Ulcer area reduction at 2 weeks predicts failure to heal by 24 weeks in the venous leg ulcers of patients living alone

Prognostic models for clinical outcomes in patients with venous leg ulcers: A systematic review

OBJECTIVE

The purpose of this review was to identify prognostic models for clinical application in patients with venous leg ulcers (VLUs).

METHODS

Literature searches were conducted in Embase, Medline, Cochrane, and CINAHL databases from inception to December 22, 2021. Eligible studies reported prognostic models aimed at developing, validating, and adjusting multivariable prognostic models that include multiple prognostic factors combined, and that predicted clinical outcomes. Methodological quality was assessed using the CHARMS checklist and PROBAST short form questionnaire.

RESULTS

Thirteen studies were identified, of which three were validation studies of previously published models, four reported derivation and validation of models, and the remainder reported derivation models only. There was substantial heterogeneity in the model characteristics, including 11 studies focused on wound healing outcomes reporting 91 different predictors. Three studies shared similar predicted outcomes, follow-up timepoint and used a Cox proportional hazards model. However, these models reported different predictor selection methods and different predictors and it was therefore not feasible to summarize performance, such as discriminative ability.

CONCLUSIONS

There are no standout risk prediction models in the literature with promising clinical application for patients with VLUs. Future research should focus on developing and validating high-performing models in wider VLU populations.

Initial Reduction in Ulcer Size As a Prognostic Indicator for Complete Wound Healing: A Systematic Review of Diabetic Foot and Venous Leg Ulcers

Significance: Percent area reduction (PAR) is commonly reported in trials including diabetic foot ulcers (DFUs) and venous leg ulcers (VLUs). It is unclear how well PAR performs as a surrogate marker for complete wound closure. This review aimed to summarize all available evidence evaluating PAR as a predictor of complete DFU and VLU healing. Recent Advances: A review searching the CENTRAL, MEDLINE, EMBASE, and EMCARE databases was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Randomized-controlled trials and observational studies reporting PAR and any measure of its predictive ability were included. Outcomes included performance measures of PAR, timing of PAR, outcome measurement, and specific PAR cutoffs. Critical Issues: Meta-analysis was not possible due to high variability in wound duration at study start (2-48 weeks), PAR timing (2-8 weeks), PAR cutoff (-3% to 90%; determined post hoc in most studies), and outcome assessment (10-24 weeks). Six studies (21,430 DFU patients) report PAR as having acceptable to outstanding discriminatory ability (C-statistic 0.720-0.910). Five studies (29,775 VLU patients) report PAR as having poor to excellent discriminatory ability (C-statistic 0.680-0.830). One study (241 DFU and VLU patients) reports PAR sensitivity and specificity of 58.5% and 90.5%, respectively. All studies were determined to have high risk of bias. Future Directions: Despite promising discriminatory ability, most studies report post hoc analysis of patients in randomized trials, are highly heterogenous in study design, and have high risk of bias. There is scant evidence to support PAR in isolation as a surrogate for complete DFU or VLU healing in routine clinical practice.

Comparison of area measurement methods in the routine assessment of diabetic foot ulcers-A consistency analysis method

BACKGROUND

Ulcer area is a critical parameter in diabetic foot ulcer assessment but existing methods have deficiencies for routine measurement.

AIM

We hypothesized that the Image J-based Computer Analysis method has a high level of agreement with the commonly used Maximum Length and Width and the Transparent Dressing-based Square Grid methods and aimed to test the consistency and verify the feasibility of the Image J-based Computer Analysis method in the routine assessment of ulcers.

METHODS

Outpatient attendees with diabetic foot ulcers at the Department of Endocrinology of Sun Yat-sen Memorial Hospital were enrolled between October 2020 and October 2021. The three methods sequentially assessed the area of 65 included ulcers. Results were analysed using one-way analysis of variance and Bland-Altman plots to perform consistency analysis.

RESULTS

The mean ± standard deviation ulcer area measured using the three methods were 14.79 ± 5.39, 14.35 ± 5.26, and 14.30 ± 5.26 cm² , respectively. The measurement differences among the three groups or between any two were not statistically significant. Bland-Altman plots showed good consistency between the Image J-based Computer Analysis and the other two methods.

