Hypotension in the Emergency Department and Contrast Extravasation on Computerized Tomography Predict Blood Transfusion in Low-Energy Pelvic Fractures.

INTRODUCTION: Although low-energy pelvic fractures seldom present with significant hemorrhage, early recognition of at-risk patients is essential. We aimed to identify predictors of transfusion requirements in this cohort. METHODS: A 7-y retrospective chart review was performed. Low-energy mechanism was defined as falls of ≤5 feet. Fracture pattern was classified using the Orthopedic Trauma Association/Arbeitsgemeinschaft für Osteosynthesefragen system as A, B, or C. Primary outcome was transfusion of ≥2 units of packed red blood cells in the first 48 h. Univariable analysis and logistic regression analysis were performed. A P value ≤0.05 was considered significant. RESULTS: Five hundred forty six patients were included with median (interquartile range) age of 86 (79-91) and median (interquartile range) Injury Severity Score of 5 (4-8). Five hundred forty one (99%) had type A fractures. Twenty six (5%) had the primary outcome and 17 (3%) died. Logistic regression found that systolic blood pressure <100 mmHg at any time in the Emergency Department, Injury Severity Score, and pelvic angiography were predictors of the primary outcome. Seventeen percent of those who had the primary outcome died compared with 2% who did not (P = 0.0004). Three hundred sixty four (67%) received intravenous contrast for computerized tomography scans and of these, 44 (12%) had contrast extravasation (CE). CE was associated with the primary outcome but not mortality. CONCLUSIONS: Hypotension at any time in the Emergency Department and CE on computerized tomography predicted transfusion of ≥2 units packed red blood cells in the first 48 h in patients with low-energy pelvic fractures.

Age-Adjusted Modified Frailty Index: Association With Hip Fracture Discharge Functional Dependence.

INTRODUCTION: Hip fractures are a common traumatic injury that carry significant morbidity and mortality, and prognostication of functional outcome is becoming increasingly salient. Across multiple surgical specialties, the five-item and 11-item Modified Frailty Index (mFI-5 and mFI-11) have been found to be convenient, quick, and sensitive tools for identifying patients at risk for perioperative complications. A prior study described the superiority of an Age-Adjusted Modified Frailty Index (aamFI) for predicting perioperative complications compared to the mFI-5 in an elective hip surgery. We sought to externally validate the aamFI in a multicenter hip fracture cohort and hypothesize that these risk scores would not only predict functional dependence (FD) at discharge, but that the aamFI would outperform the mFI-5 and mFI-11. METHODS: The Pennsylvania Trauma Systems Foundation registry was queried from 2010 to 2020 for CPT codes, ICD-9 and ICD-10 codes pertaining to hip fracture patients. Patients with missing locomotion and transfer mobility data were excluded. FD status was determined by discharge locomotion and transfer mobility scores per existing methodology. Univariable and Multivariable analysis as well as receiver operator characteristic curves were used to evaluate and compare the three indices for prediction of functional status at discharge. P value < 0.05 was considered significant. RESULTS: Twelve thousand seven hundred and forty patients met inclusion criteria (FD: 8183; functional independent 4557). On univariable logistic regression analysis, the mFI-11 (odds ratio [OR] 1.52, 95% confidence interval [CI] 1.47-1.58, P < 0.05), mFI-5 (OR 1.57, 95% CI 1.51-1.63), and aamFI (OR 1.57, 95% CI 1.52-1.62, P < 0.05) were associated with FD. On multivariable logistic regression analysis for predictors of FD, when controlling for age (for the mFI-11 and mFI-5), sex, injury severity score, and admission vitals (systolic blood pressure and respiratory rate), higher mFI-11 and mFI-5 scores independently predicted FD at discharge (OR 1.23, 95% CI 1.18-1.28, P < 0.05 and OR 1.23, 95% CI 1.18-1.29P < 0.05 respectively). Higher aaMFI scores had superior association with functional dependence (OR 1.59, 95% CI 1.54-1.64, P < 0.05). Receiver operator characteristic curves for the mFI-11, mFI-5, and aaMFI showed comparable diagnostic strength (area under curve [AUC] = 0.63 95% CI 0.62-0.64, P < 0.05; AUC = 0.63 95% CI 0.62-0.64, P < 0.05; and AUC = 0.67 95% CI 0.65-0.67, P < 0.05 respectively). CONCLUSIONS: The mFI-11, mFI-5, and aamFI are predictive of functional outcome following hip fracture. By including age, the aamFI retains the ease of use of the mFI-5 while improving its prognostic utility for functional outcome.

Traumatic Amputation From a Rollover Farming Incident in a 16-Year-Old.

