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1.
Semin Dial ; 34(4): 300-308, 2021 07.
Article in English | MEDLINE | ID: mdl-33556204

ABSTRACT

Polyethyleneimine-layered membrane with grafted heparin (oXiris) may improve filter life during continuous renal replacement therapy (CRRT) in addition to its immunoadsorptive capability, compared with that of conventional membrane. In this single center, prospective, open-label pilot study, we randomized critically ill patients with bleeding risk who underwent anticoagulation-free CRRT, to commence with oXiris or M150 filter with sequential crossover. We examined the filter life with each circuit and its effect on systemic coagulation parameters. We randomized 11 and nine patients to commence CRRT with oXiris and M150 respectively, with 19 oXiris and 20 M150 filter-circuits in all. Patient profiles in both arms were comparable for illness severity and comorbidities. Median filter lives for oXiris versus M150 circuits were 13 h versus 18 h (p = 0.10). Among 11 patients with paired crossover filters, filter lives for 14 oXiris-M150 circuit pairs were 13 h versus 16 h (p = 0.27), and corresponding transmembrane pressures increased to 111 mmHg versus 75 mmHg by 12 h (p = 0.02). Patients' coagulation parameters were comparable following both filter-circuits. CRRT with oXiris (vs. M150) was independently associated with shorter filter life, adjusted for prescribed dose, vascular access, and coagulopathy. Use of oXiris did not prolong filter life over conventional membrane with no evidence of systemic heparin exposure; significant membrane clogging is observed by 12 h with oXiris.


Subject(s)
Acute Kidney Injury , Continuous Renal Replacement Therapy , Acute Kidney Injury/etiology , Acute Kidney Injury/therapy , Anticoagulants/adverse effects , Heparin/adverse effects , Humans , Pilot Projects , Prospective Studies , Renal Dialysis/adverse effects , Renal Replacement Therapy/adverse effects
2.
BMC Nephrol ; 20(1): 32, 2019 01 31.
Article in English | MEDLINE | ID: mdl-30704418

ABSTRACT

BACKGROUND: Electronic health records (EHR) detect the onset of acute kidney injury (AKI) in hospitalized patients, and may identify those at highest risk of mortality and renal replacement therapy (RRT), for earlier targeted intervention. METHODS: Prospective observational study to derive prediction models for hospital mortality and RRT, in inpatients aged ≥18 years with AKI detected by EHR over 1 year in a tertiary institution, fulfilling modified KDIGO criterion based on serial serum creatinine (sCr) measures. RESULTS: We studied 3333 patients with AKI, of 77,873 unique patient admissions, giving an AKI incidence of 4%. KDIGO AKI stages at detection were 1(74%), 2(15%), 3(10%); corresponding peak AKI staging in hospital were 61, 20, 19%. 392 patients (12%) died, and 174 (5%) received RRT. Multivariate logistic regression identified AKI onset in ICU, haematological malignancy, higher delta sCr (sCr rise from AKI detection till peak), higher serum potassium and baseline eGFR, as independent predictors of both mortality and RRT. Additionally, older age, higher serum urea, pneumonia and intraabdominal infections, acute cardiac diseases, solid organ malignancy, cerebrovascular disease, current need for RRT and admission under a medical specialty predicted mortality. The AUROC for RRT prediction was 0.94, averaging 0.93 after 10-fold cross-validation. Corresponding AUROC for mortality prediction was 0.9 and 0.9 after validation. Decision tree analysis for RRT prediction achieved a balanced accuracy of 70.4%, and identified delta-sCr ≥ 148 µmol/L as the key factor that predicted RRT. CONCLUSION: Case fatality was high with significant renal deterioration following hospital-wide AKI. EHR clinical model was highly accurate for both RRT prediction and for mortality; allowing excellent risk-stratification with potential for real-time deployment.


Subject(s)
Acute Kidney Injury/therapy , Electronic Health Records , Hospital Records , Renal Replacement Therapy , Acute Kidney Injury/blood , Acute Kidney Injury/diagnosis , Acute Kidney Injury/mortality , Aged , Area Under Curve , Biomarkers , Comorbidity , Creatinine/blood , Disease Progression , Female , Hospital Mortality , Humans , Inpatients , Male , Middle Aged , Prognosis , Prospective Studies , ROC Curve , Risk Assessment , Severity of Illness Index , Singapore/epidemiology , Tertiary Care Centers/statistics & numerical data
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