scholarly journals Clinical Characteristics and Outcomes of Community- and Hospital-Acquired Acute Kidney Injury with COVID-19 in a US Inner City Hospital System

2020 ◽  
Vol 10 (4) ◽  
pp. 223-231 ◽  
Author(s):  
Jerald Pelayo ◽  
Kevin Bryan Lo ◽  
Ruchika Bhargav ◽  
Fahad Gul ◽  
Eric Peterson ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Kidney Injury ◽  
African American ◽  
Clinical Outcomes ◽  
Clinical Characteristics ◽  
Kidney Injury ◽  
Hospital Death ◽  
City Hospital ◽  
History Of ◽  
Hospital Acquired

Introduction: Emerging data have described poor clinical outcomes from infection with the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2) among African American patients and those from underserved socioeconomic groups. We sought to describe the clinical characteristics and outcomes of acute kidney injury (AKI) in this special population. Methods: This is a retrospective study conducted in an underserved area with a predominance of African American patients with coronavirus disease 2019 (COVID-19). Descriptive statistics were used to characterize the sample population. The onset of AKI and relation to clinical outcomes were determined. Multivariate logistic regression was used to determine factors associated with AKI. Results: Nearly half (49.3%) of the patients with COVID-19 had AKI. Patients with AKI had a significantly lower baseline estimated glomerular filtration rate (eGFR) and higher FiO2 requirement and D-dimer levels on admission. More subnephrotic proteinuria and microhematuria was seen in these patients, and the majority had a pre-renal urine electrolyte profile. Patients with hospital-acquired AKI (HA-AKI) as opposed to those with community-acquired AKI (CA-AKI) had higher rates of in-hospital death (52 vs. 23%, p = 0.005), need for vasopressors (42 vs. 25%, p = 0.024), and need for intubation (55 vs. 25%, p = 0.006). A history of heart failure was significantly associated with AKI after adjusting for baseline eGFR (OR 3.382, 95% CI 1.121–13.231, p = 0.032). Conclusion: We report a high burden of AKI among underserved COVID-19 patients with multiple comorbidities. Those who had HA-AKI had worse clinical outcomes compared to those who with CA-AKI. A history of heart failure is an independent predictor of AKI in patients with COVID-19.

scholarly journals Adverse clinical outcomes associated with RAAS inhibitor discontinuation: analysis of over 400 000 patients from the UK Clinical Practice Research Datalink (CPRD)

2021 ◽  
Author(s):  
Toby J L Humphrey ◽  
Glen James ◽  
Eric T Wittbrodt ◽  
Donna Zarzuela ◽  
Thomas F Hiemstra
Keyword(s):  
Heart Failure ◽  
Acute Kidney Injury ◽  
Clinical Practice ◽  
Clinical Outcomes ◽  
Kidney Injury ◽  
Practice Research ◽  
Clinical Practice Research Datalink ◽  
Ckd Stage ◽  
First Occurrence ◽  
Baseline Characteristics

Abstract Background Users of guideline-recommended renin–angiotensin–aldosterone system (RAAS) inhibitors may experience disruptions to their treatment, e.g. due to hyperkalaemia, hypotension or acute kidney injury. The risks associated with treatment disruption have not been comprehensively assessed; therefore, we evaluated the risk of adverse clinical outcomes in RAAS inhibitor users experiencing treatment disruptions in a large population-wide database. Methods This exploratory, retrospective analysis utilized data from the UK’s Clinical Practice Research Datalink, linked to Hospital Episodes Statistics and the Office for National Statistics databases. Adults (≥18 years) with first RAAS inhibitor use (defined as angiotensin-converting enzyme inhibitors or angiotensin receptor blockers) between 1 January 2009 and 31 December 2014 were eligible for inclusion. Time to the first occurrence of adverse clinical outcomes [all-cause mortality, all-cause hospitalization, cardiac arrhythmia, heart failure hospitalization, cardiac arrest, advancement in chronic kidney disease (CKD) stage and acute kidney injury] was compared between RAAS inhibitor users with and without interruptions or cessations to treatment during follow-up. Associations between baseline characteristics and adverse clinical outcomes were also assessed. Results Among 434 027 RAAS inhibitor users, the risk of the first occurrence of all clinical outcomes, except advancement in CKD stage, was 8–75% lower in patients without interruptions or cessations versus patients with interruptions/cessations. Baseline characteristics independently associated with increased risk of clinical outcomes included increasing age, smoking, CKD, diabetes and heart failure. Conclusions These findings highlight the need for effective management of factors associated with RAAS inhibitor interruptions or cessations in patients for whom guideline-recommended RAAS inhibitor treatment is indicated.

