaken in independent sector treatment centres and NHS providers in England: audit of patient outcomes in surgery. BMJ. 2011. October 19;343:d6404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.CHKS. The quality of clinical coding in the NHS. CAPITA,, 2014. http://www.capitahealthpartners.co.uk/news-opinion/the-quality-of-clinical-coding-in-the-nhs#.WXIcc4Tys2w. Accessed 2017 Jul 21. [Google Scholar]
- 31.Hall WH, Ramachandran R, Narayan S, Jani AB, Vijayakumar S. An electronic application for rapidly calculating Charlson comorbidity score. BMC Cancer. 2004. December 20;4:94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Robson J, Dostal I, Sheikh A, Eldridge S, Madurasinghe V, Griffiths C, Coupland C, Hippisley-Cox J. The NHS Health Check in England: an evaluation of the first 4 years. BMJ Open. 2016. January 13;6(1):e008840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.French GW, Lam WH, Rashid Z, Sear JW, Foëx P, Howell S. Peri-operative silent myocardial ischaemia in patients undergoing lower limb joint replacement surgery: an indicator of postoperative morbidity or mortality? Anaesthesia. 1999. March;54(3):235-40. [DOI] [PubMed] [Google Scholar]
- 34.Jameson SS, Bottle A, Malviya A, Muller SD, Reed MR. The impact of national guidelines for the prophylaxis of venous thromboembolism on the complications of arthroplasty of the lower limb. J Bone Joint Surg Br. 2010. January;92(1):123-9. [DOI] [PubMed] [Google Scholar]
- 35.Rahme E, Dasgupta K, Burman M, Yin H, Bernatsky S, Berry G, Nedjar H, Kahn SR. Postdischarge thromboprophylaxis and mortality risk after hip-or knee-replacement surgery. CMAJ. 2008. June 3;178(12):1545-54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Sharrock NE, Gonzalez Della Valle A, Go G, Lyman S, Salvati EA. Potent anticoagulants are associated with a higher all-cause mortality rate after hip and knee arthroplasty. Clin Orthop Relat Res. 2008. March;466(3):714-21. Epub 2008 Feb 10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Fender D, Harper WM, Thompson JR, Gregg PJ. Mortality and fatal pulmonary embolism after primary total hip replacement. Results from a regional hip register. J Bone Joint Surg Br. 1997. November;79(6):896-9. [DOI] [PubMed] [Google Scholar]
- 38.Wroblewski BM, Siney PD, Fleming PA. Fatal pulmonary embolism after total hip arthroplasty: diurnal variations. Orthopedics. 1998. December;21(12):1269-71. [DOI] [PubMed] [Google Scholar]
- 39.Khan SK, Malviya A, Muller SD, Carluke I, Partington PF, Emmerson KP, Reed MR. Reduced short-term complications and mortality following enhanced recovery primary hip and knee arthroplasty: results from 6,000 consecutive procedures. Acta Orthop. 2014. February;85(1):26-31. Epub 2013 Dec 20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Katsura M, Kuriyama A, Takeshima T, Fukuhara S, Furukawa TA. Preoperative inspiratory muscle training for postoperative pulmonary complications in adults undergoing cardiac and major abdominal surgery. Cochrane Database Syst Rev. 2015. October 5;10:CD010356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Hickson CJ, Metcalfe D, Elgohari S, Oswald T, Masters JP, Rymaszewska M, Reed MR, Sprowson AP. Prophylactic antibiotics in elective hip and knee arthroplasty: an analysis of organisms reported to cause infections and national survey of clinical practice. Bone Joint Res. 2015. November;4(11):181-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Bell S, Davey P, Nathwani D, Marwick C, Vadiveloo T, Sneddon J, Patton A, Bennie M, Fleming S, Donnan PT. Risk of AKI with gentamicin as surgical prophylaxis. J Am Soc Nephrol. 2014. November;25(11):2625-32. Epub 2014 May 29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.England PH. Annual epidemiological commentary: mandatory MRSA, MSSA and E coli bacteraemia and C difficile infection data. 2014. http://www.gov.uk/government/uploads/system/uploads/attachment_data/file/330529/HCAI_mandatory_surveillance_annual_epidemiological_commentary_2013_14.pdf. Accessed 2016 May 25.
- 44.Zheng Z, Jayaram R, Jiang L, Emberson J, Zhao Y, Li Q, Du J, Guarguagli S, Hill M, Chen Z, Collins R, Casadei B. Perioperative rosuvastatin in cardiac surgery. N Engl J Med. 2016. May 5;374(18):1744-53. [DOI] [PubMed] [Google Scholar]

