Improving the prognostic value of ∆PCO2 following cardiac surgery: a prospective pilot study.
J Clin Monit Comput
; 34(3): 515-523, 2020 Jun.
Article
en En
| MEDLINE
| ID: mdl-31292833
ABSTRACT
Conflicting results have been published on prognostic significance of central venous to arterial PCO2 difference (∆PCO2) after cardiac surgery. We compared the prognostic value of ∆PCO2 on intensive care unit (ICU) admission to an original algorithm combining ∆PCO2, ERO2 and lactate to identify different risk profiles. Additionally, we described the evolution of ∆PCO2 and its correlations with ERO2 and lactate during the first postoperative day (POD1). In this monocentre, prospective, and pilot study, 25 patients undergoing conventional cardiac surgery were included. Central venous and arterial blood gases were collected on ICU admission and at 6, 12 and 24 h postoperatively. High ∆PCO2 (≥ 6 mmHg) on ICU admission was found to be very frequent (64% of patients). Correlations between ∆PCO2 and ERO2 or lactate for POD1 values and variations were weak or non-existent. On ICU admission, a high ∆PCO2 did not predict a prolonged ICU length of stay (LOS). Conversely, a significant increase in both ICU and hospital LOS was observed in high-risk patients identified by the algorithm 3.5 (3.0-6.3) days versus 7.0 (6.0-8.0) days (p = 0.01) and 12.0 (8.0-15.0) versus 8.0 (8.0-9.0) days (p < 0.01), respectively. An algorithm incorporating ICU admission values of ∆PCO2, ERO2 and lactate defined a high-risk profile that predicted prolonged ICU and hospital stays better than ∆PCO2 alone.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Complicaciones Posoperatorias
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Pronóstico
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Análisis de los Gases de la Sangre
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Procedimientos Quirúrgicos Cardíacos
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Unidades de Cuidados Intensivos
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Monitoreo Fisiológico
Tipo de estudio:
Observational_studies
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Prognostic_studies
/
Risk_factors_studies
Límite:
Aged
/
Female
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Humans
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Male
/
Middle aged
Idioma:
En
Revista:
J Clin Monit Comput
Asunto de la revista:
INFORMATICA MEDICA
/
MEDICINA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Francia