Extended Versus Standard Proning Duration for COVID-19 Associated Acute Respiratory Distress Syndrome: A Target Trial Emulation Study.

RATIONALE: Prone positioning for > 16 hours in moderate-to-severe acute respiratory distress syndrome (ARDS) improves survival. However, the optimal duration of proning is unknown. OBJECTIVE: To estimate the effect of extended versus standard proning duration on patients with moderate-to-severe COVID-19 ARDS. METHODS: Data were extracted from a 5-hospital electronic medical record registry. Patients who were proned within 72 hours of mechanical ventilation were categorized as receiving extended (> 24 hours) versus standard (16-24 hours) proning based on the first proning session length. We used a target trial emulation design to estimate the effect of extended vs. standard proning on the primary outcome of 90-day mortality, and secondary outcomes of ventilator liberation and ICU discharge. Analytically we used inverse probability of treatment weighted (IPTW) Cox, or Fine and Gray regression models. RESULTS: 314 patients were included, 234 who received extended proning, and 80 who received standard duration. Extended proning patients were older, had greater comorbidity, were more often at an academic hospital, and had shorter time from admission to mechanical ventilation. After IPTW, characteristics were well balanced. Unadjusted 90-day mortality in the extended vs. standard proning groups was 39% vs 58%. In doubly-robust IPTW analyses, we found no significant effects of extended vs. standard proning duration on mortality (hazard ratio [95% CI] 0.95 [0.51-1.77]), ventilator liberation (sub-distribution hazard [sHR] 1.60, [0.97-2.64], or ICU discharge (sHR 1.31 [0.82-2.10]). CONCLUSION: Using target trial emulation, we found no significant effect of extended vs. standard proning duration on mortality, ventilator liberation, or ICU discharge. However, given the imprecision of estimates, further study is justified. This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Hospital-Onset Bacteremia Among Neonatal Intensive Care Unit Patients.

Importance: The Centers for Disease Control and Prevention plans to introduce hospital-onset bacteremia (HOB) as a health care-associated infection measure. The epidemiology and clinical characteristics of HOB among infants admitted to the neonatal intensive care unit (NICU) are unknown. Objective: To estimate the rate of HOB among infants admitted to the NICU, measure the association of HOB risk with birth weight group and postnatal age, and estimate HOB-attributable mortality. Design, Setting, and Participants: This retrospective multicenter cohort study and emulated trial from 2016 to 2021 included a convenience sample of 322 NICUs in the United States. Participants were infants admitted to participating NICUs for 4 or more days. Exposures: The primary exposures were birth weight and postnatal age. Additional exposures included small for gestational age and central line presence. Main Outcomes and Measures: The primary study outcomes were HOB and HOB-attributable mortality. Results: Of 451 443 included infants, 250 763 (55.6%) were male, 200 680 (44.4%) were female, and 62 091 (13.8%) were born 1500 g or less. Of 9015 HOB events that occurred among 8356 infants (2%) during 8 163 432 days at risk (unadjusted incidence rate, 1.1 per 1000 patient-days; 95% CI, 1.0-1.2), 4888 HOB events (54.2%) occurred in the absence of a central line. Within the first 2 weeks after birth, the HOB rate was 14.2 per 1000 patient-days (95% CI, 12.6-16.1) among infants born 750 g or less, to 0.4 events per 1000 patient-days among infants born more than 2500 g (95% CI, 0.4-0.5). Among infants born 750 g or less, the relative HOB risk decreased by 90% after day 42 compared with days 4 to 14 (incidence rate ratio [IRR], 0.10; 95% CI, 0.1-0.1). Conversely, among infants born more than 2500 g, the relative HOB risk increased by 50% after day 42 compared with days 4 to 14 (IRR, 1.5, 95% CI, 1.2-1.9). Compared with otherwise similar infants without HOB, infants with HOB had an absolute difference in attributable mortality of 5.5% (95% CI, 4.7-6.3). Conclusions and Relevance: This study found that HOB events in the NICU are associated with increased mortality. Birth weight is an important risk factor for HOB; however, the relative rate of HOB decreases over postnatal age among low-birth-weight infants and increases among infants born more than 2500 g. Identifying strategies to prevent HOB and programs to decrease HOB risk are urgently needed to reduce infant mortality.

A joint frailty model for recurrent and competing terminal events: Application to delirium in the ICU.

