Pulmonary Embolism Response Teams (PERTs) have emerged to provide rapid multidisciplinary assessment and treatment of PE patients. However, descriptive institutional experience and preliminary outcomes data from such teams are sparse. PERT activations were identified through a retrospective review. Only confirmed submassive or massive PEs were included in the data analysis. In addition to baseline variables, the therapeutic intervention, length of stay (LOS), in-hospital mortality, and bleeding rate/severity were recorded. A total of 124 PERT activations occurred over 20 months: 43 in the first 10 months and 81 in the next 10. A total of 87 submassive (90.8%) and massive (9.2%) PE patients were included. The median age was 65 (51-75 IQR) years. Catheter-directed thrombolysis (CDT) was administered to 25 patients, systemic thrombolysis (ST) to six, and anticoagulation alone (AC) to 54. The median ICU stay and overall LOS were 6 (3-10 IQR) and 7 (4-14 IQR) days, respectively, with no association with any variables except a brain natriuretic peptide (BNP) >100 pg/mL ( p=0.008 ICU LOS; p=0.047 overall LOS). Twelve patients (13.7%) died in the hospital, nine of whom had metastatic or brain cancer, with a median overall LOS of 13 (11-17 IQR) days. There were five major bleeds: one in the CDT group, one in the ST group, and three in the AC group. Overall, (1) PERT activations increased after the first 10 months; (2) BNP >100 pg/mL was associated with a longer LOS; (3) rates of mortality and bleeding did not correlate with treatment; and (4) the majority of in-hospital deaths occurred in patients with advanced cancer.

Objective Using the Manhattan Lupus Surveillance Program, a multiracial/ethnic population‐based registry, we aimed to compare 3 commonly used classification criteria for systemic lupus erythematosus (SLE) to identify unique cases and determine the incidence and prevalence of SLE using the EULAR/American College of Rheumatology (ACR) criteria. Methods SLE cases were defined as fulfilling the 1997 ACR, the Systemic Lupus International Collaborating Clinics (SLICC), or the EULAR/ACR classification criteria. We quantified the number of cases uniquely associated with each and the number fulfilling all 3 criteria. Prevalence and incidence using the EULAR/ACR classification criteria and associated 95% confidence intervals (95% CIs) were calculated. Results A total of 1,497 cases fulfilled at least 1 of the 3 classification criteria, with 1,008 (67.3%) meeting all 3 classifications, 138 (9.2%) fulfilling only the SLICC criteria, 35 (2.3%) fulfilling only the 1997 ACR criteria, and 34 (2.3%) uniquely fulfilling the EULAR/ACR criteria. Patients solely satisfying the EULAR/ACR criteria had <4 manifestations. The majority classified only by the 1997 ACR criteria did not meet any of the defined immunologic criteria. Patients fulfilling only the SLICC criteria did so based on the presence of features unique to this system. Using the EULAR/ACR classification criteria, age‐adjusted overall prevalence and incidence rates of SLE in Manhattan were 59.6 (95% CI 55.9–63.4) and 4.9 (95% CI 4.3–5.5) per 100,000 population, with age‐adjusted prevalence and incidence rates highest among non‐Hispanic Black female patients. Conclusion Applying the 3 commonly used classification criteria to a population‐based registry identified patients with SLE fulfilling only 1 validated definition. The most recently developed EULAR/ACR classification criteria revealed prevalence and incidence estimates similar to those previously established for the ACR and SLICC classification schemes.

Iron deficiency affects many functional outcomes such as maximal oxygen uptake, energy efficiency, and work productivity. Physical activity is a functional outcome that is less well understood due to inherent difficulties associated with its measurement. The objective of this study is to analyze the relationship between iron status and measures of free‐living physical activity in Indian children (12 to 16 years old) during a two‐hour period of discretionary time after school. Physical activity data were collected from the children for one week using Actigraph GT3X accelerometers. Energy expenditure was calculated in metabolic equivalents (METs) from accelerometer counts using Crouter's refined two‐regression model. Energy expenditure was analyzed in relation to iron deficiency (defined as serum ferritin < 12 mg/dL), age and gender using generalized linear models. 64 of the 215 students analyzed in the sample were iron deficient based on serum ferritin levels. Iron deficient participants spent a lower percentage of the discretionary time period at activity levels greater than 3 METs (13.8%) compared to non‐iron deficient participants (16.8%) (p=0.037) when accounting for age. While significant, this effect seems to be confounded by the relationship between gender and physical activity. Iron deficiency in Indian children is associated with a lower percentage of time spent at moderate‐to‐vigorous physical activity levels during discretionary time. Future analyses will be used to examine the relationship between changes in iron status from low doses of iron in biofortified pearl millet and changes in physical activity. Funded by HarvestPlus.