The Performance of Flash Replenishment Contrast-Enhanced Ultrasound for the Qualitative Assessment of Kidney Lesions in Patients with Chronic Kidney Disease.

We investigated the accuracy of CEUS for characterizing cystic and solid kidney lesions in patients with chronic kidney disease (CKD). Cystic lesions are assessed using Bosniak criteria for computed tomography (CT) and magnetic resonance imaging (MRI); however, in patients with moderate to severe kidney disease, CT and MRI contrast agents may be contraindicated. Contrast-enhanced ultrasound (CEUS) is a safe alternative for characterizing these lesions, but data on its performance among CKD patients are limited. We performed flash replenishment CEUS in 60 CKD patients (73 lesions). Final analysis included 53 patients (63 lesions). Four readers, blinded to true diagnosis, interpreted each lesion. Reader evaluations were compared to true lesion classifications. Performance metrics were calculated to assess malignant and benign diagnoses. Reader agreement was evaluated using Bowker's symmetry test. Combined reader sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for diagnosing malignant lesions were 71%, 75%, 45%, and 90%, respectively. Sensitivity (81%) and specificity (83%) were highest in CKD IV/V patients when grouped by CKD stage. Combined reader sensitivity, specificity, PPV, and NPV for diagnosing benign lesions were 70%, 86%, 91%, and 61%, respectively. Again, in CKD IV/V patients, sensitivity (81%), specificity (95%), and PPV (98%) were highest. Inter-reader diagnostic agreement varied from 72% to 90%. In CKD patients, CEUS is a potential low-risk option for screening kidney lesions. CEUS may be particularly beneficial for CKD IV/V patients, where kidney preservation techniques are highly relevant.

Pursuing a Career in Pediatrics: Intersection of Educational Debt and Race/Ethnicity.

OBJECTIVES: To examine the associations among pediatric trainees' self-reported race/ethnicity, educational debt, and other factors for pursuing a pediatrics career. STUDY DESIGN: Cross-sectional study using data from the American Board of Pediatrics In-training Examination Post-examination Survey years 2018-2020 of categorical pediatric interns. Independent variable of interest was race/ethnicity. Classifications used were White, Hispanic/Latinx, Black/African American, Asian, and other/multiracial. The primary dependent variable was educational debt; secondary dependent variables included the importance of personal, professional, and financial factors in selecting a pediatric career. Means with 95% CIs were computed to summarize scores regarding a factor's importance. Chi-square tests of homogeneity and one-way ANOVA F tests were used to compare proportions and means of dependent variables across levels of self-reported race/ethnicity. RESULTS: A total of 11 150 (91.5%) completed the survey. Of the final analytical sample (7 943), approximately 6.3% self-identified as Black/African American, 8.2% as Hispanic/Latinx, 22% as Asian, and 55% as White; 44% reported >$200 000 of debt. Overall, 33% of those identifying as Black/African American had >$300 000 in educational debt. The highest ranked career factor was interest in a specific disease/patient population. The importance of educational debt in career choices was highest among those identifying as Black/African American, followed by Asians and Hispanic/Latinx. Among all races/ethnicities, the importance of mentorship decreased with higher educational debt. CONCLUSION: Among individuals pursuing pediatrics, the intersection of race/ethnicity and debt may influence trainees' pursuit of pediatric careers. Educational debt negatively impacts the importance of mentorship.

The Association Between Routine Car Seat Screening and Subsequent Health Care Utilization.

BACKGROUND AND OBJECTIVES: The American Academy of Pediatrics recommends preterm newborns undergo car seat tolerance screening (CSTS) before discharge despite limited evidence supporting the practice. We examined subsequent health care utilization in screened and unscreened late preterm and low birth weight newborns. METHODS: This observational study included late preterm (34-36 weeks) and term low birth weight (<2268 g) newborns born between 2014 and 2018 at 4 hospitals with policies recommending CSTS for these infants. Birth hospitalization length of stay (LOS) in addition to 30-day hospital revisits and brief resolving unexplained events were examined. Unadjusted and adjusted rates were compared among 3 groups: not screened, pass, and fail. RESULTS: Of 5222 newborns, 3163 (61%) were discharged from the nursery and 2059 (39%) from the NICU or floor. Screening adherence was 91%, and 379 of 4728 (8%) screened newborns failed the initial screen. Compared with unscreened newborns, adjusted LOS was similar for newborns who passed the CSTS (+5.1 hours; -2.2-12.3) but significantly longer for those who failed (+16.1; 5.6-26.7). This differed by screening location: nursery = +12.6 (9.1-16.2) versus NICU/floor = +71.2 (28.3-114.1) hours. Hospital revisits did not significantly differ by group: not screened = 7.3% (reference), pass = 5.2% (aOR 0.79; 0.44-1.42), fail = 4.4% (aOR 0.65; 0.28-1.51). CONCLUSIONS: Hospital adherence to CSTS recommendations was high, and failed screens were relatively common. Routine CSTS was not associated with reduced health care utilization and may prolong hospital LOS, particularly in the NICU/floor. Prospective trials are needed to evaluate this routine practice for otherwise low-risk infants.