Joint models linking longitudinal biomarkers or recurrent event processes with a terminal event, for example, mortality, have been studied extensively. Motivated by studies of recurrent delirium events in patients receiving care in an intensive care unit (ICU), we devise a joint model for a recurrent event process and multiple terminal events. Being discharged alive from the ICU or experiencing mortality may be associated with a patient's hazard of delirium, violating the assumption of independent censoring. Moreover, the direction of the association between the hazards of delirium and mortality may be opposite of the direction of association between the hazards of delirium and ICU discharge. Hence treating either terminal event as independent censoring may bias inferences. We propose a competing joint model that uses a latent frailty to link a patient's recurrent and competing terminal event processes. We fit our model to data from a completed placebo-controlled clinical trial, which studied whether Haloperidol could prevent death and delirium among ICU patients. The clinical trial served as a foundation for a simulation study, in which we evaluate the properties, for example, bias and confidence interval coverage, of the competing joint model. As part of the simulation study, we demonstrate the shortcomings of using a joint model with a recurrent delirium process and a single terminal event to study delirium in the ICU. Lastly, we discuss limitations and possible extensions for the competing joint model. The competing joint model has been added to frailtypack, an R package for fitting an assortment of joint models.

Participant retention in follow-up studies of intensive care unit survivors - A scoping review.

OBJECTIVE: To synthesize participant retention data and related reporting in studies evaluating post-hospital outcomes of survivors of critical illness after an intensive care unit (ICU) stay. REVIEW METHOD USED: A synthesis of literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews checklist. DATA SOURCES: PubMed, EMBASE, PsycINFO, Cumulative Index of Nursing and Allied Health Literature, and the Cochrane Controlled Trials Registry. Hand searched reference lists and personal files of relevant narrative and systematic review articles. REVIEW METHODS: Articles were screened by pairs of independent reviewers. Similarly, data were abstracted by pairs of data collectors, with conflicts resolved by consensus or by a third reviewer. RESULTS: We included 243 publications, from 225 unique studies of 87,602 participants. Participant retention could not be calculated for any time-points in 13% of studies nor in 22% of all follow-up time-points. Retention ranged from 18-100%. When compared to follow-up before 1-month, retention at each later timepoint was not significantly different. Age and sex were not associated with retention and more recent studies had decreased retention (odds ratio: 0.94 [95% confidence interval: 0.92-0.96; p < 0.001]). Reporting of retention-related study methodology was inconsistent. CONCLUSION: Retention rate could not be calculated for 22% of study follow-up time-points, with retention at the remaining time-points generally being high (≥85%), but with high variability (18% - 100%). ICU survivorship research could be improved via: (i) more detailed guidance on reporting participant retention, and (ii) use of existing resources and best practices to facilitate better study design and to improve participant retention to preserve statistical power and reduce selection bias.

An Evaluation of the Efficacy and Safety of Timolol Maleate 0.5% Microdrops Administered with the Nanodropper.

PURPOSE: To examine if 12.5 µl timolol maleate 0.5% microdrops dispensed with the Nanodropper Adaptor provide noninferior intraocular pressure (IOP) reduction compared with conventional 28 µl drops in patients with open-angle glaucoma (OAG) and ocular hypertension (OHT). DESIGN: Prospective, noninferiority, parallel, multicenter, single-masked, active-controlled, randomized trial. PARTICIPANTS: Treatment-naïve subjects who were recently diagnosed with OAG and OHT at the Aravind Eye Care System. METHODS: Both eyes of subjects received 1 commercially available drop or both eyes of subjects received 1 microdrop of timolol maleate 0.5%. We measured IOP, resting heart rate (HR), and blood pressure (BP) at baseline and 1, 2, 5, and 8 hours after timolol administration. MAIN OUTCOME MEASURES: The IOP was the primary outcome measure. Secondary outcomes were resting HR, systolic BP (sBP), and diastolic BP (dBP). RESULTS: Adaptor-mediated microdrops and conventional drops of timolol significantly decreased IOP compared with baseline at all timepoints. Noninferiority was established at 3 of 4 timepoints. Heart rate decreases with Nanodropper were approximately 3 beats per minute (bpm) less than with conventional drops. CONCLUSIONS: Timolol microdrops appear to be as effective in ocular hypotensive action as conventional drops with a slightly attenuated effect on resting HR and BP. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

Dynamic Prediction of Post-Acute Care Needs for Hospitalized Medicine Patients.

