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Shah NM, Hart N, Kaltsakas G. Prolonged weaning from mechanical ventilation: who, what, when and how? Breathe (Sheff) 2024; 20:240122. [PMID: 39660085 PMCID: PMC11629167 DOI: 10.1183/20734735.0122-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Accepted: 10/16/2024] [Indexed: 12/12/2024] Open
Abstract
Weaning from invasive mechanical ventilation is an important part of the management of respiratory failure patients. Patients can be classified into those who wean on the first attempt (simple weaning), those who require up to three attempts (difficult weaning) and those who require more than three attempts (prolonged weaning). The process of weaning includes adequately treating the underlying cause of respiratory failure, assessing the readiness to wean, evaluating the response to a reduction in ventilatory support, and eventually liberation from mechanical ventilation and extubation or decannulation. Post-extubation respiratory failure is a contributor to poorer outcomes. Identifying and addressing modifiable risk factors for post-extubation respiratory failure is important; noninvasive ventilation and high-flow nasal cannulae may be useful bridging aids after extubation. Factors to consider in the pathophysiology of prolonged mechanical ventilation include increased respiratory muscle load, reduced respiratory muscle capacity and reduced respiratory drive. Management of these patients involves a multidisciplinary team, to first identify the cause of failed weaning attempts, and subsequently optimise the patient's physiology to improve the likelihood of being successfully weaned from invasive mechanical ventilation.
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Affiliation(s)
- Neeraj M. Shah
- Lane Fox Respiratory Service, St Thomas’ Hospital, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Lane Fox Clinical Respiratory Physiology Centre, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Centre for Human and Applied Physiological Sciences (CHAPS), King's College London, London, UK
| | - Nicholas Hart
- Lane Fox Respiratory Service, St Thomas’ Hospital, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Lane Fox Clinical Respiratory Physiology Centre, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Centre for Human and Applied Physiological Sciences (CHAPS), King's College London, London, UK
| | - Georgios Kaltsakas
- Lane Fox Respiratory Service, St Thomas’ Hospital, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Lane Fox Clinical Respiratory Physiology Centre, Guy's and St Thomas’ NHS Foundation Trust, London, UK
- Centre for Human and Applied Physiological Sciences (CHAPS), King's College London, London, UK
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Wu CH, Lin FC, Jerng JS, Shin MH, Wang YC, Lee CJ, Lin LM, Lin NH, Kuo YW, Ku SC, Wu HD. Automatic tube compensation for liberation from prolonged mechanical ventilation in tracheostomized patients: A retrospective analysis. J Formos Med Assoc 2023; 122:1132-1140. [PMID: 37169656 DOI: 10.1016/j.jfma.2023.04.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 04/01/2023] [Accepted: 04/23/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND To analyze the predictability of an automatic tube compensation (ATC) screening test compared with the conventional direct liberation test performed before continuous oxygen support for MV liberation. METHODS This retrospective study analyzed tracheostomized patients with prolonged MV in a weaning unit of a medical center in Taiwan. In March 2020, a four-day ATC test to screen patient eligibility for ventilator liberation was implemented, intended to replace the direct liberation test. We compared the predictive accuracy of these two screening methods on the relevant outcomes in the two years before and one year after the implementation of this policy. RESULTS Of the 403 cases, 246 (61%) and 157 (39%) received direct liberation and ATC screening tests, respectively. These two groups had similar outcomes: successful weaning upon leaving the Respiratory Care Center (RCC), success on day 100 of MV, success at hospital discharge, and in-hospital survival. Receiver operating characteristic curve analysis showed that the ATC screening test had better predictive ability than the direct liberation test for RCC weaning, discharge weaning, 100-day weaning, and in-hospital survival. CONCLUSION This closed-circuit ATC screening test before ventilator liberation is a feasible and valuable method for screening PMV patients undergoing ventilator liberation in the pandemic era. Its predictability for a comparison with the open-circuit oxygen test requires further investigation.
