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Abnormal Admission Chest X-Ray and MEWS as ICU Outcome Predictors in a Sub-Saharan Tertiary Hospital: A Prospective Observational Study
Background. Critical care in Uganda is a neglected speciality and deemed costly with limited funding/prioritization. We studied admission X-ray and MEWS as mortality predictors of ICU patients requiring mechanical ventilation. Materials and Methods. We did a cross-sectional study in Mulago Hospital...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045988/ https://www.ncbi.nlm.nih.gov/pubmed/27721991 http://dx.doi.org/10.1155/2016/7134854 |
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author | Ssemmanda, Hannington Luggya, Tonny Stone Lubulwa, Clare Muyinda, Zeridah Kwitonda, Pascal Wanzira, Humphrey Ejoku, Joseph |
author_facet | Ssemmanda, Hannington Luggya, Tonny Stone Lubulwa, Clare Muyinda, Zeridah Kwitonda, Pascal Wanzira, Humphrey Ejoku, Joseph |
author_sort | Ssemmanda, Hannington |
collection | PubMed |
description | Background. Critical care in Uganda is a neglected speciality and deemed costly with limited funding/prioritization. We studied admission X-ray and MEWS as mortality predictors of ICU patients requiring mechanical ventilation. Materials and Methods. We did a cross-sectional study in Mulago Hospital ICU and 87 patients for mechanical ventilation were recruited with mortality as the outcome of interest. Chest X-ray results were the main independent variable and MEWS was also gotten for all patients. Results. We recruited 87 patients; most were males (60.92%), aged between 16 and 45 years (59.77%), and most admissions for mechanical ventilation were from the Trauma Unit (30.77%). Forty-one (47.13%) of the 87 patients died and of these 34 (53.13%) had an abnormal CXR with an insignificant IRR = 1.75 (0.90–3.38) (p = 0.062). Patients with MEWS ≥ 5 (p values = 0.018) and/or having an abnormal superior mediastinum (p values = 0.013) showed a positive association with mortality while having a MEWS ≥ 5 had an incidence risk ratio = 3.29 (1.00–12.02) (p = 0.018). MEWS was a good predictor of mortality (predictive value = 0.6739). Conclusion. Trauma (31%) caused most ICU admissions, having an abnormal admission chest X-rays positively associated with mortality and a high MEWS was also a good predictor of mortality. |
format | Online Article Text |
id | pubmed-5045988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-50459882016-10-09 Abnormal Admission Chest X-Ray and MEWS as ICU Outcome Predictors in a Sub-Saharan Tertiary Hospital: A Prospective Observational Study Ssemmanda, Hannington Luggya, Tonny Stone Lubulwa, Clare Muyinda, Zeridah Kwitonda, Pascal Wanzira, Humphrey Ejoku, Joseph Crit Care Res Pract Research Article Background. Critical care in Uganda is a neglected speciality and deemed costly with limited funding/prioritization. We studied admission X-ray and MEWS as mortality predictors of ICU patients requiring mechanical ventilation. Materials and Methods. We did a cross-sectional study in Mulago Hospital ICU and 87 patients for mechanical ventilation were recruited with mortality as the outcome of interest. Chest X-ray results were the main independent variable and MEWS was also gotten for all patients. Results. We recruited 87 patients; most were males (60.92%), aged between 16 and 45 years (59.77%), and most admissions for mechanical ventilation were from the Trauma Unit (30.77%). Forty-one (47.13%) of the 87 patients died and of these 34 (53.13%) had an abnormal CXR with an insignificant IRR = 1.75 (0.90–3.38) (p = 0.062). Patients with MEWS ≥ 5 (p values = 0.018) and/or having an abnormal superior mediastinum (p values = 0.013) showed a positive association with mortality while having a MEWS ≥ 5 had an incidence risk ratio = 3.29 (1.00–12.02) (p = 0.018). MEWS was a good predictor of mortality (predictive value = 0.6739). Conclusion. Trauma (31%) caused most ICU admissions, having an abnormal admission chest X-rays positively associated with mortality and a high MEWS was also a good predictor of mortality. Hindawi Publishing Corporation 2016 2016-09-19 /pmc/articles/PMC5045988/ /pubmed/27721991 http://dx.doi.org/10.1155/2016/7134854 Text en Copyright © 2016 Hannington Ssemmanda et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ssemmanda, Hannington Luggya, Tonny Stone Lubulwa, Clare Muyinda, Zeridah Kwitonda, Pascal Wanzira, Humphrey Ejoku, Joseph Abnormal Admission Chest X-Ray and MEWS as ICU Outcome Predictors in a Sub-Saharan Tertiary Hospital: A Prospective Observational Study |
title | Abnormal Admission Chest X-Ray and MEWS as ICU Outcome Predictors in a Sub-Saharan Tertiary Hospital: A Prospective Observational Study |
title_full | Abnormal Admission Chest X-Ray and MEWS as ICU Outcome Predictors in a Sub-Saharan Tertiary Hospital: A Prospective Observational Study |
title_fullStr | Abnormal Admission Chest X-Ray and MEWS as ICU Outcome Predictors in a Sub-Saharan Tertiary Hospital: A Prospective Observational Study |
title_full_unstemmed | Abnormal Admission Chest X-Ray and MEWS as ICU Outcome Predictors in a Sub-Saharan Tertiary Hospital: A Prospective Observational Study |
title_short | Abnormal Admission Chest X-Ray and MEWS as ICU Outcome Predictors in a Sub-Saharan Tertiary Hospital: A Prospective Observational Study |
title_sort | abnormal admission chest x-ray and mews as icu outcome predictors in a sub-saharan tertiary hospital: a prospective observational study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045988/ https://www.ncbi.nlm.nih.gov/pubmed/27721991 http://dx.doi.org/10.1155/2016/7134854 |
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