132 related articles for article (PubMed ID: 37870479)
1. Development and validation of a predictive model for post-percutaneous nephrolithotomy urinary sepsis: a multicenter retrospective study.
Wang L; Li D; He W; Shi G; Zhai J; Cen Z; Xu F; Xie H; Yu Z; Zhao G; Mo C; Lv Q; Tian W
Minerva Urol Nephrol; 2024 Jun; 76(3):357-366. PubMed ID: 37870479
[TBL] [Abstract][Full Text] [Related]
2. Construction and validation of the nomogram predictive model for post-percutaneous nephrolithotomy urinary sepsis.
Qiu Z; Zhan S; Song Y; Huang L; Xie J; Qiu T; Zhao C; Wang L; Li D
World J Urol; 2024 Mar; 42(1):135. PubMed ID: 38478045
[TBL] [Abstract][Full Text] [Related]
3. Development and Validation of the Prediction Model of Sepsis in Patients After Percutaneous Nephrolithotomy and Sepsis Progresses to Septic Shock.
Hao X; Wang X; Wei H; Ding H; Zheng S; Wang L; Li Z; Yin H
J Endourol; 2023 Apr; 37(4):377-386. PubMed ID: 36585859
[No Abstract] [Full Text] [Related]
4. Analysis of factors affecting intraoperative hemorrhage during percutaneous nephrolithotomy and establishment of nomogram model.
Xu J; Ji L; Gu S; Liu X; Wang Y
Urolithiasis; 2024 Apr; 52(1):71. PubMed ID: 38662112
[TBL] [Abstract][Full Text] [Related]
5. [Predicting model based on risk factors for urosepsis after percutaneous nephrolithotomy].
Liu YQ; Lu J; Hao YC; Xiao CL; Ma LL
Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Jun; 50(3):507-513. PubMed ID: 29930421
[TBL] [Abstract][Full Text] [Related]
6. Nomogram for predicting risk factor of urosepsis in patients with diabetes after percutaneous nephrolithotomy.
Gu J; Liu J; Hong Y; Feng Y; Huang X
BMC Anesthesiol; 2022 Mar; 22(1):87. PubMed ID: 35361116
[TBL] [Abstract][Full Text] [Related]
7. Risk factors and prediction model of urosepsis in patients with diabetes after percutaneous nephrolithotomy.
Liu J; Yang Q; Lan J; Hong Y; Huang X; Yang B
BMC Urol; 2021 Apr; 21(1):74. PubMed ID: 33910537
[TBL] [Abstract][Full Text] [Related]
8. Impact Factors and an Efficient Nomogram for Predicting the Occurrence of Sepsis after Percutaneous Nephrolithotomy.
Wang J; Mi Y; Wu S; Shao H; Zhu L; Dai F
Biomed Res Int; 2020; 2020():6081768. PubMed ID: 33426058
[TBL] [Abstract][Full Text] [Related]
9. A novel post-percutaneous nephrolithotomy sepsis prediction model using machine learning.
Shen R; Ming S; Qian W; Zhang S; Peng Y; Gao X
BMC Urol; 2024 Feb; 24(1):27. PubMed ID: 38308308
[TBL] [Abstract][Full Text] [Related]
10. Predicting and comparing postoperative infections in different stratification following PCNL based on nomograms.
Jiang E; Guo H; Yang B; Li P; Mishra P; Yang T; Li Y; Wang H; Jiang Y
Sci Rep; 2020 Jul; 10(1):11337. PubMed ID: 32647305
[TBL] [Abstract][Full Text] [Related]
11. [Establishment and Validation of a Predictive Model for Gallstone Disease in the General Population: A Multicenter Study].
Yu W; Xia J; Chen F; Jiao P; Cui P; Zhang C; Wang Y; Shan X; Wang X
Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 May; 55(3):641-652. PubMed ID: 38948266
[TBL] [Abstract][Full Text] [Related]
12. Percutaneous Nephrolithotomy Can Reduce the Incidence of Sepsis Compared with Flexible Ureteroscopy in Treating Solitary Proximal Ureteral Stone Patients with Positive Urine Culture.
Xia QD; Wang YF; Liu CQ; Xu JZ; Sun JX; Xun Y; Li C; Hu J; Lu JL; Wang SG
Biomed Res Int; 2021; 2021():9927498. PubMed ID: 33954204
[TBL] [Abstract][Full Text] [Related]
13. Predicting the Postoperative Outcome of Percutaneous Nephrolithotomy with Machine Learning System: Software Validation and Comparative Analysis with Guy's Stone Score and the CROES Nomogram.
Aminsharifi A; Irani D; Tayebi S; Jafari Kafash T; Shabanian T; Parsaei H
J Endourol; 2020 Jun; 34(6):692-699. PubMed ID: 31886708
[No Abstract] [Full Text] [Related]
14. Nomogram to predict the risk of adverse outcomes in patients with residual stones following percutaneous nephrolithotomy.
Xie F; Deng S; Fei K; Xu H; Zhang H
Int Braz J Urol; 2023; 49(5):599-607. PubMed ID: 37390125
[TBL] [Abstract][Full Text] [Related]
15. Develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy.
Zou XC; Luo CW; Yuan RM; Jin MN; Zeng T; Chao HC
Urolithiasis; 2024 Apr; 52(1):64. PubMed ID: 38613668
[TBL] [Abstract][Full Text] [Related]
16. Efficacy of Flexible Ureteroscopic Lithotripsy and Percutaneous Nephrolithotomy in the Treatment of Complex Upper Urinary Tract Nephrolithiasis.
Yang J; Huang Y; Li Y; Tang D; Ai Q
Comput Math Methods Med; 2022; 2022():2378113. PubMed ID: 35941896
[TBL] [Abstract][Full Text] [Related]
17. [Analysis of 28 day-mortality risk factors in sepsis patients and construction and validation of predictive model].
Shao H; Wang Y; Zhang H; Zhou Y; Zhang J; Yao H; Liu D; Liu D
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 May; 36(5):478-484. PubMed ID: 38845493
[TBL] [Abstract][Full Text] [Related]
18. The Predictive Value of Preoperative High-Sensitive C-Reactive Protein/Albumin Ratio in Systemic Inflammatory Response Syndrome After Percutaneous Nephrolithotomy.
Xu H; Hu L; Wei X; Niu J; Gao Y; He J; Hou J
J Endourol; 2019 Jan; 33(1):1-8. PubMed ID: 30430854
[TBL] [Abstract][Full Text] [Related]
19. The effect of preoperative urine culture and bacterial species on infection after percutaneous nephrolithotomy for patients with upper urinary tract stones.
Yang Z; Lin D; Hong Y; Hu M; Cai W; Pan H; Li Q; Lin J; Ye L
Sci Rep; 2022 Mar; 12(1):4833. PubMed ID: 35318408
[TBL] [Abstract][Full Text] [Related]
20. A preoperative nomogram for sepsis in percutaneous nephrolithotomy treating solitary, unilateral and proximal ureteral stones.
Xun Y; Yang Y; Yu X; Li C; Lu J; Wang S
PeerJ; 2020; 8():e9435. PubMed ID: 32655994
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
