Shuangping Q. Zhao
Changsha, China
Last Updated: 09/26/2026
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Found 24 publications
Prognostic Value of Procalcitonin and Procalcitonin Clearance in Septic Shock Patients: A Study from a Tertiary Teaching Hospital in Southern China.
Journal: Infection and drug resistance
Published: February 13, 2025
Association of glucocorticoids with outcomes in critically ill patients with sepsis-associated acute kidney injury: a multicenter retrospective cohort study.
Journal: Scientific reports
Published: January 10, 2025
Impact of prolonged elevated heart rate on sepsis-associated acute kidney injury patients: a causal inference and prediction study.
Journal: Kidney research and clinical practice
Published: August 13, 2024
Prognosis of major bleeding based on residual variables and machine learning for critical patients with upper gastrointestinal bleeding: A multicenter study.
Journal: Journal of critical care
Published: June 02, 2024
Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study.
Journal: Journal of medical Internet research
Published: July 28, 2023
Upper gastrointestinal haemorrhage patients' survival: A causal inference and prediction study.
Journal: European journal of clinical investigation
Published: July 23, 2023
METTL3-mediated N6-methyladenosine modification stimulates mitochondrial damage and ferroptosis of kidney tubular epithelial cells following acute kidney injury by modulating the stabilization of MDM2-p53-LMNB1 axis.
Journal: European journal of medicinal chemistry
Published: May 17, 2023
Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.
Journal: Renal failure
Published: November 07, 2022
Exosomal microRNA-342-5p secreted from adipose-derived mesenchymal stem cells mitigates acute kidney injury in sepsis mice by inhibiting TLR9.
Journal: Biological procedures online
Published: October 13, 2022
Establishment and external validation of an online dynamic nomogram for predicting in-hospital death risk in sepsis-associated acute kidney disease.
Journal: Current medical research and opinion
Published: July 20, 2022
Machine-learning models for prediction of sepsis patients mortality.
Journal: Medicina intensiva
Published: March 01, 2022
Last Updated: 09/26/2026