OBJECTIVES: Use patient demographic and clinical characteristics at admission and time-varying in-hospital measures of patient mobility to predict patient post-acute care (PAC) discharge. DESIGN: Retrospective cohort analysis of electronic medical records. SETTING AND PARTICIPANTS: Patients admitted to the two participating Hospitals from November 2016 through December 2019 with ≥72 hours in a general medicine service. METHODS: Discharge location (PAC vs home) was the primary outcome, and 2 time-varying measures of patient mobility, Activity Measure for Post-Acute Care (AM-PAC) Mobility "6-clicks" and Johns Hopkins Highest Level of Mobility, were the primary predictors. Other predictors included demographic and clinical characteristics. For each day of hospitalization, we predicted discharge to PAC using the demographic and clinical characteristics and most recent mobility data within a random forest (RF) for survival, longitudinal, and multivariate (RF-SLAM) data. A regression tree for the daily predicted probabilities of discharge to PAC was constructed to represent a global summary of the RF. RESULTS: There were 23,090 total patients and compared to PAC, those discharged home were younger (64 vs 71), had shorter length of stay (5 vs 8 days), higher AM-PAC at admission (43 vs 32), and average AM-PAC throughout hospitalization (45 vs 35). AM-PAC was the most important predictor, followed by age, and whether the patient lives alone. The area under the hospital day-specific receiver operating characteristic curve ranged from 0.76 to 0.79 during the first 5 days. The global summary tree explained 75% of the variation in predicted probabilities for PAC from the RF. Sensitivity (75%), specificity (70%), and accuracy (72%) were maximized at a PAC probability threshold of 40%. CONCLUSIONS AND IMPLICATIONS: Daily assessment of patient mobility should be part of routine practice to help inform care planning by hospital teams. Our prediction model could be used as a valuable tool by multidisciplinary teams in the discharge planning process.

Post-extubation Assessment of Laryngeal Symptoms and Severity (PALSS) in the Intensive Care Unit: Protocol of a Prospective Cohort Study.

Aims: The Post-extubation Assessment of Laryngeal Symptoms and Severity (PALSS) study systematically evaluates patient symptoms related to endotracheal intubation with mechanical ventilation, assesses laryngeal injury and voice function after extubation, and develops a screening tool to identify patients with clinically important, post-extubation laryngeal injury. Design: Single-center, prospective observational cohort study conducted in 6 intensive care units (ICU). Methods: Patients ≥18 years old who are orally intubated and mechanically ventilated in an ICU and meet eligibility criteria will undergo flexible laryngoscopy, with a sample size goal of 300 completed laryngoscopies. Primary outcome measures include signs and symptoms of laryngeal injury, including voice symptoms and alterations in swallowing, measured using the Laryngeal Hypersensitivity Questionnaire-Acute and Voice Symptom Scale questionnaires respectively. Data will be collected within 72 hours post-extubation and at 7-day follow-up or hospital discharge (whichever occurs first). Data will be analyzed using descriptive statistics, regression models, and predictive modeling using machine learning. Discussion: The findings of this study will describe the clinical signs and symptoms of laryngeal injury post-extubation. Conclusion: The PALSS study will provide insights for future studies that explore laryngeal injuries using flexible laryngoscopy after endotracheal intubation. Implications for patient care: Identifying signs and symptoms of laryngeal injury after endotracheal intubation will facilitate the development of a screening tool that will assist in early identification of post-extubation laryngeal injury, and aid in decreasing short- and long-term complications of endotracheal intubation. Reporting Method: SPIRIT. Patient or Public Contribution: Patients were study participants; and family members provided informed consent when the patient lacked decision-making capacity.

Association of Longitudinal Mobility Levels in the Hospital and Injurious Inpatient Falls.

