Publications by authors named "Suresh Srinivasan"

Background: Children from racial and ethnic minority groups are at greater risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, but it is unclear whether they have increased risk for post-acute sequelae of SARS-CoV-2 (PASC). Our objectives were to assess whether the risk of respiratory and neurologic PASC differs by race/ethnicity and social drivers of health.

Methods: We conducted a retrospective cohort study of individuals <21 years seeking care at 24 health systems across the U.

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Background: Large language models (LLMs), including ChatGPT (Chat Generative Pretrained Transformer), a popular, publicly available LLM, represent an important innovation in the application of artificial intelligence. These systems generate relevant content by identifying patterns in large text datasets based on user input across various topics. We sought to evaluate the performance of ChatGPT in practice test questions designed to assess knowledge competency for pediatric emergency medicine (PEM).

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  • * Conducted across 26 children's hospitals in the US from March 2020 to May 2023, the research involved analyzing data from over 172,000 eligible children and young adults aged 5 to 20 with confirmed COVID-19.
  • * The findings aim to establish a clear association between pre-infection BMI categories—ranging from healthy weight to severe obesity—and the likelihood of experiencing PASC, with statistical analyses adjusting for various demographic and clinical
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  • * Out of 112 respondents, which included both surgeons and hand therapists, the study found significant variability in surgical decision-making and imaging practices, with most centers favoring ligament reconstruction using a bone anchor.
  • * Findings suggest that there is inconsistency in the treatment approaches for UCL ruptures and a strong interest among medical professionals for future clinical trials to standardize management practices.
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  • Generative AI, particularly large language models (LLMs), has the potential to revolutionize pediatric education by assisting in curriculum design, individual study plans, and enhancing clinical practice for pediatricians.
  • Despite challenges like misinformation and ethical concerns regarding bias and plagiarism, the benefits of LLMs can be maximized if used responsibly with oversight from content experts.
  • The article examines the history, current applications, and future implications of generative AI in pediatric education, including specific examples of its output and the establishment of guidelines for safe usage.
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  • * ChatGPT helps educators create cases, train standardized patients, and develop assessment methods, ultimately aiming to reduce stress for trainees by simulating realistic scenarios and providing instant feedback.
  • * While the benefits of using ChatGPT—like saving time and resources—are highlighted, there's a strong emphasis on the need for validating its medical accuracy and ensuring responsible use of AI in educational settings.
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Background: High flow nasal cannula (HFNC) has been increasingly adopted in the past 2 decades as a mode of respiratory support for children hospitalized with bronchiolitis. The growing use of HFNC despite a paucity of high-quality data regarding the therapy's efficacy has led to concerns about overutilization. We developed an electronic health record (EHR) embedded, quality improvement (QI) oriented clinical trial to determine whether standardized management of HFNC weaning guided by clinical decision support (CDS) results in a reduction in the duration of HFNC compared to usual care for children with bronchiolitis.

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Importance: The profile of gastrointestinal (GI) outcomes that may affect children in post-acute and chronic phases of COVID-19 remains unclear.

Objective: To investigate the risks of GI symptoms and disorders during the post-acute phase (28 days to 179 days after SARS-CoV-2 infection) and the chronic phase (180 days to 729 days after SARS-CoV-2 infection) in the pediatric population.

Design: We used a retrospective cohort design from March 2020 to Sept 2023.

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  • Hospitalization rates for childhood pneumonia show significant variation, and a study aimed to test if a risk-based clinical decision support (CDS) system could help standardize care in pediatric emergency departments.
  • The study involved 536 patient encounters, comparing usual care to an EHR-integrated CDS tool that used a pneumonia severity score; results showed no significant difference in inappropriate patient disposition between the two groups.
  • While the CDS tool received positive feedback from clinicians, challenges in implementation and low patient enrollment likely hindered its effectiveness in improving decision-making around ED care for pneumonia.
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Objectives: This study aims to examine the association between primary care practice characteristics (enhanced access services) and practice-level rates of nonurgent emergency department (ED) visits using ED and practice-level data. Survey data suggest that enhanced access services within a child's primary care practice may be associated with reduced nonurgent ED visits.

Methods: We performed a cross-sectional analysis of nonurgent ED visits to a tertiary pediatric hospital in Western Pennsylvania with nearly 85,000 annual ED visits.

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Objectives:  To support a pragmatic, electronic health record (EHR)-based randomized controlled trial, we applied user-centered design (UCD) principles, evidence-based risk communication strategies, and interoperable software architecture to design, test, and deploy a prognostic tool for children in emergency departments (EDs) with pneumonia.

Methods:  Risk for severe in-hospital outcomes was estimated using a validated ordinal logistic regression model to classify pneumonia severity. To render the results usable for ED clinicians, we created an integrated SMART on Fast Healthcare Interoperability Resources (FHIR) web application built for interoperable use in two pediatric EDs using different EHR vendors: Epic and Cerner.

