scholarly journals Assessment of acute kidney injury risk using a machine-learning guided generalized structural equation model: a cohort study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Wen En Joseph Wong ◽  
Siew Pang Chan ◽  
Juin Keith Yong ◽  
Yen Yu Sherlyn Tham ◽  
Jie Rui Gerald Lim ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
High Risk ◽  
Hospital Mortality ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Injury Risk ◽  
Kidney Injury ◽  
Equation Model ◽  
Surgical Icu ◽  
One Year

Abstract Background Acute kidney injury is common in the surgical intensive care unit (ICU). It is associated with poor patient outcomes and high healthcare resource usage. This study’s primary objective is to help identify which ICU patients are at high risk for acute kidney injury. Its secondary objective is to examine the effect of acute kidney injury on a patient’s prognosis during and after the ICU admission. Methods A retrospective cohort of patients admitted to a Singaporean surgical ICU between 2015 to 2017 was collated. Patients undergoing chronic dialysis were excluded. The outcomes were occurrence of ICU acute kidney injury, hospital mortality and one-year mortality. Predictors were identified using decision tree algorithms. Confirmatory analysis was performed using a generalized structural equation model. Results A total of 201/940 (21.4%) patients suffered acute kidney injury in the ICU. Low ICU haemoglobin levels, low ICU bicarbonate levels, ICU sepsis, low pre-ICU estimated glomerular filtration rate (eGFR) and congestive heart failure was associated with the occurrence of ICU acute kidney injury. Acute kidney injury, together with old age (> 70 years), and low pre-ICU eGFR, was associated with hospital mortality, and one-year mortality. ICU haemoglobin level was discretized into 3 risk categories for acute kidney injury: high risk (haemoglobin ≤9.7 g/dL), moderate risk (haemoglobin between 9.8–12 g/dL), and low risk (haemoglobin > 12 g/dL). Conclusion The occurrence of acute kidney injury is common in the surgical ICU. It is associated with a higher risk for hospital and one-year mortality. These results, in particular the identified haemoglobin thresholds, are relevant for stratifying a patient’s acute kidney injury risk.

scholarly journals The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model

Heliyon ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. e06987
Author(s):  
Azam Toozandehjani ◽  
Zohreh Mahmoodi ◽  
Mitra Rahimzadeh ◽  
Alireza Jashni Motlagh ◽  
Mahnaz Akbari Kamrani ◽  
...  
Keyword(s):  
Health Status ◽  
High Risk ◽  
Risk Behaviors ◽  
Structural Equation Model ◽  
Internet Addiction ◽  
Structural Equation ◽  
Equation Model ◽  
General Health Status ◽  
High Risk Behaviors

Predictors of acute kidney injury in patients after extracorporeal cardiopulmonary resuscitation

Perfusion ◽  
2021 ◽  
pp. 026765912110497
Author(s):  
Christopher Gaisendrees ◽  
Borko Ivanov ◽  
Stephen Gerfer ◽  
Anton Sabashnikov ◽  
Kaveh Eghbalzadeh ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Creatine Kinase ◽  
High Risk ◽  
Cardiopulmonary Resuscitation ◽  
Hospital Mortality ◽  
Hospital Stay ◽  
Kidney Injury ◽  
Dialysis Patients ◽  
Extracorporeal Cardiopulmonary Resuscitation ◽  
Outcome Parameters

Objectives: Extracorporeal cardiopulmonary resuscitation (eCPR) is increasingly used due to its beneficial outcomes and results compared with conventional CPR. Data after eCPR for acute kidney injury (AKI) are lacking. We sought to investigate factors predicting AKI in patients who underwent eCPR. Methods: From January 2016 until December 2020, patients who underwent eCPR at our institution were retrospectively analyzed and divided into two groups: patients who developed AKI ( n = 60) and patients who did not develop AKI ( n = 35) and analyzed for outcome parameters. Results: Overall, 63% of patients suffered AKI after eCPR and 45% of patients who developed AKI needed subsequent dialysis. Patients who developed AKI showed higher values of creatinine (1.1 mg/dL vs 1.5 mg/dL, p ⩽ 0.01), urea (34 mg/dL vs 42 mg/dL, p = 0.04), CK (creatine kinase) (923 U/L vs 1707 U/L, p = 0.07) on admission, and CK after 24 hours of ECMO support (1705 U/L vs 4430 U/L, p = 0.01). ECMO explantation was significantly more often performed in patients who suffered AKI (24% vs 48%, p = 0.01). In-hospital mortality (86% vs 70%; p = 0.07) did not differ significantly. Conclusion: Patients after eCPR are at high risk for AKI, comparable to those after conventional CPR. Baseline urea levels predict the development of AKI during the hospital stay.

