Kidney Injury In COVID-19 Patients Research Articles

Acute kidney injury in adult patients with COVID-19: an integrative review

Acute kidney injury in adult patients with COVID-19: an integrative review

The Effect of Positive Pressure Ventilation on Acute Kidney Injury in COVID-19 Patients with Acute Respiratory Distress Syndrome: An Observational Study

Introduction: Acute kidney injury (AKI) is frequent in critically ill COVID-19 patients and is associated with a higher mortality risk. By increasing intrathoracic pressure, positive pressure ventilation (PPV) may reduce renal perfusion pressure by reducing venous return to the heart or by increasing renal venous congestion. This study’s aim was to evaluate the association between AKI and haemodynamic and ventilatory parameters in COVID-19 patients with ARDS. Methods: This is a single-centre retrospective observational study. Consecutive patients diagnosed with COVID-19 who met ARDS criteria and required invasive mechanical ventilation were enrolled. The relationship between respiratory and haemodynamic parameters influenced by PPV and AKI development was evaluated. AKI was defined according to KDIGO criteria. AKI recovery was evaluated a month after ICU admission and patients were classified as “recovered,” if serum creatinine (sCr) value returned to baseline, or as having “acute kidney disease” (AKD), if criteria for AKI stage 1 or greater persisted. The 6-month all-cause mortality was collected. Results: A total of 144 patients were included in the analysis. AKI occurred in 69 (48%) patients and 26 (18%) required renal replacement therapy. In a multivariate logistic regression analysis, sex, hypertension, cumulative dose of furosemide, fluid balance, and plateau pressure were independently associated with AKI. Mortality at 6 months was 50% in the AKI group and 32% in the non-AKI group (p = 0.03). Among 36 patients who developed AKI and were discharged alive from the hospital, 56% had a full renal recovery after a month, while 14%, 6%, and 14% were classified as having an AKD of stage 0, 2, and 3, respectively. Conclusions: In our cohort, AKI was independently associated with multiple variables, including high plateau pressure, suggesting a possible role of PPV on AKI development. Further studies are needed to clarify the role of mechanical ventilation on renal function.

Associated Factors and Outcomes of Acute Kidney Injury in COVID-19 Patients in Kenya.

Corona Virus Disease 2019 (COVID-19), an infection caused by the SARS-CoV-2 virus, has been the largest global pandemic since the turn of the 21st century. With emerging research on this novel virus, studies from the African continent have been few. Corona Virus Disease 2019 has been shown to affect various organs including the lungs, gut, nervous system, and the kidneys. Acute kidney injury (AKI) is an independent risk factor for mortality and increases the health care burden for patients with persistent kidney dysfunction and maintenance dialysis. Sub-Saharan Africa has a high number of poorly controlled chronic illnesses, economic inequalities, and health system strains that may contribute to higher cases of kidney injury in patients with COVID-19 disease. The objective of this study was to determine the incidence, associated factors, and outcomes of AKI in patients hospitalized with COVID-19 in Kenya. This retrospective cohort study included 1366 patients with confirmed COVID-19 illness hospitalized at the Aga Khan University Hospital in Nairobi, Kenya, between April 1, 2020 and October 31, 2021. Data were collected on age, sex, the severity of COVID-19 illness, existing pregnancy and comorbid conditions including human immunodeficiency virus (HIV), diabetes mellitus, hypertension, and functioning kidney transplant patients. Univariate analysis was carried out to determine the association of clinical and demographic factors with AKI. To determine independent associations with AKI incidence, a logistic regression model was used and the relationship was reported as odds ratios (ORs) with a 95% confidence interval (CI). The outcomes of AKI including the in-hospital mortality rate, renal recovery rate at hospital discharge, and the duration of hospital stay were reported and stratified based on the stage of AKI. The median age of study patients was 56 years (interquartile range [IQR] = 45-68 years), with 67% of them being male (914 of 1366). The AKI incidence rate was 21.6% (n = 295). Patients with AKI were older (median age = 64 years vs 54 years; P < .001), majority male (79% of men with AKI vs 63.6% without AKI; P < .001), and likely to have a critical COVID-19 (OR = 8.03, 95% CI = 5.56-11.60; P < .001). Diabetes and hypertension, with an adjusted OR of 1.75 (95% CI = 1.34-2.30; P < .001) and 1.68 (95% CI = 1.27-2.23; P < .001), respectively, were associated with AKI occurrence in COVID-19. Human immunodeficiency virus, pregnancy, and a history of renal transplant were not significantly associated with increased AKI risk in this study. Patients with AKI had significantly higher odds of mortality, and this effect was proportional to the stage of AKI (OR = 11.35, 95% CI = 7.56-17.03; P < .001). 95% of patients with stage 1 AKI had complete renal recovery vs 33% of patients with stage 3 AKI. Of the patients with stage 3 AKI (n = 64), 10 underwent hemodialysis, with 1 recovery in renal function and 3 patients requiring ongoing dialysis after discharge. This study was conducted at a single private tertiary-level health care facility in Kenya and only up to the time of hospital discharge. It is one of the first large studies from sub-Saharan Africa looking at the associated factors and outcomes of AKI in COVID-19 and forms a foundation for further analysis on the long-term consequences of COVID-19 on the kidneys. A major limitation of the study is the lack of baseline pre-admission creatinine values for most patients; thus, the impact of chronic kidney disease/baseline creatinine values on the incidence of AKI could not be established.

