Prognostic factors of mortality in patients treated with invasive ventilation in intensive care
Keywords:
risk factors, mortality, mechanic ventilation.Abstract
Introduction: Invasive ventilation is frequently used during the course of serious pathologies, but not all patients benefit from this therapeutic modality.Objective: Identify risk factors for mortality in patients treated with invasive ventilation.
Methods: An observational, analytical case-control study was carried out in patients treated with invasive ventilation; the cases were deceased patients. 25 cases (deceased) and 50 controls (not deceased) were randomly selected. The summary measures were applied for each type of variables, the association between the variables and mortality was determined by applying the odds ratio with a 95 % confidence interval.
Results: In the nutritional evaluation, 44.0 % were of normal weight and 21.3 % presented complications. The risk factors for mortality were: Disease severity = 3 points (OR: 4.935, 95 % CI: 1.700 - 14.329) and organ dysfunction = 8 points (OR: 3.188, 95 % CI: 1.177 - 8.636).
Conclusions: Disease severity = 3 points and organ dysfunction = 8 points are the risk factors for mortality identified in patients treated with invasive ventilation.
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References
1. Özlü T, Pehlivanlar Küçük M, Kaya A, Yarar E, Kirakli C, Sengören Dikis Ö, et al. Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES). Turk J Med Sci. 2019 [acceso: 20/10/2023]; 49(6): 1662 - 73. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518657/
2. Ervin JN, Rentes VC, Dibble ER, Sjoding MW, Iwashyna TJ, Hough CL, et al. Evidence-Based Practices for Acute Respiratory Failure and Acute Respiratory Distress Syndrome. Chest. 2020 [acceso: 20/10/2023]; 158(6): 2381 - 93. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768938/
3. Dibiasi C, Kimberger O, Bologheanu R, Staudinger T, Heinz G, Zauner C, et al. External validation of the ProVent score for prognostication of 1-year mortality of critically ill patients with prolonged mechanical ventilation: a single-centre, retrospective observational study in Austria. BMJ Open. 2022 [acceso: 20/10/2023]; 12(9): e066197. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490575/
4. Hsu CH, Hung Y, Chu KA, Chen CF, Yin CH, Lee CC. Prognostic nomogram for elderly patients with acute respiratory failure receiving invasive mechanical ventilation: a nationwide population-based cohort study in Taiwan. Sci Rep. 2020 [acceso: 21/10/2023]; 10(1): 13161. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403322/
5. Martínez Llópiz YI, García Cañete IM. Morbilidad y mortalidad en pacientes con ventilación mecánica invasiva en la Unidad de Cuidados Intensivos del Hospital "Celia Sánchez Manduley". Medisan. 2017 [acceso: 21/10/2023]; 21(6): 664 - 71. Disponible en: http://scielo.sld.cu/pdf/san/v21n6/san04216.pdf
6. Hernández Pedroso W, González Mesana R, Rittoles Navarro A, Cruz L del R, Chibás Ponce EF, Santana Sánchez R. Caracterización de pacientes geriátricos con ventilación mecánica invasiva en cuidados intensivos. Rev Cuba Med Mil. 2021 [acceso: 21/10/2023]; 50(2): e02101075. Disponible en: http://scielo.sld.cu/pdf/mil/v50n2/1561-3046-mil-50-02-e1075.pdf
7. Fong Pantoja L, Bazan MES, Sánchez LD, Matamoros EBD, de la Fé Fonseca EA. Aspectos clínicos y epidemiológicos de pacientes tratados con ventilación invasiva en cuidados intensivos. MEDISAN. 2023 [acceso: 22/10/2023]; 27(3): 4571. Disponible en: https://medisan.sld.cu/index.php/san/article/view/4571/pdf
8. Sakr Y, Midega T, Antoniazzi J, Solé-Violán J, Bauer PR, Ostermann M, et al. Do ventilatory parameters influence outcome in patients with severe acute respiratory infection? Secondary analysis of an international, multicenter 14-day inception cohort study. J Crit Care. 2021 [acceso: 22/10/2023]; 66: 78 - 85. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394083/
9. Oliveira JC, Vasconcelos GMT, Bispo LDG, Magro MC da S, Fonseca CD da, Pinheiro FG de MS, et al. Predictores de mortalidad y tiempo promedio de supervivencia de los pacientes críticos. Acta Paul Enferm. 2023 [acceso: 22/10/2023]; 36: eAPE01192. Disponible en: https://www.scielo.br/j/ape/a/RxT4DXmPgBffnZP7vwFGSyH/?format=pdf&lang=en
10. Bayerre Vea HD, Olivia Pérez M, Horsford Saing R, Ranero Aparicio V, Coutin Marie G, Díaz Llanes G. Metodología de la Investigación en APS. Cuba, La Habana: Editorial Ciencias Médicas; 2004.
