We measured body temperature in 40 consecutive patients treated for a first ST elevation acute myocardial infarction (AMI) with primary percutaneous coronary interventions. Left ventricular function was assessed by echocardiography, and blood samples were drawn for highly sensitive C-reactive protein (hs-CRP), white blood cell (WBC) count, fibrinogen, creatine kinase (CK), and cardiac troponin I levels (cTnI). The median (25th, 75th quartiles) peak 24-hour temperature was 37.4 degrees C (36.9 degrees C, 37.6 degrees C). Variables significantly associated with peak 24-hour temperature were CK (p = 0.01, r = 0.42), wall motion index (p = 0.01, r = 0.41), hs-CRP (p = 0.01, r = 0.41), and cTnI (p = 0.03, r = 0.35). There was no significant correlation between peak 24-hour temperature and WBC count (p = 0.39, r = 0.14) and fibrinogen (p = 0.12, r = 0.21). Thus, peak 24-hour body temperature after ST elevation AMI probably reflects infarct size rather than a nonspecific inflammatory response.

Download full-text PDF

Source
http://dx.doi.org/10.1159/000084589DOI Listing

Publication Analysis

Top Keywords

peak 24-hour
16
body temperature
12
24-hour temperature
12
infarct size
8
wbc count
8
001 041
8
temperature
5
temperature marker
4
marker infarct
4
size era
4

Similar Publications

Molecular fluorescence-guided surgery has shown promise for tumor margin delineation but is limited by its depth profiling capability. Interestingly, most fluorophores, either clinically approved or in clinical trials, can also be used as photoacoustic contrast agents, yet their use is limited due to the low light fluence permitted for clinical use and the limited sensitivity of current photoacoustic imaging systems. There is therefore an urgent unmet need to establish methods for enhancing contrast in molecular targeted PA imaging which could potentially complement and overcome limitations in molecular fluorescence guided therapies.

View Article and Find Full Text PDF

The impact of gasping versus apnea on initial heart rate and response to positive pressure ventilation in the delivery room following interruption of placental blood flow.

Resuscitation

December 2024

Department of Pediatrics, POB 8100 4068, Stavanger, Norway, Stavanger University Hospital and University of Stavanger; Department of Anaesthesiology & Intensive Care, Stavanger University Hospital, POB 8100 4068, Stavanger, Norway. Electronic address:

Background: The impact and/or significance of gasping or apnea on cardio-respiratory status at birth remains unclear.

Objectives: The study objectives were to determine in infants presenting with gasping or apnea in the delivery room, initial heart rate (HR), responses to positive pressure ventilation (PPV), time to onset of spontaneous respirations, and the relationship of these responses to 24-hour outcome (death/survival) METHODS: Observation study undertaken in a rural setting involving late preterm and term newborns who gasped (n=126) or were apneic (n=105) at birth and received PPV had HR and respiratory parameters continuously measured and were video recorded.

Results: Apneic (12.

View Article and Find Full Text PDF

Rest-activity rhythm (RAR) encompasses sleep, activity, and rest across a 24-hour cycle and over time (i.e., peak activity timing, mean activity level, activity amplitude, and rhythmicity).

View Article and Find Full Text PDF

Introduction: Postpartum hemorrhage (PPH) remains a major cause of maternal mortality and morbidity worldwide. Coagulation disorders are a major risk factor for PPH that have not been studied adequately. Fibrinogen, a plasma glycoprotein, is integral to hemostasis and is involved in the final process of the coagulation cascade.

View Article and Find Full Text PDF

Predicting 24-hour intraocular pressure peaks and averages with machine learning.

Front Med (Lausanne)

October 2024

Department of Ophthalmology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.

Purpose: Predicting 24-hour peak and average intraocular pressure (IOP) is essential for the diagnosis and management of glaucoma. This study aimed to develop and assess a machine learning model for predicting 24-hour peak and average IOP, leveraging advanced techniques to enhance prediction accuracy. We also aimed to identify relevant features and provide insights into the prediction results to better inform clinical practice.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!