Different incidences of acute kidney injury (AKI) and outcomes in COVID‐19 patients with and without non‐azithromycin antibiotics: A retrospective study

Movahed, Seyed Majid Mousavi; Akhavizadegan, Hamed; Dolatkhani, Fatemeh; Nejadghaderi, Seyed Aria; Aghajani, Faezeh; Gangi, Monireh Faghir; Ghazi, Zahra; Ghasemi, Hoomaan

doi:10.1002/jmv.26992

Cited by 14 publications

(9 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We first identified factors associated with AKI development. When considering Covid19 specific therapy, we found LPV/r and dexamethasone to be respectively positively and negatively related to AKI development, in accordance with other groups[33–37]. We also reported well described AKI risk factors, such as diabetes mellitus, use of norepinephrine and baseline eGFR[38,39].…”

Section: Discussionsupporting

confidence: 88%

“…Patients from clusters 1 and 2 also showed a distinct metabolic profile compared to cluster 3, expressing the impaired metabolism profile at a lower rate (22% [19-24] versus 29% [23-33] p=0.005, Figure 3d ). Among clusters 1 and 2, the expression of isolated hyperglycaemia was also higher in cluster 2 (13% [10-16] versus 25% [11-35], p=0.009, Figure 3d ).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Unsupervised clustering reveals phenotypes of AKI in ICU Covid19 patients

Sangla

Marchi

Assouline

et al. 2022

Preprint

View full text Add to dashboard Cite

Background: Acute Kidney Injury (AKI) is a very frequent condition, occurring in about one in three patients admitted to an intensive care unit (ICU). AKI is a syndrome defined as a sudden decrease in glomerular filtration rate. However, this unified definition does not reflect the various mechanisms involved in AKI pathophysiology, each with its own characteristics and sensitivity to therapy. In this study, we aimed at developing an innovative machine learning based method able to subphenotype AKI according to its pattern of risk factors. Methods: We adopted a three-step pipeline of analyses. Firstly, we looked for factors associated with AKI using a generalized additive model. Secondly, we calculated the importance of each identified AKI related factor in the estimated AKI risk to find the main risk factor for AKI, at the single patient level. Lastly, we clusterized AKI patients according to their profile of risk factors and compared the clinical characteristics and outcome of every cluster. We applied this method to a cohort of severe Covid19 patients hospitalized in the ICU of Geneva University Hospitals. Results: Among the 250 patients analyzed, we found ten factors associated with AKI development. Using the individual expression of these factors, we identified three groups of AKI patients, based on the use of Lopinavir/Ritonavir, a prior history of diabetes mellitus and baseline eGFR and ventilation. The three clusters expressed distinct characteristic in terms of AKI severity and recovery, metabolic patterns and ICU mortality. Conclusion: We propose here a new method to phenotype AKI patients according to their most important individual risk factors for AKI development. When applied to an ICU cohort of Covid19 patients, we were able to differentiate three groups of patients. Each expressed specific AKI characteristics and outcomes, which probably reflects a distinct pathophysiology.

show abstract

Section: Discussionsupporting

confidence: 88%

Section: Resultsmentioning

confidence: 99%

Unsupervised clustering reveals phenotypes of AKI in ICU Covid19 patients

Sangla

Marchi

Assouline

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…We identified the data by searching PubMed and references from relevant articles using the search terms "Coronavirus Disease 2019", "COVID-19", "SARS-CoV-2", "kidney disease", "acute kidney injury", "AKI", "risk factors", "gender", "clinical outcomes", and "Clinical Characteristics". We found that the SARS-CoV-2 infection rate in males is higher than that in females, and the incidence of AKI in males is also higher than that in females in most studies (Figures 1, 2) (Cheng et al, 2020b;Fisher et al, 2020;Hirsch et al, 2020;Kolhe et al, 2020;Pei et al, 2020;Sang et al, 2020;Zahid et al, 2020;Basalely et al, 2021;Chan et al, 2021;Cheng et al, 2021;Costa et al, 2021;Dai et al, 2021;Diebold et al, 2021;Gasparini et al, 2021;Martinez-Rueda et al, 2021;Mousavi Movahed et al, 2021;Ng et al, 2021;Ozturk et al, 2021;Russo et al, 2021;Xu J. et al, 2021;Yildirim et al, 2021;Zamoner et al, 2021). In these studies, all of the patients with COVID-19 had new-onset AKI during hospitalization.…”