CONCLUSION

The Image J-based Computer Analysis method can be interchanged with the other methods to assess ulcer areas. It is freely accessible, accurate and home-operable, thus worth consideration by nurses for routine ulcer area assessment.

Computerised prediction of healing for venous leg ulcers

Early prediction of delayed healing for venous leg ulcers could improve management outcomes by enabling earlier initiation of adjuvant therapies. In this paper, we propose a framework for computerised prediction of healing for venous leg ulcers assessed in home settings using thermal images of the 0 week. Wound data of 56 older participants over 12 weeks were used for the study. Thermal images of the wounds were collected in their homes and labelled as healed or unhealed at the 12th week follow up. Textural information of the thermal images at week 0 was extracted. Thermal images of unhealed wounds had a higher variation of grey tones distribution. We demonstrated that the first three principal components of the textural features from one timepoint can be used as an input to a Bayesian neural network to discriminate between healed and unhealed wounds. Using the optimal Bayesian neural network, the classification results showed 78.57% sensitivity and 60.00% specificity. This non-contact method, incorporating machine learning, can provide a computerised prediction of this delay in the first assessment (week 0) in participants' homes compared to the current method that is able to do this in 3rd week and requires contact digital planimetry.

Healing outcomes and predictors among patients with venous leg ulcers treated with compression therapy

OBJECTIVE

This study aimed to compare the healing outcomes between three types of compression therapy-two-layer bandage (2LB), four-layer bandage (4LB), and compression stockings, and to identify the predictors of venous leg ulcer (VLU) healing.

METHOD

A retrospective review of the medical records of patients diagnosed with VLU between 2011 and 2016 in Singapore was conducted. Univariate and multivariate analyses were done between healed and unhealed VLU patients at three and six months, based on potential factors, ranging from demographic profile to comorbidities and treatment-related variables.

RESULTS

Data from 377 patients' medical records were analysed. The healing rates with the three types of compression system, 4LB, 2LB and compression stockings, were 22.3%, 34.9% and 8.7% respectively at three months; at six months they were 44.2%, 41.9% and 34.8% respectively. Patients on 2LB reported a significantly higher proportion of healed ulcers at three months (p=0.003) but at six months there was no difference in healing rates between the three types of therapy. At three and six months, the duration of compression therapy was found to be an independent predictor of healing (p<0.001).

CONCLUSION

In this study, the 2LB appeared to show the most favourable healing outcome in the short-term but as VLUs persisted beyond the months, the type of compression system used did not make a difference in the healing outcome. Our findings suggested that, as the duration became more prolonged, VLUs became more resistant to healing despite compression therapy. Therefore, it may be necessary for clinicians to consider adjuvant therapies for hard-to-heal ulcers at an earlier stage.

Decreased mobility, lack of social support, haemosiderosis and use of antidepressant medications may predict recurrent venous leg ulcers within 12 months of healing: A prospective longitudinal study

AIM

To identify clinical, medical and psychosocial predictors of venous leg ulcer recurrence within 12 months of healing.

METHODS

A multi-site study was conducted in Australia in community and hospital outpatient settings. Adults with venous leg ulcers were recruited within 4 weeks of healing and data were collected on preventative treatments and health, medical, clinical and psychosocial factors. Follow-up data on recurrences were collected every 3 months until ulcer recurrence, or until 12 months after healing pending which occurred first. Factors associated with time to recurrence were analysed using a Cox proportional hazards regression model.

DESIGN

Secondary data analysis of a multi-site, prospective longitudinal study to validate a risk assessment tool for recurrence.

RESULTS

A sample of 143 participants was recruited (51% male, M^age = 73 years, SD 13.6). Almost half (49.6%) had an ulcer recurrence within 12 months, with a mean time to ulcer recurrence of 37 weeks (SE 1.63, 95% CI 33.7-40.1). Factors measured at the time of healing that were significant independent predictors of recurrence were: prescribed antidepressant medications (p = .035), presence of haemosiderosis (p = .006), decreased mobility (longer sitting times) (p = .007) and lower social support scale scores (p = .002). Participants who wore compression systems providing 20 mmHg or higher for at least 5 days/week were less likely to recur, although not reaching statistical significance (p = .06).

