What is the clinical evidence from this study?

Study design: Observational. Population: Interventricular septal hypertrophy (IVSH) (n=1097). Intervention: Joint-IVSH diagnostic model vs. ECG-IVSH and Clinic-IVSH models. Primary outcome: Detection of IVSH (AUC 0.859, 95% CI 0.826-0.880).

What does this research mean for the field?

A joint diagnostic model combining electrocardiographic parameters, particularly V1 lead R-wave duration, and clinical factors accurately detects interventricular septal hypertrophy with an AUC of 0.859. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop and validate a diagnostic risk model integrating electrocardiographic parameters and clinical variables to detect interventricular septal hypertrophy.

September 8, 2026BMC Cardiovascular DisordersOpen Access

The Joint-IVSH model accurately detects interventricular septal hypertrophy with an AUC of ~0.86.

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Why the study?

Interventricular septal hypertrophy is an early-stage alteration of left ventricular hypertrophy and a major risk factor for fatal arrhythmias and heart failure, motivating a diagnostic model to detect it.

Does a combined diagnostic model of ECG parameters and clinical factors improve the detection of interventricular septal hypertrophy compared to either alone?

Population

1097 participants grouped according to the presence or absence of IVSH

Comparison

Joint-IVSH model vs ECG-IVSH model vs Clinic-IVSH model

Design

Diagnostic model development and validation study

Key result

The Joint-IVSH diagnostic model accurately detected interventricular septal hypertrophy with a sensitivity of 76.7%, specificity of 82.1%, and an AUC of 0.859 (95% CI 0.826-0.880).

Authors

SDSiyi Deng ZHZhuoqiao He XTXuerui Tan

Discussion

Member takes

Overview

Joint-IVSH model shows moderate accuracy for IVSH detection; hypothesis-generating and requires prospective validation before clinical adoption.

Key Points

To develop and validate a diagnostic risk model integrating electrocardiographic parameters and clinical variables to detect interventricular septal hypertrophy.
Evaluated 1,097 participants categorized by the presence or absence of interventricular septal hypertrophy confirmed via echocardiography.
Trained and compared three logistic regression models: an ECG-only model, a clinical-only model, and a combined Joint-IVSH model.
Evaluated performance using the area under the receiver operating characteristic curve (AUROC), calibration curves, decision curve analysis, and SHapley Additive exPlanations (SHAP).
The Joint-IVSH model yielded the highest accuracy, achieving an AUC of 0.859 (95% CI, 0.826–0.880) with a sensitivity of 76.7% and a specificity of 82.1%.
SHAP feature importance analysis identified V1 lead R-wave duration as the primary predictor, supported by V1 lead R-wave area, age, body surface area, hypertension, smoking status, and drinking status.

Study Design

Type

Observational (n=1,097)

Structured PICO

Does a combined diagnostic model of ECG parameters and clinical factors improve the detection of interventricular septal hypertrophy compared to either alone?

Population

1,097 participants evaluated for the presence or absence of interventricular septal hypertrophy to develop and validate a diagnostic model.

Exposure

Joint-IVSH diagnostic model combining electrocardiographic parameters (V1 lead R-wave duration, V1 lead R-wave area) and clinical factors (age, body surface area, hypertension history, smoking status, drinking status)

Comparator

Models using only electrocardiographic parameters (ECG-IVSH) or only clinical factors (Clinic-IVSH)

Outcome

Diagnostic accuracy for IVSH (measured by AUROC, sensitivity, specificity) compared to echocardiography gold standardsurrogate

Main Result

Effect estimate: AUC 0.859 (95% CI 0.826-0.880)

A diagnostic model combining specific ECG parameters and clinical factors can accurately detect interventricular septal hypertrophy, potentially aiding early clinical judgment.

Cite This Study

Deng et al. (2026) conducted an observational in Interventricular septal hypertrophy (IVSH) (n=1,097). Joint-IVSH diagnostic model vs. ECG-IVSH and Clinic-IVSH models was evaluated on Detection of IVSH (AUC 0.859, 95% CI 0.826-0.880). The Joint-IVSH diagnostic model accurately detected interventricular septal hypertrophy with a sensitivity of 76.7%, specificity of 82.1%, and an AUC of 0.859 (95% CI 0.826-0.880).

synapsesocial.com/papers/6a9fc6ea684b366da041e520 https://doi.org/10.1186/s12872-026-06465-6

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September 8, 2026BMC Cardiovascular DisordersOpen Access

The Joint-IVSH model accurately detects interventricular septal hypertrophy with an AUC of ~0.86.

View Full Paper

Ask AI

Bookmark

Why the study?

Does a combined diagnostic model of ECG parameters and clinical factors improve the detection of interventricular septal hypertrophy compared to either alone?

Population

1097 participants grouped according to the presence or absence of IVSH

Comparison

Joint-IVSH model vs ECG-IVSH model vs Clinic-IVSH model

Design

Diagnostic model development and validation study

Key result

The Joint-IVSH diagnostic model accurately detected interventricular septal hypertrophy with a sensitivity of 76.7%, specificity of 82.1%, and an AUC of 0.859 (95% CI 0.826-0.880).

Authors

SDSiyi Deng ZHZhuoqiao He XTXuerui Tan

Discussion

Member takes

Overview

Joint-IVSH model shows moderate accuracy for IVSH detection; hypothesis-generating and requires prospective validation before clinical adoption.

Key Points

To develop and validate a diagnostic risk model integrating electrocardiographic parameters and clinical variables to detect interventricular septal hypertrophy.
Evaluated 1,097 participants categorized by the presence or absence of interventricular septal hypertrophy confirmed via echocardiography.
Trained and compared three logistic regression models: an ECG-only model, a clinical-only model, and a combined Joint-IVSH model.
Evaluated performance using the area under the receiver operating characteristic curve (AUROC), calibration curves, decision curve analysis, and SHapley Additive exPlanations (SHAP).
The Joint-IVSH model yielded the highest accuracy, achieving an AUC of 0.859 (95% CI, 0.826–0.880) with a sensitivity of 76.7% and a specificity of 82.1%.
SHAP feature importance analysis identified V1 lead R-wave duration as the primary predictor, supported by V1 lead R-wave area, age, body surface area, hypertension, smoking status, and drinking status.

Study Design

Type

Observational (n=1,097)

Structured PICO

Does a combined diagnostic model of ECG parameters and clinical factors improve the detection of interventricular septal hypertrophy compared to either alone?

Population

1,097 participants evaluated for the presence or absence of interventricular septal hypertrophy to develop and validate a diagnostic model.

Exposure

Comparator

Models using only electrocardiographic parameters (ECG-IVSH) or only clinical factors (Clinic-IVSH)

Outcome

Diagnostic accuracy for IVSH (measured by AUROC, sensitivity, specificity) compared to echocardiography gold standardsurrogate

Main Result

Effect estimate: AUC 0.859 (95% CI 0.826-0.880)

A diagnostic model combining specific ECG parameters and clinical factors can accurately detect interventricular septal hypertrophy, potentially aiding early clinical judgment.

Cite This Study

synapsesocial.com/papers/6a9fc6ea684b366da041e520 https://doi.org/10.1186/s12872-026-06465-6

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