Evidence map›Paper›PMID 39003396›Full record

ArticleScientific reports2024

The clinical value of nutritional and inflammatory indicators in predicting pneumonia among patients with intracerebral hemorrhage.

Guang Zhao, Yuyang Chen, Yuting Gu, Xiaohua Xia

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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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23citing papers in PubMed, 1 pooled it
–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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3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

4 authors.

Guang ZhaoDepartment of Emergency Medicine, The First People's Hospital of Kunshan, Kunshan, 215300, Jiangsu, China. zhaoziyix@126.com.
Yuyang ChenDepartment of Emergency Medicine, The First People's Hospital of Kunshan, Kunshan, 215300, Jiangsu, China.
Yuting GuDepartment of Emergency Medicine, The First People's Hospital of Kunshan, Kunshan, 215300, Jiangsu, China.
Xiaohua XiaDepartment of Emergency Medicine, The First People's Hospital of Kunshan, Kunshan, 215300, Jiangsu, China. 18475944@qq.com.

Funding

Suzhou Municipal Youth Science and Technology Project No. KJXW2023075
6 · The paper itself

Abstract

Immunosuppression and malnutrition play pivotal roles in the complications of intracerebral hemorrhage (ICH) and are intricately linked to the development of stroke-associated pneumonia (SAP). Inflammatory markers, including NLR (neutrophil-to-lymphocyte ratio), SII (systemic immune inflammation index), SIRI (systemic inflammatory response index), and SIS (systemic inflammation score), along with nutritional indexes such as CONUT (controlling nutritional status) and PNI (prognostic nutritional index), are crucial indicators influencing the inflammatory state following ICH. In this study, our objective was to compare the predictive efficacy of inflammatory and nutritional indices for SAP in ICH patients, aiming to determine and explore their clinical utility in early pneumonia detection. Patients with severe ICH requiring ICU admission were screened from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The outcomes included the occurrence of SAP and in-hospital death. Receiver operating characteristic (ROC) analysis, multivariate logistic regression, smooth curve analysis, and stratified analysis were employed to investigate the relationship between the CONUT index and the clinical outcomes of patients with severe ICH. A total of 348 patients were enrolled in the study. The incidence of SAP was 21.3%, and the in-hospital mortality rate was 17.0%. Among these indicators, multiple regression analysis revealed that CONUT, PNI, and SIRI were independently associated with SAP. Further ROC curve analysis demonstrated that CONUT (AUC 0.6743, 95% CI 0.6079-0.7408) exhibited the most robust predictive ability for SAP in patients with ICH. Threshold analysis revealed that when CONUT < 6, an increase of 1 point in CONUT was associated with a 1.39 times higher risk of SAP. Similarly, our findings indicate that CONUT has the potential to predict the prognosis of patients with ICH. Among the inflammatory and nutritional markers, CONUT stands out as the most reliable predictor of SAP in patients with ICH. Additionally, it proves to be a valuable indicator for assessing the prognosis of patients with ICH.

Indexed as

Cerebral HemorrhagePneumoniaAgedBiomarkersFemaleHospital MortalityHumansInflammationMaleMiddle AgedNutritional StatusNutrition AssessmentPrognosisROC CurveBiomarkersCONUTICHIn-hospital deathMIMIC-IVSAP

Identifiers

PMID39003396
PMCPMC11246476

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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.