Evidence map›Paper›PMID 36329534›Full record

ArticleEuropean journal of medical research2022

Evaluation of SI, MSI and DSI for very early (3-day) mortality in patients with septic shock.

Tie-Ning Zhang, Peng-Hui Hao, Shan-Yan Gao, Chun-Feng Liu, Ni Yang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06415006 (Can Shock Indices Be Prognostic Indicators in Sepsis/Septic Shock?), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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.

NCT06415006 completednot on this map

Can Shock Indices Be Prognostic Indicators in Sepsis/Septic Shock?

TypeobservationalSponsorBaşakşehir Çam & Sakura City HospitalRan2012 to 2024Enrolled1,522ConditionsShock, Septic, Hemodynamic InstabilityArmsMeasurement of hemodynamic parameters.
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Beyond the Mean: The Dynamic Fingerprint of Vasoplegia in Septic Shock.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  2. Temporal Analysis of Diastolic Shock Index in Patients with Septic Shock and Its Correlation with Clinical Outcomes in an Indian Setting: A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  3. Review
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

5 authors at 1 institution in 1 country.

Tie-Ning Zhang *Department of Pediatrics, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, People's Republic of China.
Peng-Hui Hao *Department of Pediatrics, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, People's Republic of China.
Shan-Yan GaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Chun-Feng LiuDepartment of Pediatrics, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, People's Republic of China.
Ni YangDepartment of Pediatrics, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, People's Republic of China. yangni616@hotmail.com.
China Medical University · CN

Funding

345 Talent Program of Shengjing Hospital of China Medical University M0691345 Talent Program of Shengjing Hospital of China Medical University M0959Doctoral Start-up Foundation of Liaoning Province 2021-BS-107National Natural Science Foundation of China 82002021National Natural Science Foundation of China 82102254
6 · The paper itself

Abstract

backgroundSeptic shock is associated with increased mortality. Predicting mortality, including early prediction for septic shock patients in intensive care units (ICUs), remains an important challenge.

methodWe searched the Medical Information Mart for Intensive Care IV database. Odds ratios (ORs) with 95% confidence intervals (CIs) of the relationships between shock index (SI), modified SI (MSI), and diastolic SI (DSI) of patients with septic shock requiring vasopressors and 3-day/in-hospital mortality were calculated using logistic regression models. The time-course changes of these parameters were compared between survivors and non-survivors. The performance of the different parameters was described by the area under the receiver operating characteristic (ROC) curve (AUC) and compared with DeLong analysis.

resultsA total of 1266 patients with septic shock requiring vasopressors were identified. The 3-day mortality rate and in-hospital mortality rate were 8.7% and 23.5%, respectively. Multivariable logistic regression analysis showed significant associations between pre-vasopressor SI/MSI/DSI and 3-day mortality in patients with septic shock requiring vasopressors in fully adjusted models (Ps for trend < 0.01). The AUCs of pre-vasopressor SI, MSI, and DSI were 0.746, 0.710, and 0.732 for 3-day mortality, respectively. There were significant differences in the time-course of SI, MSI, and DSI between survivors and non-survivors at 3-day/in-hospital mortality among patients with septic shock requiring vasopressors (repeated-measures ANOVA, inter-subjects difference P < 0.001).

conclusionPre-vasopressor SI, MSI, and DSI values identified patients with septic shock requiring vasopressors who are at increased risk of early death. Of these easy-to-acquire values, SI and MSI show a comparatively better performance.

Indexed as

ShockShock, SepticArea Under CurveHospital MortalityHumansPrognosisRetrospective StudiesDiastolic shock indexModified shock indexMortalitySeptic shockShock index

Identifiers

PMID36329534
PMCPMC9632117
OpenAlexW4308432008

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Registered trials

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.