Abdelaleem, A., Abozead, S., El Tyeb, H., Desoky, A. (2025). Risk Factors of Bleeding among Patients with Acute Leukemia. Assiut Scientific Nursing Journal, 13(52), 164-174. doi: 10.21608/asnj.2025.387698.2095
Asmaa Rafat Abdelaleem; Shalabia El-Sayed Abozead; Hanan Ahmed El Tyeb; Amna Abdallah Desoky. "Risk Factors of Bleeding among Patients with Acute Leukemia". Assiut Scientific Nursing Journal, 13, 52, 2025, 164-174. doi: 10.21608/asnj.2025.387698.2095
Abdelaleem, A., Abozead, S., El Tyeb, H., Desoky, A. (2025). 'Risk Factors of Bleeding among Patients with Acute Leukemia', Assiut Scientific Nursing Journal, 13(52), pp. 164-174. doi: 10.21608/asnj.2025.387698.2095
Abdelaleem, A., Abozead, S., El Tyeb, H., Desoky, A. Risk Factors of Bleeding among Patients with Acute Leukemia. Assiut Scientific Nursing Journal, 2025; 13(52): 164-174. doi: 10.21608/asnj.2025.387698.2095
Risk Factors of Bleeding among Patients with Acute Leukemia
1Nursing Specilalist at South Eygpt Cancer Institute, Egypt.
2Professor of Medical-Surgical Nursing, Faculty of Nursing, Assiut University, Egypt.
3Assistant Professor Medical Oncology, South Egypt Cancer Institute, Assiut University, Egypt.
4Assistant Professor Medical-Surgical Nursing, Faculty of Nursing, Assiut University, Egypt.
Abstract
Background: Patients with acute leukemia are at high risk for bleeding. Early recognizing these risk factors is crucial for preventing serious complications. Aim: To identify the risk factors of bleeding among patients with acute leukemia Design: Descriptive exploratory research design. Subjects and setting: Seventy-six 76 patients with acute leukemia admitted in Medical Oncology Department at South Egypt Cancer Institute. Tools: Tool (I): Patient assessment sheet; (1): Demographic data, (2): Clinical data, (3): Bleeding risk factors, (4): Laboratory investigations and tool (II): WHO bleeding scale. Results: Revealed the mean age of studied patients was 40.22 years, (60.5%) were males, (60.5%) diagnosed with AML. Fatigue (73.7%) and fever (71.1%) were the most commonly reported symptoms. According to WHO bleeding scale, The majority of patients categorized as grade 2 (44.7%) followed by grade 0 (32.9%) and grade 3 was (22.4%). Factors such as hypertension, diabetes mellitus, previous history of bleeding, thrombocytopenia, disseminated intravascular coagulation and smoking showed statistically significant relationship with higher WHO bleeding grades (p < 0.5) Conclusion: The bleeding severity in acute leukemia patients was significantly associated with factors such as prior bleeding, hypertension, diabetes, smoking, thrombocytopenia, and disseminated intravascular coagulation, highlighting the importance of early identification and management of these risks. Recommendations: The critical importance of early identification and proactive management to prevent bleeding severity in acute leukemia patients and improve patient outcomes.
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