Evidence map›Paper›PMID 38937631›Full record

ArticleScientific reports2024

Association between maximum norepinephrine dosage and mortality risk in neonates with septic shock.

Junjuan Zhong, Jing Zhang, Yingyi Lin, Dongju Ma, Jing Mo, Xiuzhen Ye

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Junjuan ZhongDepartment of Neonatology, Guangdong Women and Children Hospital, Guangzhou, China.
Jing ZhangDepartment of Neonatology, Guangdong Women and Children Hospital, Guangzhou, China.
Yingyi LinDepartment of Neonatology, Guangdong Women and Children Hospital, Guangzhou, China.
Dongju MaDepartment of Neonatology, Guangdong Women and Children Hospital, Guangzhou, China.
Jing MoDepartment of Neonatology, Guangdong Women and Children Hospital, Guangzhou, China.
Xiuzhen YeDepartment of Neonatology, Guangdong Women and Children Hospital, Guangzhou, China. yxzh328@126.com.

Funding

Foundation of Medical Science and Technology Research of Guangdong Province A2022065Foundation of Medical Science and Technology Research of Guangdong Province A2024357
6 · The paper itself

Abstract

The high-dose usage of norepinephrine is thought to cause high mortality in patients with septic shock. This study aims to explores the correlation between the maximum norepinephrine (NE) dosage (MND) and mortality in neonates with septic shock. This retrospective cohort study included neonates with evidence of septic shock and those who received NE infusion. The study included 123 neonates, with 106 in the survival group and 17 in the death group. The death group exhibited significantly lower birth weight (p = 0.022), 1-min Apgar score (p = 0.005), serum albumin (p < 0.001), and base excess (BE) (p = 0.001) levels, but higher lactate (LAC) levels (p = 0.009) compared to the survival group. MND demonstrated an ROC area under the curve of 0.775 (95% CI 0.63-0.92, p < 0.001) for predicting mortality, with an optimal threshold of 0.3 µg/(kg·min), a sensitivity of 82.4%, and a specificity of 75.5%. Multivariate logistic regression indicated that an MND > 0.3 µg/(kg·min) (OR, 12.08, 95% CI 2.28-64.01) was associated with a significantly higher mortality risk. Spearman rank correlation showed a positive correlation between MND and LAC (r = 0.252, p = 0.005), vasoactive-inotropic score (VIS) (r = 0.836, p < 0.001), and a negative correlation with BE (r = - 0.311, p = 0.001). MND > 0.3 µg/(kg min) is a useful predictive marker of mortality in neonatal septic shock.

Indexed as

NorepinephrineShock, SepticApgar ScoreFemaleHumansInfant, NewbornMaleRetrospective StudiesROC CurveNorepinephrineMortalityNeonatesNorepinephrineSeptic shock

Identifiers

PMID38937631
PMCPMC11211480

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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.