Evidence map›Paper›PMID 37563630›Full record

ArticleBMC anesthesiology2023

Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study.

Min Liu, Miao Sun, Ting Zhang, Peng Li, Jin Liu, Yanhong Liu, Yuxiang Song, Siyuan Liu, Huikai Yang, Zhikang Zhou and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC anesthesiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
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

22 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Prognostic Value of HALP and PNI Scores in Predicting 6-Month Mortality Among Geriatric Hip Fracture Patients.Medical science monitor : international medical journal of experimental and clinical research · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Min Liu *Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Miao Sun *Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Ting Zhang *Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Peng LiDepartment of Anesthesiology, The Sixth Medical Center of PLA General Hospital, Beijing , 100048, China.
Jin LiuHangzhou Le9 Healthcare Technology Co., Ltd, Hangzhou, 311200, China.
Yanhong LiuDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Yuxiang SongDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Siyuan LiuDepartment of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, 226001, China.
Huikai YangDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Zhikang ZhouDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Dandan ChangDepartment of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Guyan Wang *Department of Anesthesiology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. guyanwang2006@163.com.
Weidong Mi *Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. wwdd1962@aliyun.com.
Yulong Ma *Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. yulongma123@163.com.
Chinese PLA General Hospital · CNBeijing Tongren Hospital · CNAffiliated Hospital of Jining Medical University · CNAffiliated Hospital of Nantong University · CN

Funding

the Capital Health Research and Development of Special Fund 2022-4-5025the National Key Research and Development Program of China 2018YFC2001901
6 · The paper itself

Abstract

backgroundThe prognostic nutritional index (PNI) is a nutritional indicator and predictor of various diseases. However it is unclear whether PNI can be a predictor of perioperative ischemic stroke. This study aims to evaluate the association of the preoperative PNI and ischemic stroke in patients undergoing non-cardiac surgery.

methodsThe retrospective cohort study included patients who underwent noncardiac surgery between January 2008 and August 2019. The patients were divided into PNI ≥ 38.8 and PNI < 38.8 groups according to the cut-off value of PNI. Univariate and multivariate logistic regression analyses were performed to explore the association between PNI and perioperative ischemic stroke. Subsequently, propensity score matching (PSM) analysis was performed to eliminate the confounding factors of covariates and further validate the results. Subgroup analyses were completed to assess the predictive utility of PNI for perioperative ischemic stroke in different groups.

resultsAmongst 221,542 hospitalized patients enrolled, 485 (0.22%) experienced an ischemic stroke within 30 days of the surgery, 22.1% of patients were malnourished according to PNI < 38.8, and the occurrence of perioperative ischemic stroke was 0.34% (169/49055) in the PNI < 38.8 group. PNI < 38.8 was significantly associated with an increased incidence of perioperative ischemic stroke whether in univariate logistic regression analysis (OR = 1.884, 95% CI: 1.559-2.267, P < 0.001) or multivariate logistic regression analysis (OR = 1.306, 95% CI: 1.061-1.602, P = 0.011). After PSM analysis, the ORs of PNI < 38.8 group were 1.250 (95% CI: 1.000-1.556, P = 0.050) and 1.357 (95% CI: 1.077-1.704, P = 0.009) in univariate logistic regression analysis and multivariate logistic regression analysis respectively. The subgroup analysis indicated that reduced PNI was significantly associated to an increased risk of perioperative ischemic stroke in patients over 65 years old, ASA II, not taking aspirin before surgery, without a history of stroke, who had neurosurgery, non-emergency surgery, and were admitted to ICU after surgery.

conclusionsOur study indicates that low preoperative PNI is significantly associated with a higher incidence of ischemic stroke in patients undergoing non-cardiac surgery. Preoperative PNI, as a preoperative nutritional status evaluation index, is an independent risk factor useful to predict perioperative ischemic stroke risk, which could be used as an intervenable preoperative clinical biochemical index to reduce the incidence of perioperative ischemic stroke.

Indexed as

Ischemic StrokeNutrition AssessmentAgedHumansPrognosisRetrospective StudiesRisk FactorsIntervention targetPerioperative ischemic strokePostoperative complicationPredictorPrognostic Nutritional Index (PNI)

Identifiers

PMID37563630
PMCPMC10413636
OpenAlexW4385721337

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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.