scholarly journals AKI Risk Score (AKI-RiSc): Developing an Interpretable Clinical Score for Early Identification of Acute Kidney Injury for Patients Presenting to the Emergency Department

Author(s):  
Yukai Ang ◽  
Marcus Eng Hock Ong ◽  
Feng Xie ◽  
Su Hooi Teo ◽  
Lina Choong ◽  
...  

Background: Acute kidney injury (AKI) in hospitalised patients is a common syndrome associated with poorer patient outcomes. Clinical risk scores can be used for the early identification of patients at risk of AKI. Methods: We conducted a retrospective study using electronic health records of Singapore General Hospital emergency department patients who were admitted from 2008 to 2016. The primary outcome was inpatient AKI of any stage within 7 days of admission based on Kidney Disease Improving Global Outcome (KDIGO) 2012 guidelines. AutoScore, a machine learning based algorithm, was used to generate point based clinical scores from the study sample which was divided into training, validation and testing cohorts. Model performance was evaluated using area under the curve (AUC). Results: Among the 119,468 admissions, 10,693 (9.0%) developed AKI. 8,491 were stage 1 (79.4%), 906 stage 2 (8.5%) and 1,296 stage 3 (12.1%). The AKI Risk Score (AKI-RiSc) was a summation of the integer scores of 6 variables: serum creatinine, serum bicarbonate, pulse, systolic blood pressure, and diastolic blood pressure. AUC of AKI-RiSc was 0.730 (95% CI: 0.713 - 0.747), outperforming an existing AKI Prediction Score model which achieved AUC of 0.665 (95% CI: 0.646 - 0.679) when evaluated on the same test cohort. At a cut-off of 4 points, AKI-RiSc had a sensitivity of 82.5% and specificity of 46.7%. Conclusion: AKI-RiSc is a simple point based clinical score that can be easily implemented on the ground for early identification of AKI in high-risk patients and potentially be applied in healthcare settings internationally.

2021 ◽  
Author(s):  
Yukai Ang ◽  
Siqi Li ◽  
Marcus Eng Hock Ong ◽  
Feng Xie ◽  
Su Hooi Teo ◽  
...  

Abstract Acute kidney injury (AKI) in hospitalised patients is a common syndrome associated with poorer patient outcomes. Clinical risk scores can be used for the early identification of patients at risk of AKI. We conducted a retrospective study using electronic health records of Singapore General Hospital emergency department patients who were admitted from 2008 to 2016. The primary outcome was inpatient AKI of any stage within 7 days of admission based on Kidney Disease Improving Global Outcome (KDIGO) 2012 guidelines. A machine learning AutoScore algorithm was used to generate clinical scores from the study sample which was divided into training, validation and testing cohorts. Model performance was evaluated using area under the curve (AUC). Among the 119,468 admissions, 10,693 (9.0%) developed AKI. 8,491 were stage 1 (79.4%), 906 stage 2 (8.5%) and 1,296 stage 3 (12.1%). The AKI Risk Score (AKI-RiSc) was a summation of the integer scores of 6 variables: serum creatinine, serum bicarbonate, pulse, systolic blood pressure, and diastolic blood pressure. AUC of AKI-RiSc was 0.730 (95% CI: 0.713 – 0.747), outperforming an existing AKI Prediction Score model which achieved AUC of 0.665 (95% CI: 0.646 – 0.679) on the testing cohort. At a cut-off of 4 points, AKI-RiSc had a sensitivity of 82.5% and specificity of 46.7%. AKI-RiSc is a simple clinical score that can be easily implemented on the ground for early identification of AKI and potentially be applied in international settings.


