Risk Calculators Predict Failures of Knee and Hip Arthroplasties: Findings from a Large Health Maintenance Organization

Background

Considering the cost and risk associated with revision Total knee arthroplasty (TKAs) and Total hip arthroplasty (THAs), steps to prevent these operations will help patients and reduce healthcare costs. Revision risk calculators for patients may reduce revision surgery by supporting clinical decision-making at the point of care.

Questions/purposes

We sought to develop a TKA and THA revision risk calculator using data from a large health-maintenance organization’s arthroplasty registry and determine the best set of predictors for the revision risk calculator.

Methods

Revision risk calculators for THAs and TKAs were developed using a patient cohort from a total joint replacement registry and data from a large US integrated healthcare system. The cohort included all patients who had primary procedures performed in our healthcare system between April 2001 and July 2008 and were followed until January 2014 (TKAs, n = 41,750; THAs, n = 22,721), During the study period, 9% of patients (TKA = 3066/34,686; THA=1898/20,285) were lost to followup and 7% died (TKA= 2350/41,750; THA=1419/20,285). The outcome of interest was revision surgery and was defined as replacement of any component for any reason within 5 years postoperatively. Candidate predictors for the revision risk calculator were limited to preoperative patient demographics, comorbidities, and procedure diagnoses. Logistic regression models were used to identify predictors and the Hosmer-Lemeshow goodness-of-fit test and c-statistic were used to choose final models for the revision risk calculator.

Results

The best predictors for the TKA revision risk calculator were age (odds ratio [OR], 0.96; 95% CI, 0.95–0.97; p < 0.001), sex (OR, 0.84; 95% CI, 0.75–0.95; p = 0.004), square-root BMI (OR, 1.05; 95% CI, 0.99–1.11; p = 0.140), diabetes (OR, 1.32; 95% CI, 1.17–1.48; p < 0.001), osteoarthritis (OR, 1.16; 95% CI, 0.84–1.62; p = 0.368), posttraumatic arthritis (OR, 1.66; 95% CI, 1.07–2.56; p = 0.022), and osteonecrosis (OR, 2.54; 95% CI, 1.31–4.92; p = 0.006). The best predictors for the THA revision risk calculator were sex (OR, 1.24; 95% CI, 1.05–1.46; p = 0.010), age (OR, 0.98; 95% CI, 0.98–0.99; p < 0.001), square-root BMI (OR, 1.07; 95% CI, 1.00–1.15; p = 0.066), and osteoarthritis (OR, 0.85; 95% CI, 0.66–1.09; p = 0.190).

Conclusions

Study model parameters can be used to create web-based calculators. Surgeons can enter personalized patient data in the risk calculators for identification of risk of revision which can be used for clinical decision making at the point of care. Future prospective studies will be needed to validate these calculators and to refine them with time.

Level of Evidence

Level III, prognostic study.     

Femoroacetabular Impingement: Prevalent and Often Asymptomatic in Older Men: The Osteoporotic Fractures in Men Study

Background

The epidemiology of femoroacetabular impingement (FAI) is important but incompletely understood, because most reports arise from symptomatic populations. Investigating the prevalence of FAI in a community-based cohort could help us better understand its epidemiology and in particular the degree to which it might or might not be associated with hip pain.

Questions/purposes

The purposes of this study were (1) to evaluate the proportion of older (≥ 65 years of age) men with morphologic abnormalities consistent with FAI; and (2) to assess the association of the morphologic abnormalities with prevalent radiographic hip osteoarthritis (OA) and hip pain.

Methods

Anteroposterior radiographs were obtained in 4140 subjects (mean age ± SD, 77 ± 5 years) from the Osteoporotic Fractures in Men study. We assessed each hip for cam, pincer, and mixed FAI types using validated radiographic definitions. Both intra- and interobserver reproducibility were > 0.9. Radiographic hip OA was assessed by an expert reader (intraobserver reproducibility, 0.7–0.8) using validated methods, and summary grades of 2 or greater (on a scale from 0 to 4) were used to define radiographic hip OA. Covariates including hip pain in the last 30 days were collected by questionnaires that were answered by all patients included in this report. Logistic regressions with generalized estimating equations were performed to evaluate the association of radiographic features of FAI and arthrosis.

