ArticleAfrican journal of thoracic and critical care medicine2024
The utility of procalcitonin as a biomarker of hospital-acquired infection in severe COVID-19.
Article in African journal of thoracic and critical care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hospital-acquired infection (HAI) in patients with COVID-19 admitted to the intensive care unit (ICU) is associated with increased mortality. The 'cytokine storm' associated with COVID-19 leads to extreme elevation of inflammatory biomarkers, including C-reactive protein (CRP). Procalcitonin (PCT) has been shown to be more discriminative than CRP in distinguishing HAI from other inflammatory processes. Objectives: To investigate the utility of PCT in detecting HAI in patients with severe COVID-19. Methods: Clinical and laboratory data from all patients admitted to a dedicated ICU with confirmed severe COVID-19 from 1 April 2020 to 31 August 2020 were prospectively captured. HAI was confirmed by serial PCT and CRP measurements, as well as microbiological data (positive microbiological cultures in clinical context). Data from patients who were on antibiotics on ICU admission, had a positive culture for a presumed pathogen during the first 48 hours of ICU admission, or already had suspected or proven HAI on admission were excluded. Optimal cut-offs with the highest sensitivity and specificity were determined. The discriminative power of PCT was assessed for each outcome, using receiver operating characteristic (ROC) analysis describing the area under the curve. Similarly, negative predictive values (NPVs) and positive predictive values (PPVs) were determined. The sensitivity and specificity for different PCT cut-off levels were calculated. Results: Of 92 patients, 35 had confirmed HAI, which was significantly associated with mechanical ventilation (p<0.001) and mortality (p<0.001). ROC analysis demonstrated that a threshold PCT level of 0.22 μg/L resulted in 97% sensitivity and 40% specificity for predicting HAI. Similarly, sensitivity and specificity for CRP were 91.4% and 38.6%, respectively, when the CRP level was 133 mg/L. In patients with a PCT level <0.25 μg/L, the NPV was 92%, whereas for PCT levels >1.00 μg/L, the PPV was >50%. For PCT levels >40 μg/L, the PPV was 100%. Conclusion: During HAI, PCT levels >1.00 μg/L had a moderate PPV of 52%, whereas levels <0.26 μg/L ruled out HAI with an NPV of 92%. With increased PCT values, the PPV rose to 100%, making it a better biomarker than CRP. Study synopsis:
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.