Semiparametric analysis of a generalized linear model with multiple covariates subject to detection limits.

Studies on the health effects of environmental mixtures face the challenge of limit of detection (LOD) in multiple correlated exposure measurements. Conventional approaches to deal with covariates subject to LOD, including complete-case analysis, substitution methods, and parametric modeling of covariate distribution, are feasible but may result in efficiency loss or bias. With a single covariate subject to LOD, a flexible semiparametric accelerated failure time (AFT) model to accommodate censored measurements has been proposed. We generalize this approach by considering a multivariate AFT model for the multiple correlated covariates subject to LOD and a generalized linear model for the outcome. A two-stage procedure based on semiparametric pseudo-likelihood is proposed for estimating the effects of these covariates on health outcome. Consistency and asymptotic normality of the estimators are derived for an arbitrary fixed dimension of covariates. Simulations studies demonstrate good large sample performance of the proposed methods vs conventional methods in realistic scenarios. We illustrate the practical utility of the proposed method with the LIFECODES birth cohort data, where we compare our approach to existing approaches in an analysis of multiple urinary trace metals in association with oxidative stress in pregnant women.

Diagnostic accuracy of acute infarcts in multiple cerebral circulations for cardioembolic stroke: Literature review and meta-analysis.

OBJECTIVE: To determine the diagnostic value of acute infarcts in multiple cerebral circulations (AIMCC) on MRI diffusion-weighted imaging (DWI) for cardioembolism (CE) stroke subtype in adult patients hospitalized with acute ischemic stroke, we conducted a systematic literature review and meta-analysis. METHODS: MEDLINE was searched via PubMed for articles reporting patients hospitalized with acute ischemic stroke with MRI DWI categorized as AIMCC vs other and use of Trial of Org 10172 in Acute Stroke Treatment (TOAST) Criteria for cardioembolism subtype. Measures of diagnostic accuracy were calculated from the retrieved studies. RESULTS: Seven eligible articles comprised 5813 patients. Bivariate random effects models estimated sensitivity 0.19 (95% CI, 0.13 to 0.27), specificity 0.89 (0.86 to 0.91), positive predictive value 0.37 (0.30 to 0.45), negative predictive value 0.76 (0.7 to 0.82), positive likelihood ratio 1.70 (1.13 to 2.57) and negative likelihood ratio 0.91 (0.83 to 1). INTERPRETATION: The pattern of AIMCC on DWI is of limited diagnostic value. It is not sufficiently accurate to exclude cardiac pathology by a negative test nor does a positive test indicate a major increase in the probability of identifying a potential cardioembolic source.

Correction to: Comparison of fracture risk assessment tools in older men without prior hip or spine fracture: the MrOS study.

Owing to an oversight by the authors, the acknowledgments were incomplete.

Comparison of fracture risk assessment tools in older men without prior hip or spine fracture: the MrOS study.

Femoral neck bone mineral density (BMD), age plus femoral neck BMD T score, and three externally generated fracture risk tools had similar accuracy to identify older men who developed osteoporotic fractures. Risk tools with femoral neck BMD performed better than those without BMD. The externally developed risk tools were poorly calibrated. INTRODUCTION: We compared the performance of fracture risk assessment tools in older men, accounting for competing risks including mortality. METHODS: A comparative ROC curve analysis assessed the ability of the QFracture, FRAX® and Garvan fracture risk tools, and femoral neck bone mineral density (BMD) T score with or without age to identify incident fracture in community-dwelling men aged 65 years or older (N = 4994) without hip or clinical vertebral fracture or antifracture treatment at baseline. RESULTS: Among risk tools calculated with BMD, the discriminative ability to identify men with incident hip fracture was similar for FRAX (AUC 0.77, 95% CI 0.73, 0.81), the Garvan tool (AUC 0.78, 95% CI 0.74, 0.82), age plus femoral neck BMD T score (AUC 0.79, 95% CI 0.75, 0.83), and femoral neck BMD T score alone (AUC 0.76, 95% CI 0.72, 0.81). Among risk tools calculated without BMD, the discriminative ability to identify hip fracture was similar for QFracture (AUC 0.69, 95% CI 0.66, 0.73), FRAX (AUC 0.70, 95% CI 0.66, 0.73), and the Garvan tool (AUC 0.71, 95% CI 0.67, 0.74). Correlated ROC curve analyses revealed better diagnostic accuracy for risk scores calculated with BMD compared with QFracture (P < 0.0001). Calibration was good for the internally generated BMD T score predictor with or without age and poor for the externally developed risk tools. CONCLUSION: In untreated older men without fragility fractures at baseline, an age plus femoral neck BMD T score classifier identified men with incident hip fracture as accurately as more complicated fracture risk scores.