Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country
<h3>Background and Aims</h3><p dir="ltr">Clinical characteristics and factors associated with mortality in patients admitted to the intensive care unit (ICU) in countries with low case fatality rates (CFR) are unknown. We sought to determine these in a large cohort of cri...
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2022
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| author | Mohamad Y. Khatib (11659459) |
| author2 | Dore C. Ananthegowda (11659444) Moustafa S. Elshafei (11659426) Hani El‐Zeer (21347618) Wael I. Abdaljawad (14778481) Muhsen A. Shaheen (21347621) Abdulsalam S. Ibrahim (17100205) Ahmad A. Abujaber (14586054) Ahmed A. Soliman (21259727) Ahmed S. Mohamed (11659456) Mohammad Al‐Wraidat (21347624) Amna Ahmed (13192139) Abdulqadir J. Nashwan (11659453) Mohamed O. Saad (11659429) Adeel A. Butt (3697705) Muna A. Al‐Maslamani (21347627) Ahmed Al‐Mohammed (14778508) |
| author2_role | author author author author author author author author author author author author author author author author |
| author_facet | Mohamad Y. Khatib (11659459) Dore C. Ananthegowda (11659444) Moustafa S. Elshafei (11659426) Hani El‐Zeer (21347618) Wael I. Abdaljawad (14778481) Muhsen A. Shaheen (21347621) Abdulsalam S. Ibrahim (17100205) Ahmad A. Abujaber (14586054) Ahmed A. Soliman (21259727) Ahmed S. Mohamed (11659456) Mohammad Al‐Wraidat (21347624) Amna Ahmed (13192139) Abdulqadir J. Nashwan (11659453) Mohamed O. Saad (11659429) Adeel A. Butt (3697705) Muna A. Al‐Maslamani (21347627) Ahmed Al‐Mohammed (14778508) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohamad Y. Khatib (11659459) Dore C. Ananthegowda (11659444) Moustafa S. Elshafei (11659426) Hani El‐Zeer (21347618) Wael I. Abdaljawad (14778481) Muhsen A. Shaheen (21347621) Abdulsalam S. Ibrahim (17100205) Ahmad A. Abujaber (14586054) Ahmed A. Soliman (21259727) Ahmed S. Mohamed (11659456) Mohammad Al‐Wraidat (21347624) Amna Ahmed (13192139) Abdulqadir J. Nashwan (11659453) Mohamed O. Saad (11659429) Adeel A. Butt (3697705) Muna A. Al‐Maslamani (21347627) Ahmed Al‐Mohammed (14778508) |
| dc.date.none.fl_str_mv | 2022-05-17T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1002/hsr2.542 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Predictors_of_mortality_and_morbidity_in_critically_ill_COVID_19_patients_An_experience_from_a_low_mortality_country/29045102 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Health sciences Epidemiology Public health COVID-19 Intensive Care Unit (ICU) Mortality predictors Case fatality rate (CFR) Logistic regression Chronic kidney disease |
| dc.title.none.fl_str_mv | Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Background and Aims</h3><p dir="ltr">Clinical characteristics and factors associated with mortality in patients admitted to the intensive care unit (ICU) in countries with low case fatality rates (CFR) are unknown. We sought to determine these in a large cohort of critically ill COVID-19 patients in Qatar and explore the early mortality predictors. </p><h3>Methods</h3><p dir="ltr">We retrospectively studied the clinical characteristics and outcomes in patients admitted to the ICU at the national referral hospital for COVID-19 patients in Qatar. Logistic regression analysis was used to determine factors associated with mortality. </p><h3>Results</h3><p dir="ltr">Between March 7 and July 16, 2020, a total of 1079 patients with COVID-19 were admitted to the ICU. The median (IQR) age of patients was 50 (41–59) years. Diabetes (47.3%) and hypertension (42.6%) were the most common comorbidities. In-hospital mortality was 12.6% overall and 25.9% among those requiring mechanical ventilation. Factors independently associated with mortality included older age ([OR]; 2.3 [95% CI; 1.92–2.75] for each 10-year increase in age, <i>p</i> < 0.001), chronic kidney disease (OR; 1.9 [95% CI; 1.02–3.54], <i>p</i> = 0.04), active malignancy (OR; 6.15 [95% CI; 1.79–21.12], <i>p</i> = 0.004), lower platelet count at ICU admission (OR; 1.41 [95% CI; 1.13–1.75] for each 100 × 103/µl decrease, <i>p</i> = 0.002), higher neutrophil-to-lymphocyte ratio at admission (OR; 1.01 [95% CI; 1–1.02] for each 1- point increase, <i>p</i> = 0.016), higher serum ferritin level at admission (OR; 1.05 [(95% CI; 1.02–1.08] for each 500 µg/L increase, <i>p</i> = 0.002), and higher serum bilirubin level at admission (OR; 1.19 [95% CI; 1.04–1.36] for each 10 μmol/L increase, <i>p</i> = 0.01). </p><h3>Conclusions</h3><p dir="ltr">The mortality rate among critically ill COVID-19 patients is low in Qatar compared to other countries. Older age, chronic kidney disease, active malignancy, higher neutrophil-to-lymphocyte ratios, lower platelet counts, higher serum ferritin levels, and higher serum bilirubin levels are independent predictors of in-hospital mortality.</p><h2>Other Information</h2><p dir="ltr">Published in: Health Science Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/hsr2.542" target="_blank">https://dx.doi.org/10.1002/hsr2.542</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_08f5a5d44a99ae523d32839f16e71266 |
