Food allergy knowledge, attitudes and beliefs: Focus groups of parents, physicians and the general public

<p>Abstract</p> <p>Background</p> <p>Food allergy prevalence is increasing in US children. Presently, the primary means of preventing potentially fatal reactions are avoidance of allergens, prompt recognition of food allergy reactions, and knowledge about food allergy reaction treatments. Focus groups were held as a preliminary step in the development of validated survey instruments to assess food allergy knowledge, attitudes, and beliefs of parents, physicians, and the general public.</p> <p>Methods</p> <p>Eight focus groups were conducted between January and July of 2006 in the Chicago area with parents of children with food allergy (3 groups), physicians (3 groups), and the general public (2 groups). A constant comparative method was used to identify the emerging themes which were then grouped into key domains of food allergy knowledge, attitudes, and beliefs.</p> <p>Results</p> <p>Parents of children with food allergy had solid fundamental knowledge but had concerns about primary care physicians' knowledge of food allergy, diagnostic approaches, and treatment practices. The considerable impact of children's food allergies on familial quality of life was articulated. Physicians had good basic knowledge of food allergy but differed in their approach to diagnosis and advice about starting solids and breastfeeding. The general public had wide variation in knowledge about food allergy with many misconceptions of key concepts related to prevalence, definition, and triggers of food allergy.</p> <p>Conclusion</p> <p>Appreciable food allergy knowledge gaps exist, especially among physicians and the general public. The quality of life for children with food allergy and their families is significantly affected.</p

Prior Heart Failure Hospitalization and Outcomes in Patients with Heart Failure with Preserved and Reduced Ejection Fraction

© 2019 Background: A prior hospitalization resulting from heart failure is associated with poor outcomes in ambulatory patients with heart failure. Less is known about this association in hospitalized patients with heart failure and whether it varies by ejection fraction. Methods: Of the 25,345 hospitalized patients in the Medicare-linked OPTIMIZE-HF registry, 22,491 had known heart failure, of whom 7648 and 9558 had heart failure with preserved (≥ 50%) and reduced (≤ 40%) ejection fraction (HFpEF and HFrEF), respectively. Overall, 927 and 1862 patients with HFpEF and HFrEF had hospitalizations for heart failure during the 6 months before the index hospitalization, respectively. Using propensity scores for prior heart failure hospitalization, we assembled two matched cohorts of 924 pairs and 1844 pairs of patients with HFpEF and HFrEF, respectively, each balanced for 58 baseline characteristics. Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for outcomes during 6 years of follow-up. Results: Among 1848 matched patients with HFpEF, HRs (95% CIs) for all-cause mortality, all-cause readmission, and heart failure readmission were 1.35 (1.21-1.50; P \u3c 0.001), 1.34 (1.21-1.47; P \u3c 0.001), and 1.90 (1.67-2.16; P \u3c 0.001), respectively. Respective HRs (95% CIs) in 3688 matched patients with HFrEF were 1.17 (1.09-1.26; P \u3c 0.001), 1.32 (1.23-1.41; P \u3c 0.001), and 1.48 (1.37-1.61; P \u3c 0.001). Conclusions: Among hospitalized patients with heart failure, a previous hospitalization for heart failure is associated with higher risks of mortality and readmission in both HFpEF and HFrEF. The relative risks of death and heart failure readmission appear to be higher in HFpEF than in HFrEF

Opioid Use and Outcomes in Hospitalized Older Patients With Heart Failure Receiving and Not Receiving Hospice Referrals.

© 2019 Lippincott Williams and Wilkins. All rights reserved. Background:The use of opioids is associated with poor outcomes. Less is known about this association in patients with heart failure (HF) and whether it varies by the receipt of hospice care.Methods:Of the 7467 patients hospitalized for HF without previous opioid use, 124 received discharge opioids. We matched 123 of these patients with 123 not receiving opioids based on their propensity scores for opioid use, thus assembling a matched cohort of 246 patients balanced on 30 baseline characteristics (mean age, 76 years, 60% women, and 11% African American). We repeated the process in hospice (n = 155; 20 received opioids) and nonhospice (n = 7298; 104 received opioids) subgroups, thus assembling 2 matched cohorts of 22 and 208 patients, respectively. Hazard ratios (HRs) and 95% confidence intervals (CIs) associated with opioid use were estimated from matched cohorts.Results:During 8.6 (median, 1.4) years of follow-up, all-cause mortality occurred in 80% and 68% of matched patients in the opioid and nonopioid groups, respectively (HR, 1.49; 95% CI, 1.11-1.99; P = 0.008). There was evidence of heterogeneity in this association between hospice and nonhospice patients (P for interaction, 0.027). Among matched hospice and nonhospice patients, HRs (95% CIs) for mortality were 6.37 (2.06-19.69; P = 0.001) and 1.42 (1.03-1.96; P = 0.035), respectively. HRs (95% CIs) for 30-day and 1-year mortality were 1.98 (1.06-3.70; P = 0.033) and 1.72 (1.18-2.49; P = 0.004), respectively. HRs (95% CIs) for all-cause, HF, and non-HF readmissions were 1.31 (0.97-1.76; P = 0.079), 1.03 (0.71-1.49; P = 0.866), and 1.75 (1.05-2.91; P = 0.031), respectively. Readmission associations were similar among matched nonhospice patients. There was no readmission among matched hospice patients receiving opioids.Conclusions:In older patients with HF, opioid use is associated with a higher risk of mortality, which is greater in the hospice subgroup, and a higher risk of non-HF readmission in the nonhospice subgroup

Opioid use and outcomes in hospitalized older patients with heart failure receiving and not receiving hospice referrals

