Acute kidney injury in patients with Covid-19 in a Brazilian ICU: incidence, predictors and in-hospital mortality
Abstract Introduction: There is little data in the literature on acute kidney injury (AKI) in Covid-19 cases, although relevant in clinical practice in the ICU, especially in Brazil. Our goal was to identify the incidence of AKI, predictive factors and impact on hospital mortality. Method: Retrospective cohort of patients with Covid-19 admitted to the ICU. AKI was defined according to KDIGO criteria. Data was collected from electronic medical records between March 17 and April 26. Results: Of the 102 patients, 55.9% progressed with AKI, and the majority (66.7%) was classified as stage 3. Multivariate logistic regression showed age (RC 1.101; 95% CI 1.026 - 1.181; p = 0.0070), estimated glomerular filtration rate - eGFR (RC 1.127; 95% CI 1.022 - 1.243; p = 0.0170) and hypertension (RC 3.212; 95% CI 1.065 - 9.690; p = 0.0380) as independent predictors of AKI. Twenty-three patients died. In the group without kidney injury, there were 8.9% deaths, while in the group with AKI, 33.3% of patients died (RR 5.125; 95% CI 1.598 - 16.431; p = 0.0060). The average survival, in days, was higher in the group without AKI. Cox multivariate analysis showed age (RR 1.054; 95% CI 1.014 - 1.095; p = 0.0080) and severe acute respiratory distress syndrome (RR 8.953; 95% CI 1.128 - 71.048; p = 0.0380) as predictors of hospital mortality. Conclusion: We found a high incidence of AKI; and as predictive factors for its occurrence: age, eGFR and hypertension. AKI was associated with higher hospital mortality..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:43 |
|---|---|
| Enthalten in: |
Brazilian Journal of Nephrology - 43(2021), 3, Seite 349-358 |
| Sprache: |
Englisch ; Portugiesisch |
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| Beteiligte Personen: |
Rafael Lessa da Costa [VerfasserIn] |
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| Links: |
doi.org [kostenfrei] |
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| Themen: |
Acute Kidney Injury |
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| doi: |
10.1590/2175-8239-jbn-2020-0144 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
DOAJ011207310 |
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| 520 | |a Abstract Introduction: There is little data in the literature on acute kidney injury (AKI) in Covid-19 cases, although relevant in clinical practice in the ICU, especially in Brazil. Our goal was to identify the incidence of AKI, predictive factors and impact on hospital mortality. Method: Retrospective cohort of patients with Covid-19 admitted to the ICU. AKI was defined according to KDIGO criteria. Data was collected from electronic medical records between March 17 and April 26. Results: Of the 102 patients, 55.9% progressed with AKI, and the majority (66.7%) was classified as stage 3. Multivariate logistic regression showed age (RC 1.101; 95% CI 1.026 - 1.181; p = 0.0070), estimated glomerular filtration rate - eGFR (RC 1.127; 95% CI 1.022 - 1.243; p = 0.0170) and hypertension (RC 3.212; 95% CI 1.065 - 9.690; p = 0.0380) as independent predictors of AKI. Twenty-three patients died. In the group without kidney injury, there were 8.9% deaths, while in the group with AKI, 33.3% of patients died (RR 5.125; 95% CI 1.598 - 16.431; p = 0.0060). The average survival, in days, was higher in the group without AKI. Cox multivariate analysis showed age (RR 1.054; 95% CI 1.014 - 1.095; p = 0.0080) and severe acute respiratory distress syndrome (RR 8.953; 95% CI 1.128 - 71.048; p = 0.0380) as predictors of hospital mortality. Conclusion: We found a high incidence of AKI; and as predictive factors for its occurrence: age, eGFR and hypertension. AKI was associated with higher hospital mortality. | ||
| 650 | 4 | |a Acute Kidney Injury | |
| 650 | 4 | |a Coronavirus Infections | |
| 650 | 4 | |a Covid-19 | |
| 650 | 4 | |a Betacoronavirus | |
| 650 | 4 | |a SARS-CoV-2 | |
| 650 | 4 | |a Intensive Care Units | |
| 650 | 4 | |a Mortality | |
| 653 | 0 | |a Diseases of the genitourinary system. Urology | |
| 700 | 0 | |a Taíza Corrêa Sória |e verfasserin |4 aut | |
| 700 | 0 | |a Eliene Ferreira Salles |e verfasserin |4 aut | |
| 700 | 0 | |a Ana Venâncio Gerecht |e verfasserin |4 aut | |
| 700 | 0 | |a Maurício Faria Corvisier |e verfasserin |4 aut | |
| 700 | 0 | |a Márcia Adélia de Magalhães Menezes |e verfasserin |4 aut | |
| 700 | 0 | |a Carla da Silveira Ávila |e verfasserin |4 aut | |
| 700 | 0 | |a Eduardo Costa de Freitas Silva |e verfasserin |4 aut | |
| 700 | 0 | |a Sara Regina Neto Pereira |e verfasserin |4 aut | |
| 700 | 0 | |a Luiz Fernando Nogueira Simvoulidis |e verfasserin |4 aut | |
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