Evidence map›Paper›PMID 42149798›Full record

ArticleCardiology2026

Cardiogenic Shock: Outcome Patterns Across the Body Mass Spectrum and Renal Vulnerability.

Priyanka Boettger, Vincent Groesser, Karolis Macius, Shahed Al Zoghool, Hassan Hassan, Joerg Yogarajah, Jamschid Sedighi, Utku Bayram, Matthias Janusch, Pascal Bauer and 3 more

Abstract read
In one paragraph

Article in Cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Priyanka BoettgerDepartment of Internal Medicine I, Cardiology, Critical Care Medicine, Justus-Liebig University, Giessen, Germany, priyanka.boettger@uni-giessen.de.
Vincent GroesserDepartment of Internal Medicine I, Cardiology, Critical Care Medicine, Justus-Liebig University, Giessen, Germany.
Karolis MaciusDepartment of Internal Medicine I, Cardiology, Critical Care Medicine, Justus-Liebig University, Giessen, Germany.
Shahed Al ZoghoolDepartment of Internal Medicine I, Cardiology, Critical Care Medicine, Justus-Liebig University, Giessen, Germany.
Hassan HassanDepartment of Internal Medicine I, Cardiology, Critical Care Medicine, Justus-Liebig University, Giessen, Germany.
Joerg YogarajahDepartment of Cardiology, Kerckhoff Heart Center, Campus Kerckhoff, Justus Liebig University Giessen, Bad Nauheim, Germany.
Jamschid SedighiDepartment of Internal Medicine I, Cardiology, Critical Care Medicine, Justus-Liebig University, Giessen, Germany.
Utku BayramDepartment of Internal Medicine II, Nephrology, Justus-Liebig University, Giessen, Germany.
Matthias JanuschDepartment of Internal Medicine II, Cardiology, Angiology and Critical Care Medicine, St. Marien Hospital Siegen, Siegen, Germany.
Pascal BauerDepartment of Internal Medicine I, Cardiology, Critical Care Medicine, Justus-Liebig University, Giessen, Germany.
Henning LemmDepartment of Cardiology, Kerckhoff Heart Center, Campus Kerckhoff, Justus Liebig University Giessen, Bad Nauheim, Germany.
Samuel SossallaDepartment of Internal Medicine I, Cardiology, Critical Care Medicine, Justus-Liebig University, Giessen, Germany.
Michael BuerkeDepartment of Internal Medicine II, Cardiology, Angiology and Critical Care Medicine, St. Marien Hospital Siegen, Siegen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe relationship between body mass index (BMI) and acute kidney injury (AKI) and mortality in infarction-related cardiogenic shock (CS) remains uncertain. We investigated the association between BMI and renal and short-term clinical outcomes in patients with infarction-related CS.

methodsIn this retrospective single-center cohort study, 369 consecutive patients with infarction-related CS were included. BMI was analyzed as the exposure variable and modeled both continuously and according to World Health Organization categories. AKI within 96 h, defined according to Kidney Disease: Improving Global Outcomes creatinine-based criteria, and in-hospital mortality were the primary outcomes; renal replacement therapy (RRT) was a secondary outcome. Associations were assessed using multivariable logistic regression adjusted for prespecified confounders, including age, sex, diabetes mellitus, chronic kidney disease, and baseline estimated glomerular filtration rate. Nonlinear relationships were explored using restricted cubic spline analyses.

resultsAKI occurred in 158 patients (42.8%). Higher BMI, modeled as a continuous variable, was associated with an increased risk of AKI (adjusted OR 1.34 per 5 kg/m2; 95% CI, 1.06-1.69; p = 0.012). RRT was more frequently required in patients with obesity than in those with normal weight (18.5% vs. 8.6%; p = 0.018). When analyzed categorically, overweight (BMI 25.0-29.9 kg/m2) was associated with lower in-hospital mortality compared with normal weight (adjusted OR 0.66; 95% CI, 0.45-0.95; p = 0.028), whereas obesity was not independently associated with mortality. Nonlinear modeling suggested a U-shaped relationship between BMI and both AKI and in-hospital mortality, with the lowest estimated risk at intermediate BMI levels.

conclusionIn patients with infarction-related CS, BMI was associated with both renal outcomes and in-hospital mortality. Higher BMI was linked to increased renal vulnerability, whereas overweight was associated with lower mortality. These findings should be interpreted cautiously given the observational design and the potential for residual confounding and reverse causation, particularly at lower BMI levels.

Indexed as

Acute kidney injuryAcute myocardial infarctionBody mass indexCardiogenic shockHeart failureIntensive care

Identifiers

PMID42149798
PMCPMC13387734

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.