Evidence map›Paper›PMID 38919625›Full record

Observational studyFrontiers in immunology2024

Preoperative inflammatory biomarkers reveal renal involvement in postsurgical mortality in hip fracture patients: an exploratory study.

Ana M Valdes, Adeel Ikram, Lauren A Taylor, Amy Zheng, Afroditi Kouraki, Anthony Kelly, Waheed Ashraf, Amrita Vijay, Suzanne Miller, Jessica Nightingale and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ana M ValdesInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Adeel IkramInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Lauren A TaylorInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Amy ZhengInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Afroditi KourakiInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Anthony KellyInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Waheed AshrafInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Amrita VijayInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Suzanne MillerInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Jessica NightingaleInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Nicholas M SelbyCentre for Kidney Research and Innovation, Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Benjamin J OllivereInjury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.

Funding

Medical Research Council MR/W026813/1Medical Research Council MR/Y010175/1
6 · The paper itself

Abstract

Background: Hip fractures in frail patients result in excess mortality not accounted for by age or comorbidities. The mechanisms behind the high risk of mortality remain undetermined but are hypothesized to be related to the inflammatory status of frail patients. Methods: In a prospective observational exploratory cohort study of hospitalized frail hip fracture patients, 92 inflammatory markers were tested in pre-operative serum samples and markers were tested against 6-month survival post-hip fracture surgery and incidence of acute kidney injury (AKI). After correcting for multiple testing, adjustments for comorbidities and demographics were performed on the statistically significant markers. Results: Of the 92 markers tested, circulating levels of fibroblast growth factor 23 (FGF-23) and interleukin-15 receptor alpha (IL15RA), both involved in renal disease, were significantly correlated with 6-month mortality (27.5% overall) after correcting for multiple testing. The incidence of postoperative AKI (25.4%) was strongly associated with 6-month mortality, odds ratio = 10.57; 95% CI [2.76-40.51], and with both markers plus estimated glomerular filtration rate (eGFR)- cystatin C (CYSC) but not eGFR-CRE. The effect of these markers on mortality was significantly mediated by their effect on postoperative AKI. Conclusion: High postoperative mortality in frail hip fracture patients is highly correlated with preoperative biomarkers of renal function in this pilot study. The effect of preoperative circulating levels of FGF-23, IL15RA, and eGFR-CYSC on 6-month mortality is in part mediated by their effect on postoperative AKI. Creatinine-derived preoperative renal function measures were very poorly correlated with postoperative outcomes in this group.

Indexed as

Acute Kidney InjuryBiomarkersFibroblast Growth Factor-23Hip FracturesAgedAged, 80 and overFemaleFibroblast Growth FactorsGlomerular Filtration RateHumansInflammationMalePostoperative ComplicationsPreoperative PeriodProspective StudiesBiomarkersFGF23 protein, humanFibroblast Growth Factor-23Fibroblast Growth Factorsacute kidney injuryFGF23frailtyhip fractureinflammationmortalityrenalsurgery

Identifiers

PMID38919625
PMCPMC11197399

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Registered trials

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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.