Can Creatinine Height Index Predict Weaning and Survival Outcomes in Patients on Prolonged Mechanical Ventilation After Critical Illness?

被引:16
|
作者
Datta, Debapriya [1 ]
Foley, Raymond [1 ]
Wu, Rong [2 ]
Grady, James [2 ]
Scalise, Paul [3 ]
机构
[1] Univ Connecticut, Hlth Ctr, Div Pulm & Crit Care Med, 263 Farmington Ave, Farmington, CT 06030 USA
[2] Univ Connecticut, Hlth Ctr, Biostat Ctr, Farmington, CT USA
[3] Hosp Special Care, Div Pulm & Crit Care Med, New Britain, CT USA
关键词
respiratory failure; prolonged mechanical ventilation; weaning; survival; nutrition; creatinine height index; PROTEIN-CALORIE UNDERNUTRITION; NUTRITIONAL SUPPORT; CARE-UNIT; ICU; MANAGEMENT; OBESITY; DISEASE;
D O I
10.1177/0885066616648133
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objective: Malnutrition is common in chronic critically ill patients on prolonged mechanical ventilation (PMV) and may affect weaning. The creatinine height index (CHI), which reflects lean muscle mass, is regarded as the most accurate indicator of malnutrition. The objective of this study was to determine the impact of CHI in comparison with other traditional nutritional indices on successful weaning and survival in patients on PMV after critical illness. Methods: Records of 167 patients on PMV following critical illness, admitted for weaning, were reviewed. Parameters studied included age, gender, body mass index (BMI), percentage ideal body weight (%IBW), total protein, albumin, prealbumin, hemoglobin (Hb), and cause of respiratory failure. Number successfully weaned and number discharged alive and time to wean and time to discharge alive were determined from records. The CHI was calculated from 24-hour urine creatinine using a standard formula. Unpaired 2-sample t test was performed to determine the association between the studied nutritional parameters and outcomes. Predictive value of studied parameters for successful weaning and survival was determined by multivariate logistic regression analysis to model dichotomous outcome of successful weaning and survival. Results: Mean age was 68 14 years, 49% were males, 64% were successfully weaned, and 65.8% survived. Total protein, Hb, and CHI had a significant impact on successful weaning. Weight, %IBW, BMI, and CHI had a significant effect on survival. Of all parameters, CHI was most strongly predictive of successful weaning and survival. Conclusions: The CHI is a strong predictor of successful weaning and survival in patients on PMV.
引用
收藏
页码:104 / 110
页数:7
相关论文
共 50 条
  • [41] Clinical study on the predictive utility of high flow CPAP in weaning from prolonged mechanical ventilation in critical paediatric surgery patients
    Ballesteros, S. Cabezudo
    Carretero, P. Sanabria
    Parga, L. Castro
    Vega, A. Martin
    Garcia, L. Lopez
    Barbero, F. Reinoso
    REVISTA ESPANOLA DE ANESTESIOLOGIA Y REANIMACION, 2025, 72 (02):
  • [42] PHYSICAL FUNCTION AFTER PULMONARY REHABILITATION AS A PREDICTOR OF WEANING SUCCESS AND SHORT-TERM AND MID-TERM SURVIVAL IN PATIENTS REQUIRING PROLONGED MECHANICAL VENTILATION
    Keng, Li-Ta
    Liang, Sheng-Kai
    Lee, Meng-Rui
    Wen, Yueh-Feng
    Tsou, Ping-Hsien
    Chang, Chia-Hao
    Chang, Lih-Yu
    Yu, Kai-Lun
    Ko, Jen-Chung
    RESPIROLOGY, 2018, 23 : 145 - 145
  • [43] Coinciding Changes In B Lines Patterns, Hemoglobin And Hematocrit Values Can Predict Outcomes Of Weaning From Mechanical Ventilation in patients with acute cardiogenic pulmonary edema
    ElHadidy, Samir
    Saad, Mohamed
    El Hossany, Rania
    El Gohary, Tarek
    El Ghobashy, Mohamed
    EUROPEAN HEART JOURNAL SUPPLEMENTS, 2020, 22 (0K) : K8 - K8
  • [44] Prolonged mechanical ventilation in critically ill patients: epidemiology, outcomes and modelling the potential cost consequences of establishing a regional weaning unit
    Lone, Nazir I.
    Walsh, Timothy S.
    CRITICAL CARE, 2011, 15 (02):
  • [45] Prolonged mechanical ventilation in critically ill patients: epidemiology, outcomes and modelling the potential cost consequences of establishing a regional weaning unit
    Nazir I Lone
    Timothy S Walsh
    Critical Care, 15
  • [46] Explainable Machine Learning to Predict Successful Weaning Among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan
    Lin, Ming-Yen
    Li, Chi-Chun
    Lin, Pin-Hsiu
    Wang, Jiun-Long
    Chan, Ming-Cheng
    Wu, Chieh-Liang
    Chao, Wen-Cheng
    FRONTIERS IN MEDICINE, 2021, 8
  • [47] How should patients feel about prolonged mechanical ventilation? Can we predict their choices, and if so, should we?
    Cohen, NH
    CRITICAL CARE MEDICINE, 2002, 30 (07) : 1656 - 1658
  • [48] ACKT: A Proposal for a Novel Score to Predict Prolonged Mechanical Ventilation after Surgical Treatment of Meningioma in Geriatric Patients
    Scharnbock, Elisa
    Weinhold, Leonie
    Potthoff, Anna-Laura
    Schafer, Niklas
    Heimann, Muriel
    Lehmann, Felix
    Guresir, Erdem
    Bode, Christian
    Jacobs, Andreas H.
    Vatter, Hartmut
    Herrlinger, Ulrich
    Schneider, Matthias
    Schuss, Patrick
    CANCERS, 2021, 13 (01) : 1 - 10
  • [49] Factors Affecting In-Hospital Mortality And Survival After Discharge In Cancer Patients Receiving Prolonged Mechanical Ventilation
    Bellamkonda, T. T.
    Feinstein, M.
    Stover, D.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2013, 187
  • [50] An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study
    Jiang, Weigang
    Liu, Tao
    Sun, Baisheng
    Zhong, Lixia
    Han, Zhencan
    Lu, Minhua
    Lei, Mingxing
    BMC MUSCULOSKELETAL DISORDERS, 2024, 25 (01)