CONCLUSION

Results provide evidence that antidepressant medications, haemosiderosis, decreased mobility and lack of social support are risk factors associated with ulcer recurrence; therefore, these variables are modifiable and could guide early intervention.

Thermal imaging potential and limitations to predict healing of venous leg ulcers

Area analysis of thermal images can detect delayed healing in diabetes foot ulcers, but not venous leg ulcers (VLU) assessed in the home environment. This study proposes using textural analysis of thermal images to predict the healing trajectory of venous leg ulcers assessed in home settings. Participants with VLU were followed over twelve weeks. Digital images, thermal images and planimetry of wound tracings of the ulcers of 60 older participants was recorded in their homes by nurses. Participants were labelled as healed or unhealed based on status of the wound at the 12th week follow up. The weekly change in textural features was computed and the first two principal components were obtained. 60 participants (aged 80.53 ± 11.94 years) with 72 wounds (mean area 21.32 ± 51.28cm2) were included in the study. The first PCA of the change in textural features in week 2 with respect to week 0 were statistically significant for differentiating between healed and unhealed cases. Textural analysis of thermal images is an effective method to predict in week 2 which venous leg ulcers will not heal by week 12 among older people whose wounds are being managed in their homes.

An observational study protocol to explore loneliness and systemic inflammation in an older adult population with chronic venous leg ulcers

BACKGROUND

Chronic venous leg ulcers (CVLUs) are the most common type of lower extremity wound. Even when treated with evidenced-based care, 30-50% of CVLUs fail to heal. A specific gap exists about the association between psychosocial stressors, particularly loneliness, and biomarkers of inflammation and immunity. Loneliness is highly prevalent in persons with CVLUs, has damaging effects on health, and contributes to the development of multiple chronic conditions, promotes aberrant inflammation, and diminishes healing. However, the confluence of loneliness, inflammation and the wound healing trajectory has not been elucidated; specifically whether loneliness substantially mediates systemic inflammation and alters healing over time. This study seeks to address whether there is a specific biomarker profile associated with loneliness, CVLUs, and wound healing that is different from non-lonely persons with CVLUs.

METHODS

An observational prospective study will identify, characterize and explore associations among psychosocial stressors, symptoms and biomarkers between 2 CVLU groups, with loneliness+ (n = 28) and without loneliness- (n = 28) during 4 weeks of wound treatment, measured at 3 time points. We will examine psychosocial stressors and symptoms using psychometrically-sound measures include PROMIS® and other questionnaires for loneliness, social isolation, depression, anxiety, stigma, sleep, fatigue, pain, quality of life, cognition, and function. Demographics data including health history, sex, age, wound type and size, wound age, and treatment will be recorded from the electronic health record. We will characterize a biomarker panel of inflammatory genes including chemotaxic and growth factors, vascular damage, and immune regulators that express in response to loneliness to loneliness and CVLUs using well-established RNA sequence and PCR methods for whole blood samples. In an exploratory aim we will explore whether age and sex/psychological stressors and symptoms indicate potential moderation/mediation of the effect of loneliness on the biomarker profile over the study period.

DISCUSSION

This study will provide insight into the influence of psychosocial stressors, symptoms, and biological mechanisms on wound healing, towards advancing a future healing prediction model and interventions to address these stressors and symptoms experienced by persons with CVLUs.

Measurement of wound area for early analysis of the scar predictive factor

Objective:

to evaluate the use of the 2D-FlexRuler as a facilitating tool for the early calculation of the predictive scar factor of chronic wounds.

Method:

a descriptive study with a quantitative, experimental, longitudinal and prospective approach. The sample consisted of 22 outpatients. 32 chronic wounds were analyzed. The wound edges were identified and drawn on the 2D-FlexRuler. The calculations of the areas of chronic wounds were obtained by manual, traditional methods, by software and Matlab algorithm. These areas were compared with each other to determine the efficiency of the proposed ruler in relation to traditional methods.

Results:

the calculation of the wound area by the traditional method and Kundin’s coefficient show average errors greater than 40%. The manual estimation of the area with the 2D-FlexRuler is more accurate in relation to traditional measurement methods, which were considered quantitatively disqualified. When compared with the reference method, for example, the Klonk software, the data obtained by 2D-FlexRuler resulted in an error of less than 1.0%.