Results

Pincer, cam, or mixed types of radiographic FAI had a prevalence of 57% (1748 of 3053), 29% (886 of 3053), and 14% (419 of 3053), respectively, in this group of older men. Both pincer and mixed types of FAI were associated with arthrosis but not with hip pain (odds ratio [OR], 1.63; 95% confidence interval [CI], 1.25–2.13; p < 0.001 for pincer and OR, 2.49; 95% CI, 1.65–3.76; p < 0.001 for mixed type). Patients with hips characterized by cam-type FAI had slightly reduced hip pain without the presence of arthrosis compared with hips without FAI (OR, 0.82; 95% CI, 0.68–0.99; p = 0.037). A center-edge angle > 39° and a caput-collum-diaphyseal angle < 125° were associated with arthrosis (OR, 1.53; 95% CI, 1.22–1.94; p < 0.001 and OR, 2.09; 95% CI, 1.24–3.51; p = 0.006, respectively), but not with hip pain (OR, 0.89; 95% CI, 0.77–1.03; p < 0.108 and OR, 0.99; 95% CI, 0.67–1.45; p = 0.945, respectively). An impingement angle < 70° was associated with less hip pain compared with hips with an impingement angle ≥ 70° (OR, 0.76; 95% CI, 0.61–0.95; p = 0.015).

Conclusions

FAI is common in older men and represents more of an anatomic variant rather than a symptomatic disease. This finding should raise questions on how age, activities, and this anatomic variant each contribute to result in symptomatic disease.

Level of Evidence

Level III, prognostic study.     

Perioperative factors predicting poor outcome in elderly patients following emergency general surgery: a multivariate regression analysis

Background

Older adults (≥ 65 yr) are the fastest growing population and are presenting in increasing numbers for acute surgical care. Emergency surgery is frequently life threatening for older patients. Our objective was to identify predictors of mortality and poor outcome among elderly patients undergoing emergency general surgery.

Methods

We conducted a retrospective cohort study of patients aged 65–80 years undergoing emergency general surgery between 2009 and 2010 at a tertiary care centre. Demographics, comorbidities, in-hospital complications, mortality and disposition characteristics of patients were collected. Logistic regression analysis was used to identify covariate-adjusted predictors of in-hospital mortality and discharge of patients home.

Results

Our analysis included 257 patients with a mean age of 72 years; 52% were men. In-hospital mortality was 12%. Mortality was associated with patients who had higher American Society of Anesthesiologists (ASA) class (odds ratio [OR] 3.85, 95% confidence interval [CI] 1.43–10.33, p = 0.008) and in-hospital complications (OR 1.93, 95% CI 1.32–2.83, p = 0.001). Nearly two-thirds of patients discharged home were younger (OR 0.92, 95% CI 0.85–0.99, p = 0.036), had lower ASA class (OR 0.45, 95% CI 0.27–0.74, p = 0.002) and fewer in-hospital complications (OR 0.69, 95% CI 0.53–0.90, p = 0.007).

Conclusion

American Society of Anesthesiologists class and in-hospital complications are perioperative predictors of mortality and disposition in the older surgical population. Understanding the predictors of poor outcome and the importance of preventing in-hospital complications in older patients will have important clinical utility in terms of preoperative counselling, improving health care and discharging patients home.     

Impact of hospital infections on patients outcomes undergoing cardiac surgery at Santa Casa de Misericórdia de Marília

Objective

this study aimed to determine the incidence of nosocomial infections, the risk factors and the impact of these infections on mortality among patients undergoing to cardiac surgery.

Methods

Retrospective cohort study of 2060 consecutive patients from 2006 to 2012 at the Santa Casa de Misericórdia de Marília.

