The effects of a multidisciplinary pathway for perioperative management of patients with hip fracture.

OBJECTIVES: To determine if a multidisciplinary pathway focused on non-opioid pain management, delirium assessment, and resource utilization improved outcomes in geriatric hip fracture patients. The goal was to reduce opioid usage, consultation not congruent with guidelines, and increase use of regional anesthesia to reduce delirium and improve outcomes. METHODS: An observational study was performed on hip fracture patients before and after the intervention. Hospitalists were educated on indications for preoperative cardiac consultation and specialized preoperative cardiac testing according to evidence-based guidelines with the inpatient cardiology service. Additional education on multimodal analgesia, limiting opioids, and peripheral nerve blocks was provided by the acute pain service. Pre-intervention outcomes from 1 July 20171 July 2017 to 31 May 201831 May 2018 (N = 92) were compared to post-intervention outcomes from 1 July 20181 July 2018 to 31 May 201931 May 2019 (N = 98) and included delirium, length of stay, 30-day readmission rate, time from arrival to procedure start time, time to first physical therapy session, and completion of cardiology consult time. We examined adherence, use of nerve blocks, and pre- and post-operative pain scores and opioid use. RESULTS: Delirium was reduced from 50.0% (N = 46/92) to 28.6% (N = 28/98); p = 0.002. Postoperative opioid use (IV morphine milligram equivalents) decreased from an average of 57.2 mg (±67.7) to 42.6 mg (±58.2),P < .0001. There was a significant decrease in mean pre-operative (5.4 ± 4.14 to 5.05 ± 2.8, P < .0001) and post-operative pain scores (4.3 ± 5.2 to 3.2 ± 2.2, P < .0001). There was a significant reduction in time to cardiology consultation from 18 h] to 12 h ; p < .001). CONCLUSIONS: A multidisciplinary collaboration between hospitalists, anesthesiologists, and cardiologists for hip fracture patients was associated with a reduction in pain and delirium and time to cardiologist evaluation. Prospective studies focusing on additional patient-centered outcomes are warranted.

Development and Validation of a Web-Based Severe COVID-19 Risk Prediction Model.

BACKGROUND: Coronavirus disease 2019 (COVID-19) carries high morbidity and mortality globally. Identification of patients at risk for clinical deterioration upon presentation would aid in triaging, prognostication, and allocation of resources and experimental treatments. RESEARCH QUESTION: Can we develop and validate a web-based risk prediction model for identification of patients who may develop severe COVID-19, defined as intensive care unit (ICU) admission, mechanical ventilation, and/or death? METHODS: This retrospective cohort study reviewed 415 patients admitted to a large urban academic medical center and community hospitals. Covariates included demographic, clinical, and laboratory data. The independent association of predictors with severe COVID-19 was determined using multivariable logistic regression. A derivation cohort (n=311, 75%) was used to develop the prediction models. The models were tested by a validation cohort (n=104, 25%). RESULTS: The median age was 66 years (Interquartile range [IQR] 54-77) and the majority were male (55%) and non-White (65.8%). The 14-day severe COVID-19 rate was 39.3%; 31.7% required ICU, 24.6% mechanical ventilation, and 21.2% died. Machine learning algorithms and clinical judgment were used to improve model performance and clinical utility, resulting in the selection of eight predictors: age, sex, dyspnea, diabetes mellitus, troponin, C-reactive protein, D-dimer, and aspartate aminotransferase. The discriminative ability was excellent for both the severe COVID-19 (training area under the curve [AUC]=0.82, validation AUC=0.82) and mortality (training AUC= 0.85, validation AUC=0.81) models. These models were incorporated into a mobile-friendly website. CONCLUSIONS: This web-based risk prediction model can be used at the bedside for prediction of severe COVID-19 using data mostly available at the time of presentation.

Improved Supervision and Safety of Discharges Through Formal Discharge Education.

The goal of this study is to evaluate change in residents' assessment of supervision and safety of the discharge process after formal discharge instruction education. An educational lecture and workshop addressing high-risk medications, medication reconciliation, follow-up, and handoffs were provided to internal medicine residents. Residents were given a longitudinal survey before and after the discharge education session. Significant improvement in perception was demonstrated in review of discharge instructions ( P < .001), review of new medications/side effects with patients ( P < .001), and review of discharge instructions with and receiving feedback from attending physicians ( P < .001). On review of 40 discharge instructions pre and post intervention, there was an improvement in completion of instructions for high-risk medications ( P < .05 [14 insulin, 26 anticoagulation]). This intervention was viewed positively by residents; more than two thirds of all residents favored a process of formal training over the current model of "training by doing."