Predictive Validity of the Braden Scale for Pressure Ulcer Risk in Critical Care: A Meta‐Analysis

Psychometric properties of the Braden scale to assess pressure injury risk in intensive care: A systematic review

OBJECTIVE

To analyse the psychometric properties of the Braden scale to assess pressure injury risk in adults in intensive care.

DESIGN

A systematic review was conducted, with literature searches undertaken in five electronic databases. No date limits were applied. Selection, data extraction and risk of bias assessment were completed by two reviewers independently. A customised data extraction template was used, with risk of bias conducted using the COSMIN Risk of Bias checklist. Data were analysed using narrative synthesis.

RESULTS

Thirty-four studies met inclusion criteria. Two studies reported internal consistency with Cronbach's alpha ranging from poor (0.43) to good (0.85). For interrater reliability, only four studies reported intraclass correlation, ranging from 0.66 to 0.96 for Braden sum score. Three studies reported convergent validity, with strong associations found between the COMHON Index (r = 0.70), Cubbin-Jackson scale (r = 0.80), and Norton scale (r = 0.77), but contrasting associations with the Waterlow score (r = 0.22 to 0.72). A large majority of studies reported predictive validity (n = 29), with wide variability. Several studies investigated optimal cut-off scores, with the majority indicating this was in the range of 12-14.

CONCLUSIONS

This review demonstrates inconsistency in the psychometric properties of the Braden scale in ICU settings. Further research is needed to determine suitability of the Braden scale for ICU before it can be recommended as standard for clinical practice, including comparison with other ICU-specific risk assessment tools.

IMPLICATIONS FOR CLINICAL PRACTICE

When used in ICU, the reliability, validity and reported cut-off scores of the Braden scale are variable. As a predictive tool, the scale should be used cautiously. In ICU, the value of the Braden scale resides in its ability to identify patients that are most at risk of developing a pressure injury and to implement preventative measures to mitigate identified risk factors.

Pressure ulcer risk assessment in the ICU. Is it time for a more objective measure?

BACKGROUND

The Braden scale, one of the most widely used risk assessment tools is often criticized when used in the Intensive Care Unit. Most patients in the Intensive Care Unit are at risk of pressure ulcer development meaning that the Braden score will usually indicate high risk for these patients. This study set out to determine the correlation between Sub-Epidermal Moisture measurements and Braden scores among Intensive Care Unit patients.

METHODS

This study employed an observational research design. Braden score was assessed on all study days (1-5), in addition to visual skin assessment and Sub-Epidermal Moisture measurements at the sacrum and heels. Sub-Epidermal Moisture measurements were categorised as low (<0.5), borderline abnormal (≥0.5), and high (≥0.8). Correlation was assessed between Sub-Epidermal Moisture levels and Braden scores.

RESULTS

A total of 53 participants were recruited. The median (interquartile range) baseline Braden score was 9 (9-10) and 81 % (n = 43) of participants were at very high/high risk of pressure ulcer development. Braden scores remained relatively constant over time with little fluctuation in scores. 19 % (n = 10) of patients had normal (<0.5) Sub-Epidermal Moisture delta measurements on enrolment, and all developed abnormal measurements by day 2. There were no significant correlations between Braden scores and Sub-Epidermal Moisture measurements.

CONCLUSION

Although this was not its original intention, a missing link with the Braden scale is that it does not provide information on how patients are responding to the adverse effects of pressure and shear forces. Furthermore, in patients who are critically unwell, most patients are classified as being "at risk" of pressure ulcer development. Therefore, an objective measure of how patients are responding to pressure and shear forces at different anatomical areas is needed.

IMPLICATIONS TO CLINICAL PRACTICE

Sub-Epidermal Moisture measurements can offer more information, not only on identifying those who are at risk, but also how those patients are tolerating this risk at different anatomical sites.

Braden score predicts 30-day mortality risk in patients with ischaemic stroke in the ICU: A retrospective analysis based on the MIMIC-IV database

BACKGROUND

Ischaemic stroke remains a significant global health challenge, associated with high mortality rates. While the Braden Scale is traditionally employed to assess pressure ulcer risk, its potential to predict mortality among the intensive care unit (ICU) patients with ischaemic stroke has not been thoroughly investigated.

AIM/S

This study evaluates the predictive value of the Braden Scale for 30-day mortality among patients with ischaemic stroke admitted to ICU.

STUDY DESIGN

We conducted a retrospective analysis of 4710 adult patients with ischaemic stroke from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The association between the Braden Scale scores and 30-day mortality was assessed using receiver operating characteristic (ROC) curve analysis, Cox regression models and Kaplan-Meier survival estimates.

RESULTS

Patients with Braden Scale scores ≤ 15.5 showed significantly higher 30-day mortality rates (p-value < 0.001; hazard ratio (HR): 2.08, 95% confidence interval (CI): 1.71-2.53). The area under the ROC curve (AUC) was 0.71, demonstrating good predictive performance. Multivariate analysis confirmed the Braden Scale as an independent predictor of mortality, after adjusting for age, gender and comorbidities.

CONCLUSIONS

The Braden Scale effectively identifies high-risk ischaemic stroke patients in ICU settings, endorsing its integration into routine assessments to facilitate early intervention strategies.

RELEVANCE TO CLINICAL PRACTICE

Integrating the Braden Scale into routine ICU evaluations can enhance mortality risk stratification and improve patient care tailoring.

One Month Prediction of Pressure Ulcers in Nursing Home Residents with Bayesian Networks

OBJECTIVES

Pressure ulcers (PUs) are a common and avoidable condition among residents of nursing homes, and their consequences are severe. Reliable and simple identification of high-risk residents is a major challenge for prevention. Available tools like the Braden and Norton scale have imperfect predictive performance. The objective is to predict the occurrence of PUs in nursing home residents from electronic health record (EHR) data.

DESIGN

Longitudinal retrospective nested case-control study.

SETTING AND PARTICIPANTS

EHR database of French nursing homes from 2013 to 2022.

METHODS

Residents who suffered from PUs were cases and those who did not were controls. For cases, we analyzed the data available in their EHR 1 month before the occurrence of the first PU. For controls, we used available data 1 month before an index date adjusted on the delays of PU onset. We conducted a Bayesian network (BN) analysis, an explainable machine learning method, using 136 input variables of potential medical interest determined with experts. To validate the model, we used scores, features selection, and explainability tools such as Shapley values.

RESULTS

Among 58,368 residents analyzed, 29% suffered from PUs during their stay. The obtained BN model predicts the occurrence of a PU at a 1-month horizon with a sensitivity of 0.94 (±0.01), a precision of 0.32 (±0.01) and an area under the curve of 0.69 (±0.02). It selects 3 variables: length of stay, delay since last hospitalization, and dependence for transfer. This BN model is suitable and simpler than models provided by other machine learning methods.

CONCLUSIONS AND IMPLICATIONS

One-month prediction for incident PU is possible in nursing home residents from their EHR data. The study paves the way for the development of a predictive tool fueled by routinely collected data that do not require additional work from health care professionals, thereby opening a new preventive strategy for PUs.

Can admission Braden skin score predict delirium in older adults in the intensive care unit? Results from a multicenter study

AIMS AND OBJECTIVES

To investigate whether a low Braden Skin Score (BSS), reflecting an increased risk of pressure injury, could predict the risk of delirium in older patients in the intensive care unit (ICU).

BACKGROUND

Delirium, a common acute encephalopathy syndrome in older ICU patients, is associated with prolonged hospital stay, long-term cognitive impairment and increased mortality. However, few studies have explored the relationship between BSS and delirium.

DESIGN

Multicenter cohort study.

METHODS

The study included 24,123 older adults from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and 1090 older adults from the eICU Collaborative Research Database (eICU-CRD), all of whom had a record of BSS on admission to the ICU. We used structured query language to extract relevant data from the electronic health records. Delirium, the primary outcome, was primarily diagnosed by the Confusion Assessment Method for the ICU or the Intensive Care Delirium Screening Checklist. Logistic regression models were used to validate the association between BSS and outcome. A STROBE checklist was the reporting guide for this study.

RESULTS

The median age within the MIMIC-IV and eICU-CRD databases was approximately 77 and 75 years, respectively, with 11,195 (46.4%) and 524 (48.1%) being female. The median BSS at enrollment in both databases was 15 (interquartile range: 13, 17). Multivariate logistic regression showed a negative association between BSS on ICU admission and the prevalence of delirium. Similar patterns were found in the eICU-CRD database.

CONCLUSIONS

This study found a significant negative relationship between ICU admission BSS and the prevalence of delirium in older patients.

RELEVANCE TO CLINICAL PRACTICE

The BSS, which is simple and accessible, may reflect the health and frailty of older patients. It is recommended that BSS assessment be included as an essential component of delirium management strategies for older patients in the ICU.

NO PATIENT OR PUBLIC CONTRIBUTION

This is a retrospective cohort study, and no patients or the public were involved in the design and conduct of the study.

