Performance of ChatGPT and Google Translate for Pediatric Discharge Instruction Translation.

BACKGROUND AND OBJECTIVES: Patients who speak languages other than English face barriers to equitable healthcare delivery. Machine translation systems, including emerging large language models, have the potential to expand access to translation services, but their merits and limitations in clinical practice remain poorly defined. We aimed to assess the performance of Google Translate and ChatGPT for multilingual translation of pediatric discharge instructions. METHODS: Twenty standardized discharge instructions for pediatric conditions were translated into Spanish, Brazilian Portuguese, and Haitian Creole by professional translation services, Google Translate and ChatGPT-4.0, and evaluated for adequacy (preserved information), fluency (grammatical correctness), meaning (preserved connotation), and severity (clinical harm), along with assessment of overall preference. Domain-level ratings and preferred translation source were summarized with descriptive statistics and compared with professional translations. RESULTS: Google Translate and ChatGPT demonstrated similar domain-level ratings to professional translations for Spanish and Portuguese. For Haitian Creole, compared with both Google Translate and ChatGPT, professional translations demonstrated significantly greater adequacy, fluency meaning, and severity scores. ChatGPT (33.3%, P < .001) and Google Translate (23.3%, P = .024) contained more potentially clinically significant errors (severity score ≤3) for Haitian Creole than professional translations (8.3%). Professional Haitian Creole (48.3%) and Portuguese (43.3%), but not Spanish (15%), translations were most frequently preferred among translation sources. CONCLUSIONS: Machine translation platforms have comparable performance to professional translations for Spanish and Portuguese but shortcomings in quality, accuracy, and preference persist for Haitian Creole. Diverse multilingual training data are needed, along with regulations ensuring safe and equitable applications of machine translation in clinical practice.

Impact of the COVID-19 Pandemic on Blood Lead Testing in Children in the United States.

The study objective was to evaluate the impact of the coronavirus disease (COVID-19) pandemic on pediatric blood lead testing in the United States. Clinical laboratory pediatric (ages <6 years) blood lead level (BLL) tests performed by Quest Diagnostics, January 2019-March 2022, were analyzed. Patients were categorized by age, by sex, and, through matching by ZIP code with US Census data, for race, ethnicity, pre-1950 housing, and poverty estimates. Over 2.8 million results from children (<6 years old) from all 50 states and the District of Columbia were included. Compared to March-May 2019, BLL testing was lower by 53.6% in March-May 2020 and lower by 14.6% in March-May 2021. Testing rebounded more for children in predominantly White non-Hispanic communities and among children living in communities, based on ZIP codes, with the least pre-1950 housing stock and lowest poverty rates. The proportion of children with BLL at or above the United States Centers for Disease Control and Prevention reference values of 3.5 and 5.0 µg/dL fell by 19% and 24%, respectively, in 2021 versus 2019. In conclusion, pediatric BLL testing has rebounded from sharp declines during the early pandemic period but unevenly. Declines in the proportion of children with elevated BLL should be interpreted with caution, as testing rebounds were less robust among communities with the highest risk of lead poisoning, notably communities with the oldest housing stock and higher poverty rates. More public health efforts are needed to address lead toxicity throughout the United States, especially in communities that did not experience a full rebound subsequent to the early COVID-19 pandemic period.

A Proof-of-Concept Model for Implementing a "Smart-NICU" to Improve Infant Mortality.

Low- and middle-income countries face limited critical care capacity due to constraints in staffing, resources, and technology. "Smart ICUs" that integrate telehealth to augment care delivery, communication, and data integration have the potential to bridge these gaps and reduce preventable morbidity and mortality. While their efficacy has been well validated in adult populations, applications of Smart-ICU services in the neonatal population have not been studied. Neonatal intensive care units (NICUs) in India using a common Smart-NICU platform, developed by CloudPhysician, utilize a hub-and-spokes framework along with locally designed technology to facilitate remote patient care in collaboration with local health systems. In this article, we investigate the operational characteristics and performance outcomes for Smart-NICU deployment from the 18 NICUs and 214 beds deployed to date. These findings highlight the potential impact of Smart-NICUs and establish generalizable principles for implementation in low-resource settings.

A pragmatic calibration of the ROX index to predict outcome of nasal high-flow therapy in India.