Complications of Acute Kidney Injury in COVID-19 Patients: A Systematic Review

Introduction: Acute Kidney Injury has been associated with a higher mortality rate among hospitalized patients with Coronavirus disease.The present review aimed to evaluate the association of COVID-19 with acute kidney injury. The study also aimed to assess the symptoms, complications, and treatment performed for the successful management of acute kidney injury patients with COVID-19. Methodology: The literature review search was conducted by using PubMed, Medline, and another database of medical journals for identifying, reviewing, and evaluating the published articles with cases of COVID-19 and acute kidney injury complications. Results: The systematic review of 25 studies found that patients with COVID-19 had a high prevalence of acute kidney injury due to risk factors, such as hypertension, diabetes, cardiovascular disease, and the overuse of diuretics. The average age of acute kidney injury occurrence in patients was from 54-70 years of age. From 25 studies, a total of 27922 patients, 29.9%, were detected with acute kidney injury with the pathological cause of acute tubular necrosis and focal segmental glomerulosclerosis. Conclusion: The current systematic review indicates a high prevalence of acute kidney injury among COVID-19 patients with hospitalisation. Patients with COVID-19 pose a risk for the development of acute kidney injury due to chronic infection, high use of corticosteroids, and systemic hemodynamic instability, which results in acute tubular injury in hospitalised COVID-19 patients. A majority of the patients were seen with undiagnosed acute kidney injury. Early detection in such comorbid cases can resolve renal complications and improve the therapeutic outcome in COVID-19 patients.

COVID-Net Biochem: an explainability-driven framework to building machine learning models for predicting survival and kidney injury of COVID-19 patients from clinical and biochemistry data

Since the World Health Organization declared COVID-19 a pandemic in 2020, the global community has faced ongoing challenges in controlling and mitigating the transmission of the SARS-CoV-2 virus, as well as its evolving subvariants and recombinants. A significant challenge during the pandemic has not only been the accurate detection of positive cases but also the efficient prediction of risks associated with complications and patient survival probabilities. These tasks entail considerable clinical resource allocation and attention. In this study, we introduce COVID-Net Biochem, a versatile and explainable framework for constructing machine learning models. We apply this framework to predict COVID-19 patient survival and the likelihood of developing Acute Kidney Injury during hospitalization, utilizing clinical and biochemical data in a transparent, systematic approach. The proposed approach advances machine learning model design by seamlessly integrating domain expertise with explainability tools, enabling model decisions to be based on key biomarkers. This fosters a more transparent and interpretable decision-making process made by machines specifically for medical applications. More specifically, the framework comprises two phases: In the first phase, referred to as the “clinician-guided design” phase, the dataset is preprocessed using explainable AI and domain expert input. To better demonstrate this phase, we prepared a benchmark dataset of carefully curated clinical and biochemical markers based on clinician assessments for survival and kidney injury prediction in COVID-19 patients. This dataset was selected from a patient cohort of 1366 individuals at Stony Brook University. Moreover, we designed and trained a diverse collection of machine learning models, encompassing gradient-based boosting tree architectures and deep transformer architectures, specifically for survival and kidney injury prediction based on the selected markers. In the second phase, called the “explainability-driven design refinement” phase, the proposed framework employs explainability methods to not only gain a deeper understanding of each model’s decision-making process but also to identify the overall impact of individual clinical and biochemical markers for bias identification. In this context, we used the models constructed in the previous phase for the prediction task and analyzed the explainability outcomes alongside a clinician with over 8 years of experience to gain a deeper understanding of the clinical validity of the decisions made. The explainability-driven insights obtained, in conjunction with the associated clinical feedback, are then utilized to guide and refine the training policies and architectural design iteratively. This process aims to enhance not only the prediction performance but also the clinical validity and trustworthiness of the final machine learning models. Employing the proposed explainability-driven framework, we attained 93.55% accuracy in survival prediction and 88.05% accuracy in predicting kidney injury complications. The models have been made available through an open-source platform. Although not a production-ready solution, this study aims to serve as a catalyst for clinical scientists, machine learning researchers, and citizen scientists to develop innovative and trustworthy clinical decision support solutions, ultimately assisting clinicians worldwide in managing pandemic outcomes.

