Evidence map›Paper›PMID 39662748›Full record

Observational studyInternational journal of cardiology2025

Clustering regional patterns of left ventricular longitudinal strain in systemic sclerosis-related pulmonary hypertension.

Justin K Lui, Matthew Cozzolino, Morgan Winburn, Marcin A Trojanowski, Renda Soylemez Wiener, Michael P LaValley, Andreea M Bujor, Deepa M Gopal, Elizabeth S Klings

Abstract readObservational Study
In one paragraph

Observational study in International journal of cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
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

9 authors.

Justin K LuiThe Pulmonary Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA. Electronic address: justin.lui@bmc.org.
Matthew CozzolinoSection of Cardiovascular Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Morgan WinburnSection of Cardiovascular Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Marcin A TrojanowskiSection of Rheumatology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Renda Soylemez WienerThe Pulmonary Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Center for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Boston, MA, USA.
Michael P LaValleySection of Rheumatology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Andreea M BujorSection of Rheumatology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Deepa M GopalSection of Cardiovascular Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Elizabeth S KlingsThe Pulmonary Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Research and Evaluation Support Core Unit (RESCU Core)P30AR072571 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Michael Paul Lavalley · 2019 to 2026
$6.9M
The role of Fli1 in myeloid cells and its contribution to cardiac fibrosisR01HL155955 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BUJOR, ANDREEA MONICA · 2021 to 2025
$2.1M
1/2 Sickle Cell Disease and CardiovAscular Risk - Red cell Exchange Trial (SCD-CARRE Trial)UG3HL143192 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GLADWIN, MARK T, TRIULZI, DARRELL J · 2019 to 2019
$1.5M
NCATS NIH HHS UL1 TR001430NHLBI NIH HHS R01 HL155955NHLBI NIH HHS UG3 HL143192NIAMS NIH HHS P30 AR072571
6 · The paper itself

Abstract

backgroundSystemic sclerosis-related pulmonary hypertension (SSc-PH) is a heterogeneous disease, often complicated by concomitant left ventricular (LV) dysfunction. However, the contribution of heterogeneity in LV dysfunction is unclear. The objective in this study was to identify regional clusters of LV longitudinal strain via echocardiography to determine how subgroups of LV dysfunction contribute to mortality in SSc-PH.

methodsWe performed a retrospective observational study on 124 patients with SSc-PH in which LV longitudinal strain was collected over a 16-segment model. We applied K-means clustering to LV longitudinal strain at each segment using the Calinski-Harabasz index. Our primary outcome was time to all-cause mortality.

resultsPatients with SSc-PH were divided into two clusters (Cluster 1: N = 59; Cluster 2: N = 65). The most pronounced differences in longitudinal strain between each cluster were observed at the basal and mid segments, particularly at the interventricular septum. In comparison to Cluster 1, Cluster 2 was characterized by both regional and global reductions in LV and right ventricular (RV) free wall longitudinal strain, greater PH severity, and greater functional limitation by New York Heart Association with a hazard ratio of 2.06 (95 % CI: 1.21, 3.50) for all-cause mortality.

conclusionUsing K-means clustering of regional patterns of LV longitudinal strain, we identified a distinct phenotype of patients at increased risk for mortality. Most of the pronounced differences in longitudinal strain between each cluster were observed at the basal and mid segments, particularly at the interventricular septum.

Indexed as

Hypertension, PulmonaryScleroderma, SystemicVentricular Dysfunction, LeftAdultAgedCluster AnalysisEchocardiographyFemaleFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesK-means clusteringRisk stratificationSpeckle-tracking echocardiography

Identifiers

PMID39662748
PMCPMC11747944

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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 OpenQuestion graph.