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Phantom bladder pain, a rare condition following cystectomy, can pose a challenge to pain management providers. We present the case of a 43-year-old male who developed severe phantom bladder pain post-cystectomy. Despite multiple treatments, his symptoms persisted, significantly affecting his quality of life.

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Artificial intelligence (AI) broadly describes a branch of computer science focused on developing machines capable of performing tasks typically associated with human intelligence. Those who connect AI with the world of science fiction may meet its growing rise with hesitancy or outright skepticism. However, AI is becoming increasingly pervasive in our society, from algorithms helping to sift through airline fares to substituting words in emails and SMS text messages based on user choices.

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Background: Improving child health using health information technology (IT) requires a unique set of functionalities that are built into the electronic health record (EHR) and are used to support patient care. In this article, we review and discuss the milestones preceding the development of a new child health EHR standard and describe the salient features of this contemporary standard.

Methods And Results: The Health Level Seven Pediatric Care Health IT Functional Profile (HL7 PCHIT FP) is an informative standard that encompasses the EHR functions required to care for patients less than 21 years of age in any clinical setting, developed to address the pediatric-specific functionality gaps in the EHR.

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Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) may impair immune modulating host microRNAs, causing severe disease. Our objectives were to determine the salivary miRNA profile in children with SARS-CoV-2 infection at presentation and compare the expression in those with and without severe outcomes. Children <18 years with SARS-CoV-2 infection evaluated at two hospitals between March 2021 and February 2022 were prospectively enrolled.

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Background: Electronic health record-based clinical decision support (CDS) is a promising antibiotic stewardship strategy. Few studies have evaluated the effectiveness of antibiotic CDS in the pediatric emergency department (ED).

Objective: To compare the effectiveness of antibiotic CDS vs.

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The number of joint replacement surgeries, especially knee replacement surgeries, is rising with the rising geriatric population. Chronic unremitting knee pain post-total knee replacement surgery is a common phenomenon. Usually, the pain responds to conservative measures, including physical therapy and medical management.

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Triple neurectomy (resection of Ilioinguinal, Iliohypogastric, and Genitofemoral nerves) is performed in cases of inguinal neuralgia, refractory to conservative management. However, this procedure comes with several adverse effects, including but not limited to ectopic afferent firing and tactile allodynia. In such a scenario, the inguinal pain can become chronic and debilitating and can be classified as chronic post-surgical pain.

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Objective: Chest radiographs are frequently used to diagnose community-acquired pneumonia (CAP) for children in the acute care setting. Natural language processing (NLP)-based tools may be incorporated into the electronic health record and combined with other clinical data to develop meaningful clinical decision support tools for this common pediatric infection. We sought to develop and internally validate NLP algorithms to identify pediatric chest radiograph (CXR) reports with pneumonia.

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Dorsal root ganglion stimulation is a relatively new treatment option for chronic pain conditions such as pudendal neuralgia, which is a chronic pain condition affecting the pudendal nerve in the pelvic region. Pudendal neuralgia is a debilitating condition that can significantly affect the patient's quality of life. In dorsal root ganglion stimulation, a small device is implanted that delivers electrical impulses to the dorsal root ganglion to modulate pain signals coming from the pudendal nerve.

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Area deprivation index (ADI) is associated with the risk of severe COVID-19 in adults. However, this association has not been established in children. Information on ADI, demographics, clinical features, disease severity, and outcomes was analyzed for 3434 children with COVID-19.

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Background: There are no existing practices or methods to ensure cleanliness, sterility, or prevent cross-contamination when it comes to common operating room (OR) tape. The authors hypothesized that adhesive tapes used by anesthesia providers in ORs and off-site surgical areas might be colonized by microorganisms and that culturing these tape rolls would reveal significant monomicrobial and polymicrobial contamination.  Material and Methods: The primary objective of this observational cohort study was to report and compare contamination rate including polymicrobial contamination rate between tape specimens collected from storage site and specimen from the ORs, off-sites, and after use on a patient.

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Erector spinae blocks (ESBs) are a type of fascial pain block that has been safely used for various applications, including post-operative and post-trauma pain in several thoracic and abdominal surgeries. Pain related to an acute flare-up of chronic pancreatitis is usually challenging to control and impacts patient comfort and discharge planning. This case report describes an application of ESBs for the effective treatment of refractory abdominal pain associated with acute exacerbation of chronic pancreatitis.

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Objectives: Healthcare utilization after bronchiolitis hospitalization is incompletely understood. We aimed to characterize readmissions and outpatient visits within 1 year after hospital discharge.

Methods: Retrospective multicenter observational cohort study of children under 24-months old admitted with bronchiolitis between January 1, 2010 and December 12, 2019 to the Pediatric Health Information Systems database.

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