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Association of Subcapsular Liver Hematoma With Preeclampsia, Eclampsia, or Hemolysis, Elevated Liver Enzymes, and Low Platelet Count Syndrome.
Obstet Gynecol
January 2025
Division of Maternal-Fetal Medicine, Department of Obstetrics Gynecology and Reproductive Sciences, University of Texas Health Science Center at Houston, Houston, Texas.
Objective: To describe the presentation, outcomes, and management strategies for cases of subcapsular liver hematoma associated with preeclampsia, eclampsia, or HELLP (hemolysis, elevated liver enzymes, and low platelet count) syndrome.
Methods: This was a case series of individuals with subcapsular liver hematoma managed at a single level IV center over a 10-year period, from 2013 to 2024. Presenting signs and symptoms, laboratory findings, time of onset, management strategies, acute perinatal and maternal outcomes, and long-term outcomes such as subsequent pregnancies were reviewed in the medical record and recorded.
Acute Effect of High-Intensity Interval Exercise on Blood Pressure in Females Living with Type 2 Diabetes and Hypertension.
Med Sci Sports Exerc
December 2024
School of Health and Exercise Sciences, University of British Columbia-Okanagan Campus, Kelowna, BC, CANADA.
Background: The acute effects of high-intensity interval training (HIIT) on blood pressure (BP) may depend on the exercise protocol performed. Purpose: To compare the acute effect of high and low-volume HIIT on post-exercise and ambulatory BP in untrained older females diagnosed with both type 2 diabetes (T2D) and hypertension (HTN). Methods: Fifteen females (69 [65 ─ 74] years) completed a crossover study with three experimental conditions: 1) REST (35 min in sitting position); 2) HIIT10 (10 × 1 min at 90% heart rate max [HRmax]), and 3) HIIT4 (4 × 4 min at 90% HRmax).
View Article and Find Full Text PDFChatGPT Assisting Diagnosis of Neuro-Ophthalmology Diseases Based on Case Reports.
J Neuroophthalmol
October 2024
Department of Ophthalmology (YM, MD, PAL, JWF, TJH, SY), University of Tennessee Health Science Center, Memphis, Tennessee; Department of Ophthalmology (MYK), University of Colorado School of Medicine, Aurora, Colorado; and Department of Genetics, Genomics, and Informatics (SY), University of Tennessee Health Science Center, Memphis, Tennessee.
Background: To evaluate the accuracy of Chat Generative Pre-Trained Transformer (ChatGPT), a large language model (LLM), to assist in diagnosing neuro-ophthalmic diseases based on case reports.
Methods: We selected 22 different case reports of neuro-ophthalmic diseases from a publicly available online database. These cases included a wide range of chronic and acute diseases commonly seen by neuro-ophthalmic subspecialists.
Plasmacytoid dendritic cell proliferation and acute myeloid leukemia with minimal differentiation (AML-M0).
Clin Chem Lab Med
January 2025
Clinical Laboratory, Sir Run Run Shaw Hospital, School of Medicine, 56660 Zhejiang University, Hangzhou, Zhejiang, China.
Deep learning model for identifying acute heart failure patients using electrocardiography in the emergency room.
Eur Heart J Acute Cardiovasc Care
January 2025
Department of Medical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Background: Acute heart failure (AHF) poses significant diagnostic challenges in the emergency room (ER) because of its varied clinical presentation and limitations of traditional diagnostic methods. This study aimed to develop and evaluate a deep-learning model using electrocardiogram (ECG) data to enhance AHF identification in the ER.
Methods: In this retrospective cohort study, we analyzed the ECG data of 19,285 patients who visited ERs of three hospitals between 2016 and 2020; 9,119 with available left ventricular ejection fraction and N-terminal prohormone of brain natriuretic peptide level data and who were diagnosed with AHF were included in the study.
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