Submitted:
23 May 2025
Posted:
26 May 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Methods
2.1. Study Design and Setting
2.2. Ethical Consideration
2.3. Participants and Recruitment
2.4. Data Collection
2.5. Outcome Measures
2.6. Statistical Analysis
3. Results
4. Discussion
4.1. Strengths and Limitations
5. Conclusion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| ABG | Arterial Blood Gas |
| ARDS | Acute Respiratory Distress Syndrome |
| BUN | Blood Urea Nitrogen |
| CDyn | Dynamic Compliance |
| CStat | Static Compliance |
| COPD | Chronic Obstructive Pulmonary Disease |
| ED | Emergency Department |
| EtCO₂ | End-Tidal Carbon Dioxide |
| VD/VT | Dead Space to Tidal Volume Ratio |
| FiO₂ | Fraction of Inspired Oxygen |
| Hb | Hemoglobin |
| IWI | Integrative Weaning Index |
| MV | Mechanical Ventilation |
| OHS | Obesity Hypoventilation Syndrome |
| PaCO₂ | Partial Arterial Carbon Dioxide Pressure |
| PaO₂ | Partial Arterial Oxygen Pressure |
| PAO₂ | Partial Alveolar Oxygen Pressure |
| PEEP | Positive End-Expiratory Pressure |
| Pmax | Peak Inspiratory Pressure |
| Pplato | Plateau Pressure |
| RF | Respiratory Failure |
| RR | Respiratory Rate |
| RSBI | Rapid Shallow Breathing Index |
References
- Battaglini, D.; Sottano, M.; Ball, L.; Robba, C.; Rocco, P.R.M.; Pelosi, P.; et al. Ten golden rules for individualized mechanical ventilation in acute respiratory distress syndrome. J. Intensive Med. 2021, 1, 42–51. [Google Scholar] [CrossRef] [PubMed]
- Kim, G.; Kim, Y.; Cho, J.; Park, J.; Lee, H.; Ryu, J.; et al. Impact of the timing of invasive mechanical ventilation in patients with sepsis: A multicenter cohort study. Crit. Care, 2024; 28, 297. [Google Scholar]
- Parada-Gereda, H.M.; Higuera-Lucero, D.A.; González-Calatayud, D.M.; Soriano-Ardila, M.L.; Domínguez, J.D.; Durán-Cárdenas, L.E.; et al. Effectiveness of diaphragmatic ultrasound as a predictor of successful weaning from mechanical ventilation: A systematic review and meta-analysis. Crit. Care. 2023, 27, 174. [Google Scholar] [CrossRef] [PubMed]
- Shamil, P.; Jamil, K.; Roshni, P.; Mohammed, A.; Thomas, R.; Krishna, B.; et al. Prediction of weaning outcome from mechanical ventilation using diaphragmatic rapid shallow breathing index. Indian J. Crit. Care Med. 2022, 26, 1000. [Google Scholar] [PubMed]
- Swamy, A.H.M.; Kumar, P.S.; Reddy, K.N.; Nair, S.; Joseph, A.; Thomas, M.; et al. Rapid Shallow Breathing Index and ultrasonographic diaphragmatic parameters as predictors of weaning outcome in critically ill patients on mechanical ventilation. Ann. Afr. Med. 2025, 24, 79–85. [Google Scholar] [CrossRef]