| identifier_str_mv | 10.1002/hsr2.542 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29045102 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality countryMohamad Y. Khatib (11659459)Dore C. Ananthegowda (11659444)Moustafa S. Elshafei (11659426)Hani El‐Zeer (21347618)Wael I. Abdaljawad (14778481)Muhsen A. Shaheen (21347621)Abdulsalam S. Ibrahim (17100205)Ahmad A. Abujaber (14586054)Ahmed A. Soliman (21259727)Ahmed S. Mohamed (11659456)Mohammad Al‐Wraidat (21347624)Amna Ahmed (13192139)Abdulqadir J. Nashwan (11659453)Mohamed O. Saad (11659429)Adeel A. Butt (3697705)Muna A. Al‐Maslamani (21347627)Ahmed Al‐Mohammed (14778508)Biomedical and clinical sciencesClinical sciencesHealth sciencesEpidemiologyPublic healthCOVID-19Intensive Care Unit (ICU)Mortality predictorsCase fatality rate (CFR)Logistic regressionChronic kidney disease<h3>Background and Aims</h3><p dir="ltr">Clinical characteristics and factors associated with mortality in patients admitted to the intensive care unit (ICU) in countries with low case fatality rates (CFR) are unknown. We sought to determine these in a large cohort of critically ill COVID-19 patients in Qatar and explore the early mortality predictors. </p><h3>Methods</h3><p dir="ltr">We retrospectively studied the clinical characteristics and outcomes in patients admitted to the ICU at the national referral hospital for COVID-19 patients in Qatar. Logistic regression analysis was used to determine factors associated with mortality. </p><h3>Results</h3><p dir="ltr">Between March 7 and July 16, 2020, a total of 1079 patients with COVID-19 were admitted to the ICU. The median (IQR) age of patients was 50 (41–59) years. Diabetes (47.3%) and hypertension (42.6%) were the most common comorbidities. In-hospital mortality was 12.6% overall and 25.9% among those requiring mechanical ventilation. Factors independently associated with mortality included older age ([OR]; 2.3 [95% CI; 1.92–2.75] for each 10-year increase in age, <i>p</i> < 0.001), chronic kidney disease (OR; 1.9 [95% CI; 1.02–3.54], <i>p</i> = 0.04), active malignancy (OR; 6.15 [95% CI; 1.79–21.12], <i>p</i> = 0.004), lower platelet count at ICU admission (OR; 1.41 [95% CI; 1.13–1.75] for each 100 × 103/µl decrease, <i>p</i> = 0.002), higher neutrophil-to-lymphocyte ratio at admission (OR; 1.01 [95% CI; 1–1.02] for each 1- point increase, <i>p</i> = 0.016), higher serum ferritin level at admission (OR; 1.05 [(95% CI; 1.02–1.08] for each 500 µg/L increase, <i>p</i> = 0.002), and higher serum bilirubin level at admission (OR; 1.19 [95% CI; 1.04–1.36] for each 10 μmol/L increase, <i>p</i> = 0.01). </p><h3>Conclusions</h3><p dir="ltr">The mortality rate among critically ill COVID-19 patients is low in Qatar compared to other countries. Older age, chronic kidney disease, active malignancy, higher neutrophil-to-lymphocyte ratios, lower platelet counts, higher serum ferritin levels, and higher serum bilirubin levels are independent predictors of in-hospital mortality.</p><h2>Other Information</h2><p dir="ltr">Published in: Health Science Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/hsr2.542" target="_blank">https://dx.doi.org/10.1002/hsr2.542</a></p>2022-05-17T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/hsr2.542https://figshare.com/articles/journal_contribution/Predictors_of_mortality_and_morbidity_in_critically_ill_COVID_19_patients_An_experience_from_a_low_mortality_country/29045102CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/290451022022-05-17T09:00:00Z |
| spellingShingle | Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country Mohamad Y. Khatib (11659459) Biomedical and clinical sciences Clinical sciences Health sciences Epidemiology Public health COVID-19 Intensive Care Unit (ICU) Mortality predictors Case fatality rate (CFR) Logistic regression Chronic kidney disease |
| status_str | publishedVersion |
| title | Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country |
| title_full | Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country |
| title_fullStr | Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country |
| title_full_unstemmed | Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country |
| title_short | Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country |
| title_sort | Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country |
| topic | Biomedical and clinical sciences Clinical sciences Health sciences Epidemiology Public health COVID-19 Intensive Care Unit (ICU) Mortality predictors Case fatality rate (CFR) Logistic regression Chronic kidney disease |