The heterogeneous wound microbiome varies with wound care pain, dressing type, and inflammatory gene expression.

Wound dressing changes are essential procedures for wound management. However, ~50% of patients experience severe pain during these procedures despite the availability of analgesic medications, indicating a need for novel therapeutics that address underlying causes of pain. Along with other clinical factors, wound pathogens and inflammatory immune responses have previously been implicated in wound pain. To test whether these factors could contribute to severe pain during wound dressing changes, we conducted an exploratory, cross-sectional analysis of patient-reported pain, inflammatory immune responses, and wound microbiome composition in 445 wounds at the time of a study dressing change. We profiled the bacterial composition of 406 wounds using 16S ribosomal RNA amplicon sequencing and quantified gene expression of 13 inflammatory markers in wound fluid using quantitative real-time polymerase chain reaction (qPCR). Neither inflammatory gene expression nor clinically observed inflammation were associated with severe pain, but Corynebacterium and Streptococcus were of lower relative abundance in wounds of patients reporting severe pain than those reporting little or no pain. Wound microbiome composition differed by wound location, and correlated with six of the inflammatory markers, including complement receptor C5AR1, pro-inflammatory cytokine interleukin (IL)1ß, chemokine IL-8, matrix metalloproteinase MMP2, and the antimicrobial peptide encoding cathelicidin antimicrobial peptide. Interestingly, we found a relationship between the wound microbiome and vacuum-assisted wound closure (VAC). These findings identify preliminary, associative relationships between wound microbiota and host factors which motivate future investigation into the directional relationships between wound care pain, wound closure technologies, and the wound microbiome.

An integrated model of multimorbidity and symptom science.

BACKGROUND: Prevalence and complexity of persons with multiple chronic conditions (MCC), also known as multimorbidity, are shifting clinical practice from a single disease focus to one considering MCC and symptoms. Although symptoms are intricately bound to concepts inherent in MCC science, symptoms are largely ignored in multimorbidity research and literature. PURPOSE: Introduce an Integrated Model of Multimorbidity and Symptom Science. METHODS: Critical integrative review and synthesis process. FINDINGS: The model comprises three primary domains: 1. Contributing/ Risk Factors; 2. Symptom/Disease/Treatment Interactions; and 3. Patient Outcomes. DISCUSSION: The model highlights the multilevel nature of contributing factors and the recursive interactions among multiple etiologies, conditions, symptoms, therapies, and outcomes.

Human macrophage response to microbial supernatants from diabetic foot ulcers.

Diabetic foot ulcers (DFUs) are a major clinical problem exacerbated by prolonged bacterial infection. Macrophages, the primary innate immune cells, are multifunctional cells that regulate diverse processes throughout multiple phases of wound healing. To better understand the influence of microbial species on macrophage behavior, we cultured primary human monocyte-derived macrophages from four donors for 24 hours in media conditioned by bacteria and fungi (Pseudomonas aeruginosa, Corynebacterium amycolatum, Corynebacterium striatum, Staphylococcus aureus, Staphylococcus simulans, and Candida albicans) isolated from the DFUs of six patients. The effects of these microbe-derived signals on macrophage behavior were assessed by measuring the gene expression of a panel of 25 genes related to macrophage phenotype, angiogenesis, bacterial recognition, and cell survival, as well as secretion of two inflammatory cytokines using NanoString multiplex analysis. Principal component analysis showed that macrophage gene expression and protein secretion were affected by both microbial species as well as human donor. S. simulans and C. albicans caused up-regulation of genes associated with a proinflammatory (M1) phenotype, and P. aeruginosa caused an increase in the secretion of the proinflammatory cytokine and M1 marker tumor necrosis factor-alpha (TNFα). Together, these results suggest that macrophages respond to secreted factors from microbes by up-regulating inflammatory markers, and that the effects are strongly dependent on the monocyte donor. Ultimately, increased understanding of macrophage-microbe interactions will lead to the development of more targeted therapies for DFU healing.