scholarly journals Risk factors for acute kidney injury among patients with rhabdomyolysis

2020 ◽  
Author(s):  
Jia Yang ◽  
Jiaojiao Zhou ◽  
Xin Wang ◽  
Siwen Wang ◽  
Yi Tang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
High Risk ◽  
Hospital Mortality ◽  
Laboratory Data ◽  
Elevated Serum ◽  
Kidney Injury ◽  
Chronic Alcoholism ◽  
Multiple Organ ◽  
Bee Sting

Abstract Background Acute kidney injury (AKI) is a life-threatening complication of rhabdomyolysis (RM). The aim of the present study was to assess patients at high risk for the occurrence of AKI defined by the Kidney Disease Improving Global Outcomes criteria and in-hospital mortality. Methods We performed a retrospective study of patients with creatine kinase levels >1000 U/L, who were admitted to the West China Hospital of Sichuan University between January 2011 and March 2019. The sociodemographic, clinical and laboratory data of these patients were obtained from an electronic medical records database, and univariate and multivariate regression analyses were subsequently conducted. Results For the 329 patients included in our study, the incidence of AKI was 61.4%, and the overall mortality rate was 19.8%; furthermore, patients with AKI tended to have higher mortality rates than those without AKI (24.8% vs. 11.8%; P<0.01). The clinical conditions most frequently associated with RM were trauma (28.3%), sepsis (14.6%), bee sting (12.8%), thoracic and abdominal surgery (11.2%) and exercise (7.0%). Furthermore, patients with RM resulting from sepsis, bee sting and acute alcoholism were more susceptible to AKI. The risk factors for the occurrence of AKI among RM patients included age ≥60 years (OR=3.070), chronic alcoholism (OR=3.256), hypertension (OR=4.252), multiple organ dysfunction syndrome (MODS; OR=7.244), high levels of white blood cell count (OR=1.047) and elevated serum phosphorus (OR=5.526). Age ≥60 years (OR=3.188), MODS (OR=2.262), diabetes (OR=2.746) and elevated prothrombin time (OR=1.079) were independent risk factors for in-hospital mortality in RM patients with AKI. Conclusions AKI is independently associated with mortality in patients with RM, and several risk factors were found to be associated with the occurrence of AKI and in-hospital mortality. These findings suggest that, to improve the quality of medical care, the early prevention of AKI should focus on high-risk patients and more effective management.

Outcome of dialysis-requiring acute kidney injury in patients with infective endocarditis: A nationwide study

2020 ◽  
Author(s):  
Jeppe Kofoed Petersen ◽  
Andreas Dalsgaard Jensen ◽  
Niels Eske Bruun ◽  
Anne-Lise Kamper ◽  
Jawad Haider Butt ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Infective Endocarditis ◽  
Hospital Mortality ◽  
Kidney Injury ◽  
Valve Surgery ◽  
Cardiac Valve ◽  
Post Discharge ◽  
Dialysis Treatment ◽  
Cardiac Valve Surgery ◽  
One Year

