2018
DOI: 10.1371/journal.pone.0201515
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Development and validation of a risk-prediction nomogram for patients with ureteral calculi associated with urosepsis: A retrospective analysis

Abstract: ObjectivesTo develop and validate an individualized nomogram to predict probability of patients with ureteral calculi developing into urosepsis.MethodsThe clinical data of 747 patients with ureteral calculi who were admitted from June 2013 to December 2015 in Affiliated Nanhai Hospital of Southern Medical University were selected and included in the development group, while 317 ureteral calculi patients who were admitted from January 2016 to December 2016 were included in the validation group. The independent … Show more

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Cited by 27 publications
(29 citation statements)
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“…Urolith induced obstructive urosepsis occurs predominantly in female patients, 7 which also holds true in our study in that the male to female ratio was 1:3.5. The reason is considered to be related to the anatomical characteristics of female lower urinary tract, the higher incidence of female lower urinary tract infection, and the refractory infection of drug-resistant bacteria.…”
Section: Discussionsupporting
confidence: 86%
“…Urolith induced obstructive urosepsis occurs predominantly in female patients, 7 which also holds true in our study in that the male to female ratio was 1:3.5. The reason is considered to be related to the anatomical characteristics of female lower urinary tract, the higher incidence of female lower urinary tract infection, and the refractory infection of drug-resistant bacteria.…”
Section: Discussionsupporting
confidence: 86%
“…To our knowledge, this study is the first to assess factors associated with injured CPN and establish a prediction model to predict the prognosis of injured CPN by using a nomogram. It is generally believed that the model with AUC of 0.50-0.75 is acceptable, and AUC > 0.75 indicates that the discrimination of model is prominent [35]. AUC of our prediction model is 0.904, so this nomogram can be used to predict the prognosis of injured CPN well.…”
Section: Discussionmentioning
confidence: 78%
“…To our knowledge, this study is the first to assess factors associated with injured CPN and establish a prediction model to predict the prognosis of injured CPN by using a nomogram. It is generally believed that the model with AUC of 0.50–0.75 is acceptable, and AUC > 0.75 indicates that the discrimination of model is prominent [ 42 ]. AUC of our prediction model is 0.904, so this nomogram can be used to predict the prognosis of injured CPN well.…”
Section: Discussionmentioning
confidence: 99%