Section: Gender Differences In the Incidence Of Aki Among Patients Wi...mentioning

confidence: 75%

“…In addition to the higher proportion of males in AKI patients, the incidence of AKI in male patients with COVID-19 is also higher than that in female patients ( Figure 2 ) ( Cheng et al., 2020b ; Fisher et al., 2020 ; Hirsch et al., 2020 ; Kolhe et al., 2020 ; Pei et al., 2020 ; Sang et al., 2020 ; Zahid et al., 2020 ; Basalely et al., 2021 ; Chan et al., 2021 ; Cheng et al., 2021 ; Costa et al., 2021 ; Dai et al., 2021 ; Diebold et al., 2021 ; Gasparini et al., 2021 ; Martinez-Rueda et al., 2021 ; Mousavi Movahed et al., 2021 ; Ng et al., 2021 ; Ozturk et al., 2021 ; Russo et al., 2021 ; Xu H. et al., 2021 ; Xu J. et al., 2021 ; Yildirim et al., 2021 ; Zamoner et al., 2021 ). According to the previously mentioned mechanism of SARS-CoV-2 directly invading kidney host cells to cause AKI, ACE2 and TMPRSS2 are expressed in proximal convoluted tubule cells and podocytes ( He et al., 2020 ).…”

Section: Gender Differences In the Incidence Of Aki Among Patients With Covid-19mentioning

confidence: 96%

Gender and Ethnic Disparities of Acute Kidney Injury in COVID-19 Infected Patients: A Literature Review

Liu

et al. 2022

Front. Cell. Infect. Microbiol.

View full text Add to dashboard Cite

Coronavirus disease 2019(COVID-19) has become a public health emergency of concern worldwide. COVID-19 is a new infectious disease arising from Coronavirus 2 (SARS-CoV-2). It has a strong transmission capacity and can cause severe and even fatal respiratory diseases. It can also affect other organs such as the heart, kidneys and digestive tract. Clinical evidence indicates that kidney injury is a common complication of COVID-19, and acute kidney injury (AKI) may even occur in severely ill patients. Data from China and the United States showed that male sex, Black race, the elderly, chronic kidney disease, diabetes, hypertension, cardiovascular disease, and higher body mass index are associated with COVID-19‐induced AKI. In this review, we found gender and ethnic differences in the occurrence and development of AKI in patients with COVID-19 through literature search and analysis. By summarizing the mechanism of gender and ethnic differences in AKI among patients with COVID-19, we found that male and Black race have more progress to COVID-19-induced AKI than their counterparts.

show abstract

“…The remaining studies were from Brazil, Oman, Congo, Turkey, UK, Colombia, Kosovo, and Indonesia. Detailed data on the characteristics of the conclusive studies are given in Table S1 [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ].…”

Section: Resultsmentioning

confidence: 99%

Antibiotics Prescribing in Intensive Care Settings during the COVID-19 Era: A Systematic Review

Abu-Rub

Abdelrahman

Johar³

et al. 2021

Antibiotics

View full text Add to dashboard Cite

The prevalence of patients admitted to intensive care units (ICUs) with SARS-CoV-2 infection who were prescribed antibiotics is undetermined and might contribute to the increased global antibiotic resistance. This systematic review evaluates the prevalence of antibiotic prescribing in patients admitted to ICUs with SARS-CoV-2 infection using PRISMA guidelines. We searched and scrutinized results from PubMed and ScienceDirect databases for published literature restricted to the English language up to 11 May 2021. In addition, we included observational studies of humans with laboratory-confirmed SARS-CoV-2 infection, clinical characteristics, and antibiotics prescribed for ICU patients with SARS-CoV-2 infections. A total of 361 studies were identified, but only 38 were included in the final analysis. Antibiotic prescribing data were available from 2715 patients, of which prevalence of 71% was reported in old age patients with a mean age of 62.7 years. From the reported studies, third generation cephalosporin had the highest frequency amongst reviewed studies (36.8%) followed by azithromycin (34.2%). The estimated bacterial infection in 12 reported studies was 30.8% produced by 15 different bacterial species, and S. aureus recorded the highest bacterial infection (75%). The fundamental outcomes were the prevalence of ICU COVID-19 patients prescribed antibiotics stratified by age, type of antibiotics prescribed, and the presence of co-infections and comorbidities. In conclusion, more than half of ICU patients with SARS-CoV-2 infection received antibiotics, and prescribing is significantly higher than the estimated frequency of identified bacterial co-infection.

show abstract

Different incidences of acute kidney injury (AKI) and outcomes in COVID‐19 patients with and without non‐azithromycin antibiotics: A retrospective study

Cited by 14 publications

References 50 publications

Unsupervised clustering reveals phenotypes of AKI in ICU Covid19 patients

Unsupervised clustering reveals phenotypes of AKI in ICU Covid19 patients

Gender and Ethnic Disparities of Acute Kidney Injury in COVID-19 Infected Patients: A Literature Review

Antibiotics Prescribing in Intensive Care Settings during the COVID-19 Era: A Systematic Review

Contact Info

Product

Resources

About