ArticleBMC infectious diseases2026
Comparison of nutritional inflammatory indicators for predicting outcomes in patients with sepsis: a retrospective study based on clinical and MIMIC data.
Article in BMC infectious diseases, 2026. 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to investigate the utility of the prognostic nutrition index (PNI) and the Naples prognostic score (NPS) in predicting the prognosis of patients with sepsis.
methodsA total of 149 clinical patients from Binhai County People's Hospital and 200 patients from the MIMIC-IV database were independently analyzed. Baseline data, including infection sources, causative organisms, and therapeutic interventions (vasoactive drugs, steroids, and RRT), were collected within the first 24 h of ICU admission. Kaplan-Meier curves and hierarchical Cox proportional hazard models (adjusting for SOFA, NLR, and comorbidities) were constructed to identify independent prognostic factors. Model performance was comprehensively evaluated using the C-index, Likelihood Ratio Test, and calibration curves.
resultsBoth cohorts revealed that patients with low PNI (L-PNI < 32.1) and high NPS (H-NPS) had a significantly increased risk of 28-day mortality. Non-survivors exhibited a higher prevalence of pulmonary infections and higher requirements for vasoactive drugs and RRT (all p < 0.05). Analysis of the independent MIMIC-IV cohort further confirmed that NPS was an independent risk factor while PNI was an independent protective factor, even after adjusting for SOFA scores and individual inflammatory components (VIF < 5). The combined ROC model (PNI + NPS) demonstrated excellent discriminative power with an AUC of 0.805 in the clinical cohort and 0.806 in the MIMIC cohort. Calibration curves showed high agreement between predicted and actual survival probabilities (Hosmer-Lemeshow p > 0.05).
conclusionsPNI and NPS are independent risk factors for 28-day mortality in patients with sepsis. PNI combined with NPS provides greater predictive value for the survival and prognosis of patients with sepsis. CLINICAL TRIAL: Not applicable.
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.