1 |
Mozaffarian D, Benjamin EJ, Go AS, et al. Heart disease and stroke statistics--2015 update: a report from the American Heart Association [J]. Circulation, 2015, 131(4): e29-322.
|
2 |
Girotra S, Nallamothu BK, Spertus JA, et al. Trends in survival after in-hospital cardiac arrest [J]. N Engl J Med, 2012, 367(20): 1912-1920.
|
3 |
张娜, 刘纪改. 心肺复苏中溶栓对脑复苏影响的研究进展 [J]. 中华急诊医学杂志, 2009, 18(8): 891-892.
|
4 |
Storm C, Nee J, Sunde K, et al. A survey on general and temperature management of post cardiac arrest patients in large teaching and university hospitals in European countries--SPAME trial results [J]. Resuscitation, 2017, 116: 84-90.
|
5 |
Nolan JP, Sandroni C, Böttiger BW, et al. European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care [J]. Intensive Care Med, 2021, 47(4): 369-421.
|
6 |
Berg KM, Cheng A, Panchal AR, et al. Part 7: Systems of Care: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care [J]. Circulation, 2020, 142(16_suppl_2): S580-S604.
|
7 |
Du L, Zheng K, Feng L, et al. The first national survey on practices of neurological prognostication after cardiac arrest in China, still a lot to do [J]. Int J Clin Pract, 2021, 75(4): e13759.
|
8 |
Ma Q, Feng L, Wang T, et al. 2020 expert consensus statement on neuro-protection after cardiac arrest in China [J]. Ann Transl Med, 2021, 9(2): 175.
|
9 |
Wijdicks EFM, Hijdra A, Young GB, et al. Practice parameter: prediction of outcome in comatose survivors after cardiopulmonary resuscitation (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology [J]. Neurology, 2006, 67(2): 203-210.
|
10 |
心肺复苏后昏迷患者早期神经功能预后评估专家共识组. 心肺复苏后昏迷患者早期神经功能预后评估专家共识 [J]. 中华急诊医学杂志, 2019, 28(2): 156-162.
|
11 |
Samaniego EA, Mlynash M, Caulfield AF, et al. Sedation confounds outcome prediction in cardiac arrest survivors treated with hypothermia [J]. Neurocrit Care, 2011, 15(1): 113-119.
|
12 |
Field JM, Hazinski MF, Sayre MR, et al. Part 1: executive summary: 2010 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care [J]. Circulation, 2010, 122(18 Suppl 3): S640-S656.
|
13 |
Zandbergen EGJ, Hijdra A, JHTM Koelman, et al. Prediction of poor outcome within the first 3 days of postanoxic coma [J]. Neurology, 2006, 66(1): 62-68.
|
14 |
Terman SW, Hume B, Meurer WJ, et al. Impact of presenting rhythm on short-and long-term neurological outcome in comatose survivors of cardiac arrest treated with therapeutic hypothermia [J]. Crit Care Med, 2014, 42(10): 2225-2234.
|
15 |
Stammet P, Collignon O, Hassager C, et al. Neuron-specific enolase as a predictor of death or poor neurological outcome after out-of-hospital cardiac arrest and targeted temperature management at 33℃ and 36℃ [J]. J Am Coll Cardiol, 2015, 65(19): 2104-2114.
|
16 |
Wang CH, Chang WT, Su KI, et al. Neuroprognostic accuracy of blood biomarkers for post-cardiac arrest patients: a systematic review and meta-analysis [J]. Resuscitation, 2020, 148: 108-117.
|
17 |
Deye N, Nguyen P, Vodovar N, et al. Protein S100B as a reliable tool for early prognostication after cardiac arrest [J]. Resuscitation, 2020, 156: 251-259.
|
18 |
Rothstein TL. SSEP retains its value as predictor of poor outcome following cardiac arrest in the era of therapeutic hypothermia [J]. Crit Care, 2019, 23(1): 327.
|
19 |
Lachance B, Wang Z, Badjatia N, et al. Somatosensory evoked potentials and neuroprognostication after cardiac arrest [J]. Neurocrit Care, 2020, 32(3): 847-857.
|
20 |
Gentsch A, Storm C, Leithner C, et al. Outcome prediction in patients after cardiac arrest: a simplified method for determination of gray-white matter ratio in cranial computed tomography [J]. Clin Neuroradiol, 2015, 25(1): 49-54.
|
21 |
Hirsch KG, Fischbein N, Mlynash M, et al. Prognostic value of diffusion-weighted MRI for post-cardiac arrest coma [J]. Neurology, 2020, 94(16): e1684-e1692.
|
22 |
Velly L, Perlbarg V, Boulier T, et al. Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study [J]. Lancet Neurol, 2018, 17(4): 317-326.
|
23 |
Norton L, Hutchison R, Young G, et al. Disruptions of functional connectivity in the default mode network of comatose patients [J]. Neurology, 2012, 78(3): 175-181.
|
24 |
Koenig MA, Holt JL, Ernst T, et al. MRI default mode network connectivity is associated with functional outcome after cardiopulmonary arrest [J]. Neurocrit Care, 2014, 20(3): 348-357.
|