The Prediction Score of Acute Kidney Injury in Patients with Severe COVID-19 Infection

Background: The incidence and risk factors for acute kidney injury in COVID-19 patients vary across studies, and predicting models for AKI are limited. This study aimed to identify the risk factors for AKI in severe COVID-19 infection and develop a predictive model for AKI. Method: Data were collected from patients admitted to the ICU at Thammasat University Hospital in Thailand with PCR-confirmed COVID-19 between 1 January 2021, and 30 June 2022. Results: Among the 215 severe-COVID-19-infected patients, 102 (47.4%) experienced AKI. Of these, 45 (44.1%), 29 (28.4%), and 28 (27.4%) patients were classified as AKI stage 1, 2, and 3, respectively. AKI was associated with 30-day mortality. Multivariate logistic regression analysis revealed that prior diuretic use (odds ratio [OR] 7.87, 95% confidence interval [CI] 1.98–31.3; p = 0.003), use of a mechanical ventilator (MV) (OR 5.34, 95%CI 1.76–16.18; p = 0.003), and an APACHE II score ≥ 12 (OR 1.14, 95%CI 1.05–1.24; p = 0.002) were independent risk factors for AKI. A predictive model for AKI demonstrated good performance (AUROC 0.814, 95%CI 0.757–0.870). Conclusions: Our study identified risk factors for AKI in severe COVID-19 infection, including prior diuretic use, an APACHE II score ≥ 12, and the use of a MV. The predictive tool exhibited good performance for predicting AKI.

The association between vitamin D3 deficiency and acute kidney injury in COVID-19 patients

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)

Role of increased neutrophil extracellular trap formation on acute kidney injury in COVID-19 patients.

A strong association between elevated neutrophil extracellular trap (NET) levels and poor clinical outcomes in patients with coronavirus infection 2019 (COVID-19) has been reported. However, while acute kidney injury (AKI) is a common complication of COVID-19, the role of NETs in COVID-19-associated AKI is unclear. We investigated the association between elevated NETs and AKI and the prognostic role of NETs in COVID-19 patients. Two representative markers of NETs, circulating nucleosomes and myeloperoxidase-DNA, were measured in 115 hospitalized patients. Serum levels of interleukin [IL]-6, monocyte chemotactic protein-1 [MCP-1], plasma von Willebrand factor (vWF) and urinary biomarkers of renal tubular damage (β2-microglobulin [β2M] and kidney injury molecule 1 [KIM-1]) were measured. AKI was found in 43 patients (37.4%), and pre-existing chronic kidney disease (CKD) was a strong risk factor for AKI. Higher circulating NET levels were a significant predictor of increased risk of initial ICU admission, in-hospital mortality (adjusted HR 3.21, 95% CI 1.08-9.19) and AKI (OR 3.67, 95% CI 1.30-10.41), independent of age, diabetes, pre-existing CKD and IL-6 levels. There were strong correlations between circulating nucleosome levels and urinary KIM-1/creatinine (r=0.368, p=0.001) and β2M (r=0.218, p=0.049) levels. NETs were also strongly closely associated with serum vWF (r = 0.356, p<0.001), but not with IL-6 or MCP-1 levels. Elevated NETs were closely associated with AKI, which was a strong predictor of mortality. The close association between NETs and vWF may suggest a role for NETs in COVID-19-associated vasculopathy leading to AKI.