- Bartos, S.; Svoboda, M.; Brat, K.; Lukes, M.; Predac, A.; Homolka, P.; et al. Causes of ventilatory inefficiency in lung resection candidates. ERJ Open Res. 2024, 10, 00792–2024. [Google Scholar] [CrossRef]
- Sakti, P.P.; Anjarwani, S. Weaning failure in mechanical ventilation: A literature review. Heart Sci. J. 2023, 4, 5–9. [Google Scholar]
- Nanayakkara, B.; McNamara, S. Pathophysiology of chronic hypercapnic respiratory failure. Sleep Med. Clin. 2024, 19, 379–389. [Google Scholar] [CrossRef]
- Ramadhan, A.R.; Alrashidi, Y.; Mahmoud, A.; Taqi, M.; Farhan, H.; Saleh, R.; et al. Obesity hypoventilation syndrome (Pickwickian syndrome): A literature review. Respir. Sci. 2024, 5, 48–61. [Google Scholar] [CrossRef]
- Eser, P.; Käesermann, D.; Calamai, P.; Rossi, S.; Muriel, A.; Berton, E.; et al. Excess ventilation and chemosensitivity in patients with inefficient ventilation and chronic coronary syndrome or heart failure: A case-control study. Front. Physiol. 2025, 15, 1509421. [Google Scholar] [CrossRef]
- Moura, J.C.d.S.; Oliveira, K.A.R.d.; Santos, A.S.S.; Ferreira, A.M.R.; Lima, R.C.; Silva, M.G.; et al. Extubation in the pediatric intensive care unit: Predictive methods—An integrative literature review. Rev. Bras. Ter. Intensiva. 2021, 33, 304–311. [Google Scholar] [CrossRef]
- Racca, F.; Longhitano, Y.; Viarengo, A.; Scotto, R.; Ball, L.; Pelosi, P.; et al. Invasive mechanical ventilation in traumatic brain injured patients with acute respiratory failure. Rev. Recent Clin. Trials. 2023, 18, 3–11. [Google Scholar] [CrossRef] [PubMed]
- Xu, B.-Q.; Si, Q.; Feng, Y.-P.; Guo, J.; Jiang, L.-P. Research progress in pulmonary rehabilitation in patients who have been weaned off mechanical ventilation: A review article. Technol. Health Care. 2024, 32, 2859–2864. [Google Scholar] [CrossRef] [PubMed]
- Bonifazi, M.; Romitti, F.; Busana, M.; Palumbo, M.M.; Steinberg, I.; Gattarello, S.; et al. End-tidal to arterial PCO₂ ratio: A bedside meter of the overall gas exchanger performance. Intensive Care Med. Exp. 2021, 9, 21. [Google Scholar] [CrossRef]
- Maj, R.; Comellini, V.; Bertelli, M.; Tonetti, T.; Vasques, F.; Romitti, F.; et al. Ventilatory ratio, dead space, and venous admixture in patients with acute respiratory distress syndrome. Br. J. Anaesth. 2023, 130, 360–367. [Google Scholar] [CrossRef]
- Wagner, P.D.; Malhotra, A.; Prisk, G.K. Using pulmonary gas exchange to estimate shunt and dead space in lung disease: Theoretical approach and practical basis. J. Appl. Physiol. 2022, 132, 1104–1113. [Google Scholar] [CrossRef]
- López-Fernández, Y.M.; Fernández, A. Weaning strategy of mechanical ventilation in prolonged mechanical ventilation in children. In Prolonged and Long-Term Mechanical Ventilation in Children; Springer, 2024, pp. 131–162.