There is very little literature on the overall management of adolescent traumatic amputation, specifically of the lower extremity. We present a case involving an adolescent patient involved in an industrial farm tractor rollover with substantial crush and degloving injuries requiring bilateral lower extremity amputations. The patient was initially assessed and acutely managed in the field before arriving at an adult level 1 trauma center having two right lower extremity tourniquets already applied and a pelvic binder in place. During his hospitalization, he was revised to bilateral above-knee amputations that required multiple debridements prior to being transferred to a pediatric trauma center due to the extent of the soft tissue injury and need for flap coverage. Our adolescent patient presented with an uncommon injury mechanism resulting in significantly mangled lower extremities highlighting the importance of a multidisciplinary approach in all aspects of the patient's prehospital, intrahospital, and posthospital care.

The Cost-Effectiveness of Normal-Saline Pulsed Lavage for Infection Prophylaxis in Total Joint Arthroplasty.

Background: Prosthetic joint infection (PJI) is a well-described complication after total joint arthroplasty which imposes a substantial burden of morbidity and mortality on the individual, as well as cost to the health-care system. This study used a break-even analysis to investigate the cost-effectiveness of pulsed saline lavage (PSL) for PJI prophylaxis after a primary total knee arthroplasty (TKA) and total hip arthroplasty (THA). Methods: An established model was used to calculate the minimum cost-effective absolute risk reduction of PSL for infection prophylaxis after a total joint arthroplasty. Baseline infection rates of TKA and THA and the cost of a revision surgery for PJI were derived from the literature while the cost of PSL implementation was obtained from institutional data. Results: PSL is cost-effective at an initial infection rate of 1.10%, revision costs of $32,132 for TKA PJI, and a protocol cost of $38.28 if it reduces infection rates by 0.12% or prevents infection in 1 out of 839 patients. PSL is cost-effective at an initial infection rate of 1.63% and a revision cost of $39,713 for THA PJI if it reduces infection rates by 0.10% or prevents infection in 1 out of 1037 patients. The absolute risk reduction needed for economic viability did not change with varying baseline infection rates and did not exceed 0.38% for infection treatment costs as low as $10,000 and remained less than 0.47% even if PSL cost was as high as $150. Conclusions: The use of PSL is a cost-effective protocol for PJI prophylaxis after TKAs and THAs.

Key components of success in a randomized trial of blood pressure telemonitoring with medication therapy management pharmacists.

OBJECTIVES: The Hyperlink trial tested a 12-month intervention of home blood pressure (BP) telemonitoring with pharmacist case management in adults with uncontrolled hypertension. The intervention resulted in improved BP control compared with usual care at both 6 (72% vs. 45%; P < 0.001) and 12 months (71% vs. 53%; P = 0.005). We sought to investigate factors contributing to intervention success. DESIGN: Mixed-methods analysis of process of care data, patient focus groups, and pharmacist interviews. PARTICIPANTS: Data from 228 intervention patients were examined from the original 450 patients randomly assigned from 16 primary care clinics. Five patient focus groups and 4 pharmacist interviews were conducted to ascertain the patient and pharmacist perspective. Focus group and interview data were coded, and themes relevant to pharmacists were identified. OUTCOME MEASURES: Home BP readings of less than 135/85 mm Hg and patient focus group and pharmacist interview themes. RESULTS: Mean BP at the intake visit was 148/85 mm Hg. Antihypertensive medications were adjusted in 10% of patients at the initial in-person visit, 33% at phone visit 1, 36% at phone visit 2, and 19% at phone visit 3. Thereafter, medication changes declined. The mean home BP for patients at the first phone visit was 136/80 mm Hg, 126/74 mm Hg at 3 months, and 123/73 mm Hg at 5 months, with little change thereafter. Key components of success from patient and pharmacist interviews included a strong patient-pharmacist relationship, individualized treatment plans, and frequent phone contact with the pharmacist. CONCLUSION: Frequent adjustments to the antihypertensive treatment regimen based on home BP telemonitoring resulted in rapid lowering of BP. Our results suggest that an intensive telephone-based intervention with the key components of medication adjustments, a strong patient and pharmacist relationship, and individualized treatment plans can achieve BP control in only 3 months in many patients with uncontrolled hypertension.

Socioeconomic and demographic factors contributing to outcomes in patients with primary lymphoma of bone.