Severe pain during wound care procedures: A cross-sectional study protocol.

AIM: The aim of this study is to: (a) develop and evaluate a model to predict severe pain during wound care procedures (WCPs) so that high-risk patients can be targeted for specialized dressings and preventive pain control; and (b) identify biological factors associated with severe pain during WCPs so that novel pain control strategies can be developed. BACKGROUND: Wound care procedures such as dressing changes can cause moderate to severe pain in 74% of patients, with nearly half (36%) of all patients experiencing severe pain (rated as 8-10 on a 10-point numeric rating scale) during dressing change. Additionally, clinicians have little direction with current guidelines regarding pain control during WCPs including the selection of the appropriate advanced wound dressings and the appropriate use of analgesics. DESIGN: This is a cross-sectional study. METHODS: The National Institute of Nursing Research approved and funded the study June of 2015 and the appropriate Institutional Review Board approved all study protocols prior to funding. Study enrolment is underway at the University of Iowa Hospitals and Clinics with a target of 525 participants. Potential participants must be adults (21+ years) and have a nonburn, nondiabetic foot, full-thickness wound. The research team performs a one-time study dressing change on enrolled participants and collects all study data. DISCUSSION: This study will allow the development of a tool for clinicians to use to predict severe pain during WCPs and identify biological factors significantly associated with severe pain during WCPs.

Factors associated with high pain intensity during wound care procedures: A model.

The most common wound care procedures (WPCs) performed on open wounds are dressing changes and wound cleansing. Dressing changes cause moderate to severe pain in 74% of patients, nearly half (36%) of whom experience severe pain (rated as 8-10 on a 10-point numeric rating scale). The purpose of this paper is to propose a model of clinically accessible factors that can be tested in order to develop a clinical tool to identify which patients are likely to experience high intensity pain during nonoperative WCPs, such as dressing changes. Although multiple factors are known to be associated with pain, the factors selected for this model were limited to those that (1) are supported based on evidence and/or pain mechanisms and (2) are readily accessible to clinicians/practitioners and can be tested as a prediction tool to be used prior to WCPs. This model may be helpful to identify those likely to experience high intensity pain during WCPs. In this way, use of aggressive pain management strategies, including specialty dressings, pharmacologic analgesics, and/or non-pharmacological strategies, such as high intensity transcutaneous electrical stimulation.

Measuring Weight-Bearing Activities in Patients With Previous Diabetic Foot Ulcers.

PURPOSE: The purpose of this article was to evaluate the accuracy of 2 physical activity monitors, monitors 1 and 2, for measuring weight-bearing activity in persons with prior diabetic foot ulcers. DESIGN: Cross-sectional design. INSTRUMENTS: Two recently developed monitors were used to differentiate anatomical postures such as lying, sitting, and standing upright. One monitor was designed to distinguish between duration of standing and walking and the other combines duration of standing and walking into 1 measure. SUBJECTS AND SETTING: Thirty-one subjects were recruited; all participants had experienced a diabetic foot ulcer and completed participation in a previous cohort study. The study setting was 2 medical centers in the Midwestern United States. METHODS: Subjects simultaneously wore the 2 monitors while performing 14 weight-bearing (ie, walking and standing) and non-weight-bearing (ie, sitting and lying) activities. The duration spent on each activity and the total number of steps taken for each walking activity were directly observed and recorded with each monitor. The accuracy of monitors 1 and 2 was assessed via direct observation as a reference standard. Paired-samples t tests were used to examine the difference in accuracy between the 2 monitors. RESULTS: For measuring duration of activity, the accuracy of monitor 1 ranged from 73% to 100% for walking, 50% for standing, and from 42% to 100% for sitting/lying. In contrast, the accuracy of monitor 2 ranged from 98% to 100% for walking, 100% for standing, and from 97% to 100% for sitting/lying. The accuracy of monitor 1 for counting the number of steps ranged from 43% to 81%, while the accuracy of monitor 2 ranged from 91% to 99%. Monitor 2 was significantly more accurate than monitor 1 in measuring duration of standing still, slow walking, pedaling while sitting, lying on the left, and lying on the right, as well as measuring steps across different kinds of walking activities. Differences in monitor accuracy between subjects with and without foot pain and between subjects with and without foot amputation were not statistically significant. CONCLUSION: These findings suggest that monitor 2 is a more accurate measure of weight-bearing activities than monitor 1 among patients with previous diabetic foot ulcers. Additionally, the 2 monitors differ in terms of function; monitor 2 distinguishes standing from walking, whereas monitor 1 combines standing and walking into 1 measure. We recommend monitor 2 to examine the impact of weight-bearing activity on foot ulceration in patients with diabetic neuropathy.

