The weekend effect for hip fracture surgery.

INTRODUCTION: Increased mortality rates have been reported for emergency admissions during weekends and outside office hours. Research on the weekend effect in hip fracture patients is however limited and demonstrates conflicting results. The aim of this study was to determine the effect of weekend admission and weekend surgery on 30-day and 1-year mortality following hip fracture surgery. PATIENTS AND METHODS: All patients who underwent hip fracture surgery in our hospital between 2004 and 2015 were included in this retrospective study. Patient characteristics including age, gender, fracture type, American Society of Anesthesiologists (ASA) score, Nottingham Hip Fracture Score (NHFS), Charlson Comorbidity Index (CCI) and length of stay were collected. Information on admission and surgery date and time of day was recorded, as were in-hospital, 30-day and 1-year mortality. Multivariable logistic regression analysis was performed to identify independent predictors of 30-day and 1-year mortality. RESULTS: A total of 1803 patients were included, 546 patients (30.3%) were admitted during the weekend. Patient characteristics did not differ between weekday and weekend admissions. Surgical delay was less frequent in patients undergoing weekend surgery. Multivariable analysis demonstrated that older age, higher ASA score, higher NHFS and increased surgical delay were independently associated with 30-day mortality. One-year mortality was associated with age, gender, ASA score, CCI and surgical delay. Weekend admission and weekend surgery were not associated with increased 30-day or 1-year mortality. CONCLUSIONS: There was no weekend effect for hip fracture patients in our study. These results indicate an adequate level of perioperative care outside weekday office hours within our health care system.

Do-not-resuscitate orders and early mortality in hip fracture patients.

Background: factors affecting mortality after hip fracture surgery have been studied extensively. It has been suggested that do-not-resuscitate (DNR) orders are associated with higher mortality in surgical patients due to less aggressive treatment. However, the effect of DNR orders on mortality in hip fracture patients is unknown. The objective of this study was to investigate the effect of DNR orders on early mortality after hip fracture surgery. Methods: all patients undergoing hip fracture surgery between 2004 and 2015 were included in this retrospective study. Patient characteristics such as age, comorbidities and fracture type were collected, as were resuscitation preferences. Multivariable logistic regression analysis was performed to identify independent risk factors for early mortality. Results: a total of 1,803 patients were analysed, of which 823 (45.6%) had DNR orders. DNR patients were older, more often female, had lower haemoglobin levels and more comorbidities when compared with non-DNR patients. The unadjusted effect of DNR orders on mortality was high (OR: 2.39; P < 0.001). Multivariable analysis demonstrated that increased age, male gender, higher American Society of Anesthesiologists score, low admission haemoglobin, living in an institution, high Charlson Comorbidity Index and delay to surgery were associated with increased early mortality after hip fracture surgery. There was no independent effect of DNR orders on mortality after adjustment for these variables (P = 0.735). Conclusions: DNR patients have higher mortality rates due to poor health status. Resuscitation preferences on their own are not associated with early mortality after hip fracture surgery.

Trauma surgery by general surgeons: Still an option for proximal femoral fractures?

INTRODUCTION: Surgery for proximal femoral fractures in the Netherlands is performed by trauma surgeons, general surgeons and orthopaedic surgeons. The aim of this study was to assess whether there is a difference in outcome for patients with proximal femoral fractures operated by trauma surgeons versus general surgeons. Secondly, the relation between hospital and surgeon volume and postoperative complications was explored. METHODS: Patients of 18 years and older were included if operated for a proximal femoral fracture by a trauma surgeon or a general surgeon in two academic, eight teaching and two non-teaching hospitals in the Netherlands from January 2010 until December 2013. The combined endpoint was defined as reoperation or surgical site infection. Multivariate analysis was used to adjust for patient and fracture characteristics and hospital and surgeon volume. Categories for hospital volume were>170/year (high volume), 96-170/year (medium volume) and <96/year (low volume). RESULTS: In 4552 included patients 2382 (52.3%) had surgery by a trauma surgeon. Postoperative complications occurred in 276 (11.6%) patients operated by a trauma surgeon and in 258 (11.9%) operated by a general surgeon (p=0.751). When considering confounders in a multivariate analysis, surgery by trauma surgeons was associated with less postoperative complications (OR 0.746; 95%CI 0.580-0.958; p=0.022). Surgery in high volume hospitals was also associated with less complications (OR 0.997; 95%CI 0.995-0.999; p=0.012). Surgeon volume was not associated with complications (OR 1.008; 95%CI 0.997-1.018; p=0.175). CONCLUSION: Surgery by trauma surgeons and high hospital volume are associated with less reoperations and surgical site infections for patients with proximal femoral fractures.