2020 ◽  
pp. 102490792093172 ◽  
Author(s):  
Jonathan Chun-Hei Cheung ◽  
Kam Leung Law ◽  
Koon Ngai Lam

A 77-year-old woman on metoprolol and lisinopril presented to an emergency department with giddiness after vomiting for few hours. She was found to have low blood pressure and bradycardia 38 beats per minute due to atrioventricular nodal blockade. Her bradycardia was refractory to atropine and dopamine infusion; but improved with calcium gluconate. She was found to have acute kidney injury and hyperkalemia at 6.4 mEq/L. This is a case of Bradycardia, Renal Failure, Atrioventricular-Nodal Blockers, Shock, and Hyperkalemia (BRASH) syndrome, precipitated by dehydration and perpetuated by atrioventricular blockade, illustrating the degree of bradycardia and electrocardiographic changes being out of proportion to the potassium level. BRASH syndrome should be recognized and intervened early in the course to avoid the patient entering a vicious cycle that could be rapidly fatal.


2019 ◽  
Author(s):  
Catalina Martin-Cleary ◽  
Luis Miguel Molinero-Casares ◽  
Alberto Ortiz ◽  
Jose Miguel Arce-Obieta

Abstract Background Predictive models and clinical risk scores for hospital-acquired acute kidney injury (AKI) are mainly focused on critical and surgical patients. We have used the electronic clinical records from a tertiary care general hospital to develop a risk score for new-onset AKI in general inpatients that can be estimated automatically from clinical records. Methods A total of 47 466 patients met inclusion criteria within a 2-year period. Of these, 2385 (5.0%) developed hospital-acquired AKI. Step-wise regression modelling and Bayesian model averaging were used to develop the Madrid Acute Kidney Injury Prediction Score (MAKIPS), which contains 23 variables, all obtainable automatically from electronic clinical records at admission. Bootstrap resampling was employed for internal validation. To optimize calibration, a penalized logistic regression model was estimated by the least absolute shrinkage and selection operator (lasso) method of coefficient shrinkage after estimation. Results The area under the curve of the receiver operating characteristic curve of the MAKIPS score to predict hospital-acquired AKI at admission was 0.811. Among individual variables, the highest odds ratios, all >2.5, for hospital-acquired AKI were conferred by abdominal, cardiovascular or urological surgery followed by congestive heart failure. An online tool (http://www.bioestadistica.net/MAKIPS.aspx) will facilitate validation in other hospital environments. Conclusions MAKIPS is a new risk score to predict the risk of hospital-acquired AKI, based on variables present at admission in the electronic clinical records. This may help to identify patients who require specific monitoring because of a high risk of AKI.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Shoji ◽  
M Sawano ◽  
Y Shiraishi ◽  
N Ikemura ◽  
S Noma ◽  
...  

Abstract Background Contrast-induced acute kidney injury (CI-AKI) is one of the frequently encountered and costly complications after percutaneous coronary intervention (PCI). Clinical practice guidelines strongly recommend that PCI patients should universally undergo preprocedural assessment for the risk of CI-AKI, and the contrast volume (CV) should be minimized to an achievable level, particularly among the high AKI risk patients. However, data on the CV use based on the comprehensive preprocedural risk assessment is still lacking. Purpose Our study aimed to 1) assess the impact of CV increase with the incidence of AKI among high AKI risk patients, and 2) retrospectively evaluate the used CV based on the preprocedural comprehensive risk assessment for patients undergoing PCI within multicenter longitudinal registry. Methods Between 2009 and 2018, 22,373 patients underwent PCI in 14 participating facilities, and consecutive patient data was registered. AKI was defined as a >0.3mg/dl absolute or >1.5-fold relative increase in post-PCI creatinine or new initiation of dialysis, based on the Acute Kidney Injury Network criteria. The post-procedural creatinine was defined as the highest value within 30 days after the indexed procedure. Congruent with the National Cardiovascular Data Registry (NCDR) definition, if more than 1 post-procedural creatinine level was measured, the highest value was used for determining AKI. We divided the patients into four groups according to quartile of NCDR AKI risk scores. Results Mean age of the patients were 68.7±11.1 years, and 79.1% were male. Mean CV use was 161.4±74.8ml. The incidence of CI-AKI was 8.9%, and was particularly high among high AKI risk patients (21.1%); CV (per 1ml linear increase) was directly associated with the occurrence of AKI (OR: 1.002 per unit in CV; 95% CI: 1.001–1.003; P<0.001) in these patients. CV during PCI decreased with the progression of chronic kidney disease (CKD), but it did not alter by the overall NCDR AKI risk score (Figure). After multivariable adjustment, CV was predicted by stage of CKD (−13.68ml; 95% CI: −12.05 to −15.30ml; P<0.001), but not by the value of pre-procedure prediction score (NCDR AKI risk score, P=0.575). CV according to CKD/NCDR AKI risk score Conclusions Higher CV was directly associated with the occurrence of AKI among higher AKI risk patients. However, CV use was largely influenced by the stage of renal disease, and not with overall patient risk presented by contemporary risk scores. Our results have identified an important evidence-practice gap and emphasizes the importance of total preprocedural assessment to minimize CV and prevent subsequent AKI. Acknowledgement/Funding KAKENHI (16KK0186, 16H05215, 25460630, 25460777), Bayer, Daiichi Sankyo, Bristol-Myers Squibb, Teikoku Seiyaku, Sumitomo Dainippon, AstraZeneka, Pfizer