The occurrence of pressure injuries and related risk factors in patients undergoing extracorporeal membrane oxygenation for respiratory failure: A retrospective single centre study

INTRODUCTION

Limited data is available regarding the incidence of pressure injuries in patients who have undergone Extracorporeal Membrane Oxygenation (ECMO), a life-saving technique that provides respiratory support for hypoxemia that does not respond to conventional treatment.

AIM

To assess the incidence of pressure injuries and identify the risk factors in Acute Respiratory Distress Syndrome patients receiving ECMO.

METHODS

A retrospective observational study utilizing prospectively collected data was performed in an Italian intensive care unit, between 1 January 2012 and 30 April 2022 enrolling all consecutive patients with Acute Respiratory Distress Syndrome who underwent ECMO.

RESULTS

One hundred patients were included in this study. 67 patients (67%) developed pressure injuries during their intensive care unit stay, with a median of 2 (1-3) sites affected. The subgroup of patients with pressure injuries was more hypoxic before ECMO implementation, received more frequent continuous renal replacement therapy and prone positioning, and showed prolonged ECMO duration, intensive care unit and hospital length of stay compared to patients without pressure injuries. The logistic model demonstrated an independent association between the pO2/FiO2 ratio prior to ECMO initiation, the utilization of the prone positioning during ECMO, and the occurrence of pressure injuries.

CONCLUSIONS

The incidence of pressure injuries was elevated in patients with Adult Respiratory Distress Syndrome who received ECMO. The development of pressure injuries was found to be independently associated with hypoxemia before ECMO initiation and the utilization of prone positioning during ECMO.

IMPLICATIONS FOR CLINICAL PRACTICE

Patients who require ECMO for respiratory failure are at a high risk of developing pressure injuries. To ensure optimal outcomes during ECMO implementation and treatment, it is vital to implement preventive measures and to closely monitor skin health in at-risk areas.

Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation

Background

Numerous pressure injury prediction models have been developed using electronic health record data, yet hospital-acquired pressure injuries (HAPIs) are increasing, which demonstrates the critical challenge of implementing these models in routine care.

Objective

To help bridge the gap between development and implementation, we sought to create a model that was feasible, broadly applicable, dynamic, actionable, and rigorously validated and then compare its performance to usual care (ie, the Braden scale).

Methods

We extracted electronic health record data from 197,991 adult hospital admissions with 51 candidate features. For risk prediction and feature selection, we used logistic regression with a least absolute shrinkage and selection operator (LASSO) approach. To compare the model with usual care, we used the area under the receiver operating curve (AUC), Brier score, slope, intercept, and integrated calibration index. The model was validated using a temporally staggered cohort.

Results

A total of 5458 HAPIs were identified between January 2018 and July 2022. We determined 22 features were necessary to achieve a parsimonious and highly accurate model. The top 5 features included tracheostomy, edema, central line, first albumin measure, and age. Our model achieved higher discrimination than the Braden scale (AUC 0.897, 95% CI 0.893-0.901 vs AUC 0.798, 95% CI 0.791-0.803).

Conclusions

We developed and validated an accurate prediction model for HAPIs that surpassed the standard-of-care risk assessment and fulfilled necessary elements for implementation. Future work includes a pragmatic randomized trial to assess whether our model improves patient outcomes.

Everyday Prevention: The Impact of Daily Comprehensive Skin Assessments on Pressure Injury Healing in the General ICU

OBJECTIVE

To investigate the effect of daily versus weekly comprehensive skin assessments on wound healing status in patients with pressure injuries (PIs) treated in the general ICU.

METHODS

This quasi-experimental study was conducted at a foundation hospital from November 15, 2022, to March 15, 2023. The sample consisted of 193 patients with PIs who met the inclusion criteria. The Braden Scale, Nutritional Risk Scale 2002 (NRS-2002), and Pressure Ulcer Scale for Healing (PUSH) were used. The intervention group (n = 98) underwent comprehensive skin assessment every day, whereas the control group (n = 95) followed routine procedures. The study findings were reported according to TREND (Transparent Reporting of Evaluations with Non-randomized Designs) guidelines.

RESULTS

Patients were older adults, with a mean age of 70 ± 15.45 years in the intervention group and 71 ± 13.20 years in the control group. The mean NRS-2002 score was 3 ± 2.01 in the intervention group and 2 ± 1.38 in the control group. Medical device-related PI incidence was high in both groups (intervention: 36.8%, control: 24.5%). In the intervention (14.3%) and control (50%) groups, PIs developed mostly due to antiembolic stockings. Deep-tissue PIs were the most common (intervention: 56.8%, control: 62.2%). The last PUSH scores decreased in both groups. The difference between the PUSH scores of the intervention and control groups was statistically significant (P < .05).

CONCLUSIONS

The findings of this study demonstrate the critical role of daily comprehensive skin assessment in the healing process of PIs. Especially in ICUs, the study provides compelling evidence for the need to prioritize and implement regular skin assessments to prevent PIs and support the healing process.

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.

Aetiology, risk factors and treatment of typical and atypical pressure ulcers in patients with traumatic brain injury: A narrative review

Pressure ulcers are one of the leading complications in bedridden patients that result in multiple burdens on healthcare systems and patients (11 billion dollars/year). The prevalence of pressure ulcers in traumatic brain injury patients is 1.5-fold compared with the other bedridden patients. Moreover, critical traumatic brain injury patients who are admitted to the intensive care unit experience severe pressure ulcers and further complications. The motor/sensory disabilities and low supplementation and oxygenation to the pressured side were the main mechanisms of the typical pressure ulcers. Intellectual evaluation is the first essential step to prevent the development of pressure ulcers in high-risk patients. Till now, different scales, including Injury Scale Score and Braden Scale Score, have been provided to assess the pressure ulcer. Since low stages of pressure ulcers heal rapidly, traumatic brain injury patients require a periodical assessment to prevent further developments timely. Alongside different procedures provided to prevent and treat any pressure ulcer, traumatic brain injury patients required additional specific protections. For the first line, fast and efficient rehabilitation repairs motor/sensory disabilities and decreases the chance of pressure ulcer. Our review indicated that pressure ulcer in traumatic brain injury had several complex mechanisms that demand special care. Therefore, further studies are required to address these mechanisms and prevent their progression to typical and atypical pressure ulcers.

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.

Exploration of pressure injury risk in adult inpatients: An integrated Braden scale and rough set approach

OBJECTIVE

This study aimed to develop an interpretive model with decision rules to assess the risk level of pressure injuries in adult inpatients and identify the critical risk factors associated with these injuries.

METHODS

The rough set approach was used to identify the critical risk factors associated with pressure injuries and demonstrate their behavioral patterns. The study focused on adult inpatients aged 18 or above who remained in bed for at least 24 hours after admission. The data was extracted from a nursing electronic medical record system of a hospital in Zhejiang Province, China, from 27 October 2019 to 1 November 2020.

RESULTS

The critical risk factors associated with pressure injuries in adult inpatients were identified as "Sensory perception," "Nutrition," and "Friction and shear." A prediction model with 89 decision rules was established and demonstrated reliable predictive capabilities. Nursing staff should focus more on high-risk and severe-risk rules (Rules 11 to 18) to reduce the likelihood of potential high-risk pressure injuries.

CONCLUSIONS

The prediction model established by the rough set approach can be used to identify the critical risk factors of pressure injuries and has good explanatory ability, which can complement and improve the predictive accuracy of the Braden Scale. The decision-making rules can help nurses improve work efficiency.

IMPLICATIONS FOR CLINICAL PRACTICE

Explanatory analysis can explain most inpatients' potential risk patterns and corresponding critical risk factors. Data-driven research models and results can help nurses understand patients' potential risks better. Additionally, these insights can be valuable in nursing education, aiding new nurses in comprehending and addressing the potential risks patients face.

Retrospective investigation of pressure injury in COVID-19 patients followed on invasive mechanical ventilator support

AIM

In this study, we aimed to investigate pressure injury (PI) and its associated factors in COVID-19 patients receiving invasive mechanical ventilation (IMV).

METHODS

This was designed as a retrospective, descriptive and correlational study. In this study, there was no sample selection, and the data were collected by reviewing the files of 438 patients who had been followed up on IMV in the intensive care unit (ICU) with a diagnosis of COVID-19 between April 30, 2020, and April 30, 2022. The collected data were analyzed using descriptive statistics in the Statistical Package for the Social Sciences (SPSS) program.

RESULTS

A total of 305 pressure injuries occurred in 36.3% of 438 patients receiving IMV. It was found that the length of IMV stay of the patients accelerated the occurrence of PI and that the length of stay in the intensive care unit, albumin and hemoglobin levels, Braden Pressure Sore Risk Assessment Score, APACHE-II value, nutritional status, glutamine supplementation, and vasopressor use were found to be significantly correlated with the incidence of PI (p < 0.05).