[The Amsterdam wrist rules: the multicenter prospective derivation and external validation of a clinical decision rule for the use of radiography in acute wrist trauma]. / De Amsterdam Wrist Rules: Een klinische beslisregel voor polstrauma op de SEH.

BACKGROUND: Although only 39% of patients with wrist trauma have sustained a fracture, the majority of patients is routinely referred for radiography. The purpose of this study was to derive and externally validate a clinical decision rule that selects patients with acute wrist trauma in the Emergency Department (ED) for radiography. METHOD: This multicenter prospective study consisted of three components: (1) derivation of a clinical prediction model for detecting wrist fractures in patients following wrist trauma; (2) external validation of this model; and (3) design of a clinical decision rule. The study was conducted in the EDs of five Dutch hospitals: one academic hospital (derivation cohort) and four regional hospitals (external validation cohort). We included all adult patients with acute wrist trauma. The main outcome was fracture of the wrist (distal radius, distal ulna or carpal bones) diagnosed on conventional X-rays. RESULTS: A total of 882 patients were analyzed; 487 in the derivation cohort and 395 in the validation cohort. We derived a clinical prediction model with eight variables: age; sex, swelling of the wrist; swelling of the anatomical snuffbox, visible deformation; distal radius tender to palpation; pain on radial deviation and painful axial compression of the thumb. The Area Under the Curve at external validation of this model was 0.81 (95% CI: 0.77-0.85). The sensitivity and specificity of the Amsterdam Wrist Rules (AWR) in the external validation cohort were 98% (95% CI: 95-99%) and 21% (95% CI: 15%-28). The negative predictive value was 90% (95% CI: 81-99%). CONCLUSION: The Amsterdam Wrist Rules is a clinical prediction rule with a high sensitivity and negative predictive value for fractures of the wrist. Although external validation showed low specificity and 100 % sensitivity could not be achieved, the Amsterdam Wrist Rules can provide physicians in the Emergency Department with a useful screening tool to select patients with acute wrist trauma for radiography. The upcoming implementation study will further reveal the impact of the Amsterdam Wrist Rules on the anticipated reduction of X-rays requested, missed fractures, Emergency Department waiting times and health care costs.

A clinical decision rule for the use of plain radiography in children after acute wrist injury: development and external validation of the Amsterdam Pediatric Wrist Rules.

BACKGROUND: In most hospitals, children with acute wrist trauma are routinely referred for radiography. OBJECTIVE: To develop and validate a clinical decision rule to decide whether radiography in children with wrist trauma is required. MATERIALS AND METHODS: We prospectively developed and validated a clinical decision rule in two study populations. All children who presented in the emergency department of four hospitals with pain following wrist trauma were included and evaluated for 18 clinical variables. The outcome was a wrist fracture diagnosed by plain radiography. RESULTS: Included in the study were 787 children. The prediction model consisted of six variables: age, swelling of the distal radius, visible deformation, distal radius tender to palpation, anatomical snuffbox tender to palpation, and painful or abnormal supination. The model showed an area under the receiver operator characteristics curve of 0.79 (95% CI: 0.76-0.83). The sensitivity and specificity were 95.9% and 37.3%, respectively. The use of this model would have resulted in a 22% absolute reduction of radiographic examinations. In a validation study, 7/170 fractures (4.1%, 95% CI: 1.7-8.3%) would have been missed using the decision model. CONCLUSION: The decision model may be a valuable tool to decide whether radiography in children after wrist trauma is required.

The Amsterdam wrist rules: the multicenter prospective derivation and external validation of a clinical decision rule for the use of radiography in acute wrist trauma.

