Assessment of Hemorrhagic Risk in Maintenance Hemodialysis Population using Different Clinical Tools

Abstract

BACKGROUND: End stage kidney disease (ESKD) patients receiving maintenance hemodialysis (HD) face an elevated bleeding risk. There are the factors such as body mass index (BMI), comorbidities, and medications such as antiplatelet, anticoagulants, and nonsteroidal anti-inflammatory drugs that increase the bleeding risk. The validity of bleeding risk assessment tools in the ESKD population needs to be studied. MATERIALS AND METHODS: This was a prospective, observational study in a HD unit at a tertiary care teaching hospital in Ajman. Sixty adult patients on regular maintenance HD sessions were included in the study. Severity of bleeding was categorized based on the World Health Organization (WHO) classification. Each patient’s risk of bleeding was assessed monthly using 9 different bleeding risk assessment tools (HASBLED, ATRIA, HEMORR2HAGES, ORBIT, IMPROVE, OBRI, S2TOP-BLEED, intracranial-B2 LEED3S, and Glasgow Blatchford Score for gastrointestinal bleeding) for 6 months’ period. Patients were categorized into low- and high-risk groups according to their risk scores. The predictive power of risk assessment tools was assessed by calculating its sensitivity and specificity. Receiver operating characteristic (ROC) curve was plotted, and the area under the curve was estimated for each risk assessment tool. Logistic regression model was also done using the SPSS software version 29. RESULTS: The mean age of the study group was 56 years, and the average BMI was 27 kg/m2. A total of 20 bleeding events were reported among ten patients (16.7%). The WHO category 1 and WHO category 2 bleeding were observed in 15 and 5 bleeding events, respectively. None had category 3 or 4 bleeding. Bleeding risk was found to be associated with ethnicity and obesity but not to other patient demographic factors or medication use. Based on sensitivity, specificity, positive predictive value, negative predictive value, and the area under the ROC curve, HEMORR2HAGES score showed better prediction of bleeding risk compared to the other tools used. CONCLUSION: In conclusion, most of the risk assessment tools showed poor predictive value in the maintenance HD population. Existing bleeding risk tools may not be helpful in dialysis patients. A more valid bleeding risk tool needs to be developed for the ESKD patient population.