ArticleActa Cardiologica Sinica2026
The Osaka Prognostic Score as a Novel Predictor of Contrast-Induced Nephropathy and In-Hospital Mortality in STEMI Patients Undergoing Primary Percutaneous Coronary Intervention.
Article in Acta Cardiologica Sinica, 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The Osaka Prognostic Score (OPS), derived from C-reactive protein, serum albumin, and total lymphocyte count, reflects systemic inflammation and nutritional status. This study evaluated the prognostic value of the OPS for predicting contrast-induced nephropathy (CIN) and in-hospital all-cause mortality in patients with ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (pPCI). Methods: In this retrospective study, 2,769 consecutive STEMI patients treated with pPCI were analyzed. OPS was calculated on admission (range 0-3). Multivariable regression, receiver operating characteristic, and spline analyses were used to evaluate predictors and optimal cutoff values. Results: CIN occurred in 188 patients (6.8%), and 58 patients (2.1%) died during hospitalization. The mean OPS was significantly higher in patients who developed CIN compared with those who did not (1.86 ± 0.82 vs. 0.73 ± 0.70, p < 0.001). OPS independently predicted CIN (odds ratio: 6.817, 95% confidence interval: 5.157-9.012). For in-hospital mortality, OPS remained an independent predictor across all parsimonious multivariable Cox models, with adjusted hazard ratios ranging from 1.045 to 1.211 (all p < 0.05). An OPS cutoff value of ≥ 1.5 optimally predicted CIN (area under the curve [AUC]: 0.83) and in-hospital mortality (AUC: 0.73). Patients with an OPS of 3 had markedly higher rates of CIN (71.4%) and mortality (15.9%) than those with an OPS of 0 (0.7% and 0.5%, respectively; both p < 0.001). Kaplan-Meier analysis demonstrated a stepwise reduction in in-hospital survival with increasing OPS (log-rank p < 0.001). Conclusions: The OPS is a simple and effective tool for the early prediction of CIN and in-hospital mortality in STEMI patients undergoing pPCI, and may facilitate early risk stratification and targeted management.
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.