CONCLUSIONS

Patients with COVID-19 who were followed up on IMV had a high incidence of PI, and prolonged ICU stays and intubations duration as well as low albumin and hemoglobin levels increased the occurrence of PI. Hence, it is recommended that the PI risk levels of COVID-19 patients followed up on IMV should be evaluated frequently and nursing interventions should be implemented according to the evaluations.

Factors associated with facial pressure injury in patients receiving non-invasive positive pressure ventilation mask: A retrospective case-control study

AIMS AND OBJECTIVES

This study aimed to investigate factors associated with facial pressure injury (FPI) in patients receiving non-invasive positive pressure ventilation (NIPPV) during hospitalisation in the intensive care unit (ICU) and to identify predictors of FPI.

BACKGROUND

Non-invasive positive pressure ventilation is a method of treating patients with acute and chronic respiratory failure. However, FPI may occur due to unsuitable nasal-oral NIPPV masks and discomfort in contact with the skin surface.

DESIGN

A retrospective case-control study.

METHODS

From January 2018 to October 2020, a total of 397 patients admitted to a national hospital in Taiwan were enrolled. Patients received NIPPV and routinely used under-mask prophylactic dressings during hospitalisation. Patients were divided into the non-FPI group (n = 357) and the FPI group (n = 40). Demographic, clinical characteristics, acute physiology and chronic health evaluation II scores, and Braden Scale scores were collected from medical records. Logistic regression analysis was performed to examine the contribution of each factor to the FPI, and odds ratios were reported. The STROBE checklist was used in this retrospective case-control study.

RESULTS

There were significant differences between the groups in age, serum albumin, C-reactive protein, body mass index (BMI), disease severity, Braden Scale score, length of stay, duration of mechanical ventilation and use of corticosteroids. Logistic regression analysis revealed that the risk factor for FPI was the Braden Scale score [OR = 1.630 (1.176-2.260)], BMI [OR = 0.396 (0.210-1.784)] and corticosteroids [OR = 0.394 (0.159-1.811)], which were predictors of FPI in patients with NIPPV.

CONCLUSIONS

Facial pressure injury may still occur in patients who routinely use prophylactic dressings under NIPPV masks. This study provides information on continuing education training for FPI to more accurately identify high-risk and timely preventive measures to reduce FPI.

RELEVANCE TO CLINICAL PRACTICE

Addressing FPI-related factors to prevent facial skin damage and reduce comorbidities in patients using NIPPV masks.

Prediction Pressure Ulcers in High Care Unit Patients: Evaluating Risk Factors and Predictive Scale Using a Prospective Cross-Sectional Study

Background  The incidence of ulcer pressure in the high care unit (HCU) was relatively high and could be reliably predicted using tools such as the Norton and Jackson/Cubbin scales. However, other risk factors, such as age, gender, consciousness, systemic condition, duration of treatment, and use of restraint, may contribute to the occurrence of ulcer pressure. This study was conducted to analyze the relationship of various risk factors for pressure ulcers and prediction of ulcer pressure, using Norton and Jackson/Cubbin scale, to incident pressure ulcers in HCU patient. Methods  This study utilized a prospective cross-sectional study design to analyze various risk factors for ulcer pressure development in a patient admitted to the HCU, including age, gender, blood profile, consciousness, duration of treatment, and use of restraint. The Norton and Jackson/Cubbin scale was employed to predict pressure ulcers. The relationship between the risk factors and the prediction of pressure ulcer incidents was evaluated using multiple logistic binary regression analysis. Result  Both the Norton and Jackson/Cubbin scales predicted a lower risk of pressure ulcer development (60.98 and 99.02%, respectively). This prediction is consistent with the low incidence of pressure injuries found, which is only 4.39%. Furthermore, the relationship between the identified risk factor (gender, duration of treatment in HCU and use of restraint) and the prediction and incident of pressure ulcer was not significant ( p  > 0.05). Thus, it is suggested that these risk factors may not strong predictors of pressure ulcer development. Conclusion  This study's result indicated no significant relationship exists between possible identified risk factors and the development of pressure ulcers in HCU patients. However, the Norton and Jackson/Cubbin scales were reliable predictors of pressure ulcer occurrence, with both scales predicting a lower risk of pressure ulcer development.

Incidence and risk factors of pressure injuries in critically ill patients with COVID-19

OBJECTIVE

to analyze pressure injury (PI) incidence and risk factors in patients with COVID-19 admitted to an Intensive Care Unit and characterize the identified PIs.

METHOD

a retrospective cohort study, consisting of 668 patients, carried out between March 2020 and February 2021. Clinical/demographic and PI variables were collected from medical records and electronic database. Data were analyzed using descriptive and inferential statistics. Logistic regression was performed to analyze risk factors for PI.

RESULTS

PI incidence was 30.2% (n=202), with the majority located in the sacral region (52.9%) and in stage 1 (39%). Risk factors were age (p<0.001), Diabetes Mellitus (p=0.005), length of stay (p<0.001), immunosuppression (p=0.034), nutritional risk (p=0.015) and mechanical ventilation (p<0.001).

CONCLUSION

PI incidence in critically ill patients with COVID-19 was high.

Construction of nursing-sensitive quality indicators for the care of patients with prone position ventilation using the Delphi method

BACKGROUND

Prone position ventilation (PPV) has gradually become an adjuvant treatment to improve oxygenation in patients with acute respiratory distress syndrome. Scientific and comprehensive evaluation of the quality of nursing care for patients with PPV is of great significance to ensure the effectiveness of treatment and patient safety. However, there are no established objective indicators for evaluating the quality of nursing care for patients with PPV. This study intended to identify a set of scientific, systematic and clinically applicable nursing-sensitive quality indicators for the care of patients with PPV.

METHODS

Based on the Donabedian structure-process-result theory model, the quality evaluation indicators of nursing care for patients with PPV were preliminarily constructed based on an evidence-based perspective, and two rounds of Delphi surveys were conducted with the purpose of collecting opinions from a panel of independent experts.

RESULTS

The questionnaire recovery rates of the two rounds of correspondence were 100.00% and 95.00%, the recovery rates of expert opinions were 80.00% and 26.32%, the expert authority coefficient values were 0.89, and the Kendall coordination coefficient W values were 0.110 and 0.133, respectively. The final nursing-sensitive quality indicators for the care of patients with PPV included 3 first-level indicators, 9 s-level indicators and 29 third-level indicators.

CONCLUSION

The constructed nursing-sensitive quality indicators for the care of patients with PPV involve quality supervision during the whole process of PPV from three dimensions: structure, process and results. These indicators have strong operability, reliability, practicability and scientificity and can provide a reference for the quality evaluation and monitoring of nursing care for patients with PPV.

IMPLICATIONS FOR NURSING MANAGEMENT

The quality indicators of nursing care for patients with PPV constructed in this research are scientific and reliable, and the content of the quality indicators can better reflect the technical characteristics of special nursing. Nursing managers are encouraged to use these quality indicators to evaluate the quality of clinical nursing care and improve safety for patients with PPV.

Associations Between Dysphagia and Adverse Health Outcomes in Older Adults with Dementia in Intensive Care Units: A Retrospective Cohort Study

BACKGROUND

Dysphagia is common in elderly patients with dementia and is one of the common clinical geriatric syndromes. It imposes a heavy burden on patients and their caregivers and is becoming an important public health problem. This study examined the association between dysphagia in older dementia patients in the ICU and the subsequent adverse health outcomes they experience.

PATIENTS AND METHODS

A retrospective analysis of adults (≥65 years) with dementia in ICUs of a Boston tertiary academic medical center was conducted. Using the International Classification of Diseases' Ninth and Tenth Revisions, dementia patients were identified. The study cohort comprised 1009 patients, median age 84.82 years, 56.6% female, predominantly White (72.9%). Patients were grouped based on swallowing function: dysphagia (n=282) and no-dysphagia (n=727). Dysphagia was identified via positive bedside swallowing screening. Primary outcomes were 90- and 180-day mortality, secondary outcomes included aspiration pneumonia, pressure injury, and delirium. Cohort characteristics were compared using the Wilcoxon rank-sum and chi-square tests. Dysphagia and outcomes correlations were examined via Kaplan-Meier survival analysis, Cox proportional-hazards regression models, logistic regression models, and subgroup analysis.

RESULTS

After adjusting for covariates, the results from multivariate Cox proportional-hazards regression indicated that dysphagia was significantly associated with increased 90-day (HR=1.36, 95% CI=1.07-1.73, E-value=1.78) and 180-day (HR=1.47, 95% CI=1.18-1.82, E-value=1.94) mortality; the multifactorial logistic regression results indicated that dysphagia was associated with significant increases in pressure injury (OR=1.58, 95% CI=1.11-2.23, E-value=1.83) and aspiration pneumonia occurrence (OR=4.04, 95% CI=2.72-6.01, E-value=7.54), but was not significantly associated with delirium prevalence (OR=1.27, 95% CI=0.93-1.74).

CONCLUSION

Dysphagia is likely to increase the risk of adverse health outcomes in older adults with dementia in ICU, and these adverse outcomes mostly include 90- and 180-day mortality, aspiration pneumonia, and pressure injury.