Results

351 nosocomial infections were diagnosed (17%), 227 non-surgical infections and 124 surgical wound infections. Major infections were mediastinitis (2.0%), urinary tract infection (2.8%), pneumonia (2.3%), and bloodstream infection (1.7%). The in-hospital mortality was 6.4%. Independent variables associated with non-surgical infections were age > 60 years (OR 1.59, 95% CI 1.09 to 2.31), ICU stay > 2 days (OR 5, 49, 95% CI 2.98 to 10, 09), mechanical ventilation > 2 days (OR11, 93, 95% CI 6.1 to 23.08), use of urinary catheter > 3 days (OR 4.85 95% CI 2.95 -7.99). Non-surgical nosocomial infections were more frequent in patients with surgical wound infection (32.3% versus 7.2%, OR 6.1, 95% CI 4.03 to 9.24). Independent variables associated with mortality were age greater than 60 years (OR 2.0; 95% CI 1.4 to3.0), use of vasoactive drugs (OR 3.4, 95% CI 1.9 to 6, 0), insulin use (OR 1.8; 95% CI 1.2 to 2.8), surgical reintervention (OR 4.4; 95% CI 2.1 to 9.0) pneumonia (OR 4.3; 95% CI 2.1 to 8.9) and bloodstream infection (OR = 4.7, 95% CI 2.0 to 11.2).

Conclusion

Non-surgical hospital infections are common in patients undergoing cardiac surgery; they increase the chance of surgical wound infection and mortality.     

What Host Factors Affect Aseptic Loosening After THA and TKA?

Background

Aseptic loosening is the most common cause for revisions after lower-extremity total joint arthroplasties, however studies differ regarding the degree to which host factors influence loosening.

Questions/purpose

We performed a systematic review to determine which host factors play a role in the development of clinical and/or radiographic failure from aseptic loosening after (1) THA and (2) TKA.

Methods

Two searches on THA and TKA, respectively, using four electronic databases (EMBASE, CINAHL Plus, PubMed, and Scopus) were conducted. We identified a total of 209 reports that encompassed nine potential host factors affecting aseptic loosening. Inclusion criteria for consideration of scientific clinical reports were that 20 or more patients were involved, with more than 1-year followup, with at least three studies pertaining to each factor, and at least six of the Methodological Index for Non-randomized Studies criteria met, and with raw data for odds ratio (OR) calculations. Twenty-one studies (16 THA studies with 45,779 hips and five TKA studies with 288 knees, respectively) were used to calculate weighted OR and CIs (using the random effects theory) and study heterogeneity for four different host factors in THAs (male sex, high activity level, obesity defined as BMI ≥ 30 kg/m², and current or former tobacco use) and one factor in TKA (BMI ≥ 30 kg/m²), which were placed in a forest plot.

Results

For THA, male sex (OR, 1.39; 95% CI, 1.22–1.58; p = 0.001) and high activity level (University of California Los Angeles [UCLA] activity score ≥ 8 points; OR, 4.24; 95% CI, 2.46–7.31; p = 0.001) were associated with aseptic loosening. However, obesity (OR, 1.01; 95% CI, 0.73–1.40; p = 0.96), and tobacco use (OR, 1.96; 95% CI, 0.43–8.97; p = 0.39) were not associated with an increased risk of aseptic loosening after THA with the numbers available. For TKA, we found no host factors associated with loosening. In particular, obesity (BMI ≥ 30 kg/m²) was not associated with aseptic loosening with the numbers available (OR, 2.28; 95% CI, 0.60–8.62; p = 0.22).

Conclusions

Patients undergoing a lower-extremity total joint arthroplasty who engage in impact sports should be counseled regarding their potential increased risk of aseptic loosening; however, given the weak evidence available, we believe that higher-level studies are necessary to clearly define the risk factors, particularly with newer-generation constructs.

Level of Evidence

Level IV, therapeutic study.     

Predictors of stroke in patients undergoing cardiac surgery

Objective

To determine the risk factors related to the development of stroke in patients undergoing cardiac surgery.

Methods

A historical cohort study. We included 4626 patients aged > 18 years who underwent coronary artery bypass surgery, heart valve replacement surgery alone or heart valve surgery combined with coronary artery bypass grafting between January 1996 and December 2011. The relationship between risk predictors and stroke was assessed by logistic regression model with a significance level of 0.05.

