scholarly journals Augmented renal clearance: a retrospective, cohort study of urinary creatinine clearance in critically ill patients in the United Kingdom

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110155
Author(s):  
Brian W Johnston ◽  
David Perry ◽  
Martyn Habgood ◽  
Miland Joshi ◽  
Anton Krige
Keyword(s):  
Risk Factors ◽  
United Kingdom ◽  
Creatinine Clearance ◽  
Renal Clearance ◽  
Repeated Measures ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Augmented Renal Clearance ◽  
Urinary Creatinine ◽  
The United Kingdom

Objective Augmented renal clearance (ARC) is associated with sub-therapeutic antibiotic, anti-epileptic, and anticoagulant serum concentrations leading to adverse patient outcomes. We aimed to describe the prevalence and associated risk factors for ARC development in a large, single-centre cohort in the United Kingdom. Methods We conducted a retrospective observational study of critically unwell patients admitted to intensive care between 2014 and 2016. Urinary creatinine clearance was used to determine the ARC prevalence during the first 7 days of admission. Repeated measures logistic regression was used to determine risk factors for ARC development. Results The ARC prevalence was 47.0% (95% confidence interval [95%CI]: 44.3%–49.7%). Age, sex, Acute Physiology and Chronic Health Evaluation (APACHE) II score, and sepsis diagnosis were significantly associated with ARC. ARC was more prevalent in younger vs. older (odds ratio [OR] 0.95 [95%CI: 0.94–0.96]), male vs. female (OR 0.32 [95%CI: 0.26–0.40]) patients with lower vs. higher APACHE II scores (OR 0.94 [95%CI: 0.92–0.96]). Conclusions This patient group probably remains unknown to many clinicians because measuring urinary creatinine clearance is not usually indicated in this group. Clinicians should be aware of the ARC risk in this group and consider measurement of urinary creatinine clearance.

Prevalence and Risk Factors for Augmented Renal Clearance in a Population of Critically Ill Patients

2018 ◽  
Vol 35 (10) ◽  
pp. 1044-1052 ◽  
Author(s):  
João Pedro Baptista ◽  
Paulo Jorge Martins ◽  
Margarida Marques ◽  
Jorge Manuel Pimentel
Keyword(s):  
Risk Factors ◽  
Creatinine Clearance ◽  
Renal Clearance ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Augmented Renal Clearance ◽  
Saps Ii ◽  
Male Sex

Background: Critically ill patients show a high, albeit variable, prevalence of augmented renal clearance (ARC). This condition has relevant consequences on the elimination of hydrophilic drugs. Knowledge of risk factors for ARC helps in the early identification of ARC. The aims of this study were evaluation of (1) risk factors for ARC and (2) the prevalence of ARC in critically ill patients over a period of 1 year. Methods: A retrospective cohort study was performed for all consecutive patients admitted to our intensive care unit (ICU). Augmented renal clearance was defined by a creatinine clearance ≥130 mL/min/1.73 m2. “Patient with ARC” was defined as a patient with a median of creatinine clearance ≥130 mL/min/1.73 m2 over the period of admission. Four variables were tested, Simplified Acute Physiology Score II (SAPS II), male gender, age, and trauma as cause for ICU admission. An analysis (patient based and clearance based) was performed with logistic regression. Results: Of 475 patients, 446 were included in this study, contributing to 454 ICU admissions and 5586 8-hour creatinine clearance (8h-CLCR). Overall, the prevalence of patients with ARC was 24.9% (n = 113). In a subset of patients with normal serum creatinine levels, the prevalence was 43.0% (n = 104). Of the set of all 8h-CLCR measurements, 25.4% (1418) showed ARC. In the patient-based analysis, the adjusted odds ratio was: 2.0 (confidence interval [CI]:1.1-3.7; P < .05), 0.93 (CI: 0.91-0.94; P < .01), 2.7 (CI: 1.4-5.3; P < .01), and 0.98 (CI: 0.96 -1.01; P = .15), respectively, for trauma, age, male sex, and SAPS II. In the clearance-based analysis, the adjusted odds ratio were 1.7 (CI: 1.4-1.9; P < .01), 0.94 (CI: 0.932-0.942; P < .01), and 2.9 (CI: 2.4-3.4; P < .01), respectively, for trauma, age, and male sex. Conclusions: Trauma, young age, and male sex were independent risk factors for ARC. This condition occurs in a considerable proportion of critical care patients, which was particularly prevalent in patients without evidence of renal dysfunction.

scholarly journals Augmented Renal Clearance in Critically Ill Patients with Sepsis: Prevalence, Risk Factors and Outcome

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Shahir Asraf bin Abdul Rahim ◽  
Azrina Md Ralib ◽  
Abdul Hadi Mohamad ◽  
Ariff Osman ◽  
Mohd Basri Mat Nor
Keyword(s):  
Risk Factors ◽  
Cardiac Index ◽  
Creatinine Clearance ◽  
Renal Clearance ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Prospective Observational Study ◽  
Estimated Glomerular Filtration Rate ◽  
Inclusion Criteria ◽  
Augmented Renal Clearance