The PRINCOVID Retrospective Study: A Predictive Model of Pressure Injuries for Critical COVID-19 Patients

OBJECTIVE

The aim of the study is to characterize pressure injuries, identify risk factors, and develop a predictive model for pressure injuries at intensive care unit admission for critical COVID-19 patients.

DESIGN

This study was a retrospective analysis of a consecutive sample of patients admitted to intensive care unit between May 2020 and September 2021. Inclusion criteria encompassed the diagnosis of acute respiratory distress syndrome due to SARS-CoV-2, requiring invasive mechanical ventilation more than 48 hrs. The following predictors were evaluated: sociodemographic characteristics, comorbidities, as well as clinical and laboratory findings at intensive care unit admission. The primary outcome was the presence of pressure injuries.

RESULTS

Two hundred five patients were included, mostly males (73%) with a mean age of 62 yrs. Pressure injury prevalence was 58%. On multivariable analysis, male sex, hypertension, hemoglobin, and albumin at intensive care unit admission were independently associated with pressure injuries, constituting the PRINCOVID model. The model reached an area under the receiver operating characteristic curve of 0.71, surpassing the Braden scale ( P = 0.0015). The PRINCOVID score ranges from 0 to 15, with two risk groups: "at risk"(≤7 points) and "high risk"(>7 points).

CONCLUSIONS

This study proposes PRINCOVID as a multivariable model for developing pressure injuries in critical COVID-19 patients. Based on four parameters (sex, hypertension, hemoglobin, and albumin at intensive care unit admission), this model fairly predicts the development of pressure injuries. The PRINCOVID score allows patients' classification into two groups, facilitating early identification of high-risk patients.

Y. Risk factors for medical device-related pressure injury in ICU patients: A systematic review and meta-analysis

BACKGROUND

Medical device-related pressure injury (MDRPI) in intensive care unit (ICU) patients is a serious issue. We aimed to evaluate the risk factors for MDRPI associated with ICU patients through systematic review and meta-analysis, and provide insights into the clinical prevention of MDRPI.

METHODS

We searched PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), WanFang Database, and China BioMedical Literature Database (CBM) (from inception to January 2023) for studies that identified risk factors of MDRPI in ICU patients. In order to avoid the omission of relevant literature, we performed a secondary search of the above database on February 15, 2023. Meta-analysis was performed using Revman 5.3.

RESULTS

Fifteen studies involving 4850 participants were selected to analyze risk factors for MDRPI in ICU patients. While conducting a meta-analysis, we used sensitivity analysis to ensure the reliability of the results for cases with significant heterogeneity among studies. When the source of heterogeneity cannot be determined, we only described the risk factor. The risk factors for MDRPI in ICU patients were elder age (OR = 1.06, 95% CI: 1.03-1.10), diabetes mellitus (OR = 3.20, 95% CI: 1.96-5.21), edema (OR = 3.62, 95% CI: 2.31-5.67), lower Braden scale score (OR = 1.22, 95%CI: 1.11-1.33), higher SOFA score (OR = 4.21, 95%CI: 2.38-7.47), higher APACHE II score (OR = 1.38, 95%CI: 1.15-1.64), longer usage time of medical devices (OR = 1.11, 95%CI: 1.05-1.19), use of vasoconstrictors (OR = 6.07, 95%CI: 3.15-11.69), surgery (OR = 4.36, 95% CI: 2.07-9.15), prone position (OR = 24.71, 95% CI: 7.34-83.15), and prone position ventilation (OR = 17.51, 95% CI: 5.86-52.36). Furthermore, we found that ICU patients who used subglottic suction catheters had a higher risk of MDRPI, whereas ICU patients with higher hemoglobin and serum albumin levels had a lower risk of MDRPI.

CONCLUSION

This study reported the risk factors for MDRPI in ICU patients. A comprehensive analysis of these risk factors will help to prevent and optimize interventions, thereby minimizing the occurrence of MDRPI.

How experienced wound care nurses conceptualize what to do in pressure injury management

BACKGROUND

Conceptual understanding of the perceptions that wound care nurses use to determine how to manage pressure injuries may provide information for improving their pressure injury care competency. The aim of this study is to explore and describe the way wound care nurses experience and perceive pressure injury management.

METHODS

A qualitative, phenomenographic approach, a method designed to explore the different ways in which people comprehend a phenomenon and develop a practical knowledge-based framework, was used in this study. Semi-structured interviews were used for data collection with twenty wound care nurses. All participants were female with a mean age of 38.0, mean total clinical experience of 15.2 years and mean clinical experience as wound care nurse of 7.7 years. The eight steps of qualitative data analysis for a phenomenographic study were employed to develop an understanding of participants' experience of pressure injury management.

RESULTS

The analysis resulted in an assessment domain and an intervention domain, each containing three descriptive categories based on five identified conceptions. The categories were as follows: "comparison", "consideration", and "monitoring" in assessment, and "creation", "conversation" and "judgement" in intervention.

CONCLUSIONS

This study has created a framework for understanding pressure injury management based on practical knowledge. This framework of the nurses' pressure injury care reflected the need for an awareness of a harmonious approach to patients and wounds. There is a pattern of transcending a reliance on only theoretical knowledge, and this key factor in the framework should be considered when developing education programs and tools for improving nurse pressure injury care competency and patient safety.

An Integrated System of Braden Scale and Random Forest Using Real-Time Diagnoses to Predict When Hospital-Acquired Pressure Injuries (Bedsores) Occur

BACKGROUND AND OBJECTIVES

Bedsores/Pressure Injuries (PIs) are the second most common diagnosis in healthcare system billing records in the United States and account for 60,000 deaths annually. Hospital-Acquired Pressure Injuries (HAPIs) are one classification of PIs and indicate injuries that occurred while the patient was cared for within the hospital. Until now, all studies have predicted who will develop HAPI using classic machine algorithms, which provides incomplete information for the clinical team. Knowing who will develop HAPI does not help differentiate at which point those predicted patients will develop HAPIs; no studies have investigated when HAPI develops for predicted at-risk patients. This research aims to develop a hybrid system of Random Forest (RF) and Braden Scale to predict HAPI time by considering the changes in patients' diagnoses from admission until HAPI occurrence.

METHODS

Real-time diagnoses and risk factors were collected daily for 485 patients from admission until HAPI occurrence, which resulted in 4619 records. Then for each record, HAPI time was calculated from the day of diagnosis until HAPI occurrence. Recursive Feature Elimination (RFE) selected the best factors among the 60 factors. The dataset was separated into 80% training (10-fold cross-validation) and 20% testing. Grid Search (GS) with RF (GS-RF) was adopted to predict HAPI time using collected risk factors, including Braden Scale. Then, the proposed model was compared with the seven most common algorithms used to predict HAPI; each was replicated for 50 different experiments.

RESULTS

GS-RF achieved the best Area Under the Curve (AUC) (91.20 ± 0.26) and Geometric Mean (G-mean) (91.17 ± 0.26) compared to the seven algorithms. RFE selected 43 factors. The most dominant interactable risk factors in predicting HAPI time were visiting ICU during hospitalization, Braden subscales, BMI, Stimuli Anesthesia, patient refusal to change position, and another lab diagnosis.

CONCLUSION

Identifying when the patient is likely to develop HAPI can target early intervention when it is needed most and reduces unnecessary burden on patients and care teams when patients are at lower risk, which further individualizes the plan of care.

Assessment of the accuracy of the CALCULATE scale for pressure injury in critically ill patients

INTRODUCTION

Pressure injury is damage to the skin and underlying soft tissue that occurs in response to intense and/or prolonged skin pressure. The Braden scale is the most used in health services to assess pressure injury. However, this scale was not specifically developed for critically ill patients. The Critical Care Pressure Ulcer Assessment Tool Made Easy (CALCULATE) scale was developed for patients in intensive care units.

OBJECTIVE

The objective of this study was to compare the accuracy of the CALCULATE scale with that of Braden in predicting the risk of pressure injury in critically ill patients.

METHODS

This was a prospective cohort study, involving patients who did not have pressure injury on admission to the intensive care unit of a tertiary hospital in the city of Porto Alegre, Brazil. Data collection took place between January and July 2020 using the Braden and CALCULATE scales, in addition to clinical and sociodemographic variables. Patients were followed up until discharge from the intensive care unit or death.

RESULTS

Fifty-one patients were included in the study. Of these, 29 (56.9%) developed pressure injury. To predict pressure injury onset, the areas under the receiver operator characteristic curve of the Braden scale on the first day and the lowest score during the first 3 days were 0.71 (0.56-0.86) and 0.70 (0.53-0.87), respectively. The areas under the receiver operator characteristic curve of the CALCULATE scale on the first day and the highest score during the first 3 days were 0.91 (0.82-0.99) and 0.92 (0.85-1.00), respectively. In the logistic regression analysis, the CALCULATE scale on the first day remained an independent predictor of pressure injury onset after controlling for age and length of stay in the intensive care unit.