Results

The incidence of stroke was 3% in the overall sample. After logistic regression, the following risk predictors for stroke were found: age 50-65 years (OR=2.11 - 95% CI 1.05-4.23 - P=0.036) and age >66 years (OR=3.22 - 95% CI 1.6-6.47 - P=0.001), urgent and emergency surgery (OR=2.03 - 95% CI 1.20-3.45 - P=0.008), aortic valve disease (OR=2.32 - 95% CI 1.18-4.56 - P=0.014), history of atrial fibrillation (OR=1.88 - 95% CI 1.05-3.34 - P=0.032), peripheral artery disease (OR=1.81 - 95% CI 1.13-2.92 - P=0.014), history of cerebrovascular disease (OR=3.42 - 95% CI 2.19-5.35 - P<0.001) and cardiopulmonary bypass time > 110 minutes (OR=1.71 - 95% CI 1.16-2.53 - P=0.007). Mortality was 31.9% in the stroke group and 8.5% in the control group (OR=5.06 - 95% CI 3.5-7.33 - P<0.001).

Conclusion

The study identified the following risk predictors for stroke after cardiac surgery: age, urgent and emergency surgery, aortic valve disease, history of atrial fibrillation, peripheral artery disease, history of cerebrovascular disease and cardiopulmonary bypass time > 110 minutes.     

Influence of delays to nonemergent colon cancer surgery on operative mortality,disease-specific survival and overall survival

Background

There has been minimal research on the influence of delays for cancer treatments on patient outcomes. We measured the influence of delays to nonemergent colon cancer surgery on operative mortality, disease-specific survival and overall survival.

Methods

We used the linked Surveillance, Epidemiology and End Results (SEER)-Medicare databases (1993–1996) to identify patients who underwent nonemergent colon cancer surgery. We assessed 2 time intervals: surgeon consult to hospital admission for surgery and first diagnostic test for colon cancer to hospital admission. Follow-up data were available to the end of 2003. We selected the time intervals to create patient groups with clinical relevance and they did not extend past 120 days.

Results

We identified 7989 patients who underwent nonemergent colon cancer surgery. Median delays from surgeon consult to admission and from first diagnostic test to admission were 7 and 17 days, respectively. The odds of operative mortality were similar if the consult-to-admission interval was 22 days or more versus 1–7 days (odds ratio [OR] 1.0, 95% confidence interval [CI] 0.6–1.8, p = 0.91) or if the test-to-admission interval was 43 days or more versus 1–14 days (OR 0.8, 95% CI 0.4–1.5, p = 0.51), respectively. For these same respective interval comparisons, disease-specific survival was not influenced by the consult-to-admission wait (hazard ratio [HR] 1.0, 95% CI 0.9–1.2, p = 0.91) or the test-to-admission wait (HR 1.0, 95% CI 0.8–1.1, p = 0.63). The risk of death was slightly greater if the consult-to-admission interval was 22 or more days versus 1–7 days (HR 1.1, 95% CI 1.0–1.2, p = 0.013) and if the test-to-admission interval was 43 days or more versus 1–14 days (HR 1.2, 95% CI 1.1–1.3, p = 0.003).

Conclusion

It is unlikely that delays to nonemergent colon cancer surgery longer than 3 weeks from initial surgical consult or longer than 6 weeks from first diagnostic test negatively impact operative mortality, disease-specific survival or overall survival.     

Is Laparoscopy a Risk Factor for Bile Duct Injury During Cholecystectomy?

Background and Objectives:

Previously, risk factors for bile duct injury have been identified as acute cholecystitis, male gender, older age, aberrant biliary anatomy, and laparoscopic cholecystectomy.

Methods:

A retrospective analysis of the Nationwide Inpatient Sample from 1998 to 2006 was performed with an inclusion criterion of cholecystectomy performed on hospital day 0 or 1. Patient- and hospital-level factors potentially associated with bile duct injury were examined by logistic regression.

Results:

A total of 377,424 cholecystectomy patients were identified. There were 1124 bile duct injuries (0.30%), with 177 (0.06%) in the laparoscopic cholecystectomy group and 947 (1.46%) in the open cholecystectomy group (P < .001). On multivariate analysis, significant risk factors for bile duct injury were male gender (odds ratio [OR], 1.21; 95% confidence interval [CI], 1.06–1.38; P = .006), age >60 years (OR, 2.23; 95% CI, 1.61–3.09; P < .001), and academic hospital status (OR, 1.37; 95% CI, 1.05–1.79; P = .02). Acute cholecystitis was associated with a lower risk of bile duct injury (OR, 0.67; 95% CI, 0.46–0.99; P = .044).

