Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-22T12:11:44.676Z Has data issue: false hasContentIssue false

Factors Associated with In-Patient Mortality in the Rapid Assessment of Adult Earthquake Trauma Patients

Published online by Cambridge University Press:  25 April 2022

Hai Hu*
Affiliation:
Emergency Management Office of West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China; China International Emergency Medical Team (Sichuan), Chengdu City, Sichuan Province, China; Emergency Medical Rescue Base, Sichuan University, Chengdu City, Sichuan Province, China
Xiaoqin Lai
Affiliation:
Day Surgery Center, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China; China International Emergency Medical Team (Sichuan), Chengdu City, Sichuan Province, China; West China School of Nursing, Sichuan University, Chengdu City, Sichuan Province, China
Chunping Tan
Affiliation:
Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu City, Sichuan Province, China
Ni Yao
Affiliation:
Department of Critical care medicine, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China; China International Emergency Medical Team (Sichuan), Chengdu City, Sichuan Province, China; West China School of Nursing, Sichuan University, Chengdu City, Sichuan Province, China
Longping Yan
Affiliation:
West China Medical School, Sichuan University, Chengdu, Sichuan, China; West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
*
Correspondence: Hai Hu, MD No. 37. Guoxue Road Chengdu City, Sichuan Province, China E-mail: [email protected]

Abstract

Objective:

To date, there is limited evidence for health care providers regarding the determinants of early assessment of poor outcomes of adult in-patients due to earthquakes. This study aimed to explore factors related to early assessment of adult earthquake trauma patients (AETPs).

Methods:

The data on 29,933 AETPs in the West China Earthquake Patients Database (WCEPD) were analyzed retrospectively. Then, 37 simple variables that could be obtained rapidly upon arrival at the hospital were collected. The least absolute shrinkage and selection operator (LASSO) regression analyses were performed. A nomogram was then constructed.

Results:

Nine independent mortality-related factors that contributed to AETP in-patient mortality were identified. The variables included age (OR:1.035; 95%CI, 1.027-1.044), respiratory rate ([RR]; OR:1.091; 95%CI, 1.050-1.133), pulse rate ([PR]; OR:1.028; 95%CI, 1.020-1.036), diastolic blood pressure ([DBP]; OR:0.96; 95%CI, 0.950-0.970), Glasgow Coma Scale ([GCS]; OR:0.666; 95%CI, 0.643-0.691), crush injury (OR:3.707; 95%CI, 2.166-6.115), coronary heart disease ([CHD]; OR:4.025; 95%CI, 1.869-7.859), malignant tumor (OR:4.915; 95%CI, 2.850-8.098), and chronic kidney disease ([CKD]; OR:5.735; 95%CI, 3.209-10.019).

Conclusions:

The nine mortality-related factors for ATEPs, including age, RR, PR, DBP, GCS, crush injury, CHD, malignant tumor, and CKD, could be quickly obtained on hospital arrival and should be the focal point of future earthquake response strategies for AETPs. Based on these factors, a nomogram was constructed to screen for AETPs with a higher risk of in-patient mortality.

Type
Original Research
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the World Association for Disaster and Emergency Medicine

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Note: Both Hai Hu and Xiaoqin Lai contributed equally to this work and should be regarded as co-first authors.

