Posicionamiento sobre manejo perioperatorio y riesgo quirúrgico en el paciente con cirrosis
Bibliographic record
Abstract
El terreno del paciente con cirrosis que requiere una intervención quirúrgica ha sido poco explorado. En México, a la fecha no contamos con un posicionamiento formal o recomendaciones de expertos que ayuden a la toma de decisiones clínicas en este contexto. Revisar la evidencia existente sobre el riesgo, pronóstico, precauciones, cuidados especiales y manejo o proceder específico para los pacientes con cirrosis que requieren ser intervenidos quirúrgicamente o mediante procedimientos invasivos, para emitir recomendaciones por un panel experto, basadas en la mejor evidencia publicada para la atención oportuna, de calidad, eficiente y con el menor riesgo posible en este grupo específico de pacientes. Se obtuvieron 27 recomendaciones, en donde se abordan el terreno preoperatorio, el escenario transoperatorio y el seguimiento y cuidados postoperatorios. La valoración y el cuidado del paciente con cirrosis que requiere un procedimiento quirúrgico o invasivo mayor debe estar a cargo de un equipo multidisciplinario que brinde soporte al cirujano durante todo el perioperatorio; este equipo debe incluir al anestesiólogo, al hepatólogo, al gastroenterólogo y al nutriólogo clínico. En el paciente descompensado puede ser necesario involucrar especialistas en nefrología, ya que la función renal es un parámetro implicado también en el pronóstico de estos pacientes. Management of the patient with cirrhosis of the liver that requires surgical treatment has been relatively unexplored. In Mexico, there is currently no formal stance or expert recommendations to guide clinical decision-making in this context. The present position paper reviews the existing evidence on risks, prognoses, precautions, special care, and specific management or procedures for patients with cirrhosis that require surgical interventions or invasive procedures. Our aim is to provide recommendations by an expert panel, based on the best published evidence, and consequently ensure timely, quality, efficient, and low-risk care for this specific group of patients. Twenty-seven recommendations were developed that address preoperative considerations, intraoperative settings, and postoperative follow-up and care. The assessment and care of patients with cirrhosis that require major surgical or invasive procedures should be overseen by a multidisciplinary team that includes the anesthesiologist, hepatologist, gastroenterologist, and clinical nutritionist. With respect to decompensated patients, a nephrology specialist may be required, given that kidney function is also a parameter involved in the prognosis of these patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".