Rapid response team integration at a quaternary care academic centre: new paradigm for critical care organistions.

BACKGROUND: Decompensating patients require expeditious and focused care at the bedside. This can be particularly challenging when there are multiple layers of providers, each with differing specialisation, experience and autonomy. We examined the impact of our intensivist-driven hospital-wide rapid response team (RRT) at our 1171-bed quaternary care centre. DESIGN: Single-centre retrospective cohort study. METHODS: RRT service was implemented to assess, manage and triage acutely ill patients outside the intensive care unit (ICU). Criteria for consultation and workflow were established. The 24/7 team was led by an intensivist and included nurse practitioners and respiratory therapists. Over 3 years, we reviewed the impact of the RRT on patient outcomes and critical care support beyond the ICU. RESULTS: Over 3 years, the RRT received 31 392 consults for 12 122 individual patients averaging 30 consults over 24 hours. 58.9% of the calls received were for sepsis alerts/risk of decompensation and 41.1% of the consults were for reasons of acute decompensation. Among patients that were seen by the RRT, over the course of their hospital stay, 14% were upgraded to a step-down unit, 18% were upgraded to the ICU and 68% completed care without requiring any escalation. The average mortality rate for patients seen by the RRT service during their hospital stay was 11.3% with an average 30-day readmission rate of 16.5% and average hospital length of stay 16 days without significant variation between the 3 years. CONCLUSIONS: Intensivist-led RRT ensured consistent high value care. Early intervention and consistent supervision enabled timely and efficient delivery of critical care services.

MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model.

Early detection of patients at risk for clinical deterioration is crucial for timely intervention. Traditional detection systems rely on a limited set of variables and are unable to predict the time of decline. We describe a machine learning model called MEWS++ that enables the identification of patients at risk of escalation of care or death six hours prior to the event. A retrospective single-center cohort study was conducted from July 2011 to July 2017 of adult (age > 18) inpatients excluding psychiatric, parturient, and hospice patients. Three machine learning models were trained and tested: random forest (RF), linear support vector machine, and logistic regression. We compared the models' performance to the traditional Modified Early Warning Score (MEWS) using sensitivity, specificity, and Area Under the Curve for Receiver Operating Characteristic (AUC-ROC) and Precision-Recall curves (AUC-PR). The primary outcome was escalation of care from a floor bed to an intensive care or step-down unit, or death, within 6 h. A total of 96,645 patients with 157,984 hospital encounters and 244,343 bed movements were included. Overall rate of escalation or death was 3.4%. The RF model had the best performance with sensitivity 81.6%, specificity 75.5%, AUC-ROC of 0.85, and AUC-PR of 0.37. Compared to traditional MEWS, sensitivity increased 37%, specificity increased 11%, and AUC-ROC increased 14%. This study found that using machine learning and readily available clinical data, clinical deterioration or death can be predicted 6 h prior to the event. The model we developed can warn of patient deterioration hours before the event, thus helping make timely clinical decisions.

A quality assurance investigation of CLABSI events: are there exceptions to never?

BACKGROUND: In the USA, central line associated blood stream infections (CLABSIs) have been designated as 'never events', prompting initiatives towards a 'zero CLABSIs' standard. We propose that there are cascading risk factors predisposing certain patient cohorts to higher CLABSIs rates. METHODS: A retrospective review of all CLABSI infections over a 12-month period was undertaken. Risk factors examined included catheter type, insertion site and parenteral nutrition (PN) status. Additional factors analysed included acute kidney injury (AKI), chronic kidney disease (CKD) and hospital-acquired infections (HAIs). RESULTS: Thirty-four CLABSIs were identified in 33 adult patients (median age = 57 years). Temporary central venous catheters accounted for 12 (35%), peripherally inserted central catheters for five (14.7%), and permanent catheters for 17 CLABSIs (50%); the median duration from insertion was 15 days (interquartile range = 9-26). Among patient factors, immunosuppression and hyperglycaemia were the most common (n = 19, 55%), followed by PN and CKD (n = 17, 50.0%), AKI (n = 16, 47.1%) and HAIs (n = 13, 38.2%). A majority of patients with CLABSIs (n = 20 58.8%) had at least three risk factors. DISCUSSION: These findings reflect the complexity of CLABSIs with multiple patient and hospital factors influencing incidence. It suggests the need for further studies to re-calibrate the zero CLABSI model towards one with greater relevance.

The management of complex periprosthetic humeral fractures: a case series of strut allograft augmentation, and a review of the literature.

There is little published discussion on the management of postoperative periprosthetic humeral fractures where rotator cuff function is poor, the bone stock is dwindling or both. This is a phenomenon increasingly seen in the older, more osteoporotic population and presents an interesting challenge especially in when faced with these patients with poor bone quality. We present the treatment of three fractures with the use of long-stem reverse geometry arthroplasty and other surgical techniques more commonly reserved for periprosthetic fractures of the proximal femur such as cortical strut allograft augmentation. We believe revision to reverse geometry long-stem implant with cortical strut allograft augmentation to be safe and appropriate in the management of these complex injuries, although technically challenging, and has excellent initial and medium-term results.

Proximal humeral fractures: a biomechanical comparison of locking plate constructs in a cadaveric 3-part fracture model.

The purpose of our study was to biomechanically compare, under cyclic loading conditions, fracture site motion, humeral head collapse, and intra-articular hardware penetration in simulated 3-part osteoporotic proximal humeral fractures stabilized with 1 of 2 locking-plate constructs. We performed fixation on simulated 3-part proximal humeral fractures in 10 pairs of cadaveric osteoporotic humeri with a Hand Innovations S3 Proximal Humerus Plate (S3 plate) or an LCP Proximal Humerus Plate (LCP plate; 1 each for each pair). The specimens were potted, mounted on a materials testing machine, and subjected to 5000 cycles of abduction in the scapular plane, loading through the supraspinatus tendon. Interfragmentary displacement at 2 virtual points (the most medial aspect of the calcar and the most superior aspect of the osteotomy line between the greater tuberosity and humeral head) was measured using an optical tracking system. Humeral head rotation was also measured. We used a generalized linear latent and mixed model to check for an effect of cyclic loading and treatment on the parameters of interest (significance, P < .05). After cyclic loading, the S3 plate humeri showed significantly greater displacement of the greater tuberosity fragment and rotation of the humeral head and a trend (not a significant difference) toward greater displacement at the calcar. No hardware penetration was noted for either repair. Although the S3 plate repairs resulted in significantly more fracture site motion, it is unknown whether the magnitude of the motion is clinically significant.