Acute kidney injury and major outcomes in cancer patients with no history of chronic kidney disease (CKD) with coronavirus 2019 (COVID-19) infection.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18816-e18816
Author(s):  
Cesar Simbaqueba ◽  
Omar Mamlouk ◽  
Kodwo Dickson ◽  
Josiah Halm ◽  
Sreedhar Mandayam ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Acute Kidney Injury ◽  
Cancer Patients ◽  
Clinical Outcomes ◽  
Kidney Injury ◽  
Hazard Model ◽  
Cancer Center ◽  
Icu Admission ◽  
Significant Difference ◽  
History Of

e18816 Background: Acute Kidney Injury (AKI) in patients with COVID-19 infection is associated with poor clinical outcomes. We examined outcomes (hemodialysis, mechanical ventilation, ICU admission and death) in cancer patients with normal estimated glomerular filtration rate (eGFR) treated in a tertiary referral center with COVID-19 infection, who developed AKI within 30 days of diagnosis. Methods: All patient data — demographics, labs, comorbidities and outcomes — were aggregated and analyzed in the Syntropy platform, Palantir Foundry (“Foundry”), as part of the Data-Driven Determinants of COVID-19 Oncology Discovery Effort (D3CODE) protocol at MD Anderson. The cohort was defined by the following: (1) positive COVID-19 test; (2) baseline eGFR >60 ml/min/1.73m2most temporally proximal lab results within 30 days prior to the patient’s infection. AKI was defined by an absolute change of creatinine ≥0.3 within 30 days after the positive COVID-19 test. Kaplan-Meier analysis was used for survival estimates at specific time periods and multivariate Cox Proportional cause-specific Hazard model regression to determine hazard ratios with 95% confidence intervals for major outcomes. Results: 635 patients with Covid-19 infection had a baseline eGFR >60 ml/min/1.73m2. Of these patients, 124 (19.5%) developed AKI. Patients with AKI were older, mean age of 61+/-13.2 vs 56.9+/- 14.3 years (p=0.002) and more Hypertensive (69.4% vs 56.4%, p=0.011). AKI patients were more likely to have pneumonia (63.7% vs 37%, p<0.001), cardiac arrhythmias (39.5% vs 20.7%, p<0.001) and myocardial infarction (15.3% vs 8.8%, p=0.046). These patients had more hematologic malignancies (35.1% vs 19%, p=0.005), with no difference between non metastatic vs metastatic disease (p=0.284). There was no significant difference in other comorbidities including smoking, diabetes, hypothyroidism and liver disease. AKI patients were more likely to require dialysis (2.4% vs 0.2%, p=0.025), mechanical ventilation (16.1% vs 1.8%, p<0.001), ICU admission (43.5% vs 11.5%, p<0.001) within 30 days, and had a higher mortality at 90 days of admission (20.2% vs 3.7%, p<0.001). Multivariate Cox Proportional cause-specific Hazard model regression analysis identified history of Diabetes Mellitus (HR 10.8, CI 2.42 - 48.4, p=0.001) as an independent risk factor associated with worse outcomes. Mortality was higher in patients with COVID-19 infection that developed AKI compared with those who did not developed AKI (survival estimate 150 days vs 240 days, p=0.0076). Conclusions: In cancer patients treated at a tertiary cancer center with COVID-19 infection and no history of CKD, the presence of AKI is associated with worse outcomes including higher 90 day mortality, ICU stay and mechanical ventilation. Older age and hypertension are major risk factors, where being diabetic was associated with worse clinical outcomes.