CONCLUSION

We found that the CALCULATE scale may be more accurate than the Braden scale as a tool to assess the risk of developing pressure injury in critically ill patients.

Feasibility of a repositioning schedule on pressure ulcer prevention in a French Intensive Care Unit: A pre and post-intervention pilot study

AIMS

As a prerequisite of a multicentre study, we conducted a pilot study to assess the feasibility of a daily repositioning schedule in critically ill patients. The schedule was adapted to the patient's clinical condition, and the estimated risk for developing a pressure ulcer using the Braden scale.

DESIGN

A single-center pre and post-intervention pilot study in a French Intensive Care Unit of a university teaching hospital. This study followed TREND guidelines.

METHODS

During the first period (March to May 2018), pressure ulcer prevention was performed according to usual care. During the second period (June to August 2018), the repositioning schedule was adapted to the estimated risk for developing a pressure ulcer according to the Braden scale. Eligible patients had no pressure ulcer at baseline, were intubated within 24 hours of admission and expected to receive mechanical ventilation for at least 24 hours. The primary outcome was the rate of pressure ulcer development at 28 days of hospitalization or at discharge or death, as compared with usual care. Secondary outcomes included the feasibility and safety of the schedule, as assessed by caregivers' adherence and workload, and the rate of adverse events.

RESULTS

In the pre-intervention period 20 participants were included, and 14 patients were included in the post-intervention period. There was no decrease in the pressure ulcers incidence with the intervention (25% vs. 28.6%; P = 1). The number of daily repositioning performed increased from 3.3 [IQR 3.0; 3.9] during the pre-intervention period to 4.3 [IQR 3.8; 5.2] during the post-intervention period (P < 0.05), where it differed from the number scheduled by 0.6 [IQR 0.1; 1.4] per day, indicating satisfactory adherence of caregivers to the protocol. Adverse events rate did not differ between the two periods (55.9% vs. 57.1%; P = 0.90).

CONCLUSION

A personalised daily repositioning schedule in critically ill patients is feasible and safe. The efficacy of such a strategy, together with its economic impact, need to be assessed in a multicentre randomized trial.

Characteristics and risk factors of nasal mucosal pressure injury in intensive care units

AIMS AND OBJECTIVES

This study aimed to understand the risk factors that contribute to medical device-related (MDR) nasal mucosal membrane pressure injuries (MM PI) in ICU patients.

BACKGROUND

ICU patients require substantial tube-based life support such as oxygen tubes, tracheal intubation and indwelling gastric tubes. As a result, there is an increased risk of PI occurrence; however, few studies have assessed the risk factors associated with nasal mucosal MDR-MMPI in ICU patients.

DESIGN

A cross-sectional study design was performed.

METHODS

From January 2019 to June 2020, data from 912 patients treated in the ICU of a tertiary first-class a hospital in China were collected. The occurrence of PI of the nasal mucosa was obtained by nasopharyngoscope when replacing the nasal catheter fixation patch every day. The study methods were followed by the STROBE guidelines.

RESULTS

The incidence of nasal mucosal MDR-MM PI was 10.9%. The degree of nasal mucosal MM PI was mainly grade 1 (62cases, 62.6%), and no grade 4 were observed. The columella (58 cases, 58.6%) was the most common site of nasal mucosal MM PI followed by the anterior septum (18 cases, 18.2%). A high patient APACHE-Ⅱ score, the disturbance of consciousness, a history of diabetes, days of gastric tube indwelling, hypoproteinemia, fever (T > 37.5℃) and the use of vasoconstrictors were identified as significant influencing factors of nasal MM PI in ICU patients (p < .05).

CONCLUSIONS

A high APACHE-Ⅱ score, disturbance of consciousness, history of diabetes, days of gastric tube indwelling, hypoproteinemia, fever (T > 37.5℃) and use of vasoconstrictive drugs were risk factors for nasal mucosal MDR-MM PI in ICU patients. This study informs on the risk factors of nasal mucosal MM PI that will allow medical support staff to carry out key interventional measures to prevent nasal mucosal MM PI.

RELEVANCE TO CLINICAL PRACTICE

This study illustrates the characteristics and risk factors of nasal mucosal pressure injury in intensive care units, potentially contributing to the prevention of the incidence of nasal mucosal MDR-PI in ICU patients.

Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review

Pressure Injuries (PI) are one of the most common health conditions in the United States. Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) has been utilized to manage patients with PI, in which one systematic review describes how ML is used in PI management in 32 studies. This research, different from the previous systematic review, summarizes the previous contributions of ML in PI from January 2007 to July 2022, categorizes the studies according to medical specialties, analyzes gaps, and identifies opportunities for future research directions. PRISMA guidelines were adopted using the four most common databases (PubMed, Web of Science, Scopus, and Science Direct) and other resources, which result in 90 eligible studies. The reviewed articles are divided into three categories based on PI time of occurrence: before occurrence (48%); at time of occurrence (16%); and after occurrence (36%). Each category is further broken down into sub-fields based on medical specialties, which result in sixteen specialties. Each specialty is analyzed in terms of methods, inputs, and outputs. The most relevant and potentially useful applications and methods in PI management are outlined and discussed. This includes deep learning techniques and hybrid models, integration of existing risk assessment tools with ML that leads to a partnership between provider assessment and patients' Electronic Health Records (EHR).

A Hybrid System of Braden Scale and Machine Learning to Predict Hospital-Acquired Pressure Injuries (Bedsores): A Retrospective Observational Cohort Study

Background: The Braden Scale is commonly used to determine Hospital-Acquired Pressure Injuries (HAPI). However, the volume of patients who are identified as being at risk stretches already limited resources, and caregivers are limited by the number of factors that can reasonably assess during patient care. In the last decade, machine learning techniques have been used to predict HAPI by utilizing related risk factors. Nevertheless, none of these studies consider the change in patient status from admission until discharge. Objectives: To develop an integrated system of Braden and machine learning to predict HAPI and assist with resource allocation for early interventions. The proposed approach captures the change in patients' risk by assessing factors three times across hospitalization. Design: Retrospective observational cohort study. Setting(s): This research was conducted at ChristianaCare hospital in Delaware, United States. Participants: Patients discharged between May 2020 and February 2022. Patients with HAPI were identified from Nursing documents (N = 15,889). Methods: Support Vector Machine (SVM) was adopted to predict patients' risk for developing HAPI using multiple risk factors in addition to Braden. Multiple performance metrics were used to compare the results of the integrated system versus Braden alone. Results: The HAPI rate is 3%. The integrated system achieved better sensitivity (74.29 ± 1.23) and detection prevalence (24.27 ± 0.16) than the Braden scale alone (sensitivity (66.90 ± 4.66) and detection prevalence (41.96 ± 1.35)). The most important risk factors to predict HAPI were Braden sub-factors, overall Braden, visiting ICU during hospitalization, and Glasgow coma score. Conclusions: The integrated system which combines SVM with Braden offers better performance than Braden and reduces the number of patients identified as at-risk. Furthermore, it allows for better allocation of resources to high-risk patients. It will result in cost savings and better utilization of resources. Relevance to clinical practice: The developed model provides an automated system to predict HAPI patients in real time and allows for ongoing intervention for patients identified as at-risk. Moreover, the integrated system is used to determine the number of nurses needed for early interventions. Reporting Method: EQUATOR guidelines (TRIPOD) were adopted in this research to develop the prediction model. Patient or Public Contribution: This research was based on a secondary analysis of patients' Electronic Health Records. The dataset was de-identified and patient identifiers were removed before processing and modeling.

Neuromuscular blocking agents and opioids are major risk factors for developing pressure injuries in patients in the intensive care unit

BACKGROUND/AIMS

Patients in the intensive care unit (ICU) are at high risk for developing pressure injuries, which can cause severe complications and even increase the mortality risk. Therefore, prevention of pressure injuries is most important. In this study, we investigated the risk factors of pressure injury development in patients admitted to the ICU.

METHODS

We retrospectively analyzed patients ages &gt; 18 years admitted to the medical ICU in a tertiary hospital between January and December 2019. We collected patient baseline characteristics, medications received, mechanical ventilation or hemodialysis use, laboratory findings, and date of pressure injury onset and characteristics.

RESULTS

We analyzed 666 patients who did not have pressure injuries at ICU admission. Pressure injuries developed in 102 patients (15%). The risk of pressure injury development increased as the administration days for neuromuscular blocking agents (NMBAs; odds ratio [OR], 1.138; p = 0.019) and opioids (OR, 1.084; p = 0.028) increased, and if the patient had problem with friction and shear (OR, 2.203; p = 0.011).

CONCLUSION

The prolonged use of NMBAs and opioids can increase the risk of pressure injury development. Because these medications are associated with immobilization, using both should be minimized and patient early mobilization should be promoted. Among the Braden subscales, "friction and shear" was associated with the development of pressure injuries in ICU patients.

