Predictive value of hemoglobin-to-red blood cell distribution width ratio in the diagnosis of prostate cancer
Objective:To explore the value of hemoglobin-to-red-blood-cell-distribution-width ratio(HRR)in the diagnosis of prostate cancer(PCa).Methods:We retrospectively analyzed the clinical data of 192 patients un-dergoing prostate biopsy in the Department of Urology,the 940th Hospital of Joint Logistic Support Force of Peo-ple's Liberation Army between Jan.2021 and Jan.2024.They were divided into two groups based on the patho-logical findings after prostate biopsy.One group was selected as PCa group(82 cases)and the other was benign prostatic hyperplasia(BPH)group(110 cases).Clinical information such as blood routine,prostate-specific anti-gen(PSA)and imaging findings were collected.We compared the differences of the risk factors between these two groups,and analyzed them by simple correlation and multiple stepwiseregressions.A united model that can pre-dict PCa was constructed based on multivariate analysis and this model's capability was evaluated by using receiver operating characteristic curve.Results:In this study,HRR had a better ability to predict PCa,compared with other inflammation parameters.The difference of age,total PSA(tPSA),prostate volume,(choline±creatine)/citrate and HRR between two groups was significant(P＜0.05).Multivariate analysis showed that age,tPSA,prostate volume and HRR were independent risk factors in PCa.We set up a united model including four former clinical factors.The sensitivity and the specificity of this united model were 81.08％and 79.00％,respectively.The area under the receiver operating characteristic curve value was 0.868.Conclusion:Age,tPSA,prostate vol-ume and HRR were effective biomarkers for predicting PCa prior to prostate needle biopsy.These factors are easy to administer and worth popularizing,but further prospective clinical studies that include more patients from mul-tiple centers are needed to evaluate their diagnostic role in PCa.
prostate cancerhemoglobin-to-red-blood-cell-distribution-width ratioprediction model
NETL
NSTL
万方数据
