Accelerating guideline dissemination in nursing homes during the COVID-19 pandemic: A patient-centered randomized controlled trial.

BACKGROUND: Nursing homes were ill-equipped for the pandemic; though facilities are required to have infection control staff, only 3% have taken a basic infection control course. Little is known about the implementation of effective practices outside of the acute care setting. We proposed an intervention utilizing Project ECHO, to connect Penn State University experts with nursing home staff and administrators to explore how infection control guidelines can be implemented effectively. METHODS: A stratified cluster randomized design was used to assign nursing homes to either AHRQ-funded COVID-19 ECHO or AHRQ-funded COVID-19 ECHO+. RESULTS: 136 nursing homes participated. There were no significant differences in COVID-19 infection rate, hospitalization, deaths, or influenza, between ECHO or ECHO+. DISCUSSION: The ECHO model has significant strengths when compared to traditional training, as it allows for remote learning delivered by a multidisciplinary team of experts and utilizes case discussions that match the context of nursing homes.

Short-term Air Pollution Levels and Blood Pressure in Older Women.

BACKGROUND: Evidence of associations between daily variation in air pollution and blood pressure (BP) is varied and few prior longitudinal studies adjusted for calendar time. METHODS: We studied 143,658 postmenopausal women 50 to 79 years of age from the Women's Health Initiative (1993-2005). We estimated daily atmospheric particulate matter (PM) (in three size fractions: PM2.5, PM2.5-10, and PM10) and nitrogen dioxide (NO2) concentrations at participants' residential addresses using validated lognormal kriging models. We used linear mixed-effects models to estimate the association between air pollution concentrations and repeated measures of systolic and diastolic BP (SBP, DBP) adjusting for confounders and calendar time. RESULTS: Short-term PM2.5 and NO2 were each positively associated with DBP {0.10 mmHg [95% confidence interval (CI): 0.04, 0.15]; 0.13 mmHg (95% CI: 0.09, 0.18), respectively} for interquartile range changes in lag 3-5 day PM2.5 and NO2. Short-term NO2 was negatively associated with SBP [-0.21 mmHg (95%CI: -0.30, -0.13)]. In two-pollutant models, the NO2-DBP association was slightly stronger, but for PM2.5 was attenuated to null, compared with single-pollutant models. Associations between short-term NO2 and DBP were more pronounced among those with higher body mass index, lower neighborhood socioeconomic position, and diabetes. When long-term (annual) and lag 3-5 day PM2.5 were in the same model, associations with long-term PM2.5 were stronger than for lag 3-5 day. CONCLUSIONS: We observed that short-term PM2.5 and NO2 levels were associated with increased DBP, although two-pollutant model results suggest NO2 was more likely responsible for observed associations. Long-term PM2.5 effects were larger than short-term.

Effects of Desk Pedaling Work Rate on Concurrent Work Performance among Physically Inactive Adults: A Randomized Experiment.

PURPOSE: Under-desk pedaling devices could help reduce health risks associated with the global decline in work-related energy expenditure. However, the optimal pedaling work rate to facilitate concurrent work performance among physically inactive adults is unclear. We examined the effects of two light-intensity pedaling work rates on physically inactive adults' work performance. METHODS: We recruited equal numbers of older (45-65 yr) versus younger (20-44 yr), male versus female, and overweight/obese (body mass index [BMI], 25-35 kg·m -2 ) versus normal weight (BMI, 18.5-24.9 kg·m -2 ) participants. Using a Graeco-Latin square design, participants ( n = 96) completed a laboratory experiment to evaluate the effects of using an under-desk pedaling device at two seated light-intensity work rates (17 and 25 W), relative to a seated nonpedaling condition on objectively measured typing, reading, logical reasoning, and phone task performance. Ergonomic comfort under each pedaling work rate was also assessed. Equivalence tests were used to compare work performance under the pedaling versus nonpedaling conditions. RESULTS: Treatment fidelity to the 17- and 25-W pedaling work rates exceeded 95%. Mean work performance scores for each pedaling and nonpedaling condition were equivalent under alpha = 0.025. Age, sex, and BMI did not significantly moderate the effect of pedaling on work performance. Participants reported greater ergonomic comfort while completing work tasks at the 17-W relative to the 25-W work rate. CONCLUSIONS: Physically inactive adults obtained similar work performance scores under the 17- and 25-W pedaling and the nonpedaling conditions, suggesting that either pedaling work rate could help reduce health risks of sedentary work time. The 17-W work rate yielded greater ergonomic comfort and may be an appropriate starting point for introducing diverse inactive workers to under-desk pedaling.