BACKGROUND: Primary lymphoma of bone (PLB) is a rare disease, comprising a malignant lymphoid infiltrate of bone. The goal of this study was to identify socioeconomic, demographic, and anatomic factors as prognostic indicators of survival for this disease using the Surveillance, Epidemiology, and End Results (SEER) database. METHODS: The SEER database was used to identify a study population of 692 patients diagnosed with PLB in the United States from 1989 to 2003. Survival was analyzed using the Kaplan-Meier method, with effects of potential prognostic factors on survival analyzed using the log-rank test. Multivariable analysis was performed by Cox proportional hazards regression. RESULTS: The overall 5-year survival rate was 49.6%, with a 10-year survival rate of 30.2%. Median overall survival was 4.9 years (95% CI: 3.9, 6.1). In multivariable analysis, age (p<0.0001), marital status (p=0.006), and appendicular vs. axial tumor location (p=0.004) were found to be independent predictors of survival. CONCLUSIONS: This population-based study of PLB identified age, marital status, and tumor location as independent indicators of prognosis. This finding supports the clinical suspicion that an appendicular tumor location confers a better prognosis than an axial tumor location.

Improvement in Overall Survival from Extremity Soft Tissue Sarcoma over Twenty Years.

Several patient demographic factors, including marital status, have been demonstrated to have prognostic significance for survival in extremity soft tissue sarcoma (ESTS). A study population of 12,546 adult patients diagnosed with ESTS from 1991 to 2010 was identified from the SEER database, a large population-based registry, in order to determine whether overall survival had changed over this recent 20-year period. The study population was divided into three groups by year of diagnosis: 1991-1996, 1997-2003, and 2004-2010. We used the Kaplan-Meier method and Cox proportional hazards regression to assess survival differences between different demographic groups and prognostic clinical characteristics. Over the course of time, the 5-year overall survival rates have increased from 28% in the earliest time period to 62% in the latest (P < 0.0001). On multivariate analysis, the mortality rate progressively declined from the 1991-1996 group (HR: 3.02, CI: 2.78-3.29) to the 1997-2003 group (HR: 2.21, CI: 2.06-2.37), with the 2004-2010 group having the best overall survival, despite increases in the proportion of patients with tumors greater than 5 cm in size (P < 0.0001), and those presenting with metastasis (P < 0.0001).

Effect of home blood pressure telemonitoring and pharmacist management on blood pressure control: a cluster randomized clinical trial.

IMPORTANCE: Only about half of patients with high blood pressure (BP) in the United States have their BP controlled. Practical, robust, and sustainable models are needed to improve BP control in patients with uncontrolled hypertension. OBJECTIVES: To determine whether an intervention combining home BP telemonitoring with pharmacist case management improves BP control compared with usual care and to determine whether BP control is maintained after the intervention is stopped. DESIGN, SETTING, AND PATIENTS: A cluster randomized clinical trial of 450 adults with uncontrolled BP recruited from 14,692 patients with electronic medical records across 16 primary care clinics in an integrated health system in Minneapolis-St Paul, Minnesota, with 12 months of intervention and 6 months of postintervention follow-up. INTERVENTIONS: Eight clinics were randomized to provide usual care to patients (n = 222) and 8 clinics were randomized to provide a telemonitoring intervention (n = 228). Intervention patients received home BP telemonitors and transmitted BP data to pharmacists who adjusted antihypertensive therapy accordingly. MAIN OUTCOMES AND MEASURES: Control of systolic BP to less than 140 mm Hg and diastolic BP to less than 90 mm Hg (<130/80 mm Hg in patients with diabetes or chronic kidney disease) at 6 and 12 months. Secondary outcomes were change in BP, patient satisfaction, and BP control at 18 months (6 months after intervention stopped). RESULTS: At baseline, enrollees were 45% women, 82% white, mean (SD) age was 61.1 (12.0) years, and mean systolic BP was 148 mm Hg and diastolic BP was 85 mm Hg. Blood pressure was controlled at both 6 and 12 months in 57.2% (95% CI, 44.8% to 68.7%) of patients in the telemonitoring intervention group vs 30.0% (95% CI, 23.2% to 37.8%) of patients in the usual care group (P = .001). At 18 months (6 months of postintervention follow-up), BP was controlled in 71.8% (95% CI, 65.0% to 77.8%) of patients in the telemonitoring intervention group vs 57.1% (95% CI, 51.5% to 62.6%) of patients in the usual care group (P = .003). Compared with the usual care group, systolic BP decreased more from baseline among patients in the telemonitoring intervention group at 6 months (-10.7 mm Hg [95% CI, -14.3 to -7.3 mm Hg]; P<.001), at 12 months (-9.7 mm Hg [95% CI, -13.4 to -6.0 mm Hg]; P<.001), and at 18 months (-6.6 mm Hg [95% CI, -10.7 to -2.5 mm Hg]; P = .004). Compared with the usual care group, diastolic BP decreased more from baseline among patients in the telemonitoring intervention group at 6 months (-6.0 mm Hg [95% CI, -8.6 to -3.4 mm Hg]; P<.001), at 12 months (-5.1 mm Hg [95% CI, -7.4 to -2.8 mm Hg]; P<.001), and at 18 months (-3.0 mm Hg [95% CI, -6.3 to 0.3 mm Hg]; P = .07). CONCLUSIONS AND RELEVANCE: Home BP telemonitoring and pharmacist case management achieved better BP control compared with usual care during 12 months of intervention that persisted during 6 months of postintervention follow-up. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00781365.

