ArticleInfectious diseases & clinical microbiology2025
The Role of Serial Monitoring of Laboratory Parameters in Determining the Need for Intensive Care in Severe COVID-19: A Single-Center Retrospective Study.
Article in Infectious diseases & clinical microbiology, 2025. 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Laboratory parameters play a critical role in monitoring and prognosticating coronavirus disease 2019 (COVID-19). However, there there is limited research regarding the role of serial laboratory parameter monitoring in forecasting prognosis. This study aimed to investigate the trend of serial serum biomarker monitoring in patients with severe COVID-19 and determine its role in predicting the need for intensive care. Materials and Methods: This retrospective single-center study included all patients aged 18 years and older diagnosed with severe COVID-19 and hospitalized between March 1 and November 30, 2021. Serial laboratory measurements - including lymphocyte count, platelet (PLT) count, C-reactive protein (CRP), aspartate aminotransferase (AST), alanine aminotransferase (ALT), D-dimer, ferritin, lactatedehydrogenase (LDH), and troponin I - were recorded on days 0, 2, 4, 6, and 8 from ward admission to intensive care unit (ICU) transfer. Patients who required ICU were compared to those who did not, regarding demographics, clinical features, and serial laboratory measurements. Receiver-operating characteristic (ROC) curves were generated for each serial laboratory parameter to assess its predictive value for ICU admission, and the area under the curve (AUC) was calculated. Results: A total of 773 patients were included, of whom 20.1% required ICU care. Significant differences were observed between the two groups in lymphocyte count, PLT, and troponin I across all measurements. CRP, D-dimer, and LDH showed significant differences between the groups on days 2, 4, 6, and 8. The AUC values of lymphocyte count, PLT, CRP, LDH, and troponin I increased in a time-dependent manner from day 0 to day 8, with an observed increase in statistical significance. Conclusion: Dynamic monitoring of lymphocyte count, PLT, CRP, LDH, and troponin I was found to be valuable in predicting poor outcomes related to COVID-19. We believe that our study can assist clinicians in predicting ICU needs in patients with severe COVID-19 through widely accessible laboratory tests.
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.