References

United Nations. General Assembly-2015. Sendai Framework for Disaster Risk Reduction 2015-2030. https://www.preventionweb.net/files/43291_sendaiframeworkfordrren.pdf. Accessed January 2022.Google Scholar
Peng, Y, Hu, H. Assessment of earthquake casualties and comparison of accuracy of five injury triage methods: evidence from a retrospective study. BMJ Open. 2021;11(10):e051802.CrossRefGoogle ScholarPubMed
Tanaka, H, Oda, J, Iwai, A, et al. Morbidity and mortality of hospitalized patients after the 1995 Hanshin-Awaji earthquake. Am J Emerg Med. 1999;17(2):186191.CrossRefGoogle ScholarPubMed
Wen, J, Shi, YK, Li, YP, et al. Risk factors of earthquake inpatient death: a case control study. Crit Care. 2009;13(1):R24.CrossRefGoogle ScholarPubMed
Ross, SW, Adeyemi, FM, Zhou, M, et al. One-year mortality in geriatric trauma patients: improving upon the geriatric trauma outcomes score utilizing the social security death index. J Trauma Acute Care Surg. 2019;87(5):11481155.CrossRefGoogle ScholarPubMed
Liu, S, He, C. Related factors associated with earthquake inpatient mortality. Disaster Med Public Health Prep. 2020. Epub ahead of print.CrossRefGoogle Scholar
Choi, J, Marafino, BJ, Vendrow, EB, et al. Rib fracture frailty index: a risk-stratification tool for geriatric patients with multiple rib fractures. J Trauma Acute Care Surg. 2021;91(6):932939.Google ScholarPubMed
Klosa, J, Simon, N, Westermark, PO, et al. Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent. BMC Bioinformatics. 2020;21(1):407.CrossRefGoogle ScholarPubMed
McEligot, AJ, Poynor, V, Sharma, R, et al. Logistic LASSO regression for dietary intakes and breast cancer. Nutrients. 2020;12(9):2652.CrossRefGoogle ScholarPubMed
Umemura, Y, Katayama, Y, Kitamura, T, et al. Patient age affects sex-based differences in post-traumatic mortality: a national trauma registry study in Japan. Eur J Trauma Emerg Surg. 2021. Epub ahead of print.CrossRefGoogle Scholar
Ahmed, N, Greenberg, P. Early risk stratification of in hospital mortality following a ground level fall in geriatric patients with normal physiological parameters. Am J Emerg Med. 2020;38(12):25312535.CrossRefGoogle ScholarPubMed
Bliemel, C, Buecking, B, Oberkircher, L, et al. The impact of pre-existing conditions on functional outcome and mortality in geriatric hip fracture patients. Int Orthop. 2017;41(10):19952000.CrossRefGoogle ScholarPubMed
Hai, H, Ya-Rong, H, Xin-Miao, D, et al. Chief complaints associated with mortality involving civilian transport after Wenchuan earthquake. Eur J Emerg Med. 2014;21(5):364367.CrossRefGoogle Scholar
Alsaleh, K, Bednar, D, Farrokhyar, F. Acute traumatic quadriplegia in adults: predictors of acute in-hospital mortality. Turk Neurosurg. 2017;27(6):942945.Google ScholarPubMed
Doocy, S, Cherewick, M, Kirsch, T. Mortality following the Haitian earthquake of 2010: a stratified cluster survey. Popul Health Metr. 2013;11(1):5.CrossRefGoogle ScholarPubMed
Salottolo, K, Panchal, R, Madayag, RM, et al. Incorporating age improves the Glasgow Coma Scale score for predicting mortality from traumatic brain injury. Trauma Surg Acute Care Open. 2021;6(1):e000641.CrossRefGoogle ScholarPubMed
Barell, V, Aharonson-Daniel, L, Fingerhut, LA, et al. An introduction to the Barell body region by nature of injury diagnosis matrix. Inj Prev. 2002;8(2):9196.CrossRefGoogle Scholar
Sauerbrei, W, Royston, P, Binder, H. Selection of important variables and determination of functional form for continuous predictors in multivariable model building. Stat Med. 2007;26(30):55125528.CrossRefGoogle ScholarPubMed