ABSTRACT: Falls are one of the most common adverse events in hospitals, and patient mobility is a key risk factor. In hospitals, risk assessment tools are used to identify patient-centered fall risk factors and guide care plans, but these tools have limitations. To address these issues, we examined daily patient mobility levels before injurious falls using the Johns Hopkins Highest Level of Mobility, which quantifies key patient mobility milestones from low-level to community distances of walking. We aimed to identify longitudinal characteristics of patient mobility before a fall to help identify fallers before the event. Conducting a retrospective matched case-control analysis, we compared mobility levels in the days leading up to an injurious fall between fallers and nonfallers. We observed that patients who experienced an injurious fall, on average, spent 28% of their time prefall at a low mobility level (Johns Hopkins Highest Level of Mobility levels 1-4), compared with nonfallers who spent 19% of their time at a low mobility level (mean absolute difference, 9%; 95% confidence interval, 1%-16%; P = 0.026; relative difference, 44%). This suggests that assessing a patient's mobility levels over time can help identify those at an increased risk for falls and enable hospitals to manage mobility problems more effectively.

A Survey of PICU Clinician Practices and Perceptions regarding Respiratory Cultures in the Evaluation of Ventilator-Associated Infections in the BrighT STAR Collaborative.

OBJECTIVES: To characterize respiratory culture practices for mechanically ventilated patients, and to identify drivers of culture use and potential barriers to changing practices across PICUs. DESIGN: Cross-sectional survey conducted May 2021-January 2022. SETTING: Sixteen academic pediatric hospitals across the United States participating in the BrighT STAR Collaborative. SUBJECTS: Pediatric critical care medicine physicians, advanced practice providers, respiratory therapists, and nurses. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We summarized the proportion of positive responses for each question within a hospital and calculated the median proportion and IQR across hospitals. We correlated responses with culture rates and compared responses by role. Sixteen invited institutions participated (100%). Five hundred sixty-eight of 1,301 (44%) e-mailed individuals completed the survey (median hospital response rate 60%). Saline lavage was common, but no PICUs had a standardized approach. There was the highest variability in perceived likelihood (median, IQR) to obtain cultures for isolated fever (49%, 38-61%), isolated laboratory changes (49%, 38-57%), fever and laboratory changes without respiratory symptoms (68%, 54-79%), isolated change in secretion characteristics (67%, 54-78%), and isolated increased secretions (55%, 40-65%). Respiratory cultures were likely to be obtained as a "pan culture" (75%, 70-86%). There was a significant correlation between higher culture rates and likelihood to obtain cultures for isolated fever, persistent fever, isolated hypotension, fever, and laboratory changes without respiratory symptoms, and "pan cultures." Respondents across hospitals would find clinical decision support (CDS) helpful (79%) and thought that CDS would help align ICU and/or consulting teams (82%). Anticipated barriers to change included reluctance to change (70%), opinion of consultants (64%), and concern for missing a diagnosis of ventilator-associated infections (62%). CONCLUSIONS: Respiratory culture collection and ordering practices were inconsistent, revealing opportunities for diagnostic stewardship. CDS would be generally well received; however, anticipated conceptual and psychologic barriers to change must be considered.

Instrument adaptation and preliminary validation study of the Laryngeal Hypersensitivity Questionnaire used for assessment of laryngeal symptoms in patients with artificial airways.

BACKGROUND: The Newcastle Laryngeal Hypersensitivity Questionnaire (LHQ) was developed to measure abnormal laryngeal sensation and was originally validated in a patient sample from otolaryngologic and respiratory outpatient clinics. Modification is needed for patients who are mechanically ventilated via an endotracheal tube or a tracheostomy tube. OBJECTIVES: We sought to adapt and preliminarily validate a modified version of the LHQ appropriate for nurses and other clinicians to administer in acute hospital settings called the LHQ-Acute (LHQ-A). METHODS: Internal consistency and construct validity analyses using secondary data from patients at a tertiary teaching hospital who presented with symptoms of laryngeal irritability/hypersensitivity between September 2012 and October 2013 were performed. RESULTS: A total of 131 patients, most complaining of coughing and dysphonia, with a median age of 58 (interquartile range: 48, 66) years and 29 healthy participants with a median age of 62 (interquartile range: 50, 66) years were analysed. The original LHQ was reduced from 14 questions with responses on a 7-point scale to the LHQ-A containing 13 questions with responses on a 4-point scale. Correlations between items of the LHQ and LHQ-A were similar, and internal consistency was excellent and highly comparable, with Cronbach's alpha = 0.906 and 0.902, respectively. CONCLUSIONS: The LHQ-A, which has been adapted for nurses and other clinicians to administer to a critically ill patient population, demonstrated comparable reliability and validity to the original LHQ. Validation of the LHQ-A in independent patient populations from acute settings is necessary to better understand norms and changes during recovery from acute illness.