11. Guan G, Lee CMY, Begg S, Crombie A, Mnatzaganian G. The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis. PLoS ONE. 2022 [acceso: 23/10/2023]; 17(3): e0265559. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929648/
12. Nielsen FE, Chafranska L, Sørensen RH, Abdullah OB. Predictors of outcomes in emergency department patients with suspected infections and without fulfillment of the sepsis criteria. Am J Emerg Med. 2023 [acceso: 23/10/2023]; 68: 144 - 54. Disponible en: https://www.sciencedirect.com/science/article/pii/S0735675723001365
13. Pisani L, Algera AG, Serpa Neto A, Ahsan A, Beane A, Chittawatanarat K, et al. Epidemiological Characteristics, Ventilator Management, and Clinical Outcome in Patients Receiving Invasive Ventilation in Intensive Care Units from 10 Asian Middle-Income Countries (PRoVENT-iMiC): An International, Multicenter, Prospective Study. Am J Trop Med Hyg. 2021; 104(3): 1022 - 33. DOI: 10.4269/ajtmh.20-1177
14. Ye W, Li R, Liang H, Huang Y, Xu Y, Li Y, et al. Development and validation of a clinical risk model to predict the hospital mortality in ventilated patients with acute respiratory distress syndrome: a population-based study. BMC Pulm Med. 2022 [acceso: 23/10/2023]; 22(1): 268. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277886/
15. Montaño Jiménez A, Olvera Guzmán CI, Aguirre Sánchez JS, Camarena Alejo G, Franco Granillo J. Pronóstico de la ventilación mecánica invasiva en el paciente obeso críticamente enfermo. Med Crítica Col Mex Med Crítica. 2018 [acceso: 23/10/2023]; 32(5): 277 - 84. Disponible en: https://www.scielo.org.mx/pdf/mccmmc/v32n5/2448-8909-mccmmc-32-05-277.pdf
16. Clar J, Oltra MR, Benavent R, Pinto C, Ruiz A, Sanchez MT, et al. Prognostic value of diagnostic scales in community-acquired sepsis mortality at an emergency service. Prognosis in community-adquired sepsis. BMC Emerg Med. 2021; 21(1): 161. DOI: 10.1186/s12873-021-00532-1
17. Fuchs PA, Czech IJ, Krzych LJ. Mortality Prediction Using SOFA Score in Critically Ill Surgical and Non-Surgical Patients: Which Parameter Is the Most Valuable? Medicina (Mex). 2020 [acceso: 25/10/2023]; 56(6): 273. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353889/
18. RCP London. National Early Warning Score (NEWS) 2. London: RCP London; 2017. [acceso: 25/10/2023]. Disponible en: https://www.rcplondon.ac.uk/projects/outputs/national-early-warning-score-news-2
19. Holland M, Kellett J. A systematic review of the discrimination and absolute mortality predicted by the National Early Warning Scores according to different cut-off values and prediction windows. Eur J Intern Med. 2022 [acceso: 25/10/2023]; 98: 15 - 26. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S0953620521004350
20. Burgos Esteban A, Gea Caballero V, Marín Maicas P, Santillán García A, Cordón Hurtado M de V, Marqués Sule E, et al. Effectiveness of Early Warning Scores for Early Severity Assessment in Outpatient Emergency Care: A Systematic Review. Front Public Health. 2022 [acceso: 25/10/2023]; 10: 894906. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330632/
