American Journal of Nursing Science

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Effect of Predictive Nursing on Preventing from Bone Cement Implantation Syndrome in Hemiarthroplasty

Received: 27 December 2019    Accepted: 06 January 2020    Published: 17 January 2020
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Abstract

This study is to explore the effect of predictive nursing mode on preventing from bone cement implantation syndrome in hemiarthroplasty. 55 patients who were performed with bone cement hemiarthroplasty in our hospital from January 2018 to December 2018 were selected. These patients were divided into conventional group (n=25) and predictive nursing mode group (n=30) according to nursing modes. Then the systolic pressure (SBP), diastolic blood pressure (DBP), heart rate (HR) and oxyhemoglobin saturation (SpO2) of the two groups of patients were compared 10min before injection of bone cement (T1), at the time of implantation of bone cement (T2), and 10min after injection of bone cement respectively (T3). The occurrence situation of respiratory distress, arrhythmia, dizziness, chest distress, panic, nausea, vomiting and shock for the two groups of patients in the surgery were compared. There was no significant difference for the comparison of the data including age, cardiac function, etc. of the patients between the conventional group and predictive nursing mode group. However, SBP and DBP of the intervention group at the time of T1, T2 and T3 were higher than that of the conventional group (P<0.05). Additionally, HR and SpO2 of the intervention group at the time of T1, T2 and T3 were higher than that of the conventional group (P<0.05). As for the comparison of the evaluation indexes of bone cement for the two groups of patients in the surgery, the occurrence situation of hypotension, hyoxemia and RDS for the intervention group were apparently lower than that for the conventional group (P<0.05). As for the comparison of the intraoperative discomfort for the two groups of patients, the occurrence situation of dizziness, chest distress, panic, vomiting, nausea and shock of the intervention group were lower than that of the conventional group. The predictive nursing mode can be used for early intervention so as to relieve and avoid the occurrence of bone cement implantation syndrome in hemiarthroplasty, therefore it is worthy of being promoted for application. Suspected BCIS should be treated with aggressive resuscitation and supportive care. Prevention of BCIS includes identification of high-risk patients, preoperatively optimizing patient risk factors and comorbidities, and good communication with the surgical team.

DOI 10.11648/j.ajns.20200901.15
Published in American Journal of Nursing Science (Volume 9, Issue 1, February 2020)
Page(s) 30-34
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Predictive Nursing, Bone Cement Implantation Syndrome, Hemiarthroplasty

References
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[3] Hines CB. Understanding Bone Cement Implantation Syndrome. AANA journal 2018, 86 (6): 433-441.
[4] Kwok DHY, Irwin MG. Preoperative assessment of the orthopaedic patient. Anaest Intens Care M 2018, 19 (4): 151-154.
[5] Shi H, Xiao L, Wang Z. Curative effect of artificial femoral head replacement and its effect on hip joint function and complications of senile patients with femoral intertrochanteric fracture. Experimental and therapeutic medicine 2018, 16 (2): 623-628.
[6] Zagra L, Kjaersgaard-Andersen P. Advances in primary and revision total hip replacement. Hip international: the journal of clinical and experimental research on hip pathology and therapy 2014, 24 Suppl 10: S1.
[7] Liu Q, Zhu H. Application of Predictive Nursing Reduces Psychiatric Complications in ICU Patients after Neurosurgery. Iranian journal of public health 2016, 45 (4): 469-473.
[8] Woo R, Minster GJ, Fitzgerald RH, Jr., Mason LD, Lucas DR, Smith FE. The Frank Stinchfield Award. Pulmonary fat embolism in revision hip arthroplasty. Clinical orthopaedics and related research 1995 (319): 41-53.
[9] Vosler PS, Orsini M, Enepekides DJ, Higgins KM. Predicting complications of major head and neck oncological surgery: an evaluation of the ACS NSQIP surgical risk calculator. Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale 2018, 47 (1): 21.
[10] Stirton JB, Maier JC, Nandi S. Total hip arthroplasty for the management of hip fracture: A review of the literature. J Orthop 2019, 16 (2): 141-144.
[11] Govil P, Kakar PN, Arora D, Das S, Gupta N, Govil D, Gupta S, Malohtra A. Bone cement implantation syndrome: a report of four cases. Indian journal of anaesthesia 2009, 53 (2): 214-218.
[12] Qi X, Zhang Y, Pan J, Ma L, Wang L, Wang J. Effect of Bone Cement Implantation on Haemodynamics in Elderly Patients and Preventive Measure in Cemented Hemiarthroplasty. BioMed research international 2015, 2015: 568019.
[13] Soleimanha M, Sedighinejad A, Haghighi M, Nabi BN, Mirbolook AR, Mardani-Kivi M. Hemodynamic and Arterial Blood Gas Parameters during Cemented Hip Hemiarthroplasty in Elderly Patients. The archives of bone and joint surgery 2014, 2 (3): 163-167.
[14] Singh V, Bhakta P, Zietak E, Hussain A. Bone cement implantation syndrome: a delayed postoperative presentation. J Clin Anesth 2016, 31: 274-277.
[15] Vaishya R, Chauhan M, Vaish A. Bone cement. Journal of clinical orthopaedics and trauma 2013, 4 (4): 157-163.
Author Information
  • The First Affiliated Hospital of Jinan University, Guangzhou, China

  • The First Affiliated Hospital of Jinan University, Guangzhou, China

  • The First Affiliated Hospital of Jinan University, Guangzhou, China

  • The First Affiliated Hospital of Jinan University, Guangzhou, China

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    Haiyan Li, Zhiling Ou, Shanghai Ma, Yuyong Liu. (2020). Effect of Predictive Nursing on Preventing from Bone Cement Implantation Syndrome in Hemiarthroplasty. American Journal of Nursing Science, 9(1), 30-34. https://doi.org/10.11648/j.ajns.20200901.15