Evaluating preschool linear growth velocities: an interim reference illustrated in Nepal.

OBJECTIVE: An annualised linear growth velocity (LGV) reference can identify groups of children at risk of growing poorly. As a single velocity reference for all preschool ages does not exist, we present an interim tool, derived from published, normative growth studies, for detecting growth faltering, illustrating its use in Nepali preschoolers. DESIGN: The WHO Child Growth Velocity Standard was adapted to derive 12-month increments and conjoined to the Tanner-Whitehouse Height Velocity Reference data yielding contiguous preschool linear growth annualised velocities. Linear restricted cubic spline regressions were fit to generate sex-specific median and standard normal deviate velocities for ages 0 through 59 months. LGV Z-scores (LGVZ) were constructed, and growth faltering was defined as LGVZ < ­2. SETTING: Use of the reference was illustrated with data from Nepal's Tarai region. PARTICIPANTS: Children contributing the existing growth references and a cohort of 4276 Nepali children assessed from 2013 to 2016. RESULTS: Fitted, smoothed LGV reference curves displayed monotonically decreasing 12-month LGV, exemplified by male/female annual medians of 26·4/25·3, 12·1/12·7, 9·1/9·4, 7·7/7·8 and 7/7 cm/years, starting at 0, 12, 24, 36 and 48 months, respectively. Applying the referent, 31·1 %, 28·6 % and 29·3 % of Nepali children <6, 6­11 and 12­23 months of age, and ∼6 % of children 24­59 months, exhibited growth faltering. Under 24 months, faltering velocities were more prevalent in girls (34·4 %) than boys (25·3 %) (P < 0·05) but comparable (∼6 %) in older preschoolers. CONCLUSIONS: A LGV reference, concatenated from extant data, can identify preschool groups at-risk of growth faltering. Application and limitations are discussed.

Sustainability of the Bright STAR Diagnostic Stewardship Program to Reduce Blood Culture Rates Among Critically Ill Children.

This quality improvement study evaluates whether pediatric intensive care units sustained reduced blood culture rates after participation in the Bright STAR collaborative from 2017 to 2020.

Application of Participatory Ergonomics to the Dissemination of a Quality Improvement Program for Optimizing Blood Culture Use.

BACKGROUND: Blood cultures are overused in pediatric ICUs (PICUs), which may lead to unnecessary antibiotic use and antibiotic resistance. Using a participatory ergonomics (PE) approach, the authors disseminated a quality improvement (QI) program for optimizing blood culture use in PICUs to a national 14-hospital collaborative. The objective of this study was to evaluate the dissemination process and its impact on blood culture reduction. METHODS: The PE approach emphasized three key principles (stakeholder participation, application of human factors and ergonomics knowledge and tools, and cross-site collaboration) with a six-step dissemination process. Data on interactions between sites and the coordinating team and site experiences with the dissemination process were collected using site diaries and semiannual surveys with local QI teams, respectively, and correlated with the site-specific change in blood culture rates. RESULTS: Overall, participating sites were able to successfully implement the program and reduced their blood culture rates from 149.4 blood cultures per 1,000 patient-days/month before implementation to 100.5 blood cultures per 1,000 patient-days/month after implementation, corresponding to a 32.7% relative reduction (p < 0.001). Variations in the dissemination process, as well as in local interventions and implementation strategies, were observed across sites. Site-specific changes in blood culture rates were weakly negatively correlated with the number of preintervention interactions with the coordinating team (p = 0.057) but not correlated with their experiences with the six domains of the dissemination process or their interventions. CONCLUSIONS: The authors applied a PE approach to disseminate a QI program for optimizing PICU blood culture use to a multisite collaborative. Working with local stakeholders, participating sites tailored their interventions and implementation processes and achieved the goal of reducing blood culture use.

Comparison of Administrative Database-Derived and Hospital-Derived Data for Monitoring Blood Culture Use in the Pediatric Intensive Care Unit.