Conclusion:

the 2D-FlexRuler is a reliable metric platform for obtaining the anatomical limits of chronic wounds. It facilitated the calculation of the wound area under monitoring and allowed to obtain the scar predictive factor of chronic wounds with precocity in two weeks.

Psychosocial factors of patients with venous leg ulcers and their association with healing

Objectives: To identify psychosocial factors present in patients with venous leg ulcers and the association that these factors have in the healing of venous leg ulcers. Methods: An integrative review of the quantitative studies in MEDLINE, Scielo and Cochrane Library databases, between 2008 and 2019, using the keywords, psychosocial factors, venous ulcer, wound healing, anxiety and depression in English, Spanish and Portuguese. Results: sixteen studies were included. The psychosocial factors present in patients with venous ulcers were depression, anxiety, feelings of helplessness, subjective well-being, self-esteem, loneliness and spirituality. Stress, a negative perception of venous ulcer, living alone and severe experience of symptoms such as pain and depression have statistically significant associations with longer periods of healing. Conclusions: Depression is one of the most frequently measured factors and present in this population. The available evidence on the association of psychosocial factors with the healing of venous ulcers is low.

Factores psicosociales en los pacientes con úlceras venosas y su asociación con la cicatrización

Objetivo: Identificar los factores psicosociales presentes en pacientes con úlceras venosas y la evidencia disponible sobre la asociación que estos factores tienen con la curación de este tipo de heridas. Métodos: Revisión integradora de la literatura de estudios cuantitativos en las bases de datos MEDLINE, Scielo y Cochrane Library entre los años 2008 y 2019, utilizando las palabras clave, factores psicosociales, úlcera venosa, cicatrización de heridas ansiedad y depresión en idioma inglés, español y portugués. Resultados: Dieciséis estudios fueron incluidos. Los factores psicosociales presentes en los pacientes con úlceras venosas fueron depresión, ansiedad, sentimientos de impotencia, bienestar subjetivo, autoestima, soledad y espiritualidad. El estrés, una percepción negativa de la úlcera venosa, vivir solo y la experiencia severa de síntomas como dolor y depresión tienen asociaciones estadísticamente significativas con periodos más prolongados de curación. Conclusión: La depresión es uno de los factores psicológicos medido y presente con mayor frecuencia en esta población. La evidencia disponible frente a la asociación de los factores psicosociales con la curación de úlceras venosas es escasa.

The Wound Healing Index for Predicting Venous Leg Ulcer Outcome

Objective: To develop a venous leg ulcer (VLU) risk stratification system for use in research and clinical practice. Approach: U.S. Wound Registry data were examined retrospectively and assigned an outcome. Bivariate analysis identified significant variables (p < 0.05) that were used to create a multivariable logistic regression model. Ulcers with data for wound area at the first visit before debridement were included in regression analysis, which was based on a 90% development sample. The model was validated on a hold-out 10% data sample. Results: The original dataset included 26,713 VLUs, of which 11,773 ulcers were eligible for preliminary analysis and 10,942 ulcers were eligible for regression analysis. The 90% development model included 9,898 ulcers, of which 7,498 healed (75.8%). The 10% validation sample included 1,044 ulcers, of which 809 healed (77.5%). The following variables significantly predicted healing: number of concurrent wounds of any etiology, wound size, wound age (in days), evidence of bioburden/infection, being nonambulatory, and hospitalization for any reason. Innovation: The VLU Wound Healing Index (WHI) is a comprehensive, validated risk stratification model for predicting VLU healing that incorporates patient- and wound-specific variables. Conclusions: The WHI can identify which VLUs most likely require adjunctive therapies to heal, prioritize referral to venous experts, risk-stratify ulcers to create more generalizable clinical trials and understand the impact of clinical interventions. The Centers for Medicare and Medicaid Services accepts this method for reporting VLU outcome under the Quality Payment Program.

