ArticlePloS one2017
Development and Validation of a Clinical Prediction Rule for Bacteremia among Maintenance Hemodialysis Patients in Outpatient Settings.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Utility of shaking chills as a diagnostic sign for bacteremia in adults: a systematic review and meta-analysis.BMC medicine · 2024Pooled it
- Risk-Stratified Tiered Intervention Among Chinese Clinical High-Risk for Psychosis Patients and Attenuated Negative Symptoms as a Predictor of 1-Year Psychosis Conversion: A Retrospective Propensity-Matched Real-World Cohort Study.Neuropsychiatric disease and treatment · 2026Article
- Early identification of bloodstream infection in hemodialysis patients by machine learning.Heliyon · 2023Article
- Added value of clinical prediction rules for bacteremia in hemodialysis patients: An external validation study.PloS one · 2021Article
- Incidental detection of Corynebacterium jeikeium endocarditis via regular blood examination in an afebrile hemodialysis patient.CEN case reports · 2020Article
- Pharmacologic epigenetic modulators of alkaline phosphatase in chronic kidney disease.Current opinion in nephrology and hypertension · 2020Review
- Early Detection of Bacteraemia Using Ten Clinical Variables with an Artificial Neural Network Approach.Journal of clinical medicine · 2019Article
- Article
- Machine learning for fast identification of bacteraemia in SIRS patients treated on standard care wards: a cohort study.Scientific reports · 2018Article
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Corrections and comments
- Erratum issued
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo our knowledge, no reliable clinical prediction rule (CPR) for identifying bacteremia in hemodialysis (HD) patients has been established. The aim of this study was to develop a CPR for bacteremia in maintenance HD patients visiting the outpatient department.
methodsThis multicenter cohort study involved consecutive maintenance HD patients who visited the outpatient clinic or emergency room of seven Japanese institutions between August 2011 and July 2013. The outcome measure was bacteremia diagnosed based on the results of blood cultures. The candidate predictors for bacteremia were extracted through a literature review. A CPR for bacteremia was developed using a coefficient-based multivariable logistic regression scoring method, and calibration was performed. The test performance was then assessed for the CPR.
resultsOf 507 patients eligible for the study, we analyzed the 293 with a complete dataset for candidate predictors. Of these 293 patients, 48 (16.4%) were diagnosed with bacteremia. At the conclusion of the deviation process, body temperature ≥ 38.3°C, heart rate ≥ 125 /min, C-reactive protein ≥ 10 mg/dL, alkaline phosphatase >360 IU/L, and no prior antibiotics use within the past week were retained and scored. The CPR had a good fit for the model on calibration. The AUC of the CPR was 0.76, and for score CPR ≥ 2, the sensitivity and specificity were 89.6% and 51.4%, respectively.
conclusionsWe established a simple CPR for bacteremia in maintenance HD patients using routinely obtained clinical information in an outpatient setting. This model may facilitate more appropriate clinical decision making.
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