- Vahedian-Azimi, A.; Moosavi, S.M.; Rahimibashar, F.; Shojaei, S.; Banach, M.; Miller, A.C.; et al. New integrated weaning indices from mechanical ventilation: A derivation-validation observational multicenter study. Front. Med. 2022, 9, 830974. [Google Scholar] [CrossRef]
- Santos, P.A.d.; Silva, M.A.; Oliveira, A.L.; Lima, L.N.; Fernandes, A.C.; Souza, J.P.; et al. Postextubation fluid balance is associated with extubation failure: A cohort study. Rev. Bras. Ter. Intensiva. 2021, 33, 422–427. [Google Scholar] [CrossRef]
- Trivedi, V.; Iyer, V.N.; Leung, G.; DeMerle, K.M.; Patel, B.K.; Gajic, O.; et al. The usefulness of the rapid shallow breathing index in predicting successful extubation: A systematic review and meta-analysis. Chest. 2022, 161, 97–111. [Google Scholar] [CrossRef]
- Lazzari, S.; Bonifazi, M.; Romitti, F.; Palumbo, M.M.; Busana, M.; Steinberg, I.; et al. End-tidal to arterial PCO₂ ratio as guide to weaning from venovenous extracorporeal membrane oxygenation. Am. J. Respir. Crit. Care Med. 2022, 206, 973–980. [Google Scholar] [CrossRef]
- Jiang, L.; Duan, J.; Wang, C.; Zhang, Y.; Liu, Y.; Yang, Y.; et al. Time-varying intensity of ventilatory inefficiency and mortality in patients with acute respiratory distress syndrome. Ann. Intensive Care. 2025, 15, 6. [Google Scholar] [CrossRef]
- Abbott, M.; Pereira, S.M.; Sanders, N.; Girard, M.; Sankar, A.; Sklar, M.C. Weaning from mechanical ventilation in the operating room: A systematic review. Br. J. Anaesth. 2024, 133, 424–436. [Google Scholar] [CrossRef] [PubMed]
- Chiumello, D.; Fioccola, A. Recent advances in cardiorespiratory monitoring in acute respiratory distress syndrome patients. J. Intensive Care. 2024, 12, 17. [Google Scholar] [CrossRef] [PubMed]
- Ghiani, A.; Muttini, S.; Longhini, F.; Della Corte, F.; Garofalo, E.; Navalesi, P.; et al. Mechanical power density, spontaneous breathing indexes, and weaning readiness following prolonged mechanical ventilation. Respir. Med. 2025, 107943. [Google Scholar] [CrossRef]
- 26 Sterr, F.; Reintke, M.; Bauernfeind, L.; Senyol, V.; Rester, C.; Metzing, S.; et al. Predictors of weaning failure in ventilated intensive care patients: A systematic evidence map. Crit. Care. 2024, 28, 366. [Google Scholar] [CrossRef]
- Kamal, M.; Sengupta, S. Diaphragmatic ultrasound: A new frontier in weaning from mechanical ventilation. Indian J. Anaesth. 2023, S205–S207. [Google Scholar] [CrossRef]
- Akella, P.; Voigt, L.P.; Chawla, S. To wean or not to wean: A practical patient-focused guide to ventilator weaning. J. Intensive Care Med. 2022, 37, 1417–1425. [Google Scholar] [CrossRef]
- Depta, F.; Gentile, M.A.; Kallet, R.H.; Donic, V.; Zdravkovic, M. Evaluation of time constant, dead space and compliance to determine PEEP in COVID-19 ARDS: A prospective observational study. Signa Vitae. 2024, 20, 110–114. [Google Scholar]
- Sarnaik, A.P.; Venkataraman, S.T.; Kuch, B.A. Mechanical Ventilation in Neonates and Children: A Pathophysiology-Based Management Approach; Springer Nature: Cham, Switzerland, 2022. [Google Scholar]