© 2019 Lippincott Williams and Wilkins. All rights reserved. Background:The use of opioids is associated with poor outcomes. Less is known about this association in patients with heart failure (HF) and whether it varies by the receipt of hospice care.Methods:Of the 7467 patients hospitalized for HF without previous opioid use, 124 received discharge opioids. We matched 123 of these patients with 123 not receiving opioids based on their propensity scores for opioid use, thus assembling a matched cohort of 246 patients balanced on 30 baseline characteristics (mean age, 76 years, 60% women, and 11% African American). We repeated the process in hospice (n = 155; 20 received opioids) and nonhospice (n = 7298; 104 received opioids) subgroups, thus assembling 2 matched cohorts of 22 and 208 patients, respectively. Hazard ratios (HRs) and 95% confidence intervals (CIs) associated with opioid use were estimated from matched cohorts.Results:During 8.6 (median, 1.4) years of follow-up, all-cause mortality occurred in 80% and 68% of matched patients in the opioid and nonopioid groups, respectively (HR, 1.49; 95% CI, 1.11-1.99; P = 0.008). There was evidence of heterogeneity in this association between hospice and nonhospice patients (P for interaction, 0.027). Among matched hospice and nonhospice patients, HRs (95% CIs) for mortality were 6.37 (2.06-19.69; P = 0.001) and 1.42 (1.03-1.96; P = 0.035), respectively. HRs (95% CIs) for 30-day and 1-year mortality were 1.98 (1.06-3.70; P = 0.033) and 1.72 (1.18-2.49; P = 0.004), respectively. HRs (95% CIs) for all-cause, HF, and non-HF readmissions were 1.31 (0.97-1.76; P = 0.079), 1.03 (0.71-1.49; P = 0.866), and 1.75 (1.05-2.91; P = 0.031), respectively. Readmission associations were similar among matched nonhospice patients. There was no readmission among matched hospice patients receiving opioids.Conclusions:In older patients with HF, opioid use is associated with a higher risk of mortality, which is greater in the hospice subgroup, and a higher risk of non-HF readmission in the nonhospice subgroup

Transient left bundle branch block associated with very high coronary artery calcium: a case report

Coronary artery calcium (CAC) is the measure of subclinical coronary artery atherosclerosis most strongly associated with atherosclerotic cardiovascular disease (ASCVD) risk. However, CAC is rarely reported in the inpatient setting to guide chest pain management. We present a case of very high CAC in a 64-year-old woman with hypertension, type 2 diabetes, and hyperlipidemia presenting with dyspnea. Initial electrocardiogram (ECG) demonstrated normal conduction with a heart rate of 76 beats/min, but new T-wave inversions in V1–V4 and a high-sensitivity troponin-I (hsTnI) value of 6 ng/L (normal < 6 ng/L). Repeat ECG in the emergency department showed normal sinus rhythm (heart rate of 80 beats/min); however, it subsequently demonstrated a left bundle branch block (LBBB) with a repeat hsTnI of 7 ng/L. Stress testing with pharmacologic single-photon emission computerized tomography did not show scintigraphic evidence of ischemia but noted extensive CAC and a concern for balanced ischemia. Subsequent coronary computed tomography angiography (CCTA) showed nonobstructive disease and a total Agatston CAC score of 1262. Invasive evaluation with left heart catheterization was deferred given the patient’s unchanged symptoms and CCTA findings. Statin therapy was intensified and aspirin, metoprolol succinate, and antihypertension therapies were continued. Initiation of glucose-lowering therapy and lipoprotein(a) testing was strongly recommended on follow-up. Our case suggests that CAC ⩾ 1000 may be incidentally associated with transient LBBB during the workup of coronary artery disease. Here, we specifically show that functional testing that incorporates measurement of CAC burden can help to improve ASCVD-preventive pharmacotherapy initiation and intensification beyond the identification of obstructive disease alone

Digoxin Initiation and Outcomes in Patients with Heart Failure (HFrEF and HFpEF) and Atrial Fibrillation.

© 2020 Background: Digoxin reduces the risk of heart failure hospitalization but has no effect on mortality in patients with heart failure without atrial fibrillation in the randomized controlled trial setting. Observational studies of digoxin use in patients with atrial fibrillation have suggested a higher risk for poor outcomes. Less is known about this association in patients with heart failure and atrial fibrillation, the examination of which was the objective of the current study. Methods: We conducted an observational propensity score-matched study of predischarge digoxin initiation in 1768 hospitalized patients with heart failure and atrial fibrillation in the Medicare-linked Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF) registry, balanced on 56 baseline characteristics (mean age, 79 years; 55% women; 7% African American). Hazard ratios (HRs) and 95% confidence intervals (CIs) for outcomes were estimated for the 884 patients initiated on digoxin compared with 884 not initiated on digoxin. Results: HRs (95% CIs) for 30-day, 2-year, and 4-year all-cause mortality were 0.80 (0.55-1.18; P =. 261), 0.94 (0.87-1.16; P =. 936), and 1.01 (0.90-1.14; P =. 729), respectively. Respective HRs (95% CIs) for heart failure readmission were 0.67 (0.49-0.92; P = .014), 0.81 (0.69-0.94; P = .005), and 0.85 (0.74-0.97; P = .022), and those for all-cause readmission were 0.78 (0.64-0.96; P = .016), 0.90 (0.81-1.00; P = .057), and 0.91 (0.83-1.01; P =. 603). These associations were homogeneous between patients with left ventricular ejection fraction ≤45% vs \u3e45%. Conclusions: Among hospitalized older patients with heart failure (HFrEF and HFpEF) and atrial fibrillation, initiation of digoxin was associated with a lower risk of heart failure readmission but had no association with mortality