Journal of Peking University (Health Sciences) ›› 2024, Vol. 56 ›› Issue (2): 307-312. doi: 10.19723/j.issn.1671-167X.2024.02.016

Previous Articles     Next Articles

Risk factors for acute respiratory distress syndrome in patients with traumatic hemorrhagic shock

Xiaoqian SI1,2,Xiujuan ZHAO1,*(),Fengxue ZHU1,Tianbing WANG3   

  1. 1. Department of Critical Care Medicine, Trauma Medicine Center, Peking University People's Hospital, Beijing 100044, China
    2. Peking University School of Basic Medical Sciences, Beijing 100191, China
    3. Trauma Medicine Center, Peking University People's Hospital; National Center for Trauma Medicine of China; Key Laboratory of Trauma and Neural Regeneration (Peking University) of Ministry of Education; Beijing 100044, China
  • Received:2023-04-27 Online:2024-04-18 Published:2024-04-10
  • Contact: Xiujuan ZHAO E-mail:zxj_0515@163.com
  • Supported by:
    the Transverse Research Project(2022-Z-42);the Research And Development Funds of Peking University People's Hospital(RDJ2022-26)

RICH HTML

  

Abstract:

Objective: To investigate the risk factors of acute respiratory distress syndrome (ARDS) after traumatic hemorrhagic shock. Methods: This was a retrospective cohort study of 314 patients with traumatic hemorrhagic shock at Trauma Medicine Center, Peking University People's Hospital from December 2012 to August 2021, including 152 male patients and 162 female patients, with a median age of 63.00 (49.75-82.00) years. The demographic data, past medical history, injury assessment, vital signs, laboratory examination and other indicators of these patients during hospitalization were recorded. These patients were divided into two groups, ARDS group (n=89) and non-ARDS group (n=225) according to whether there was ARDS within 7 d of admission. Risk factors for ARDS were identified using Logistic regression. The C-statistic expressed as a percentage [area under curve (AUC) of the receiver operating characteristic (ROC) curve] was used to assess the discrimination of the model. Results: The incidence of ARDS after traumatic hemorrhagic shock was 28.34%. Finally, Logistic regression model showed that the independent risk factors of ARDS after traumatic hemorrhagic shock included male, history of coronary heart disease, high acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, road traffic accident and elevated troponin Ⅰ. The OR and 95% confidence intervals (CI) were 4.01 (95%CI: 1.75-9.20), 5.22 (95%CI: 1.29-21.08), 1.07 (95%CI: 1.02-1.57), 2.53 (95%CI: 1.21-5.28), and 1.26 (95%CI: 1.02-1.57), respectively; the P values were 0.001, 0.020, 0.009, 0.014, and 0.034, respectively. The ROC curve was used to analyze the value of each risk factor in predicting ARDS. It was found that the AUC for predicting ARDS after traumatic hemorrhagic shock was 0.59 (95%CI: 0.51-0.68) for male, 0.55 (95%CI: 0.46-0.64) for history of coronary heart disease, 0.65 (95%CI: 0.57-0.73) for APACHE Ⅱ score, 0.58 (95%CI: 0.50-0.67) for road traffic accident, and 0.73 (95%CI: 0.66-0.80) for elevated troponin Ⅰ, with an overall predictive value of 0.81 (95%CI: 0.74-0.88). Conclusion: The incidence of ARDS in patients with traumatic hemorrhagic shock is high, and male, history of coronary heart disease, high APACHE Ⅱ score, road traffic accident and elevated troponin Ⅰ are independent risk factors for ARDS after traumatic hemorrhagic shock. Timely monitoring these indicators is conducive to early detection and treatment of ARDS after traumatic hemorrhagic shock.

Key words: Acute respiratory distress syndrome, Trauma, Hemorrhagic shock, Risk factors

CLC Number: 

  • R563.8

Table 1

Comparison of risk factors between traumatic hemorrhagic shock patients with and without ARDS"