Superantigens of Staphylococcus aureus from patients with diabetic foot ulcers.

BACKGROUND: Diabetic foot ulcer (DFU) infections are challenging. Staphylococcus aureus is the most commonly isolated pathogen in DFUs. Superantigens (SAgs) are causative in many S. aureus infections. We hypothesized both that DFU S. aureus will produce large SAg numbers, consistent with skin infections, and that certain SAgs will be overrepresented. We assessed the SAg and α-toxin profile of isolates from patients with DFU, compared with profiles of isolates from other sources. MATERIALS: Twenty-five S. aureus isolates from patients with DFU were characterized. Polymerase chain reaction was used to detect genes for methicillin-resistance and SAgs. Some SAgs and the α-toxin were quantified. We compared the SAg profile of DFU isolates with SAg profiles of S. aureus isolates from skin lesions of patients with atopic dermatitis and from vaginal mucosa of healthy individuals. RESULTS: Most DFU isolates were methicillin susceptible (64%), with USA100 the most common clonal group. The SAg gene profile of DFU isolates most closely resembled that of isolates from patients with atopic dermatitis, with the highest number of different SAg genes per isolate and a high prevalence of staphylococcal enterotoxin D and the enterotoxin gene cluster. DFU isolates also had a high prevalence of staphylococcal enterotoxin-like X. CONCLUSIONS: Comparison of the SAg profile of DFU isolates to SAg profiles of skin lesion isolates and vaginal mucosa isolates revealed that the SAg profile of DFU isolates was more similar to that of skin lesion isolates. SAgs offer selective advantages in facilitating DFU infections and suggest that therapies to neutralize or reduce SAg production by S. aureus may be beneficial in management of patients with DFU.

Alcaligenes faecalis corrects aberrant matrix metalloproteinase expression to promote reepithelialization of diabetic wounds.

Chronic wounds are a common and costly complication of diabetes, where multifactorial defects contribute to dysregulated skin repair, inflammation, tissue damage, and infection. We previously showed that aspects of the diabetic foot ulcer microbiota were correlated with poor healing outcomes, but many microbial species recovered remain uninvestigated with respect to wound healing. Here, we focused on Alcaligenes faecalis, a Gram-negative bacterium that is frequently recovered from chronic wounds but rarely causes infection. Treatment of diabetic wounds with A. faecalis accelerated healing during early stages. We investigated the underlying mechanisms and found that A. faecalis treatment promotes reepithelialization of diabetic keratinocytes, a process that is necessary for healing but deficient in chronic wounds. Overexpression of matrix metalloproteinases in diabetes contributes to failed epithelialization, and we found that A. faecalis treatment balances this overexpression to allow proper healing. This work uncovers a mechanism of bacterial-driven wound repair and provides a foundation for the development of microbiota-based wound interventions.

Wound microbiota-mediated correction of matrix metalloproteinase expression promotes re-epithelialization of diabetic wounds.

