Spectral analysis of heart rate variability for trauma outcome prediction: an analysis of 210 ICU multiple trauma patients

被引:5
|
作者
Luo, Xiaomin [1 ]
Gao, Haijun [1 ]
Yu, Xingxia [1 ]
Jiang, Zongping [1 ]
Yang, Weize [1 ]
机构
[1] Wuhan Univ, Dept Emergency, Renmin Hosp, 238 Jiefang Rd, Wuhan 430060, Peoples R China
关键词
Heart rate variability; Injury severity score; New injury severity score; Trauma and injury severity score; Multiple trauma; Outcome prediction; INJURY SEVERITY SCORE; ORGAN DYSFUNCTION; BRAIN-INJURY; MORTALITY; INFLAMMATION; FAILURE; SEPSIS; TRISS; DEATH;
D O I
10.1007/s00068-019-01175-5
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Purpose This study aimed to test and compare short-term spectral HRV indices with most used trauma scorings in outcome prediction of multiple trauma, and then to explore the efficacy of their combined application. Methods A prospective study was conducted for patients with blunt multiple trauma admitted to an emergency intensive care unit (ICU) between January 2016 and December 2017. Short-term spectral HRV indices on admission were measured, including normalized low-frequency power (nLF), normalized high-frequency power (nHF), and the nLF/nHF ratio. Injury severity score (ISS), new injury severity score (NISS), and revised trauma score (RTS) were evaluated for each patient, as well as probability of survival (Ps) by trauma and injury severity score (TRISS) model. The primary outcome was 30-day mortality and secondary outcomes were incidence of multiple organ dysfunction syndrome (MODS) and length of ICU stay. Results Two hundred and ten patients were recruited. The nLF/nHF ratio, RTS, and Ps((TRISS)) were independent predictors of 30-day mortality, while nLF/nHF, NISS and RTS were independent predictors of MODS. The area under the receiver operating characteristic (ROC) curve (AUC) of nLF/nHF for 30-day mortality prediction was 0.924, comparable to RTS (0.951) and Ps((TRISS)) (0.892). AUC of nLF/nHF-RTS combination was 0.979, significantly greater than that of each alone. Combination of nLF/nHF and Ps((TRISS)) showed an increased AUC (0.984) compared to each of them. The nLF/nHF ratio presented a similar AUC (0.826) to NISS (0.818) or RTS (0.850) for MODS prediction. AUC of nLF/nHF-RTS combination was 0.884, significantly greater than that of nLF/nHF. Combination of nLF/nHF and NISS showed a greater AUC (0.868) than each alone. The nLF/nHF ratio, NISS, RTS, and Ps((TRISS)) were correlated with length of ICU stay for survivors, with correlation coefficients 0.476, 0.617, - 0.588, and - 0.539. Conclusions These findings suggest that the short-term spectral analysis of HRV might be a potential early tool to assess injury severity and predict outcome of multiple trauma. Combination of nLF/nHF and conventional trauma scores can provide more accuracy in outcome prediction of multiple trauma.
引用
收藏
页码:153 / 160
页数:8
相关论文
共 50 条
  • [21] Does tranexamic acid have a positive effect on the outcome of older multiple trauma patients on antithrombotic drugs? An analysis using the TraumaRegister DGU®
    Fitschen-Oestern, Stefanie
    Franke, Georg Maximilian
    Kirsten, Nora
    Lefering, Rolf
    Lippross, Sebastian
    Schroeder, Ove
    Klueter, Tim
    Mueller, Michael
    Seekamp, Andreas
    FRONTIERS IN MEDICINE, 2024, 11
  • [22] Spectral analysis of heart rate variability in sleep
    Busek, P
    Vanková, J
    Opavsky, J
    Salinger, J
    Nevsímalová, S
    PHYSIOLOGICAL RESEARCH, 2005, 54 (04) : 369 - 376
  • [23] The McPeek scoring system in multiple trauma patients. The modified McPeek score as a new method for outcome assessment in multiple trauma patients
    Kreutziger, J.
    Vollbach, F.
    Schmid, S.
    Wenzel, V.
    Constantinescu, M. A.
    NOTFALL & RETTUNGSMEDIZIN, 2014, 17 (03): : 217 - 222
  • [24] An Analysis of Presentation, Pattern and Outcome of Chest Trauma Patients at an Urban Level 1 Trauma Center
    Narayanan, Rajasekhar
    Kumar, Subodh
    Gupta, Amit
    Bansal, Virinder Kumar
    Sagar, Sushma
    Singhal, Maneesh
    Mishra, Biplab
    Bhoi, Sanjeev
    Gupta, Babita
    Gamangatti, Shivanand
    Kumar, Adarsh
    Misra, Mahesh Chandra
    INDIAN JOURNAL OF SURGERY, 2018, 80 (01) : 36 - 41
  • [25] SPECTRAL ANALYSIS OF HEART RATE VARIABILITY IN PATIENTS WITH SPINAL CORD INJURY
    Uhlir, Petr
    Opavsky, Jaroslav
    Zaatar, Amr
    Betlachova, Milada
    ACTA GYMNICA, 2010, 40 (02) : 55 - 62
  • [26] ROC Analysis of the Outcome Predictive Markers for Multiple Trauma Patients during Early Posttraumatic Period
    Stupnytskyi, Myroslav
    Zhukov, Viktor
    Gorbach, Tatyana
    Biletskii, Oleksii
    Kutucu, Hakan
    IDDM 2021: INFORMATICS & DATA-DRIVEN MEDICINE: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INFORMATICS & DATA-DRIVEN MEDICINE (IDDM 2021), 2021, 3038 : 260 - 268
  • [27] Spectral analysis and interpretation of spectral components of heart rate variability
    Mamiy V.I.
    Human Physiology, 2006, 32 (2) : 169 - 176
  • [28] Spectral analysis of heart rate variability in patients with paroxysmal supraventricular tachycardia
    Khayutin, VM
    Bekbosynova, MS
    Lukoshkova, EV
    Golitsyn, SP
    KARDIOLOGIYA, 2001, 41 (05) : 38 - 45
  • [29] Impact of comorbidities on the prognoses of trauma patients: Analysis of a hospital-based trauma registry database
    Wang, Chih-Yuan
    Chen, Yi-Chan
    Chien, Ti-Hsuan
    Chang, Hao-Yu
    Chen, Yu-Hsien
    Chien, Chih-Ying
    Huang, Ting-Shuo
    PLOS ONE, 2018, 13 (03):
  • [30] Epidemiology and risk factors of sepsis after multiple trauma: An analysis of 29,829 patients from the Trauma Registry of the German Society for Trauma Surgery
    Wafaisade, Arasch
    Lefering, Rolf
    Bouillon, Bertil
    Sakka, Samir G.
    Thamm, Oliver C.
    Paffrath, Thomas
    Neugebauer, Edmund
    Maegele, Marc
    CRITICAL CARE MEDICINE, 2011, 39 (04) : 621 - 628