Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1590/2175-8239-JBN-2020-0144 http://scihub22266oqcxt.onion/10.1590/2175-8239-JBN-2020-0144 33570081!8428632!33570081     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33570081&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       J+Bras+Nefrol 2021 ; 43 (3): 349-358 Nephropedia Template TP {{tp|p=33570081|t=2021. Acute kidney injury in patients with Covid-19 in a Brazilian ICU: incidence, predictors and in-hospital mortality |pdf=|usr=}}{{33570081}} gab.com Text Acute kidney injury in patients with Covid-19 in a Brazilian ICU: incidence, predictors and in-hospital mortality JO: J Bras Nefrol http://www.kidney.de/pget.php?&tw=1&pmid=33570081 #FOAvip 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. Twit Text FOAVip Acute kidney injury in patients with Covid-19 in a Brazilian ICU: incidence, predictors and in-hospital mortality ????J Bras Nefrol http://www.kidney.de/pget.php?&tw=1&pmid=33570081 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33570081 #FOAvip English Wikipedia <ref>{{Cite pmid|33570081}}</ref> Acute kidney injury in patients with Covid-19 in a Brazilian ICU: incidence, predictors and in-hospital mortality #MMPMID33570081 Costa RLD; Soria TC; Salles EF; Gerecht AV; Corvisier MF; Menezes MAM; Avila CDS; Silva ECF; Pereira SRN; Simvoulidis LFN J Bras Nefrol 2021[Jul]; 43 (3): 349-358 PMID33570081show ga 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. |*Acute Kidney Injury/epidemiology[MESH] |*COVID-19[MESH] |Brazil/epidemiology[MESH] |Hospital Mortality[MESH] |Humans[MESH] |Incidence[MESH] |Intensive Care Units[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH]Acute kidney injury in patients with Covid-19 in a Brazilian ICU: inci(epmc).pdf DeepDyve Pubget Overpricing