Characters ARDS group (n=89) Non-ARDS group (n=225) Statistics P value
Gender 15.907 <0.001
  Male 59 (66.29) 93 (41.33)
  Female 30 (33.71) 132 (58.67)
Age/years 63.00 (51.00, 82.00) 63.00 (49.00, 82.00) 0.106 0.916
Preadmission conditions
  Chronic renal insufficiency 2 (2.25) 2 (0.89) 0.936 0.333
  Coronary heart disease 10 (11.24) 8 (3.56) 6.962 0.008
  Hypertension 28 (31.46) 74 (32.89) 0.059 0.808
  Diabetes mellitus 9 (10.11) 36 (16.00) 1.801 0.180
Causes of trauma
  Road traffic accident 35 (39.33) 60 (26.67) 4.779 0.024
  Falling from height 15 (16.85) 32 (14.22) 0.347 0.556
  Falling from a standing position 34 (38.20) 112 (49.78) 3.435 0.064
  Others (crush, stab, animal bite) 5 (5.62) 21 (9.33) 1.159 0.282
Main bleeding site
  Thoracic 24 (26.97) 31 (13.78) 7.678 0.006
  Abdominal 13 (14.61) 21 (9.33) 1.837 0.175
  Pelvic 10 (11.23) 21 (9.33) 0.259 0.610
  Limbs 35 (39.33) 109 (48.44) 2.347 0.126
  Others (blood vessels, skin, soft tissue) 7 (7.86) 43 (19.11) 6.024 0.014
Mean arterial pressure/mmHg 61.20 (50.82, 71.58) 67.30 (58.01, 76.59) 1.894 0.058
Heart rate/(beats/min) 124.00 (108.00, 140.00) 109.50 (94.00, 125.00) 3.926 <0.001
Shock index 1.16 (0.90, 1.67) 1.03 (0.76, 1.26) 3.318 0.001
Perfusion index 3.7 (0.7, 4.3) 4.0 (1.2, 4.4) 1.788 0.074
Central venous pressure/mmHg 4.00 (2.25, 6.75) 5.00 (3.00, 7.00) 2.151 0.032
Respiration rate/(breaths/min) 25.00 (21.50, 30.50) 22.00 (19.00, 25.00) 2.715 0.007
Temperature/℃ 37.70 (37.00, 38.30) 37.50 (37.00, 38.00) 1.472 0.141
Laboratory test
  Leukocyte count/(×109/L) 9.96 (5.71, 14.21) 10.73 (8.23, 13.23) 3.206 0.001
  Lymphocyte count/(×109/L) 0.79 (0.54, 1.04) 0.76 (0.44, 1.08) 0.559 0.576
  Hemoglobin/(g/L) 92.00 (76.38, 107.63) 96.00 (80.38, 111.63) 0.484 0.629
  Platelet count/(×109/L) 131.50 (87.50, 175.50) 132.00 (91.00, 173.00) 0.302 0.762
  Serum albumin/(g/L) 29.65 (23.20, 33.43) 31.50 (27.05, 36.00) 2.937 0.003
  Serum creatinine/(μmol/L) 76.00 (61.00, 117.00) 69.00 (54.50, 89.50) 2.492 0.013
  Total bilirubin/(μmol/L) 15.05 (9.95, 20.20) 14.30 (10.85, 21.00) 0.472 0.637
  Fibrinogen/(mg/dL) 175.00 (92.00, 258.00) 180.50 (106.50, 254.50) 1.874 0.061
  Cardiac troponin Ⅰ/(μg/L) 0.194 (0.032, 0.697) 0.020 (0.006, 0.094) 6.237 <0.001
  Lactate/(mmol/L) 3.10 (1.95, 3.90) 3.00 (1.60, 6.18) 0.803 0.422
  C-reactive protein/(mg/L) 41.8 (13.45, 87.65) 28.7 (11.0, 67.03) 1.230 0.219
  Interleukin-6/(ng/L) 112.95 (48.45, 189.35) 87.50 (36.80, 156.40) 1.362 0.172
ISS 27.16 (19.66, 34.66) 22.00 (14.50, 29.50) 3.681 <0.001
APACHE Ⅱ score 19.00 (17.00, 23.00) 16.00 (12.00, 20.00) 4.779 <0.001
Hospital mortality 15 (16.85) 15 (6.67) 7.659 0.006

Table 2

Establishment of Logistic regression model of ARDS after traumatic hemorrhagic shock"

Characters Univariate analysis Multivariate analysis
P OR (95%CI) β Wald P OR (95%CI)
Male <0.001 2.791 (1.671-4.664) 1.389 10.740 0.001 4.009 (1.747-9.199)
History of coronary heart disease 0.012 3.434 (1.309-9.010) 1.653 5.389 0.020 5.222 (1.293-21.080)
Road traffic accident 0.029 1.782 (1.062-2.992) 0.926 6.048 0.014 2.532 (1.207-5.277)
Thoracic bleeding 0.006 2.311 (1.265-4.220)
Bleeding at other sites 0.018 0.361 (0.156-0.837)
Heart rate 0.017 1.047 (1.008-1.088)
Shock index <0.001 2.446 (1.491-4.014)
Central venous pressure 0.025 0.882 (0.790-0.984)
Respiration rate 0.291 1.158 (0.882-1.519)
Leukocyte count 0.009 1.059 (1.014-1.106)
Serum albumin 0.003 0.943 (0.907-0.980)
Serum creatinine 0.052 1.005 (1.000-1.009)
Cardiac troponin Ⅰ 0.002 1.420 (1.133-1.779) 0.234 4.489 0.034 1.264 (1.018-1.569)
ISS <0.001 1.045 (1.019-1.071)
APACHE Ⅱ score <0.001 1.094 (1.048-1.141) 0.071 6.852 0.009 1.074 (1.018-1.569)

