Open AccessMP10-19 A PREDICTING MODEL BASED ON RISK FACTORS FOR UROSEPSIS AFTER ONE-PHASE PERCUTANEOUS NEPHROLITHOTOMY
Author(s) -
Yuqing Liu,
Jian Lü,
Chunlei Xiao,
Lulin Ma
Publication year - 2018
Publication title -
the journal of urology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.402
H-Index - 256
eISSN - 1527-3792
pISSN - 0022-5347
DOI - 10.1016/j.juro.2018.02.365
Subject(s) - percutaneous nephrolithotomy , medicine , nomogram , logistic regression , urinary system , incidence (geometry) , surgery , urology , percutaneous , physics , optics
Up to one-third of Percutaneous nephrolithotomy (PCNL) patients experience some peri-operative complications, the most common being fever secondary to a urinary tract infection(21–39.8%), and between 0.3 and 9.3% of patients can develop potentially life-threatening sepsis. To analyze the potential perioperative risk factors that affect the development of urosepsis following PCNL for upper urinary tract calculi with a regression model, and according to the identified independent risk factors, to develop a nomogram for predicting the probability of postoperative urosepsis after PCNL. RESULTS
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