Conclusion:

Independent risk factors for bile duct injury included male gender, age >60 years, and academic hospital status. Laparoscopic cholecystectomy, obesity, insurance status, or hospital volume was not associated with an increased risk of bile duct injury.     

Are There Modifiable Risk Factors for Hospital Readmission After Total Hip Arthroplasty in a US Healthcare System?

Background

Although total hip arthroplasty (THA) is a successful procedure, 4% to 11% of patients who undergo THA are readmitted to the hospital. Prior studies have reported rates and risk factors of THA readmission but have been limited to single-center samples, administrative claims data, or Medicare patients. As a result, hospital readmission risk factors for a large proportion of patients undergoing THA are not fully understood.

Questions/purposes

(1) What is the incidence of hospital readmissions after primary THA and the reasons for readmission? (2) What are the risk factors for hospital readmissions in a large, integrated healthcare system using current perioperative care protocols?

Methods

The Kaiser Permanente (KP) Total Joint Replacement Registry (TJRR) was used to identify all patients with primary unilateral THAs registered between January 1, 2009, and December 31, 2011. The KPTJRR’s voluntary participation is 95%. A logistic regression model was used to study the relationship of risk factors (including patient, clinical, and system-related) and the likelihood of 30-day readmission. Readmissions were identified using electronic health and claims records to capture readmissions within and outside the system. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated. Of the 12,030 patients undergoing primary THAs included in the study, 59% (n = 7093) were women and average patient age was 66.5 years (± 10.7).

Results

There were 436 (3.6%) patients with hospital readmissions within 30 days of the index procedure. The most common reasons for readmission were infection and inflammatory reaction resulting from internal joint prosthetic (International Classification of Diseases, 9^th Revision, Clinical Modification [ICD-9-CM] 996.66, 7.0%); other postoperative infection (ICD-9-CM 998:59, 5.5%); unspecified septicemia (ICD-9-CM 038.9, 4.9%); and dislocation of a prosthetic joint (ICD-9-CM 996.42, 4.7%). In adjusted models, the following factors were associated with an increased likelihood of 30-day readmission: medical complications (OR, 2.80; 95% CI, 1.59-4.93); discharge to facilities other than home (OR, 1.89; 95% CI, 1.39–2.58); length of stay of 5 or more days (OR, 1.80; 95% CI, 1.22–2.65) versus 3 days; morbid obesity (OR, 1.74; 95% CI, 1.25–2.43); surgeries performed by high-volume surgeons compared with medium volume (OR, 1.53; 95% CI, 1.14–2.08); procedures at lower-volume (OR, 1.41; 95% CI, 1.07–1.85) and medium-volume hospitals (OR, 1.81; 95% CI, 1.20–2.72) compared with high-volume ones; sex (men: OR, 1.51; 95% CI, 1.18–1.92); obesity (OR, 1.32; 95% CI, 1.02–1.72); race (black: OR, 1.26; 95% CI, 1.02–1.57); increasing age (OR, 1.03; 95% CI, 1.01–1.04); and certain comorbidities (pulmonary circulation disease, chronic pulmonary disease, hypothyroidism, and psychoses).

Conclusions

The 30-day hospital readmission rate after primary THA was 3.6%. Modifiable factors, including obesity, comorbidities, medical complications, and system-related factors (hospital), have the potential to be addressed by improving the health of patients before this elective procedure, patient and family education and planning, and with the development of high-volume centers of excellence. Nonmodifiable factors such as age, sex, and race can be used to establish patient and family expectations regarding risk of readmission after THA. Contrary to other studies and the finding of increased hospital volume associated with lower risk of readmission, higher volume surgeons had a higher risk of patient readmission, which may be attributable to the referral patterns in our organization.

Level of Evidence

Level III, therapeutic study.

Electronic supplementary material

The online version of this article (doi:10.1007/s11999-015-4278-x) contains supplementary material, which is available to authorized users.     

Can the Surgical Apgar Score predict morbidity and mortality in general orthopaedic surgery?