Magnetic resonance T1w/T2w ratio: A parsimonious marker for Parkinson disease.

OBJECTIVE: Newer magnetic resonance imaging (MRI) techniques have shown promise in capturing early Parkinson disease (PD)-related changes in the substantia nigra pars compacta (SNc), the key pathological loci. Their translational value, however, is hindered by technical complexity and inconsistent results. METHODS: A novel yet simple MRI contrast, the T1w/T2w ratio, was used to study 76 PD patients and 70 controls. The T1w/T2w ratio maps were analyzed using both voxel-based and region-of-interest approaches in normalized space. The sensitivity and specificity of the SNc T1w/T2w ratio in discriminating between PD and controls also were assessed. In addition, its diagnostic performance was tested in a subgroup of PD patients with disease duration ≤2 years (PDE). A second independent cohort of 73 PD patients and 49 controls was used for validation. RESULTS: Compared to controls, PD patients showed a higher T1w/T2w ratio in both the right (cluster size = 164mm3 , p < 0.0001) and left (cluster size = 213mm3 , p < 0.0001) midbrain that was located ventrolateral to the red nucleus and corresponded to the SNc. The region-of-interest approach confirmed the group difference in the SNc T1w/T2w ratio between PD and controls (p < 0.0001). The SNc T1w/T2w ratio had high sensitivity (0.908) and specificity (0.80) to separate PD and controls (area under the curve [AUC] = 0.926), even for PDE patients (AUC = 0.901, sensitivity = 0.857, specificity = 0.857). These results were validated in the second cohort. INTERPRETATION: The T1w/T2w ratio can detect PD-related changes in the SNc and may be used as a novel, parsimonious in vivo biomarker for the disease, particularly for early stage patients, with high translational value for clinical practice and research. ANN NEUROL 2019;85:96-104.

A Longitudinal Healthcare Use Profile of Children with a History of Neonatal Abstinence Syndrome.

OBJECTIVE: To describe healthcare use over time of children with a history of neonatal abstinence syndrome (NAS) compared with children without NAS. STUDY DESIGN: In this retrospective, longitudinal cohort study, data were obtained from MarketScan Commercial Claims and Encounters database from 2005 to 2014. Children with and without NAS based on International Classification of Diseases, Ninth Revision diagnostic codes were followed until 8 years or disenrollment (mean: 35 months). Numbers of claims for inpatient, outpatient, and emergency department encounters; prescription drugs; and costs associated with these encounters were evaluated. RESULTS: Children with NAS had a significantly greater number of claims per year from age 1 to 8 for inpatient hospitalizations (adjusted mean ratio 3.20; 95% CI 1.74-5.90), outpatient encounters (1.23; 1.08-1.41), and emergency department visits (1.46; 1.25-1.70) after we adjusted for confounders. Subsequently, adjusted mean annualized costs were nearly double for all healthcare services in children with NAS (1.86; 1.34-2.60) and >4 times as high as for inpatient hospitalizations (4.34; 2.03-9.30) compared with children without NAS. CONCLUSIONS: Children with a diagnosis of NAS have significantly greater rates of healthcare use through age 8 years compared with children without NAS. These findings suggest that children affected by NAS have medical disparities that linger well beyond early infancy.

Challenges With Implementation of a Respiratory Therapist-Driven Protocol of Spontaneous Breathing Trials in the Pediatric ICU.

BACKGROUND: Timely ventilator liberation is crucial in the pediatric ICU. In many pediatric ICUs, the decision to initiate weaning is driven by the physician, which may lead to delays in ventilator liberation. The objectives of this quality improvement project were to develop and implement a respiratory therapist (RT)-led protocol for screening for spontaneous breathing trial (SBT) readiness, to test protocol feasibility, and to evaluate its impact on SBT timing. METHODS: A retrospective chart review was performed on all intubated patients in the pediatric ICU for 18 months prior to protocol institution. An RT-driven protocol was developed and implemented, enabling consistent screening for SBT readiness. When criteria were met, an SBT was initiated after order placement. The difference in the timing of the first SBT between physician-directed screening and the RT-driven protocol was evaluated. RESULTS: A total of 219 subjects were included in this project (128 pre-intervention; 91 intervention). Baseline demographic data, including mortality risk and endotracheal tube size, were similar in both groups. The time of the first SBT (median [25th, 75th percentile]) was not significantly different between the intervention and preintervention groups (39.5 [25.3, 85.2] vs 42.6 [26.4, 81.3], respectively). There was no difference in mechanical ventilation duration, or length of hospital and ICU stay. The odds of being placed on noninvasive respiratory support were higher in the intervention group at 1 h (odds ratio [95% CI]: 2.29 [1.10, 4.78], P = .03) and 12 h (odds ratio 2.53 [1.23, 5.20], P = .01) postextubation, but the odds of re-intubation did not reach statistical significance (odds ratio 2.60 [0.73, 9.27], P = .14). RT adherence with patient screening was 56.4%. CONCLUSIONS: An RT-driven protocol was successfully introduced in an academic pediatric ICU. However, it did not impact time of SBT initiation, potentially due to the difficulty in maintaining adherence over time. RT-driven protocols require further study.

