A 52-Year-Old Woman with Weakness and Confusion.

A 52-Year-Old Woman with Weakness and ConfusionA 52-year-old woman presented for evaluation of abdominal pain, weakness, and confusion. How do you approach the evaluation, and what is the diagnosis?

The Slip and Fall Index: Assessing the risk of slipping and falling on ice.

OBJECTIVES: Canadians are at an increased risk of outdoor slip and fall accidents during periods of ice and snow. The aim of this study was to create an index to alert the public of slippery outdoor conditions and promote pedestrian safety. METHODS: Emergency department (ED) presentations from the four adult hospitals in Calgary, Alberta, Canada, over an 11-year period (January 2008‒December 2018) were extracted and filtered using the ICD-10 code W00 (fall due to ice and snow). Multivariable dispersion-corrected Poisson regression models were used to determine the variables most predictive of these presentations. Month of year, the presence of ice, snow on ground (per 10 cm), and interactions between ice and snow, all up to 3 days prior, were used to create the Slip and Fall Index (SFI). RESULTS: The dataset included 14,977 slip and fall on ice/snow ED presentations. Females (57.36%, n = 8591) accounted for more presentations than males (42.64%, n = 6386). All months had a significant effect, either being predictive or protective of slip and falls on ice/snow. Current-day ice, snow on ground, and ice up to 3 days prior were predictive of increased presentations. Month and measurements of ice and snow can be input into the SFI, which generates the level of daily risk. CONCLUSION: The SFI is the first Canadian index with the purpose of measuring the risk of having a slip and fall accident on ice/snow.

RéSUMé: OBJECTIFS: Les Canadiennes et les Canadiens courent un risque accru de glissades et de chutes accidentelles à l'extérieur en période de glace et de neige. Notre étude visait à créer un indice pour avertir le public des conditions glissantes à l'extérieur et promouvoir la sécurité des piétons. MéTHODE: Les visites aux services des urgences (SU) des quatre hôpitaux pour adultes de Calgary (Alberta), au Canada, sur une période de 11 ans (janvier 2008‒décembre 2018) ont été extraites et filtrées à l'aide du code W00 (chute due à la glace et à la neige) de la CIM-10. Nous avons utilisé des modèles de régression de Poisson multivariés avec correction de la surdispersion pour déterminer les variables les plus susceptibles de prédire ces visites. Le mois de l'année, la présence de glace ou de neige au sol (par tranche de 10 cm) et les interactions entre la glace et la neige, tout cela au cours des trois jours précédents, ont servi à créer notre « indice des glissades et des chutes ¼ (IGC). RéSULTATS: Le jeu de données comprenait 14 977 visites aux SU en raison de glissades et de chutes sur la glace ou la neige. Les femmes (57,36%, n = 8 591) ont effectué plus de visites que les hommes (42,64%, n = 6 386). Tous les mois avaient un effet significatif, que ce soit comme variable prédictive ou préventive des glissades et des chutes sur la glace ou la neige. La présence de glace ou de neige au sol le jour même, et la présence de glace jusqu'à trois jours avant, ont permis de prédire les hausses des visites. Le mois et la hauteur de la glace et de la neige peuvent être saisis dans l'IGC, ce qui génère le niveau de risque quotidien. CONCLUSION: L'IGC est le premier indice canadien qui mesure le risque de glissades et de chutes accidentelles sur la glace ou la neige.

FROST 2.0: Factors Predicting Orthopaedic Trauma Volumes - A Validation Study.

The anecdotal relationship between weather, season, and orthopaedic trauma volumes is understood by patients and healthcare providers: when the winter ground is icy, people fall. Previous research established that winter and summer months as well as ice and snow were significant predictors of orthopaedic trauma and surges in volumes. The current study validates the previously established predictive model in one Canadian city; the original methods were repeated using a new, yet geographically similar dataset. The effect of month and ice were consistent, which suggests the proposed model has sufficient external validity to guide resource allocation and primary prevention strategies.

Trends in implementation of evidence-based hip fracture management in a major Canadian city.