Abstract Background Infective endocarditis (IE) may be complicated by acute kidney injury, yet data on the use of dialysis and subsequent reversibility are sparse. Methods Using Danish nationwide registries, we identified patients with first-time IE from 2000 to 2017. Dialysis naïve patients were grouped into: those with and those without dialysis during admission with IE. Continuation of dialysis was followed one year post-discharge. Multivariable adjusted Cox proportional hazard analysis was used to examine one-year mortality for patients surviving IE according to use of dialysis. Results We included 7,307 patients with IE; 416 patients (5.7%) initiated dialysis treatment during admission with IE and these were younger, had more comorbidities and more often underwent cardiac valve surgery compared with non-dialysis patients (47.4% vs. 20.9%). In patients with both cardiac valve surgery and dialysis treatment (n=197), 153 (77.7%) initiated dialysis on- or after the date of surgery. The in-hospital mortality was 40.4% and 19.0% for patients with and without dialysis, respectively (p&lt;0.0001). Of those who started dialysis and survived hospitalization, 21.6% continued dialysis treatment within one year after discharge. In multivariable adjusted analysis, dialysis during admission with IE was associated with an increased one-year mortality from IE discharge, HR=1.64 (95% CI: 1.21-2.23). Conclusion In dialysis-naïve patients with IE, approximately 1 in 20 patients initiated dialysis treatment during admission with IE. Dialysis identified a high-risk group with an in-hospital mortality of 40% and an approximately 20% risk of continued dialysis. Those with dialysis during admission with IE showed worse long-term outcomes than those without.

scholarly journals Occupational Burnout Among Frontline Health Professionals in a High-Risk Area During the COVID-19 Outbreak: A Structural Equation Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Dan Li ◽  
YuanYuan Wang ◽  
Hui Yu ◽  
Zhizhou Duan ◽  
Ke Peng ◽  
...  
Keyword(s):  
High Risk ◽  
Structural Equation Model ◽  
Emotional Exhaustion ◽  
Health Professionals ◽  
Structural Equation ◽  
Maslach Burnout Inventory ◽  
Equation Model ◽  
Occupational Burnout ◽  
Professional Efficacy ◽  
Significant Difference

Background: The outbreak of coronavirus disease 2019 (COVID-19) resulted in a substantial workload and stress for frontline health professionals in high-risk areas. Little research has investigated the mechanism of occupational burnout among the frontline health professionals located in the center of the epidemic in Wuhan, China.Methods: A total of 199 frontline health professionals from Wuhan Jinyintan Hospital completed the cross-sectional survey. Mechanisms of occupational burnout (according to the Maslach Burnout Inventory–General Survey, MBI-GS) among the health professionals in Jinyintan Hospital during the COVID-19 outbreak were examined using a structural equation model (SEM).Results: The levels of the three burnout dimensions (emotional exhaustion, cynicism, and professional efficacy) were high at 34.2, 50.8, and 35.2%, respectively. Frontline health professionals in this stressful period reported significantly greater emotional exhaustion (p &lt; 0.001) and job-related cynicism (p &lt; 0.001), but no significant difference in professional efficacy (p = 0.449), when compared to employees in a large multinational company. The SEM results revealed that both acute stress symptoms and psychosomatic symptoms significantly predicted the emotional exhaustion and occupation cynicism dimensions of burnout.Conclusion: The study reveals the occupational burnout mechanism of frontline health professionals during the COVID-19 peak at the time of the outbreak. This study provides an important contribution to understanding the future psychological interventions necessary for frontline health professionals during an epidemic crisis.

scholarly journals In-hospital and one-year mortality among patients with acute kidney injury and hematological malignancies

2021 ◽  
Vol 35 (1) ◽  
pp. 11-17
Author(s):  
Inês Coelho ◽  
◽  
Teresa Chuva ◽  
Hugo Ferreira ◽  
Ana Paiva ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Hematological Malignancies ◽  
Invasive Mechanical Ventilation ◽  
Kidney Injury ◽  
Hospital Death ◽  
Non Hodgkin Lymphoma ◽  
Hospital Patients ◽  
Observational Cohort ◽  
One Year

