scholarly journals Using PMDA Drug Adverse Event Report Database, Study on Collective Background of Adverse Events Caused by the Total Cold Medicine ： Classification of Onset Cases Using Latent Class Analysis

2018 ◽  
Vol 23 (2) ◽  
pp. 75-87
Author(s):  
Shoko KAMIYA ◽  
Michiko WATANABE ◽  
Keita YAMAUCHI
Keyword(s):  
Adverse Event ◽  
Adverse Events ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Adverse Event Report ◽  
Class Analysis ◽  
Event Report ◽  
Database Study ◽  
Drug Adverse Event

Classification of multiple sclerosis patients by latent class analysis of magnetic resonance imaging characteristics

2006 ◽  
Vol 12 (5) ◽  
pp. 565-572 ◽  
Author(s):  
J NP Zwemmer ◽  
J Berkhof ◽  
J A Castelijns ◽  
F Barkhof ◽  
C H Polman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Resonance Imaging ◽  
Disease Characteristics ◽  
Mri Characteristics ◽  
The Brain ◽  
Laboratory Measures

Background Disease heterogeneity is a major issue in multiple sclerosis (MS). Classification of MS patients is usually based on clinical characteristics. More recently, a pathological classification has been presented. While clinical subtypes differ by magnetic resonance imaging (MRI) signature on a group level, a classification of individual MS patients based purely on MRI characteristics has not been presented so far. Objectives To investigate whether a restricted classification of MS patients can be made based on a combination of quantitative and qualitative MRI characteristics and to test whether the resulting subgroups are associated with clinical and laboratory characteristics. Methods MRI examinations of the brain and spinal cord of 50 patients were scored for 21 quantitative and qualitative characteristics. Using latent class analysis, subgroups were identified, for whom disease characteristics and laboratory measures were compared. Results Latent class analysis revealed two subgroups that mainly differed in the extent of lesion confluency and MRI correlates of neuronal loss in the brain. Demographics and disease characteristics were comparable except for cognitive deficits. No correlations with laboratory measures were found. Conclusions Latent class analysis offers a feasible approach for classifying subgroups of MS patients based on the presence of MRI characteristics. The reproducibility, longitudinal evolution and further clinical or prognostic relevance of the observed classification will have to be explored in a larger and independent sample of patients.

Classification of cutaneous leishmaniasis patients based on its risk factors using latent class analysis

2020 ◽  
pp. 004947552097159
Author(s):  
Mojtaba Salimi ◽  
Ebrahim Shakiba ◽  
Eslam Moradi-Asl ◽  
Abbas Abbasi-Ghahramanloo ◽  
Keyvan Khassi
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Latent Class Analysis ◽  
Cutaneous Leishmaniasis ◽  
Latent Class ◽  
Preventive Intervention ◽  
Class Analysis ◽  
Risk Class ◽  
Very High

Cutaneous leishmaniasis is one of the main health-economic problems around the world. Data were collected from all patients with cutaneous leishmaniasis referred to the health centres of Kermanshah province between 2013 and 2019. Latent class analysis was conducted by PROC LCA in SAS 9.2 and a significant level was set at 0.05. Four latent classes were identified: low (33.8%), moderate (9.8%), high (22.4%) and very high risk (34.0%). The probability of having a travel history was high in the third class. Our study indicated that having history of an eschar has no role in the classification of patients. On the other hand, a positive smear test is important in classifying subjects. Our results indicate that more than half of all patients fell under high risk or very high-risk class. This emphasises the importance of planning preventive intervention by considering different risk factors of cutaneous leishmaniasis simultaneously.

Author response for "Classification of comorbidity in obsessive–compulsive disorder: A latent class analysis"

2020 ◽  
Author(s):  
Lucas J. B. Oudheusden ◽  
Rens Schoot ◽  
Adriaan Hoogendoorn ◽  
Patricia Oppen ◽  
Maarten Kaarsemaker ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Obsessive Compulsive Disorder ◽  
Latent Class ◽  
Author Response ◽  
Class Analysis ◽  
Obsessive Compulsive ◽  
Compulsive Disorder

An Examination of Mortality and Other Adverse Events Related to Electroconvulsive Therapy Using a National Adverse Event Report System

2011 ◽  
Vol 27 (2) ◽  
pp. 105-108 ◽  
Author(s):  
Bradley V. Watts ◽  
Alicia Groft ◽  
James P. Bagian ◽  
Peter D. Mills
Keyword(s):  
Adverse Event ◽  
Adverse Events ◽  
Electroconvulsive Therapy ◽  
Adverse Event Report ◽  
Event Report ◽  
Report System

A classification of scottish infants using latent class analysis

1984 ◽  
Vol 3 (3) ◽  
pp. 249-259 ◽  
Author(s):  
R. M. Pickering ◽  
J. F. Forbes
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis
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