Aims: The importance of hip fracture care has resulted in an abundance of hip fracture management literature. The degree this evidence is incorporated into clinical practice is unknown. We examined 5 trends in hip fracture management: arthroplasty versus fixation, total hip arthroplasty (THA) versus hemiarthroplasty (HA), cemented versus uncemented femoral stem fixation, short versus long cephalomedullary nail (CMN) fixation, and time from admission to surgery. Our primary aim was to understand and assess hip fracture management trends in relation to pertinent literature. Methods: Data were collected from acute hip fractures in patients aged 50 years or older who presented from 2008 to 2018. ICD-10 diagnostic codes were assigned using preoperative radiographs. Surgical management was confirmed using intraoperative and postoperative radiographs and split into 6 categories: (1) short CMN, (2) long CMN, (3) cannulated screws, (4) dynamic hip screw, (5) HA, and (6) THA. Appropriate statistical tests were used to analyze trends. Results: In 4 assessed trends, hip fracture management aligned with high-level evidence. This was the case for a trend toward arthroplasty for displaced femoral neck fractures, increased use of THA relative to HA, increased use of short relative to long CMNs, and consistent decrease in surgical wait times. Despite the literature highlighting the disadvantages of uncemented femoral stems, our data demonstrated increased use of uncemented femoral stems. Conclusion: Evidence to guide orthopaedic practice is constantly emerging but may not be effectively used by clinicians. Our findings demonstrate the successes and failures of integrating evidence into hip fracture management and highlight that orthopaedic surgeons have an ongoing responsibility to strive for evidence-based practice.

Risk Factors for Complications in Ulnar Shortening Osteotomies: A Multicenter Retrospective Review.

PURPOSE: Ulnar shortening osteotomy (USO) is commonly performed to alleviate pathologies causing ulnar-sided wrist pain. Surgical complications include nonunion and hardware removal, with rates up to 18% and 45%, respectively. The primary objective of the study was to report the overall complication rate of USO. The secondary objective was to identify risk factors for complications. METHODS: A retrospective multicenter cohort review was undertaken, including six Canadian cities over a 6-year period (January 2013-December 2018). Chart review was used to collect demographic data, surgical technique, implant used, and postoperative complications. Descriptive statistics of demographics and operative characteristics, including plate positioning, type of osteotomy, plate type, and ulnar variance (mm), were analyzed. Univariate analyses were used to select predictor variables for nonunion and hardware removal. These predictor variables were then entered into an adjusted multivariable logistic regression model. RESULTS: A total of 361 USOs were performed. Mean age was 46 ± 16 years (60.7% men). The overall complication rate was 37.1%, hardware removal rate was 29.6%, and nonunion rate was 9.4%. There was a workers' compensation claim associated with 21.6% of all complications, and it was a risk factor for both hardware removal (odds ratio [OR] = 3.81) and nonunion (OR = 2.88). Neither smoking nor diabetes was associated with complication rates. Seventy percent of plates were placed volarly, 25.5% dorsally, and 3.9% directly ulnar. Osteotomies were oblique in 83.7% of cases and transverse in 15.5%. Adjusted multivariate regression analysis revealed that younger age (OR = 0.98) was a risk factor for hardware removal and male sex (OR = 2.49) was a risk factor for nonunion. A surgical factor associated with hardware removal was direct ulnar plate placement (OR = 9.93). No surgical factors were associated with nonunions. CONCLUSIONS: There are substantial rates of complications with USOs. Direct ulnar plate placement should be avoided. Patients should be thoroughly counseled on the risks of complications prior to proceeding with USO. LEVEL OF EVIDENCE: Therapeutic IV.

Orthopaedic trauma on the weekend: Longer surgical wait times, and increased after-hours surgery.

INTRODUCTION: Orthopaedic trauma does not present in a linear fashion. Fluctuations in trauma volumes, after-hours surgery and surgical wait times impact orthopaedic surgeons and patients. There is little research focussing on how surgical trauma volumes change throughout the week. This study investigated the relationship between day of the week and surgical orthopaedic trauma volumes, after-hours surgery, and wait times for orthopaedic trauma patients. METHODS: All unscheduled surgical orthopaedic trauma cases presenting to one level I and three level IV urban adult trauma centers between 2008 and 2018 were retrospectively reviewed. Fluctuations in orthopaedic trauma volumes and amount of after-hours surgeries completed were investigated using Multivariable Poisson regression. Fluctuations in patient wait times were investigated using linear regression. RESULTS: Weekends were associated with increased surgical wait times (8.9%, p<0.001) despite decreased surgical trauma volumes (9.1%, p<0.001). Surgical orthopaedic trauma volumes were elevated on weekdays and decreased on weekends. More after-hours surgeries were performed from Thursday to Saturday with most performed on Friday night (26.6%, p<0.001). Surgical wait times increased midweek and remained high until Saturday. CONCLUSION: With a lack of dedicated trauma resources on the weekend, a significant increase in after-hours surgery and surgical wait times was identified following surgical volumes peaking on Thursday and Friday. We suggest adapting resource allocation to reflect surgical volumes. Dedicated weekend orthopaedic trauma resources or an adaptable schedule during increased orthopaedic trauma have the potential to ease this bottleneck, improve patient care, and decrease hospital costs.