BACKGROUND: Optimizing blood culture practices requires monitoring of culture use. Collecting culture data from electronic medical records can be resource intensive. Our objective was to determine whether administrative data could serve as a data source to measure blood culture use in pediatric intensive care units (PICUs). METHODS: Using data from a national diagnostic stewardship collaborative to reduce blood culture use in PICUs, we compared the monthly number of blood cultures and patient-days collected from sites (site-derived) and the Pediatric Health Information System (PHIS, administrative-derived), an administrative data warehouse, for 11 participating sites. The collaborative's reduction in blood culture use was compared using administrative-derived and site-derived data. RESULTS: Across all sites and months, the median of the monthly relative blood culture rate (ratio of administrative- to site-derived data) was 0.96 (Q1: 0.77, Q3: 1.24). The administrative-derived data produced an estimate of blood culture reduction over time that was attenuated toward the null compared with site-derived data. CONCLUSIONS: Administrative data on blood culture use from the PHIS database correlates unpredictably with hospital-derived PICU data. The limitations of administrative billing data should be carefully considered before use for ICU-specific data.

Impact of a multifaceted early mobility intervention for critically ill children - the PICU Up! trial: study protocol for a multicenter stepped-wedge cluster randomized controlled trial.

BACKGROUND: Over 50% of all critically ill children develop preventable intensive care unit-acquired morbidity. Early and progressive mobility is associated with improved outcomes in critically ill adults including shortened duration of mechanical ventilation and improved muscle strength. However, the clinical effectiveness of early and progressive mobility in the pediatric intensive care unit has never been rigorously studied. The objective of the study is to evaluate if the PICU Up! intervention, delivered in real-world conditions, decreases mechanical ventilation duration (primary outcome) and improves delirium and functional status compared to usual care in critically ill children. Additionally, the study aims to identify factors associated with reliable PICU Up! delivery. METHODS: The PICU Up! trial is a stepped-wedge, cluster-randomized trial of a pragmatic, interprofessional, and multifaceted early mobility intervention (PICU Up!) conducted in 10 pediatric intensive care units (PICUs). The trial's primary outcome is days alive free of mechanical ventilation (through day 21). Secondary outcomes include days alive and delirium- and coma-free (ADCF), days alive and coma-free (ACF), days alive, as well as functional status at the earlier of PICU discharge or day 21. Over a 2-year period, data will be collected on 1,440 PICU patients. The study includes an embedded process evaluation to identify factors associated with reliable PICU Up! delivery. DISCUSSION: This study will examine whether a multifaceted strategy to optimize early mobility affects the duration of mechanical ventilation, delirium incidence, and functional outcomes in critically ill children. This study will provide new and important evidence on ways to optimize short and long-term outcomes for pediatric patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT04989790. Registered on August 4, 2021.

A unit-based, multi-center evaluation of adopting mobility measures and daily mobility goals in the hospital setting.

BACKGROUND: Promoting patient mobility helps improve patient outcomes, but mobility status is not widely tracked nor do patients have specific individualized mobility goals. PURPOSE: We evaluated nursing adoption of mobility measures and daily mobility goal achievement using the Johns Hopkins Mobility Goal Calculator (JH-MGC), a tool to guide an individualized patient mobility goal based on the level of mobility capacity. METHOD: Built on a translating research into practice framework, the Johns Hopkins Activity and Mobility Promotion (JH-AMP) program was the vehicle to promote use of the mobility measures and the JH-MGC. We evaluated a large-scale implementation effort of this program on 23 units across two medical centers. FINDINGS: Units significantly improved documentation compliance to mobility measures and achieving daily mobility goals. Units with the highest documentation compliance rates had higher rates of daily mobility goal achievement, especially for longer distance ambulation goals. DISCUSSION: The JH-AMP program improved adoption of mobility status tracking and higher nursing inpatient mobility levels.

Association of healthcare worker behaviors with coronavirus disease 2019 (COVID-19) risk during four pandemic periods and characteristics associated with high-risk behaviors.

In a large healthcare worker cohort, we quantified the association between behaviors and risk of coronavirus disease 2019 (COVID-19) during different pandemic phases, adjusting for prior infection and vaccination. Individual characteristics, including personal concerns, were associated with these behaviors. Public health messaging should target high-risk populations and behaviors as the pandemic evolves.

Revealing the tension: The relationship between high fall risk categorization and low patient mobility.

