Comparison of the Predictive Validity of Norton and Braden Scales in Determining the Risk of Pressure Injury in Elderly Patients.

AIM: To compare the reliability and predictive validity of Norton and Braden scales in determining the risk of pressure injury in elderly patients. DESIGN: This research used a comparative design. One hundred thirty elderly patients participated in the study. METHODS: The daily pressure injury risk of participants was evaluated by a researcher using both the Norton and Braden scales in a consecutive manner. RESULTS: The mean age of patients was 75.1 ± 8.5 years, and that for those without and with pressure injury development was 75.0 ± 8.3 years and 76.1 ± 9.7 years (P < .001), respectively. The reliability coefficients of the Norton and Braden scales were .82 and .89, respectively. The sensitivity, specificity, and positive and negative predictive values of the Norton Scale were 100%, 40.7%, 20.2%, and 100%, and those of the Braden Scale were 100%, 32.7%, 18.3%, and 100%, respectively. CONCLUSIONS: The reliability of both scales for elderly patients was found to be high, and their ability to differentiate patients at risk was comparable. However, both scales had low specificity. Further research is needed to develop scales that have higher predictive validity for the elderly population, taking into account other risk factors that influence total scale scores.

A rare presentation of Rosai-Dorfman-Destombes disease with central nervous system involvement and cutaneous wounds.

OBJECTIVE: The aim of this case report is to investigate an uncommon presentation of Rosai-Dorfman-Destombes (RDD) disease, and discuss possible differential diagnoses and treatment options for this pathology. RDD is a rare disorder of histiocytes that typically presents in patients as painless cervical lymphadenopathy. However, this case involves a patient with the central nervous system (CNS) type of RDD who later developed cutaneous lesions. METHOD: Several differential diagnoses were examined, including hidradenitis suppurativa, pilonidal cyst and pressure ulcers. It is important to be able to exclude these diagnoses based on the presentation, patient demographic and wound location. RESULTS: Biopsies verified the presence of RDD in the patient's suprasellar hypothalamic mass and skin lesions, confirming the patient had both CNS-RDD and cutaneous-RDD in the absence of lymphadenopathy. CONCLUSION: Recognising the unique manifestations of rare diseases such as RDD prevents delay of proper intervention and treatment.

Overlooked Pain Assessment Records in Patients with Pressure Injuries During the COVID-19 Pandemic: A Retrospective Data Analysis.

BACKGROUND: During the COVID-19 pandemic, healthcare professionals focused on identifying the cause of hemodynamic instability in patients and may have neglected to assess pressure injury (PI)-related pain. Although pain is an early indicator of PI development, there has been no systematic evaluation of PI-related pain in patients. OBJECTIVE: To review nurses' records of PI-related pain in patients who developed PIs during the COVID-19 pandemic. METHODS: This retrospective, descriptive study included data from 510 patients at one hospital. Collected data included patient demographics (age, sex, diagnosis, and comorbidities), PI classification, and assessment of PI-related pain. Assessment data regarding PI-related pain included the characteristics of the pain, the type of analgesia (pharmacologic/nonpharmacologic) administered before and after PI management (debridement, dressing change, etc), the route of administration, and the frequency of pain assessment before and after analgesia. RESULTS: The mean age of the patients (60.4% men) was 28.96 (SD, 5.82) years, and the mean length of hospital stay was 26.15 (SD, 16.1) days. Overall, 43.1% of the patients were treated in the ICU, 68.0% were conscious, and 18.6% tested positive for COVID-19. Deep-tissue injuries occurred in 57.5% of patients, with 48.6% developing stage 2 PI. The sacral region was the most common area for PI development (44.8%). The mean duration of repositioning in patients with PI was 23.03 (SD, 5.4) hours. Only 0.40% of patients (n = 2) were evaluated for pain, and only one patient was assessed for pain before and after analgesia was administered. CONCLUSIONS: The findings suggest a lack of comprehensive evaluation and records concerning PI-related pain in patients with COVID-19.

Inter-device agreement of sacral subepidermal oedema measurement in healthy adults during prolonged 60° head of bed elevation.