Chronic wounds are a common and costly complication of diabetes, where multifactorial defects contribute to dysregulated skin repair, inflammation, tissue damage, and infection. We previously showed that aspects of the diabetic foot ulcer microbiota were correlated with poor healing outcomes, but many microbial species recovered remain uninvestigated with respect to wound healing. Here we focused on Alcaligenes faecalis , a Gram-negative bacterium that is frequently recovered from chronic wounds but rarely causes infection. Treatment of diabetic wounds with A. faecalis accelerated healing during early stages. We investigated the underlying mechanisms and found that A. faecalis treatment promotes re-epithelialization of diabetic keratinocytes, a process which is necessary for healing but deficient in chronic wounds. Overexpression of matrix metalloproteinases in diabetes contributes to failed epithelialization, and we found that A. faecalis treatment balances this overexpression to allow proper healing. This work uncovers a mechanism of bacterial-driven wound repair and provides a foundation for the development of microbiota-based wound interventions.

Variable staphyloxanthin production by Staphylococcus aureus drives strain-dependent effects on diabetic wound-healing outcomes.

Strain-level variation in Staphylococcus aureus is a factor that contributes to disease burden and clinical outcomes in skin disorders and chronic wounds. However, the microbial mechanisms that drive these variable host responses are poorly understood. To identify mechanisms underlying strain-specific outcomes, we perform high-throughput phenotyping screens on S. aureus isolates cultured from diabetic foot ulcers. Isolates from non-healing wounds produce more staphyloxanthin, a cell membrane pigment. In murine diabetic wounds, staphyloxanthin-producing isolates delay wound closure significantly compared with staphyloxanthin-deficient isolates. Staphyloxanthin promotes resistance to oxidative stress and enhances bacterial survival in neutrophils. Comparative genomic and transcriptomic analysis of genetically similar clinical isolates with disparate staphyloxanthin phenotypes reveals a mutation in the sigma B operon, resulting in marked differences in stress response gene expression. Our work illustrates a framework to identify traits that underlie strain-level variation in disease burden and suggests more precise targets for therapeutic intervention in S. aureus-positive wounds.

Volume Measures Using a Digital Image Analysis System are Reliable in Diabetic Foot Ulcers.

UNLABELLED: Reliable measures of wound size are critical to wound healing research and clinical management. Measurement of full-thickness wounds is increasingly being done using digital images and photogrammetric software, such as VeVMD (Vista Medical, Winnipeg, Manitoba, Canada), to estimate wound volume. The reliability of VeVMD in determining wound volume is unknown. The present study sought to examine the reliability of wound volume measurements obtained using VeVMD. METHODS: A cross-sectional study of adults with full-thickness, neuropathic, diabetic foot ulcers (DFU) at 2 sites in the US Midwest was undertaken. Ulcer images were obtained, stored, and used to obtain measures of wound volume using VeVMD. Four raters independently completed wound measures, and then repeated these measures 2 weeks after the first measurement. Raters were blinded to the comparison measurements. Inter- and intra-rater correlations were computed. RESULTS: Thirty-three enrolled subjects with 33 DFU were included in the analyses. Inter-rater reliability was 0.745 and intra-rater reliability was 0.868. Four ulcers showed noticeably less agreement between raters; these ulcers had small, but deeply recessed areas, resulting in differences in defining the wound margin. When these 4 ulcers were removed, inter- and intra-rater reliabilities were excellent (0.970 and 0.981, respectively). CONCLUSION: Reliabilities of volume measurements obtained with VeVMD were acceptable in DFU, even when raters had different definitions of the ulcer margin or changed their definition from time to time. However, conclusions cannot be drawn regarding the performance of VeVMD in other wound types.

A clinical tool to predict severe pain during wound dressing changes.