BACKGROUND: Using an inpatient fall risk assessment tool helps categorize patients into risk groups which can then be targeted with fall prevention strategies. While potentially important in preventing patient injury, fall risk assessment may unintentionally lead to reduced mobility among hospitalized patients. Here we examined the relationship between fall risk assessment and ambulatory status among hospitalized patients. METHODS: We conducted a retrospective cohort study of consecutively admitted adult patients (n = 48,271) to a quaternary urban hospital that provides care for patients of broad socioeconomic and demographic backgrounds. Non-ambulatory status, the primary outcome, was defined as a median Johns Hopkins Highest Level of Mobility <6 (i.e., patient walks less than 10 steps) throughout hospitalization. The primary exposure variable was the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) category (Low, Moderate, High). The capacity to ambulate was assessed using the Activity Measure for Post-Acute Care (AM-PAC). Multivariable regression analysis controlled for clinical demographics, JHFRAT items, AM-PAC, comorbidity count, and length of stay. RESULTS: 8% of patients at low risk for falls were non-ambulatory, compared to 25% and 54% of patients at moderate and high risk for falls, respectively. Patients categorized as high risk and moderate risk for falls were 4.6 (95% CI: 3.9-5.5) and 2.6 (95% CI: 2.4-2.9) times more likely to be non-ambulatory compared to patients categorized as low risk, respectively. For patients with high ambulatory potential (AM-PAC 18-24), those categorized as high risk for falls were 4.3 (95% CI: 3.5-5.3) times more likely to be non-ambulatory compared to patients categorized as low risk. CONCLUSIONS: Patients categorized into higher fall risk groups had decreased mobility throughout their hospitalization, even when they had the functional capacity to ambulate.

Neutralizing SARS-CoV-2 Spike Antibodies against Omicron in Paired Samples after Two or Three Doses of mRNA Vaccine.

SARS-CoV-2 antibody levels wane following two-doses of mRNA vaccination. An mRNA booster dose provides increased protection against hospitalization and death. We demonstrated that a booster dose provides a significant increase in the neutralization of the Beta, Delta and Omicron variants in addition to an increased neutralization of the vaccine strain. The total spike IgG measurements, obtained by using commercial kits that target the spike protein from the vaccine strain, may not reflect serum neutralization against variants of concern. IMPORTANCE This study found little to no neutralizing capability following a 2-dose mRNA vaccine series against the omicron variant, and neutralizing capacity to any variant strain tested was lost by 8-months post 2-dose series. However, the mRNA booster dose eliminated the immune escape observed by the Omicron variant, following the 2-dose series. Even more, the neutralizing titers were significantly higher for all variants post-boost, compared to the titers from the post-two-dose series. Our data are unique, using paired samples that eliminate potential confounders that may impact vaccine response. Notably, as seen after the primary two-dose vaccine series, total antibody levels did not correlate perfectly with variant neutralization activity, suggesting that simply testing titers as a measure of protection may not be a long-term solution. Therefore, it is important to reassess the utility of SARS-CoV-2 antibody testing, as current vaccine strain-based testing may not reliably detect reactive antibodies to Omicron or other variants of concern.

Improving patient selection for use of consumer grade physical activity monitors in the hospital.

BACKGROUND: Bedrest is toxic for inpatients and consumer grade physical activity monitors offer an economical solution to monitor patient ambulation. But these devices may not be accurate in debilitated hospitalized patients who frequently ambulate very slowly. OBJECTIVE: To determine whether measures of physical capacity can help identify inpatients for whom wearable physical activity monitors may accurately measure step count. METHODS: Prospective observational study of 54 adult inpatients with acute neurological diagnoses. Patients were assessed using 2 physical capacity assessments (Activity Measure for Post-Acute Care Inpatient Mobility Short Form [AM-PAC IMSF] and Katz Activities of Daily Living [ADL] scale). They also completed a 2-minute walk test (2MWT) wearing a consumer grade physical activity monitor. RESULTS: The wearable activity monitor recorded steps (initiated) in 33 (61%) of the inpatients, and for 94% of inpatients with gait speeds >0.43 m/s. Physical capacity assessments correlated well with gait speed, AM-PAC IMSF r = 0.7, and Katz ADL r = 0.6, p < 0.05. When the physical activity monitor initiated, the mean absolute percent error (SD) comparing device calculated steps to observed steps, was 10% (13). AM-PAC IMSF (T-score >45) and Katz ADL (>5) cutoff scores identified inpatients for whom physical activity monitors initiated with a sensitivity of 94 and 91%, respectively. CONCLUSIONS: Physical capacity assessments, such as AM-PAC, and Katz ADL, may be a useful and feasible screening strategy to help identify inpatients where wearable physical activity monitors can measure their mobility.