Thirty-day readmission rates as a measure of quality: causes of readmission after orthopedic surgeries and accuracy of administrative data.

The rate of unplanned 30-day readmissions to the hospital after discharge is being used as a marker to compare the quality of care across hospitals and to set reimbursement levels for care. While the readmission rate can be reported using administrative data, the accuracy of these data is variable, and defining which readmissions are unplanned and preventable is often difficult. The purpose of this study was to review readmissions to a single orthopedic hospital to identify the causes for readmission and, in particular, which readmissions are planned versus unplanned. Using that hospital's administrative database of patient records from 2007 to 2009, we identified all patients who were readmitted to the hospital within 30 days of a previous hospitalization for a procedure. Readmissions were broadly categorized as planned (a staged or rescheduled procedure or a direct transfer) or unplanned. Unplanned readmissions were defined as either surgical or nonsurgical complications (medical conditions not directly related to the procedure). Almost 30 percent of readmissions were planned. Of the unplanned readmissions, close to 60 percent were triggered by an infection or a concern for an infection. Nonsurgical complications accounted for 18.2 percent of unplanned readmissions. This study highlights the importance of careful data collection and abstraction when calculating early readmission rates. Preventing surgical site infection and better coordinating care between orthopedic surgeons and primary care and medical subspecialty physicians may significantly reduce readmission rates.

An analysis of causes of readmission after spine surgery.

STUDY DESIGN: Retrospective review of medical records. OBJECTIVE: We reviewed all early readmissions after elective spine surgery at a single orthopedic specialty hospital to analyze the causes of unplanned readmissions. SUMMARY OF BACKGROUND DATA: Recent advances in techniques and instrumentation have made more complex spinal surgeries possible, although sometimes with more complications. Early readmission rate is being used as a marker to evaluate quality of care. There is little data available regarding the causes of early readmissions after spine surgery. METHODS: Using the hospital's administrative database of patient records from 2007 to 2009, all patients who underwent spine surgery and were readmitted to the hospital within 30 days were identified and broadly categorized as planned (a staged or rescheduled procedure or a direct transfer) or unplanned. Unplanned readmissions were defined to have occurred as a result of either a surgical or a nonsurgical complication. Analysis was focused on 12 common spine procedures based on the principle procedure International Classification of Diseases, Ninth Revision, Clinical Modification code for the patient's initial admission. The readmission rate was calculated for each procedure. RESULTS: A total of 156 early readmissions were identified, of which 141 were unplanned. Of the unplanned readmissions, the most common causes were infection or a concern for an infection (45 patients, 32% of unplanned readmissions), nonsurgical complications (31 patients, 22% of readmissions), complications requiring surgical revision (21 patients, 15% of readmissions), and wound drainage (12 patients, 9% of readmissions). Fifty-seven percent of unplanned readmissions required a return to the operating room (76% of infections or concern for infection). The average length of stay for the unplanned readmissions was 6.5 days. When using the 12 most common procedures based on the International Classification of Diseases, Ninth Revision, Clinical Modification, the early readmission rate was 3.8% (141 early readmissions in 3673 procedures). CONCLUSION: Infection, medical complications after surgery, and surgical complications requiring revision of implants are the primary causes of unplanned early readmissions and spine surgery. Further studies are necessary to identify patients and procedures most associated with readmission.

Comprehensive program reduces hospital readmission rates after total joint arthroplasty.

Hospital readmissions are quality indicators of healthcare delivery. Our purpose is to examine the effect of a program designed to reduce readmissions after total joint replacement. We initiated a comprehensive program with 4 goals: (1) outpatient workup of venous thromboembolism; (2) decrease surgical site infection; (3) early follow-up with primary care physicians; and (4) increase physician awareness of the financial and quality-related ramifications of unplanned readmissions. We then compared readmission rates before our initiative was instituted (2005-2006) to 3 years after implementation (2007-2009). Readmission rates preintervention were 3.70 and 3.29 for total hip replacement (THR) and knee replacement (TKR), respectively. Postintervention rates fell to 1.78 and 1.98, respectively, representing a 47.2% reduction of readmission for THR and 39.8% for TKR (P<.05). These results demonstrate the success of our program in reducing readmissions. This may result in reductions in healthcare costs and improvement in quality of care.