2. Ervin JN, Rentes VC, Dibble ER, Sjoding MW, Iwashyna TJ, Hough CL, et al. Evidence-Based Practices for Acute Respiratory Failure and Acute Respiratory Distress Syndrome. Chest. 2020 [acceso: 20/10/2023]; 158(6): 2381 - 93. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7768938/
3. Dibiasi C, Kimberger O, Bologheanu R, Staudinger T, Heinz G, Zauner C, et al. External validation of the ProVent score for prognostication of 1-year mortality of critically ill patients with prolonged mechanical ventilation: a single-centre, retrospective observational study in Austria. BMJ Open. 2022 [acceso: 20/10/2023]; 12(9): e066197. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490575/
4. Hsu CH, Hung Y, Chu KA, Chen CF, Yin CH, Lee CC. Prognostic nomogram for elderly patients with acute respiratory failure receiving invasive mechanical ventilation: a nationwide population-based cohort study in Taiwan. Sci Rep. 2020 [acceso: 21/10/2023]; 10(1): 13161. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403322/
5. Martínez Llópiz YI, García Cañete IM. Morbilidad y mortalidad en pacientes con ventilación mecánica invasiva en la Unidad de Cuidados Intensivos del Hospital "Celia Sánchez Manduley". Medisan. 2017 [acceso: 21/10/2023]; 21(6): 664 - 71. Disponible en: http://scielo.sld.cu/pdf/san/v21n6/san04216.pdf
6. Hernández Pedroso W, González Mesana R, Rittoles Navarro A, Cruz L del R, Chibás Ponce EF, Santana Sánchez R. Caracterización de pacientes geriátricos con ventilación mecánica invasiva en cuidados intensivos. Rev Cuba Med Mil. 2021 [acceso: 21/10/2023]; 50(2): e02101075. Disponible en: http://scielo.sld.cu/pdf/mil/v50n2/1561-3046-mil-50-02-e1075.pdf
7. Fong Pantoja L, Bazan MES, Sánchez LD, Matamoros EBD, de la Fé Fonseca EA. Aspectos clínicos y epidemiológicos de pacientes tratados con ventilación invasiva en cuidados intensivos. MEDISAN. 2023 [acceso: 22/10/2023]; 27(3): 4571. Disponible en: https://medisan.sld.cu/index.php/san/article/view/4571/pdf
8. Sakr Y, Midega T, Antoniazzi J, Solé-Violán J, Bauer PR, Ostermann M, et al. Do ventilatory parameters influence outcome in patients with severe acute respiratory infection? Secondary analysis of an international, multicenter 14-day inception cohort study. J Crit Care. 2021 [acceso: 22/10/2023]; 66: 78 - 85. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394083/
9. Oliveira JC, Vasconcelos GMT, Bispo LDG, Magro MC da S, Fonseca CD da, Pinheiro FG de MS, et al. Predictores de mortalidad y tiempo promedio de supervivencia de los pacientes críticos. Acta Paul Enferm. 2023 [acceso: 22/10/2023]; 36: eAPE01192. Disponible en: https://www.scielo.br/j/ape/a/RxT4DXmPgBffnZP7vwFGSyH/?format=pdf&lang=en
10. Bayerre Vea HD, Olivia Pérez M, Horsford Saing R, Ranero Aparicio V, Coutin Marie G, Díaz Llanes G. Metodología de la Investigación en APS. Cuba, La Habana: Editorial Ciencias Médicas; 2004.