Development and Assessment of Pictorial Guide for Improved Accuracy of Visual Blood Loss Estimation in Cesarean Delivery.

INTRODUCTION: Estimated blood loss for surgical procedures performed via visual estimation is known to be an inaccurate method. Blood loss estimation is further complicated during cesarean delivery (CD) by a large volume loss for a short period as well as the presence of amniotic fluid. We hypothesized that a pictorial guide depicting premeasured blood volumes and materials commonly used in a CD would improve clinician accuracy in estimated blood loss. METHODS: A simulated CD scene was used to assess the ability of clinicians to estimate the amount of blood lost by a CD patient. Accuracy of the estimates was assessed before and after they had access to the pictorial guide created for the study. RESULTS: Before the intervention, 52% of participants estimated more than 25% above or below actual blood loss volume. With use of the guide, clinicians became more accurate at blood loss estimation. After the intervention, the number of participants estimating within 5% of the actual volume increased from 7% before to 24% (P = 0.033). CONCLUSIONS: An institution-specific pictorial guide is effective at improving the accuracy of visual blood loss estimation in a simulation and may help improve clinical care in CD.

Intensive care unit readmission during childhood after preterm birth with respiratory failure.

OBJECTIVE: To determine the incidence and risk factors for readmission to the intensive care unit (ICU) among preterm infants who required mechanical ventilation at birth. STUDY DESIGN: We studied preterm newborns (birth weight 500-1250 g) who required mechanical ventilation at birth and were enrolled in a multicenter trial of inhaled nitric oxide therapy. Patients were assessed up to 4.5 years of age via annual in-person evaluations and structured telephone interviews. Univariate and multivariable analyses of baseline and birth hospitalization predictors of ICU readmission were performed. RESULTS: Of 512 subjects providing follow-up data, 58% were readmitted to the hospital (51% of these had multiple readmissions, averaging 3.9 readmissions per subject), 19% were readmitted to an ICU, and 12% required additional mechanical ventilation support. In univariate analyses, ICU readmission was more common among male subjects (OR 2.01; 95% CI 1.27-3.18), infants with grade 3-4 intracranial hemorrhage (OR 2.13; 95% CI 1.23-3.69), increasing duration of birth hospitalization (OR 1.01 per day; 95% CI 1.00-1.02), and prolonged oxygen therapy (OR 1.01 per day; 95% CI 1.00-1.01). In the first year after birth hospitalization, children readmitted to an ICU incurred greater health care costs (median $69,700 vs $30,200 for subjects admitted to the ward and $9600 for subjects never admitted). CONCLUSIONS: Small preterm infants who were mechanically ventilated at birth have substantial risk for readmission to an ICU and late mechanical ventilation, require extensive health care resources, and incur high treatment costs.

A Partitioning Based Adaptive Method for Robust Removal of Irrelevant Features from High-dimensional Biomedical Datasets.

We propose a novel method called Partitioning based Adaptive Irrelevant Feature Eliminator (PAIFE) for dimensionality reduction in high-dimensional biomedical datasets. PAIFE evaluates feature-target relationships over not only a whole dataset, but also the partitioned subsets and is extremely effective in identifying features whose relevancies to the target are conditional on certain other features. PAIFE adaptively employs the most appropriate feature evaluation strategy, statistical test and parameter instantiation. We envision PAIFE to be used as a third-party data pre-processing tool for dimensionality reduction of high-dimensional clinical datasets. Experiments on synthetic datasets showed that PAIFE consistently outperformed state-of-the-art feature selection methods in removing irrelevant features while retaining relevant features. Experiments on genomic and proteomic datasets demonstrated that PAIFE was able to remove significant numbers of irrelevant features in real-world biomedical datasets. Classification models constructed from the retained features either matched or improved the classification performances of the models constructed using all features.