ABSTRACT: Dressing changes cause severe pain (ie, 8-10 on a 10-point scale) for approximately one-third (36%) of patients with open skin wounds. No tool exists that allows nurses to predict which patients are likely to experience severe pain during dressing changes. The aim of this study was to develop a clinical tool to predict severe pain during dressing changes using clinically accessible wound and pain predictors and to evaluate the diagnostic validity of this model. Using a cross-sectional design, a one-time study dressing change was conducted by the same wound care nurse on 445 subjects while concurrently measuring patient and wound predictors and pain intensity during the dressing change. Three predictors came out of the study as most useful for a clinical prediction tool: type of dressing, resting wound pain, and expected pain. Algorithms based on these predictors are presented, which can be applied in other settings to predict patients likely to experience severe pain during a dressing change. This is the first study to systematically examine a comprehensive set of wound and patient predictors for their individual and collective associations with pain during dressing changes using precisely defined and rigorously measured study variables. The ability to predict which patients are likely to have severe pain during dressing changes is critically needed so that they can be targeted for preventive pain control strategies.

A prospective study of the PUSH tool in diabetic foot ulcers.

PURPOSE: The purpose of this study was to examine the predictive validity of Pressure Ulcer Scale for Healing (PUSH; v. 3.0) in monitoring healing of neuropathic foot ulcers in patients with diabetes mellitus. DESIGN: This is a 13-week descriptive, prospective study describing the trajectory of change over time and the time-to-heal associated with PUSH scores. The study monitored a convenience sample of 18 subjects with Wagner 2 or greater neuropathic, nonischemic ulcers on the plantar surface of the foot, which healed completely over a 13-week follow-up period. Every 2 weeks, the study ulcers were evaluated via PUSH. Healing was defined as complete reepithelialization. RESULTS: PUSH scores were modeled using a piecewise linear regression. PUSH values decreased significantly (P < .0001) at a rate of 0.6656 per week, until 2 weeks before healing, and then decreased significantly (P < .0001) at a rate of 2.2496 per week for the last 2 weeks of healing. Conversely, the time-to-heal (in weeks) increased significantly (P < .0001), at a rate of 0.6412 per each unit increase in PUSH for PUSH values of 4 or less, and then significantly (P < .0001) increased at a rate of 1.072 for PUSH values greater than 5. In predicting time-to-heal, the subitem of length × width alone (R = 0.81) is comparable to the total PUSH score (R = 0.76). Individually, exudate (R = 0.36) and tissue type (R = 0.42) are not nearly as useful as length × width. CONCLUSION: Our findings indicate that PUSH scores significantly decrease over time in healing neuropathic diabetic foot ulcers (DFUs) that have no arterial etiologic component. Findings also suggest that total PUSH scores predict time-to-heal for DFU. We showed that a DFU with a PUSH score of 10 would be expected to heal in 8.8 weeks (95% CI: 7.4-10.2) and a DFU with a PUSH score of 4 in 2.6 weeks (95% CI: 1.88-3.25). Finally, measurements of size alone predict healing time for neuropathic DFU. This finding could greatly simplify clinical assessments.

Preliminary Experience with Conservative Sharp Wound Debridement by Nurses in the Outpatient Management of Diabetic Foot Ulcers: Safety, Efficacy, and Economic Analysis.

Background: Treatment of diabetes costs the United States an estimated $245 billion annually; one-third of which is related to the treatment of diabetic foot ulcers (DFUs). We present a safe, efficacious, and economically prudent model for the outpatient treatment of uncomplicated DFUs. Methods: 77 patients (mean age = 54 years, range 31 to 83) with uncomplicated DFUs prospectively enrolled from September 2008 through February 2012. All patients received an initial sharp debridement by one of two orthopaedic foot and ankle fellowship trained surgeons. Ulcer dressings, offloading devices, and debridement procedures were standardized. Patients were evaluated every two weeks by research nurses who utilized a clinical management algorithm and performed conservative sharp wound debridement (CSWD). Results: Average time to clinical healing was 6.0 weeks. There were no complications of CSWD performed by nurses. The sensitivity for the timely identification of wound deterioration was 100%, specificity = 86.49%, PPV = 68.75% and NPV = 100% with an overall accuracy of 89.58%. The estimated cost savings in this model by having nurses perform CSWD was $223.26 per encounter, which, when extrapolated to national estimates, amounts to $1.56 billion to $2.49 billion in potential annual savings across six to ten-week treatment periods, respectively. Conclusion: CSWD of DFUs by nurses in a vertically integrated multidisciplinary team is a safe, effective, and fiscally responsible clinical practice. This clinical model on a national scale could result in significant healthcare savings. Surgeons and other licensed independent practitioners would have more time for evaluating and treating more complex and operative patients; nurses would be practicing closer to the full extent of their education and training as allowed in most states.Level of Evidence: III.