Clinical Characteristics of Acute Kidney Injury in Covid-19 Patients

Background: Coronavirus Disease 2019 (COVID-19) is one of the infectious diseases that exist in Indonesia. Not only infects the lungs, but this virus can also infect other organs such as the kidneys. In addition, the process of viral infection causes cell hypermetabolism, which can increase the workload of the kidneys in excreting metabolic waste. In the end, the damage caused by the virus can cause Acute Kidney Injury (AKI). It is necessary to know the prevalence and characteristics of this event. Purposes: This study aims to provide an overview of AKI's prevalence and clinical features in COVID-19 patients. Methods: This was a descriptive study that used patient medical records for the period April-September 2021. The univariate analysis data showed a characteristic frequency distribution of age, gender, comorbidity, hospitalization duration, and urea creatinine rate. Results: The incoming samples based on the inclusion and exclusion criteria were 44 samples. In COVID-19 patients, complications of AKI were found in adults, as much as 68.2% of both men and women had a percentage of 50%, the most common comorbid was hypertension 30.8% with a hospitalization duration of 1-10 days 43.2% and an average increase in urea 79.68 mg/dL and creatinine average 2,859 mg/dL. Conclusion: Based on patient characteristics, the results showed that more COVID-19 patients with acute kidney injury complications occurred in adult patients, with no difference in prevalence between males and females, with comorbid hypertension and length of hospitalization less than ten days.

Acute Kidney Injury Among Admitted COVID-19 Patients in Addis Ababa, Ethiopia.

Although diffuse alveolar damage and respiratory failure are the most common symptoms of coronavirus disease 2019, other organ involvement, such as the kidney, has been reported. The incidence of acute kidney injury in COVID-19 patients has been reported to vary greatly. In this study, we look at the magnitude and risk factors for acute kidney injury in COVID-19 patients in Ethiopia, a developing country. A hospital-based retrospective cross-sectional study design was conducted among admitted COVID-19 patients at Eka Kotebe general hospital and Saint Peter COVID-19 treatment center by reviewing data from September 2020 to September 2021. A random sampling technique with proportional size allocation was used to select a total sample of 402 patients (225 from Eka Kotebe and 177 from St. Peter). Secondary data was collected from patient medical records using a standard, pre-tested data collection checklist using the Kobo toolbox, which was then exported to SPSS version 25.0 for analysis. The association between dependent and independent variables was analyzed using binary logistic regression. A statistical significance test was declared at a p value of<=0.05 with a 95% confidence interval. A total of 402 patient charts were reviewed, and the proportion of patients with acute kidney injury was found to be 18.9%. After adjusting for potential confounders, age<=35 years (AOR = 0.23, 95% CI = 0.07-0.72), female gender (AOR = 0.51, 95% CI = 0.28-0.94), and isolation type ICU (AOR = 5.11, 95% CI = 1.44-18.06) were significantly associated with acute kidney injury. Acute kidney injury is a common complication in hospitalized COVID-19 patients. The prevalence of acute kidney injury in this study was 18.9%. Age, gender, and type of isolation were the factors that had a significant association with acute kidney injury. Clinicians and other concerned parties should provide more care to ICU patients and COVID-19 patients who are older.

Outcomes, Healthcare Resource Utilization, and Costs of Overall, Community-Acquired, and Hospital-Acquired Acute Kidney Injury in COVID-19 Patients

Background: In hospitalized patients with COVID-19, acute kidney injury (AKI) is associated with higher mortality, but data are lacking on healthcare resource utilization (HRU) and costs related to AKI, community-acquired AKI (CA-AKI), and hospital-acquired AKI (HA-AKI). Objectives: To quantify the burden of AKI, CA-AKI, and HA-AKI among inpatients with COVID-19. Methods: This retrospective cohort study included inpatients with COVID-19 discharged from US hospitals in the Premier PINC AI™ Healthcare Database April 1–October 31, 2020, categorized as AKI, CA-AKI, HA-AKI, or no AKI by ICD-10-CM diagnosis codes. Outcomes were assessed during index (initial) hospitalization and 30 days postdischarge. Results: Among 208 583 COVID-19 inpatients, 30%, 25%, and 5% had AKI, CA-AKI, and HA-AKI, of whom 10%, 7%, and 23% received dialysis, respectively. Excess mortality, HRU, and costs were greater for HA-AKI than CA-AKI. In adjusted models, for patients with AKI vs no AKI and HA-AKI vs CA-AKI, odds ratios (ORs) (95% CI) were 3.70 (3.61-3.79) and 4.11 (3.92-4.31) for intensive care unit use and 3.52 (3.41-3.63) and 2.64 (2.52-2.78) for in-hospital mortality; mean length of stay (LOS) differences and LOS ratios (95% CI) were 1.8 days and 1.24 (1.23-1.25) and 5.1 days and 1.57 (1.54-1.59); and mean cost differences and cost ratios were $7163 and 1.35 (1.34-1.36) and $19 127 and 1.78 (1.75-1.81) (all P &lt; .001). During the 30 days postdischarge, readmission LOS was ≥6% longer for AKI vs no AKI and HA-AKI vs CA-AKI; outpatient costs were ≥41% higher for HA-AKI vs CA-AKI or no AKI. Only 30-day new dialysis (among patients without index hospitalization dialysis) had similar odds for HA-AKI vs CA-AKI (2.37-2.8 times higher for AKI, HA-AKI, or CA-AKI vs no AKI). Discussion: Among inpatients with COVID-19, HA-AKI had higher excess mortality, HRU, and costs than CA-AKI. Other studies suggest that interventions to prevent HA-AKI could decrease excess morbidity, HRU, and costs among inpatients with COVID-19. Conclusions: In adjusted models among COVID-19 inpatients, AKI, especially HA-AKI, was associated with significantly higher mortality, HRU, and costs during index admission, and higher dialysis and longer readmission LOS during the 30 days postdischarge. These findings support implementation of interventions to prevent HA-AKI in COVID-19 patients.