Figure 1

ROC curve analysis of risk factors for the prediction of ARDS after traumatic hemorrhagic shock ARDS, acute respiratory distress syndrome; ROC, receiver operating characteristic."

1 Meyer NJ , Gattinoni L , Calfee CS . Acute respiratory distress syndrome[J]. Lancet, 2021, 398 (10300): 622- 637.
doi: 10.1016/S0140-6736(21)00439-6
2 Rezoagli E , Fumagalli R , Bellani G . Definition and epidemiology of acute respiratory distress syndrome[J]. Ann Transl Med, 2017, 5 (14): 282.
doi: 10.21037/atm.2017.06.62
3 Jiang S , Wu M , Lu X , et al. Is restrictive fluid resuscitation beneficial not only for hemorrhagic shock but also for septic shock? A meta-analysis[J]. Medicine (Baltimore), 2021, 100 (12): e25143.
doi: 10.1097/MD.0000000000025143
4 赵秀娟, 王储, 黄伟, 等. 创伤出血性休克患者院内死亡风险的判别分析[J]. 中华普通外科杂志, 2021, 36 (8): 608- 611.
5 ARDS Definition Task Force , Ranieri VM , Rubenfeld GD , et al. Acute respiratory distress syndrome: The Berlin definition[J]. JAMA, 2012, 307 (23): 2526- 2533.
6 穆庆华, 李明. 急性创伤患者发生早期ARDS的危险因素分析[J]. 中国急救复苏与灾害医学杂志, 2020, 15 (3): 319- 322.
7 秦燕明, 王鹏, 徐旋旋, 等. 严重多发伤继发急性呼吸窘迫综合征的危险因素分析[J]. 中华危重病急救医学, 2021, 33 (3): 299- 304.
8 Shoemaker WC , Appel P , Czer LS , et al. Pathogenesis of respiratory failure (ARDS) after hemorrhage and trauma: Ⅰ. Cardiorespiratory patterns preceding the development of ARDS[J]. Crit Care Med, 1980, 8 (9): 504- 512.
doi: 10.1097/00003246-198009000-00006
9 Daher P , Teixeira PG , Coopwood TB , et al. Mild to moderate to severe: What drives the severity of ARDS in trauma patients?[J]. Am Surg, 2018, 84 (6): 808- 812.
doi: 10.1177/000313481808400623
10 Tignanelli CJ , Hemmila MR , Rogers MAM , et al. Nationwide cohort study of independent risk factors for acute respiratory distress syndrome after trauma[J]. Trauma Surg Acute Care Open, 2019, 4 (1): e000249.
doi: 10.1136/tsaco-2018-000249
11 Angele MK , Frantz MC , Chaudry IH . Gender and sex hormones influence the response to trauma and sepsis: potential therapeutic approaches[J]. Clinics (Sao Paulo), 2006, 61 (5): 479- 488.
doi: 10.1590/S1807-59322006000500017
12 Navarrete-Navarro P , Rivera-Fernández R , Rincón-Ferrari MD , et al. Early markers of acute respiratory distress syndrome development in severe trauma patients[J]. J Crit Care, 2006, 21 (3): 253- 258.
doi: 10.1016/j.jcrc.2005.12.012
13 Naidech AM , Bassin SL , Garg RK , et al. Cardiac troponin Ⅰ and acute lung injury after subarachnoid hemorrhage[J]. Neurocrit Care, 2009, 11 (2): 177- 182.
doi: 10.1007/s12028-009-9223-y
14 Metkus TS , Guallar E , Sokoll L , et al. Progressive myocardial injury is associated with mortality in the acute respiratory distress syndrome[J]. J Crit Care, 2018, 48, 26- 31.
doi: 10.1016/j.jcrc.2018.08.009
15 Jayasimhan D , Foster S , Chang CL , et al. Cardiac biomarkers in acute respiratory distress syndrome: A systematic review and meta-analysis[J]. J Intensive Care, 2021, 9 (1): 36.
16 牟小芬, 张进川, 刘长庭, 等. 老年人呼吸窘迫综合征的诊治问题(附14例临床分析)[J]. 中华老年医学杂志, 1995, 14 (2): 92- 94.
[1] Zhicun LI, Tianyu WU, Lei LIANG, Yu FAN, Yisen MENG, Qian ZHANG. Risk factors analysis and nomogram model construction of postoperative pathological upgrade of prostate cancer patients with single core positive biopsy [J]. Journal of Peking University (Health Sciences), 2024, 56(5): 896-901.
[2] Ye YAN,Xiaolong LI,Haizhui XIA,Xuehua ZHU,Yuting ZHANG,Fan ZHANG,Ke LIU,Cheng LIU,Lulin MA. Analysis of risk factors for long-term overactive bladder after radical prostatectomy [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 589-593.