AIM: To investigate the level of agreement between the SEM 200 and Provisio® subepidermal moisture sacral delta measurements, which may indicate increased pressure injury risk, in healthy adults during 120 min of prolonged 60° head of bed elevation. This position, which requires the elevation of the patient's upper body at a 60° angle above the horizontal plane for an extended period, is used by clinicians to prevent or manage a patient's medical or surgical conditions. DESIGN: This prospective exploratory study recruited 20 healthy adults during October 2021 and collected sacral subepidermal moisture delta measurements using the SEM 200 and Provisio® devices. METHODS: Delta measurements were taken at 20-min intervals over 120 min resulting in seven data collection timepoints. Descriptive statistics and a Bland Altman plot analysis were conducted. RESULTS: A total of 280 sacral subepidermal moisture delta measurements were gathered or 140 per device. There were good levels of agreement between the two devices at baseline (T0) [mean 0.025; SD 0.137] and following 60- (T3) [mean 0.025; SD 0.111], 80- (T4) [mean -0.01; SD 0.177] and 100 min (T5) [mean 0.01; SD 0.129] of prolonged 60° head of bed elevation. Head of bed elevations can increase a patient's risk of sacral pressure injuries. In some countries, nurses have access to the SEM 200 and/or the Provisio® device, so our findings may increase nurses' confidence in the interchangeability of the device measurements, although further research is needed to confirm this. The SEM 200 and Provisio® subepidermal moisture scanners show promise in gathering similar objective pressure injury risk data which could prompt clinicians to implement prevention strategies. IMPACT: Current pressure injury risk assessment is largely subjective in nature. This quantitative study on healthy human sacral tissue found a good level of agreement in the SEM 200 and Provisio® subepidermal moisture scanners, which may increase nurses' confidence in the interchangeability of the devices in clinical practice.

A nomogram to predict the risk of surgery-related pressure ulcers in patients undergoing cardiovascular surgery.

OBJECTIVE: In this study, we aimed to establish a new nomogram score to predict the occurrence of surgery-related pressure ulcers (SRPU) in patients undergoing cardiovascular surgery. METHODS: We conducted a retrospective study among patients who underwent cardiovascular surgery between February 2016 and November 2020. RESULTS: We established a prediction model based on a logistic regression model and tested the calibration and discrimination. We included 1163 patients who had undergone cardiovascular surgery. We formulated the logistic regression model, with Logit(P) = -11.745 + 0.024 preoperative hemoglobin value + 0.118 serum sodium value - 0.014 prealbumin value - 0.213 intraoperative mean temperature - 0.058 minimum mean arterial pressure + 0.646 preoperative blood potassium value + 0.264 smoking frequency + 0.760 hypertension history + 0.536 age ≥70 years. In this model ,"+" indicates that the factor is positively related to the occurrence risk of SRPU and "-" indicates that the factor is negatively associated with SRPU risk. The predictive model and nomogram had good accuracy in estimating the risk of SRPU, with a C-index of 0.755 (95% confidence interval: 0.719-0.792). CONCLUSIONS: The present model can be used to effectively screen patients with a high risk of SRPU to devise targeted nursing intervention strategies and ultimately reduce the incidence rate of SRPU.

The clinical applicability of sensor technology with body position detection to combat pressure ulcers in bedridden patients.

INTRODUCTION: Pressure Ulcers (PUs) are a major healthcare issue leading to prolonged hospital stays and decreased quality of life. Monitoring body position changes using sensors could reduce workload, improve turn compliance and decrease PU incidence. METHOD: This systematic review assessed the clinical applicability of different sensor types capable of in-bed body position detection. RESULTS: We included 39 articles. Inertial sensors were most commonly used (n = 14). This sensor type has high accuracy and is equipped with a 2-4 hour turn-interval warning system increasing turn compliance. The second-largest group were piezoresistive (pressure) sensors (n = 12), followed by load sensors (n = 4), piezoelectric sensors (n = 3), radio wave-based sensors (n = 3) and capacitive sensors (n = 3). All sensor types except inertial sensors showed a large variety in the type and number of detected body positions. However, clinically relevant position changes such as trunk rotation and head of bed elevation were not detected or tested. CONCLUSION: Inertial sensors are the benchmark sensor type regarding accuracy and clinical applicability but these sensors have direct patient contact and (re)applying the sensors requires the effort of a nurse. Other sensor types without these disadvantages should be further investigated and developed. We propose the Pressure Ulcer Position System (PUPS) guideline to facilitate this.