Purpose

The Surgical Apgar Score (SAS) is a simple tally based on intra-operative heart rate, blood pressure and blood loss; it predicts 30-day major postoperative complications and mortality in different surgical fields, but no validation has been performed in general orthopaedic surgery.

Methods

A prospective assessment of the SAS in 723 consecutive patients undergoing major and intermediate orthopaedic procedures was performed in an 18-month period. The SAS was calculated immediately after surgery, and the occurrence of major complications or death was registered within a 30-day follow-up.

Results

Thirty-seven patients had ≥1 complication (5.12 %). The complication rate did not augment as the score decreased (SAS 9–10 = 6.56 %; SAS 7–8 = 2.62 %; SAS 5–6 = 7.21 %; SAS ≤4 = 10.2 %), the relative risk did not augment as the score decreased and the likelihood ratio did not increase with decreasing SAS values, except in the subgroup of patients undergoing spine surgery. The C-statistic was 0.59 (95 % confidence interval 0.48–0.69), a weak discriminatory value. Using a threshold of 7 to define high-risk and low-risk patients, the SAS allowed risk stratification only for spine surgery.

Conclusions

The SAS does not predict 30-day major complications and death in patients undergoing general orthopaedic surgery, but it is useful in the subgroup of patients undergoing spine surgery.     

One-year Patient-reported Outcomes After Arthroscopic Rotator Cuff Repair Do Not Correlate With Mild to Moderate Psychological Distress

Background

Patients with shoulder and rotator cuff pathology who exhibit greater levels of psychological distress report inferior preoperative self-assessments of pain and function. In several other areas of orthopaedics, higher levels of distress correlate with a higher likelihood of persistent pain and disability after recovery from surgery. To our knowledge, the relationship between psychological distress and outcomes after arthroscopic rotator cuff repair has not been similarly investigated.

Questions/purposes

(1) Are higher levels of preoperative psychological distress associated with differences in outcome scores (visual analog scale [VAS] for pain, Simple Shoulder Test, and American Shoulder and Elbow Surgeons score) 1 year after arthroscopic rotator cuff repair? (2) Are higher levels of preoperative psychological distress associated with less improvement in outcome scores (VAS for pain, Simple Shoulder Test, and American Shoulder and Elbow Surgeons score) 1 year after arthroscopic rotator cuff repair? (3) Does the prevalence of psychological distress in a population with full-thickness rotator cuff tears change when assessed preoperatively and 1 year after arthroscopic rotator cuff repair?

Methods

Eighty-five patients with full-thickness rotator cuff tears were prospectively enrolled; 70 patients (82%) were assessed at 1-year followup. During the study period, the three participating surgeons performed 269 rotator cuff repairs; in large part, the low overall rate of enrollment was related to two surgeons enrolling only two patients total in the initial 14 months of the study. Psychological distress was quantified using the Distress Risk Assessment Method questionnaire, and patients completed self-assessments including the VAS for pain, the Simple Shoulder Test, and the American Shoulder and Elbow Surgeons score preoperatively and 1 year after arthroscopic rotator cuff repair. Fifty of 85 patients (59%) had normal levels of distress, 26 of 85 (31%) had moderate levels of distress, and nine of 85 (11%) had severe levels of distress. Statistical models were used to assess the effect of psychological distress on patient self-assessment of shoulder pain and function at 1 year after surgery.

Results

With the numbers available, distressed patients were not different from nondistressed patients in terms of postoperative VAS for pain (1.9 [95% confidence interval {CI}, 1.0–2.8] versus 1.0 [95% CI, 0.5–1.4], p = 0.10), Simple Shoulder Test (9 [95% CI, 8.1–10.4] versus 11 [95% CI, 10.0–11.0], p = 0.06), or American Shoulder and Elbow Surgeons scores (80 [95% CI, 72–88] versus 88 [95% CI, 84–92], p = 0.08) 1 year after arthroscopic rotator cuff repair. With the numbers available, distressed patients also were not different from nondistressed patients in terms of the amount of improvement in scores between preoperative assessment and 1-year followup on the VAS for pain (3 [95% CI, 2.2–4.1] versus 2 [95% CI, 1.4–2.9], p = 0.10), Simple Shoulder Test (5.2 [95% CI, 3.7–6.6] versus 5.0 [95% CI, 4.2–5.8], p = 0.86), or American Shoulder and Elbow Surgeons scale (38 [95% CI, 29–47] versus 30 [95% CI, 25–36], p = 0.16). The prevalence of psychological distress in our patient population was lower at 1 year after surgery 14 of 70 (20%) versus 35 of 85 (41%) preoperatively (odds ratio, 0.36; 95% CI, 0.17–0.74; p = 0.005).