PURPOSE: Identifying thresholds at which the ROX index would satisfactorily predict HFNC failure across heterogenous resourced contexts is necessary for clinical use. METHODS: Patients ≥18 years admitted to 30 diverse ICUs across 10 states in India who required HFNC for respiratory support were retrospectively included in this study. Patient data and hourly ROX indices were then analyzed and contextualized to clinical outcomes as well as with ROX index thresholds in other regions of the world. MEASUREMENTS AND MAIN RESULTS: Among the 614 patients included, 276 (44.9%) required respiratory escalation. Pneumonia was the most common diagnosis on admission. Receiver operating characteristic curve analysis revealed that a baseline ROX score of 7.86 was similar to 4.88 in other populations which was confirmed by Kaplan-Mier curves (hazard ratio,3.58 (2.72-4.69, p < 0.001)). ROX scores at 11.84 or 5.89 had roles in screening and confirming HFNC failure. The index performed poorly in a subset of patients who died without respiratory escalation. The ROX index was most predictive in the initial hours of ICU admission and a longer duration of HFNC was associated with more severe outcomes. CONCLUSIONS: When optimally calibrated this index can using a method that can reliably predict the risk of HFNC failure among ICU patients from diverse settings.

Acute Steroid-Refractory Gastrointestinal Graft-Versus-Host Disease Is Not Associated With Significant Differences in Gut Taxonomic Composition Compared to Steroid-Sensitive Gastrointestinal Graft-Versus-Host Disease Immediately Before Onset of Disease.

Taxonomic composition of the gut microbiota at the time of neutrophil engraftment is associated with the development of acute gastrointestinal graft-versus-host disease (GI GVHD) in patients undergoing allogeneic hematopoietic stem cell transplantation. However, less is known about the relationship between the gut microbiota and development of steroid-refractory GI GVHD immediately before the onset of disease. Markers of steroid-refractory GI GVHD are needed to identify patients who may benefit from the early initiation of non-corticosteroid-based GVHD treatment. Our aim was to identify differences in taxonomic composition in stool samples from patients without GVHD, with steroid-responsive GVHD and with steroid-refractory GI GVHD to identify predictive microbiome biomarkers of steroid-refractory GI GVHD. We conducted a retrospective case-control, single institution study, performing shotgun metagenomic sequencing on stool samples from patients with (n = 36) and without GVHD (n = 34) matched for time since transplantation. We compared the taxonomic composition of the gut microbiome in those with steroid-sensitive GI GVHD (n = 17) and steroid-refractory GI GVHD (n = 19) to each other and to those without GVHD. We also performed associations between steroid-refractory GI GVHD, gut taxonomic composition, and fecal calprotectin, a marker of GI GVHD to develop composite fecal markers of steroid-refractory GVHD before the onset of GI disease. We found that fecal samples within 30 days of GVHD onset from patients with and without GVHD or with and without steroid-refractory GI GVHD did not differ significantly in Shannon diversity (alpha-diversity) or in overall taxonomic composition (beta-diversity). Although those patients without GVHD had higher relative abundance of Clostridium spp., those with and without steroid-refractory GI GVHD did not significantly differ in taxonomic composition between one another. In our study, fecal calprotectin before disease onset was significantly higher in patients with GVHD compared to those without GVHD and higher in patients with steroid-refractory GI GVHD compared to steroid-sensitive GI GVHD. No taxa were significantly associated with higher levels of calprotectin.

A regulatory pathway model of neuropsychological disruption in Havana syndrome.

Introduction: In 2016 diplomatic personnel serving in Havana, Cuba, began reporting audible sensory phenomena paired with onset of complex and persistent neurological symptoms consistent with brain injury. The etiology of these Anomalous Health Incidents (AHI) and subsequent symptoms remains unknown. This report investigates putative exposure-symptom pathology by assembling a network model of published bio-behavioral pathways and assessing how dysregulation of such pathways might explain loss of function in these subjects using data available in the published literature. Given similarities in presentation with mild traumatic brain injury (mTBI), we used the latter as a clinically relevant means of evaluating if the neuropsychological profiles observed in Havana Syndrome Havana Syndrome might be explained at least in part by a dysregulation of neurotransmission, neuro-inflammation, or both. Method: Automated text-mining of >9,000 publications produced a network consisting of 273 documented regulatory interactions linking 29 neuro-chemical markers with 9 neuropsychological constructs from the Brief Mood Survey, PTSD Checklist, and the Frontal Systems Behavior Scale. Analysis of information flow through this network produced a set of regulatory rules reconciling to within a 6% departure known mechanistic pathways with neuropsychological profiles in N = 6 subjects. Results: Predicted expression of neuro-chemical markers that jointly satisfy documented pathways and observed symptom profiles display characteristically elevated IL-1B, IL-10, NGF, and norepinephrine levels in the context of depressed BDNF, GDNF, IGF1, and glutamate expression (FDR < 5%). Elevations in CRH and IL-6 were also predicted unanimously across all subjects. Furthermore, simulations of neurological regulatory dynamics reveal subjects do not appear to be "locked in" persistent illness but rather appear to be engaged in a slow recovery trajectory. Discussion: This computational analysis of measured neuropsychological symptoms in Havana-based diplomats proposes that these AHI symptoms may be supported in part by disruption of known neuroimmune and neurotransmission regulatory mechanisms also associated with mTBI.

