3-Hydroxydicarboxylic aciduria: A distinctive type of intermittent dicarboxylic aciduria of possible diagnostic significance

1987 ◽  
Vol 10 (S2) ◽  
pp. 266-269 ◽  
Author(s):  
R. J. Pollitt ◽  
H. Losty ◽  
A. Westwood
Keyword(s):  
Diagnostic Significance ◽  
Dicarboxylic Aciduria ◽  
Distinctive Type

Diagnostic Significance of the 17-Ketosteroids

1952 ◽  
Vol 36 (3) ◽  
pp. 757-765 ◽  
Author(s):  
Joseph W. Jailer
Keyword(s):  
Diagnostic Significance

Diagnostic significance of computed tomography in gastric cancer

1985 ◽  
Vol 21 (5) ◽  
pp. 755
Author(s):  
E Y Kang ◽  
S H Cha ◽  
H Y Seol ◽  
K B Chung ◽  
W H Suh
Keyword(s):  
Gastric Cancer ◽  
Computed Tomography ◽  
Diagnostic Significance

Diagnostic significance of markers of inflammation in the cervical canal in pregnant women with bacterial vaginosis

GYNECOLOGY ◽  
2018 ◽  
Vol 20 (1) ◽  
pp. 71-74
Author(s):  
T.E. Karapetian ◽  
◽  
N.A. Lomova ◽  
M.I. Kesova ◽  
◽  
...  
Keyword(s):  
Bacterial Vaginosis ◽  
Pregnant Women ◽  
Cervical Canal ◽  
Diagnostic Significance ◽  
Markers Of Inflammation

C6-C10-Dicarboxylic aciduria: Biochemical considerations in relation to diagnosis of β-oxidation defects

1982 ◽  
Vol 42 ◽  
pp. 15-27
Author(s):  
N. Gregersen ◽  
S. Kølvraa ◽  
P. Brøbech Mortensen ◽  
K. Rasmussen
Keyword(s):  
Dicarboxylic Aciduria

The diagnostic and prognostic value of right ventricle systolic and diastolic function in inferior myocardial infarction patients

2018 ◽  
Vol 2 (1) ◽  
pp. 4
Author(s):  
Niniek Purwaningtyas
Keyword(s):  
Myocardial Infarction ◽  
Diastolic Function ◽  
Diagnostic Criteria ◽  
Sensitivity And Specificity ◽  
Systolic Function ◽  
Inferior Myocardial Infarction ◽  
Diagnostic Significance ◽  
St Segment Elevation ◽  
St Segment ◽  
Systolic And Diastolic Function

Background: Inferior myocardial infarction (MI) with right ventricular (RV) involvement will increase mortality and morbidity. Data of systolic and diastolic RV function in inferior ST-segment elevation MI (STEMI) are useful to predict the RV involvement.  Aims: To evaluate the prognostic and diagnostic significance of RV systolic and diastolic function compared to RVMI diagnostic criteria by electrocardiography in inferior MI patients.Methods: Consecutive patients with first, acute, inferior STEMI were prospectively assessed. The RVMI was defined as an ST-segment elevation ≥ 0.1 mV in lead V4R. Echocardiography was performed within 24 hours of the inferior STEMI symptoms. We assessed the RVMI diagnostic criteria in inferior MI patients using echocardiography.Results: Out of 31 patients (mean age 56.39 ± 9.02 years), RVMI by electrocardiography and echocardiography was found in 18 (37%). Moreover, multivariate analysis showed that two variables — RV systolic and diastolic function, were independent predictors of RVMI in inferior MI patients. Sensitivity and specificity of the RV systolic function were 94.4% and 69.2%, respectively, while RV diastolic functions were 44% and 76.9%, respectively.Conclusion: RV systolic function predict RVMI with relatively high sensitivity and specificity. RV diastolic function predicts RVMI with relatively low sensitivity but with high specificity.

Diagnostic Significance of Impaired LV Systolic Relaxation in Heart Failure

Circulation ◽  
1995 ◽  
Vol 92 (12) ◽  
pp. 3377-3380 ◽  
Author(s):  
Stanislas U. Sys ◽  
Dirk L. Brutsaert
Keyword(s):  
Heart Failure ◽  
Diagnostic Significance

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

Sign in / Sign up

Export Citation Format

Share Document