Article ; Online: Weaning patients with obesity from ventilatory support.
Current opinion in critical care
2022 Volume 27, Issue 3, Page(s) 311–319
Abstract: Purpose of review: Obesity prevalence is increasing in most countries in the world. In the United States, 42% of the population is obese (body mass index (BMI) > 30) and 9.2% is obese class III (BMI > 40). One of the greatest challenges in critically ... ...
Abstract | Purpose of review: Obesity prevalence is increasing in most countries in the world. In the United States, 42% of the population is obese (body mass index (BMI) > 30) and 9.2% is obese class III (BMI > 40). One of the greatest challenges in critically ill patients with obesity is the optimization of mechanical ventilation. The goal of this review is to describe respiratory physiologic changes in patients with obesity and discuss possible mechanical ventilation strategies to improve respiratory function. Recent findings: Individualized mechanical ventilation based on respiratory physiology after a decremental positive end-expiratory pressure (PEEP) trial improves oxygenation and respiratory mechanics. In a recent study, mortality of patients with respiratory failure and obesity was reduced by about 50% when mechanical ventilation was associated with the use of esophageal manometry and electrical impedance tomography (EIT). Summary: Obesity greatly alters the respiratory system mechanics causing atelectasis and prolonged duration of mechanical ventilation. At present, novel strategies to ventilate patients with obesity based on individual respiratory physiology showed to be superior to those based on standard universal tables of mechanical ventilation. Esophageal manometry and EIT are essential tools to systematically assess respiratory system mechanics, safely adjust relatively high levels of PEEP, and improve chances for successful weaning. |
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MeSH term(s) | Electric Impedance ; Humans ; Obesity/complications ; Obesity/therapy ; Positive-Pressure Respiration ; Pulmonary Atelectasis ; Respiration, Artificial/adverse effects |
Language | English |
Publishing date | 2022-07-01 |
Publishing country | United States |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review |
ZDB-ID | 1235629-3 |
ISSN | 1531-7072 ; 1070-5295 |
ISSN (online) | 1531-7072 |
ISSN | 1070-5295 |
DOI | 10.1097/MCC.0000000000000823 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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