Essential Tremor Families With Heterogeneous Motor Phenomenology: “Mixed Motor Disorder”

2021 ◽  
pp. 10.1212/CPJ.0000000000001100
Author(s):  
Elan D Louis ◽  
Nora C Hernandez ◽  
Ruth Ottman ◽  
Lorraine N. Clark

AbstractObjective:Essential tremor (ET) is one of the most prevalent movement disorders. Because ET is so common, individuals with other neurological disorders may also have ET. There is evidence, however, that the co-occurrence of ET with Parkinson’s disease (PD) and/or dystonia is not merely a chance co-occurrence. We have observed combinations of these three movement disorders within individuals and across individuals within families containing multiple individuals with ET. This observation has a number of implications. Our objective is to present four ET families in whom motor phenomenology was heterogeneous, and discuss the implications of this finding.Methods:ET cases and their relatives were enrolled in the Family Study of Essential Tremor (2015 – present). Phenotyping was performed by a senior movement disorders neurologist based on neurological examination.Results:We present four families, including 14 affected individuals, among whom assigned diagnoses were ET, PD, ET + PD, and ET + dystonia. In those with ET and another movement disorder, the predominant and earliest phenotype was ET.Conclusion:There are assortments of these three involuntary motor disorders, ET, dystonia and PD, both within individuals and in different individuals within ET families. This observation has mechanistic implications. Furthermore, we believe the concept of the “mixed motor disorder” should enter into and inform the clinical dialogue. In assigning diagnoses, clinicians are swayed by family history information, and they should be prepared a mix of different motor disorders to manifest within particular families.

2001 ◽  
Vol 16 (2) ◽  
pp. 320-324 ◽  
Author(s):  
Elan D. Louis ◽  
Livia F. Barnes ◽  
Blair Ford ◽  
Ruth Ottman

2011 ◽  
Vol 42 (5) ◽  
pp. 296-308
Author(s):  
Ridgely Fisk Green ◽  
Joan Ehrhardt ◽  
Margaret F. Ruttenber ◽  
Richard S. Olney

1991 ◽  
Vol 133 (8) ◽  
pp. 757-765 ◽  
Author(s):  
Pamela H. Phillips ◽  
Martha S. Linet ◽  
Emily L. Harris

Author(s):  
Christopher Kennard

This chapter discusses motor disorders of the eye. The first part of the chapter describes the proper examination of eye movements to facilitate identification of ocular motor disorder pathology. The effects of nerve palsies on ocular motor function are then described.Eye movement disorders can also have their cause in the central nervous system; both the brainstem, and cerebellum have been implicated as causal factors in some eye movement disorders. Disorders of the pupil, which affect the pupillary light reflex, can be caused by lesions to central, afferent and efferent pupillary pathways as well as sympathetic pathways lesions.Finally, this chapter describes diseases of the eye orbits, including dysthyroid eye disease, idiopathic orbital inflammation, orbital tumours, vascular disorders and orbital infections.


2002 ◽  
Vol 20 (2) ◽  
pp. 528-537 ◽  
Author(s):  
Kevin M. Sweet ◽  
Terry L. Bradley ◽  
Judith A. Westman

PURPOSE: Obtainment of family history and accurate assessment is essential for the identification of families at risk for hereditary cancer. Our study compared the extent to which the family cancer history in the physician medical record reflected that entered by patients directly into a touch-screen family history computer program. PATIENTS AND METHODS: The study cohort consisted of 362 patients seen at a comprehensive cancer center ambulatory clinic over a 1-year period who voluntarily used the computer program and were a mixture of new and return patients. The computer entry was assessed by genetics staff and then compared with the medical record for corroboration of family history information and appropriate physician risk assessment. RESULTS: Family history information from the medical record was available for comparison to the computer entry in 69%. It was most often completed on new patients only and not routinely updated. Of the 362 computer entries, 101 were assigned to a high-risk category. Evidence in the records confirmed 69 high-risk individuals. Documentation of physician risk assessment (ie, notation of significant family cancer history or hereditary risk) was found in only 14 of the high-risk charts. Only seven high-risk individuals (6.9%) had evidence of referral for genetic consultation. CONCLUSION: This study demonstrates the need to collect family history information on all new and established patients in order to perform adequate cancer risk assessment. The lack of identification of patients at highest risk seems to be directly correlated with insufficient data collection, risk assessment, and documentation by medical staff.


Author(s):  
Xue Shi ◽  
Dehuan Jiang ◽  
Yuanhang Huang ◽  
Xiaolong Wang ◽  
Qingcai Chen ◽  
...  

Abstract Background Family history (FH) information, including family members, side of family of family members (i.e., maternal or paternal), living status of family members, observations (diseases) of family members, etc., is very important in the decision-making process of disorder diagnosis and treatment. However FH information cannot be used directly by computers as it is always embedded in unstructured text in electronic health records (EHRs). In order to extract FH information form clinical text, there is a need of natural language processing (NLP). In the BioCreative/OHNLP2018 challenge, there is a task regarding FH extraction (i.e., task1), including two subtasks: (1) entity identification, identifying family members and their observations (diseases) mentioned in clinical text; (2) family history extraction, extracting side of family of family members, living status of family members, and observations of family members. For this task, we propose a system based on deep joint learning methods to extract FH information. Our system achieves the highest F1- scores of 0.8901 on subtask1 and 0.6359 on subtask2, respectively.


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