Predictors of Acute Kidney Injury Following Surgical Valve Replacement

2020 ◽  
Author(s):  
Khalid S. Ibrahim ◽  
Khalid A. Kheirallah ◽  
Fadia A. Mayyas ◽  
Nizar A. Alwaqfi
Keyword(s):  
Heart Failure ◽  
Acute Kidney Injury ◽  
Blood Transfusion ◽  
Valve Replacement ◽  
Artery Bypass ◽  
Kidney Injury ◽  
Inotropic Support ◽  
History Of ◽  
Surgical Valve Replacement ◽  
Perioperative Blood Transfusion

Abstract Background Acute kidney injury is a serious complication after surgical valve replacement and holds increased mortality rates. Objectives To study predictors of acute kidney injury after surgical valve replacement. Materials and Methods Patients who underwent valve surgery procedures at our center were included. Procedures included aortic valve replacement (AVR), mitral valve replacement (MVR), AVR with coronary artery bypass grafting (CABG), MVR with CABG, or AVR and MVR with/without CABG. Results A total of 346 patients were included. The mean age was 51.56 (16.1). Males (n = 178) comprised 51%.At the univariate level analysis, predictors of acute kidney injury were found including age, ejection fraction, hypertension, history of CAD, emergency surgery, recent myocardial infarction, diabetes, atrial fibrillation, history of heart failure, mitral regurgitation (MR), pump time >120 minutes, aortic cross clamp >90 minutes, perioperative blood transfusion, re-exploration for bleeding, use of mechanical and biologic valve in aortic position, use of biologic valve in mitral position, prolonged inotropic support, postoperative stroke, and use of angiotensin converting enzyme inhibitors (ACEi) < a month, (all p < 0.05).By Logistic regression analysis, Age (p < 0.0001, odds ratio[AOR] = 1.076), hypertension (p = 0.039, AOR = 1.829), heart failure (p = 0.019, AOR = 2.448), MR (p = 0.0001, AOR = 3.110), use of ACEi <month (p = 0.043, AOR= 2.181), pump time >120 minutes (p = 0.022, AOR = 1.797), perioperative blood transfusion (p = 0.008, AOR = 2.532), and prolonged inotropic support (p = 0.012, AOR = 2.591) were significant and independent predictors of AKI. Conclusion Independent predictors of acute kidney injury following valve surgeries include age, hypertension, heart failure, MR, use of ACEi <month, perioperative blood transfusion, and prolonged pump time or inotropic support.

scholarly journals One-Year Survival and Renal Function Recovery of Acute Kidney Injury Patients with Chronic Heart Failure

2014 ◽  
Vol 5 (1) ◽  
pp. 40-47 ◽  
Author(s):  
Wen Zhang ◽  
Dan Wen ◽  
Yan-Fang Zou ◽  
Ping-Yan Shen ◽  
Yao-Wen Xu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Acute Kidney Injury ◽  
Chronic Heart Failure ◽  
Clinical Characteristics ◽  
Nyha Class ◽  
Kidney Injury ◽  
Class Iii ◽  
Kidney Dysfunction ◽  
Nyha Classification

