13 research outputs found

    Factors Associated with Revision Surgery after Internal Fixation of Hip Fractures

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    Background: Femoral neck fractures are associated with high rates of revision surgery after management with internal fixation. Using data from the Fixation using Alternative Implants for the Treatment of Hip fractures (FAITH) trial evaluating methods of internal fixation in patients with femoral neck fractures, we investigated associations between baseline and surgical factors and the need for revision surgery to promote healing, relieve pain, treat infection or improve function over 24 months postsurgery. Additionally, we investigated factors associated with (1) hardware removal and (2) implant exchange from cancellous screws (CS) or sliding hip screw (SHS) to total hip arthroplasty, hemiarthroplasty, or another internal fixation device. Methods: We identified 15 potential factors a priori that may be associated with revision surgery, 7 with hardware removal, and 14 with implant exchange. We used multivariable Cox proportional hazards analyses in our investigation. Results: Factors associated with increased risk of revision surgery included: female sex, [hazard ratio (HR) 1.79, 95% confidence interval (CI) 1.25-2.50; P = 0.001], higher body mass index (fo

    Monitoring and Developing a Volunteer Patient Navigation Intervention to Improve Mammography Compliance in a Safety Net Hospital

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    PURPOSE: Although mammography screening is crucial for cancer detection, screening rates have been declining, particularly in patients of low socioeconomic status and minorities. We sought to evaluate and improve the compliance rates at our safety net hospital through a prospective randomized controlled trial of a volunteer-run patient navigation intervention. METHODS: Baseline 90-day institutional mammography compliance rates were evaluated for patients who received a physician order for screening mammograms over a 1-month period. This analysis aided in the creation of a prospective randomized controlled trial of a volunteer-run patient navigation intervention to improve compliance, with 49 total participants. The primary outcome was 14-day mammography compliance rates. Secondary analysis examined the efficacy of the intervention with respect to patient demographics, prior mammography compliance, family history of cancer, beliefs on mammography, and past medical history. RESULTS: Analysis of baseline institutional compliance revealed a 47.87% compliance rate, with the majority of compliance occurring within 14 days of order placement. The patient navigation intervention significantly improved compliance by 34% (42% in the control group, 76% in the intervention group). Additional findings included significantly improved compliance in patients who believed they had a low susceptibility to cancer, those who understood the benefits of mammography and early diagnosis, those who had a prior mammogram, those who were employed, and those with a family history of cancer. CONCLUSION: A system to monitor compliance and intervene using patient navigation significantly improved mammography compliance of patients in a safety net hospital. The relatively straightforward design of this volunteer-based intervention makes it affordable, easily replicable, and perhaps beneficial at other institutions

    Role of a Chest X-ray Severity Score in a Multivariable Predictive Model for Mortality in Patients with COVID-19: A Single-Center, Retrospective Study

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    Predicting the mortality risk of patients with Coronavirus Disease 2019 (COVID-19) can be valuable in allocating limited medical resources in the setting of outbreaks. This study assessed the role of a chest X-ray (CXR) scoring system in a multivariable model in predicting the mortality of COVID-19 patients by performing a single-center, retrospective, observational study including consecutive patients admitted with a confirmed diagnosis of COVID-19 and an initial CXR. The CXR severity score was calculated by three radiologists with 12 to 15 years of experience in thoracic imaging, based on the extent of lung involvement and density of lung opacities. Logistic regression analysis was used to identify independent predictive factors for mortality to create a predictive model. A validation dataset was used to calculate its predictive value as the AUROC. A total of 628 patients (58.1% male) were included in this study. Age ( \u3c 0.001), sepsis ( \u3c 0.001), S/F ratio ( \u3c 0.001), need for mechanical ventilation ( \u3c 0.001), and the CXR severity score ( = 0.005) were found to be independent predictive factors for mortality. We used these variables to develop a predictive model with an AUROC of 0.926 (0.891, 0.962), which was significantly higher than that of the WHO COVID severity classification, 0.853 (0.798, 0.909) (one-tailed -value = 0.028), showing that our model can accurately predict mortality of hospitalized COVID-19 patients

    Nutzenbewertung von Trainingsinterventionen für die Sturzprophylaxe bei älteren Menschen - eine systematische Übersicht auf der Grundlage systematischer Übersichten

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    Fixation using alternative implants for the treatment of hip fractures (FAITH): design and rationale for a multi-centre randomized trial comparing sliding hip screws and cancellous screws on revision surgery rates and quality of life in the treatment of femoral neck fractures

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