Study Objective: Low-risk patients with chest pain are often admitted to monitored beds; however, the use of telemetry beds in this cohort is not evidence based. We tested the hypothesis that monitoring admitted low-risk patients with chest pain for dysrhythmia is low yield (<1% detection of life-threatening dysrhythmias requiring treatment).
Methods: We conducted a prospective cohort study of emergency department (ED) patients with chest pain with a Goldman risk score of less than 8%, a normal initial creatine kinase-MB level, and a negative initial troponin I level admitted to non-ICU monitored beds. Investigators followed the hospital course daily. The main outcome was cardiovascular death and life-threatening ventricular dysrhythmia during telemetry.
Results: Of 3,681 patients with chest pain who presented to the ED, 1,750 patients were admitted to non-ICU monitored beds. Of these, 1,029 patients had a Goldman risk score of less than 8%, a troponin I level of less than 0.3 ng/mL, and a creatine kinase-MB level of less than 5 ng/mL (accounting for 59% of all chest pain telemetry admissions). During hospitalization, there were no patients with sustained ventricular tachycardia/ventricular fibrillation requiring treatment on the telemetry service (0%; 95% confidence interval [CI] 0% to 0.3%). There were 2 deaths: neither was cardiovascular in nature or preventable by monitoring (cardiovascular preventable death rate=0%; 95% CI 0.0% to 0.3%).
Conclusion: The routine use of telemetry monitoring for low-risk patients with chest pain is of limited utility. Admission to nonmonitored beds might help alleviate ED crowding without increasing risk of adverse events caused by dysrhythmia in patients with a Goldman risk of less than 8%, an initial troponin I level of less than 0.3 ng/mL, and a creatine kinase-MB level of less than 5 ng/mL.
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http://dx.doi.org/10.1016/s0196-0644(03)00719-4 | DOI Listing |
Adv Sci (Weinh)
January 2025
The department of oncology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Non-small cell lung cancer (NSCLC) frequently metastasizes to the brain, significantly worsened prognoses. This study aimed to develop an interpretable model for predicting survival in NSCLC patients with brain metastases (BM) integrating radiomic features and RNA sequencing data. 292 samples are collected and analyzed utilizing T1/T2 MRIs.
View Article and Find Full Text PDFBrain Behav Immun Health
February 2025
Oswaldo Cruz Foundation, Institute Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
Schizophrenia is a chronic psychiatric disorder characterized by a variety of symptoms broadly categorized into positive, negative, and cognitive domains. Its etiology is multifactorial, involving a complex interplay of genetic, neurobiological, and environmental factors, and its neurobiology is associated with abnormalities in different neurotransmitter systems. Due to this multifactorial etiology and neurobiology, leading to a wide heterogeneity of symptoms and clinical presentations, current antipsychotic treatments face challenges, underscoring the need for novel therapeutic approaches.
View Article and Find Full Text PDFInt J Endocrinol Metab
July 2024
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Context: Metabolic disorders are a growing global concern, especially in developed countries, due to their increasing prevalence. Serum lipid profiles, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL), are commonly used clinical biomarkers for monitoring the progression of these metabolic abnormalities. In recent decades, hydrogen-rich water (HRW) has gained attention as a safe and effective treatment, with regulatory effects on lipid peroxidation and inflammatory responses in clinical trials.
View Article and Find Full Text PDFAm J Clin Exp Urol
December 2024
Department of Urology, General Hospital of Northern Theater Command Shenyang 110016, Liaoning, China.
Objective: To investigate the expression of metabolism-related genes (MRGs) in kidney renal clear cell carcinoma (KIRC) and their association with patient prognosis, and to identify potential targets for intervention.
Methods: Bioinformatics methods were employed to mine the KIRC transcriptome data in The Cancer Genome Atlas Program (TCGA) database in order to identify MRGs that are aberrantly expressed in cancerous tissues. Subsequently, a prognostic risk score model was constructed and its predictive capacity was evaluated.
Res Pract Thromb Haemost
January 2025
Section of Hematology & Medical Oncology, Boston University School of Medicine, Boston, Massachusetts, USA.
Background: Cancer-associated thrombosis (CAT) is a leading cause of death in patients diagnosed with cancer. However, pharmacologic thromboprophylaxis use in cancer patients must be carefully evaluated due to a 2-fold increased risk of experiencing a major bleeding event within this population. The electronic health record CAT (EHR-CAT) risk assessment model (RAM) was recently developed, and reports improved performance over the widely used Khorana score.
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