P 159 Long-time course of idiopathic small fiber neuropathy

2017 ◽  
Vol 128 (10) ◽  
pp. e405
Author(s):  
P. Floßdorf ◽  
W.F. Haupt ◽  
A. Brunn ◽  
G.R. Fink ◽  
G. Wunderlich
Keyword(s):  
Time Course ◽  
Small Fiber Neuropathy ◽  
Small Fiber ◽  
Long Time

scholarly journals Long-Time Course of Idiopathic Small Fiber Neuropathy

2018 ◽  
Vol 79 (3-4) ◽  
pp. 161-165 ◽  
Author(s):  
Pia Flossdorf ◽  
Walter F. Haupt ◽  
Anna Brunn ◽  
Martina Deckert ◽  
Gereon R. Fink ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Time Course ◽  
Benign Disease ◽  
Small Fiber Neuropathy ◽  
Disease Course ◽  
Peripheral Neuropathies ◽  
Small Fiber ◽  
Long Time ◽  
Large Fiber

Background: Small fiber neuropathy (SFN) is a challenging subtype of peripheral neuropathies. Once the diagnosis has been established, there is an uncertainty how SFN may progress, whether larger fibers will become involved over time, whether quality of life may be compromised, or whether repeated diagnostic workup in patients with unknown underlying cause may increase the yield of treatable causes of SFN. Methods: We evaluated 16 patients with documented long-time course of idiopathic SFN. Results: Clinical and electrophysiological course remained stable in 75% of the patients, while 25% SFN-patients developed large fiber neuropathies. Conclusions: Our data suggest that SFN represents a benign disease course in the majority of patients without severely limiting the quality of life.

Erythromelalgia Linked to Small Fiber Neuropathy

2006 ◽  
Vol 37 (5) ◽  
pp. 38
Author(s):  
JANE SALODOF MACNEIL
Keyword(s):  
Small Fiber Neuropathy ◽  
Small Fiber

Schmerz-Evozierte Potentiale: Eine neue Methode in der Diagnostik der small-fiber neuropathy bei HIV-positiven Patienten

2004 ◽  
Vol 31 (S 1) ◽  
Author(s):  
Z Katsarava ◽  
Ö Yaldizli ◽  
C Voulkoudis ◽  
S Esser ◽  
HC Diener ◽  
...  
Keyword(s):  
Small Fiber Neuropathy ◽  
Small Fiber ◽  
Evozierte Potentiale

scholarly journals Diagnosing small fiber neuropathy in clinical practice: a deep phenotyping study

2021 ◽  
Vol 14 ◽  
pp. 175628642110043
Author(s):  
Nadine Egenolf ◽  
Caren Meyer zu Altenschildesche ◽  
Luisa Kreß ◽  
Katja Eggermann ◽  
Barbara Namer ◽  
...  
Keyword(s):  
Neurological Examination ◽  
Punch Biopsy ◽  
Small Fiber Neuropathy ◽  
Fiber Density ◽  
Axon Reflex ◽  
Small Fiber ◽  
Corneal Confocal Microscopy ◽  
Intraepidermal Nerve Fiber Density ◽  
Number Of Patients ◽  
Skin Punch Biopsy

Background and aims: Small fiber neuropathy (SFN) is increasingly suspected in patients with pain of uncertain origin, and making the diagnosis remains a challenge lacking a diagnostic gold standard. Methods: In this case–control study, we prospectively recruited 86 patients with a medical history and clinical phenotype suggestive of SFN. Patients underwent neurological examination, quantitative sensory testing (QST), and distal and proximal skin punch biopsy, and were tested for pain-associated gene loci. Fifty-five of these patients additionally underwent pain-related evoked potentials (PREP), corneal confocal microscopy (CCM), and a quantitative sudomotor axon reflex test (QSART). Results: Abnormal distal intraepidermal nerve fiber density (IENFD) (60/86, 70%) and neurological examination (53/86, 62%) most frequently reflected small fiber disease. Adding CCM and/or PREP further increased the number of patients with small fiber impairment to 47/55 (85%). Genetic testing revealed potentially pathogenic gene variants in 14/86 (16%) index patients. QST, QSART, and proximal IENFD were of lower impact. Conclusion: We propose to diagnose SFN primarily based on the results of neurological examination and distal IENFD, with more detailed phenotyping in specialized centers.

scholarly journals The long-term course of fatigue following breast cancer diagnosis

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Karin Biering ◽  
Morten Frydenberg ◽  
Helle Pappot ◽  
Niels Henrik Hjollund
Keyword(s):  
Breast Cancer ◽  
Time Course ◽  
Breast Cancer Diagnosis ◽  
Patient Characteristics ◽  
Repeated Measurements ◽  
Diagnosis And Treatment ◽  
Persistent Problem ◽  
Treatment Regimens ◽  
Long Time

Abstract Purpose Fatigue following breast cancer is a well-known problem, with both high and persistent prevalence. Previous studies suffer from lack of repeated measurements, late recruitment and short periods of follow-up. The course of fatigue from diagnosis and treatment to the long-time outcome status is unknown as well as differences in the level of fatigue between treatment regimens. The purpose of this study was to describe the long-time course of fatigue from the time of clinical suspicion of breast cancer, its dependence of patient characteristics and treatment regimens and the comparison with the course of fatigue among women with the same suspicion, but not diagnosed with breast cancer. Methods Three hundred thirty-two women referred to acute or subacute mammography was followed with questionnaires from before the mammography and up to 1500 days. Fatigue was measured by the Multidimensional Fatigue Inventory (MFI-20). The women reported their initial level of fatigue before the mammography and thus without knowledge of whether they had cancer or not. Both women with and without cancer were followed. Women with cancer were identified in the clinical database established by Danish Breast Cancer Cooperative Group (DBCG) to collect information on treatment regimen. Results Compared to fatigue scores before diagnosis, women with breast cancer reported a large increase of fatigue, especially in the first 6 months, followed by a slow decrease over time. Despite the long follow-up period, the women with breast cancer did not return to their level of fatigue at time of the mammography. Women without breast cancer, experienced a rapid decrease of fatigue after disproval of diagnosis followed by a steadier period. Conclusions Fatigue is a persistent problem in women diagnosed with breast cancer, even several years following diagnosis and treatment. The women with breast cancer were most affected by fatigue in the first 6 months after diagnosis.

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