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Showing 2 results for Blood Cells

Farshid Fayyaz ,
Volume 9, Issue 4 (10-2015)
Abstract

Abstract

     Background and Objective: Aluminum Phosphide (ALP) is a solid non-organic phosphide with dark gray or dark yellow crystals. It reacts with stomach acid after ingestion and causes phosphine gas to be released. It is thought that phosphine causes toxicity from enzymatic interference and may even lead to cell death. This study aimed to investigate the effects of poisoning with rice tablet on levels of platelets, hemoglobin, white blood cells.

     Methods: The clinical records of 67 cases of acute oral toxicity with aluminum phosphide admitted to Baharloo hospital and 28 forensic autopsy cases in Kahrizak forensic research center were studied. Recorded information included vital signs, demographic characteristics, numerous laboratory and clinical findings, complications and all pathologic findings.

      Results: All patients had received standard symptomatic and supportive treatments. Among the tested subjects, 30 of 67 patients (44.8%) were male. The mean hemoglobin level of recovered and deceased individuals was 12.26 and 11.72 g/dl, respectively. There was a significant relationship between patients’ WBC counts and mortality where the mean level of WBC in the deceased  was more than that of the recovered (P=0.001). Mean SBP in the deceased and the recovered individuals was 79.67 ± 12.89 and 102.46 ± 22.57 mmHg, respectively.

      Conclusion: Consumption of rice tablets results in blood pressure alteration, hemoglobin levels, platelets and leukocyte count. Tracking these alterations can reduce the side effects and mortality rate in the cases of rice tablet poisoning.

     Keywords: Aluminum Phosphide, White Blood Cells, Hemoglobins, Blood Pressure, Patients


Mohammad Fayaz, Vahid Tajari, Mohammad Hosein Taziki Balajelini, Abdolhalim Rajabi, Seyed Mehran Hosseini,
Volume 18, Issue 1 (1-2024)
Abstract

Background: The outcome of hospitalized COVID-19 patients is predictable according to demographic, clinical, laboratory, and imaging risk factors. We aimed to determine the best outcome predictors and their trends during 30 days of hospitalization.
Methods: This retrospective study was conducted on moderate to severe hospitalized COVID-19 patients from 26 January 2020 to 13 January 2021. The length of stay in the hospital was considered as the time interval between admission and discharge, and the patient's final condition was defined as either dead or alive. Demographic, clinical, and laboratory data were collected from the hospital information system. The generalized additive model and the Cox regression model were used to model data.
Results: Of the 1520 hospitalized COVID-19 patients, 232 (15.26%) died and 1288 survived or reached the end of 30 days of hospitalization. We selected demographic, clinical, and 131 independent laboratory variables. Blood urea nitrogen (BUN) had a nearly double average in the dead group (44.603 [± 25.408] mg/dL) than the survived group (21.304 [± 13.318] mg/dL), and the lymphocyte (Lymph) count showed the opposite trend. The estimated hazard ratio (HR) of these 2 factors was higher than 1 and was statistically significant. In daily stay trends, the hazard function of them also increased rapidly after 15 days.
Conclusion: Blood urea nitrogen and complete blood count provide strong predictive clues about the prognosis of hospitalized COVID-19 patients, and rapid dynamic changes in the second week can predict a poor outcome in these patients.


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