- Farrow, C.E.; Thomas, A.M.; West, D.A.; Gomez, R.; Smith, J.A.; Carroll, R.G.; et al. Increased intrapulmonary shunt and alveolar dead space post-COVID-19. J. Appl. Physiol. 2023, 135, 1012–1022. [Google Scholar] [CrossRef]
- Ward, S.A. Ventilation/carbon dioxide output relationships during exercise in health. Eur. Respir. Rev. 2021, 30, 160. [Google Scholar] [CrossRef]
- Yang, K.L.; Tobin, M.J. A prospective study of indexes predicting the outcome of trials of weaning from mechanical ventilation. N. Engl. J. Med. 1991, 324, 1445–1450. [Google Scholar] [CrossRef]
- Park, J.E.; Lee, S.Y.; Kim, H.S.; Choi, Y.H.; Kwon, H.Y.; Cho, J.H.; et al. Biosignal-based digital biomarkers for prediction of ventilator weaning success. Int. J. Environ. Res. Public Health. 2021, 18, 9229. [Google Scholar] [CrossRef] [PubMed]
- Chuang, M.-L.; Lin, I.-F.; Cheng, Y.-M.; Huang, S.-F.; Wang, Y.-C.; Wang, C.-H. Use of Ventilatory Equivalent for CO₂ and Physiologic Dead Space Ratio to Assess Impaired Ventilatory Efficiency and Dynamic Hyperinflation in Chronic Obstructive Pulmonary Disease. J. Clin. Med. 2020, 9, 1127. [Google Scholar] [CrossRef]

|
Type 1 RF (n:23) |
Type 2 RF (n:12) |
p-value | ||
| Age (mean ± SD) | 72.57 ± 18.2 | 71.75 ± 8.7 | 0.88* | |
| Gender | Male (%) | 16 (69.6) | 10 (83.3) | 0.37** |
| Female (%) | 7 (30.4) | 2 (16.7) | ||
| Heart Rate (bpm/min) | 97.52 ± 14.19 | 88.25 ± 14.34 | 0.07* | |
| SBP (mmHg) | 122.96 ± 14.59 | 130.17 ± 21.95 | 0.25* | |
| RR (breath/min) | 17.39 ± 2.85 | 17.00 ± 2.89 | 0.70* | |
| Hemoglobin(gr/dL) | 11.93 ± 3.21 | 12.90 ± 2.97 | 0.39* | |
| BUN (mg/dL) | 28.00 (21.5-37.5) | 37.00 (20.3-43.8) | 0.70*** | |
| Creatinine (mg/dL) | 1.16 (0.81-1.47) | 0.97 (0.85-1.13) | 0.56*** | |
|
Type 1 RF (n:23) |
Type 2 RF (n:12) |
p-value | |
| PEEP (cmH₂O) | 5.0 (5.0-5.5) | 5.00 (5.00-5.50) | 0.82** |
| Pmax(cmH₂O) | 24.0(23.0-25.5) | 26.50 (24.50-29.30) | 0.16** |
| Pplato(cmH₂O) | 18.9 (17.0-20.5) | 21.50 (17.00-23.00) | 0.14** |
| FiO2 (%) | 30.0(25.5-35.0) | 37.50 (25.50-40.00) | 0.03 ** |
| VT (mL) | 423(400-450) | 421 (425-450) | 0.76** |
| Cdyn (mL/cmH₂O) | 22.0 ± 3.85 | 20.8 ± 3.87 | 0.39* |
| Cstat (mL/cmH₂O) | 32.5 ± 5.93 | 30.0 ± 8.17 | 0.31* |
| Ph | 7.36 ± 0.04 | 7.38 ± 0.05 | 0.37* |
| PaO2 (mm/Hg) | 70.1 ± 13.6 | 61.1 ± 14.2 | 0.07* |
| PaCO2 (mm/Hg) | 40.3 ± 4.49 | 49.1 ± 9.65 | <0.001 * |
| VE (L/min) | 7.03 ± 1.02 | 7.21 ± 1.19 | 0.65* |
| EtCO2 (mm/Hg) | 28.5±6.51 | 30.6±6.57 | 0.38* |
| Weaning Indexes |
Type 1 RF (n:23) |
Type 2 RF (n:12) |
p-value |
| RSBI (bpm/L) | 40.0 (35.0-40.0) | 40.0 (35.0-40.0) | 1.00** |
| VD/VT | 0.29 ± 0.13 | 0.37 ± 0.04 | 0.046 * |
| PaO2/FiO2 (mmHg) | 244 ± 95.6 | 169 ± 49.6 | 0.017 * |
| IWI (bpm/mL) | 79.3 ± 32.5 | 70.8 ± 30.7 | 0.45* |
| PaO2/PAO2 | 0.45 (0.36-0.69) | 0.33 (0.29-0.39) | 0.053* |
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