Deep sedation predicts pressure injury in patients admitted to intensive care units

BACKGROUND

Patients in intensive care units (ICU) are frequently prescribed sedatives, which might increase the risk for pressure injury (PI). Although the association between sedation and incidence of PI has been noted, the adequate sedation level to prevent the incidence of PI in patients admitted to ICU is still unclear.

AIM

This study aimed to investigate the association between fluctuating sedation levels and the incidence of PI in patients admitted to ICU.

STUDY DESIGN

We retrospectively reviewed the medical records of 104 patients admitted to ICU. Data regarding the length of ICU stay (LOS) and comorbid infection were abstracted from medical records. The Richmond Agitation-Sedation Scale (RASS) was scored twice per day, and the standardized RASS (S-RASS, summation of RASS values divided by the number of samples) was used to evaluate changes in sedation levels.

RESULTS

Among the 104 included patients, 65 patients (62.5%) were male (median age: 68.0 years), and 13 patients (12.5%) had PI during ICU admission. S-RASS scores were lower in patients with PI than in those without PI (P = .0001) even after adjustment for confounders (OR [95%CI]: 0.14 [0.03-0.58], P = .006). The LOS and infections were higher in patients with PI than in those without PI (P < .0001 and P = .005, respectively). The cut-off value of S-RASS for PI incidence was -3.2 (sensitivity: 88%; specificity: 85%), and a significant predictor of PI incidence (HR [95%CI]: 20.07 [2.53-159.11], P = .005).

CONCLUSIONS

Deeper sedation levels based on S-RASS scores, which account for the effects of fluctuating sedation levels, were a strong, highly accurate predictor of PI incidence in patients admitted to ICU.

RELEVANCE TO CLINICAL PRACTICE

Assessing fluctuations in the level of sedation using the S-RASS might help to identify sedative-induced PI in patients admitted to ICU.

Factors Associated with Pressure Injury Among Critically Ill Patients in a Coronary Care Unit

OBJECTIVE

To ascertain the incidence of pressure injuries (PIs) in patients in the coronary care unit (CCU), identify PI characteristics, and determine associated risk factors.

METHODS

Researchers conducted a retrospective investigational study of patients' medical records. A total of 820 patients who were admitted to the CCU between January 2018 and December 2020 met the study criteria. Of these, 200 patients who developed PIs after admission to the CCU were included in this study. This study examined the clinical features of PIs, as well as five PI risk factors: patient characteristics; length of stay; intrinsic factors; care factors, including medical devices; and vasopressor agents.

RESULTS

The incidence of PIs among patients in the CCU was 24.4%. At initial detection, 79.5% of these injuries were already at stage 2 or higher. The results indicated a significant correlation between PI stage and hemoglobin level. Moreover, the authors also found relationships between the use of medical devices (eg, arterial catheters, oxygen tubes, and Levin tubes) and PI onset.

CONCLUSIONS

Critically ill patients in the CCU use various medical devices for an extended period with severe consequences. The risk factors affecting PI are multifactorial. Therefore, the implementation of PI prevention and early detection strategies for patients in the CCU are crucial.

Factors associated with the incidence of pressure wounds in critical patients: a cohort study

OBJECTIVES

to identify the incidence of pressure wound in critical patients and its associated factors.

METHODS

retrospective cohort study, based on the analysis of 369 critical patients' records. Descriptive and inferential statistics were used, as well as logistic regression.

RESULTS

the incidence of pressure wounds was 11.4%. Patients who had been hospitalized for four days or more (OR 2.99; CI95% 1.15-7.78), used nasoenteric tubes (OR: 3.81; CI95%: 1.4010.38), vesical drainage catheters (OR: 4.78; CI95%: 1.31-17.38) and tracheostomy (OR: 3.64; CI95%: 1.48-8.97) had a higher chance of developing pressure wounds. The mean score of the Braden scale among participants who developed (14.2 points) pressure wounds was statistically different (p<0.001) than that of those who did not (12.3 points).

CONCLUSIONS

the incidence of pressure wounds was associated with a higher time in the unit, the use of nasoenteric tubes, vesical drainage catheters, and tracheostomies were associated with a higher time of hospitalization in the unit.

Braden scale for predicting pneumonia after spontaneous intracerebral hemorrhage

OBJECTIVE

Stroke-associated pneumonia is an infection that commonly occurs in patients with spontaneous intracerebral hemorrhage and causes serious burdens. In this study, we evaluated the validity of the Braden scale for predicting stroke-associated pneumonia after spontaneous intracerebral hemorrhage.

METHODS

Patients with spontaneous intracerebral hemorrhage were retrospectively included and divided into pneumonia and no pneumonia groups. The admission clinical characteristics and Braden scale scores at 24 h after admission were collected and compared between the two groups. Receiver operating characteristic curve analysis was performed to assess the predictive validity of the Braden scale. Multivariable analysis was conducted to identify the independent risk factors associated with pneumonia after intracerebral hemorrhage.

RESULTS

A total of 629 intracerebral hemorrhage patients were included, 150 (23.8%) of whom developed stroke-associated pneumonia. Significant differences were found in age and fasting blood glucose levels between the two groups. The mean score on the Braden scale in the pneumonia group was 14.1±2.4, which was significantly lower than that in the no pneumonia group (16.5±2.6), p<0.001. The area under the curve for the Braden scale for the prediction of pneumonia after intracerebral hemorrhage was 0.760 (95%CI 0.717-0.804). When the cutoff point was 15 points, the sensitivity was 74.3%, the specificity was 64.7%, the accuracy was 72.0%, and the Youden's index was 39.0%. Multivariable analysis showed that a lower Braden scale score (OR 0.696; 95%CI 0.631-0.768; p<0.001) was an independent risk factor associated with stroke-associated pneumonia after intracerebral hemorrhage.

CONCLUSION

The Braden scale, with a cutoff point of 15 points, is moderately valid for predicting stroke-associated pneumonia after spontaneous intracerebral hemorrhage.

Improving Pressure Injury Prevention by Using Wearable Sensors to Cue Critical Care Patient Repositioning

BACKGROUND

Repositioning patients at regular intervals is the standard of care for pressure injury prevention, yet compliance with routine repositioning schedules can be hard to achieve in busy critical care environments. Cueing technology may help improve repositioning compliance.

OBJECTIVE

To determine whether using wearable patient sensors to cue nurses about patients' repositioning needs could improve compliance with an every-2-hour repositioning protocol.

METHODS

A sequential pretest-posttest study design was used in a 12-bed medical intensive care unit. The study occurred in 2 phases. In phase 1, eligible patients wore a triaxial accelerometer-based sensor; nurses were blinded to the data. In phase 2, the sensor technology provided staff with visual cues about patients' positions and repositioning needs. The primary measure was repositioning protocol compliance, which was compared between phase 1 and phase 2 with weighted t tests. Unit staff members were surveyed before the start of phase 1 and at the end of phase 2.

RESULTS

In phase 1, 25 patients met the inclusion criteria. Phase 2 began 1 day after phase 1 and included 29 patients. In phase 1, repositioning compliance was 55%, and the mean repositioning interval was 3.8 hours. In phase 2, repositioning protocol compliance increased to 89%, and the mean repositioning interval was 2.3 hours. Nursing staff survey results showed improved teamwork in phase 2.

CONCLUSION

Visual cueing about patients' mobility needs is associated with increased compliance with the facility repositioning protocol.

Pressure Injury Risk Assessment and Prevention in Patients With COVID-19 in the Intensive Care Unit

BACKGROUND

Patients critically ill with COVID-19 are at risk for hospital-acquired pressure injury, including device-related pressure injury.

METHODS

Braden Scale predictive validity was compared between patients with and without COVID-19, and a logistic regression model was developed to identify risk factors for device-related pressure injury.

RESULTS

A total of 1920 patients were included in the study sample, including 407 with COVID-19. Among the latter group, at least 1 hospital-acquired pressure injury developed in each of 120 patients (29%); of those, device-related pressure injury developed in 55 patients (46%). The Braden Scale score area under the receiver operating characteristic curve was 0.72 in patients without COVID-19 and 0.71 in patients with COVID-19, indicating fair to poor discrimination.

CONCLUSIONS

Fragile skin and prone positioning during mechanical ventilatory support were risk factors for device-related pressure injury. Clinicians may consider incorporating factors not included in the Braden Scale (eg, oxygenation and perfusion) in routine risk assessment and should maintain vigilance in their efforts to protect patients with COVID-19 from device-related pressure injury.

Braden Skin Score Subdomains Predict Mortality Among Cardiac Intensive Care Patients

BACKGROUND

The Braden Skin Score (BSS) is a bedside nursing assessment that may be a measure of frailty and predicts mortality among patients in the cardiac intensive care unit (CICU). We examined the association between each of the 6 individual BSS subscores with hospital mortality in patients in the CICU. We hypothesized that BSS subscores reflecting patient frailty would have a stronger association with outcomes.