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    ACS Style

    Haiyan Li; Zhiling Ou; Shanghai Ma; Yuyong Liu. Effect of Predictive Nursing on Preventing from Bone Cement Implantation Syndrome in Hemiarthroplasty. Am. J. Nurs. Sci. 2020, 9(1), 30-34. doi: 10.11648/j.ajns.20200901.15

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    AMA Style

    Haiyan Li, Zhiling Ou, Shanghai Ma, Yuyong Liu. Effect of Predictive Nursing on Preventing from Bone Cement Implantation Syndrome in Hemiarthroplasty. Am J Nurs Sci. 2020;9(1):30-34. doi: 10.11648/j.ajns.20200901.15

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  • @article{10.11648/j.ajns.20200901.15,
      author = {Haiyan Li and Zhiling Ou and Shanghai Ma and Yuyong Liu},
      title = {Effect of Predictive Nursing on Preventing from Bone Cement Implantation Syndrome in Hemiarthroplasty},
      journal = {American Journal of Nursing Science},
      volume = {9},
      number = {1},
      pages = {30-34},
      doi = {10.11648/j.ajns.20200901.15},
      url = {https://doi.org/10.11648/j.ajns.20200901.15},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajns.20200901.15},
      abstract = {This study is to explore the effect of predictive nursing mode on preventing from bone cement implantation syndrome in hemiarthroplasty. 55 patients who were performed with bone cement hemiarthroplasty in our hospital from January 2018 to December 2018 were selected. These patients were divided into conventional group (n=25) and predictive nursing mode group (n=30) according to nursing modes. Then the systolic pressure (SBP), diastolic blood pressure (DBP), heart rate (HR) and oxyhemoglobin saturation (SpO2) of the two groups of patients were compared 10min before injection of bone cement (T1), at the time of implantation of bone cement (T2), and 10min after injection of bone cement respectively (T3). The occurrence situation of respiratory distress, arrhythmia, dizziness, chest distress, panic, nausea, vomiting and shock for the two groups of patients in the surgery were compared. There was no significant difference for the comparison of the data including age, cardiac function, etc. of the patients between the conventional group and predictive nursing mode group. However, SBP and DBP of the intervention group at the time of T1, T2 and T3 were higher than that of the conventional group (P2 of the intervention group at the time of T1, T2 and T3 were higher than that of the conventional group (P<0.05). As for the comparison of the evaluation indexes of bone cement for the two groups of patients in the surgery, the occurrence situation of hypotension, hyoxemia and RDS for the intervention group were apparently lower than that for the conventional group (P<0.05). As for the comparison of the intraoperative discomfort for the two groups of patients, the occurrence situation of dizziness, chest distress, panic, vomiting, nausea and shock of the intervention group were lower than that of the conventional group. The predictive nursing mode can be used for early intervention so as to relieve and avoid the occurrence of bone cement implantation syndrome in hemiarthroplasty, therefore it is worthy of being promoted for application. Suspected BCIS should be treated with aggressive resuscitation and supportive care. Prevention of BCIS includes identification of high-risk patients, preoperatively optimizing patient risk factors and comorbidities, and good communication with the surgical team.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Effect of Predictive Nursing on Preventing from Bone Cement Implantation Syndrome in Hemiarthroplasty
    AU  - Haiyan Li
    AU  - Zhiling Ou
    AU  - Shanghai Ma
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    T2  - American Journal of Nursing Science
    JF  - American Journal of Nursing Science
    JO  - American Journal of Nursing Science
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    PB  - Science Publishing Group
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    AB  - This study is to explore the effect of predictive nursing mode on preventing from bone cement implantation syndrome in hemiarthroplasty. 55 patients who were performed with bone cement hemiarthroplasty in our hospital from January 2018 to December 2018 were selected. These patients were divided into conventional group (n=25) and predictive nursing mode group (n=30) according to nursing modes. Then the systolic pressure (SBP), diastolic blood pressure (DBP), heart rate (HR) and oxyhemoglobin saturation (SpO2) of the two groups of patients were compared 10min before injection of bone cement (T1), at the time of implantation of bone cement (T2), and 10min after injection of bone cement respectively (T3). The occurrence situation of respiratory distress, arrhythmia, dizziness, chest distress, panic, nausea, vomiting and shock for the two groups of patients in the surgery were compared. There was no significant difference for the comparison of the data including age, cardiac function, etc. of the patients between the conventional group and predictive nursing mode group. However, SBP and DBP of the intervention group at the time of T1, T2 and T3 were higher than that of the conventional group (P2 of the intervention group at the time of T1, T2 and T3 were higher than that of the conventional group (P<0.05). As for the comparison of the evaluation indexes of bone cement for the two groups of patients in the surgery, the occurrence situation of hypotension, hyoxemia and RDS for the intervention group were apparently lower than that for the conventional group (P<0.05). As for the comparison of the intraoperative discomfort for the two groups of patients, the occurrence situation of dizziness, chest distress, panic, vomiting, nausea and shock of the intervention group were lower than that of the conventional group. The predictive nursing mode can be used for early intervention so as to relieve and avoid the occurrence of bone cement implantation syndrome in hemiarthroplasty, therefore it is worthy of being promoted for application. Suspected BCIS should be treated with aggressive resuscitation and supportive care. Prevention of BCIS includes identification of high-risk patients, preoperatively optimizing patient risk factors and comorbidities, and good communication with the surgical team.
    VL  - 9
    IS  - 1
    ER  - 

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