Evidence map›Paper›PMID 42853453›Full record

ArticleJournal of clinical monitoring and computing2026

Bedside monitoring of the vascular response to norepinephrine in early septic shock: VNERi trajectories and comparison with dynamic clinical measures.

Yusuf Karancı, Fulya Çiyiltepe, Gizem Akçın, Halil Beggi

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Article in Journal of clinical monitoring and computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Yusuf KarancıDepartment of Intensive Care, University of Health Sciences, Antalya Training and Research Hospital, Antalya, Turkey. yusufkaranci_@hotmail.com.ORCID https://orcid.org/0000-0003-0230-2187
Fulya ÇiyiltepeDepartment of Intensive Care, University of Health Sciences, Antalya Training and Research Hospital, Antalya, Turkey.
Gizem AkçınDepartment of Intensive Care, University of Health Sciences, Antalya Training and Research Hospital, Antalya, Turkey.
Halil BeggiDepartment of Intensive Care, University of Health Sciences, Antalya Training and Research Hospital, Antalya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe vascular norepinephrine response index [VNERi = diastolic arterial pressure / (norepinephrine dose × heart rate)] is a bedside index computed from already-monitored signals. It has been studied only at baseline. We described its 48-hour course and tested whether it adds prognostic information beyond dynamic clinical measures.

methodsWe studied a single-center prospective cohort of 94 adults with septic shock started on first-line norepinephrine. VNERi was computed at hours T0-T48. Course parameters (mean level, minimum, slope) were compared for 28-day mortality against the change in Sequential Organ Failure Assessment (SOFA) score (ΔSOFA) and lactate clearance, using the area under the receiver operating characteristic curve (AUC) with the DeLong test, nested logistic regression, and time-dependent Cox regression adjusted for time-varying SOFA(t) and lactate(t). Phenotypes came from a latent class mixed model.

resultsMortality was 32% (30/94). Baseline VNERi did not separate outcomes (AUC 0.59; most had a preserved response). The course parameters did (mean-level AUC 0.73) but did not outperform ΔSOFA (AUC 0.84, window-matched DeLong p = 0.02). Added to a dynamic clinical model, VNERi gave a small gain (integrated discrimination improvement 0.05-0.06, likelihood-ratio p ≈ 0.02). In time-dependent Cox, a higher VNERi(t) was linked to survival (hazard ratio 0.48) but weakened to non-significance after adjusting for SOFA(t) (0.68, p = 0.08). Three exploratory course phenotypes separated survival (log-rank p = 0.002).

conclusionSerial bedside VNERi monitoring is feasible and carries a partly independent signal that adds a small amount to dynamic clinical severity without outperforming it. These findings are hypothesis-generating and need validation in a hyporesponsive population.

Indexed as

Diastolic arterial pressureHemodynamic monitoringMortalityNorepinephrineSeptic shockVascular response

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PMID42853453

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