Introduction: Augmented renal clearance (ARC) is a phenomenon where there is elevated renal clearance and defined by creatinine clearance more than 130ml/min. ARC results in changes of the pharmacokinetic and pharmacodynamic of antimicrobial therapy being administered, which may result in its subtherapeutic dose. We evaluated the prevalence, risk factors and outcome of ARC in critically ill patients with sepsis. Materials and method: This is an interim analysis of single centre, prospective observational study of critically ill patients. Inclusion criteria were patients older than 18 years old with sepsis with plasma creatinine less than 130 µmol/l. Urinary creatinine and flow rate were measured and creatinine clearance (CrCl) calculated.ARC is defined as CrCl of more 130 ml/min. Ultrasonic cardiac output montoring (USCOM) was used to measure cardiac index. Results: Nineteen patients were analysed so far, of which 11 (57.9%) had ARC. There were no differences age, gender, or category of patients between patients with and without ARC. Baseline APACHE II and SOFA score were similar in the two groups (p=0.47 and 0.06, respectively).There was no difference in the hospital mortality (p=0.86). However, duration of ICU admission amongst survivors was longer in patients with ARC (10 (5-12) vs 4 (3-5) days, p=0.04). Of the 11 with ARC, 7 persisted to day 2. Measured creatinine clearance correlated well with the estimated glomerular filtration rate (r=0.68, p<0.0001), however it did not correlate with cardiac index (r=0.40, p=0.14). Conclusion: ARC occurs in almost half of critically ill patients with sepsis, and is associated with longer duration of ICU stay. However, there was no difference in the outcome in this small study. Future larger study may be important to investigate this.

scholarly journals Augmented Renal Clearance in Critically Ill Patients in Malaysian Intensive Care Unit: Assessment of Prevalence, Risk Factors and Outcomes

2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Shahir Asraf b Abdul Rahim ◽  
Azrina Md Ralib
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Creatinine Clearance ◽  
Renal Clearance ◽  
Critically Ill ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Plasma Creatinine ◽  
Augmented Renal Clearance ◽  
Younger Age

Introduction: Augmented renal clearance (ARC) is a phenomenon where there is elevated renal clearance and defined by creatinine clearance >130ml/min. ARC results in changes of the pharmacokinetic and pharmacodynamic of antimicrobial therapy being administered resulting in its subtherapeutic dose. We evaluated the prevalence, risk factors and outcome of ARC in critically ill patients in two Intensive Care Units (ICU) in Kuantan. Materials and Methods: This was a two centre, prospective observational study of critically ill patients. Inclusion criteria were patients older than 15 years old with plasma creatinine <130µmol/l, with arterial line and urinary catheter inserted. The creatinine clearance (CrCl) were measured using plasma creatinine, urinary creatinine and urinary flow rate. ARC is defined as CrCl of more 130ml/min. Results: Among 102 patients recruited, 57 (55.9%) had ARC. Those with younger age (39.9±19 years old, p=0.013) and lower SOFA score (2.8±2.6, p=0.012) had increased risk of developing ARC. No significant difference in other risk factors such as male and trauma were found. There was no difference in the ICU and hospital mortality (p=0.652 and p=0.128). There was also no difference in the duration of ICU admission amongst survivors with or without ARC (100.6±142.3). Measured CrCl correlated well with the estimated glomerular filtration rate (eGFR) using all four different eGFR equations (r=0.436 to 0.552, p<0.0001). Conclusion: ARC occurs in almost half of critically ill patients and more common in younger age and lower SOFA score. However, there was no difference in the outcome. eGFR may be used as surrogate in detecting ARC.

scholarly journals Patients With Perforated Peptic Ulcers: Risk Factors for Morbidity and Mortality

2019 ◽  
Vol 103 (11-12) ◽  
pp. 578-584
Author(s):  
Fatih Ciftci ◽  
Fazilet Erözgen
Keyword(s):  
Risk Factors ◽  
Peptic Ulcer ◽  
Postoperative Period ◽  
Perforated Peptic Ulcer ◽  
Apache Ii ◽  
Morbidity And Mortality ◽  
Apache Ii Score ◽  
Peptic Ulcers ◽  
Presentation Time ◽  
Independent Risk Factors