METHODS

Retrospective cohort study of unique adult patients admitted to the Mayo Clinic CICU from 2007 to 2018 with BSS documented on admission. Primary outcome was all-cause hospital mortality. Odds ratios (ORs) were determined using multivariable logistic regression.

RESULTS

The 11,954 included patients had a mean age of 67.4 ± 15.2 years (37.8% women). Each individual BSS subscore was lower among patients who died in the hospital (all P < .001). The total BSS was inversely associated with in-hospital mortality across admission diagnoses and among patients with coma or mechanical ventilation; each individual subscore was inversely associated with in-hospital mortality. On multivariable regression, all subscores were inversely associated with hospital mortality after full adjustment. Shear had the strongest association (adjusted OR 0.59), followed by nutrition (adjusted OR 0.67), skin moisture (adjusted OR 0.76), mobility (adjusted OR 0.76), sensory perception (adjusted OR 0.82), and activity level (adjusted OR 0.85).

CONCLUSION

BSS can serve as a rapid noninvasive screening tool for identifying poor outcomes in patients in the CICU. BSS subdomains that are more strongly associated with mortality appear to reflect physical frailty. Insofar as the BSS and its subscores measure frailty, a low BSS may identify frail patients.

The efficacy of continuing nursing interventions on intraoperative pressure ulcer-related complications in breast cancer patients: systematic review and meta-analysis

BACKGROUND

This study systematically reviewed the effects of continuous nursing intervention on intraoperative pressure ulcers (PUs) and related complications in breast cancer patients. The effectiveness of continuous nursing intervention for intraoperative pressure ulcers related complications in breast cancer patients is highly controversial. Therefore, it is necessary to systematically review and address this issue by means of meta-analysis.

METHODS

By searching the Cochrane Library, PubMed, Web of Science, Embase, and Chinese Biomedical Literature Database (CBM) were screened. Quality evaluation and data extraction were performed for the included studies, and meta-analysis was performed for the included RCTs using Review Manager 5.2 software. Literature was included in strict compliance with the PICOS principle, and bias risk was analyzed by t-test and funnel plot.

RESULTS

A total of 1,431 patients were enrolled in 9 studies, and meta-analysis showed that there was a significant statistical difference between the experimental group and the control group in the incidence of PUs [odds ratio (OR) =0.18, 95% confidence interval (95% CI): 0.13-0.24, P<0.00001], the Braden pressure ulcer risk score after nursing [mean difference (MD) =2.64, 95% CI: 1.47-3.81, P<0.0001], and the quality of life after nursing (MD =9.76, 95% CI: 6.82-12.69, P<0.00001).

DISCUSSION

Continuous care can reduce the incidence of PUs in patients with advanced breast cancer, reduce the severity of wounds in the healing process of PUs, and improve the knowledge of PUs in patients with advanced breast cancer risk.

Risk factors for hospital-acquired and community-acquired pressure injuries: a multicentre mixed case-control study

OBJECTIVES

To separately examine and comprehensively compare the risk factors for hospital-acquired (HAPIs) and community-acquired pressure injuries (CAPIs).

DESIGN

A mixed case-control study.

SETTING

Four medical centres in China.

PARTICIPANTS

Inclusion criteria included patients who were (1) aged ≥18 years on admission; (2) admitted between January 2014 and December 2018, and (3) diagnosed with HAPIs (cases) or with no HAPIs (controls) during hospitalisation in the HAPIs study, and confirmed with CAPIs (cases) or with no PIs (controls) on admission in the CAPIs study. The exclusion criteria were as follows: (1) admitted for childbirth, psychiatric reasons or rehabilitation; (2) admitted for observation; (3) transferred from another hospital and (4) confirmed to have suffered PIs from previous hospitalisations in the CAPIs study. In total, 320 cases and 1657 controls were included in the HAPIs study, and 1763 cases and 1786 controls were included in the CAPIs study.

PRIMARY AND SECONDARY OUTCOME MEASURES

The outcome variable was the occurrence of PIs.

RESULTS

The existence of PIs or scars from previous PIs on admission, presence of forced posture, use of medical devices and surgery during hospitalisation were found to be independent risk factors for HAPIs, as evidenced by the corresponding OR and 95% CI values of 51.931 (34.241 to 78.763), 2.006 (1.405 to 2.864), 3.226 (1.709 to 6.089) and 2.161 (1.452 to 3.215), respectively. Age, sex, Braden rating and diabetes were found to be independent risk factors for CAPIs, as evidenced by the corresponding OR and 95% CI values of 1.031 (1.026 to 1.036), 0.810 (0.698 to 0.941), 1.235 (1.167 to 1.307) and 2.059 (1.332 to 3.184), respectively.

CONCLUSIONS

The existence of PIs or scars from previous PIs on admission, presence of forced posture, use of medical devices and surgery during hospitalisation are suggested to be included as independent items for the risk assessment of PIs, together with the Braden scale. The Braden rating plays different roles in the development of CAPIs and HAPIs.

Risk factors for pressure ulcers in adult patients: A meta-analysis on sociodemographic factors and the Braden scale

AIMS AND OBJECTIVES

Providing the first meta-analysis of risk factors for pressure ulcer development in adult patients.

BACKGROUND

Pressure ulcers remain a serious health complication for patients and nursing staff. However, there is a lack of statistical evidence for risk factors as previous research did not include any quantitative synthesis.

DESIGN

Meta-analysis, using PRISMA guidelines.

METHODS

Studies from PubMed, Embase, CINAHL Complete, Web of Science, Cochrane Library, and other reviews and sources were screened and checked against the inclusion criteria. The risk of bias was evaluated using a slightly modified QUIPS tool. Data regarding population, design, statistical analysis and risk factors were extracted. Meta-analysis with comparable studies was conducted for age, sex, and Braden scale. The sub-group analysis was used to account for heterogeneity.

RESULTS

28 studies with 570,162 patients were entered in meta-analysis. Older age and a low total Braden scale score increased the risk for pressure ulcers. All subscales excluding 'moisture' reached significance in meta-analysis based only on few studies, however, limiting overall evidence. Male sex achieved mixed results, too.

CONCLUSION

The first meta-analytic analysis shows evidence for age and Braden scale as risk factors for pressure ulcer development. Limitations regarding study quality and heterogeneity must be considered, highlighting the need for unifying certain conditions in risk factor research.

RELEVANCE TO CLINICAL PRACTICE

Patients at risk for new pressure ulcers can be identified by their total Braden score and age, whereas the latter is also connected to deeper pressure ulcers. Nurses and health personnel should pay great attention to patients in older age and undergo specific training to utilise and evaluate the Braden scale effectively, if necessary.

The prevention of pressure injuries in the positioning and mobilization of patients in the ICU: a good clinical practice document by the Italian Society of Anesthesia, Analgesia, Resuscitation and Intensive Care (SIAARTI)

BACKGROUND

The aim of this document is to support clinical decision-making concerning positioning and mobilization of the critically ill patient in the early identification and resolution of risk factors (primary prevention) and in the early recognition of those most at risk (secondary prevention). The addresses of this document are physicians, nurses, physiotherapists, and other professionals involved in patient positioning in the intensive care unit (ICU).

METHODS

A consensus pathway was followed using the Nominal Focus Group and the Delphi Technique, integrating a phase of focused group discussion online and with a pre-coded guide to an individual phase. A multidisciplinary advisory board composed by nine experts on the topic contributed to both the phases of the process, to reach a consensus on four clinical questions positioning and mobilization of the critically ill patient.

RESULTS

The topics addressed by the clinical questions were the risks associated with obligatory positioning and therapeutic positions, the effective interventions in preventing pressure injuries, the appropriate instruments for screening for pressure injuries in the ICU, and the cost-effectiveness of preventive interventions relating to ICU positioning. A total of 27 statements addressing these clinical questions were produced by the panel. Among the statements, nine provided guidance on how to manage safely some specific patients' positions, including the prone position; five suggested specific screening tools and patients' factors to consider when assessing the individual risk of developing pressure injuries; five gave indications on mobilization and repositioning; and eight focused on the use of devices, such as positioners and preventive dressings.

CONCLUSIONS

The statements may represent a practical guidance for a broad public of healthcare professionals involved in the management of critically ill patients.

Development and validation of a machine learning algorithm-based risk prediction model of pressure injury in the intensive care unit

The study aimed to establish a machine learning-based scoring nomogram for early recognition of likely pressure injuries in an intensive care unit (ICU) using large-scale clinical data. A retrospective cohort study design was employed to develop and validate a top-performing clinical feature panel accessibly in the electronic medical records (EMRs), which was in the mode of a quantifiable nomogram. Clinical factors regarding demographics, admission cause, clinical laboratory index, medical history and nursing scales were extracted as risk candidates. The performance improvement was based on the application of the machine learning technique, comprising logistic regression, decision tree and random forest algorithm with five-fold cross-validation (CV) technique. The comprehensive assessment of sensitivity, specificity and the area under the receiver operating characteristic curve (AUROC) was considered in the evaluation of predictive performance. The receiver operating characteristic curves revealed the top performance for the logistic regression model in respect to machine learning improvement, achieving the highest sensitivity and AUC among three types of classifiers. Compared against the 23-point Braden scale routinely recorded online, an incorporated nomogram of logistic regression model and Braden scale achieved the best performance with an AUC of 0.87 ± 0.07 and 0.84 ± 0.05 in training and test cohort, respectively. Our findings suggest that the machine learning technique potentiated the limited predictive validity of routinely recorded clinical data on pressure injury development during ICU hospitalisation. Easily accessible electronic records held the potentials to substitute the traditional Braden score in the prediction of pressure injury in intensive care unit. Preoperative prediction of pressure injury facilitates the exemption from the severe consequences.