Impact of the COVID-19 Pandemic on Childhood Lead Testing and Blood Lead Levels.

OBJECTIVE: To evaluate the effect of the COVID-19 pandemic on childhood lead testing and blood lead levels. METHODS: A retrospective analysis of lead tests and results was performed across 3 urban medical centers during the pre-COVID-19 (March 10, 2019-March 9, 2020) and COVID-19 (March 10, 2020-March 10, 2022) periods. Interrupted time series analysis with quasi-Poisson regression was used to evaluate changes in lead testing between study periods. The relationship between sociodemographic features with detectable (≧2 µg/dL) and elevated (≧3.5 µg/dL) blood lead levels (BLLs) was assessed with multivariable logistic regression. RESULTS: Among a total of 16,364 lead tests across 10,362 patients, weekly testing rates significantly decreased during COVID-19 (relative risk (RR) 0.64, 95% (confidence interval) CI 0.53-0.78). Census tracts with the greatest proportion of pre-1950s housing had a stronger association with detectable BLLs during the COVID-19 period (pre-COVID-19 adjusted odds ratio (aOR) 1.73, 95% CI 1.35-2.20; aOR 2.58, 95% CI 2.13-3.12; interaction P value .014). When limited to 1 year following COVID-19 (March 10, 2020-March 10, 2021), the association between both elevated BLLs (pre-COVID-19: aOR 1.49, 95% CI 0.87-2.53; COVID-19: aOR 3.51, 95% CI 1.98-6.25; interaction P value .032) and detectable BLLs with pre-1950s housing were greater during the COVID-19 period (pre-COVID-19: aOR 1.73, 95% CI 1.35-2.20; COVID-19: aOR 2.56, 95% CI 1.95-3.34; interaction P value .034). CONCLUSIONS: The COVID-19 pandemic led to a significant reduction in lead surveillance and magnified the effect of known risk factors for lead exposure. Concerted clinical, public health, and community advocacy are needed to address care gaps and excess cases of lead poisoning.

Evaluation of Housing Affordability Among US Resident Physicians.

This cross-sectional study evaluates the extent of housing unaffordability among US residency programs.

The utilization of clinical decision support tools to identify neonatal hypothermia and its associated risk factors: A prospective observational study.

Hypothermia (axillary temperature less than 36.5°) is a major source of neonatal morbidity and mortality, with a disproportionate burden of disease in low- and middle-income countries. Despite the importance of thermoregulation on newborn outcomes, the global epidemiologic landscape of neonatal hypothermia is poorly characterized. Clinical decision support (CDS) software provides point-of-care recommendations to guide clinical management and may support data capture in settings with limited informatics infrastructure. Towards this end, we conducted a prospective observational study of the NoviGuide, a novel CDS platform for newborn care, at four health facilities in Uganda between September 2022 to May 2021. Data were extracted from clinical information (e.g. axillary temperature, birth weight, gestational age) entered into the NoviGuide by nurses and midwives on newborns within 24 hours of delivery. Descriptive statistics and multivariable logistic regression were used to evaluate neonatal temperature profiles and the association between hypothermia and clinical features. Among 1,027 completed assessments, 30.5% of entries had neonatal hypothermia with significant variation across study sites. On multivariable logistic regression analysis, we found that hypothermia was independently associated with pre-term birth (Adjusted Odd's Ratio [aOR] 2.62, 95% Confidence interval [CI] 1.38-4.98), sepsis/concern for sepsis (aOR 2.73, 95% CI 2.90-3.94), and hypoglycemia/concern for hypoglycemia (aOR 1.78, 95% CI 1.17-2.72). Altogether, neonatal hypothermia was commonly entered into the NoviGuide and associated clinical characteristics aligned with previous studies based on conventional data collection instruments. Our results should be contextualized within unique technical and operational features of CDS tools, including a bias towards acutely ill patients and limited quality control. Nonetheless, this study demonstrates that a CDS used voluntarily by clinicians has the potential to fill key data gaps and drive quality improvement towards reducing neonatal hypothermia in low resource settings.

