Wound Bed Preparation 2021.

GENERAL PURPOSE: To present the 2021 update of the Wound Bed Preparation paradigm. TARGET AUDIENCE: This continuing education activity is intended for physicians, physician assistants, nurse practitioners, and nurses with an interest in skin and wound care. LEARNING OBJECTIVES/OUTCOMES: After participating in this educational activity, the participant will: 1. Apply wound assessment strategies. 2. Identify patient concerns about wound care. 3. Select management options for healable, nonhealable, and maintenance wounds.

Wound Bed Preparation is a paradigm to optimize chronic wound treatment. This holistic approach examines the treatment of the cause and patient-centered concerns to determine if a wound is healable, a maintenance wound, or nonhealable (palliative). For healable wounds (with adequate blood supply and a cause that can be corrected), moisture balance is indicated along with active debridement and control of local infection or abnormal inflammation. In maintenance and nonhealable wounds, the emphasis changes to patient comfort, relieving pain, controlling odor, preventing infection by decreasing bacteria on the wound surface, conservative debridement of slough, and moisture management including exudate control. In this fourth revision, the authors have reformulated the model into 10 statements. This article will focus on the literature in the last 5 years or new interpretations of older literature. This process is designed to facilitate knowledge translation in the clinical setting and improve patient outcomes at a lower cost to the healthcare system.

Identifying patients with asthma in primary care electronic medical record systems Chart analysis-based electronic algorithm validation study.

OBJECTIVE: To develop and test a variety of electronic medical record (EMR) search algorithms to allow clinicians to accurately identify their patients with asthma in order to enable improved care. DESIGN: A retrospective chart analysis identified 5 relevant unique EMR information fields (electronic disease registry, cumulative patient profile, billing diagnostic code, medications, and chart notes); asthma-related search terms were designated for each field. The accuracy of each term was tested for its ability to identify the asthma patients among all patients whose charts were reviewed. Increasingly sophisticated search algorithms were then designed and evaluated by serially combining individual searches with Boolean operators. SETTING: Two large academic primary care clinics in Hamilton, Ont. PARTICIPANTS: Charts for 600 randomly selected patients aged 16 years and older identified in an initial EMR search as likely having asthma (n = 150), chronic obstructive pulmonary disease (n = 150), other respiratory conditions (n = 150), or nonrespiratory conditions (n = 150) were reviewed until 100 patients per category were identified (or until all available names were exhausted). A total of 398 charts were reviewed in full and included. MAIN OUTCOME MEASURES: Sensitivity and specificity of each search for asthma diagnosis (against the reference standard of a physician chart review-based diagnosis). RESULTS: Two physicians reviewed the charts identified in the initial EMR search using a standardized data collection form and ascribed the following diagnoses in 398 patients: 112 (28.1%) had asthma, 81 (20.4%) had chronic obstructive pulmonary disease, 104 (26.1%) had other respiratory conditions, and 101 (25.4%) had nonrespiratory conditions. Concordance between reviewers in chart abstraction diagnosis was high (κ = 0.89, 95% CI 0.80 to 0.97). Overall, the algorithm searching for patients who had asthma in their cumulative patient profiles or for whom an asthma billing code had been used was the most accurate (sensitivity of 90.2%, 95% CI 87.3% to 93.1%; specificity of 83.9%, 95% CI 80.3% to 87.5%). CONCLUSION: Usable, practical search algorithms that accurately identify patients with asthma in existing EMRs are presented. Clinicians can apply 1 of these algorithms to generate asthma registries for targeted quality improvement initiatives and outcome measurements. This methodology can be emulated for other diseases.

Toll-like receptor 2 variants are associated with acute reactive arthritis.

OBJECTIVE: We previously reported a recent outbreak of salmonellosis in which some individuals developed complications of the enteric infection. The objective of this study was to identify genetic variants that might predispose infected individuals to develop articular and/or extraarticular sequelae after Salmonella enteritidis infection. METHODS: The entire exposed cohort was invited to participate in the study by sending a saliva sample for DNA analysis. Seventy-five Salmonella-infected subjects for whom there was clinical information agreed to participate and were stratified into 4 groups. Group 1 patients had arthritis and extraarticular features, group 2 patients had arthritis alone, group 3 patients had extraarticular features alone, and group 4 patients had neither. DNA samples from an uninfected cohort of 91 normal subjects were also genotyped. Genotyping was performed using 2 Toll-like receptor 2 (TLR-2) (rs5743708 and rs5743704) and 2 TLR-4 (rs4986790 and rs4986791) single-nucleotide polymorphisms (SNPs). Statistical analyses were carried out using chi-square tests. RESULTS: There was no association of TLR-4 exonic variants with any clinical events that were reported as accompanying the Salmonella infection. In contrast, compared with normal controls, one of the rare TLR-2 SNPs (rs5743708, R753Q) was associated with the development of arthritis and extraarticular features (P = 0.015 by chi-square test). The TLR-2 variant 753Q was not detected in any of the infected individuals with an uncomplicated course. Another TLR-2 variant, 631H, was associated with articular symptoms in infected males (P = 0.03 by chi-square test). CONCLUSION: In this outbreak, genetic variants of TLR-2, but not TLR-4, were associated with acute reactive arthritis following infection with S enteritidis.

Symptomatic acute reactive arthritis after an outbreak of salmonella.

OBJECTIVE: In 2005, 592 individuals in Ontario developed acute gastroenteritis, predominantly after consuming bean sprouts contaminated with Salmonella enteritidis. Salmonella is a known trigger of reactive arthritis (ReA). We describe the population affected by the Salmonella outbreak in terms of clinical presentation of self-reported arthritic symptoms and HLA-B27 genotyping. METHODS: Subjects were mailed a questionnaire, which assessed symptoms consistent with ReA. Subsequently, subjects were asked to submit saliva samples, which were analyzed for HLA-B27. Simple descriptive statistics were performed for analysis of survey responses, and the genetic component was analyzed by chi-square or Fisher's exact tests. RESULTS: Most respondents were female (71.3%), with a mean age of 46.0 years. The mean duration of diarrhea symptoms was 16.5 days. 62.5% of respondents reported extraintestinal symptoms that were consistent with ReA. The most commonly reported features were joint pain, swelling or stiffness (46.2%), stiffness > 30 min (35.6%), ocular symptoms (24.0%), and visibly swollen joints (19.2%). Subjects with Salmonella infection had a similar incidence of HLA-B27, regardless of whether they developed symptoms consistent with ReA or not. Notably, HLA-B27 was present more frequently in those who developed Salmonella infection than in healthy controls (OR 3.0). CONCLUSION: The study, one of the largest for a dysenteric outbreak, revealed a high event rate of self-reported symptoms consistent with ReA in those infected with Salmonella. Our results showed that HLA-B27 may have rendered individuals more susceptible to Salmonella infection, but did not contribute to the development of symptoms consistent with ReA after infection. We note that the methods used in this study, including self-report, are not ideal for diagnosis of inflammatory arthritis. However, given the rarity of large outbreaks of Salmonella, the study adds valuable knowledge about the course of ReA.