Objective: To describe and analyze the clinical characteristics of acute kidney injury (AKI) patients with preexisting chronic heart failure (CHF) and to identify the prognostic factors of the 1-year outcome. Methods: A total of 120 patients with preexisting CHF who developed AKI between January 2005 and December 2010 were enrolled. CHF was diagnosed according to the European Society of Cardiology guidelines, and AKI was diagnosed using the RIFLE criteria. Clinical characteristics were recorded, and nonrecovery from kidney dysfunction as well as mortality were analyzed. Results: The median age of the patients was 70 years, and 58.33% were male. 60% of the patients had an advanced AKI stage (‘failure') and 90% were classified as NYHA class III/IV. The 1-year mortality rate was 35%. 25.83% of the patients progressed to end-stage renal disease after 1 year. Hypertension, anemia, coronary atherosclerotic heart disease and chronic kidney disease were common comorbidities. Multiple organ dysfunction syndrome (MODS; OR, 35.950; 95% CI, 4.972-259.952), arrhythmia (OR, 13.461; 95% CI, 2.379-76.161), anemia (OR, 6.176; 95% CI, 1.172-32.544) and RIFLE category (OR, 5.353; 95% CI, 1.436-19.952) were identified as risk factors of 1-year mortality. For 1-year nonrecovery from kidney dysfunction, MODS (OR, 8.884; 95% CI, 2.535-31.135) and acute heart failure (OR, 3.281; 95% CI, 1.026-10.491) were independent risk factors. Conclusion: AKI patients with preexisting CHF were mainly elderly patients who had an advanced AKI stage and NYHA classification. Their 1-year mortality and nonrecovery from kidney dysfunction rates were high. Identifying risk factors may help to improve their outcome.

scholarly journals Clinical Profile, Pharmacological Treatment, and Predictors of Death Among Hospitalized COVID-19 Patients With Acute Kidney Injury: A Population-Based Registry Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Eduardo Gutiérrez-Abejón ◽  
Débora Martín-García ◽  
Eduardo Tamayo ◽  
F. Javier Álvarez ◽  
Francisco Herrera-Gómez
Keyword(s):  
Acute Kidney Injury ◽  
Clinical Outcomes ◽  
Kidney Injury ◽  
Population Based ◽  
Hospital Death ◽  
Registry Study ◽  
Acute Dialysis ◽  
Population Based Registry ◽  
Very High ◽  
Registry Analysis

Introduction: One of the worst clinical outcomes of the coronavirus disease 2019 (COVID-19) pandemic was acute kidney injury (AKI).Methods: This manuscript presents results from a population-based registry study assessing treatment, comorbidities, and predictors of hospital death among COVID-19 patients with AKI from March 1st to May 31th, 2020. Death, oxygen delivery and ventilation, acute dialysis need, use of medications, and various clinical outcomes, in addition to the length of stay in the hospital and intensive care unit (ICU), were evaluated.Results: In Castile and Leon, the largest region of Spain, 10.87% of the patients admitted for COVID-19 (n = 7,307) developed AKI. These patients were known by having hypertension (57.93%), cardiovascular disease (48.99%), diabetes (26.7%) and chronic kidney disease (14.36%), and they used antibiotics (90.43%), antimalarials (60.45%), steroids (48.61%), antivirals (33.38%), anti-systemic inflammatory response syndrome (SIRS) drugs (9.45%), and tocilizumab (8.31%). Mortality among patients with AKI doubled that observed in patients without AKI (46.1 vs. 21.79%). Predictors of hospital death in COVID-19 patients with AKI were ventilation needs (OR = 5.9), treatment with steroids (OR = 1.7) or anti-SIRS (OR = 2.4), severe acute respiratory syndrome (SARS) occurrence (OR = 2.8), and SIRS occurrence (OR = 2.5).Conclusions: Acute kidney injury is a frequent and serious complication among COVID-19 patients, with a very high mortality, that requires more attention by treating physicians, when prescribing medications, by looking for manifestations particular to the disease, such as SARS or SIRS.

Effect of acute kidney injury on hospital-based outcomes in patients with multiple myeloma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e20006-e20006
Author(s):  
Muhammad Usman Zafar ◽  
Zahid Tarar ◽  
Ghulam Ghous ◽  
Umer Farooq ◽  
Bradley Walter Lash
Keyword(s):  
Heart Failure ◽  
Multiple Myeloma ◽  
Acute Kidney Injury ◽  
Length Of Stay ◽  
Kidney Injury ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Teaching Hospitals ◽  
Inpatient Mortality ◽  
History Of