[3] Yan CHEN,Kuangmeng LI,Kai HONG,Shudong ZHANG,Jianxing CHENG,Zhongjie ZHENG,Wenhao TANG,Lianming ZHAO,Haitao ZHANG,Hui JIANG,Haocheng LIN. Retrospective study on the impact of penile corpus cavernosum injection test on penile vascular function [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 680-686.
[4] Bo PANG,Tongjun GUO,Xi CHEN,Huaqi GUO,Jiazhang SHI,Juan CHEN,Xinmei WANG,Yaoyan LI,Anqi SHAN,Hengyi YU,Jing HUANG,Naijun TANG,Yan WANG,Xinbiao GUO,Guoxing LI,Shaowei WU. Personal nitrogen oxides exposure levels and related influencing factors in adults over 35 years old in Tianjin and Shanghai [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 700-707.
[5] Jing HE,Zhongze FANG,Ying YANG,Jing LIU,Wenyao MA,Yong HUO,Wei GAO,Yangfeng WU,Gaoqiang XIE. Relationship between lipid metabolism molecules in plasma and carotid atheroscle-rotic plaques, traditional cardiovascular risk factors, and dietary factors [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 722-728.
[6] Shan CAI,Yihang ZHANG,Ziyue CHEN,Yunfe LIU,Jiajia DANG,Di SHI,Jiaxin LI,Tianyu HUANG,Jun MA,Yi SONG. Status and pathways of factors influencing physical activity time among elementary and junior high school students in Beijing [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 403-410.
[7] Zuhong ZHANG,Tianjiao CHEN,Jun MA. Associations between puberty timing and cardiovascular metabolic risk factors among primary and secondary students [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 418-423.
[8] Yuting LIN,Huali WANG,Yu TIAN,Litong GONG,Chun CHANG. Factors influencing cognitive function among the older adults in Beijing [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 456-461.
[9] Wei HUANG,Tingmin XU,Tianbing WANG,Baoguo JIANG. Expert consensus on key indicators for quality control in trauma medicine center [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 551-555.
[10] Jinrong ZHU,Yana ZHAO,Wei HUANG,Weiwei ZHAO,Yue WANG,Song WANG,Chunyan SU. Clinical characteristics of COVID-19 infection in patients undergoing hemodialysis [J]. Journal of Peking University (Health Sciences), 2024, 56(2): 267-272.
[11] Zhanhong LAI,Jiachen LI,Zelin YUN,Yonggang ZHANG,Hao ZHANG,Xiaoyan XING,Miao SHAO,Yuebo JIN,Naidi WANG,Yimin LI,Yuhui LI,Zhanguo LI. A unicenter real-world study of the correlation factors for complete clinical response in idiopathic inflammatory myopathies [J]. Journal of Peking University (Health Sciences), 2024, 56(2): 284-292.
[12] Yangyang LI,Lin HOU,Zijun MA,Shanyamei HUANG,Jie LIU,Chaomei ZENG,Jiong QIN. Association of pregnancy factors with cow's milk protein allergy in infants [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 144-149.
[13] Yifan CHEN,Zhongdi LIU,Peng ZHANG,Wei HUANG. Consistency of injury severity score in severe trauma patients [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 157-160.
[14] Xiaoqiang LIU,Yin ZHOU. Risk factors of perioperative hypertension in dental implant surgeries with bone augmentation [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 93-98.
[15] Liang LUO,Yun LI,Hong-yan WANG,Xiao-hong XIANG,Jing ZHAO,Feng SUN,Xiao-ying ZHANG,Ru-lin JIA,Chun LI. Anti-endothelial cell antibodies in predicting early miscarriage [J]. Journal of Peking University (Health Sciences), 2023, 55(6): 1039-1044.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!