Perforated peptic ulcers continue to be an important problem in surgical practice. In this study, risk factors for peptic ulcer perforation-associated mortality and morbidity were evaluated. This is a retrospective study of patients surgically treated for perforated peptic ulcer over a decade (March 1999–December 2014). Patient age, sex, complaints at presentation, time lapse between onset of complaints and presentation to the hospital, physical findings, comorbidities, laboratory and imaging findings, length of hospitalization, morbidity, and mortality were recorded. The Mannheim peritonitis index (MPI) and Acute Physiology and Chronic Health Evaluation (APACHE) II score were calculated and recorded for each patient on admission to the hospital. Of the 149 patients, mean age was 50.6 ± 19 years (range: 17–86). Of these, 129 (86.5%) were males and 20 (13.4%) females. At least 1 comorbidity was found in 42 (28.1%) of the patients. Complications developed in 36 (24.1%) of the patients during the postoperative period. The most frequent complication was wound site infection. There was mortality in 26 (17.4%) patients and the most frequent cause of mortality was sepsis. Variables that were found to have statistically significant effects on morbidity included age older than 60 years, presence of comorbidities, and MPI (P = 0.029, 0.013, and 0.013, respectively). In a multivariate analysis, age older than 60 years, presence of comorbidities, and MPI were independent risk factors that affected morbidity. In the multivariate logistic regression analysis, age older than 60 years [P = 0.006, odds ratio (OR) = 5.99, confidence interval (CI) = 0.95] and comorbidities (OR = 2.73, CI = 0.95) were independent risk factors that affected morbidity. MPI and APACHE II scoring were both predictive of mortality. Age older than 60, presentation time, and MPI were independent risk factors for mortality. Undelayed diagnosis and appropriate treatment are of the utmost importance when presenting with a perforated peptic ulcer. We believe close observation of high-risk patients during the postoperative period may decrease morbidity and mortality rates.

scholarly journals Risk factors for mortality in critically ill patients with COVID-19: a multicenter retrospective case-control study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jinghua Gao ◽  
Li Zhong ◽  
Ming Wu ◽  
Jingjing Ji ◽  
Zheying Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Organ Failure ◽  
Critically Ill ◽  
Sofa Score ◽  
Lymphocyte Count ◽  
Cox Regression ◽  
Survival Curve ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Hospital Death

Abstract Background Coronavirus disease 2019 (COVID-19) has spread around the world, until now, the number of positive and death cases is still increasing. Therefore, it remains important to identify risk factors for death in critically patients. Methods We collected demographic and clinical data on all severe inpatients with COVID-19. We used univariable and multivariable Cox regression methods to determine the independent risk factors related to likelihood of 28-day and 60-day survival, performing survival curve analysis. Results Of 325 patients enrolled in the study, Multi-factor Cox analysis showed increasing odds of in-hospital death associated with basic illness (hazard ratio [HR] 6.455, 95% Confidence Interval [CI] 1.658–25.139, P = 0.007), lymphopenia (HR 0.373, 95% CI 0.148–0.944, P = 0.037), higher Sequential Organ Failure Assessment (SOFA) score on admission (HR 1.171, 95% CI 1.013–1.354, P = 0.033) and being critically ill (HR 0.191, 95% CI 0.053–0.687, P = 0.011). Increasing 28-day and 60-day mortality, declining survival time and more serious inflammation and organ failure were associated with lymphocyte count < 0.8 × 109/L, SOFA score > 3, Acute Physiology and Chronic Health Evaluation II (APACHE II) score > 7, PaO2/FiO2 < 200 mmHg, IL-6 > 120 pg/ml, and CRP > 52 mg/L. Conclusions Being critically ill and lymphocyte count, SOFA score, APACHE II score, PaO2/FiO2, IL-6, and CRP on admission were associated with poor prognosis in COVID-19 patients.

scholarly journals Influencing Factors and Prevention of Sepsis or Acute Kidney Injury in 85 Patients with Severe Trauma

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Hong Zhang ◽  
Dan Chen ◽  
Lihua Wang ◽  
Bing Li
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Influencing Factors ◽  
Severe Trauma ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Trauma Patients ◽  
Risk Of Death ◽  
Disturbance Of Consciousness ◽  
Prevention And Treatment

Severe trauma can cause systemic reactions, leading to massive bleeding, shock, asphyxia, and disturbance of consciousness. At the same time, patients with severe trauma are at high risk of sepsis and acute renal injury. The occurrence of complications will increase the difficulty of clinical treatment, improve the mortality rate, and bring heavy physical and mental burdens and economic pressure to patients and their families. It is of great clinical significance to understand the high risk factors of sepsis and AKI and actively formulate prevention and treatment measures. In this study, the clinical data of 85 patients with severe trauma were analyzed by univariate and multivariate logistic regression to identify the risk factors leading to sepsis or AKI and analyze the prevention and treatment strategies. The results showed that multiple injuries, APACHE II score on admission, SOFA score on admission, and mechanical ventilation were independent influencing factors of sepsis in patients with severe trauma, while hemorrhagic shock, APACHE II score on admission, CRRT, and sepsis were independent influencing factors of AKI in patients with severe trauma. Severe trauma patients complicated with sepsis or AKI will increase the risk of death. In the course of treatment, prevention and intervention should be given as far as possible to reduce the incidence of complications.

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