Effect of Smoking on the Results of Esophageal pH Measurement in Clinical Routine

1997 ◽  
Vol 25 (3) ◽  
pp. 503-506 ◽  
Author(s):  
Christian Pehl ◽  
Albrecht Pfeiffer ◽  
Barbara Wendl ◽  
Ira Nagy ◽  
Herbert Kaess
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Priyanka Gupta ◽  
Jhuma Sankar ◽  
B. Kiran Kumar ◽  
Kana Ram Jat ◽  
Aparna Mukherjee ◽  
...  

1964 ◽  
Vol 47 (4) ◽  
pp. 388-394 ◽  
Author(s):  
Irwin E. Vinnik ◽  
Fred Kern

2003 ◽  
Vol 42 (05) ◽  
pp. 215-219
Author(s):  
G. Platsch ◽  
A. Schwarz ◽  
K. Schmiedehausen ◽  
B. Tomandl ◽  
W. Huk ◽  
...  

Summary: Aim: Although the fusion of images from different modalities may improve diagnostic accuracy, it is rarely used in clinical routine work due to logistic problems. Therefore we evaluated performance and time needed for fusing MRI and SPECT images using a semiautomated dedicated software. Patients, material and Method: In 32 patients regional cerebral blood flow was measured using 99mTc ethylcystein dimer (ECD) and the three-headed SPECT camera MultiSPECT 3. MRI scans of the brain were performed using either a 0,2 T Open or a 1,5 T Sonata. Twelve of the MRI data sets were acquired using a 3D-T1w MPRAGE sequence, 20 with a 2D acquisition technique and different echo sequences. Image fusion was performed on a Syngo workstation using an entropy minimizing algorithm by an experienced user of the software. The fusion results were classified. We measured the time needed for the automated fusion procedure and in case of need that for manual realignment after automated, but insufficient fusion. Results: The mean time of the automated fusion procedure was 123 s. It was for the 2D significantly shorter than for the 3D MRI datasets. For four of the 2D data sets and two of the 3D data sets an optimal fit was reached using the automated approach. The remaining 26 data sets required manual correction. The sum of the time required for automated fusion and that needed for manual correction averaged 320 s (50-886 s). Conclusion: The fusion of 3D MRI data sets lasted significantly longer than that of the 2D MRI data. The automated fusion tool delivered in 20% an optimal fit, in 80% manual correction was necessary. Nevertheless, each of the 32 SPECT data sets could be merged in less than 15 min with the corresponding MRI data, which seems acceptable for clinical routine use.


1997 ◽  
Vol 36 (04/05) ◽  
pp. 340-344 ◽  
Author(s):  
I. Korhonen ◽  
M. van Gils ◽  
A. Kari ◽  
N. Saranummi

Abstract:Improved monitoring improves outcomes of care. As critical care is “critical”, everything that can be done to detect and prevent complications as early as possible benefits the patients. In spite of major efforts by the research community to develop and apply sophisticated biosignal interpretation methods (BSI), the uptake of the results by industry has been poor. Consequently, the BSI methods used in clinical routine are fairly simple. This paper postulates that the main reason for the poor uptake is the insufficient bridging between the actors (i.e., clinicians, industry and research). This makes it difficult for the BSI developers to understand what can be implemented into commercial systems and what will be accepted by clinicians as routine tools. A framework is suggested that enables improved interaction and cooperation between the actors. This framework is based on the emerging commercial patient monitoring and data management platforms which can be shared and utilized by all concerned, from research to development and finally to clinical evaluation.


Author(s):  
А.А. Курылев ◽  
Б.В. Андреев

Несмотря на доступность в клинической практике широкого круга классических и атипичных антипсихотиков (АП), по-прежнему наблюдается широкая вариабельность ответа на психофармакотерапию. Эта вариабельность обусловлена генетической гетерогенностью как самой шизофрении, так и метаболизма АП. Стандартные назначаемые дозы АП далеко не всегда являются оптимальными. Генетическая вариабельность систем биотрансформации и биодоступности АП могут играть значимую роль в формировании ответа на терапию и развитии нежелательных реакций. Целью исследования стало проведение обзора литературы по проблеме клинической эффективности применения генотипирования полиморфизмов CYP2D6 при терапии антипсихотиками. Большинство фармакокинетических исследований обнаруживают сильную достоверную положительную корреляцию метаболического статуса CYP2D6, определенного путем генотипирования полиморфизмов CYP2D6 и фармакокинетических параметров АП (AUC, период полувыведения, клиренс). Однако статистически достоверных связей между полиморфизмами CYP2D6 и эффективностью терапии АП в большинстве исследований обнаружено не было, прежде всего из-за недостаточного количества участников, гетерогенности сравниваемых когорт, применении различных АП и использовании разных критериев эффективности. Перспективные исследования с хорошо сбалансированными группами сравнения, а также масштабные ретроспективные исследования демонстрируют достоверную корреляцию метаболического статуса CYP2D6 и частоты развития нежелательных реакций АП (лекарственный паркинсонизм и поздняя дискинезия). Для более точной оценки величины вклада генетических полиморфизмов CYP2D6 в эффективность и безопасность психофармакотерапии необходимы масштабные перспективные клинические исследования. Although a number of typical and atypical antipsychotics (AP) have been discovered and used in psychiatric clinical practice the variability in response to AP is quite high. This variability is partially explained by a genetic heterogeneity of schizophrenia and metabolism of AP. The standard prescribed antipsychotic daily dose is not always optimal. Genetic variability of biotransformation and bioavailability of AP may significantly influence on therapeutic effect and tolerability. The aim of the study was to perform literature review of studies evaluating the correlation of CYP2D6 genetic polymorphisms and AP pharmacokinetics, effectiveness and safety. Most pharmacokinetics studies show high positive significant correlation between CYP2D6 metabolic activity, determined by CYP2D6 polymorphisms genotyping and AP pharmacokinetic parameters (AUC, elimination half-life, clearance etc.). However the majority of studies were failed to demonstrate significant correlation between CYP2D6 polymorphisms and AP effectiveness mainly due to inadequate number of patient, heterogeneous cohorts, different AP and effectiveness criteria used. Prospective studies with balanced comparison groups and large retrospective studies showed significant correlation between CYP2D6 metabolic status and the frequency of AP induced AEs (parkinsonism and tardive dyskinesia). To better assess the influence of CYP2D6 genetic polymorphisms on AP effectiveness and safety in clinical routine large prospective well designed clinical studies are needed.


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