Evidence map›Paper›PMID 40091946›Full record

ArticleCureus2025

Assessment of the Left Ventricular Dysfunction in Patients With Acromegaly Using Global Longitudinal Strain by Two-Dimensional Speckle Tracking Echocardiography and Tissue Doppler Imaging.

Dhanachand S Nameirakpam, Anupama Hegde, Himamshu Acharya, Pramila Kalra, Arun S Moirangthem

Abstract read
In one paragraph

Article in Cureus, 2025. 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

5 authors.

Dhanachand S NameirakpamCardiology, Regional Institute of Medical Sciences, Imphal, IND.
Anupama HegdeCardiology, M S Ramaiah Medical College, Bengaluru, IND.
Himamshu AcharyaEndocrinology and Metabolism, A.J. Institute of Medical Sciences, Mangaluru, IND.
Pramila KalraEndocrinology and Metabolism, M S Ramaiah Medical College, Bengaluru, IND.
Arun S MoirangthemBiostatistics, Regional Institute of Medical Sciences, Imphal, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Acromegaly is a rare disease resulting from excess growth hormone (GH) and insulin-like growth factor-1 (IGF1), with cardiovascular complications being frequently encountered, leading to increased morbidity and mortality. The aim of the study was to determine the frequency of left ventricular systolic dysfunction in patients with acromegaly using global longitudinal strain (GLS) by 2D speckle tracking echocardiography and also the frequency of left ventricular diastolic dysfunction by tissue Doppler imaging (TDI). Materials and method A cross-sectional study involving 20 acromegaly patients with normal left ventricular (LV) systolic function as measured by ejection fraction and 20 controls with age, sex, and comorbidities matched were included in the study from 2021 to 2023. All these patients underwent 2D speckle tracking echocardiography to assess GLS and TDI with conventional 2D Echocardiography to assess diastolic function. Results GLS was significantly lower in the acromegaly group, which was -15.79±2.54 (mean±SD), than in the control group, which was -17.47±0.98 (mean±SD) with p < 0.05, indicating significant LV systolic dysfunction in the acromegaly group. The majority of the acromegaly group had abnormal GLS (n=11; 55%). The majority of the acromegaly patients with increased left atrial volume index (LAVi) had abnormal GLS (n=8/11; 72.7%). Also, the majority of the acromegaly patients with increased LVMi had abnormal GLS (n=8/12; 66.66%). TDI study for diastolic dysfunction showed no significant difference between the acromegaly group and the control group (p > 0.05). LAVi in the acromegaly group was 31.35±6.22 (mean±SD), and in the control group was 27.00±4.81(mean±SD) with p < 0.05, which was statistically significant. LAVi was more in the active acromegaly group (4 males and 2 females) than inactive acromegaly group (3 males and 2 females). LVMi in the acromegaly group was 100.32±24.335 (mean±SD), and in the control group, it was 85.85±19.63 (mean±SD) with p < 0.05, indicating more LV hypertrophy. LVMi was more in the active (5 females and 4 males) than the inactive acromegaly group (2 females and 1 male). Statistical significance was observed in LVID between the acromegaly group, which was 4.75±0.52 (mean±SD), and the control group, which was 4.41±0.49 (mean±SD) with a p < 0.05. Septal medial early diastolic velocity (e` med) in the acromegaly group was 0.08±0.03 (mean±SD), and in the control group was 0.10±0.02 (mean±SD) with p < 0.05, which was statistically significant. The multiple linear regression analysis revealed that acromegaly, hypertension, and higher body surface were the most important predictors of abnormal GLS. Conclusions Abnormal GLS indicating subclinical LV systolic dysfunction in patients with acromegaly can be evaluated by 2D speckle tracking echocardiography. Active acromegaly patients had more abnormal GLS, increased LAVi, and increased LVMi than inactive acromegaly patients. LV diastolic dysfunction was not remarkable when the acromegaly group and control group were assessed as the comorbidities were matched. The presence of acromegaly, hypertension, and higher body surface area had a significant negative effect on GLS.

Indexed as

2-dimensional echocardiographyacromegaly complicationsglobal longitudinal straingrowth hormone excessleft atrial volume indexleft ventricular mass indexleft ventricular systolic dysfunctionspeckle tracking echocardiography

Identifiers

PMID40091946
PMCPMC11909789

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.