Outcomes, Healthcare Resource Utilization, and Costs of Overall, Community-Acquired, and Hospital-Acquired Acute Kidney Injury in COVID-19 Patients.

Background: In hospitalized patients with COVID-19, acute kidney injury (AKI) is associated with higher mortality, but data are lacking on healthcare resource utilization (HRU) and costs related to AKI, community-acquired AKI (CA-AKI), and hospital-acquired AKI (HA-AKI). Objectives: To quantify the burden of AKI, CA-AKI, and HA-AKI among inpatients with COVID-19. Methods: This retrospective cohort study included inpatients with COVID-19 discharged from US hospitals in the Premier PINC AI™ Healthcare Database April 1-October 31, 2020, categorized as AKI, CA-AKI, HA-AKI, or no AKI by ICD-10-CM diagnosis codes. Outcomes were assessed during index (initial) hospitalization and 30 days postdischarge. Results: Among 208 583 COVID-19 inpatients, 30%, 25%, and 5% had AKI, CA-AKI, and HA-AKI, of whom 10%, 7%, and 23% received dialysis, respectively. Excess mortality, HRU, and costs were greater for HA-AKI than CA-AKI. In adjusted models, for patients with AKI vs no AKI and HA-AKI vs CA-AKI, odds ratios (ORs) (95% CI) were 3.70 (3.61-3.79) and 4.11 (3.92-4.31) for intensive care unit use and 3.52 (3.41-3.63) and 2.64 (2.52-2.78) for in-hospital mortality; mean length of stay (LOS) differences and LOS ratios (95% CI) were 1.8 days and 1.24 (1.23-1.25) and 5.1 days and 1.57 (1.54-1.59); and mean cost differences and cost ratios were $7163 and 1.35 (1.34-1.36) and $19 127 and 1.78 (1.75-1.81) (all P < .001). During the 30 days postdischarge, readmission LOS was ≥6% longer for AKI vs no AKI and HA-AKI vs CA-AKI; outpatient costs were ≥41% higher for HA-AKI vs CA-AKI or no AKI. Only 30-day new dialysis (among patients without index hospitalization dialysis) had similar odds for HA-AKI vs CA-AKI (2.37-2.8 times higher for AKI, HA-AKI, or CA-AKI vs no AKI). Discussion: Among inpatients with COVID-19, HA-AKI had higher excess mortality, HRU, and costs than CA-AKI. Other studies suggest that interventions to prevent HA-AKI could decrease excess morbidity, HRU, and costs among inpatients with COVID-19. Conclusions: In adjusted models among COVID-19 inpatients, AKI, especially HA-AKI, was associated with significantly higher mortality, HRU, and costs during index admission, and higher dialysis and longer readmission LOS during the 30 days postdischarge. These findings support implementation of interventions to prevent HA-AKI in COVID-19 patients.

