Pressure ulcers are injuries caused by external conditions such as pressure, friction, shear, and humidity resulting from staying in the same position for a long time in bedridden patients. It is a serious problem worldwide when assessed in terms of hospital capacity, nursing staff employment and treatment costs. In this study, we developed a novel mathematical model based on one of our previous models to prevent pressure ulcers or delay injuries. The proposed model uses a human thermal model that includes skin temperature, hypothalamus temperature, regional perspiration coefficient, and unconsciously loss of water amount. Moreover, in our model, we defined a variable wetness parameter in addition to the parameters, pressure, temperature, and humidity. The proposed model is mathematically defined in detail and tested for a wide range of parameters to show the model’s effectiveness in determining the pressure ulcer formation risk. The model is also compared with a model from the literature that based on only the general parameters, pressure, temperature, and humidity. The obtained results showed that the model determines the risk of the occurrence of the pressure ulcer more precisely than the compared one.
DemarréLVan LanckerAVan HeckeA, et al. The cost of prevention and treatment of pressure ulcers: a systematic review. Int J Nurs Stud2015; 52(11): 1754–1774.
3.
ChouRDanaTBougatsosC, et al. Pressure ulcer risk assessment and prevention: a systematic comparative effectiveness review. Ann Intern Med2013; 159(1): 28–38.
4.
HonakerJBrockoppDMoeK. Suspected deep tissue injury profile: a pilot study. Adv Skin Wound Care2014; 27(3): 133–140; quiz 141.
5.
Ögülmüş DemircanF. Basınçülserlerinin önlenmesi için yeni bir matematiksel model geliştirilmesi ve uygulanması. PhD Thesis, Duzce University, Düzce, Turkey, 2018.
6.
LoweryMT. A pressure sore risk calculator for intensive care patients: ‘the Sunderland experience’. Intensive Crit Care Nurs1995; 11(6): 344–353.
7.
MichelJMWilleboisSRibinikP, et al. As of 2012, what are the key predictive risk factors for pressure ulcers? Developing French guidelines for clinical practice. Ann Phys Rehabil Med2012; 55(7): 454–465.
8.
ColemanSGoreckiCNelsonEA, et al. Patient risk factors for pressure ulcer development: systematic review. Int J Nurs Stud2013; 50(7): 974–1003.
9.
MarchioneFGAraújoLMAraújoLV. Approaches that use software to support the prevention of pressure ulcer: a systematic review. Internet J Med Inform2015; 84(10): 725–736.
10.
OstadabbasSYousefiRFaezipourM, et al. Pressure ulcer prevention: An efficient turning schedule for bed-bound patients. In: 2011 IEEE/NIH life science systems and applications workshop (LiSSA), Bethesda, MD, 7–8 April 2011, pp.159–162. New York, NY: IEEE.
11.
OstadabbasSYousefiRNouraniM, et al. A posture scheduling algorithm using constrained shortest path to prevent pressure ulcers. In: 2011 IEEE international conference on bioinformatics and biomedicine, Atlanta, GA, 12–15 November 2011, pp.327–332. New York, NY: IEEE.
12.
OstadabbasSYousefiRNouraniM, et al. A resource-efficient planning for pressure ulcer prevention. IEEE Trans Inf Technol Biomed2012; 16(6): 1265–1273.
13.
FarshbafMOstadabbasSYousefiR, et al. Pressure ulcer monitoring and intervention: A software platform. In: 2011 IEEE international conference on bioinformatics and biomedicine workshops (BIBMW), Atlanta, GA, 12–15 November 2011, pp.897–898. New York, NY: IEEE.
14.
YousefiROstadabbasSFaezipourM, et al. A smart bed platform for monitoring & ulcer prevention. In: 2011 4th international conference on biomedical engineering and informatics (BMEI), Shanghai, China, 15–17 October 2011, vol. 3, pp.1362–1366. New York, NY: IEEE.
15.
Vista Medical Ltd. Pressure Mapping Experts. https://www.boditrak.com (2018accessed 10 August 2021).
16.
Wellsense Inc. mission: zero pressure injuries. https://wellsensevu.com (2021accessed 10 August 2021).
YipMDa HeDWinokurE, et al. A flexible pressure monitoring system for pressure ulcer prevention. In: 2009 Annual international conference of the IEEE engineering in medicine and biology society, Minneapolis, MN, 2–6 September 2009, pp.1212–1215. New York, NY: IEEE.
21.
PereiraTSilvaPCarvalhoH, et al. Textile moisture sensor matrix for monitoring of disabled and bed-rest patients. In: 2011 IEEE EUROCON-international conference on computer as a tool, Lisbon, Portugal, 27–29 April 2011, pp.1–4. New York, NY: IEEE.