Hematological malignancies (HM) confer a high risk of acute kidney injury (AKI), which is associated with elevated morbi-mortality. The aim of this study was to identify the prognostic factors for in-hospital mortality and one-year mortality in this population. We conducted a single center, retrospective, observational cohort study of 101 in-hospital patients with AKI and HM between January 2015 and December 2019. Multiple myeloma was present in 30.7% of the patients, followed by non-Hodgkin lymphoma (NHL) in 27.7%. Renal support therapy (RST) was needed in 60.4% of the cases. Independent predictors for in-hospital mortality were invasive mechanical ventilation (IMV) (OR 49.53; 95% CI:9.17 – 267.57; P<0.001) and infection during in-hospital stay (IDHS) (OR 5.09; 95% CI:1.18 – 21.89; P=0.029). Predictors for one-year mortality were NHL (HR 2.88; 95% CI:1.54 – 5.39; P=0.001), tumor progression (HR 2.36; 95% CI:1.29 – 4.32; P=0.006) and IMV (HR 6.38; 95% CI:3.50 – 11.64; P<0.001). Higher albumin levels at AKI diagnosis conferred a better prognosis (HR 0.57; 95% CI:0.35 – 0.91; P=0.020). Our model showed that patients with HM and AKI who were submitted to IMV and had IDHS had a probability of in-hospital death of 96%. Albumin at the time of AKI influenced one-year mortality.

Abstract 15752: Acute Kidney Injury and Shock Severity for Mortality Risk Stratification in Cardiac Intensive Care Unit Patients

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Mitchell R Padkins ◽  
Thomas Breen ◽  
Gregory W Barsness ◽  
Kianoush Kashani ◽  
Jacob C Jentzer
Keyword(s):  
Intensive Care Unit ◽  
Acute Kidney Injury ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Mortality Risk ◽  
Kidney Injury ◽  
Cardiac Intensive Care Unit ◽  
Severe Stage ◽  
Cardiac Intensive Care ◽  
One Year

Introduction: Acute kidney injury (AKI) is a highly prevalent risk factor for mortality among patients with cardiogenic shock (CS). We sought to assess the incidence and prognostic relevance of AKI as a function of shock severity in unselected Cardiac Intensive Care Unit (CICU) patients, as measured by the Society for the Cardiovascular Angiography and Interventions (SCAI) shock stage. Methods: We retrospectively reviewed admissions to the Mayo Clinic from 2007 to 2015 and stratified patients by the SCAI shock stage. AKI was defined and staged based on changes in serum creatinine during hospitalization as per KDIGO guidelines. Predictors of in-hospital mortality were analyzed using Kaplan-Meier survival analysis, and one-year mortality was analyzed using Cox proportional-hazards analysis. Results: The final study population included 10,004 unique patients with a mean age of 67 years and 37% females. The percentage of patients with SCAI shock stages A, B, C, D, and E were 47%, 30%, 15%, 7%, and 1%, respectively. AKI of any severity occurred in 51% of patients during hospitalization, including severe (stage 2/3) AKI in 16%. The incidence of AKI and severe AKI increased with the SCAI shock stage. Hospital mortality occurred in 8% of patients and increased as a function of the AKI stage and SCAI shock stage. AKI was associated with increased hospital mortality after multivariable adjustment (adjusted OR per AKI stage 1.17, 95% CI 1.05-1.30, p=0.005). Twenty-one percent of patients died within one year of CICU admission, and worse AKI was associated with increased one-year mortality (adjusted HR per AKI stage 1.11, 95% CI 1.05-1.18, p=<0.001). Hospital survivors with AKI of any severity had higher mortality compared with patients who did not have AKI (p<0.001). Conclusions: AKI was increasingly common in CICU patients with higher shock severity. In-hospital and one-year mortality risk increased as a function of the severity of AKI and the SCAI shock stage. This analysis emphasizes the importance of AKI as a complication of shock and as a predictor of adverse outcomes in CICU patients.

scholarly journals Risk factors for severe acute kidney injury among patients with rhabdomyolysis

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Jia Yang ◽  
Jiaojiao Zhou ◽  
Xin Wang ◽  
Siwen Wang ◽  
Yi Tang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
High Risk ◽  
Hospital Mortality ◽  
Laboratory Data ◽  
Elevated Serum ◽  
Density Lipoprotein ◽  
Kidney Injury ◽  
Stage Ii ◽  
Bee Sting

