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Khatoon Heydari, Ramin Azarhoosh, Vahideh Kazeminejhad, Fatemeh Shakeri, Alireza Noroozi,
Volume 9, Issue 5 (Nov,Dec-2015 2015)
Abstract

Abstract

      Background and Objective: BabA2 and Hpa genes are involved in adherence of Helicobacter pylori (H.pylori) to gastric mucosal tissue. This study aimed to investigate the frequency of these genes in isolates of H. pylori from gastric biopsies and their relationship with gastritis, peptic ulcer and gastric cancer.

      Methods: Gastric biopsy samples were obtained from patients with gastritis, peptic ulcer and gastric cancer. A sample was sent to the laboratory for urease test and histopathology study, and another sample for DNA extraction. The frequency of BabA2 and Hpa genes was investigated using their specific primers by PCR.

      Results: Among the 80 analyzed biopsy samples, 51 (63%) were BabA2 positive, and the frequency of this gene in the samples of gastric cancer, gastritis and peptic ulcer was 61.1, 58.3 and 73.3%, respectively. In addition, 57 samples (71%) were Hpa positive, and the frequency of this gene in the samples of gastric cancer, gastritis and peptic ulcer was 55.5, 69.4 and 84.6%, respectively. There was no significant correlation between the presence of these genes and the type of H.pylori-related diseases.

       Conclusion: Frequency of BabA2 and Hpa genes is higher in the samples of peptic ulcer but there was no significant relationship between these genes and H.pylori-related diseases.

      Keywords: BabA2, Hpa, Gastric Cancer, Gastritis, Peptic Ulcer.


Puja Kumari Jha, Rachna Agarwal, Rafat Sultana Ahmed,
Volume 15, Issue 6 (Special issue (Nov-Dec) 2021)
Abstract

Background and objectives: Turnaround time (TAT) is an important quality indicator for benchmarking laboratory performance. Delay in TAT may affect patient safety; thus, continuous monitoring and analysis of laboratory workflow is mandatory. This study was designed to improve the TAT of two biochemistry laboratories serving in tertiary care teaching hospitals (multispecialty and super-specialty) through the application of quality tools namely quality failure reporting, the Fishbone model, and process mapping.
Methods: First, TAT was defined for routine (four hours) and urgent samples (two hours). Then, TAT failureincidents in 2018-2019 were analyzed using the Fishbone model. The process map of TAT was studied and made more value streamed and lean after removal of waste steps.Corrective action plans were prioritized and implemented for potential causes with more adverse outcomes. Pilot solutions were implemented for six months and TAT failures incidents were reanalyzed.
Results: The quality failure in TAT reporting was reduced by 22% (from 34% to 12%) for urgent samples and by 19% (from 27% to 8%) for routine samples after the implementation of quality tools in multispecialty hospital laboratory. In the super-specialty hospital laboratory, the improvement was more profound and the TAT percentage achieved after the corrective actions was 96.57% and 98% for urgent and routine samples, respectively.
Conclusion: Implementation of quality failure reporting culture along with quality tools led to significant improvement in TAT and higher quality laboratory performance in terms of efficiency, reliability, and increased patient safety.

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