Table 1 - uploaded by Povea Camilo
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Purpose:
The aim of this study was to determine the prevalence of physical inactivity and its associated factors in adult patients admitted to hospital for noncardiac surgery.
Design:
Cross-sectional study.
Methods:
Five hundred able-bodied patients (age ≥45 years) admitted to hospital, also participants in the VISION study, were recruited bef...
Context in source publication
Context 1
... dependent variable was physical inactivity, as defined by the International Physical Activity Questionnaire (IPAQ), which is when the PAL of the patient is less than 600 metabolic equivalent task (MET) min/week. We con- sidered as active those patients falling in the IPAQ cate- gories as both active (1,500-3,000 MET-min/week) and moderately active (600-1,400 MET-min/week), respec- tively (Table 1). We also measured energy expenditure (MET-min/week) based on the formula of the IPAQ Guidelines, taking into account frequency and intensity of the activity (Bassett, 2003;IPAQ, 2009). ...
Citations
Introducción:
El desacondicionamiento físico se asocia con disminución en la capacidad cardiorrespiratoria, aumento en el contenido de grasa corporal, e imbalances en respuesta inflamatoria, todos ellos factor de riesgo frente a la agresión de una intervención quirúrgica mayor. El valor de consumo de oxígeno (VO2max), el índice de masa corporal (IMC) y los valores plasmáticos de citoquinas de pacientes programados para una intervención quirúrgica mayor abdominal a menudo no se tienen en cuenta en la valoración prequirúrgica.
Objetivo:
Determinar la condición física e inflamatoria de pacientes que se trataron con una intervención quirúrgica mayor abdominal.
Métodos:
Investigación cuantitativa, descriptiva. Muestra por conveniencia de pacientes que se trataron con una intervención quirúrgica mayor abdominal en dos hospitales de Manizales (Colombia). Previo a la intervención, se midió VO2max, el IMC y valores de citoquinas.
Resultados:
Participaron en el estudio 6 hombres y 48 mujeres. Los valores promedio del VO2max se categorizaron como bajos. Se encontraron valores altos de IMC, del receptor antagonista de IL-1 (IL-1 Ra) y del factor neutrotrófico derivado del cerebro (BDNF). No se hallaron diferencias significativas en los valores promedio de VO2max, de IL-1Ra y de BDNF entre los grupos. Los pacientes programados para intervención quirúrgica ginecológica y gastrointestinal tuvieron sobrepeso y los programados para intervención quirúrgica bariátrica fueron obesos mórbidos.
Conclusión:
Pacientes programados para una intervención quirúrgica mayor abdominal presentan valores bajos de VO2max para la edad y altos de IMC. Se hallaron valores altos de IL-1Ra y de BDNF asociadas a obesidad y a posible antiinflamación.
Background:
Guidelines endorse self-reported functional capacity for preoperative cardiovascular assessment, although evidence for its predictive value is inconsistent. We hypothesised that self-reported effort tolerance improves prediction of major adverse cardiovascular events (MACEs) after noncardiac surgery.
Methods:
This is an international prospective cohort study (June 2017 to April 2020) in patients undergoing elective noncardiac surgery at elevated cardiovascular risk. Exposures were (i) questionnaire-estimated effort tolerance in metabolic equivalents (METs), (ii) number of floors climbed without resting, (iii) self-perceived cardiopulmonary fitness compared with peers, and (iv) level of regularly performed physical activity. The primary endpoint was in-hospital MACE consisting of cardiovascular mortality, non-fatal cardiac arrest, acute myocardial infarction, stroke, and congestive heart failure requiring transfer to a higher unit of care or resulting in a prolongation of stay on ICU/intermediate care (≥24 h). Mixed-effects logistic regression models were calculated.
Results:
In this study, 274 (1.8%) of 15 406 patients experienced MACE. Loss of follow-up was 2%. All self-reported functional capacity measures were independently associated with MACE but did not improve discrimination (area under the curve of receiver operating characteristic [ROC AUC]) over an internal clinical risk model (ROC AUCbaseline 0.74 [0.71-0.77], ROC AUCbaseline+4METs 0.74 [0.71-0.77], ROC AUCbaseline+floors climbed 0.75 [0.71-0.78], AUCbaseline+fitnessvspeers 0.74 [0.71-0.77], and AUCbaseline+physical activity 0.75 [0.72-0.78]).
Conclusions:
Assessment of self-reported functional capacity expressed in METs or using the other measures assessed here did not improve prognostic accuracy compared with clinical risk factors. Caution is needed in the use of self-reported functional capacity to guide clinical decisions resulting from risk assessment in patients undergoing noncardiac surgery.
Clinical trial registration:
NCT03016936.