Potential prognostic factors for delayed healing of common, non-traumatic skin ulcers: A scoping review

Healing of non-traumatic skin ulcers is often suboptimal. Prognostic tools that identify people at high risk of delayed healing within the context of routine ulcer assessments may improve this, but robust evidence on which factors to include is lacking. Therefore, we scoped the literature to identify which potentially prognostic factors may warrant future systematic reviews and meta-analyses. We conducted electronic searches in MEDLINE and Embase to identify studies in English published between 1997 and 2017 that tested the association between healing of the three most common non-traumatic skin ulcers encountered by health care professionals (venous leg, diabetic foot, and pressure ulcers) and patient characteristics, ulcer characteristics, and results from clinical investigations. We included 42 studies that investigated factors which may be associated with the healing of venous leg ulcers (n = 17), diabetic foot ulcers (n = 15), and pressure ulcers (n = 10). Across ulcer types, ulcer characteristics were most commonly reported as potential prognostic factors for healing (n = 37), including the size of the ulcer area (n = 29) and ulcer duration at first assessment (n = 16). A total of 35 studies investigated the prognostic value of patient characteristics (n = 35), including age (n = 31), gender (n = 30), diabetes (n = 22), smoking status (n = 15), and history of deep vein thrombosis (DVT) (n = 13). Of these studies, 23 reported results from clinical investigations as potential prognostic factors, with the majority regarding vessel quality. Age, gender, diabetes, smoking status, history of DVT, ulcer area, and ulcer duration at time of first assessment warrant a systematic review and meta-analysis to quantify their prognostic value for delayed ulcer healing.

Predicting the likelihood of venous leg ulcer recurrence: The diagnostic accuracy of a newly developed risk assessment tool

The aim of this study was to validate a newly developed tool for predicting the risk of recurrence within 12 months of a venous leg ulcer healing. Performance of the tool to predict recurrence within a 12-month period was assessed using Area Under the Receiver Operating Characteristic Curve (AUC) analysis. Multi-site retrospective and prospective longitudinal studies were undertaken to validate a risk assessment tool for the recurrence of venous leg ulcers within 12 months. In the retrospective study (n = 250), 55% of venous leg ulcers recurred within 12 months, and the risk assessment total score had excellent discrimination and goodness of fit with an AUC of 0.83 (95% CI, 0.76-0.90, P < .001). The prospective study (n = 143) observed that 50.4% (n = 63) of venous leg ulcers recurred within 12 months of healing. Participants were classified using the risk assessment tool as being at low risk (28%), moderate risk (59%), and high risk (13%); the proportion of wounds recurring at 12 months was 15%, 61%, and 67% for each group, respectively. Validation results indicated good discrimination and goodness of fit, with an AUC of 0.73 (95% CI, 0.64-0.82, P < .001). Validation of this risk assessment tool for the recurrence of venous leg ulcers provides clinicians with a resource to identify high-risk patients and to guide decisions on adjunctive, tailored interventions to address the specific risk factors to decrease the risk of recurrence.

Predicting delayed healing: The diagnostic accuracy of a venous leg ulcer risk assessment tool

The aim of this study was to validate a newly developed tool that can predict the risk of failure to heal of a venous leg ulcer in 24 weeks. The risk assessment tool was validated, and performance of the tool was assessed using Area Under the Receiver Operating Characteristic Curve (AUC) analysis. Retrospective and prospective validation was conducted through multi-site, longitudinal studies. In the retrospective study (n = 318), 30% of ulcers did not heal within 24 weeks, with the tool demonstrating an AUC of 0.80 (95% CI, 0.68-0.93, P < .001) for the total score. In the prospective study across 10 clinical sites (n = 225), 31% (n = 68) of ulcers did not heal within 24 weeks. Participants were classified with the RAT at enrolment as being at low risk (27%), moderate risk (53%) or high risk (20%) of delayed healing; the proportion of wounds unhealed at 24 weeks was 6%, 29% and 59%, respectively. Validation results of the total score indicated good discrimination and goodness of fit with an AUC of 0.78 (95% CI, 0.71-0.85, P < .001). Validation of this risk assessment tool offers assurance that realistic outcomes can be predicted for patients, and scores can guide early decisions on interventions to address specific risk factors for failing to heal, thus promoting timely healing.

Optimal Compression Therapy and Wound Care for Venous Ulcers

Venous leg ulcers remain a major public health issue with significant economic impact. Two main components of the management of patients with venous leg ulcers are compression therapy and wound care. This article addresses principles and specific aspects of compression therapy and focal wound care for patients with venous leg ulcers.