ArticleInfection and drug resistance2023
Prediction of 30-Day Mortality Using the Quick Pitt Bacteremia Score in Hospitalized Patients with
Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Time-Sensitive Antibiotic Adjustments in Gram-Negative Bacteremia: A Survival Perspective.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Patterns, Outcomes and Economic Burden of Primary vs. Secondary Bloodstream Infections: A Single Center, Cross-Sectional Study.Pathogens (Basel, Switzerland) · 2024Article
- Carbapenem-resistant Enterobacterales sepsis following endoscopic retrograde cholangiopancreatography: risk factors for 30-day all-cause mortality and the development of a nomogram based on a retrospective cohort.Antimicrobial resistance and infection control · 2024Article
- Article
- Special Issue: Emergency Medicine: Clinical Advances and Challenges in Diagnosis and Treatment.Journal of personalized medicine · 2024Article
- Risk Factors for 30-Day Mortality in Patients with Bacteremic Pneumonia Caused byInternational journal of general medicine · 2023Article
- Prediction of 30-Day Mortality Using the Quick Pitt Bacteremia Score in Hospitalized Patients withInfection and drug resistance · 2023Article
- Prediction of 30-Day Mortality Using the Quick Pitt Bacteremia Score in Hospitalized Patients withInfection and drug resistance · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Patients and Methods: Demographic information and management strategies were retrospectively collected from the records of all adult patients who visited the emergency department between January 1, 2021, and December 31, 2021, with culture-positive Results: Data from 867 patients (57.8% men) with a mean age of 66.9 were compiled. The 30-day mortality rate of the enrolled patients was 13.4%, and the area under the curve (AUC) of the scoring systems were as follows: SOFA, 0.91 (95% confidence interval [CI]=0.89-0.93), qPitt, 0.87 (95% CI=0.84-0.89), PBS, 0.87 (95% CI=0.85-0.89), and qSOFA, 0.73 (95% CI=0.70-0.76). The AUC of qPitt was significantly higher than that of qSOFA ( Conclusion: The qPitt revealed excellent 30-day mortality prediction ability and also predicted mortality in non-bacteremic patients with
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