Therapeutic plasma exchange in steroid-refractory multiple sclerosis relapses. A retrospective two-center study

Blechinger, Stephan; Ehler, Johannes; Bsteh, Gabriel; Winkelmann, Alexander; Leutmezer, Fritz; Meister, Stefanie; Santer, Agnes; Hecker, Michael; Berger, Thomas; Zettl, Uwe K.

doi:10.1177/1756286420975642

Cited by 15 publications

(9 citation statements)

References 25 publications

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“…In practice, MS patients may be wrongly mixed with other white matter disorders, e.g., neuromyelitis optica (Sousa et al, 2021), acute disseminated encephalomyelitis, acute cerebral infarction (Moreno-Andrade et al, 2021), etc. Consequently, error-free MS diagnosis is of extreme significance to patients, as they can be allowed more time to decide on the subsequent treatments to help control the condition, such as treating relapses (Hartung et al, 2021) with short courses of steroid medicine (Blechinger et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm

2021

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Aim: Multiple sclerosis (MS) is a disease, which can affect the brain and/or spinal cord, leading to a wide range of potential symptoms. This method aims to propose a novel MS recognition method.Methods: First, the bior4.4 wavelet is used to extract multiscale coefficients. Second, three types of biorthogonal wavelet features are proposed and calculated. Third, fitness-scaled adaptive genetic algorithm (FAGA)—a combination of standard genetic algorithm, adaptive mechanism, and power-rank fitness scaling—is harnessed as the optimization algorithm. Fourth, multiple-way data augmentation is utilized on the training set under the setting of 10 runs of 10-fold cross-validation. Our method is abbreviated as BWF-FAGA.Results: Our method achieves a sensitivity of 98.00 ± 0.95%, a specificity of 97.78 ± 0.95%, and an accuracy of 97.89 ± 0.94%. The area under the curve of our method is 0.9876.Conclusion: The results show that the proposed BWF-FAGA method is better than 10 state-of-the-art MS recognition methods, including eight artificial intelligence-based methods, and two deep learning-based methods.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm

2021

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“…Plasma exchange is effective in antibody-mediated neurological diseases, such as GBS, and in the treatment of acute exacerbation of neuroimmunological diseases, in which it can yield rapid clinical improvements 80 – 82 . The response to vaccines administered during plasma exchange for neuroimmunological diseases has not been studied systematically.…”

Section: Immunotherapy and Vaccination Responsementioning

confidence: 99%

Vaccination and immunotherapies in neuroimmunological diseases

et al. 2022

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“…The first choice for the treatment of acute relapses is glucocorticoids. In the case of steroid-refractory relapses, an escalating therapy with apheresis may be indicated [48,49]. In the past years, a wide range of disease-modifying treatments for MS have been approved to prevent new lesions, reduce the frequency of relapses and slow down the rate of disability worsening [50].…”

Section: Multiple Sclerosismentioning

confidence: 99%

Genetic, Environmental and Lifestyle Determinants of Accelerated Telomere Attrition as Contributors to Risk and Severity of Multiple Sclerosis

et al. 2021

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Telomeres are protective structures at the ends of linear chromosomes. Shortened telomere lengths (TL) are an indicator of premature biological aging and have been associated with a wide spectrum of disorders, including multiple sclerosis (MS). MS is a chronic inflammatory, demyelinating and neurodegenerative disease of the central nervous system. The exact cause of MS is still unclear. Here, we provide an overview of genetic, environmental and lifestyle factors that have been described to influence TL and to contribute to susceptibility to MS and possibly disease severity. We show that several early-life factors are linked to both reduced TL and higher risk of MS, e.g., adolescent obesity, lack of physical activity, smoking and vitamin D deficiency. This suggests that the mechanisms underlying the disease are connected to cellular aging and senescence promoted by increased inflammation and oxidative stress. Additional prospective research is needed to clearly define the extent to which lifestyle changes can slow down disease progression and prevent accelerated telomere loss in individual patients. It is also important to further elucidate the interactions between shared determinants of TL and MS. In future, cell type-specific studies and advanced TL measurement methods could help to better understand how telomeres may be causally involved in disease processes and to uncover novel opportunities for improved biomarkers and therapeutic interventions in MS.

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Therapeutic plasma exchange in steroid-refractory multiple sclerosis relapses. A retrospective two-center study

Cited by 15 publications

References 25 publications

RETRACTED: Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm

RETRACTED: Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm

Vaccination and immunotherapies in neuroimmunological diseases

Genetic, Environmental and Lifestyle Determinants of Accelerated Telomere Attrition as Contributors to Risk and Severity of Multiple Sclerosis

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