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Affiliation(s)
- Chia-Hao Wu
- Department of Internal Medicine, National Taiwan University Hospital Hsin-chu Branch, Hsin-chu, Taiwan.
| | - Feng-Ching Lin
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
| | - Jih-Shuin Jerng
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
| | - Ming-Hann Shin
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
| | - Yi-Chia Wang
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
| | - Cheng-Jun Lee
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
| | - Li-Min Lin
- Department of Nursing, National Taiwan University Hospital, Taipei, Taiwan.
| | - Nai-Hua Lin
- Department of Nursing, National Taiwan University Hospital, Taipei, Taiwan.
| | - Yao-Wen Kuo
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
| | - Shih-Chi Ku
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
| | - Huey-Dong Wu
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
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Yao X, Zhang L, Huang L, Chen X, Geng L, Xu X. Development of a Nomogram Model for Predicting the Risk of In-Hospital Death in Patients with Acute Kidney Injury. Risk Manag Healthc Policy 2021; 14:4457-4468. [PMID: 34754252 PMCID: PMC8572105 DOI: 10.2147/rmhp.s321399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 10/08/2021] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE To analyze the risk factors of in-hospital death in patients with acute kidney injury (AKI) in the intensive care unit (ICU), and to develop a personalized risk prediction model. METHODS The clinical data of 137 AKI patients hospitalized in the ICU of Anhui provincial hospital from January 2018 to December 2020 were retrospectively analyzed. Patients were divided into two groups: those that survived to discharge ("survival" group, 100 cases) and those that died while in hospital ("death" group, 37 cases), and risk factors for in-hospital death analyzed. RESULTS The in-hospital mortality of AKI patients in the ICU was 27.01% (37/137). A multivariate logistic regression analysis indicated age, mechanical ventilation and vasoactive drugs were significant risk factors for in-hospital death in AKI patients, and a nomogram risk prediction model was developed. The Harrell's C-index of the nomogram model was 0.891 (95% CI: 0.837-0.945), and the area under the receiver operating characteristic (ROC) curve was 0.886 (95% CI: 0.823-0.936) after internal validation, indicating that the nomogram model had good discrimination. The Hosmer-Lemeshow goodness of fit test and calibration curve indicated the predicted probability of the nomogram model was consistent with the actual frequency of death in ICU patients with AKI. The decision curve analysis (DCA) showed that the clinical net benefit level of the nomogram model is highest when the probability threshold of AKI is between 0.01 and 0.75. CONCLUSION Patients in the ICU with AKI had high in-hospital mortality and were affected by a variety of risk factors. The nomogram prediction model based on the risk factors of AKI showed good prediction efficiency and clinical applicability, which could help medical staff in the ICU to identify AKI patients with high-risk, allowing early prevention, detection and intervention, and reducing the risk of in-hospital deaths in ICU patients with AKI.
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Affiliation(s)
- Xiuying Yao
- Department of Intensive Care Unit, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230036, People’s Republic of China
| | - Lixiang Zhang
- Department of Nursing DepartmeThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230036, People’s Republic of China
| | - Lei Huang
- Department of Intensive Care Unit, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230036, People’s Republic of China
| | - Xia Chen
- Department of Nursing DepartmeThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230036, People’s Republic of China
| | - Li Geng
- Department of Intensive Care Unit, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230036, People’s Republic of China
| | - Xu Xu
- Department of Intensive Care Unit, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230036, People’s Republic of China
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Lin SJ, Jerng JS, Kuo YW, Wu CL, Ku SC, Wu HD. Maximal expiratory pressure is associated with reinstitution of mechanical ventilation after successful unassisted breathing trials in tracheostomized patients with prolonged mechanical ventilation. PLoS One 2020; 15:e0229935. [PMID: 32155187 PMCID: PMC7064239 DOI: 10.1371/journal.pone.0229935] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 02/17/2020] [Indexed: 01/01/2023] Open
Abstract