Validity and reliability of the Waterlow scale for assessing pressure injury risk in critical adult patients: A multi-centre cohort study.

AIM: To evaluate the predictive validity and reliability of the Waterlow scale in critically adult hospitalised patients. DESIGN: A multi-centre cohort study. METHODS: This study was conducted in 72 intensive care units (ICUs) in 38 tertiary hospitals in Gansu Province, China. All adults admitted to the ICU for greater than or equal to 24 h without pressure injury (PI) on admission were screened by the Waterlow scale on admission, during ICU stay and ICU discharge from April 2021 to February 2023. Receiver operating characteristic (ROC) curves were used to determine a potential cut-off value for critical adult hospitalised patients. Cut-off values were then determined using Youden's index, and sensitivity, specificity, positive predictive value, negative predictive value and accuracy were calculated based on these cut-off values. Test-retest reliability was used to evaluate inter-rater reliability. RESULTS: A total of 5874 critical patients on admission were included, and 5125 of them were assessed regularly. The area under curve (AUC) was 0.623 (95% CI, 0.574-0.690), with a cut-off score of 19 showing the best balance among sensitivity of 62.7%, specificity of 57.4%, positive predictive value of 2.07% and negative predictive value of 99.08%. The test-retest reliability between the first assessment and the regular assessment was 0.447. CONCLUSIONS: The Waterlow scale shows insufficient predictive validity and reliability in discriminating critical adults at risk of PI development. To further modify the items of the Waterlow scale, exploring specific risk factors for PI in the ICU and clarifying their impact degree was necessary. Risk predictive models or better tools are inevitable in the future. PATIENT OR PUBLIC CONTRIBUTION: Patients or family members supported nurses with PI risk assessment, skin examination and other activities during the inquiry.

Detecting Early-Stage Pressure Injury in Patients With Dark Skin Tones Using an Enhanced Physical Assessment Technique and Halogen Lighting.

PURPOSE: The purpose of this quality improvement project was to identify stage 1 pressure injuries (PIs) in patients with darker skin tones using an enhanced skin assessment (Skin Assessment for Dark Skin, SADS) and halogen lighting. PARTICIPANTS AND SETTING: This quality improvement project was conducted on 3 units at a large university teaching hospital in Southeast Michigan. The project was originally designed so that participating patients were identified by bedside nurses as having sufficient melanin to obscure blanching on the hand/forearm using regular lighting, but this goal was not met. Data analysis is based on patients who self-identified as African American or Black, Native Hawaiian or Pacific Islander, Asian, American Indian, and Native Alaskan. Bedside nurses participating in this project were also asked to complete a questionnaire describing their knowledge and experiences with this project and assessment of early-stage PI in patients with darker skin tones. APPROACH: The Iowa Model of Evidence-Based Practice was used to guide this quality improvement initiative. Following a trigger event, we reviewed pertinent literature and developed an enhanced technique for assessing patients with darker skin tones that involved use of halogen lighting (SADS) and documentation of findings. We selected units from our facility and taught nurses to apply the SADS approach. Data from the electronic medical record and a survey of participating nurses were used to compare findings before and after project implementation. Comparisons were based on descriptive data analysis. OUTCOMES: Following implementation of the enhanced physical assessment, the participating units experienced a 6% decrease in the total number of facility-acquired PIs during the implementation period. IMPLICATIONS FOR PRACTICE: The enhanced physical assessment, when paired with halogen lighting, enhanced identification of stage 1 PI in persons with dark skin. The assessment method was easy to teach, learn, and can be performed at the bedside as part of a shift assessment which routinely includes inspection of skin.

Fluctuations in Detection Indicators and Their Significance for the Diagnosis of Early Pressure Injury in Rat Models.