Race and Ethnicity Reporting and Representation in Pediatric Clinical Trials.

BACKGROUND AND OBJECTIVES: Representative enrollment of racial and ethnic minoritized populations in biomedical research ensures the generalizability of results and equitable access to novel therapies. Previous studies on pediatric clinical trial diversity are limited to subsets of journals or disciplines. We aimed to evaluate race and ethnicity reporting and representation in all US pediatric clinical trials on ClinicalTrials.gov. METHODS: We performed a cross-sectional study of US-based clinical trials registered on ClinicalTrials.gov that enrolled participants aged <18 years old between October 2007 and March 2020. We used descriptive statistics, compound annual growth rates, and multivariable logistic regression for data analysis. Estimates of US population statistics and disease burden were calculated with the US Census, Kids' Inpatient Database, and National Survey of Children's Health. RESULTS: Among 1183 trials encompassing 405 376 participants, race and ethnicity reporting significantly increased from 27% in 2007 to 87% in 2018 (P < .001). The median proportional enrollment of Asian American children was 0.6% (interquartile range [IQR], 0%-3.7%); American Indian, 0% (IQR, 0%-0%); Black, 12% (IQR, 2.9%-28.4%); Hispanic, 7.1% (IQR, 0%-18.6%); and white 66.4% (IQR, 41.5%-81.6%). Asian American, Black, and Hispanic participants were underrepresented relative to US population demographics. Compared with expected proportions based on disease prevalence and hospitalizations, Asian American and Hispanic participants were most consistently underrepresented across diagnoses. CONCLUSIONS: While race and ethnicity reporting in pediatric clinical trials has improved, the representative enrollment of minoritized participants remains an ongoing challenge. Evidence-based and policy solutions are needed to address these disparities to advance biomedical innovation for all children.

A Prescription for Internet: Feasibility of a Tablet Loaner Program to Address Digital Health Inequities.

OBJECTIVE: The coronavirus disease 2019 pandemic accelerated the adoption of telehealth technologies. Persistent disparities in telecommunication devices, internet connectivity, and digital literacy, however, undermine the potential for telemedicine to reduce barriers to health care access. Health systems may have a role in addressing these structural inequities. We describe the operationalization and feasibility of an internet-enabled tablet loaner program at a freestanding children's hospital. METHODS: Between October 2020 and October 2021, pediatricians enrolled families through ambulatory clinics at an academic urban freestanding children's hospital. Eligibility criteria included difficulty accessing virtual care due to lack of stable internet or device. Tablets featured an unlimited data package, access to the patient portal, and virtual visit platform. A private technology company managed device configuration and distribution. To characterize program impact, we compared the proportion of completed clinical encounters during the intervention compared with a preintervention period (March 2020-October 2020) and conducted a qualitative survey with program participants. Participant and visit characteristics were obtained from the electronic medical record and summarized with descriptive statistics. RESULTS: A total of 111 families participated in the tablet loaner program, the majority of whom were Hispanic (51.4%) and black, non-Hispanic (26.1%), and publicly insured (64.9%). Between the preintervention and intervention periods, there was a significant increase in completed video- and phone-based virtual visits (75.3 vs. 79.1%, p = 0.038). The proportion of video-based only visits increased from 82.9 to 88.9%. p < 0.001. Families reported that the tablet improved the patient's ability to receive medical care (93.7%) and was easy to use (93.9%). CONCLUSION: The tablet loaner initiative was associated with an improvement in markers of virtual visit engagement and health care experience. Efforts to expand telemedicine equity must consider technological access and digital literacy as well as broad coalitions across industry, government, and community organizations.

Open source approaches for pediatric global health technologies.

Access to medical technologies is a critical component of universal access to care; however, the advancement of technologies for children has historically lagged behind those for adults. The small market size, anatomic and physiologic variability, and legal and ethical implications pose unique barriers to developing and commercialising paediatric biomedical innovations. These challenges are magnified in low-resource settings (LRS), which often lack appropriate regulatory oversight, support for service contracts, and supply chain capacity. The COVID-19 pandemic exposed shortcomings in the traditional industry model for medical technologies, while also catalysing open-source approaches to technology development and dissemination. Open-source pathways - where products are freely licenced to be distributed and modified - addressed key shortages in critical equipment. Relatedly, we argue that open-source approaches can accelerate paediatric global health technology development. Open-source approaches can be tailored to clinical challenges independent of economic factors, embrace low-cost manufacturing techniques, and can be highly customisable. Furthermore, diverse stakeholders, including families and patients, are empowered to participate in collaborative communities of practice. How to regulate the development, manufacture, and distribution of open-source technologies remains an ongoing area of exploration. The need for democratised innovation must be carefully balanced against the imperatives of safety and quality for paediatric-specific solutions. This can be achieved, in part, through close coordination between national regulatory agencies and decentralised networks where products can be peer-reviewed and tested. Altogether, there is significant potential for open source to advance more equitable and sustainable medical innovations for all children.

