Are ICD codes reliable for observational studies? Assessing coding consistency for data quality.

Objective: International Classification of Diseases (ICD) codes recorded in electronic health records (EHRs) are frequently used to create patient cohorts or define phenotypes. Inconsistent assignment of codes may reduce the utility of such cohorts. We assessed the reliability across time and location of the assignment of ICD codes in a US health system at the time of the transition from ICD-9-CM (ICD, 9th Revision, Clinical Modification) to ICD-10-CM (ICD, 10th Revision, Clinical Modification).

Respiratory Syncytial Virus and US Pediatric Intensive Care Utilization.

Importance: Bronchiolitis is the most common diagnosis necessitating respiratory support and pediatric intensive care, and respiratory syncytial virus (RSV) is the most common cause of bronchiolitis. In 2023, the monoclonal antibody nirsevimab and the maternal RSVpreF vaccine were implemented to prevent RSV in infants.

Objective: To determine the potential association of novel RSV prevention strategies with pediatric intensive care unit (ICU) utilization.

Oophorectomy Rates in Pediatric and Adolescent Patients with Adnexal Torsion in US Emergency Departments.

Objective: To evaluate oophorectomy rates in pediatric and adolescent patients who presented to a US emergency department with adnexal torsion METHODS: This study was a retrospective, cross-sectional analysis utilizing the National Emergency Department Sample data from 2016 to 2018. It included patients younger than 20 years old and of the female sex. International Classification of Diseases Version 10 and ICD 10 Procedure Coding System codes were utilized to define patients with adnexal torsion who underwent adnexal surgery.

Predicting Parental Post-Traumatic Stress Symptoms Following their Child's Stay in a Pediatric Intensive Care Unit, Prior to Discharge.

Develop an inpatient predictive model of parental post-traumatic stress (PTS) following their child's care in the Pediatric Intensive Care Unit (PICU). Prospective observational cohort. Two tertiary care children's hospitals with mixed medical/surgical/cardiac PICUs.

Cancer prevention recommendations: awareness in a Mexican public hospital.

Background: The recommendations of both the World Cancer Research Fund (WCRF) and the American Institute for Cancer Research (AICR) for the prevention of cancer are important public health tools. These recommendations for the prevention of specific cancers are related to body weight maintenance; physical activity; foods and drinks that promote weight gain; plant foods; foods of animal origin; alcoholic beverages; preservation, processing, and preparation of food; food supplements; and breastfeeding.

Methods: This study was a descriptive, cross-sectional, retrospective study.

Advance Care Planning for Children With Rare Diseases: A Pilot RCT.

Background And Objective: Pediatric rare diseases are often life-limiting conditions and/or require constant caregiving. Investigators assessed the initial efficacy of the FAmily CEntered (FACE) pediatric advance care planning (pACP), FACE-Rare, intervention on families' quality of life.

Methods: A pilot-phase, single-blinded, intent-to-treat, randomized controlled clinical trial enrolled families from 1 pediatric quaternary hospital between 2021 and 2023.

PedBotLab: A Novel Video Game-Based Robotic Ankle Platform Created for Therapeutic Exercise for Children With Neurological Impairments.

Aims: Assess the potential benefits of using PedBotLab, a clinic based robotic ankle platform with integrated video game software, to improve ankle active and passive range of motion, strength, selective motor control, gait efficiency, and balance.

Methods: Ten participants with static neurological injuries and independent ambulation participated in a 10-week pilot study (Pro00013680) to assess feasibility and efficacy of PedBotLab as a therapeutic device twice weekly. Isometric ankle strength, passive and active ankle range of motion, plantarflexor spasticity, selective motor control of the lower extremity, balance, and gait speed were measured pre- and post-trial.

Impact of the COVID-19 Pandemic on the Provision of Dialysis Service and Mortality in Veterans Receiving Maintenance Hemodialysis in the VA: An Interrupted Time-Series Analysis.

Introduction: According to the US Renal Data System (USRDS), patients with end-stage kidney disease (ESKD) on maintenance dialysis had higher mortality during early COVID-19 pandemic. Less is known about the effect of the pandemic on the delivery of outpatient maintenance hemodialysis and its impact on death. We examined the effect of pandemic-related disruption on the delivery of dialysis treatment and mortality in patients with ESKD receiving maintenance hemodialysis in the Veterans Health Administration (VHA) facilities, the largest integrated national healthcare system in the USA.

Dynamic Mortality Risk Predictions for Children in ICUs: Development and Validation of Machine Learning Models.

Objectives: Assess a machine learning method of serially updated mortality risk.

Design: Retrospective analysis of a national database (Health Facts; Cerner Corporation, Kansas City, MO).

Setting: Hospitals caring for children in ICUs.

Predicting Future Care Requirements Using Machine Learning for Pediatric Intensive and Routine Care Inpatients.

Unlabelled: Develop and compare separate prediction models for ICU and non-ICU care for hospitalized children in four future time periods (6-12, 12-18, 18-24, and 24-30 hr) and assess these models in an independent cohort and simulated children's hospital.

Design: Predictive modeling used cohorts from the Health Facts database (Cerner Corporation, Kansas City, MO).

Setting: Children hospitalized in ICUs.

The Association of Laboratory Test Abnormalities With Mortality Risk in Pediatric Intensive Care.

Objectives: To determine the bivariable associations between abnormalities of 28 common laboratory tests and hospital mortality and determine how mortality risks changes when the ranges are evaluated in the context of commonly used laboratory test panels.

Design: A 2009-2016 cohort from the Health Facts (Cerner Corporation, Kansas City, MO) database.

Setting: Hospitals caring for children in ICUs.

Criticality: A New Concept of Severity of Illness for Hospitalized Children.

Objectives: To validate the conceptual framework of "criticality," a new pediatric inpatient severity measure based on physiology, therapy, and therapeutic intensity calibrated to care intensity, operationalized as ICU care.

Design: Deep neural network analysis of a pediatric cohort from the Health Facts (Cerner Corporation, Kansas City, MO) national database.

Setting: Hospitals with pediatric routine inpatient and ICU care.

Severity Trajectories of Pediatric Inpatients Using the Criticality Index.

Objectives: To assess severity of illness trajectories described by the Criticality Index for survivors and deaths in five patient groups defined by the sequence of patient care in ICU and routine patient care locations.

Design: The Criticality Index developed using a calibrated, deep neural network, measures severity of illness using physiology, therapies, and therapeutic intensity. Criticality Index values in sequential 6-hour time periods described severity trajectories.

Medications for Children Receiving Intensive Care: A National Sample.

Objective: To examine medication administration records through electronic health record data to provide a broad description of the pharmaceutical exposure of critically ill children.

Design: Retrospective cohort study using the Cerner Health Facts database.

Setting: United States.

Natural attenuation of weathered oil using aquatic plants in a farm in Southeast Mexico.

An experiment was conducted in field for three years to assess the sustainability of aquatic plants Leersia hexandra, Cyperus articulatus, and Eleocharis palustris for use in the removal of total hydrocarbons of weathered oil in four areas contaminated with 60916-119373 mg/kg of hydrocarbons. The variables evaluated were coverage of plant, dry matter, density of plant growth-promoting rhizobacteria, and the removal of total weathered oil. The variables showed statistical differences (p = 0.