Abstract

Objective The aim of the current investigation is to develop a new strategy for evaluating blood loss in the process of transurethral resection of the prostate (TURP). Methods 318 patients diagnosed with benign prostatic hyperplasia (BPH) that need TURP were enrolled in this study. Hospitalization information including age, height, weight, surgery time, prostate volume, hemoglobin (Hb) concentration, hematocrit (HCT) percentage, and red blood cell count (RBC) was evaluated for each patient. All statistical analysis drawing were conducted using R software. Results Three methods were employed for calculating blood loss in TURP. Results from a new method display 0 missing value and got higher confidence (0 of 318, Poisson distribution, P < 0.001) compared with blood loss calculated with hemoglobin concentration (20.44%) and hematocrit percentage (19.18%). Also, the new method demonstrated narrow range (0.03~270.03 ml) and approximate normal distribution compared with blood loss calculated with hemoglobin concentration and hematocrit percentage. More importantly, the new method explained positive correlation with prostate volume (R2 = 0.138, P < 0.001) and also surgery lasting time (R2 = 0.193, P < 0.001). Conclusion Methods developed for calculating blood loss in TURP in the current study displayed more accurate and reasonable evaluation of bleeding, which can guide the transfusion blood for patients.

Highlights

  • Transurethral resection of the prostate (TURP) is the most common surgery for benign prostatic hyperplasia (BPH) [1]

  • Univariate analyses showed that prostate volume, resected glandular tissue weight, preoperative RCV, and operative time were significantly associated with red blood cell count (RBC) loss

  • Demographic Characters. 318 male patients with BPH receiving TURP were enrolled in current research

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Summary

Objective

The aim of the current investigation is to develop a new strategy for evaluating blood loss in the process of transurethral resection of the prostate (TURP). Hospitalization information including age, height, weight, surgery time, prostate volume, hemoglobin (Hb) concentration, hematocrit (HCT) percentage, and red blood cell count (RBC) was evaluated for each patient. Results from a new method display 0 missing value and got higher confidence (0 of 318, Poisson distribution, P < 0:001) compared with blood loss calculated with hemoglobin concentration (20.44%) and hematocrit percentage (19.18%). The new method demonstrated narrow range (0.03~270.03 ml) and approximate normal distribution compared with blood loss calculated with hemoglobin concentration and hematocrit percentage. Methods developed for calculating blood loss in TURP in the current study displayed more accurate and reasonable evaluation of bleeding, which can guide the transfusion blood for patients

Introduction
Materials and Methods
Results
Discussion
Conflicts of Interest
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