Strain- and Species-Level Variation in the Microbiome of Diabetic Wounds Is Associated with Clinical Outcomes and Therapeutic Efficacy.

Chronic wounds are a major complication of diabetes associated with high morbidity and health care expenditures. To investigate the role of colonizing microbiota in diabetic wound healing, clinical outcomes, and response to interventions, we conducted a longitudinal, prospective study of patients with neuropathic diabetic foot ulcers (DFU). Metagenomic shotgun sequencing revealed that strain-level variation of Staphylococcus aureus and genetic signatures of biofilm formation were associated with poor outcomes. Cultured wound isolates of S. aureus elicited differential phenotypes in mouse models that corresponded with patient outcomes, while wound "bystanders" such as Corynebacterium striatum and Alcaligenes faecalis, typically considered commensals or contaminants, also significantly impacted wound severity and healing. Antibiotic resistance genes were widespread, and debridement, rather than antibiotic treatment, significantly shifted the DFU microbiota in patients with more favorable outcomes. These findings suggest that the DFU microbiota may be a marker for clinical outcomes and response to therapeutic interventions.

Wound bioburden and infection-related complications in diabetic foot ulcers.

The identification and diagnosis of diabetic foot ulcer (DFU) infections remains a complex problem. Because inflammatory responses to microbial invasion may be diminished in persons with diabetes, clinical signs of infection are often absent in persons with DFUs when infection is limited to localized tissue. In the absence of these clinical signs, microbial load is believed to be the best indicator of infection. Some researchers, however, believe microbial load to be insignificant and type of organism growing in the ulcer to be most important. Previous studies on the microbiology of DFUs have not provided enough evidence to determine the microbiological parameters of importance.Infection-related complications of DFUs include wound deterioration, osteomyelitis, and amputation. Risk factors for amputation include age, peripheral vascular disease, low transcutaneous oxygen, smoking, and poor glycemic control. These risk factors are best measured directly with physiological measures of arterial perfusion, glycemic control, sensory neuropathy, plantar pressures, and activity level and by controlling off-loading. DFU bioburden has not been examined as a risk factor for infection-related complications. To address the relationship between wound bioburden and the development of infection-related complications in DFUs, tightly controlled prospective studies based on clearly defined, valid measures of wound bioburden and wound outcomes are needed. This article reviews the literature and proposes a model of hypothesized relationships between wound bioburden-including microbial load, microbial diversity, and pathogenicity of organisms-and the development of infection-related complications.

The inter-rater reliability of the Clinical Signs and Symptoms Checklist in diabetic foot ulcers.

The Clinical Signs and Symptoms Checklist is a tool designed to measure 12 clinical signs and symptoms of localized chronic wound infection. Since its initial development, this Checklist has been revised to include sanguineous drainage. To examine the inter-rater reliability of the revised Clinical Signs and Symptoms Checklist in diabetic foot ulcers, an observational, cross-sectional study was conducted in conjunction with a larger study examining the validity of each sign and symptom for identifying infection in diabetic foot ulcers. Two independent nurse observers assessed 64 diabetic foot ulcers in 64 patients using the Checklist. The reliability of each item was calculated using percent agreement and the Kappa coefficient. Total percent agreement ranged from 76% to 100%, and Kappa statistics ranged from .34 to 1.00. Study findings confirm that the Clinical Signs and Symptoms Checklist is a reliable tool for identifying the clinical signs and symptoms of localized infection in diabetic foot ulcers.