Fatores associados à incidência de lesão por pressão em pacientes críticos: estudo de coorte

RESUMO Objetivos: identificar a incidência de lesão por pressão em pacientes críticos e os fatores associados à sua ocorrência. Métodos: estudo de coorte retrospectiva, baseando-se na análise dos prontuários de 369 pacientes críticos. Utilizou-se estatística descritiva e inferencial, com regressão logística. Resultados: a incidência de lesão por pressão foi de 11,4%. Pacientes com internação por mais de quatro dias (OR 2,99; IC95% 1,15-7,78), em uso de cateter nasoentérico (OR: 3,81; IC95%: 1,4010,38), cateter vesical de demora (OR: 4,78; IC95%: 1,31-17,38) e traqueostomia (OR: 3,64; IC95%: 1,48-8,97) apresentaram maior chance de desenvolver lesão por pressão. A pontuação média da escala de Braden entre os pacientes que desenvolveram (14,2 pontos) ou não (12,3 pontos) lesão por pressão foi estatisticamente diferente (p<0,001). Conclusões: a incidência de lesão por pressão esteve associada ao maior tempo de permanência na unidade, utilização de cateter nasoentérico, cateter vesical de demora e traqueostomia.

Skin Failure Among Critically Ill Patients Afflicted with Coronavirus Disease 2019 (COVID-19)

Objective: To characterize skin integrity among coronavirus disease 2019 (COVID-19) patients treated in the intensive care unit (ICU), and identify risk factors for skin failure (SF) in these patients. Design: The characteristic, profound pro-inflammatory, hypercoagulable state of COVID-19 is manifested by the high severity of illness and extensive organ dysfunction observed in these patients. SF in critically ill patients, although described previously, exhibits a uniquely complex pathogenesis in this population. Patients: Retrospective review of all COVID-19 patients (confirmed positive for severe acute respiratory syndrome coronavirus-2 [SARS-CoV-2]) admitted to a single surgical ICU for at least 48 hours between March-June 2020. Interventions: Data were extracted from a COVID-19 institutional data repository that harvested data from electronic health records and other clinical data sources. Demographics; coagulation/inflammation biomarkers; number, location, and stage of SF lesions; resource utilization; and outcomes were captured. Measurements and Main Results: 64 patients met inclusion criteria; 51 (80%) developed SF (SF+ ). Forty-three (85%) developed stage 3 or higher SF (χ²  =  22.66, P < .0001). Thirty-nine of 51 (76%) SF+ patients developed more than one SF lesion (χ²  =  13.26, P  =  .0003). SF+ patients manifested a profound pro-inflammatory, hypercoagulable phenotype (lower serum albumin and higher ferritin, interleukin [IL]-6 and D-dimer concentrations [all, P < .001]). Durations of mechanical ventilation, vasopressor therapy, and ICU length of stay were significantly longer (all, P < .05) in the SF + patients. Conclusions: The unique characteristics of COVID-19 dermatopathology and the strong correlation between markers of inflammation and development of SF reflect COVID-19-related organ dysfunction and its deleterious effects on the microcirculation. Considering that skin is invaded directly by SARS-CoV-2 and affected by COVID-19-related immune complex deposition and microthrombosis, SF may reflect disease as opposed to pressure injuries related to processes of care. In the context of COVID-19 critical illness, SF should not be considered a "never event."

A nomogram prediction of pressure injury in critical ill patients: A retrospective cohort study

Pressure injury (PI) is still a significant public health problem to be solved. Accurate prediction can lead to timely prophylaxis and therapy. However, the currently used Braden score shows insufficient predictive validity. We aimed to develop a nomogram to predict PI development in critically ill patients. We extracted data from Medical Information Mart for Intensive Care-IV v1.0. Variable selection was based on univariate logistic regression and all-subset regression. The area under the receiver operating characteristic curve (AUC) was used to assess the performance of the nomogram and Braden score. Decision curve analysis (DCA) was performed to identify and compare the clinical usefulness between the nomogram model and Braden score. We have developed a novel and practical nomogram that accurately predicts pressure ulcers. The AUC of the new model was better than that of the Braden score (P < .001). DCA showed that the nomogram model had a better net benefit than the Braden score at any given threshold. This finding needs to be confirmed by external validation as well as multicentre prospective studies.

Risk factors of medical device-related pressure injury in intensive care units

OBJECTIVES

Intensive care unit (ICU) patients are at high risk of medical device related pressure injury (MDRPI). This study aims to ascertain the MDRPI prevalence in ICU patients and analyse the risk factors of MDRPI.

BACKGROUND

The occurrence of MDRPI not only increases hospitalisation time with pain and economic burden, but also causes medical disputes. A better understanding of this condition will increase knowledge and facilitate the ability to recognise and prevent MDRPI for clinical nursing staff. However, there are few multicentre studies of MDRPI prevalence in ICU patients in China.

DESIGN

A cross-sectional study design was employed.

METHODS

Data from 694 patients in 66 adult ICU at 30 hospitals in China were included between October 2018 and March 2019. The stage of each MDRPI was determined according to the definitions of National Pressure Ulcer Advisory Panel. The study methods were followed by the STORBE guidelines.

RESULTS

The overall prevalence rate of MDRPI was 13.1% (91/694), with 98 anatomic locations in total. The most common stages of MDRPI were stage 1 (54.1%, 53/98), stage 2 (15.3%, 15/98) and mucosal membrane pressure injury (15.3%, 15/98). MDRPI mainly occurred in the finger (32.7%, 32/98), followed by nose (18.4%, 18/98). The prevalence rate of MDRPI caused by CPAP or BiPAP masks (25%) was highest. Lower Braden scores and having skin oedema were risk factors for MDRPI in adult ICU patients.

CONCLUSION

The prevalence of MDRPI in this study was still high. Nurses should take these related factors into consideration when taking care of ICU patients, and appropriate prevention measures should be adopted to decrease the prevalence of MDRPI.

RELEVANCE TO CLINICAL PRACTICE

The study can help to improve the PI prevention efforts in ICU patients specific to medical device related PI.

Pressure injury prevalence and risk factors in Chinese adult intensive care units: A multi-centre prospective point prevalence study

Despite increasing preventive efforts, pressure injury still occurs in intensive care patients. This study was aimed to describe pressure injury prevalence, risk factors, and prevention practices in adult intensive care patients. This was a multi-centre, one-day, prospective point prevalence study in which a total of 198 intensive care units from 21 provinces in China participated. Overall and ICU-acquired prevalence in intensive care patients were 12.26% and 4.31%, respectively. Consistent with earlier reports, almost half of the ICU-acquired pressure injuries were at stage I, one-fourth were at stage 2, and the most common body sites for pressure injuries were sacral and heel region. Risk factors identified were consistent with prior studies. Repositioning was the most commonly used pressure injury prevention strategy, followed by alternating pressure mattresses/overlays, floating heels, and air-filled mattresses/overlays. These reflect a good level of adherence to recommended international pressure injury prevention clinical practice guidelines. The results provide a baseline reference for overall and ICU-acquired prevalence among adult intensive care patients in China. Future research on what contributed to the lower pressure injury incidence in China needs to be conducted to inform healthcare organisations on their future preventive strategies for pressure injury prevention.

Frequency and risk factors of pressure injuries in clinical settings of affiliated to Tabriz University of Medical Sciences

AIM

Pressure injuries are considered a common and costly problem in the care of patients. Prevention and identification of risk factors for pressure injuries are very important due to the high cost of treatment and the adverse consequences of pressure injuries. This study aimed to assess the prevalence of pressure injuries and its risk factors in clinical settings of affiliated to Tabriz University of Medical Sciences.

DESIGN

A descriptive-analytical study.

METHODS

This study was performed on 200 patients who were selected by random sampling. The data collection tool was a 3-part questionnaire. Data were analysed using a t test, chi-square, Fisher's exact test and logistic regression in SPSS v. 24.

RESULTS

The mean age of the participants was 51.93 (SD 14.99) years. The rate of pressure injuries in this study was 19.5%. The most susceptible area for pressure injuries were sacral (35.89%) and gluteal (20.51%), respectively. The pressure injuries was significantly associated with Braden's criteria, age, disease diagnosis and length of hospital stay (p < .05). But there was no statistically significant difference between sex and incidence of pressure injuries (p > .05).