Purpose: Acute kidney injury (AKI) is a common source of morbidity in sepsis. We sought to determine risk factors for AKI, by acute kidney injury network (AKIN) criteria, in septic patients admitted in emergency clinical room (ER).

Materials And Methods: Prospective cohort study of 200 patients admitted to the ER of a University Hospital, followed for development of AKI over 5 days.

Results: AKI developed in 144/200 (72 %) patients. In multivariable regression analysis, independent risk factors for AKI included age over 65 years (OR 1.28; 95 % CI 1.12-1.89; p = 0.04), mean blood pressure (MBP) lower than 65 mmHg at moment of admission (OR 1.89; 95 % CI 1.43-2.64, p = 0.003) and diabetes mellitus (OR 1.66; 95 % CI 1.30-3.20; p = 0.012). Mortality rate was 51.4 % in AKI patients compared with 26.8 % for those without AKI (p = 0.002). Septic shock (OR = 1.83, 95 % CI 1.23-2.74, p = 0.007), AKIN 3 (OR = 1.64; 95 % CI 1.19-1.89, p = 0.02), APACHE 2 > 20 (OR 1.92, 95 % CI 1.34-2.02, p = 0.009) and need for dialysis (OR = 1.26, 95 % CI 1.13-1.75, p = 0.03) were identified as independent risk factors for death in multivariable regression analysis.

Conclusions: AKI severity in septic patients admitted in ER is associated with mortality. Diabetes, age over 65 years, and low MBP are independent risk factors for AKI and deserve further study to prevent AKI and, consequently, decreasing mortality.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10157-014-1076-9DOI Listing

Publication Analysis

Top Keywords

risk factors
20
patients admitted
16
acute kidney
12
kidney injury
12
septic patients
12
factors aki
12
independent risk
12
aki
10
admitted emergency
8
emergency clinical
8

Similar Publications

Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival.

Sci Rep

December 2024

School of Engineering and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya, 47500, Selangor Darul Ehsan, Malaysia.

Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of recurrence.

View Article and Find Full Text PDF

This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.

View Article and Find Full Text PDF

To investigate for the risk of uveitis among such patients. A retrospective cohort study utilized the TriNetX database and recruited pediatric autoimmune patients diagnosed between January 1st 2004 and December 31st 2022. The non-autoimmune cohort were randomly selected control patients matched by sex, age, and index year.

View Article and Find Full Text PDF

Triglyceride to high density lipoprotein cholesterol ratio and major adverse cardiovascular events in ACS patients undergoing PCI.

Sci Rep

December 2024

State Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, 110016, China.

The triglyceride to high density lipoprotein cholesterol (TG/HDL-C) ratio has been consistently linked with the risk of coronary heart disease (CHD). Nevertheless, there is a paucity of studies focusing on acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) or experiencing bleeding events. The study encompassed 17,643 ACS participants who underwent PCI.

View Article and Find Full Text PDF

Prognostic role of aetiological agent vs. clinical pattern in candidates to lead extraction for cardiac implantable electronic device infections.

Sci Rep

December 2024

Department of Medical and Surgical Sciences, Institute of Cardiology, University of Bologna, Policlinico S.Orsola-Malpighi, via Massarenti 9, Bologna, 40138, Italy.

Cardiac implantable electronic devices infections (CIEDI) are associated with poor survival despite the improvement in transvenous lead extraction (TLE). Aetiology and systemic involvement are driving factors of clinical outcomes. The aim of this study was to explore their contribute on overall mortality.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!