Outcomes, Healthcare Resource Utilization, and Costs of Overall, Community-Acquired, and Hospital-Acquired Acute Kidney Injury in COVID-19 Patients

Background: In hospitalized patients with COVID-19, acute kidney injury (AKI) is associated with higher mortality, but data are lacking on healthcare resource utilization (HRU) and costs related to AKI, community-acquired AKI (CA-AKI), and hospital-acquired AKI (HA-AKI). Objectives: To quantify the burden of AKI, CA-AKI, and HA-AKI among inpatients with COVID-19. Methods: This retrospective cohort study included inpatients with COVID-19 discharged from US hospitals in the Premier PINC AI™ Healthcare Database April 1–October 31, 2020, categorized as AKI, CA-AKI, HA-AKI, or no AKI by ICD-10-CM diagnosis codes. Outcomes were assessed during index (initial) hospitalization and 30 days postdischarge. Results: Among 208 583 COVID-19 inpatients, 30%, 25%, and 5% had AKI, CA-AKI, and HA-AKI, of whom 10%, 7%, and 23% received dialysis, respectively. Excess mortality, HRU, and costs were greater for HA-AKI than CA-AKI. In adjusted models, for patients with AKI vs no AKI and HA-AKI vs CA-AKI, odds ratios (ORs) (95% CI) were 3.70 (3.61-3.79) and 4.11 (3.92-4.31) for intensive care unit use and 3.52 (3.41-3.63) and 2.64 (2.52-2.78) for in-hospital mortality; mean length of stay (LOS) differences and LOS ratios (95% CI) were 1.8 days and 1.24 (1.23-1.25) and 5.1 days and 1.57 (1.54-1.59); and mean cost differences and cost ratios were $7163 and 1.35 (1.34-1.36) and $19 127 and 1.78 (1.75-1.81) (all P &lt; .001). During the 30 days postdischarge, readmission LOS was ≥6% longer for AKI vs no AKI and HA-AKI vs CA-AKI; outpatient costs were ≥41% higher for HA-AKI vs CA-AKI or no AKI. Only 30-day new dialysis (among patients without index hospitalization dialysis) had similar odds for HA-AKI vs CA-AKI (2.37-2.8 times higher for AKI, HA-AKI, or CA-AKI vs no AKI). Discussion: Among inpatients with COVID-19, HA-AKI had higher excess mortality, HRU, and costs than CA-AKI. Other studies suggest that interventions to prevent HA-AKI could decrease excess morbidity, HRU, and costs among inpatients with COVID-19. Conclusions: In adjusted models among COVID-19 inpatients, AKI, especially HA-AKI, was associated with significantly higher mortality, HRU, and costs during index admission, and higher dialysis and longer readmission LOS during the 30 days postdischarge. These findings support implementation of interventions to prevent HA-AKI in COVID-19 patients.

The association between vitamin D3 deficiency and acute kidney injury in COVID-19 patients

Introduction: Vitamin D deficiency is a common clinical finding in the general population and hospitalized patients, including patients in the intensive care unit (ICU). Acute kidney injury (AKI) occurs in more than 50% in ICU admitted patients. Objectives: There are few studies regarding AKI in COVID-19 patients, therefore we investigated the relationship between vitamin D3 deficiency and the occurrence of AKI in COVID-19 patients. Patients and Methods: This cross-sectional study was conducted on 69 COVID-19 patients who were hospitalized in the ward for 12 months. Their serum vitamin D3 levels were measured in the first 24 hours of hospitalization in the ward. Patients were divided into three groups based on the serum levels of vitamin D3: &gt;50 ng/mL as normal, 20-50 ng/mL as insufficient and &lt;20 ng/mL as deficiency status. The patients were studied until the occurrence of acute renal injury or the occurrence of death. Results: Out of 69 hospitalized patients in the ward with COVID-19, there were 39 patients in group vitamin D3&lt;20 ng/mL, 21 patients in group vitamin D3 of 20-50ng/mL and 9 patients in group of vitamin D3&gt;50 ng/mL. The frequencies of AKI in groups of vitamin D3&lt;20 ng/mL, 20-50 ng/mL, and &gt;50 ng/mL were 46%, 28%, and 23%, respectively. A significant relationship was observed between AKI and our study groups (P=0.011). Furthermore, there was a significant association between our study groups and mortality (P=0.014), ICU admission (P=0.041) and hospital length of stay (P=0.017). In another division in patients with different levels of vitamin D3 in the presence or absence of AKI, there were significant associations between patients with vitamin D3&lt;20 ng/mL and the presence of AKI and also with mortality (P=0.042), ICU admission (P=0.024) and additionally with hospital length of stay (P=0.027). Conclusion: Our study showed significant association between vitamin D deficiency and AKI in ICU-admitted COVID-19 patients. Moreover, there were relationships between vitamin D deficiency and mortality, ICU admission and hospital length of stay. These results suggest the correction of vitamin D deficiency may be beneficial to reduce AKI in patient with COVID-19.

