What question did this study set out to answer?

This analysis focuses on the clinical presentation and management outcomes in patients with severe multi-valvular rheumatic heart disease.

April 15, 2026CureusOpen Access

Severe multi-valvular RHD is linked to ~3% in-hospital mortality alongside frequent severe pulmonary hypertension and AF.

Q: What is the clinical evidence from this study?

Study design: Observational. Population: Severe multi-valvular rheumatic heart disease (n=385). Primary outcome: In-hospital mortality.

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Why the study?

Multi-valvular RHD represents the most severe form of the disease with complex management challenges, often leading to advanced disease and high complication burdens in resource-limited settings.

Population

385 consecutive patients with severe multi-valvular RHD in New Delhi, India

Design

Retrospective observational study

Follow-up

6 months

Key result

Severe multi-valvular rheumatic heart disease presented with high rates of severe pulmonary hypertension (82%) and atrial fibrillation (58%), resulting in a 3.4% in-hospital mortality rate.

Authors

SSShraiya Stan ABAnanjan Bhattacharya

Discussion

Member takes

Overview

Calls for intensified prevention in RHD-endemic regions; reinforces advanced disease burden and leaves open targeted therapy trials.

Key Points

This analysis focuses on the clinical presentation and management outcomes in patients with severe multi-valvular rheumatic heart disease.
Conducted a retrospective observational analysis of 385 patients with severe multi-valvular RHD.
Data collected from Lal Bahadur Shastri Hospital and Dr. Ram Manohar Lohia Hospital in New Delhi.
Clinical data, echocardiographic parameters, laboratory findings, and treatment protocols were reviewed.
Mean patient age was 31.2 years; 68% were female.
57% of patients presented with NYHA Class III-IV symptoms.
Atrial fibrillation was present in 58%; severe pulmonary hypertension in 82%; right ventricular dysfunction in 69%.
In-hospital mortality rate was 3.4%, and 6-month mortality was 7.2%.

Study Design

Type

Observational (n=385)

Multicenter

Yes

Structured PICO

Population

385 consecutive patients with severe multi-valvular rheumatic heart disease (RHD) admitted to secondary and tertiary academic centers in Delhi, India. Mean age 31.2 ± 7.4 years, 68% female.

Outcome

In-hospital complication rates, mortality, functional improvement, and six-month follow-up outcomeshard clinical

Severe multi-valvular rheumatic heart disease in resource-limited settings presents with advanced complications and significant short-term mortality, highlighting the need for early recognition and timely intervention.

Limitations

Used only descriptive statistics without inferential testing, regression modeling, or multivariable adjustment
Referral bias toward more severe and complex cases due to the specialized academic referral center setting
Selection bias introduced by the ≥7-day hospital stay inclusion criterion, which excluded milder cases and rapidly fatal cases
Incomplete six-month follow-up data (only 67% of discharged patients had available data)
Retrospective design limits data quality to medical record documentation and introduces recall bias for historical variables
Resource constraints in the public hospital setting may limit applicability to better-resourced healthcare systems

Cite This Study

Stan et al. (2026) conducted an observational in Severe multi-valvular rheumatic heart disease (n=385). Severe multi-valvular rheumatic heart disease presented with high rates of severe pulmonary hypertension (82%) and atrial fibrillation (58%), resulting in a 3.4% in-hospital mortality rate.

synapsesocial.com/papers/69df2cf7e4eeef8a2a6b20c4 https://doi.org/10.7759/cureus.106946

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April 15, 2026CureusOpen Access

Severe multi-valvular RHD is linked to ~3% in-hospital mortality alongside frequent severe pulmonary hypertension and AF.

View Full Paper

Ask AI

Bookmark

Why the study?

Multi-valvular RHD represents the most severe form of the disease with complex management challenges, often leading to advanced disease and high complication burdens in resource-limited settings.

Population

385 consecutive patients with severe multi-valvular RHD in New Delhi, India

Design

Retrospective observational study

Follow-up

6 months

Key result

Severe multi-valvular rheumatic heart disease presented with high rates of severe pulmonary hypertension (82%) and atrial fibrillation (58%), resulting in a 3.4% in-hospital mortality rate.

Authors

SSShraiya Stan ABAnanjan Bhattacharya

Discussion

Member takes

Overview

Calls for intensified prevention in RHD-endemic regions; reinforces advanced disease burden and leaves open targeted therapy trials.

Key Points

This analysis focuses on the clinical presentation and management outcomes in patients with severe multi-valvular rheumatic heart disease.
Conducted a retrospective observational analysis of 385 patients with severe multi-valvular RHD.
Data collected from Lal Bahadur Shastri Hospital and Dr. Ram Manohar Lohia Hospital in New Delhi.
Clinical data, echocardiographic parameters, laboratory findings, and treatment protocols were reviewed.
Mean patient age was 31.2 years; 68% were female.
57% of patients presented with NYHA Class III-IV symptoms.
Atrial fibrillation was present in 58%; severe pulmonary hypertension in 82%; right ventricular dysfunction in 69%.
In-hospital mortality rate was 3.4%, and 6-month mortality was 7.2%.

Study Design

Type

Observational (n=385)

Multicenter

Yes

Structured PICO

Population

385 consecutive patients with severe multi-valvular rheumatic heart disease (RHD) admitted to secondary and tertiary academic centers in Delhi, India. Mean age 31.2 ± 7.4 years, 68% female.

Outcome

In-hospital complication rates, mortality, functional improvement, and six-month follow-up outcomeshard clinical

Limitations

Used only descriptive statistics without inferential testing, regression modeling, or multivariable adjustment
Referral bias toward more severe and complex cases due to the specialized academic referral center setting
Selection bias introduced by the ≥7-day hospital stay inclusion criterion, which excluded milder cases and rapidly fatal cases
Incomplete six-month follow-up data (only 67% of discharged patients had available data)
Retrospective design limits data quality to medical record documentation and introduces recall bias for historical variables
Resource constraints in the public hospital setting may limit applicability to better-resourced healthcare systems

Cite This Study

synapsesocial.com/papers/69df2cf7e4eeef8a2a6b20c4 https://doi.org/10.7759/cureus.106946

Also Consider

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