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Value of the Preoperative Prognostic Nutritional Index in Ovarian Cancer
Faculty
Medicine
Year:
2024
Type of Publication:
ZU Hosted
Pages:
Authors:
Rasha Mohamed Mostafa Hagag
Staff Zu Site
Abstract In Staff Site
Journal:
Zagazig University Medical Journal Zagazig University Medical Journal
Volume:
Keywords :
Value , , Preoperative Prognostic Nutritional Index , Ovarian
Abstract:
In the United States, ovarian cancer (OC) accounts for the majority of gynecologic cancer mortality (19,710 new cases and 13,270 deaths in 2023). Fewer than 40% of afflicted women will have a cure, and new research indicates that pelvic inflammatory illness and hormone therapy may raise the risk of OC. Aims and objectives To evaluate the importance of preoperative PNI in ovarian cancer. To assess retrospectively association between preoperative Prognostic Nutritional Index and prognosis in patients with ovarian cancer, and to evaluate its important on disease free survival and overall survival. Subjects and methods this study was a retrospective cohort observational study. The Medical Oncology Department at Zagazig University's Faculty of Medicine hosted the study. The preoperative peripheral blood neutrophil count (PNI) was computed as follows: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm3). Using the web application "Cutoff Finder," the ideal PNI cut off value for overall survival (OS) was determined. Result the median (range) PNI was 48.22 (29.7-62). The 47.895 cutoff value discriminated patients into the high-PNI and low-PNI groups. There was significant difference between the two studied groups. A low preoperative PNI was associated with an advanced FIGO stage, CA125, ascites, residual of disease, body mass index. and significant longer Overall survival and progression free survival in patients with high-PNI. Conclusion We demonstrated that the preoperative PNI can be used as a simple and useful marker for predicting chemotherapeutic response and survival prognosis in patients with
Author Related Publications
Rasha Mohamed Mostafa Hagag, "Impact of Prognostic Nutritional Index and Systemic Immune-Inflammation Index on the Clinical Outcome of Patients with Advanced Hepatocellular Carcinoma Treated with Sorafenib", Zagazig University Medical Journal, 2022
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Rasha Mohamed Mostafa Hagag, "Diagnosis of Sepsis among Adult Patients with AML Using Scd14", Ain Shams University, Faculty of Medicine, Pan Arab League of Continuous Medical Education, 2021
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Rasha Mohamed Mostafa Hagag, "Prognostic Impact of microRNAs (miR-155, miR-10a, let-7a) on the Outcome of Adult Patients with Acute Myeloid Leukemia.", Zagazig University, Faculty of Medicine, 2021
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Rasha Mohamed Mostafa Hagag, "نمط الوفيات الناجمة عن السرطان في مستشفى رعاية ثالثية سعودي", Volume 30, Issue 1, February, 2012, Pages 21-24, 2012
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Rasha Mohamed Mostafa Hagag, "نمط الصفات الاكلينيكيه و الباثولوجيه و معدل بقاء مرضى سرطان القولون و المستقيم صغار السن: تجربه من غرب المملكه العربيه السعوديه", Asian Pacific Journal of Cancer Prevention Volume 1, Issue 13, February, Pages 5239-5243, 2014, 2013
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Department Related Publications
Rasha Mohamed Mostafa Hagag, "Impact of Prognostic Nutritional Index and Systemic Immune-Inflammation Index on the Clinical Outcome of Patients with Advanced Hepatocellular Carcinoma Treated with Sorafenib", Zagazig University Medical Journal, 2022
More
Rasha Mohamed Mostafa Hagag, "Diagnosis of Sepsis among Adult Patients with AML Using Scd14", Ain Shams University, Faculty of Medicine, Pan Arab League of Continuous Medical Education, 2021
More
Rasha Mohamed Mostafa Hagag, "Prognostic Impact of microRNAs (miR-155, miR-10a, let-7a) on the Outcome of Adult Patients with Acute Myeloid Leukemia.", Zagazig University, Faculty of Medicine, 2021
More
Shereen Mostafa Saleh Elshorbagy, "Prognostic Roles of ZNF703 and SMAD4 Expression in Patients with Papillary Thyroid Cancer and Association with Nodal Metastasis", pubmed, 2022
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Shereen Mostafa Saleh Elshorbagy, "RNA-binding proteins RBM-HuR, RBM3 and PODXL expression in urothelial carcinoma of the urinary bladder. Prognostic and clinical implications", PMID: 35079236, 2022
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