ArticleCancers2021
Prognostic Value of Procalcitonin, C-Reactive Protein, and Lactate Levels in Emergency Evaluation of Cancer Patients with Suspected Infection.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Targeting Lactate and Lactylation in Cancer Metabolism and Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Development and Internal Validation of the Palliative Metabolic Risk Score (PMRS) for Predicting Critical Outcome in Palliative Inpatients.Healthcare (Basel, Switzerland) · 2026Article
- Dynamic procalcitonin-guided antibiotic stewardship among cancer patients in the UK.Journal of medical microbiology · 2026Article
- Construction and validation of a prognostic prediction model for critically ill lung cancer patients based on respiratory functional reserve and systemic inflammatory characteristics.American journal of cancer research · 2026Article
- Lactate and procalcitonin combined with qSOFA score for the evaluation of disease severity and prognosis in ICU patients with sepsis: a retrospective study.Frontiers in medicine · 2025Article
- Cancer research in Lebanon: Scope of the most recent publications of an academic institution (Review).Oncology letters · 2024Review
- Procalcitonin and C-reactive protein as early markers of anastomotic leakage in intestinal resections for advanced ovarian cancer (EDMOCS).Acta obstetricia et gynecologica Scandinavica · 2024Observational
- Procalcitonin as a biomarker for predicting bacterial infection in chimeric antigen receptor T-cell therapy recipients.Cancer medicine · 2023Article
- Procalcitonin for antimicrobial stewardship among cancer patients admitted with COVID-19.eLife · 2022Article
- IL-6 and IL-10 Are Associated With Gram-Negative and Gram-Positive Bacteria Infection in Lymphoma.Frontiers in immunology · 2022Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer patients have increased risk of infections, and often present to emergency departments with infection-related problems where physicians must make decisions based on a snapshot of the patient's condition. Although C-reactive protein, procalcitonin, and lactate are popular biomarkers of sepsis, their use in guiding emergency care of cancer patients with infections is unclear. Using these biomarkers, we created a prediction model for short-term mortality in cancer patients with suspected infection. We retrospectively analyzed all consecutive patients who visited the emergency department of MD Anderson Cancer Center between 1 April 2018 and 30 April 2019. A clinical decision model was developed using multiple logistic regression for various clinical and laboratory biomarkers; coefficients were used to generate a prediction score stratifying patients into four groups according to their 14-day mortality risk. The prediction score had an area under the receiver operating characteristic curve value of 0.88 (95% confidence interval 0.85-0.91) in predicting 14-day mortality. The prediction score also accurately predicted intensive care unit admission and 30-day mortality. Our simple new scoring system for mortality prediction, based on readily available clinical and laboratory data, including procalcitonin, C-reactive protein, and lactate, can be used in emergency departments for cancer patients with suspected infection.
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