scholarly journals Hospital Mortality in the United States following Acute Kidney Injury

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Jeremiah R. Brown ◽  
Michael E. Rezaee ◽  
Emily J. Marshall ◽  
Michael E. Matheny

Acute kidney injury (AKI) is a common reason for hospital admission and complication of many inpatient procedures. The temporal incidence of AKI and the association of AKI admissions with in-hospital mortality are a growing problem in the world today. In this review, we discuss the epidemiology of AKI and its association with in-hospital mortality in the United States. AKI has been growing at a rate of 14% per year since 2001. However, the in-hospital mortality associated with AKI has been on the decline starting with 21.9% in 2001 to 9.1 in 2011, even though the number of AKI-related in-hospital deaths increased almost twofold from 147,943 to 285,768 deaths. We discuss the importance of the 71% reduction in AKI-related mortality among hospitalized patients in the United States and draw on the discussion of whether or not this is a phenomenon of hospital billing (coding) or improvements to the management of AKI.

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4863-4863
Author(s):  
Smith Giri ◽  
Ranjan Pathak ◽  
Madan Raj Aryal ◽  
Paras Karmacharya ◽  
Michael G Martin

Abstract Introduction: Previous research has shown that weekend hospital admissions are associated with an increased mortality in comparison to weekday admissions for a number of emergent conditions including myocardial infarction [Relative Risk (RR) 1.048; 95% confidence interval [CI], 1.022 to 1.076; P value <0.001], pulmonary embolism (RR 1.17, 95% CI 1.03 to 1.34, P value <0.01) and gastrointestinal hemorrhage (RR 1.17, 95% CI 1.03 to 1.34, P value <0.01) . Thrombotic Thrombocytopenic Purpura (TTP) is a hematological emergency with a significant morbidity and mortality if not recognized early. However, studies evaluating if a similar "weekend" effect exists in TTP are lacking. Methods: We used the Nationwide Inpatient Sample database to identify patients admitted with TTP in the United States using ICD 9 CM code 446.6 from 2009 to 2011. Baseline data for demographic variables, age, gender, race, hospital characteristics- region, hospital type (rural versus urban, teaching versus non-teaching), bed-size, insurance payer and comorbidities were derived for weekend and weekday admissions. Logistic regression analysis was used to calculate the adjusted relative risk of in-hospital mortality of weekend versus weekday admissions. Data analysis was done using STATA 13.0 (College Station, TX: StataCorp LP) Results: Of the 6634, estimated TTP related hospitalizations, 19.5 % were admitted on the weekends and 80.5 % admitted on the weekdays. The mean age was 48±0.5 years and 66.4 % were females. A higher in-hospital mortality rate was seen among weekend admissions as compared to weekday admissions (RR 1.32, 95% CI 1.30-1.33, p value <0.01). On multivariate analysis (table 1), weekend admission remained as an independent predictor of increased mortality (adjusted RR 1.16, 95% CI 1.15-1.17, P value <0.01) after adjusting for other confounders including age, gender, comorbidities, hospital type and size. Similarly, acute kidney injury (adjusted RR 3.41, 95% CI 3.34-3.43, P value <0.001), stroke (adjusted RR 5.46, 95% CI 5.31-5.62, P value <0.001), and sepsis (adjusted RR 6.57, 95% CI 6.40-6.75, Pvalue <0.001) were associated with significantly increased risk of mortality among patients with TTP (table 1). Conclusions: A significantly higher in-hospital mortality occurs among TTP patients admitted on the weekends as compared to weekdays. Future research should focus on identifying the underlying factors for this difference so that quality improvement measures could be taken to mitigate this difference. Table 1: Logistic Regression Analysis showing the adjusted relative risk (RR) of various patient and hospital characteristics in predicting in-hospital mortality for patients with TTP. Variable Adjusted RR 95% CI of Adjusted RR P value Weekend admission 1.16 1.15-1.17 <0.001 Pay - Medicare - Medicaid - Private including HMO - self-pay - no charge - other 1.0 1.33 1.19 1.63 1.36 2.02 .. 1.28-1.38 1.14-1.25 1.50-1.77 1.11-1.67 1.73-2.36 <0.001 <0.001 <0.001 <0.001 <0.001 Race - white - black - hispanic - asian or pacific islander - native american - other 1.0 1.01 0.93 1.13 1.05 1.07 0.98-1.03 0.89-0.97 1.07-1.19 0.94-1.16 1.02-1.13 0.47 0.003 <0.001 0.34 0.003 Region - Northeast -Midwest - South - West 1 0.92 1.05 0.97 0.86-0.98 0.99-1.11 0.91-1.04 0.01 0.06 0.48 Co-morbidities - smoking - obesity - dyslipidemia - hypertension - diabetes mellitus - peripheral vascular disease - coronary artery disease - acute kidney injury - chronic kidney disease - stroke - sepsis 0.90 0.78 0.60 0.68 0.99 1.32 1.06 3.41 1.10 5.46 6.57 0.88-0.92 0.76-0.79 0.59-0.61 0.67-0.69 0.97-1.00 1.29-1.34 1.05-1.07 3.34-3.43 1.08-1.11 5.31-5.62 6.40-6.75 <0.001 <0.001 <0.001 <0.001 0.12 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 Age 1.04 1.043-1.046 <0.001 Female 0.78 0.78-0.79 <0.001 Hospital Type - rural - urban non teaching - urban teaching 1.0 0.92 1.05 0.88-0.97 0.99-1.11 0.002 0.061 Bed size - small - medium - large 0.95 1.01 0.89-1.01 0.96-1.07 0.11 0.51 Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Author(s):  
Steven L. Flamm ◽  
Kimberly Brown ◽  
Hani M. Wadei ◽  
Robert S. Brown ◽  
Marcelo Kugelmas ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-2 ◽  
Author(s):  
Rishika Singh ◽  
Dilip R. Patel ◽  
Sherry Pejka

