Leading organisations recommend follow-up of acute kidney injury (AKI) survivors, as these patients are at risk of long-term complications and increased mortality. Information transfer between specialties and from tertiary to primary care is essential to ensure timely and appropriate follow-up. Our aim was to examine the association between completeness of discharge documentation and subsequent follow-up of AKI survivors who received kidney replacement therapy (KRT) in the Intensive Care Unit (ICU). We retrospectively analysed the data of 433 patients who had KRT for AKI during ICU admission in a tertiary care centre in the UK between June 2017 and May 2018 and identified patients who were discharged from hospital alive. Patients with pre-existing end-stage kidney disease and patients who were transferred from hospitals outside the catchment area were excluded. The primary objective was to assess the completeness of discharge documentation from critical care and hospital; secondary objectives were to determine cardiovascular medications reconciliation after AKI, and to investigate kidney care and outcomes at 1 year. The development of AKI and the need for KRT were mentioned in 85 and 82% of critical care discharge letters, respectively. Monitoring of kidney function post-discharge was recommended in 51.6% of critical care and 36.3% of hospital discharge summaries. Among 35 patients who were prescribed renin-angiotensin-aldosterone system inhibitors before hospitalisation, 15 (42.9%) were not re-started before discharge from hospital. At 3 months, creatinine and urine protein were measured in 88.2 and 11.8% of survivors, respectively. The prevalence of chronic kidney disease stage III or worse increased from 27.2% pre-hospitalisation to 54.9% at 1 year ( < 0.001). Our data demonstrate that discharge summaries of patients with AKI who received KRT lacked essential information. Furthermore, even in patients with appropriate documentation, renal follow-up was poor suggesting the need for more education and streamlined care pathways.
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http://dx.doi.org/10.3389/fmed.2021.710228 | DOI Listing |
J Med Syst
January 2025
Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Large language models (LLMs) have been utilized to automate tasks like writing discharge summaries and operative reports in neurosurgery. The present study evaluates their ability to identify current procedural terminology (CPT) codes from operative reports. Three LLMs (ChatGPT 4.
View Article and Find Full Text PDFInt J Med Inform
January 2025
College of Science and Engineering, James Cook University, Townsville, 4811, QLD, Australia. Electronic address:
Background: Accurate classification of medical records is crucial for clinical documentation, particularly when using the 10th revision of the International Classification of Diseases (ICD-10) coding system. The use of machine learning algorithms and Systematized Nomenclature of Medicine (SNOMED) mapping has shown promise in performing these classifications. However, challenges remain, particularly in reducing false negatives, where certain diagnoses are not correctly identified by either approach.
View Article and Find Full Text PDFZoonoses Public Health
January 2025
Infectious Diseases Branch, Division of Communicable Disease Control, Center for Infectious Diseases, California Department of Public Health, Sacramento, California, USA.
Introduction: Capnocytophaga is a genus of bacteria that are commensal to the oral microbiome of humans and some animals. Some Capnocytophaga species are found in the human oral cavity and rarely cause disease in people; the species found in animals are zoönotic and can be transmitted to people via saliva. This study describes the clinical and epidemiologic features of patients from whom Capnocytophaga spp.
View Article and Find Full Text PDFIntroduction: Emergency department encounters include an increasing number of patients with limited English proficiency, yet little is known about the impact of interpreter services on unplanned revisits to the emergency department. This study aims to assess interpreters' utilization and unplanned ED revisits, serving as an indicator of care quality.
Methods: This was a single-center, retrospective chart review of ED visits at an urban academic center between January and April 2019.
Int J Emerg Med
January 2025
Department of Emergency Medicine, Wake Forest Baptist Medical Center, 475 Vine Street, Winston-Salem, NC, 27101, USA.
Background: Angiotensin-converting enzyme inhibitors (ACEI) are the most common cause of drug-induced angioedema in the United States. Our primary objective was to provide descriptive evidence regarding emergency department (ED) disposition of ACEI-induced angioedema patients. Our secondary objective was to evaluate unique patterns in those with ACEI-induced angioedema at a tertiary referral center, including demographics, details of those requiring intubation, length of inpatient stay, and allergy documentation.
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