e20006 Background: Multiple Myeloma, a cancer of plasma cells, is treatable, but incurable. 5-year survival rate is about 54% depending upon the stage. Studies have suggested that up to 50% of the patients experience acute kidney injury or chronic kidney disease at some point in their disease course. Approximately 3% of the patients will end up on hemodialysis. In this study we utilize the National Inpatient Sample (NIS) to understand the effect of acute kidney injury (AKI) on inpatient mortality in multiple myeloma patients. Methods: This is a retrospective study utilizing the data obtained from the NIS for the year 2018. We queried this NIS database for ICD-10 codes for multiple myeloma or plasmacytoma that had not achieved remission or was in relapse. We also looked at codes for acute kidney injury as secondary diagnosis. Primary outcome was inpatient mortality. Secondary outcomes were hospital length of stay and cost utilization. We then ran multivariate logistic regression analysis in STATA MP 16.1. Various comorbidities were accounted for by adding them into the analysis. These included previous history of coronary artery disease, congestive heart failure, stroke, smoking, hyperlipidemia, stem cell transplant, neutropenia and chemotherapy. Results: The population of multiple myeloma patients under investigation were all adults more than 18 years of age and numbered in 3944 patients. The mean age was 65.71 years. Among these 45% were females. While examining inpatient mortality we see that for patients that had AKI the odds of inpatient mortality are higher (Odds Ratio (OR) 1.75, p = 0.003, 95% Confidence Interval (CI) 1.21 – 2.56). History of Heart Failure (OR 2.28, 95% CI 1.59 – 3.28), and increasing age (OR 1.02, 95% CI 1.01 – 1.04) also appear to contribute towards higher odds of mortality. The effect of other comorbidities was not statistically significant. Among demographical characteristics being of Native American heritage or not belonging to any descriptive race predicted higher odds of mortality. Mean LOS was 11 days. Patients with AKI stayed in the hospital longer by ̃1.4 days (Coef. 1.39, 95% CI 0.41 – 2.37). LOS was higher in patients with a history of heart failure (2.61, 95% CI 0.89 – 4.34 and in those with a history of neutropenia (5.52, 95% CI 4.42 – 6.62). LOS was lower in patients with a history of smoking by 1 day. Age lowered the LOS by a clinically insignificant amount. Teaching hospitals had higher LOS by ̃4 days. The total charge for hospitalizations from AKI is higher by $31019 (95% CI 14444.23 – 47594.37). Other factors incurring higher cost include history of neutropenia, and teaching hospitals. Hospitals in the Midwest had lower cost compared to hospitals in the Northeast. Conclusions: Among patients that present with a principal diagnosis of multiple myeloma, having acute kidney injury, adversely affects inpatient outcomes that include, mortality, hospital length of stay and total hospitalization cost.

Abstract 16705: Prevalence and Outcomes Among Hospitalized Patients With Covid-19 and Atrial Fibrillation or Flutter

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Zaniar Ghazizadeh ◽  
Chad Gier ◽  
Avinainder Singh ◽  
Lina Vadlamani ◽  
Maxwell Eder ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Acute Kidney Injury ◽  
Adverse Events ◽  
Cardiac Injury ◽  
Kidney Injury ◽  
Prior History ◽  
New Haven ◽  
History Of ◽  
Record Review

