scholarly journals Difficult To Treat Recurrent Esophageal Dysphagia Due To Secondary Esophageal Motility Disorders: A 24 Weeks Follow Up Case Report

2019 ◽  
Vol 1 (1) ◽  
pp. 28-38
Author(s):  
Ayman M.E.M Sadek

Limited data are available on the prevalence of esophageal motility disorders (OMD) with a suggested range of 4-12% in cases with dysphagia. The proposed pathophysiology is either impairment of inhibitory innervation or overactivity of excitatory innervation. The optimal treatment is not defined until now. This case represented one of the secondary OMD in a 70 years year diabetic patient with ischemic cardiomyopathy, who was complaining of recurrent daily intermittent dysphagia to solids and fluids, with a previous vague history of esophageal dilatation without available documentation. After endoscopy with multiple biopsies and barium imaging, the picture of the corkscrew esophagus was revealed. The patient, who was already on nitrates, failed to respond to twice-daily proton pump inhibitor for two months with a prokinetic drug, calcium channel blocker, and the first session of endoscopic esophageal dilatation. After the second session of dilatation, we add sodium alginate with the substitution of nitrates with sildenafil, and the patient reported a gradual improvement of dysphagia especially to fluids with decreasing in daily attacks. We learn from this case that there is a different patient-to-patient response, which necessitates the use of different treatment modalities even just switching between nitric oxide scavengers for each patient. Keywords: Case Report; Dysphagia; esophageal Motility Disorders.

2020 ◽  
Vol 53 (3) ◽  
pp. 370-373
Author(s):  
Aleksandr A. Smirnov ◽  
Maya M. Kiriltseva ◽  
Aleksandr N. Burakov ◽  
Maksim V. Maksimov ◽  
Anna V. Botina ◽  
...  

2019 ◽  
Vol 20 (9) ◽  
pp. 495-499 ◽  
Author(s):  
David R. Miller ◽  
Leon D. Averbukh ◽  
Soo Yeon Kwon ◽  
Jessica Farrell ◽  
Siddharth Bhargava ◽  
...  

2020 ◽  
Vol 36 (6) ◽  
pp. 439-442
Author(s):  
Alissa Jell ◽  
Christina Kuttler ◽  
Daniel Ostler ◽  
Norbert Hüser

<b><i>Introduction:</i></b> Esophageal motility disorders have a severe impact on patients’ quality of life. While high-resolution manometry (HRM) is the gold standard in the diagnosis of esophageal motility disorders, intermittently occurring muscular deficiencies often remain undiscovered if they do not lead to an intense level of discomfort or cause suffering in patients. Ambulatory long-term HRM allows us to study the circadian (dys)function of the esophagus in a unique way. With the prolonged examination period of 24 h, however, there is an immense increase in data which requires personnel and time for evaluation not available in clinical routine. Artificial intelligence (AI) might contribute here by performing an autonomous analysis. <b><i>Methods:</i></b> On the basis of 40 previously performed and manually tagged long-term HRM in patients with suspected temporary esophageal motility disorders, we implemented a supervised machine learning algorithm for automated swallow detection and classification. <b><i>Results:</i></b> For a set of 24 h of long-term HRM by means of this algorithm, the evaluation time could be reduced from 3 days to a core evaluation time of 11 min for automated swallow detection and clustering plus an additional 10–20 min of evaluation time, depending on the complexity and diversity of motility disorders in the examined patient. In 12.5% of patients with suggested esophageal motility disorders, AI-enabled long-term HRM was able to reveal new and relevant findings for subsequent therapy. <b><i>Conclusion:</i></b> This new approach paves the way to the clinical use of long-term HRM in patients with temporary esophageal motility disorders and might serve as an ideal and clinically relevant application of AI.


2013 ◽  
Vol 11 (9) ◽  
pp. 1115-1121.e2 ◽  
Author(s):  
Tim Vanuytsel ◽  
Raf Bisschops ◽  
Ricard Farré ◽  
Ans Pauwels ◽  
Lieselot Holvoet ◽  
...  

Digestion ◽  
2017 ◽  
Vol 95 (4) ◽  
pp. 269-274 ◽  
Author(s):  
Shinpei Kawaguchi ◽  
Toshihisa Takeuchi ◽  
Yousuke Inoue ◽  
Yoshiaki Takahashi ◽  
Haruhiko Ozaki ◽  
...  

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