Ultrasound criteria for lipedema diagnosis.

BACKGROUND: Lipedema is characterized by the deposition of abnormal fat in the lower and upper limbs bilaterally. It is a disease with high prevalence and genetic characteristics. Non-specific and non-quantified increases in the thickness of the subcutaneous tissue have previously been demonstrated using magnetic resonance imaging and computed tomography. OBJECTIVES: To evaluate the thickness of the dermis and subcutaneous tissue in predetermined areas as a distinguishing feature between individuals with and without lipedema using ultrasound. METHODS: Ultrasound images of 89 female patients were analyzed, including patients undergoing clinical investigation for venous insufficiency or lipedema who underwent ultrasound evaluations at our institution. Patients were divided in two groups: with lipedema clinically diagnosed and those without lipedema. They underwent a common Doppler protocol for venous mapping to assess venous insufficiency associated with the evaluation of dermis and subcutaneous thickness at pre-defined points of the lower limbs. RESULTS: There were 63 patients with lipedema. Anterior thigh, pre-tibial and lateral aspect of the leg and supra-just medial malleolar region were significantly different. Supra-just medial malleolar region was significantly different with BMI above 25. An optimal cutoff value was calculated for the ultrasound diagnosis of lipedema using thickness of the dermis and subcutaneous tissues. CONCLUSIONS: Studied criteria allow use of simple and reproducible ultrasound cutoff values to diagnose lipedema in the lower limbs. Pre-tibial region thickness measurement, followed by thigh and lateral leg thickness are recommended for the ultrasound diagnosis of lipedema.

Machine learning in prediction of individual patient readmissions for elective carotid endarterectomy, aortofemoral bypass/aortic aneurysm repair, and femoral-distal arterial bypass.

OBJECTIVE: Early hospital readmissions have been rising and are increasingly used for public reporting and pay-for-performance. The readmission problem is fundamentally different in surgical patients compared with medical patients. There is an opportunity to intervene preoperatively to decrease the risk of readmission postoperatively. METHODS: A predictive model of 90-day hospital readmission for patients undergoing elective carotid endarterectomy, aortofemoral bypass/aortic aneurysm repair, and femoral-distal arterial bypass was developed using data from the Healthcare Cost and Utilization Project State Inpatient Database for Florida State. The model training followed a nested resampling method with subsampling to increase execution speed and reduce overfitting. The following predictors were used: age, gender, race, median household income, primary expected payer, patient location, admission type, Elixhauser-van Walraven Comorbidity Index, Charlson comorbidity score, main surgical procedure, length of stay, disposition of the patient at discharge, period of the year, hospital volume, and surgeon volume. RESULTS: Our sample comprised data on 246,405 patients, of whom 30.3% were readmitted within 90 days. Readmitted patients were more likely to be admitted via emergency (47.2% vs 30%), included a higher percentage with a Charlson score greater than 3 (35.8% vs 18.7%), had a higher mean van Walraven score (8.32 vs 5.34), and had a higher mean length of hospital stay (6.59 vs 3.51). Endarterectomy was the most common procedure, accounting for 19.9% of all procedures. When predicting 90-day readmission, Shrinkage Discriminant Analysis was the best performing model (area under the curve = 0.68). Important variables for the best predictive model included length of stay in the hospital, comorbidity scores, endarterectomy procedure, and elective admission type. The survival analysis for the time to readmission after the surgical procedures demonstrated that the hazard ratios were higher for subjects who presented Charlson comorbidity score above three (2.29 (2.26, 2.33)), patients transferred to a short-term hospital (2.4 (2.23, 2.59)), home healthcare (1.64 (1.61, 1.68)), other type of facility (2.59 (2.54, 2.63)) or discharged against medical advice (2.06 (1.88, 2.26)), and those with greater length of stay (1.89 (1.86, 1.91)). CONCLUSION: The model stratifies readmission risk on the basis of vascular procedure type, which suggests that attempts to decrease vascular readmission should focus on emergency procedures. Given the current focus on readmissions and increasing pressure to prevent unplanned readmissions, this score stratifies patients by readmission risk, providing an additional resource to identify and prevent unnecessary readmissions.

Characteristics of acute asthma patients attended frequently compared with those attended only occasionally in an emergency department.

Asthma patients that depend on emergency department (ED) services are generally considered to have extremely poor disease control and prognosis. It is important to identify characteristics related to poor disease control and frequent visits to the ED to apply appropriate clinical management. This study comprised a cross-sectional survey of consecutive patients with asthma exacerbation (age > or = 12 years) presenting at the adult ED of a large, tertiary care, university-affiliated hospital over a 2-month period. The frequent visitors (FV) were defined by > or = 3 visits to the ED in the preceding year, and the occasional visitors (OV) by < or = 2 visits. Eighty-six patients (61 females and 25 males) were included in the study (mean age 38 +/- 18 years). Of these patients, 51.2% were FV and 48.8% were OV. Sixty-nine percent had annual income lower than A dollar 3000 and 66.3% had < or = 8 years of the formal education. Only 18.6% had used inhaled corticosteroids, 79.1% identified the asthma attack severity, 70.9% increased or initiated inhaled beta-agonist, 20.9% increased or initiated steroid therapy, and 55.8% had an asthma action plan for attack. The number of hospital admissions in past year (OR 4.3, P = .02), use of home nebulizer (OR 3.6, P = .05) and the lack of a written asthma action plan (OR 3.3, P = .03) were independently associated with frequent visits to the ED. We conclude that a substantial proportion of the patients that visit the ED are FV. These patients are more likely to have hospital admission in the past year, to use a home nebulizer, and to lack a written asthma action plan. They should be considered the most important target for asthma education.