Background: To examine the accuracy of noncontact tympanic (NCT) temperatures in outpatients, we conducted a prospective study comparing NCT temperature with temperatures obtained by oral mercury thermometers.

Methods: The study included 410 patients in whom oral and NCT temperatures were obtained.

Results: Mean oral temperature was 36.47 +/- 0.44 degrees C and mean NCT temperature was 36.36 +/- 0.49 degrees C. On paired-sample, two-sided t-testing, oral temperature differed significantly from NCT temperature, with a P-value < 0.0001. The difference between simultaneous oral and NCT temperatures was > or = 1 degree F; in 63 cases, oral temperature was higher than NCT temperature.

Conclusion: We conclude that NCT temperature measurement is not reliable in an internal medicine outpatient clinic setting.

Download full-text PDF

Source
http://dx.doi.org/10.1097/00000441-199905000-00006DOI Listing

Publication Analysis

Top Keywords

nct temperature
16
nct temperatures
12
oral temperature
12
outpatient clinic
8
nct
8
oral nct
8
temperature
7
oral
6
temperatures
5
comparison oral
4

Similar Publications

Objective: The ExPRO (External factors influencing patient reported outcomes of patients with malignant diseases) study explored associations between QoL data and environmental factors on the day of questionnaire completion: mean temperature, sunshine hours, season, and lunar phase.

Methods: We undertook a cross-sectional analysis of baseline data in the prospective cohort study at two cancer centers in eastern Germany. From December 2020 to December 2021, cancer patients completed the EORTC QLQ-C30 questionnaire upon admission.

View Article and Find Full Text PDF

Conventional inorganic semiconductors are not suitable for acting as nanozymes or sonosensitizers for therapeutic nanomedicine owing to the lack of excellent biocompatibility. Biocompatible carbon dots (CDs) exhibit a variety of biological activities due to their adjustable size and surface chemical modification; however, the simultaneous sonodynamic activity and multiple enzyme-mimicking catalytic activity of a single CD have not been reported. Herein, we report the development of bimetallic doped CDs as a high-efficiency nanozyme and sonosensitizer for enhanced sonodynamic therapy (SDT) and nanocatalytic therapy (NCT).

View Article and Find Full Text PDF

High-performance Co-based catalysts were derived by pyrolysis using synthesized MOFs as self-sacrificial templates. Various catalytic systems were constructed by peroxymonosulfate (PMS) to degrade tetracycline hydrochloride (TC). Adsorption-degradation efficiencies, cycle performance, dynamics, and the adsorption catalytic mechanism of various catalytic systems for TC were studied.

View Article and Find Full Text PDF
Article Synopsis
  • - Over 16 million children were born HIV-free despite exposure during pregnancy by 2022, but those who are HIV-free exhibit worse health and development outcomes, leading to the need for further research on their long-term effects compared to unexposed children.
  • - The SHINE trial in rural Zimbabwe tracked growth and cognitive development in children born HIV-free compared to unexposed children, evaluating participants at age 7 using a variety of assessments that included measurements of height, haemoglobin, cognitive abilities, and physical fitness.
  • - The study aimed to understand the differences in health outcomes between the two groups and utilized advanced statistical methods to analyze the collected data, considering various demographic and socioeconomic factors affecting the children's development.
View Article and Find Full Text PDF

Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification.

J Biomed Inform

October 2024

State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China. Electronic address:

Article Synopsis
  • Histological classification is complicated due to varying tissue appearances, and though large network models perform well, they require significant computational resources and high-quality data.
  • Knowledge Distillation (KD) can help smaller networks perform comparably, but it struggles with high-dimensional data, risking loss of important features.
  • A new method called VPSP is introduced, which effectively helps smaller networks learn from larger ones by simplifying features and enhancing domain adaptation, proving to be more robust in performance on various histological datasets.
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!