Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 47

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Serum substance P levels are associated with severity and mortality in patients with severe traumatic brain injury

Lorente, Leonardo, Martín, María M, Almeida, Teresa, Hernández, Mariano, Ramos, Luis, Argueso, Mónica, Cáceres, Juan J, Solé-Violán, Jordi, Jiménez, Alejandro·2015·Critical Care

Abstract

Introduction: Substance P (SP) is a member of the tachykinin family of neuropeptides, which are widely distributed throughout the central nervous system (CNS) and actively involved in inflammatory processes. SP is released early following acute injury to the CNS, promoting a neurogenic inflammatory response characterized by an increase in the permeability of the blood–brain barrier and the development of vasogenic edema. High levels of SP could lead to an exacerbated inflammatory response that could be fatal for patients with traumatic brain injury (TBI). Thus, the main goal of the present study was to determine whether serum SP levels are associated with injury severity and mortality in patients with severe TBI. Methods: This multicenter, observational, prospective study was carried out in six Spanish intensive care units and included patients with Glasgow Coma Scale (GCS) scores ≤8. Patients with an Injury Severity Score ≥10 in non-cranial aspects were excluded. Blood samples were collected on day 1 of TBI to measure serum SP levels. The endpoint was 30-day mortality. Results: We found higher serum SP levels (P=0.002) in non-surviving patients (n =27) than in surviving patients (n =73). The area under the curve for serum SP levels with regard to predicting 30-day mortality was 0.70 (95% confidence interval (CI), 0.60 to 0.79;P<0.001). Survival analysis showed that patients with serum SP levels >299 pg/ml had higher 30-day mortality than patients with lower levels (hazard ratio =3.7; 95% CI, 1.75 to 7.94;P<0.001). Multiple binomial logistic regression analysis showed that serum SP levels >299 pg/ml were associated with 30-day mortality when we controlled for APACHE II score and Marshall computed tomography lesion classification (odds ratio (OR) =5.97; 95% CI, 1.432 to 24.851;P=0.01) and for GCS score and age (OR =5.71; 95% CI, 1.461 to 22.280;P=0.01). We found a negative association between serum SP levels and GCS score (Spearman’s ρ = −0.22;P=0.03). Conclusions: We report, for the first time to our knowledge, that serum SP levels were associated with injury severity and mortality in patients with severe TBI. These results open the possibility that SP antagonists may be useful in the treatment of patients with severe TBI.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s13054-015-0911-z

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Receiver operating characteristic curve analysis of serum substance P levels to predict 30-day mortality. AUC, Area under the curve; CI Confidence interval.
Figure 1 Receiver operating characteristic curve analysis of serum substance P levels to predict 30-day mortality. AUC, Area under the curve; CI Confidence interval.CC BY · PubMed Central
Figure 2 Survival curves at 30 days using serum substance P levels higher or lower than 299 pg/ml as the cutoff. CI, Confidence interval.
Figure 2 Survival curves at 30 days using serum substance P levels higher or lower than 299 pg/ml as the cutoff. CI, Confidence interval.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 64 references

Research works printed but not linked: 1

  1. Palma C, Minghetti L, Astolfi M, Ambrosini E, Silberstein FC, Manzini S, et al. Functional characterization of substance P receptors on cultured human spinal cord astrocytes: synergism of substance P with cytokines in inducing interleukin-6 and prostaglandin E2 production. Glia. 1997;21:183–93. · DOI

Cited by

Metadata

Authors
Lorente, L., Martín, M. M., Almeida, T., Hernández, M., Ramos, L., Argueso, M., Cáceres, J. J., Solé-Violán, J., & Jiménez, A.
Venue
Critical Care
Published
2015-12
Volume
19
Issue
1
ISSN
1364-8535
Cited by
47
References
64
Language
en
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.