PURPOSE: The aim of this study was to identify the most meaningful diagnostic indicator for distinguishing blanchable erythema (BE) and stage 1 pressure injury (early PI) in an in vivo (rat) model. DESIGN: A prospective case-control design was used to complete a horizontal and vertical comparison of detection indicators during the process of fading of BE or the deterioration of early PI into ulcer in rat models. MATERIALS AND SETTING: The sample comprised 5 hairless rats with 20 injuries, of which 10 were BE and the other 10 were early PI. Data were collected at Nagano College of Nursing in 2020 in Nagano, Japan. METHODS: The BE and PI rat models were established by subjecting the dorsal skin of a hairless rat to compression between 2 neodymium magnets for 45 minutes and 3.45 hours, respectively. The affected skin was observed based on the following: (1) photography, (2) hardness, (3) temperature, (4) moisture, and (5) spectrophotometric (a* value and ultraviolet [UV] reflectance) measurements. All measurements of BE were performed at the beginning to 60 minutes after decompression, and those for early PI were performed until 48 hours after decompression. RESULTS: Multiple BE factors, such as the degree of erythema (macroscopy and a* value), hardness, temperature, and moisture, were found to have unstable fluctuations. Only UV reflectance gradually decreased from 6 hours and decreased significantly at 48 hours after decompression (P = .001 vs 1 hour). In contrast to early PI, erythema in BE obviously faded within 10 minutes. CONCLUSIONS: Study findings indicate that a continuous decrease in UV reflectance can reflect the worsening of hemorrhage in early (stage 1) PI. In contrast, other indicators including photography, skin hardness, temperature, and moisture fluctuated and did not prove predictive for PI progression. The obvious fading of erythema in BE a short time after decompression can be used for clinical observations.

[Research advances on application of sub-epidermal moisture scanner in monitoring tissue viability of early pressure injuries].

Pressure injury (PI) not only reduces the quality of life of patients but also is expensive to manage, placing a heavy financial burden on patients and their families, and society. Despite the increasing diversity of methods used to identify early PI, there are still few methods that can truly and accurately predict early PI. The sub-epidermal moisture scanner is the first U.S. Food and Drug Administration-authorized PI management device that can predict the occurrence and development of PI by measuring the level of local tissue bio-capacitance and monitoring the tissue viability. As an emerging diagnostic instrument, the sub-epidermal moisture scanner has already shown great advantages in clinical practice, which can promote the informatization, digitization, and intelligent prevention and management of PI. This paper introduces the pathophysiological mechanism of PI, elucidates the working principle and parameter settings of the sub-epidermal moisture scanner, its clinical application in monitoring tissue viability in early PI, and its limitation, and looks forward to its future development.

Sacral Ulcer Development Risk Among Older Adult Patients in North Texas Rehabilitation Hospitals: Role of Comorbidities, Lifestyle, and Personal Factors.

PURPOSE: Sacral ulcers are a serious mortality risk for older adults; thus, we aimed to determine sacral ulcer risk factors among older adults who were recently admitted to rehabilitation hospitals. METHOD: We conducted a retrospective cohort study using the Texas Inpatient Discharge database (2021). The study included 1,290 rehabilitation hospital patients aged ≥60 years diagnosed with sacral ulcers. The control group comprised 37,626 rehabilitation hospital patients aged ≥60 years without sacral ulcers. Binary logistic regression was used to identify risks for sacral ulcer development adjusting for patient demographics, insurance type, and lifestyle. RESULTS: Comorbidities of dementia, Parkinson's disease, type 2 diabetes, and cardiac dysrhythmias were significantly associated with increased risk of sacral ulcers. Longer length of stay, Medicare, and Medicare HMO were also associated with sacral ulcers. Demographically, older age, male sex, identifying as African American, and having malnutrition all had a 50% increased prevalence of sacral ulcers. CONCLUSION: Findings indicate a need to proactively treat chronic comorbidities in vulnerable populations to reduce their possible risk for hospital-acquired infections and excess mortality from sacral ulcers. [Journal of Gerontological Nursing, 50(2), 32-41.].

Factors associated with pressure ulcer and dehydration in long-term care settings in Ontario, Canada.