A Community-Based COVID-19 Vaccine Education Initiative.

Coronavirus disease 2019 (COVID-19) has had a disparate impact on Black and Latinx communities. Even before the COVID-19 pandemic, inaccessibility and distrust of the medical community rooted in historical oppression led to hesitancy about medical interventions. In Boston, COVID-19 vaccination rates of Black and Latinx adolescents lagged behind their white and Asian peers. In response, Boston Medical Center created community vaccine clinic sites across Suffolk County. Pediatric resident physicians subsequently partnered with Boston Medical Center to establish an accompanying education program entitled "Ask-a-Doc" to help improve health literacy and address vaccine hesitancy that focused on Black and Latinx adolescents. In partnership with multidisciplinary stakeholders, including Boston Public School leaders, Ask-a-Doc pediatric resident physicians staffed 46 community vaccine events in 15 zip codes. At these events, 1521 vaccine doses were administered, with most administered to Black and Latinx community members. As of January 1, 2022, 67% of 51 first-year pediatric resident physicians had participated. Ask-A-Doc is an example of a community-based intervention that directly targets health inequities and misinformation and demonstrates that pediatric resident physicians can meaningfully engage in community outreach with sufficient protected time, resources, and institutional support. The resulting connections may lead to greater trust and credibility within systematically oppressed communities.

Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) Clinical Normative Data for Gulf War Veterans.

OBJECTIVE: Heterogenous test batteries and methods applied in neurocognitive research on Gulf War Veterans (GWVs) limit the translation of findings to clinical practice. A clinical data set is necessary. METHODS: Neurocognitive screening data from treatment-seeking GWVs were collected from multiple sites and compiled, informed by consideration of performance validity. RESULTS: Repeatable Battery for the Assessment of Neuropsychological Status scores revealed the cognitive profile for GWVs (n = 189) as poorer across multiple domains when compared with similarly educated, nonveteran peers. However, mean scores generally remained within normal clinical limits. Data tables are presented to establish a comparison group for use in clinical care. CONCLUSIONS: When assessing cognitive symptoms in GWVs, attention to education level and interpretation of subtle deficits is warranted. Current results highlight the importance of nuanced translation of neurocognitive research findings into clinical practice with GWVs.

Mapping the network biology of metabolic response to stress in posttraumatic stress disorder and obesity.

The co-occurrence of stress-induced posttraumatic stress disorder (PTSD) and obesity is common, particularly among military personnel but the link between these conditions is unclear. Individuals with comorbid PTSD and obesity manifest other physical and psychological problems, which significantly diminish their quality of life. Current understanding of the pathways connecting stress to PTSD and obesity is focused largely on behavioral mediators alone with little consideration of the biological regulatory mechanisms that underlie their co-occurrence. In this work, we leverage prior knowledge to systematically highlight such bio-behavioral mechanisms and inform on the design of confirmatory pilot studies. We use natural language processing (NLP) to extract documented regulatory interactions involved in the metabolic response to stress and its impact on obesity and PTSD from over 8 million peer-reviewed papers. The resulting network describes the propagation of stress to PTSD and obesity through 34 metabolic mediators using 302 documented regulatory interactions supported by over 10,000 citations. Stress jointly affected both conditions through 21 distinct pathways involving only two intermediate metabolic mediators out of a total of 76 available paths through this network. Moreover, oxytocin (OXT), Neuropeptide-Y (NPY), and cortisol supported an almost direct propagation of stress to PTSD and obesity with different net effects. Although stress upregulated both NPY and cortisol, the downstream effects of both markers are reported to relieve PTSD severity but exacerbate obesity. The stress-mediated release of oxytocin, however, was found to concurrently downregulate the severity of both conditions. These findings highlight how a network-informed approach that leverages prior knowledge might be used effectively in identifying key mediators like OXT though experimental verification of signal transmission dynamics through each path will be needed to determine the actual likelihood and extent of each marker's participation.