11. Guan G, Lee CMY, Begg S, Crombie A, Mnatzaganian G. The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis. PLoS ONE. 2022 [acceso: 23/10/2023]; 17(3): e0265559. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929648/
12. Nielsen FE, Chafranska L, Sørensen RH, Abdullah OB. Predictors of outcomes in emergency department patients with suspected infections and without fulfillment of the sepsis criteria. Am J Emerg Med. 2023 [acceso: 23/10/2023]; 68: 144 - 54. Disponible en: https://www.sciencedirect.com/science/article/pii/S0735675723001365
13. Pisani L, Algera AG, Serpa Neto A, Ahsan A, Beane A, Chittawatanarat K, et al. Epidemiological Characteristics, Ventilator Management, and Clinical Outcome in Patients Receiving Invasive Ventilation in Intensive Care Units from 10 Asian Middle-Income Countries (PRoVENT-iMiC): An International, Multicenter, Prospective Study. Am J Trop Med Hyg. 2021; 104(3): 1022 - 33. DOI: 10.4269/ajtmh.20-1177
14. Ye W, Li R, Liang H, Huang Y, Xu Y, Li Y, et al. Development and validation of a clinical risk model to predict the hospital mortality in ventilated patients with acute respiratory distress syndrome: a population-based study. BMC Pulm Med. 2022 [acceso: 23/10/2023]; 22(1): 268. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277886/
15. Montaño Jiménez A, Olvera Guzmán CI, Aguirre Sánchez JS, Camarena Alejo G, Franco Granillo J. Pronóstico de la ventilación mecánica invasiva en el paciente obeso críticamente enfermo. Med Crítica Col Mex Med Crítica. 2018 [acceso: 23/10/2023]; 32(5): 277 - 84. Disponible en: https://www.scielo.org.mx/pdf/mccmmc/v32n5/2448-8909-mccmmc-32-05-277.pdf
16. Clar J, Oltra MR, Benavent R, Pinto C, Ruiz A, Sanchez MT, et al. Prognostic value of diagnostic scales in community-acquired sepsis mortality at an emergency service. Prognosis in community-adquired sepsis. BMC Emerg Med. 2021; 21(1): 161. DOI: 10.1186/s12873-021-00532-1
17. Fuchs PA, Czech IJ, Krzych LJ. Mortality Prediction Using SOFA Score in Critically Ill Surgical and Non-Surgical Patients: Which Parameter Is the Most Valuable? Medicina (Mex). 2020 [acceso: 25/10/2023]; 56(6): 273. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353889/
18. RCP London. National Early Warning Score (NEWS) 2. London: RCP London; 2017. [acceso: 25/10/2023]. Disponible en: https://www.rcplondon.ac.uk/projects/outputs/national-early-warning-score-news-2
19. Holland M, Kellett J. A systematic review of the discrimination and absolute mortality predicted by the National Early Warning Scores according to different cut-off values and prediction windows. Eur J Intern Med. 2022 [acceso: 25/10/2023]; 98: 15 - 26. Disponible en: https://linkinghub.elsevier.com/retrieve/pii/S0953620521004350
20. Burgos Esteban A, Gea Caballero V, Marín Maicas P, Santillán García A, Cordón Hurtado M de V, Marqués Sule E, et al. Effectiveness of Early Warning Scores for Early Severity Assessment in Outpatient Emergency Care: A Systematic Review. Front Public Health. 2022 [acceso: 25/10/2023]; 10: 894906. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330632/
Published
2024-05-16
How to Cite
1.
Fong Pantoja L, Guzmán Pérez N, Sánchez Licea FA, Dieguez Matamoros EB, Garcés Suarez M. Prognostic factors of mortality in patients treated with invasive ventilation in intensive care. Rev Cubana Med Milit [Internet]. 2024 May 16 [cited 2025 Apr. 4];53(2):e024026162. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/26162
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