Diagnostic Validity of Semiquantitative Swab Cultures.

Swab cultures of wounds are noninvasive and most laboratories are capable of semiquantitatively processing these specimens. This study examined the diagnostic validity of semiquantitative swab cultures obtained using Levine's technique and compared semiquantitative and quantitative swab cultures. Two swab specimens were obtained from a sample of 44 chronic wounds using Levine's technique. One was processed using quantitative laboratory procedures and the other using semiquantitative laboratory procedures. The diagnostic validity of the findings from each swab culture process was determined by associating the culture findings of each with quantitative tissue cultures (reference standard) using receiver operating characteristic (ROC) curves and by evaluating concordance. The area under the curve (AUC) of the semiquantitative swab culture was 0.639, which was not significantly higher than the .50 diagonal chance (P = 0.0501), suggesting a non-informative test. The AUC for quantitative swab cultures was 0.821. The AUC of the quantitative swab culture was significantly higher than the diagonal chance line of 0.5 and was significantly higher than the AUC of the semiquantitative swab culture (P = 0.0128). The mean concordance of semiquantitative cultures in recovering all organisms was 57%. The mean concordance of quantitative swab cultures in recovering all organisms was 72%. The findings of this study suggest that swab specimens processed using semiquantitative processes do not provide culture findings that correlate well with culture findings from tissue specimens. More meaningful information can be obtained from swab specimens if they are quantitatively processed in the laboratory.

Exploring inappropriate certified nursing assistant glove use in long-term care.

BACKGROUND: Certified Nursing Assistants (CNAs) frequently wear gloves when they care for patients in standard precautions. If CNAs use gloves inappropriately, they may spread pathogens to patients and the environment, potentially leading to health care-associated infections (HAIs). METHODS: Using a descriptive structured observational design, we examined the degree of inappropriate health care personnel glove use in a random sample of 74 CNAs performing toileting and perineal care at 1 long-term care facility. RESULTS: During the 74 patient care events, CNAs wore gloves for 80.2% (1,774/2,213) of the touch points, failing to change gloves at 66.4% (225/339) of glove change points. CNAs changed gloves a median of 2.0 times per patient care event. A median of 1.0 change occurred at a change point. CNAs failed to change their gloves at a glove change point a median of 2.5 times per patient care event. Most (61/74; 82.4%) patient care events had >1 contaminated touch point. Over 44% (782/1,774) of the gloved touch points were defined as contaminated for a median of 8.0 contaminated glove touch points per patient care event. All contaminated touches were with gloved hands (P <.001). CONCLUSIONS: Inappropriate glove use was frequently observed in this study. Contaminated gloves may be a significant cause of cross-contamination of pathogens in health care environments. Future research studies should evaluate strategies to improve glove use to reduce HAIs.

Temporal Stability in Chronic Wound Microbiota Is Associated With Poor Healing.

Microbial burden of chronic wounds is believed to play an important role in impaired healing and the development of infection-related complications. However, clinical cultures have little predictive value of wound outcomes, and culture-independent studies have been limited by cross-sectional design and small cohort size. We systematically evaluated the temporal dynamics of the microbiota colonizing diabetic foot ulcers, a common and costly complication of diabetes, and its association with healing and clinical complications. Dirichlet multinomial mixture modeling, Markov chain analysis, and mixed-effect models were used to investigate shifts in the microbiota over time and their associations with healing. Here we show, to our knowledge, previously unreported temporal dynamics of the chronic wound microbiome. Microbiota community instability was associated with faster healing and improved outcomes. Diabetic foot ulcer microbiota were found to exist in one of four community types that experienced frequent and nonrandom transitions. Transition patterns and frequencies were associated with healing time. Exposure to systemic antibiotics destabilized the wound microbiota, rather than altering overall diversity or relative abundance of specific taxa. This study provides evidence that the dynamic wound microbiome is indicative of clinical outcomes and may be a valuable guide for personalized management and treatment of chronic wounds.