2015 ◽  
Vol 30 (suppl_3) ◽  
pp. iii451-iii451 ◽  
Author(s):  
Laura Hill ◽  
Tharun Zacharia ◽  
Charlotte Hill ◽  
Trevor Hine ◽  
Shahed Ahmed

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jayawardane Pathiranage Roneesha Lakmali ◽  
Kanapathipillei Thirumavalavan ◽  
Danapala Dissanayake

Abstract Background Leptospirosis is a zoonotic spirochetal disease caused by Leptospira interrogans. The clinical presentation ranges from an asymptomatic state to a fatal multiorgan dysfunction. Neurological manifestations including aseptic meningitis, spinal cord and peripheral nerve involvement, cranial neuropathies and cerebellar syndrome are well recognized with varying frequencies among patients with this disease. Posterior reversible encephalopathy syndrome is a very rare occurrence in leptospirosis and only two cases are reported in the medical literature up to now. We report a case of posterior reversible encephalopathy syndrome in a patient with leptospirosis with rhabdomyolysis and acute kidney injury. Case presentation A 21 year-old male presented with fever and oliguric acute kidney injury with rhabdomyolysis. A diagnosis of leptospirosis was made and he was being managed according to the standard practice together with regular hemodialysis. The clinical condition was improving gradually. On day 8 of the illness, he developed headache and sudden painless complete bilateral vision loss followed by several brief generalized tonic clonic seizure attacks. Examination was significant for a Glasgow Coma Scale of 14/15, blood pressure of 150/90 mmHg and complete bilateral blindness. The findings of magnetic resonance imaging of the brain were compatible with posterior reversible encephalopathy syndrome. He was managed with blood pressure control and antiepileptics with supportive measures and standard treatment for leptospirosis and made a complete recovery. Conclusion Posterior reversible encephalopathy syndrome, though very rare with leptospirosis, should be considered as a differential diagnosis in a patient with new onset visual symptoms and seizures, especially during the immune phase. Optimal supportive care together with careful blood pressure control and seizure management would yield a favourable outcome in this reversible entity.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Xin Li ◽  
Xiaojing Wu ◽  
Muyin Zhang ◽  
Lili Xu ◽  
Guohui Li ◽  
...  