Objective Reinstitution of mechanical ventilation (MV) for tracheostomized patients after successful weaning may occur as the care setting changes from critical care to general care. We aimed to investigate the occurrence, consequence and associated factors of MV reinstitution. Methods We analyzed the clinical data and physiological measurements of tracheostomized patients with prolonged MV discharged from the weaning unit to general wards after successful weaning to compare between those with and without in-hospital MV reinstitution within 60 days. Results Of 454 patients successfully weaned, 116 (25.6%) reinstituted MV at general wards within 60 days; at hospital discharge, 42 (36.2%) of them were eventually liberated from MV, 51 (44.0%) remained MV dependent, and 33 (28.4%) died. Of the 338 patients without reinstitution within 60 days, only 3 (0.9%) were later reinstituted with MV before discharge (on day 67, 89 and 136 at general wards, respectively), and 322 (95.2%) were successfully weaned again at discharge, while 13 (3.8%) died. Patients with MV reinstitution had a significantly lower level of maximal expiratory pressure (PEmax) before unassisted breathing trial compared to those without reinstitution. Multivariable Cox regression analysis showed fever at RCC discharge (hazard ratio [HR] 14.00, 95% confidence interval [CI] 3.2–61.9) chronic obstructive pulmonary disease (HR 2.37, 95% CI 1.34–4.18), renal replacement therapy at the ICU (HR 2.29, 95% CI 1.50–3.49) and extubation failure before tracheostomy (HR 1.76, 95% CI 1.18–2.63) were associated with increased risks of reinstitution, while PEmax > 30 cmH2O (HR 0.51, 95% CI 0.35–0.76) was associated with a decreased risk of reinstitution. Conclusions The reinstitution of MV at the general ward is significant, with poor outcomes. The PEmax measured before unassisted breathing trial was significantly associated with the risk of reinstituting MV at the general wards.
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Affiliation(s)
- Shwu-Jen Lin
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan
| | - Jih-Shuin Jerng
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- * E-mail:
| | - Yao-Wen Kuo
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan
| | - Chao-Ling Wu
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan
| | - Shih-Chi Ku
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Huey-Dong Wu
- Department of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan
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Frengley JD, Sansone GR, Kaner RJ. Chronic Comorbid Illnesses Predict the Clinical Course of 866 Patients Requiring Prolonged Mechanical Ventilation in a Long-Term, Acute-Care Hospital. J Intensive Care Med 2018; 35:745-754. [PMID: 30270713 DOI: 10.1177/0885066618783175] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To determine whether burdens of chronic comorbid illnesses can predict the clinical course of prolonged mechanical ventilation (PMV)patients in a long-term, acute-care hospital (LTACH). METHODS Retrospective study of 866 consecutive PMV patients whose burdens of chronic comorbid illnesses were quantified using the Cumulative Illness Rating Scale (CIRS). Based on increasing CIRS scores, 6 groups were formed and compared: group A (≤25; n = 97), group B (26-28; n = 105), group C (29-31; n = 181), group D (32-34; n = 208), group E (35-37; n = 173), and group F (>37; n = 102). RESULTS As CIRS scores increased from group A to group F, rates of weaning success, home discharges, and LTACH survival declined progressively from 74% to 17%, 48% to 0%, and 79% to 21%, respectively (all P < .001). Negative correlations between the mean score of each CIRS group and correspondent outcomes also supported patients' group allocation and an accurate prediction of their clinical course (all P < .01). Long-term survival progressively declined from a median survival time of 38.9 months in group A to 3.2 months in group F (P < .001). Compared to group A, risk of death was 75% greater in group F (P = .03). Noteworthy, PMV patients with CIRS score <25 showed greater ability to recover and a low likelihood of becoming chronically critically ill. Diagnostic accuracy of CIRS to predict likelihood of weaning success, home discharges, both LTACH and long-term survival was good (area under the curves ≥0.71; all P <.001). CONCLUSIONS The burden of chronic comorbid illnesses was a strong prognostic indicator of the clinical course of PMV patients. Patients with lower CIRS values showed greater ability to recover and were less likely to become chronically critically ill. Thus, CIRS can be used to help guide clinicians caring for PMV patients in transfer decisions to and from postacute care setting.
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Affiliation(s)
- J Dermot Frengley
- Clinical Outcomes Research Group, Coler Rehabilitation and Nursing Care Center, Roosevelt Island, NY, USA.,Division of Geriatrics and Gerontology, Weill Cornell Medical College, New York city, NY, USA
| | - Giorgio R Sansone
- Clinical Outcomes Research Group, Coler Rehabilitation and Nursing Care Center, Roosevelt Island, NY, USA
| | - Robert J Kaner
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York City, NY, USA.,Department of Genetic Medicine, Weill Cornell Medical College, NY, USA
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