Abstract Background Acute kidney injury (AKI) is a life-threatening complication of rhabdomyolysis (RM). The aim of the present study was to assess patients at high risk for the occurrence of severe AKI defined as stage II or III of KDIGO classification and in-hospital mortality of AKI following RM. Methods We performed a retrospective study of patients with creatine kinase levels > 1000 U/L, who were admitted to the West China Hospital of Sichuan University between January 2011 and March 2019. The sociodemographic, clinical and laboratory data of these patients were obtained from an electronic medical records database, and univariate and multivariate regression analyses were subsequently conducted. Results For the 329 patients included in our study, the incidence of AKI was 61.4% and the proportion of stage I, stage II, stage III were 18.8, 14.9 and 66.3%, respectively. The overall mortality rate was 19.8%; furthermore, patients with AKI tended to have higher mortality rates than those without AKI (24.8% vs. 11.8%; P < 0.01). The clinical conditions most frequently associated with RM were trauma (28.3%), sepsis (14.6%), bee sting (12.8%), thoracic and abdominal surgery (11.2%) and exercise (7.0%). Furthermore, patients with RM resulting from sepsis, bee sting and acute alcoholism were more susceptible to severe AKI. The risk factors for the occurrence of stage II-III AKI among RM patients included hypertension (OR = 2.702), high levels of white blood cell count (OR = 1.054), increased triglycerides (OR = 1.260), low level of high-density lipoprotein cholesterol (OR = 0.318), elevated serum phosphorus (OR = 5.727), 5000<CK ≤ 10,000 U/L (OR = 2.617) and CK>10,000 U/L (OR = 8.093). Age ≥ 60 years (OR = 2.946), sepsis (OR = 3.206) and elevated prothrombin time (OR = 1.079) were independent risk factors for in-hospital mortality in RM patients with AKI. Conclusions AKI is independently associated with mortality in patients with RM, and several risk factors were found to be associated with the occurrence of severe AKI and in-hospital mortality. These findings suggest that, to improve the quality of medical care, the early prevention of AKI should focus on high-risk patients and more effective management.

scholarly journals Risk factors for acute kidney injury among patients with rhabdomyolysis

2020 ◽  
Author(s):  
Jia Yang ◽  
Jiaojiao Zhou ◽  
Xin Wang ◽  
Siwen Wang ◽  
Yi Tang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
High Risk ◽  
Hospital Mortality ◽  
Laboratory Data ◽  
Elevated Serum ◽  
Kidney Injury ◽  
Chronic Alcoholism ◽  
Multiple Organ ◽  
Bee Sting

Abstract Background: Acute kidney injury (AKI) is a life-threatening complication of rhabdomyolysis (RM). The aim of the present study was to assess patients at high risk for the occurrence of AKI defined by the Kidney Disease Improving Global Outcomes criteria and in-hospital mortality. Methods: We performed a retrospective study of patients with creatine kinase levels >1000 U/L, who were admitted to the West China Hospital of Sichuan University between January 2011 and March 2019. The sociodemographic, clinical and laboratory data of these patients were obtained from an electronic medical records database, and univariate and multivariate regression analyses were subsequently conducted. Results: For the 329 patients included in our study, the incidence of AKI was 61.4%, and the overall mortality rate was 19.8%; furthermore, patients with AKI tended to have higher mortality rates than those without AKI (24.8% vs. 11.8%; P<0.01). The clinical conditions most frequently associated with RM were trauma (28.3%), sepsis (14.6%), bee sting (12.8%), thoracic and abdominal surgery (11.2%) and exercise (7.0%). Furthermore, patients with RM resulting from sepsis, bee sting and acute alcoholism were more susceptible to AKI. The risk factors for the occurrence of AKI among RM patients included age ≥60 years (OR=3.070), chronic alcoholism (OR=3.256), hypertension (OR=4.252), multiple organ dysfunction syndrome (MODS; OR=7.244), high levels of white blood cell count (OR=1.047) and elevated serum phosphorus (OR=5.526). Age ≥60 years (OR=3.188), MODS (OR=2.262), diabetes (OR=2.746) and elevated prothrombin time (OR=1.079) were independent risk factors for in-hospital mortality in RM patients with AKI. Conclusions: AKI is independently associated with mortality in patients with RM, and several risk factors were found to be associated with the occurrence of AKI and in-hospital mortality. These findings suggest that, to improve the quality of medical care, the early prevention of AKI should focus on high-risk patients and more effective management.

Sign in / Sign up

Export Citation Format

Share Document