BACKGROUND: Although only 39 % of patients with wrist trauma have sustained a fracture, the majority of patients is routinely referred for radiography. The purpose of this study was to derive and externally validate a clinical decision rule that selects patients with acute wrist trauma in the Emergency Department (ED) for radiography. METHODS: This multicenter prospective study consisted of three components: (1) derivation of a clinical prediction model for detecting wrist fractures in patients following wrist trauma; (2) external validation of this model; and (3) design of a clinical decision rule. The study was conducted in the EDs of five Dutch hospitals: one academic hospital (derivation cohort) and four regional hospitals (external validation cohort). We included all adult patients with acute wrist trauma. The main outcome was fracture of the wrist (distal radius, distal ulna or carpal bones) diagnosed on conventional X-rays. RESULTS: A total of 882 patients were analyzed; 487 in the derivation cohort and 395 in the validation cohort. We derived a clinical prediction model with eight variables: age; sex, swelling of the wrist; swelling of the anatomical snuffbox, visible deformation; distal radius tender to palpation; pain on radial deviation and painful axial compression of the thumb. The Area Under the Curve at external validation of this model was 0.81 (95 % CI: 0.77-0.85). The sensitivity and specificity of the Amsterdam Wrist Rules (AWR) in the external validation cohort were 98 % (95 % CI: 95-99 %) and 21 % (95 % CI: 15 %-28). The negative predictive value was 90 % (95 % CI: 81-99 %). CONCLUSIONS: The Amsterdam Wrist Rules is a clinical prediction rule with a high sensitivity and negative predictive value for fractures of the wrist. Although external validation showed low specificity and 100 % sensitivity could not be achieved, the Amsterdam Wrist Rules can provide physicians in the Emergency Department with a useful screening tool to select patients with acute wrist trauma for radiography. The upcoming implementation study will further reveal the impact of the Amsterdam Wrist Rules on the anticipated reduction of X-rays requested, missed fractures, Emergency Department waiting times and health care costs. TRIAL REGISTRATION: This study was registered in the Dutch Trial Registry, reference number NTR2544 on October 1(st), 2010.

Predicting 30-day mortality following hip fracture surgery: evaluation of six risk prediction models.

INTRODUCTION: While predictors for mortality after hip fracture surgery have been widely studied, research regarding risk prediction models is limited. Risk models can predict mortality for individual patients, provide insight in prognosis, and be valuable in surgical audits. Existing models have not been validated independently. The purpose of this study is to evaluate the performance of existing risk models for predicting 30-day mortality following hip fracture surgery. PATIENTS AND METHODS: In this retrospective study, all consecutive hip fracture patients admitted between 2004 and 2010 were included. Predicted mortality was calculated for individual patients and compared to the observed outcome. The discriminative performance of the models was assessed using the area under the receiver operating characteristic curve (AUC). Calibration was analysed with the Hosmer-Lemeshow goodness-of-fit test. RESULTS: A literature search yielded six risk prediction models: the Charlson Comorbidity Index (CCI), Orthopaedic Physiologic and Operative Severity Score for the enUmeration of Mortality and Morbidity (O-POSSUM), Estimation of Physiologic Ability and Surgical Stress (E-PASS), a risk model by Jiang et al., the Nottingham Hip Fracture Score (NHFS), and a model by Holt et al. The latter three models were specifically designed for the hip fracture population. All models except the O-POSSUM achieved an AUC greater than 0.70, demonstrating acceptable discriminative power. The score by Jiang et al. performed best with an AUC of 0.78, this was however not significantly different from the NHFS (0.77) or the model by Holt et al. (0.76). When applying the Hosmer-Lemeshow goodness-of-fit test, the model by Holt et al., the NHFS and the model by Jiang et al. showed a significant lack of fit (p<0.05). The CCI, O-POSSUM and E-PASS did not demonstrate lack of calibration. DISCUSSION: None of the existing models yielded excellent discrimination (AUC>0.80). The best discrimination was demonstrated by the models designed for the hip fracture population, however, they had a lack of fit. The NHFS shows most promising results, with reasonable discrimination and extensive validation in earlier studies. Additional research is needed to examine recalibration and to determine the best risk model for predicting early mortality following hip fracture surgery.

Spontaneous expulsion of a screw during urination: an unusual complication 9 years after internal fixation of pubic symphysis diastasis.

Nine years after treatment of symphysiolysis and dislocation of the left sacroiliac joint, a screw was spontaneously voided during urination. Unstable plate fixation of the symphysis pubis probably caused screw migration into the bladder, creating a fistula with abscess formation and septic complications.

Results of ankle fractures with involvement of the posterior tibial margin.

BACKGROUND: Ankle fractures have a significantly worse functional outcome when they include a posterior tibial fragment. In 57 trimalleolar fractures, the effect of size, internal fixation, and anatomic reduction of the posterior fragment on the prognosis was evaluated. METHODS: A modified Weber protocol was used, providing a rating system for subjective, objective, and radiographic results. A visual analogue scale for subjective actual pain was also scored. RESULTS: The involvement of the articular surface ranged from 8% to 55%. Size or fixation of the fragment did not influence prognosis. Joint congruity in fragments >or= 10% of the articular surface was a significant factor influencing prognosis. Overall, the modified Weber protocol result was excellent in 10%, good in 15%, fair in 25%, and poor in 50% of patients. However, the low average visual analogue scale of 3.0 in the whole group does not appear representative of 50% poor results, indicating that the modified Weber protocol is fairly strict and overestimates the number of poor results. CONCLUSION: Joint congruity with or without fixation was a significant factor influencing prognosis. Congruity should be achieved for fragments >or= 10% of the tibial articular surface.