Observational studyBMC pulmonary medicine2025
Feasibility assessment of a multiple logistic regression model utilizing serum FT3, FT4, and TSH to predict prognosis of pulmonary infection in elderly patients.
Observational study in BMC pulmonary medicine, 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNumerous studies have established a strong link between thyroid hormones and thyroid-stimulating hormone (TSH) and their prognostic significance in critical illness. This study aimed to evaluate whether serum FT3, FT4, and TSH levels are independently associated with prognosis in elderly patients with pulmonary infection and to determine whether a combined logistic regression model improves prognostic accuracy.
methodsAn observational study was conducted on 362 elderly patients hospitalized for pulmonary infection. The patients were categorized into two groups based on their prognosis: a mortality group (35 cases) and a survival group (327 cases). Serum levels of FT3, FT4, and TSH were measured, and their associations with prognosis were evaluated. Multiple logistic regression analysis was performed to determine the independent contributions of each hormone. Receiver operating characteristic (ROC) analysis was utilized to establish optimal thresholds and assess the predictive power of the hormones both individually and as a combined prediction model.
resultsThe study revealed significant positive correlations between serum levels of FT3, FT4, and TSH and the prognosis of pulmonary infection. Each hormone exhibited a favorable area under the curve (AUC) value in the ROC analysis, suggesting their potential as prognostic markers. Optimal thresholds for FT3, FT4, and TSH were determined, providing cutoff values for risk assessment. Moreover, multiple logistic regression analysis demonstrated that all three hormones independently contributed to the prognostic significance. Integrating FT3, FT4, and TSH levels in a combined prediction model improved the accuracy of prognosis.
conclusionsElevated serum levels of FT3, FT4, and TSH are associated with a more favorable prognosis in elderly patients after pulmonary infection. These thyroid hormones hold promising prognostic value and can serve as potential markers for risk assessment.
Indexed as
Identifiers
What Socratic 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 Socratic graph.