Zhou, Y, He, Y, Yang, H, et al. Development and validation a nomogram for predicting the risk of severe COVID-19: a multi-center study in Sichuan, China. PLoS One. 2020;15(5):e0233328.CrossRefGoogle ScholarPubMed
Friedman, J, Hastie, T, Tibshirani, R. Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 2010;33(1):122.CrossRefGoogle ScholarPubMed
Stonko, DP, Etchill, EW, Giuliano, KA, et al. Failure to rescue in geriatric trauma: the impact of any complication increases with age and injury severity in elderly trauma patients. Am Surg. 2021;87(11):17601765.CrossRefGoogle ScholarPubMed
Pant, B, Banjade, S. Geriatric care post-mega earthquake 2015 Nepal. Innovation in Aging. 2017;1(Suppl 1):538.CrossRefGoogle Scholar
Abe, K. Rescue system establishment for neurological patients in case of natural disastrous emergency. Journal of Rinsho Shinkeigaku. 2012;52(11):13481350.CrossRefGoogle ScholarPubMed
Pretto, EA, Angus, DC, Abrams, JI, et al. An analysis of prehospital mortality in an earthquake. Disaster Reanimatology Study Group. Prehosp Disaster Med. 1994;9(2):107117.CrossRefGoogle Scholar
Ersoy, A, Yavuz, M, Usta, M, et al. Survival analysis of the factors affecting in mortality in injured patients requiring dialysis due to acute renal failure during the Marmara earthquake: survivors vs non-survivors. Clin Nephrol. 2003;59(5):334340.CrossRefGoogle ScholarPubMed
Guner, SI, Oncu, MR. Evaluation of crush syndrome patients with extremity injuries in the 2011 Van Earthquake in Turkey. J Clin Nurs. 2014;23(1-2):243249.CrossRefGoogle ScholarPubMed
Oda, J, Tanaka, H, Yoshioka, T, et al. Analysis of 372 patients with crush syndrome caused by the Hanshin-Awaji earthquake. J Trauma. 1997;42(3):470475.CrossRefGoogle ScholarPubMed
Grossman, MD, Miller, D, Scaff, DW, et al. When is an elder old? Effect of preexisting conditions on mortality in geriatric trauma. J Trauma. 2002;52(2):242246.Google ScholarPubMed
Barrera, LM, Perel, P, Ker, K, et al. Thromboprophylaxis for trauma patients. Cochrane Database Syst Rev. 2013;(3):CD008303.CrossRefGoogle Scholar
Zhang, L, Fu, P, Wang, L, et al. The clinical features and outcome of crush patients with acute kidney injury after the Wenchuan earthquake: differences between elderly and younger adults. Injury. 2012;43(9):14701475.CrossRefGoogle ScholarPubMed
Bai, J, Zhang, P, Liang, X, et al. Association between dementia and mortality in the elderly patients undergoing hip fracture surgery: a meta-analysis. J Orthop Surg Res. 2018;13(1):298.CrossRefGoogle ScholarPubMed
Kirshenbom, D, Ben-Zaken, Z, Albilya, N, et al. Older age, comorbid illnesses, and injury severity affect immediate outcome in elderly trauma patients. J Emerg Trauma Shock. 2017;10(3):146150.Google ScholarPubMed
Clement, C, Abeling, S, Deely, J, et al. Descriptive epidemiology of New Zealand’s highest mortality earthquake: Hawke’s Bay in 1931. Sci Rep. 2019;9(1):4914.CrossRefGoogle ScholarPubMed
McHale, P, Hungerford, D, Taylor-Robinson, D, et al. Socioeconomic status and 30-day mortality after minor and major trauma: a retrospective analysis of the Trauma Audit and Research Network (TARN) dataset for England. PLoS One. 2018;13(12):e0210226.CrossRefGoogle Scholar
Hu, Y, Wang, JF, Li, XH, et al. Application of Bayesian geostatistical modeling for the assessment of risk for child mortality during the 2008 earthquake in Wenchuan, People’s Republic of China. Geospat Health. 2012;6(2):247255.10.4081/gh.2012.142CrossRefGoogle ScholarPubMed
Rom, A, Kelman, I. Search without rescue? Evaluating the international search and rescue response to earthquake disasters. BMJ Glob Health. 2020;5(12):e002398.CrossRefGoogle ScholarPubMed
Supplementary material: PDF

Hu et al. supplementary material

Online Appendix

Download Hu et al. supplementary material(PDF)
PDF 482.3 KB