Acute kidney injury in COVID-19 patients. Experience of an Infectious Diseases Hospital in Mexico City

Acute kidney injury in COVID-19 patients. Experience of an Infectious Diseases Hospital in Mexico City

Acute Kidney Injury in COVID-19 Patients Admitted at a Tertiary Care Centre: A Descriptive Cross-sectional Study

Coronavirus disease can affect the renal system in various forms ranging from mild proteinuria to acute kidney injury, some even needing renal replacement therapy. This study aimed to find out the prevalence of acute kidney injury in patients admitted with COVID-19 at a tertiary care centre. This descriptive cross-sectional study was done in patients admitted in COVID-19 ward in our hospital from July 2021 to June 2022. Ethical approval was obtained from the Institutional Review Committee (Reference number: 066-077/078). The serum creatinine level was used for the diagnosis of acute kidney injury. Convenience sampling method was used. Point estimate and 95% Confidence Interval were calculated. Out of 80 patients with COVID-19, the prevalence of acute kidney injury was 25 (31.25%) (21.09-41.41, 95% Confidence Interval). The prevalence of acute kidney injury in COVID-19 patients was similar to other studies done in similar settings. acute kidney injury; COVID-19; Nepal.

Measurement of the serum level of Elabela for the early detection of acute kidney injury in hospitalized Iraqi COVID-19 patients

Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is caused coronavirus disease2019 (COVID-19) affecting people worldwide. The angiotensin converting enzyme2 (ACE2) represents areceptor of SARS-CoV-2 on the infected host cell. Apelin or its receptor agonists suppress the production ofangiotensin-converting enzyme (ACE) and angiotensin II (Ang-II) and is characterized by a protective effectagainst SARS-CoV-2.Objective: The study aims to assess the serum level of Elabela biomarker as an early detector for AcuteKidney Injury (AKI) in patients with COVID-19.Cases and Methods: This is a case-control study which included 45 hospitalized adult patients in multiplecenters (public hospitals) receiving COVID-19 cases in Baghdad. These cases had a positive real-time orreverse transcription polymerase chain reaction (RT-PCR) of nasal/oropharyngeal swabs. Excluded from thestudy were those with a negative PCR and comorbidities and 43 apparently healthy adult subjects as controls.The age range of the cases and controls was (20 to 60) yearsResult: There are no a statistically significant differences between the two groups in terms of age and genderdistribution. Statistically significant differences were found in terms of eGFR, S. Creatinine, D. dimer,NEU×103/µL, LYM×103/µL and ELA biomarker. Significant negative correlations were found betweenElabela with D. dimer and NEU×103/µL, and between eGFR with S. creatinine, D. Dimer, and NUT×103/µL.Conclusion: The Elabela biomarker can be used for the early detection of acute kidney injury in COVID-19patients.

A review of pathophysiology, mortality, risk factors and protective measures of acute kidney injury in COVID-19 patients with underlying kidney disease and kidney transplants recipients

Acute kidney injury (AKI) is the second prevalent organ damage among COVID-19 infected individuals, which mainly affects those with critical diseases or underlying kidney disorders. Emerging data have suggested that AKI is associated with adverse outcomes, severe COVID-19 disease, and high mortality. However, the true nature and pathophysiology of COVID-19-associated kidney injury, and its effect on patients with underlying kidney diseases and transplant recipients, still remains controversial. Accordingly, this review study aimed primarily to describe the history of AKI in COVID-19 infected patients and to achieve a robust understanding of the latest findings on the mechanism of the injury. Secondly, this systematic and precise review of the literature concerning the aspects of AKI in infected patients with chronic kidney disease and transplant recipients provided a comprehensive report of mortality in these individuals. Finally, the present research suggested the possible protective measures that physicians can take to prevent, control, and treat this condition. Our study paves the way for future works with a more robust methodology to better understand COVID-19-related kidney injury.

