Serum albumin and hospitalization among pediatric patients with end-stage renal disease who started dialysis therapy.

BackgroundHypoalbuminemia is a strong predictor of hospitalization and mortality among adult dialysis patients. However, data are scant on the association between serum albumin and hospitalization among children new to dialysis.MethodsIn a retrospective cohort study of children 1-17 years old with end-stage renal disease receiving dialysis therapy in a large US dialysis organization 2007-2011, we examined the association of serum albumin with hospitalization frequency and total hospitalization days using a negative binomial regression model.ResultsAmong 416 eligible patients, median (interquartile range) age was 14 (10-16) years and mean ± SD baseline serum albumin level was 3.7 ± 0.8 g/dL. Two hundred sixty-six patients (64%) were hospitalized during follow-up with an incidence rate of 2.2 (95%CI, 1.9-2.4) admissions per patient-year. There was a U-shaped association between serum albumin and hospitalization frequency; hospitalization rates (95%CI) were 2.7 (2.2-3.2), 1.9 (1.5-2.4), 1.6 (1.3-1.9), and 2.7 (1.7-3.6) per patient-year among patients with serum albumin levels < 3.5, 3.5- < 4.0, 4.0- < 4.5, and ≥ 4.5 g/dL, respectively. Case mix-adjusted hospitalization incidence rate ratios (IRRs) (95%CI) were 1.63 (1.24-2.13), 1.32 (1.10-1.58), and 1.25 (1.06-1.49) at serum albumin levels 3.0, 3.5, and 4.5 g/dL, respectively (reference: 4.0 g/dL). Similar trends were observed in hospitalization days. These associations remained robust against further adjustment for laboratory variables associated with malnutrition and inflammation.ConclusionsBoth high and low serum albumin were associated with higher hospitalization in children starting dialysis. Because the observed association is novel and not fully explainable especially for high serum albumin levels, interpreting the results requires caution and further studies are needed to confirm and elucidate this association before clinical recommendations are made

Thrombosis in the Surgically Corrected Anomalous Right Coronary Artery after Reimplantation in Aorta

A 32-year-old African American female presented with dyspnea, and after several cardiac diagnostic tests, the diagnosis of an anomalous origin of the RCA from the pulmonary trunk was established by multislice coronary CT angiography. She underwent surgical correction with reimplantation of the RCA, from the pulmonary artery to the aortic root. However, 10 days after surgery, she developed frequent episodes of chest pain, and repeat coronary CTA showed a partially occlusive thrombus in the surgically reimplanted RCA. Anticoagulation with warfarin resulted in complete resolution of the patient’s symptoms

Simulation of Non-Combatant Population Movement in the Battlespace

Interservice / Industry Training, Simulation, and Education Conference (I/ITSEC) 2017The risk of adversaries instigating mass human migration, refugee flows and crowd formations in the battlespace1 requires mitigation because unexpected population movements can adversely impact the United States and partners’ freedom of operations abroad. As well, Information operations and physical events initiated by operations in an area may result in population activity patterns (second and third order effects/events). Even relatively small gatherings of non-combatants, especially at urban choke points can have repercussions impacting military operations which rely on predictable traffic flow on roads and infrastructure. Simulation in the field of Pattern of Life Analytics (PoLA) is critically important to the military because it may lead to improvements in predicting patterns of movement and other behaviors that are realistic, reliable, and repeatable among non-military populations. There is insufficient modeling of the political, economic and social conditions within the operational environment (OE) and their effects on combatants and noncombatants. Meanwhile, emerging connected device tracking technologies provide rich new data sources required to assess ongoing patterns of life activity levels (traffic patterns, work, shopping, pedestrian flow, refugee movement, crowd gatherings and so on). This paper describes a technique for representing migration of a civilian population in a way that is amenable to computation (i.e., simulation). The model firmly rooted in social science principles for: a) establishing a baseline of population location data, b) calculating populace mood changes based upon Political, Military, Economic, Social, Infrastructure, Information, Physical Environment, and Time (PMESII-PT) interventions, and c) forecasting timing and size of refugee flows and direction of their movements to, d) further model their external migration in Athena. As a result, the military decision makers can understand PMESII-PT impacts of non-combatant population movement in the battlespace. Lessons learned from this work could be used to simulate and predict non-combatant movement and identify potential impacts in the OE

Serum albumin and hospitalization among pediatric patients with end-stage renal disease who started dialysis therapy.

BackgroundHypoalbuminemia is a strong predictor of hospitalization and mortality among adult dialysis patients. However, data are scant on the association between serum albumin and hospitalization among children new to dialysis.MethodsIn a retrospective cohort study of children 1-17 years old with end-stage renal disease receiving dialysis therapy in a large US dialysis organization 2007-2011, we examined the association of serum albumin with hospitalization frequency and total hospitalization days using a negative binomial regression model.ResultsAmong 416 eligible patients, median (interquartile range) age was 14 (10-16) years and mean ± SD baseline serum albumin level was 3.7 ± 0.8 g/dL. Two hundred sixty-six patients (64%) were hospitalized during follow-up with an incidence rate of 2.2 (95%CI, 1.9-2.4) admissions per patient-year. There was a U-shaped association between serum albumin and hospitalization frequency; hospitalization rates (95%CI) were 2.7 (2.2-3.2), 1.9 (1.5-2.4), 1.6 (1.3-1.9), and 2.7 (1.7-3.6) per patient-year among patients with serum albumin levels < 3.5, 3.5- < 4.0, 4.0- < 4.5, and ≥ 4.5 g/dL, respectively. Case mix-adjusted hospitalization incidence rate ratios (IRRs) (95%CI) were 1.63 (1.24-2.13), 1.32 (1.10-1.58), and 1.25 (1.06-1.49) at serum albumin levels 3.0, 3.5, and 4.5 g/dL, respectively (reference: 4.0 g/dL). Similar trends were observed in hospitalization days. These associations remained robust against further adjustment for laboratory variables associated with malnutrition and inflammation.ConclusionsBoth high and low serum albumin were associated with higher hospitalization in children starting dialysis. Because the observed association is novel and not fully explainable especially for high serum albumin levels, interpreting the results requires caution and further studies are needed to confirm and elucidate this association before clinical recommendations are made