Comparative evaluation of surface swab and quantitative full thickness wound biopsy culture in burn patients

Burns ◽  
2007 ◽  
Vol 33 (4) ◽  
pp. 460-463 ◽  
Author(s):  
Sanjeev K. Uppal ◽  
Shobha Ram ◽  
Bharti Kwatra ◽  
Sumit Garg ◽  
R. Gupta
Polymers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 854
Author(s):  
Ahmad Hivechi ◽  
Peiman Brouki Milan ◽  
Khashayar Modabberi ◽  
Moein Amoupour ◽  
Kaveh Ebrahimzadeh ◽  
...  

Loss of skin integrity can lead to serious problems and even death. In this study, for the first time, the effect of exopolysaccharide (EPS) produced by cold-adapted yeast R. mucilaginosa sp. GUMS16 on a full-thickness wound in rats was evaluated. The GUMS16 strain’s EPS was precipitated by adding cold ethanol and then lyophilized. Afterward, the EPS with polycaprolactone (PCL) and gelatin was fabricated into nanofibers with two single-needle and double-needle procedures. The rats’ full-thickness wounds were treated with nanofibers and Hematoxylin and eosin (H&E) and Masson’s Trichrome staining was done for studying the wound healing in rats. Obtained results from SEM, DLS, FTIR, and TGA showed that EPS has a carbohydrate chemical structure with an average diameter of 40 nm. Cell viability assessments showed that the 2% EPS loaded sample exhibits the highest cell activity. Moreover, in vivo implantation of nanofiber webs on the full-thickness wound on rat models displayed a faster healing rate when EPS was loaded into a nanofiber. These results suggest that the produced EPS can be used for skin tissue engineering applications.


Author(s):  
Jianglin Tan ◽  
Junyi Zhou ◽  
Ning Li ◽  
Lili Yuan ◽  
Gaoxing Luo

Abstract The Third Military Medical University (TMMU) formula is widely used in fluid resuscitation in China. However, the actual volume needs usually exceed the prediction provided by the TMMU formula in major burn patients with a high proportion of full-thickness burn wounds. This retrospective study included 149 adult major burn patients (≥40% TBSA) who were admitted to the Burn Department, Southwest Hospital from 2014 to 2020 and received appropriate fluid resuscitation by the TMMU protocol. The actual volume infused in the first 48 hours postburn was compared to the estimation by the TMMU formula. A new fluid volume prediction formula was developed by multivariate linear regression analysis. The mean fluid requirements were 2.35 ml/kg/% TBSA and 1.75 ml/kg/% TBSA in the first and second 24 hours postburn, respectively. The TMMU formula underestimated the fluid requirement, and its prediction accuracy was 54.1% and 25.8% for the first and second 24 hours, respectively. The proportion of full-thickness burn wound was found to be associated with the fluid requirements postburn. A revised multifactorial formula consisting of the burn index, body weight, and inhalation injury was developed. Using the revised formula, the prediction reliability of resuscitation fluid volume improved to 65.3% and 61.1% in the first and second 24 hours, respectively. The TMMU formula showed low accuracy in predicting fluid requirements among major burn patients. A revised formula based on burn index was developed to provide better guidance for initiative fluid resuscitation for major burns by the TMMU protocol.


2021 ◽  
Vol 22 (2) ◽  
pp. 546-556
Author(s):  
Jian Liu ◽  
Ran Huang ◽  
Gang Li ◽  
David L. Kaplan ◽  
Zhaozhu Zheng ◽  
...  

2021 ◽  
Author(s):  
Hao Li ◽  
Mengna Li ◽  
Pei Liu ◽  
Kai-Yang Wang ◽  
Haoyu Fang ◽  
...  

Due to the native skin limitations and the complexity of reconstructive microsurgery, advanced biomaterials are urgently required to promote wound healing for severe skin defects caused by accidents and disasters....


2020 ◽  
Vol 583 ◽  
pp. 119413 ◽  
Author(s):  
Arman Jafari ◽  
Armin Amirsadeghi ◽  
Shadi Hassanajili ◽  
Negar Azarpira

2013 ◽  
Vol 4 ◽  
pp. 204173141351806 ◽  
Author(s):  
Deepa Revi ◽  
Vadavanath Prabhakaran Vineetha ◽  
Jaseer Muhamed ◽  
Akhila Rajan ◽  
Thapasimuthu Vijayamma Anilkumar

2018 ◽  
Vol 191 (1) ◽  
pp. 167-176 ◽  
Author(s):  
Vincent Coger ◽  
Nina Million ◽  
Christoph Rehbock ◽  
Bernd Sures ◽  
Milen Nachev ◽  
...  

Author(s):  
Jian-Xin Yan ◽  
Xuan Liao ◽  
Sheng-Hong Li ◽  
Hong-Wei Liu ◽  
Han-Yu Chang ◽  
...  

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