Tuberculosis and the Heart
Bibliographic record
Abstract
Acquired tuberculosis continues to be a challenge worldwide. Although tuberculosis has been considered a global public health emergency, it remains poorly controlled in many countries. Despite being primarily a pulmonary disease, tuberculosis could involve the heart. This systematic review is part of the "Neglected Tropical Diseases and Other Infectious Diseases Involving the Heart" (the NET-Heart Project) initiative from the Interamerican Society of Cardiology. This project aims to review the cardiovascular involvement of these heterogeneous diseases, advancing original algorithms to help healthcare providers diagnose and manage cardiovascular complications. In tuberculosis, pericardium involvement is relatively common, especially in AIDS, and tuberculosis is the most common cause of constrictive pericarditis in endemic countries. Myocarditis and aortitis by tuberculosis are rare. Clinical manifestations of cardiovascular involvement by tuberculosis differ from those typically found for bacteria or viruses. Prevailing systemic symptoms and the pericarditis diagnostic index should be taken into account. An echocardiogram is the first step for diagnosing cardiovascular involvement; however, several image modalities can be used, depending on the suspected site of infection. Adenosine deaminase levels, gamma interferon, or polymerase chain reaction testing could be used to confirm tuberculosis infection; each has a high diagnostic performance. Antituberculosis chemotherapy and corticosteroids are treatment mainstays that significantly reduce mortality, constriction, and hospitalizations, especially in patients with HIV. In conclusion, tuberculosis cardiac involvement is frequent and could lead to heart failure, constrictive pericarditis, or death. Early detection of complications should be a cornerstone of overall management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".