Rhabdomyolysis can occur because of multiple causes and account for 7% of all cases of acute kidney injury annually in the United States. Identification of specific cause can be difficult in many cases where multiple factors could potentially cause rhabdomyolysis. We present a case of 16-year-old male who had seizures and was given levetiracetam that resulted in rhabdomyolysis. This side effect has been rarely reported previously and like in our case diagnosis may be delayed.


2019 ◽  
Vol 9 (12) ◽  
pp. 933-941 ◽  
Author(s):  
Christina Bradshaw ◽  
Jialin Han ◽  
Glenn M. Chertow ◽  
Jin Long ◽  
Scott M. Sutherland ◽  
...  

Author(s):  
Charat Thongprayoon ◽  
Tananchai Petnak ◽  
Wisit Kaewput ◽  
Fawad Qureshi ◽  
Michael A. Mao ◽  
...  

2016 ◽  
Vol 10 (3) ◽  
pp. 525-531 ◽  
Author(s):  
Girish N. Nadkarni ◽  
Priya K. Simoes ◽  
Achint Patel ◽  
Shanti Patel ◽  
Rabi Yacoub ◽  
...  

2017 ◽  
Vol 8 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Zhouping Zou ◽  
Yamin Zhuang ◽  
Lan Liu ◽  
Bo Shen ◽  
Jiarui Xu ◽  
...  

Background/Aims: To explore the association of body mass index (BMI) with the risk of developing acute kidney injury after cardiac surgery (CS-AKI) and for AKI requiring renal replacement therapy (AKI-RRT) after cardiac surgery. Methods: Clinical data of 8,455 patients undergoing cardiac surgery, including demographic preoperative, intraoperative, and postoperative data were collected. Patients were divided into underweight (BMI <18.5), normal weight (18.5≤ BMI <24), overweight (24≤ BMI <28), and obese (BMI ≥28) groups. The influence of BMI on CS-AKI incidence, duration of hospital, and intensive care unit (ICU) stays as well as AKI-related mortality was analyzed. Results: The mean age of the patients was 53.2 ± 13.9 years. The overall CS-AKI incidence was 33.8% (n = 2,855) with a hospital mortality of 5.4% (n = 154). The incidence of AKI-RRT was 5.2% (n = 148) with a mortality of 54.1% (n = 80). For underweight, normal weight, overweight, and obese cardiac surgery patients, the AKI incidences were 29.9, 31.0, 36.5, and 46.0%, respectively (p < 0.001). The hospital mortality of AKI patients in the 4 groups was 9.5, 6.0, 3.8, and 4.3%, whereas the hospital mortality of AKI-RRT patients in the 4 groups was 69.2, 60.8, 36.4, and 58.8%, both significantly different (p < 0.05). Hospital and ICU stay durations were not significantly different in the 4 BMI groups. Conclusion: The hospital prognosis of AKI and AKI-RRT patients after cardiac surgery was best when their BMI was in the 24-28 range.