Conclusions

Mild to moderate levels of distress did not diminish patient-reported outcomes to a clinically important degree in this small series of patients with rotator cuff tears. This contrasts with reports from other areas of orthopaedic surgery and may be related to a more self-limited course of symptoms in patients with rotator cuff disease or possibly to a beneficial effect of rotator cuff repair on sleep quality or other unrecognized determinants of psychosocial status.

Level of Evidence

Level I, prognostic study.     

Meta-analysis of retrojugular versus antejugular approach for carotid endarterectomy

Introduction

The retrojugular approach for carotid endarterectomy (CEA) has been reported to have the advantages of shorter operative time and ease of dissection, especially in high carotid lesions. Controversial opinion exists with regard to its safety and benefits over the conventional antejugular approach.

Methods

A systematic review of electronic information sources was conducted to identify studies comparing outcomes of CEA performed with the retrojugular and antejugular approach. Synthesis of summary statistics was undertaken and fixed or random effects models were applied to combine outcome data.

Findings

A total of 6 studies reporting on a total of 740 CEAs (retrojugular approach: 333 patients; antejugular approach: 407 patients) entered our meta-analysis models. The retrojugular approach was found to be associated with a higher incidence of laryngeal nerve damage (odds ratio [OR]: 3.21, 95% confidence interval [CI]: 1.46–7.07). No significant differences in the incidence of hypoglossal or accessory nerve damage were identified between the retrojugular and antejugular approach groups (OR: 1.09 and 11.51, 95% CI: 0.31–3.80 and 0.59–225.43). Cranial nerve damage persisting during the follow-up period was similar between the groups (OR: 2.96, 95% CI: 0.79–11.13). Perioperative stroke and mortality rates did not differ in patients treated with the retrojugular or antejugular approach (OR: 1.26 and 1.28, 95% CI: 0.31–5.21 and 0.25–6.50).

Conclusions

Currently, there is no conclusive evidence to favour one approach over the other. Proof from a well designed randomised trial would help determine the role and benefits of the retrojugular approach in CEA.     

Not all total joint replacement patients are created equal: preoperative factors and length of stay in hospital

Background

We conducted a cross-sectional study of primary total joint replacement (TJR) patients to determine predictors for prolonged length of stay (LOS) in hospital to identify patient characteristics that may inform resource allocation, accounting for patient complexity.

Methods

Preoperative demographics, medical comorbidities and acute hospital LOS from a consecutive series of primary TJR patients from an academic arthroplasty centre were abstracted. We categorized patients as LOS of 3 or fewer days, 4 days, or 5 or more days to align results with varying LOS benchmarks. To identify predictors for LOS, we used a generalized logistic regression model fitted on an LOS ternary outcome, using LOS of 3 or fewer days as a reference category.

Results

The sample included 1459 patients: 61.7% total knee and 38.3% total hip. Male sex was predictive of an LOS of 3 or fewer days (4 d: odds ratio [OR] 0.48, 95% confidence interval [CI] 0.364–0.631; ≥ 5 d: OR 0.57, 95% CI 0.435–0.758), as was current smoking status (4 d: OR 0.425, 95% CI 0.274–0.659; ≥ 5 d: OR 0.489, 95% CI 0.314–0.762). Strong predictors of prolonged LOS included total hip versus total knee arthroplasty, age 75 years or older, American Society of Anesthesiologists classification of 3 and 4 and number of cardiovascular comorbidities.

Conclusion

Not all patients undergoing TJR are equal. The goal should be individual patient-focused care rather than a predetermined LOS that is not achievable for all patients. Hospital resource planning must account for patient complexity when planning future bed management.