ArticlePloS one2018
Development and validation of a risk-prediction nomogram for patients with ureteral calculi associated with urosepsis: A retrospective analysis.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Risk prediction models for postoperative complications of urosepsis in patients with upper urinary calculi: a systematic review and meta-analysis.BMC infectious diseases · 2026Pooled it
- Predictive model for urosepsis in patients with Upper Urinary Tract Calculi based on ultrasonography and urinalysis using artificial intelligence learning.International braz j urol : official journal of the Brazilian Society of UrologyTrial
- Development and Internal Validation of the AP-Score for Predicting Percutaneous Nephrostomy Use in Acute Obstructive Pyelonephritis.Journal of clinical medicine · 2026Article
- The incremental value of a novel immuno-inflammatory index (SIICI) in predicting sepsis after ureteroscopic lithotripsy: development and validation of a nomogram.Frontiers in cellular and infection microbiology · 2026Article
- Predicting Urosepsis in Ureteral Calculi: External Validation of Hu's Nomogram and Identification of Novel Risk Factors.Diagnostics (Basel, Switzerland) · 2025Article
- Potential risk factors associated with diabetic mellitus in patients with Febrile upper urinary tract calculi with infection.PloS one · 2025Article
- Influence of the "five‑in‑one" mode on complications and compliance behaviors of patients with ureteral calculi after minimally invasive surgery.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2024Article
- Machine learning constructs a diagnostic prediction model for calculous pyonephrosis.Urolithiasis · 2024Article
- Risk factors for hypertension in primary Sjögren's syndrome patients: a nomogram was constructed.Journal of human hypertension · 2022Article
- Development and validation of a nomogram to predict the risk of death within 1 year in patients with non-ischemic dilated cardiomyopathy: a retrospective cohort study.Scientific reports · 2022Article
- Risk factors for progression of Urolith Associated with Obstructive Urosepsis to severe sepsis or septic shock.BMC urology · 2022Article
- Can We Identify Patients in Danger of Complications in Retrograde Intrarenal Surgery?-A Retrospective Risk Factors Analysis.International journal of environmental research and public health · 2022Article
- Development and validation of a preoperative nomogram for predicting patients with impacted ureteral stone: a retrospective analysis.BMC urology · 2021Article
- Predicting the Risk of Acute Kidney Injury in Patients After Percutaneous Coronary Intervention (PCI) or Cardiopulmonary Bypass (CPB) Surgery: Development and Assessment of a Nomogram Prediction Model.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
- Pulmonary infection after cardiopulmonary bypass surgery in children: a risk estimation model in China.Journal of cardiothoracic surgery · 2021Article
- Prognostic factors in patients who underwent surgery for common peroneal nerve injury: a nest case-control study.BMC surgery · 2021Article
- Risk factors for the fever after percutaneous nephrolithotomy: a retrospective analysis.Translational andrology and urology · 2020Article
- The prognostic performance of Sepsis-3 and SIRS criteria for patients with urolithiasis-associated sepsis transferred to ICU following surgical interventions.Experimental and therapeutic medicine · 2019Article
- Next generation sequencing in patients with nephrolithiasis: how does it perform compared with standard urine and stone cultures?Therapeutic advances in urologyArticle
- Early prediction of survival at different time intervals in sepsis patients: A visualized prediction model with nomogram and observation study.Tzu chi medical journalArticle
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 risk factors of ureteral calculi associated with urosepsis were screened using univariate and multivariate logistic regression analyses. The corresponding nomogram prediction model was drawn according to the regression coefficients. The area under the receiver operating characteristic curves and the GiViTI calibration belts were used to estimate the discrimination and calibration of the prediction model, respectively.
resultsMultivariate logistic regression analysis showed that the five risk factors of gender, mean computed tomography(CT) attenuation value of hydronephrosis, functional solitary kidney, urine white blood cell(WBC) count and urine nitrite were independent risk factors of ureteral calculi associated with urosepsis. The areas under the receiver operating characteristic curve of the development group and validation group were 0.913 and 0.874 respectively, suggesting that the new prediction model had good discrimination capacity. P-values of the GiViTI calibration test of the two groups were 0.247 and 0.176 respectively, and the 95% CIs of GiViTI calibration belt in both groups did not cross the diagonal bisector line. Therefore the predicted probability of the model was consistent with the actual probability which suggested that the calibration of the prediction model in both groups were perfect and prediction model had strong concordance performance.
conclusionThe individualized prediction model for patients with ureteral calculi can facilitate improved screening and early identification of patients having higher risk of urosepsis.
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