Introduction: The prevalence and outcomes of patients hospitalized with COVID-19 with atrial fibrillation and atrial flutter (AF/FL) remains unclear. Methods: The Yale Cardiovascular COVID Registry is a cohort study of adult patients >=18 years hospitalized with COVID-19 in the Yale New Haven Health System. Retrospective medical record review was performed on consecutive patients from the registry admitted between March and June 2020. We calculated the rates of prior and in-hospital AF/FL and evaluated the unadjusted rates of in-hospital adverse events for both groups; we then calculated the adjusted odds of adverse events using logistic regression. Results: Among 396 patients, the mean age was 68.2, 52.3% were men, 56.4% were Caucasian, 28.4% Black and 16.9% Hispanic. 15.7% of patients had prior history of AF/FL. 19.9% of patients had in-hospital AF/FL, 7.83% of which did not have a prior history of AF/FL. Patients with in-hospital AF/FL had significantly more CV complications compared to those without including cardiac injury (78.5% vs 42.7%, p=0.000), type 2 myocardial infarction (53.3 vs 30.3%, p=0.002), and heart failure (32.9% vs 9.2%, p=0.000). In-hospital AF/FL was associated with significantly worse outcomes related to COVID-19 including ICU survival (OR 0.22 [0.08-0.59], p=0.002), heart failure (5.19 [2.56-10.5], p=0.000), myocardial injury (OR 2.87 [1.49-5.49], p=0.001), acute kidney injury (OR 2.02 [1.09-3.74], p=0.027), dialysis (OR 4.07 [1.38-12.03], p=0.011) and hospice/death (OR 2.47 [1.35-4.53], p=0.004). Conclusion: AF/FL are common in patients hospitalized with COVID-19 and these patients had significantly worse outcomes, including lower odds of ICU survival and higher odds of heart failure, acute kidney injury, dialysis and hospice/death.

scholarly journals Clinical Characteristics of Acute Kidney Injury in Community-acquired and Hospital-acquired Patients in Xinjiang

2015 ◽  
Vol 17 (2) ◽  
pp. S98
Author(s):  
Suhua Li ◽  
Mingming Qiao ◽  
Shun Wang ◽  
Caichang Li ◽  
Li Zhang ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Clinical Characteristics ◽  
Kidney Injury ◽  
Hospital Acquired

Abstract 18018: Clinical Predictors of Acute Kidney Injury After Lower Extremity Surgical Bypass in the Society for Vascular Surgery Vascular Quality Initiative

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Erica Flores ◽  
Ke Chen ◽  
Juan Pablo Lewinger ◽  
Leonardo Clavijo ◽  
David Shavelle ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Kidney Injury ◽  
Blood Transfusion ◽  
Lower Extremity ◽  
Emergency Surgery ◽  
Multivariate Logistic Regression Analysis ◽  
Kidney Injury ◽  
Clinical Predictors ◽  
Factors Associated ◽  
History Of

Introduction: The incidence and factors associated with acute kidney injury (AKI) development after lower extremity bypass (LEB) are not well defined. The objective of this study is to determine the incidence and characteristics associated with the development of AKI in patients undergoing infrainguinal LEB. Methods: A retrospective review of all LEB surgeries in the Vascular Quality Initiative (VQI) registry from January 2003 to April 2015 was performed. AKI was defined as post-operative rise in creatinine (Cr) > 0.5 mg/dl or new renal impairment requiring dialysis. Demographic, procedural and clinical variables were collected. Patients on dialysis and those missing pre and post-operative Cr values were excluded. Multivariate logistic regression analysis was performed to identify variables associated with the development of AKI following LEB. Results: 12,564 patients were included in the analysis; 509 (4%) developed AKI. Comparison of baseline characteristics between patients that developed AKI and those that did not are shown in the Table. In multivariate analysis, diabetes (OR 1.57, p<0.01), history of heart failure (OR 1.60, p<0.01), emergency surgery (OR 1.34, p<0.01), need for blood transfusion (OR 2.41, p<0.01) and chronic kidney disease (CKD) stages 2 (OR 1.39, p<0.01), 3(OR 2.85, p<0.01), and 4(OR 5.46, p<0.01) were all significantly associated with AKI. Factors associated with a lower incidence of AKI included smoking (OR 0.72, p<0.05), female gender (OR 0.69, p<0.01) and higher hemoglobin levels (OR 0.92, p<0.01). Conclusions: Overall, the development of AKI in a large contemporary database was 4%. Multiple clinical characteristics are associated with development of AKI, including history of heart failure, diabetes, CKD, emergency surgery and need for blood transfusion, and may help to identify at-risk patients. Further studies are needed to prospectively validate these findings and determine if postoperative AKI increases the mortality risk.

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