Evidence map›Paper›PMID 42137694›Full record

ArticleCureus2026

Clinical Characteristics and Management Outcomes of Severe Multi-Valvular Rheumatic Heart Disease: A Hospital-Based Analysis.

Shraiya Stan, Ananjan Bhattacharya

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

2 authors.

Shraiya StanAccident and Emergency, Lal Bahadur Shastri Hospital, Delhi, IND.
Ananjan BhattacharyaAccident and Emergency, Cantonment General Hospital, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMulti-valvular involvement represents the most severe form of rheumatic heart disease (RHD), presenting complex clinical challenges requiring a comprehensive understanding for optimal patient management. In resource-limited settings, late presentation and inadequate secondary prophylaxis result in advanced disease with high complication burdens.

objectiveTo analyze the clinical presentation, diagnostic findings, treatment strategies, and outcomes, specifically in-hospital complication rates, mortality, functional improvement, and six-month follow-up outcomes in patients with severe multi-valvular RHD presenting to secondary and tertiary academic centers in Delhi, India.

methodsA retrospective observational analysis was conducted of 385 consecutive patients with severe multi-valvular RHD admitted to Lal Bahadur Shastri Hospital and Dr. Ram Manohar Lohia Hospital, New Delhi, between September 2023 and September 2025. Clinical data, echocardiographic parameters, laboratory findings, treatment protocols, and outcomes were systematically reviewed and analyzed.

resultsMean age was 31.2 ± 7.4 years; 68% were female. The majority (57%) presented with New York Heart Association Functional Classification (NYHA) Class III-IV symptoms. Atrial fibrillation was documented in 58%, severe pulmonary hypertension (>60 mmHg) in 82%, and right ventricular dysfunction in 69%. Healthcare-associated infections occurred in 23%, including MRSA bacteremia in 12%. In-hospital mortality was 3.4%; 6-month mortality was 7.2%. Admissions peaked during monsoon months (18% higher case volume).  Conclusion: Severe multi-valvular rheumatic heart disease (RHD) presents complex management challenges requiring comprehensive evaluation and multidisciplinary care. Early recognition of complications and timely intervention are crucial for improving outcomes in this high-risk population.

Indexed as

atrial fibrillationhealthcare-associated infectionsmulti-valvular diseasepulmonary hypertensionrheumatic heart disease

Identifiers

PMID42137694
PMCPMC13169936

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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.