ArticleAmerican journal of translational research2021
Serum lactate concentration on admission to hospital predicts the postoperative mortality of elderly patients with hip fractures 30 days after surgery.
Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Association of Serum Lactate Levels Measured in the Emergency Department with 30-Day Mortality in Older Patients with Unilateral Hip Fractures.Annals of geriatric medicine and research · 2024Article
- Pilot Project for a Web-Based Dynamic Nomogram to Predict Survival 1 Year After Hip Fracture Surgery: Retrospective Observational Study.Interactive journal of medical research · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo determine whether serum lactate concentration on admission to hospital is a predictor for 30-day and 1-year mortality for patients who underwent hip-surgery.
methodsData from elderly patients with hip fractures admitted to our hospital (Jan 2012-Dec 2016) were reviewed. The lactate concentration on admission was assessed using a cut-off value of 2.0 mmol/L and then a new cut-off value was determined by maximizing the Youden index. Multivariate logistic regression was employed to verify whether a higher lactate concentration compared with the cutoff value was an independent risk factor for postoperative mortality after 30 days or at 1 year.
resultsA total of 1,004 patients were enrolled. There were differences in the incidence of postoperative complications (28.6%
conclusionThe admission lactate concentration (≥2.35 mmol/L) following hip fracture derived by this study was a significant predictor of mortality 30 days after surgery, which might help physicians to stratify the risk for these patients.
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