Pressure ulcers and dehydration are common conditions among residents of long-term care facilities that result in negative health effects. They have been associated with signs of neglect and increased 30-day mortality among LTC residents. However, they are both preventable and with proper care can be effectively managed and treated. We conducted a retrospective cohort study to examine factors associated with pressure ulcers and dehydration among long-term care residents in the province of Ontario, Canada. Results indicated that close to one-fifth of residents were dehydrated (17.3%) or had a pressure ulcer (18.9%) during the study period. Advanced age was significantly associated with the presence of pressure ulcers and dehydration for both men and women. However, men were more likely to present with a pressure ulcer while women were more likely to exhibit symptoms of dehydration. Study findings also demonstrate the presence of both conditions being higher in municipal and not-for-profit homes compared to for-profit homes. The significant differences observed in relation to home ownership which require further investigation to identify the most relevant factors in explaining these differences. Overall, pressure ulcers and dehydration are preventable conditions that warrant attention from policymakers to ensure quality of care and resident safety are prioritized.

Comparison of the predictive validity of the Braden and Waterlow scales in intensive care unit patients: A multicentre study.

BACKGROUND: The first step in preventing pressure injuries (PIs), which represent a significant burden on intensive care unit (ICU) patients and the health care system, is to assess the risk for developing PIs. A valid risk assessment scale is essential to evaluate the risk and avoid PIs. OBJECTIVES: To compare the predictive validity of the Braden scale and Waterlow scale in ICUs. DESIGN: A multicentre, prospective and cross-sectional study. METHODS: We conducted this study among 6416 patients admitted to ICUs in Gansu province of China from April 2021 to October 2022. The incidence and characteristics of PIs were collected. The risk assessment of PIs was determined using the Braden and Waterlow scale. The sensitivity, specificity, positive and negative predictive values, and the area under the receiver operating characteristic curve of the two scales were compared. RESULTS: Out of 5903 patients, 72 (1.2%) developed PIs. The sensitivity, specificity, positive and negative predictive, and the area under the curve of the Braden scale were 77.8%, 50.9%, 0.014 and 0.996, and 0.689, respectively. These values for the Waterlow scale were 54.2%, 71.1%, 0.017, 0.994 and 0.651. CONCLUSIONS: Both scales could be used for risk assessment of PIs in ICU patients. However, the accuracy of visual inspection for assessment of skin colour, nursing preventive measures for patients and scales inter-rater inconsistency may limited the predictive validity statistics. RELEVANCE TO CLINICAL PRACTICE: Both scales could be used for PIs risk assessment. The low specificity of the Braden scale and low sensitivity of the Waterlow scale remind medical staff to use them in combination with clinical judgement and other objective indicators. PATIENT OR PUBLIC CONTRIBUTION: This study was designed to enhance the management of PIs. Patients and the general public were not involved in the study design, analysis, and interpretation of the data or manuscript preparation.

Evaluating Natural Language Processing Packages for Predicting Hospital-Acquired Pressure Injuries From Clinical Notes.

Incidence of hospital-acquired pressure injury, a key indicator of nursing quality, is directly proportional to adverse outcomes, increased hospital stays, and economic burdens on patients, caregivers, and society. Thus, predicting hospital-acquired pressure injury is important. Prediction models use structured data more often than unstructured notes, although the latter often contain useful patient information. We hypothesize that unstructured notes, such as nursing notes, can predict hospital-acquired pressure injury. We evaluate the impact of using various natural language processing packages to identify salient patient information from unstructured text. We use named entity recognition to identify keywords, which comprise the feature space of our classifier for hospital-acquired pressure injury prediction. We compare scispaCy and Stanza, two different named entity recognition models, using unstructured notes in Medical Information Mart for Intensive Care III, a publicly available ICU data set. To assess the impact of vocabulary size reduction, we compare the use of all clinical notes with only nursing notes. Our results suggest that named entity recognition extraction using nursing notes can yield accurate models. Moreover, the extracted keywords play a significant role in the prediction of hospital-acquired pressure injury.

An AdaBoost-based algorithm to detect hospital-acquired pressure injury in the presence of conflicting annotations.

Hospital-acquired pressure injury is one of the most harmful events in clinical settings. Patients who do not receive early prevention and treatment can experience a significant financial burden and physical trauma. Several hospital-acquired pressure injury prediction algorithms have been developed to tackle this problem, but these models assume a consensus, gold-standard label (i.e., presence of pressure injury or not) is present for all training data. Existing definitions for identifying hospital-acquired pressure injuries are inconsistent due to the lack of high-quality documentation surrounding pressure injuries. To address this issue, we propose in this paper an ensemble-based algorithm that leverages truth inference methods to resolve label inconsistencies between various case definitions and the level of disagreements in annotations. Application of our method to MIMIC-III, a publicly available intensive care unit dataset, gives empirical results that illustrate the promise of learning a prediction model using truth inference-based labels and observed conflict among annotators.