COVID-19 orthopaedic trauma volumes: a Canadian experience during lockdown and staged reopening.

OBJECTIVES: The aim of this study is to report the impact of public health measures (PHM), including their relaxation, on surgical orthopaedic trauma volumes. We hypothesize an initial reduction in orthopaedic trauma volumes during lockdown followed by a surge as Stages 1 and 2 of reopening progressed in Summer 2020. METHODS: All unscheduled surgical orthopaedic trauma cases from March through August were retrospectively reviewed in Calgary, Alberta, Canada, from 2008 to 2020. Trauma volumes from 2008 to 2019 were used to model expected 2020 volumes, and multivariable Poisson regression was used to determine the effect of PHM on orthopaedic trauma volumes. RESULTS: A total of 22,331 trauma orthopaedic surgeries were included. During lockdown, there was a significant decrease in trauma volume compared with expected (-14.2%, -25.7 to -10.5%, P < .001) and there were significantly fewer ankle fractures (-17.8%, -30.9 to -2.2%, P = .027). During reopening Stage 2, there was a significant increase in trauma volume (+8.9%, +2.2 to +16.1%, P = .009). There was no change in the incidence of polytrauma, hip fracture, or wrist fracture during the pandemic. CONCLUSIONS: This study provides the first report of a surge in trauma volumes as PHM are relaxed during the COVID-19 pandemic. The ability to predict decreases in trauma volumes with strict PHM and subsequent surges with reopening can help inform operating room time management and staffing in future waves of COVID-19 or infectious disease pandemics. LEVEL OF EVIDENCE: Prognostic - Level III.

FROST: Factors Predicting Orthopaedic Trauma Volumes.

INTRODUCTION: Orthopaedic surgeons often speculate weather and season impact the nature and volume of surgical trauma. Little evidence exists to support this. We aimed to identify the relationship between weather conditions, time of year, surgical orthopaedic trauma volumes, after-hours surgery, and surgical wait times. METHODS: Unscheduled surgical orthopaedic cases were retrospectively reviewed at major adult hospitals in Calgary, Alberta, Canada, over an eleven-year period (2008-2018). Weather variables were gathered and a predictive model for ice was generated. Multivariable Poisson regression was used to determine the effect of weather and time of year on orthopaedic trauma volumes and after-hours surgery. Linear regression was used to investigate surgical wait times. RESULTS: 41,421 unscheduled orthopaedic trauma surgeries were analyzed against daily weather patterns. 49% of all surgery performed was for hip (26.4%) or ankle fractures (22.6%). Same day snow (p=0.002) and ice for two days prior (p=0.031; p=0.003) were significantly associated with increased overall trauma volumes. Same day snow (p<0.001) and ice (p=0.002), as well as ice two days prior (p=0.001), predicted a significant increase in ankle fracture volumes. There was no correlation between weather patterns and hip fracture volumes. Independent of weather, time of year was highly predictive of large swings in orthopaedic trauma volumes and increased wait times. Generally, when patient volumes increased so did after-hours surgery. CONCLUSION: Winter and summer months as well as ice and daily snow contributed to the most significant increases in overall orthopaedic trauma volumes. On a snowy day in February with ice present for three consecutive days, trauma volumes increased as much as 71%. Despite this, resources dedicated to orthopaedic trauma are consistent throughout the year, which highlights the need to allocate resources for orthopaedic trauma surgery based on seasonal demands. We suggest our predictive model be used to guide the amount of operating room time reserved for orthopaedic trauma to better reflect expected volumes. This contrasts the current system which relies on after-hours surgeries and increased patient wait-times to compensate for increased orthopaedic trauma volumes. Since orthopaedic trauma can be predicted by weather patterns, interventions should aim to decrease weather-related orthopaedic trauma and reduce the burden prolonged wait times have on our system.