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Prescription patterns in an intensive care unit of COVID‐19 patients in Bangladesh: A cross‐sectional study

BACKGROUND AND AIMS: To reduce death rates for critical patients hospitalized in intensive care units (ICUs), coronavirus (COVID‐19) lacks proven and efficient treatment methods. This cross‐sectional study aims to evaluate how physicians treat severe and suspected COVID‐19 patients in the ICU depart...

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Autores principales: Rahman, Tanvir, Islam, Md. Saiful, Paul, Shyamjit, Islam, Md. Momin, Samadd, Md. Abdus, Reyda, Rashmia Nargis, Sarkar, Md. Raihan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654379/
https://www.ncbi.nlm.nih.gov/pubmed/38028685
http://dx.doi.org/10.1002/hsr2.1711
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author Rahman, Tanvir
Islam, Md. Saiful
Paul, Shyamjit
Islam, Md. Momin
Samadd, Md. Abdus
Reyda, Rashmia Nargis
Sarkar, Md. Raihan
author_facet Rahman, Tanvir
Islam, Md. Saiful
Paul, Shyamjit
Islam, Md. Momin
Samadd, Md. Abdus
Reyda, Rashmia Nargis
Sarkar, Md. Raihan
author_sort Rahman, Tanvir
collection PubMed
description BACKGROUND AND AIMS: To reduce death rates for critical patients hospitalized in intensive care units (ICUs), coronavirus (COVID‐19) lacks proven and efficient treatment methods. This cross‐sectional study aims to evaluate how physicians treat severe and suspected COVID‐19 patients in the ICU department in the absence of an established approach, as well as assess the rational use of the medication in the ICU department. METHODS: Between June 16, 2021, and December 10, 2022, a total of 428 prescriptions were randomly gathered, including both suspected (yellow zone) and confirmed (red zone) COVID‐19 patients. For data management, Microsoft Excel 2021 was utilized, while STATA 17 provided statistical analysis. To find associations between patients' admission status and demographic details, exploratory and bivariate analyses were conducted. RESULTS: Of the 428 patients admitted to the ICU, 228 (53.27%) were in the yellow zone and 200 (46.73%) were in the verified COVID‐19 red zone. The majority of patients were male (54.44%), and the age range from 41 to 60 was the most common (41.82%). No significant deviation was detected to the yellow and red groups' prescription patterns. A total of 4001 medicines (mean 9.35/patient) were prescribed. Antiulcerants, antibiotics, respiratory, analgesics, anticoagulants, vitamins and minerals, steroids, cardiovascular, antidiabetic drugs, antivirals, antihistamines, muscle relaxants, and antifungal treatments were widely prescribed drugs. Enoxaparin (67.06%) appeared as the most prescribed medicine, followed by montelukast (60.51%), paracetamol (58.41%), and dexamethasone (51.64%). CONCLUSION: The prescription patterns for the yellow and red groups were comparable and mostly included symptomatic treatment. Respiratory drugs constituted the most frequent therapeutic class. Polypharmacy should be taken under considerations. In ICU settings, the outcomes emphasize the need of correct diagnosis, cautious antibiotic usage, suitable therapy, and attentive monitoring.
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spelling pubmed-106543792023-11-16 Prescription patterns in an intensive care unit of COVID‐19 patients in Bangladesh: A cross‐sectional study Rahman, Tanvir Islam, Md. Saiful Paul, Shyamjit Islam, Md. Momin Samadd, Md. Abdus Reyda, Rashmia Nargis Sarkar, Md. Raihan Health Sci Rep Original Research BACKGROUND AND AIMS: To reduce death rates for critical patients hospitalized in intensive care units (ICUs), coronavirus (COVID‐19) lacks proven and efficient treatment methods. This cross‐sectional study aims to evaluate how physicians treat severe and suspected COVID‐19 patients in the ICU department in the absence of an established approach, as well as assess the rational use of the medication in the ICU department. METHODS: Between June 16, 2021, and December 10, 2022, a total of 428 prescriptions were randomly gathered, including both suspected (yellow zone) and confirmed (red zone) COVID‐19 patients. For data management, Microsoft Excel 2021 was utilized, while STATA 17 provided statistical analysis. To find associations between patients' admission status and demographic details, exploratory and bivariate analyses were conducted. RESULTS: Of the 428 patients admitted to the ICU, 228 (53.27%) were in the yellow zone and 200 (46.73%) were in the verified COVID‐19 red zone. The majority of patients were male (54.44%), and the age range from 41 to 60 was the most common (41.82%). No significant deviation was detected to the yellow and red groups' prescription patterns. A total of 4001 medicines (mean 9.35/patient) were prescribed. Antiulcerants, antibiotics, respiratory, analgesics, anticoagulants, vitamins and minerals, steroids, cardiovascular, antidiabetic drugs, antivirals, antihistamines, muscle relaxants, and antifungal treatments were widely prescribed drugs. Enoxaparin (67.06%) appeared as the most prescribed medicine, followed by montelukast (60.51%), paracetamol (58.41%), and dexamethasone (51.64%). CONCLUSION: The prescription patterns for the yellow and red groups were comparable and mostly included symptomatic treatment. Respiratory drugs constituted the most frequent therapeutic class. Polypharmacy should be taken under considerations. In ICU settings, the outcomes emphasize the need of correct diagnosis, cautious antibiotic usage, suitable therapy, and attentive monitoring. John Wiley and Sons Inc. 2023-11-16 /pmc/articles/PMC10654379/ /pubmed/38028685 http://dx.doi.org/10.1002/hsr2.1711 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Rahman, Tanvir
Islam, Md. Saiful
Paul, Shyamjit
Islam, Md. Momin
Samadd, Md. Abdus
Reyda, Rashmia Nargis
Sarkar, Md. Raihan
Prescription patterns in an intensive care unit of COVID‐19 patients in Bangladesh: A cross‐sectional study
title Prescription patterns in an intensive care unit of COVID‐19 patients in Bangladesh: A cross‐sectional study
title_full Prescription patterns in an intensive care unit of COVID‐19 patients in Bangladesh: A cross‐sectional study
title_fullStr Prescription patterns in an intensive care unit of COVID‐19 patients in Bangladesh: A cross‐sectional study
title_full_unstemmed Prescription patterns in an intensive care unit of COVID‐19 patients in Bangladesh: A cross‐sectional study
title_short Prescription patterns in an intensive care unit of COVID‐19 patients in Bangladesh: A cross‐sectional study
title_sort prescription patterns in an intensive care unit of covid‐19 patients in bangladesh: a cross‐sectional study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654379/
https://www.ncbi.nlm.nih.gov/pubmed/38028685
http://dx.doi.org/10.1002/hsr2.1711
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