A time-dependent survival analysis for early prognosis of chronic wounds by monitoring wound alkalinity

被引:8
作者
Le Quynh Hoang [1 ]
Pal, Suvra [2 ]
Liu, Zhaoli [3 ]
Senkowsky, Jon [4 ]
Tang, Liping [1 ]
机构
[1] Univ Texas Arlington, Dept Bioengn, POB 19138, Arlington, TX 76019 USA
[2] Univ Texas Arlington, Dept Math, Arlington, TX 76019 USA
[3] Univ Texas Arlington, Coll Nursing & Hlth Innovat, Arlington, TX 76019 USA
[4] Texas Hlth Phys Grp, Arlington, TX USA
关键词
logistic model; pH; prognosis; survival analysis; wound healing; HEALING RATES; SURFACE PH; GUIDELINES; ULCERS; ACIDIFICATION; TEMPERATURE; PREDICTORS; CHALLENGES; BIOMARKERS; DRESSINGS;
D O I
10.1111/iwj.14001
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
The objective is to determine whether monitoring wound alkalinity between visits may help prognosticate chronic wound healing. The alkalinity of 167 wounds during the first 3 visits was assessed using disposable DETEC (R) pH. Wounds grouped by frequency of alkaline results were compared by % wound size reduction during each visit and 120-day healing probability. The Cox proportional hazards model for time-dependent variables was used to generate non-healing probability curves, where variables are binary (alkaline/non-alkaline, infection/no infection), categorical (wound type), and continuous (wound area); the response is time to complete wound healing; and the event of interest is complete wound healing in 120 days. Results show that wounds with frequent alkaline results have significantly smaller % size reduction per visit. Logistic regression shows an increase in 120-day healing probability with fewer alkaline results. Survival analysis shows that the instantaneous healing rate of non-alkaline or non-alkaline transitioning wounds is 1.785, 2.925, and 5.908 times that of alkaline or alkaline-transitioning wounds for 1, 2, and 3 alkalinity measurements, respectively. Furthermore, the concordance statistic of each survival model shows that goodness of fit increases with more alkalinity measurements. Overall, frequent wound alkalinity assessments may serve as a novel way to prognosticate wound healing outcomes.
引用
收藏
页码:1459 / 1475
页数:17
相关论文
共 63 条
[1]  
Agrawal KS, 2017, INDIAN J PLAST SURG, V50, P273, DOI 10.4103/ijps.IJPS_245_16
[2]   COX REGRESSION-MODEL FOR COUNTING-PROCESSES - A LARGE SAMPLE STUDY [J].
ANDERSEN, PK ;
GILL, RD .
ANNALS OF STATISTICS, 1982, 10 (04) :1100-1120
[3]  
Aydin A., 2009, Emergency Medicine, V41, P18
[4]   Molecular markers in patients with chronic wounds to guide surgical debridement [J].
Brem, Harold ;
Stojadinovic, Olivera ;
Diegelmann, Robert F. ;
Entero, Hyacinth ;
Lee, Brian ;
Pastar, Irena ;
Golinko, Michael ;
Rosenberg, Harvey ;
Tomic-Canic, Marjana .
MOLECULAR MEDICINE, 2007, 13 (1-2) :30-39
[5]   Early healing rates and wound area measurements are reliable predictors of later complete wound closure [J].
Cardinal, Matthew ;
Eisenbud, David E. ;
Phillips, Tania ;
Harding, Keith .
WOUND REPAIR AND REGENERATION, 2008, 16 (01) :19-22
[6]   Healing Chronic Wounds: Current Challenges and Potential Solutions [J].
Darwin E. ;
Tomic-Canic M. .
Current Dermatology Reports, 2018, 7 (4) :296-302
[7]   Evidence supporting wound care end points relevant to clinical practice and patients' lives. Part 2. Literature survey [J].
Driver, Vickie R. ;
Gould, Lisa J. ;
Dotson, Peggy ;
Allen, Latricia L. ;
Carter, Marissa J. ;
Bolton, Laura L. .
WOUND REPAIR AND REGENERATION, 2019, 27 (01) :80-89
[8]  
EDLOW DW, 1971, P SOC EXP BIOL MED, V137, P1328
[9]   Differential Proteomic Analysis Distinguishes Tissue Repair Biomarker Signatures in Wound Exudates Obtained from Normal Healing and Chronic Wounds [J].
Eming, Sabine A. ;
Koch, Manuel ;
Krieger, Andreas ;
Brachvogel, Bent ;
Kreft, Sandra ;
Bruckner-Tuderman, Leena ;
Krieg, Thomas ;
Shannon, John D. ;
Fox, Jay W. .
JOURNAL OF PROTEOME RESEARCH, 2010, 9 (09) :4758-4766
[10]   Challenges in the Treatment of Chronic Wounds [J].
Frykberg, Robert G. ;
Banks, Jaminelli .
ADVANCES IN WOUND CARE, 2015, 4 (09) :560-582