Enhancing Pressure Injury Surveillance Using Natural Language Processing.

OBJECTIVE: This study assessed the feasibility of nursing handoff notes to identify underreported hospital-acquired pressure injury (HAPI) events. METHODS: We have established a natural language processing-assisted manual review process and workflow for data extraction from a corpus of nursing notes across all medical inpatient and intensive care units in a tertiary care pediatric center. This system is trained by 2 domain experts. Our workflow started with keywords around HAPI and treatments, then regular expressions, distributive semantics, and finally a document classifier. We generated 3 models: a tri-gram classifier, binary logistic regression model using the regular expressions as predictors, and a random forest model using both models together. Our final output presented to the event screener was generated using a random forest model validated using derivation and validation sets. RESULTS: Our initial corpus involved 70,981 notes during a 1-year period from 5484 unique admissions for 4220 patients. Our interrater human reviewer agreement on identifying HAPI was high ( κ = 0.67; 95% confidence interval [CI], 0.58-0.75). Our random forest model had 95% sensitivity (95% CI, 90.6%-99.3%), 71.2% specificity (95% CI, 65.1%-77.2%), and 78.7% accuracy (95% CI, 74.1%-83.2%). A total of 264 notes from 148 unique admissions (2.7% of all admissions) were identified describing likely HAPI. Sixty-one described new injuries, and 64 describe known yet possibly evolving injuries. Relative to the total patient population during our study period, HAPI incidence was 11.9 per 1000 discharges, and incidence rate was 1.2 per 1000 bed-days. CONCLUSIONS: Natural language processing-based surveillance is proven to be feasible and high yield using nursing handoff notes.

Prediction Model for Postoperative Pressure Injury in Patients with Acute Type A Aortic Dissection.

OBJECTIVE: To establish a risk assessment model to predict postoperative National Pressure Injury Advisory Panel stage 2 or higher pressure injury (PI) risk in patients undergoing acute type A aortic dissection surgery. METHODS: This retrospective assessment included consecutive patients undergoing acute type A aortic dissection surgery in the authors' hospital from September 2017 to June 2021. The authors used LASSO (logistic least absolute shrinkage and selection operator) regression analysis to identify the most relevant variables associated with PI by running cyclic coordinate descent with 10-times cross-validation. The variables selected by LASSO regression analysis were subjected to multivariate logistic analysis. A calibration plot, receiver operating characteristic curve, and decision curve analysis were used to validate the model. RESULTS: There were 469 patients in the study, including 94 (27.5%) with postoperative PI. Ten variables were selected from LASSO regression: body mass index, diabetes, Marfan syndrome, stroke, preoperative skin moisture, hemoglobin, albumin, serum creatinine, platelet, and d-dimer. Four risk factors emerged after multivariate logistic regression: Marfan syndrome, preoperative skin moisture, albumin, and serum creatinine. The area under the receiver operating characteristic curve of the model was 0.765. The calibration plot and the decision curve analysis both suggested that the model was suitable for predicting postoperative PI. CONCLUSIONS: This study built an efficient predictive model that could help identify high-risk patients.

A Simple Simulation System for Quantifying Buttock Loads Caused by Daily Activities of Wheelchair Users.

The purpose of this study is to quantify the load generated on the buttocks during wheelchair operation in order to clarify the cause of pressure injuries on the buttocks of wheelchair users. In the case of repeated measurements, pressure injuries may occur by conducting experiments with people with actual disabilities. In this study, we proposed a method of dynamic simulation using a humanoid model in order to carry out buttock load safely due to exercise. In addition, the load on the buttocks is quantified by reproducing a simulated cushion that reproduces the actual physical properties on the simulator. When we conducted an evaluation experiment of the developed simulation to quantify the buttock load, we confirmed the validity of this simulator in the front-back direction. On the other hand, the correlation with the actual data is low in the left-right direction, and it is considered necessary to improve the humanoid model in order to improve the accuracy.