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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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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. |
format | Online Article Text |
id | pubmed-10654379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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