Plasma proenkephalin A 119-159 on intensive care unit admission is a predictor of organ failure and 30-day mortality

被引:6
|
作者
Frigyesi, Attila [1 ,2 ]
Bostrom, Lisa [1 ,2 ]
Lengquist, Maria [1 ,2 ]
Johnsson, Patrik [1 ,3 ]
Lundberg, Oscar H. M. [1 ,3 ]
Spangfors, Martin [1 ,4 ]
Annborn, Martin [1 ,5 ]
Cronberg, Tobias [1 ,6 ]
Nielsen, Niklas [1 ,5 ]
Levin, Helena [1 ,7 ]
Friberg, Hans [1 ,3 ]
机构
[1] Lund Univ, Dept Clin Sci Anaesthesiol & Intens Care, S-22185 Lund, Sweden
[2] Skane Univ Hosp, Intens & Perioperat Care, S-22185 Lund, Sweden
[3] Skane Univ Hosp, Intens & Perioperat Care, S-21428 Malmo, Sweden
[4] Kristianstad Cent Hosp, Anaesthesia & Intens Care, S-29185 Kristianstad, Sweden
[5] Helsingborg Hosp, Anaesthesia & Intens Care, S-25187 Helsingborg, Sweden
[6] Skane Univ Hosp, Dept Neurol, S-22185 Lund, Sweden
[7] Skane Univ Hosp, Res & Educ, S-22185 Lund, Sweden
关键词
Proenkephalin; Biomarker; Intensive care; Mortality; Organ dysfunction; ACUTE KIDNEY INJURY; NEUROPEPTIDE PROENKEPHALIN; HOSPITAL MORTALITY; RESUSCITATION; PATIENT; SEPSIS; SAPS-3;
D O I
10.1186/s40635-021-00396-6
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background Proenkephalin A 119-159 (penKid) has been suggested as a marker of renal failure and poor outcome. We aimed to investigate the association of penKid on ICU admission with organ dysfunction and mortality in a mixed ICU population. In this retrospective, observational study, admission penKid levels from prospectively collected blood samples of consecutive patients admitted to four Swedish ICUs were analysed. The association of penKid with day-two sequential organ failure assessment (SOFA) scores and 30-day mortality was investigated using (ordinal) logistic regression. The predictive power of penKid for 30-day mortality and dialysis was assessed using the area under the receiver operating characteristic curve (AUC). Results Of 1978 included patients, 632 fulfilled the sepsis 3-criteria, 190 had a cardiac arrest, and 157 had experienced trauma. Admission penKid was positively associated with 30-day mortality with an odds ratio of 1.95 (95% confidence interval 1.75-2.18, p < 0.001), and predicted 30-day mortality in the entire ICU population with an AUC of 0.71 (95% confidence interval 0.68-0.73) as well as in the sepsis, cardiac arrest and trauma subgroups (AUCs of 0.61-0.84). Correction for admission plasma creatinine revealed that penKid correlated with neurological dysfunction. Conclusion Plasma penKid on ICU admission is associated with day-two organ dysfunction and predictive of 30-day mortality in a mixed ICU-population, as well as in sepsis, cardiac arrest and trauma subgroups. In addition to being a marker of renal dysfunction, plasma penKid is associated with neurologic dysfunction in the entire ICU population, and cardiovascular dysfunction in sepsis.
引用
下载
收藏
页数:12
相关论文
共 50 条
  • [41] Prediction of mortality using plasma lipoprotein pattern at the admission to the intensive care unit
    Amaya-Villar, R
    García-Garmendia, J
    Garnacho-Montero, J
    Aidabó-Pallás, T
    Fernández-Hinojosa, E
    Jiménez-Jiménez, F
    Ortiz-Leyba, C
    INTENSIVE CARE MEDICINE, 2002, 28 : S116 - S116
  • [42] The delta neutrophil index predicts development of multiple organ dysfunction syndrome and 30-day mortality in trauma patients admitted to an intensive care unit: a retrospective analysis
    Kong, Taeyoung
    Park, Yoo Seok
    Lee, Hye Sun
    Kim, Sinae
    Lee, Jong Wook
    You, Je Sung
    Chung, Hyun Soo
    Park, Incheol
    Chung, Sung Phil
    SCIENTIFIC REPORTS, 2018, 8
  • [43] Additional prognostic impact of sequential organ failure assessment on 30-day mortality in acute heart failure
    Yagyu, T.
    Nakagawa, T.
    EUROPEAN HEART JOURNAL, 2015, 36 : 1174 - 1175
  • [44] The delta neutrophil index predicts development of multiple organ dysfunction syndrome and 30-day mortality in trauma patients admitted to an intensive care unit: a retrospective analysis
    Taeyoung Kong
    Yoo Seok Park
    Hye Sun Lee
    Sinae Kim
    Jong Wook Lee
    Je Sung You
    Hyun Soo Chung
    Incheol Park
    Sung Phil Chung
    Scientific Reports, 8
  • [45] A prediction model for 30-day deaths of cirrhotic patients in intensive care unit hospitalization
    Hu, Yuyuan
    Chen, Dongling
    Li, Qian
    Yin, Guichun
    Zhang, Xianjun
    Wang, Yachun
    MEDICINE, 2022, 101 (05) : E28752
  • [46] Neutrophil-to-Lymphocyte Ratio in COVID-19 as a Predictor for Hospital Admission, Need for ICU Admission and 30-Day Mortality
    Rivera, J.
    Girard, C.
    Kim, A. I.
    Shettigar, S.
    Lavina, A.
    Gillenwater, S.
    Hadeh, A.
    Kotok, D.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2021, 203 (09)
  • [47] Intensive care after elective surgery: a survey on 30-day postoperative mortality and morbidity
    Cavaliere, F.
    Conti, G.
    Costa, R.
    Masieri, S.
    Antonelli, M.
    Proietti, R.
    MINERVA ANESTESIOLOGICA, 2008, 74 (09) : 459 - 468
  • [48] Frailty predicts 30-day mortality in intensive care patients A prospective prediction study
    De Geer, Lina
    Fredrikson, Mats
    Tibblin, Anna O.
    EUROPEAN JOURNAL OF ANAESTHESIOLOGY, 2020, 37 (11) : 1058 - 1065
  • [49] Clostridium difficile Recurrence Is a Strong Predictor of 30-Day Rehospitalization Among Patients in Intensive Care
    Zilberberg, Marya D.
    Shorr, Andrew F.
    Micek, Scott T.
    Kollef, Marin H.
    INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2015, 36 (03): : 273 - 279
  • [50] Eosinopenia as a predictor of unexpected re-admission and mortality after intensive care unit discharge
    Yip, C. B.
    Ho, K. M.
    ANAESTHESIA AND INTENSIVE CARE, 2013, 41 (02) : 231 - 241