The power of mechanical ventilation may predict mortality in critically ill patients

被引:4
|
作者
Senturk, Evren [1 ]
Ugur, Semra [1 ]
Celik, Yeliz [2 ]
Cukurova, Zafer [3 ]
Asar, Sinan [3 ]
Cakar, Nahit [1 ]
机构
[1] Koc Univ Hosp, Dept Anesthesiol & Reanimat, TR-34010 Istanbul, Turkiye
[2] Koc Univ Hosp, Dept Pulmonol, Istanbul, Turkiye
[3] Bakirkoy Sadi Konuk Res Hosp, Dept Anesthesiol & Reanimat, Istanbul, Turkiye
关键词
Respiration; artificial; Mortality; Intensive care units; RESPIRATORY RATE; LUNG INJURY;
D O I
10.23736/S0375-9393.23.17080-5
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
BACKGROUND: Mechanical power (MP) is the amount of energy transferred from the ventilator to the patient within a unit of time. It has been emphasized in ventilation-induced lung injury (VILI) and mortality. However, its measure-ment and use in clinical practice are challenging. "Electronic recording systems (ERS)" using mechanical ventilation parameters provided by the ventilator can be helpful to measure and record the MP. The MP (J/minutes) formula is 0.098 x tidal volume x respiratory rate x (Ppeak - '/z increment P), in which increment P is the driving pressure and Ppeak is the peak pressure. We aimed to define the association between MP values and ICU mortality, mechanical ventilation days, and intensive care unit length of stay (ICU-LOS). The secondary outcome was to determine the most potent or essential component of power in the equation that has a role in mortality. METHODS: This retrospective study was performed in two centers (VKV American Hospital and Bakirkoy Sadi Konuk Hospital ICUs) that used ERS (Metavision IMDsoft) between 2014 and 2018. We uploaded the power formula (MP (J/ minutes)=0.098xVTxRRx(Ppeak - '/z increment P) to ERS (METAvision, iMDsoft, and Consult Orion Health) and calculated the MP value by using MV parameters automatically sent from the ventilator. ( increment P; driving pressure, VT; tidal volume, RR; respiratory rate and Ppeak; peak pressure).RESULTS: A total of 3042 patients were included in the study. The median value of MP was 11.3 J/min. Mortality in MP<11.3 J/min was 35.4%, and 49.1% in MP>11.3J/min.; P<0.001. Mechanical ventilation days and ICU-LOS were also statistically longer in the MVP>11.3 J/min group.CONCLUSIONS: The first 24 h MP maybe a predictive value for the ICU patients' prognosis. This implies that MP may be used as a decision-making system to define the clinical approach and as a scoring system to predict patient prognosis.
引用
收藏
页码:663 / 670
页数:8
相关论文
共 50 条
  • [41] Can Lactate Clearance Predict Mortality in Critically Ill Children?
    Moustafa, Azza A.
    Elhadidi, Abeer S.
    El-Nagar, Mona A.
    Hassouna, Hadir M.
    JOURNAL OF PEDIATRIC INTENSIVE CARE, 2023, 12 (02) : 112 - 117
  • [42] Predicting Mortality of Critically Ill Patients by Blood Glucose Levels
    Park, Byung Sam
    Yoon, Ji Sung
    Moon, Jun Sung
    Won, Kyu Chang
    Lee, Hyoung Woo
    DIABETES & METABOLISM JOURNAL, 2013, 37 (05) : 385 - 390
  • [43] Effect of Sedatives on In-hospital and Long-term Mortality of Critically Ill Patients Requiring Extended Mechanical Ventilation for ≥ 48 Hours
    Lee, Hannah
    Choi, Seongmi
    Jang, Eun Jin
    Lee, Juhee
    Kim, Dalho
    Yoo, Seokha
    Oh, Seung-Young
    Ryu, Ho Geol
    JOURNAL OF KOREAN MEDICAL SCIENCE, 2021, 36 (34) : 1 - 11
  • [44] Predictors of mortality and median survival time of critically ill patients
    Oliveira, Jussiely Cunha
    Vasconcelos, Geferson Messias Teles
    Bispo, Laura Dayane Gois
    Magro, Marcia Cristina da Silva
    Fonseca, Cassiane Dezoti da
    Pinheiro, Fernanda Gomes de Magalhaes Soares
    Santana-Santos, Eduesley
    ACTA PAULISTA DE ENFERMAGEM, 2023, 36
  • [45] Mechanical ventilation in cancer patients
    Saillard, C.
    Mokart, D.
    Lemiale, V.
    Azoulay, E.
    MINERVA ANESTESIOLOGICA, 2014, 80 (06) : 712 - 725
  • [46] Automated versus non-automated weaning for reducing the duration of mechanical ventilation for critically ill adults and children
    Rose, Louise
    Schultz, Marcus J.
    Cardwell, Chris R.
    Jouvet, Philippe
    McAuley, Danny F.
    Blackwood, Bronagh
    COCHRANE DATABASE OF SYSTEMATIC REVIEWS, 2014, (06):
  • [47] Novel Mortality Markers for Critically Ill Patients
    Yoldas, Hamit
    Karagoz, Ibrahim
    Ogun, Muhammed Nur
    Velioglu, Yusuf
    Yildiz, Isa
    Bilgi, Murat
    Demirhan, Abdullah
    JOURNAL OF INTENSIVE CARE MEDICINE, 2020, 35 (04) : 383 - 385
  • [48] Recommendations for mechanical ventilation of critically ill children from the Paediatric Mechanical Ventilation Consensus Conference (PEMVECC)
    Kneyber, Martin C. J.
    de Luca, Daniele
    Calderini, Edoardo
    Jarreau, Pierre-Henri
    Javouhey, Etienne
    Lopez-Herce, Jesus
    Hammer, Jurg
    Macrae, Duncan
    Markhorst, Dick G.
    Medina, Alberto
    Pons-Odena, Marti
    Racca, Fabrizio
    Wolf, Gerhard
    Biban, Paolo
    Brierley, Joe
    Rimensberger, Peter C.
    INTENSIVE CARE MEDICINE, 2017, 43 (12) : 1764 - 1780
  • [49] Discordance Between Respiratory Drive and Sedation Depth in Critically Ill Patients Receiving Mechanical Ventilation*
    Dzierba, Amy L.
    Khalil, Anas M.
    Derry, Katrina L.
    Madahar, Purnema
    Beitler, Jeremy R.
    CRITICAL CARE MEDICINE, 2021, 49 (12) : 2090 - 2101
  • [50] Critically ill obstetric patients requiring mechanical ventilation in rural western India: A retrospective analysis
    Vaishnav, Smruti B.
    Vaishnav, Bhalendu
    Desai, Kailas N.
    Raithatha, Nitin S.
    Bose, Neeta S.
    NATIONAL MEDICAL JOURNAL OF INDIA, 2016, 29 (02): : 68 - 72