MO359: Acute Renal Failure in Covid-19 Patients in a Latin American Health Institution

Abstract BACKGROUND AND AIMS Acute renal failure in hospitalized patients for COVID-19 occurs in 3%–28% and is a poor prognostic factor. The mechanisms of renal involvement are not completely clarified. However, it has been evaluated that the presentation of renal failure increases adverse outcomes. METHOD Prospective observational study of all the cases that were admitted for COVID-19 between January and December 2021. Clinical and analytical data of kidney complications in patients with COVID-19 were collected. RESULTS A total of 306 patients with a mean age of 70.2 years, 75.1% men and with previous chronic kidney disease in 29.7% were analyzed. A total of 50.8% had severe pneumonia or acute respiratory distress syndrome and 22.9% required admission to the ICU. Proteinuria was registered in 77.6% and hematuria in 67.6%. A total of 20.9% of the patients required renal replacement therapy. Renal failure was of prerenal etiology in 59.2%, acute tubular necrosis in the context of sepsis in 23.5%, glomerular in 8.1% and due to tubular toxicity in 9.2%. The median stay was 15 days, and 31.7% died. Patients who developed kidney failure during admission had higher C-reactive protein, LDH, and D-dimer values, more severe lung involvement, more need for ICU admission, and greater need for renal replacement therapy. CONCLUSION Hypovolemia and dehydration are common causes of acute kidney injury in COVID-19 patients. Those who develop renal complications have a worse pulmonary, renal and systemic prognosis profile. We point out that monitoring an individualized management of blood volume can be decisive in preventing worse outcomes.

MO295: Acute Kidney Injury in COVID-19 Patients: Medium-Term Evolution of Renal Function

BACKGROUND AND AIMSAcute kidney injury (AKI) is a common complication among patients hospitalized with COVID-19. The incidence of AKI is estimated to be around 5%–80%, according to the series, but data on renal function evolution is limited. Our main objective was to describe the incidence of AKI in patients with SARS-CoV-2 infection; secondarily, we analysed the severity of AKI and medium-term renal function evolution in these patients.METHODA retrospective observational study that included patients hospitalized a single hospital, diagnosed with SARS-CoV-2 infection, who developed AKI (March-May 2020). We register clinical and demographic characteristics, creatinine upon admission and prior to discharge, as well as creatinine and CKD-EPI glomerular filtration rate (eGFR) after at least 3 months after discharge. CKD was defined according to KDIGO stages based on the eGFR (G3-G5). The KDIGO classification was used to define and classify AKI. Recovery of kidney function was defined as difference in at discharge or post-hospitalization creatinine < 0.3 mg/dL with respect basal creatinine. The clinical follow-up ranged from admission to death or end of study.RESULTSOf 258 patients hospitalized with SARS-CoV-2 infection, AKI occurred in 73 (28.3%). 63% (n = 46) were men; the mean of age was 69 years (57–76). DRA severity: 35 (48%) KDIGO-1, 15 (21%) KDIGO-2 and 23 (31%) KDIGO-3. The mean stay was associated with the severity of AKI: 7 days (3–11) for KDIGO-1, 11 days for KDIGO-2 (5–22) and 12 days (8–35) for KDIGO-3 (P = .02).The stage of CKD established differences in the severity of AKI: 66.6% (n = 6) of the patients with CKD G4–G5 presented AKI-KDIGO 3 versus only 25.0% (n = 4) in the CKD-G3 patients (P = .02). Admission to the ICU was more frequent in KDIGO 2–3 versus KDIGO-1 [39% (n = 15) versus 9% (n = 3); P < .01]. Of the 48 patients discharged, 30 (62.5%) had recovered their baseline renal function upon discharge. Only 2 are still on RRT after 8 months (2.7% of all patients). Of the 25 patients died (34% of patients with AKI) with a median time of 3 days from DRA diagnosis (1–8).Renal function of 35 patients was monitored, which correspond to 19 (54%) KDIGO-1, 8 (23%) KDIGO-2, 8 (23%) KDIGO-3 stages. In these patients, analytical control starting 3 months after hospitalization revealed FG 66 (SD 30; 56–76) mL/min/1.73 m2. We have not found differences in renal function between pre- and post-hospitalization in related test. A total of 77% (n = 37) of discharged patients recovered their baseline renal function in the post-hospitalization control.CONCLUSIONThe incidence of AKI in the context of COVID-19 in our series was 28.3%, with an associated mortality of 34.2%. Most of the patients presented with AKI KDIGO 1 (47.9%). The severity of AKI is associated with a longer hospital stay, admission to the ICU and the requirement for RRT. The advanced stages of CKD pre-admission showed more severity of AKI. The maintenance in TRS in our series has been 2.7%. Patients who were discharged for recovery/improvement of COVID-19 had normalized kidney function during subsequent follow-up, regardless of the severity of the AKI developed on admission for COVID-19.