Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports

Journal of Digital Imaging - Scoliosis is a condition of abnormal lateral spinal curvature affecting an estimated 2 to 3% of the US population, or seven million people. The Cobb angle is the...     

Body mass index is a predictor of discharge to a postacute care facility following total shoulder arthroplasty

BackgroundThe purpose of this study is to evaluate the effect of body mass index (BMI) on discharge to a postacute care (PAC) facility following elective total shoulder arthroplasty (TSA).MethodsThe National Surgical Quality Improvement Program database was queried to identify adult patients (>18 years old) who underwent inpatient TSA for primary osteoarthritis between 2005 and 2018. Hemiarthroplasty, revision TSA, trauma indications, and outpatient procedures were excluded. Patient and perioperative data were identified. Univariate analysis and multivariate logistic regression were used to assess the relationship between BMI and discharge to PAC facilities.ResultsA total of 10,198 patients with a primary TSA were identified. The majority (93%) of patients were discharged home vs. 7% to PAC facilities. Patients discharged to PAC had significantly higher mean BMI (P = .006). After controlling for demographic and comorbid factors, BMI was the only modifiable risk factor that was independently associated with an increased risk of discharge to a PAC. For every increase in BMI point, there was an increased risk of discharge to a PAC by 2.9% (odds ratio [OR] 1.029, confidence interval [CI] 1.016-1.041, P < .001). Additional covariates associated with PAC discharge were older age (OR 1.113, CI 1.099-1.127, P < .001), female gender (OR 3.037, CI 2.489-3.705, P < .001), and dependent functional status (OR 8.322, CI 5.544-12.492, P < .001).ConclusionMost patients undergoing TSA were discharged home following surgery. While age, sex, and functional status also affect disposition, elevated BMI is the only modifiable risk factor that independently predicts PAC discharge. Consideration of patient BMI prior to elective TSA may greatly improve discharge planning and management of patient expectations.     

Targeting MYC-driven replication stress in medulloblastoma with AZD1775 and gemcitabine

Journal of Neuro-Oncology - MYC-driven medulloblastomas are highly aggressive childhood tumors with dismal outcomes and a lack of new treatment paradigms. We identified that targeting replication...     

Depression in type 1 diabetes and risk of dementia

Objective: Depression afflicts 14% of individuals with type 1 diabetes (T1D). Depression is a robust risk factor for dementia but it is unknown if this holds true for individuals with T1D, who recently started living to an age conferring dementia risk. We examined if depression is a dementia risk factor among elderly individuals with T1D.

Methods: 3,742 individuals with T1D age ≥50 were followed for dementia from 1/1/96-9/30/2015. Depression, dementia, and comorbidities were abstracted from electronic medical records. Cox proportional hazard models estimated the association between depression and dementia adjusting for demographics, glycosylated hemoglobin, severe dysglycemic epidsodes, stroke, heart disease, nephropathy, and end stage renal disease. The cumulative incidence of dementia by depression was estimated conditional on survival dementia-free to age 55.

Results: Five percent (N = 182) were diagnosed with dementia and 20% had baseline depression. Depression was associated with a 72% increase in dementia (fully adjusted HR = 1.72; 95% CI:1.12-2.65). The 25-year cumulative incidence of dementia was more than double for those with versus without depression (27% vs. 12%).

Conclusions: For people with T1D, depression significantly increases dementia risk. Given the pervasiveness of depression in T1D, this has major implications for successful aging in this population recently living to old age.