2012 ◽  
Vol 15 (4) ◽  
pp. A154
Author(s):  
B. Hopkins ◽  
E. Obi-tabot ◽  
H. Wang ◽  
Y. Wang ◽  
T. Blount ◽  
...  

2016 ◽  
Vol 43 (4) ◽  
pp. 261-270 ◽  
Author(s):  
Jeremiah R. Brown ◽  
Michael E. Rezaee ◽  
William M. Hisey ◽  
Kevin C. Cox ◽  
Michael E. Matheny ◽  
...  

Background: Dialysis-requiring acute kidney injury (AKI-D) is a documented complication of hospitalization and procedures. Temporal incidence of AKI-D and related hospital mortality in the US population has not been recently characterized. We describe the epidemiology of AKI-D as well as associated in-hospital mortality in the US. Methods: Retrospective cohort of a national discharge data (n = 86,949,550) from the Healthcare Cost and Utilization Project's National Inpatient Sample, 2001-2011 of patients' hospitalization with AKI-D. Primary outcomes were AKI-D and in-hospital mortality. We determined the annual incidence rate of AKI-D in the US from 2001 to 2011. We estimated ORs for AKI-D and in-hospital mortality for each successive year compared to 2001 using multiple logistic regression models, adjusted for patient and hospital characteristics, and stratified the analyses by sex and age. We also calculated population-attributable risk of in-hospital mortality associated with AKI-D. Results: The adjusted odds of AKI-D increased by a factor of 1.03 (95% CI 1.02-1.04) each year. The number of AKI-D-related (19,886-34,195) in-hospital deaths increased almost 2-fold, although in-hospital mortality associated with AKI-D (28.0-19.7%) declined significantly from 2001 to 2011. Over the same period, the adjusted odds of mortality for AKI-D patients were 0.60 (95% CI 0.56-0.67). Population-attributable risk of mortality associated with AKI-D increased (2.1-4.2%) over the study period. Conclusions: The incidence rate of AKI-D has increased considerably in the US since 2001. However, in-hospital mortality associated with AKI-D hospital admissions has decreased significantly.


Author(s):  
João Bernardo ◽  
Joana Gonçalves ◽  
Joana Gameiro ◽  
João Oliveira ◽  
Filipe Marques ◽  
...  

Abstract Introduction: Acute kidney injury (AKI) has been described in Coronavirus Disease 2019 (COVID-19) patients and is considered a marker of disease severity and a negative prognostic factor for survival. In this study, the authors aimed to study the impact of transient and persistent acute kidney injury (pAKI) on in-hospital mortality in COVID-19 patients. Methods: This was a retrospective observational study of patients hospitalized with COVID-19 in the Department of Medicine of the Centro Hospitalar Universitario Lisboa Norte, Lisbon, Portugal, between March 2020 and August 2020. A multivariate analysis was performed to predict AKI development and in-hospital mortality. Results: Of 544 patients with COVID-19, 330 developed AKI: 166 persistent AKI (pAKI), 164 with transient AKI. AKI patients were older, had more previous comorbidities, had higher need to be medicated with RAAS inhibitors, had higher baseline serum creatine (SCr) (1.60 mg/dL vs 0.87 mg/dL), higher NL ratio, and more severe acidemia on hospital admission, and more frequently required admission in intensive care unit, mechanical ventilation, and vasopressor use. Patients with persistent AKI had higher SCr level (1.71 mg/dL vs 1.25 mg/dL) on hospital admission. In-hospital mortality was 14.0% and it was higher in AKI patients (18.5% vs 7.0%). CKD and serum ferritin were independent predictors of AKI. AKI did not predict mortality, but pAKI was an independent predictor of mortality, as was age and lactate level. Conclusion: pAKI was independently associated with in-hospital mortality in COVID-19 patients but its impact on long-term follow-up remains to be determined.


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