22.
ElfehriJBoussuFKoncarV, et al. Novel approach of ulcer prevention based on pressure distribution control algorithm. In: 2011 IEEE international conference on mechatronics and automation, Beijing, China, 7–10 August 2011, pp.265–270. New York, NY: IEEE.
23.
ChungPRoweAEtemadiM, et al. Fabric-based pressure sensor array for decubitus ulcer monitoring. In: 2013 35th annual international conference of the IEEE engineering in medicine and biology society (EMBC), Osaka, Japan, 3–7 July 2013, pp.6506–6509. New York, NY: IEEE.
24.
WangTYChenSLHuangHC, et al. The development of an intelligent monitoring and caution system for pressure ulcer prevention. In: 2011 international conference on machine learning and cybernetics, Guilin, China, 10–13 July 2011, vol. 2, pp.566–571. New York, NY: IEEE.
25.
FardFDMoghimiSLotfiR. Pressure ulcer risk assessment by monitoring interface pressure and temperature. In: 2013 21st Iranian conference on electrical engineering (ICEE), Mashhad, Iran, 14–16 May 2013, pp.1–5. New York, NY: IEEE.
26.
MeffreRGehinCDittmarA. MAPI: Active interface pressure sensor integrated into a seat. In: 2007 29th annual international conference of the IEEE engineering in medicine and biology society, Lyon, France, 22–26 August 2007, pp.1358–1361. New York, NY: IEEE.
27.
AbdellatifABouaudJLafuente-LafuenteC, et al. Computerized decision support systems for nursing homes: a scoping review. J Am Med Dir Assoc2021; 22(5): 984–994.
28.
ShafiIAnsariSDinS, et al. Artificial neural networks as clinical decision support systems. Concurr Comput2021; e6342.
29.
Casal-GuisandeMComesaña-CamposACerqueiro-PequeñoJ, et al. Design and development of a methodology based on expert systems, applied to the treatment of pressure ulcers. Diagnostics2020; 10(9): 614.
30.
SuttonRTPincockDBaumgartDC, et al. An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digit Med2020; 3(1): 17–10.
31.
GefenA. How do microclimate factors affect the risk for superficial pressure ulcers: a mathematical modeling study. J Tissue Viability2011; 20(3): 81–88.
32.
BeeckmanD. A decade of research on incontinence-associated dermatitis (IAD): evidence, knowledge gaps and next steps. J Tissue Viability2017; 26(1): 47–56.
33.
BeeckmanDSchoonhovenLVerhaegheS, et al. Prevention and treatment of incontinence-associated dermatitis: literature review.. J Adv Nurs2009; 65(6): 1141–1154.
34.
Ögülmüş DemircanFYücedağİTozM, et al. BasınçÜlserinin Önlenmesinde Kullanılmak Amacıyla Geliştirilen Bir Matematiksel Model. İleri Teknoloji Bilimleri Dergisi2016; 5(1): 120–128.
35.
Ögülmüş DemircanFTozMYücedağİ. Analysis of pressure ulcer formation risk of in different regions of human body. Konuralp J Math2018; 6(2): 233–239.
36.
HirataANomuraTLaaksoI. Computational estimation of body temperature and sweating in the aged during passive heat exposure. Int J Therm Sci2015; 89: 154–163.
37.
StolwijkJAHardyJD. Control of body temperature. Compr Physiol2010; 45–68.
NishiYGaggeAP. Moisture permeation of clothing: a factor governing thermal equilibrium and comfort. Mem Fac Eng Hokkaido Univ1973; 13(Suppl2): 5–13.
40.
GaithMSedaghatAAssadMEH. Heat losses from human body in weather condition of Amman city. In: 2015 international conference on industrial engineering and operations management (IEOM), Dubai, United Arab Emirates, 3–5 March 2015, pp.1–9. New York, NY: IEEE.
41.
CandasVLibertJPVogtJJ. Human skin wettedness and evaporative efficiency of sweating. J Appl Physiol1979; 46(3): 522–528.
42.
HolopainenR. A human thermal model for improved thermal comfort. VTT Technical Research Centre of Finland, Espoo, 2012.
43.
SwainI. The measurement of interface pressure. In: BaderDLBoutenCColinD (eds) Pressure ulcer research: current and future perspectives. Springer Science & Business Media, Heidelberg, 2005, pp.51–72.
44.
Linder-GanzEEngelbergSScheinowitzM, et al. Pressure-time cell death threshold for albino rat skeletal muscles as related to pressure sore biomechanics.. J Biomech2006; 39(14): 2725–2732.
