Objective: To evaluate the role of oxygen utilization coefficient (O(2)UC ) in predicting the severity of various diseases.
Methods: Gas analysis of arterial blood and central venous blood and calculation of O(2)UC [O(2)UC = (SaO(2) - SvO(2))/SaO(2)] were carried out in different groups (group 1, 16 cases of trauma, all survived; group 2, 18 emergency cases undergoing cardiopulmonary resuscitation(CPR); group 3, 13 cases undergoing CPR in intensive care unit, all died; group 4, 13 critically ill patients.
Results: O(2)UC was 0.30 +/- 0.08, 0.67 +/- 0.27 and 0.60 +/- 0.15 in the groups 1, 2 and 3 respectively. The difference between group 1 and 2 was significant (P < 0.001). O(2)UC persisted to increase, and maintained high for a long time (more than 8 approximately 12 hours), the prognosis of the patients was bad. The critical limitation of O(2)UC was 0.40. In group 4 O(2)UC was closely correlated with the severity of clinical condition.
Conclusion: O(2)UC is a convenient, reliable and sensible predictor in the treatment of critically ill patients.
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Braz Oral Res
January 2025
Universidade Federal dos Vales do Jequitinhonha e Mucuri UFVJM, School of Biological and Health Sciences, Department of Dentistry, Diamantina, MG, Brazil.
Although it is recognized that periodontal disease negatively impacts quality of life, there is no validated instrument to assess this impact in Brazil. This study aimed to translate, cross-culturally adapt, and validate the OHIP 14 PD (Oral Health Impact Profile Applied to Periodontal Diseases) for application among Brazilian patients. The original instrument was translated and validated into Brazilian Portuguese in a cross-sectional study with 110 participants recruited from a Dental School clinic.
View Article and Find Full Text PDFPLoS One
January 2025
Mathematics and Computer Science Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
The Weibull distribution is an important continuous distribution that is cardinal in reliability analysis and lifetime modeling. On the other hand, it has several limitations for practical applications, such as modeling lifetime scenarios with non-monotonic failure rates. However, accurate modeling of non-monotonic failure rates is essential for achieving more accurate predictions, better risk management, and informed decision-making in various domains where reliability and longevity are critical factors.
View Article and Find Full Text PDFPlast Reconstr Surg
January 2025
Division of Plastic Surgery, Mayo Clinic; Rochester, MN.
Introduction: Quantitative neuromorphometry analysis of the peripheral nerve is paramount to nerve regeneration research. However, this technique relies upon accurate segmentation and determination of myelin and axonal area. Manual histological analysis methods are time- consuming, and subject to error and bias.
View Article and Find Full Text PDFAim: This study aims to investigate the clinical utility of the derived neutrophil-to-lymphocyte ratio (dNLR) and the Geriatric Nutritional Risk Index (GNRI) in predicting treatment outcomes for patients with unresectable hepatocellular carcinoma (HCC) undergoing combination therapy with atezolizumab and bevacizumab (Atez/Bev).
Methods: A retrospective analysis was conducted on 310 patients. The dNLR, NLR, and GNRI were calculated, and their impact on progression-free survival (PFS) and overall survival (OS) was assessed.
Acta Radiol
January 2025
Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Background: Segmentation of the cochlea in temporal bone computed tomography (CT) is the basis for image-guided otologic surgery. Manual segmentation is time-consuming and laborious.
Purpose: To assess the utility of deep learning analysis in automatic segmentation of the cochleae in temporal bone CT to differentiate abnormal images from normal images.
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