Abstract Background Pregnancy-related acute kidney injury (Pr-AKI) is associated with maternal and fetal morbidity and mortality. There are few studies focusing on Pr-AKI at high altitude in the literature. Objectives to investigate the incidence, etiology, clinical features and maternal-fetal outcomes of Pr-AKI in women living at high altitude. Methods 6,512 pregnant women attending the Department of Obstetrics & Gynecology at local hospital from January 2015 to December 2018 were screened for Pr-AKI. Patients with serum creatinine above normal range(> 70umol/L) then underwent assessment to confirm the diagnosis of Pr-AKI. AKI was diagnosed and staged based on Kidney Disease Improving Global Outcomes(KDIGO) guideline. Individuals meeting the Pr-AKI criteria were recruited. Their clinical data were recorded and retrospectively analyzed. Results Pr-AKI was identified in 136/6512(2.09 %) patients. Hypertensive disorders of pregnancy(HDP) was the leading cause of Pr-AKI(35.3 %). 4(2.9 %) women died and the majority(86.1 %) had recovered renal function before discharge. Fetal outcomes were confirmed in 109 deliveries with gestational age ≥ 20 weeks. Pre-term delivery occurred in 30(27.3 %) cases and perinatal deaths in 17(15.5 %). The rate of low birth weight infant(LBWI) and intrauterine growth restriction(IUGR) was 22.0 and 10.9 % respectively. 16(14.5 %) infants were admitted to NICU after birth. Patients with HDP had a higher cesarean rate(56.3 %). More IUGR(25.0 %) and LBWI(37.8 %) were observed in their infants with a higher risk of admission to NICU(22.0 %). High altitude might have an adverse impact on HDP-related Pr-AKI patients with earlier terminated pregnancy and more stillbirth/neonatal death. Logistic regression models indicated that uncontrolled blood pressure, high altitude and advanced AKI were associated with adverse fetal outcomes in HDP-related Pr-AKI patients. Conclusions Pr-AKI was not rare in high-altitude regions and caused severe fetal morbidities and mortalities. Uncontrolled blood pressure, high altitude and advanced AKI were all risk factors for adverse fetal outcomes in Pr-AKI patients, especially for those with hypertensive disorders of pregnancy.


2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
C McCann ◽  
A Hall ◽  
J Min Leow ◽  
A Harris ◽  
N Hafiz ◽  
...  

Abstract Background Acute kidney injury (AKI) in hip fracture patients is associated with morbidity, mortality, and increased length of stay. To avoid this our unit policy recommends maintenance crystalloid IV fluids of &gt;62.5 mL/Hr for hip fracture patients. However, audits have shown that many patients still receive inadequate IV fluids. Methods Three prospective audits, each including 100 consecutive acute hip fracture patients aged &gt;55, were completed with interventional measures employed between each cycle. Data collection points included details of IV fluid administration and pre/post-operative presence of AKI. Interventions between cycles included a revised checklist for admissions with a structured ward round tool for post-take ward round and various educational measures for Emergency Department, nursing and admitting team staff with dissemination of infographic posters, respectively. Results Cycle 1: 64/100 (64%) patients received adequate fluids. No significant difference in developing AKI post operatively was seen in patients given adequate fluids (2/64, 3.1%) compared to inadequate fluids (4/36, 11.1%; p = 0.107). More patients with pre-operative AKI demonstrated resolution of AKI with appropriate fluid prescription (5/6, 83.3%, vs 0/4, 0%, p &lt; 0.05) Cycle 2: Fewer patients were prescribed adequate fluids (54/100, 54%). There was no significant difference in terms of developing AKI post operatively between patients with adequate fluids (4/54, 7.4%) or inadequate fluids (2/46, 4.3%; p = 0.52). Resolution of pre-operative AKI was similar in patients with adequate or inadequate fluid administration (4/6, 67% vs 2/2, 100%). Cycle 3: More patients received adequate fluids (79/100, 79%, p &lt; 0.05). Patients prescribed adequate fluids were less likely to develop post-operative AKI than those receiving inadequate fluids (2/79, 2.5% vs 3/21, 14.3%; p &lt; 0.05). Discussion This audit demonstrates the importance of administering appropriate IV fluid in hip fracture patients to avoid AKI. Improving coordination with Emergency Department and ward nursing/medical ward staff was a critical step in improving our unit’s adherence to policy.


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