Braden scale for pressure ulcer risk predicts rehabilitation placement after pancreatic resection

Association Between Geriatric Nutritional Risk Index and Critically Ill Patients With Pressure Injury: Analysis of the MIMIC-IV Database

AIMS AND OBJECTIVES

To explore the relationship between the Geriatric Nutritional Risk Index (GNRI) and the occurrence of Pressure injury (PI) in elderly Intensive Care Unit (ICU) patients.

BACKGROUND

PI represent a significant health concern within ICU, where the occurrence of such injuries is notably high among critically ill patients. However, few studies have explored the relationship between GNRI and PI.

DESIGN

A longitudinal, single-centre, retrospective study.

METHODS

The study utilised GNRI calculation to identify PI occurrences. A comprehensive set of covariates was analysed, including demographic information, severity of illness scores, comorbidities, therapeutic interventions, vital signs and laboratory values. Statistical analysis involved descriptive statistics, logistic regression and receiver operating characteristic curves, supplemented by a doubly robust estimation method and propensity score modelling. This study follows the STROBE-nut checklist.

RESULTS

Among 5327 critically ill patients enrolled in the study, with a median age of 76 years, of which 2339 were females, representing 43.91% of the total study population. Binary logistic regression analysis revealed that with each unit increase in the GNRI, the likelihood of PI occurrence decreased by 3.7% in the fully adjusted model. Furthermore, there was a significant decrease in PI occurrence among patients deemed to have no risk compared to those identified as at-risk.

CONCLUSIONS

GNRI emerges as a significant, independent predictor of PI risk in elderly ICU patients, underscoring the importance of nutritional assessment and management in this population.

RELEVANCE TO CLINICAL PRACTICE

This study highlights the critical importance of nutritional assessment, specifically through GNRI, in early identification and prevention of pressure injuries among elderly ICU patients, underscoring the need for integrated nutritional strategies in clinical settings.

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.

Assessing the Risk of Delirium and Death in Sepsis Using the Braden Score: A Retrospective Study

AIMS AND OBJECTIVES

To provide a viable tool for the early clinical identification of high-risk populations in patients with sepsis.

BACKGROUND

Sepsis-associated delirium (SAD) has the potential to significantly impact the short- and long-term prognosis of patients. However, accurately predicting and effectively managing SAD remains a significant challenge.

METHODS

This study employed a retrospective analysis of adult sepsis patients admitted to the intensive care unit (ICU) for the first time. Patients were divided into two groups based on their initial Braden score upon admission to the ICU: a high-risk group (≤ 15 points) and a low-risk group (> 15 points). The relationship between Braden score and delirium was assessed using logistic regression and restricted cubic splines, while restricted mean survival time was employed to analyse the relationship between Braden scores and patients' 90- and 180-day mortality.

RESULTS

Of the 28,312 patients included in the study, those in the high-risk group exhibited a significantly elevated risk of delirium (44.8% vs. 29.7%) and higher 90-day (28.7% vs. 19.4%) and 180-day (33.2% vs. 24.1%) mortality rates (all p < 0.001). After adjusting for confounding variables, logistic regression demonstrated that the risk of delirium was 1.54 times higher in the high-risk group (95% CI = 1.45-1.64, p < 0.001). Following propensity score matching, the difference in survival was statistically significant at both time points, with the high-risk group having a reduced survival rate of 7.50 days (95% CI = -8.24, -6.75; p < 0.001) and 15.74 days (95% CI = -17.40, -14.08; p < 0.001) at 90 days and 180 days, respectively.

CONCLUSIONS

The Braden score is a simple and effective tool for the early identification of patients at increased risk of adverse outcomes in sepsis.

DESIGN

Retrospective study.

RELEVANCE TO CLINICAL PRACTICE

The Braden score can be employed by clinical nurses for the purpose of early identification of poor prognostic risk in patients with sepsis.

REPORTING METHOD

This study was conducted according to the Strengthening Research in Observational Studies in Epidemiology (STROBE) guidelines.

PATIENT OR PUBLIC CONTRIBUTION

Patients were involved in the sample of the study.

ICU admission Braden score independently predicts delirium in critically ill patients with ischemic stroke

BACKGROUND

Delirium is a common and severe complication in intensive care unit (ICU) patients with acute ischemic stroke, exacerbating cognitive and physical impairments. It prolongs hospitalization, increases healthcare costs, and raises mortality risk. Early prediction is crucial because it facilitates prompt interventions that could possibly reverse or alleviate the detrimental consequences of delirium. Braden scores, traditionally used to assess pressure injury risk, could also signal frailty, providing an early warning of delirium and aiding in prompt and effective patient management.

OBJECTIVE

To examine the association between the Braden score and delirium.

METHODS

A retrospective analysis of adult ischemic stroke patients in the ICU of a tertiary academic medical center in Boston from 2008 to 2019 was performed. Braden scores were obtained on admission for each patient. Delirium, the primary study outcome, was assessed using the Confusion Assessment Method for Intensive Care Unit and a review of nursing notes. The association between Braden score and delirium was determined using Cox proportional hazards modeling, with hazard ratios (HR) and 95% confidence intervals (CI) calculated.

RESULTS

The study included 3,680 patients with a median age of 72 years, of whom 1,798 were women (48.9 %). The median Braden score at ICU admission was 15 (interquartile range 13-17). After adjustment for demographics, laboratory tests, severity of illness, and comorbidities, the Braden score was inversely associated with the risk of delirium (adjusted HR: 0.94, 95 % CI: 0.92-0.96, P < 0.001).

CONCLUSIONS

The Braden score may serve as a convenient and simple screening tool to identify the risk of delirium in ICU patients with ischemic stroke.

IMPLICATION FOR CLINICAL PRACTICE

The use of the Braden score as a predictor of delirium in ischemic stroke patients in the ICU allows early identification of high-risk patients. This facilitates timely intervention, thereby improving patient outcomes and potentially reducing healthcare costs.

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.

Head and neck cancer surgery in elderly patients: the role of frailty assessment

OBJECTIVES

To study whether any risk model, frailty index, patients' comorbidities, or demographic characteristics correlate with postoperative morbidity in elderly patients who underwent surgery for head and neck cancer (HNC). A secondary objective was to compare between frailty indexes that are used at our medical center.

METHODS

A retrospective analysis of head and neck cancer patients operated between 2007 and 2021 was performed.

RESULTS

One hundred and fifteen patients were included and divided into three age groups: 50-69 years, 70-79 years and ≥ 80 years. Although most elderly patients had a significantly higher rate of comorbidities and lower Norton scores, no statistically significant difference was found between the groups in postoperative morbidity rates, intensive care unit (ICU) or internal medicine department admissions, re-hospitalization in 1-3 months, and in falling risk (MFS-Morse Fall Scale). On multivariate analysis there was a positive correlation between preoperative cerebrovascular accident (CVA), dementia, and cardiac arrhythmias, and the probability for developing postoperative complication. The latter findings were not related to the patients' age.

CONCLUSIONS

In this study, we did not find higher postoperative morbidity rates among elderly population in comparison to younger age groups, and therefore, our current evaluation system could not assist in identifying elderly at risk. However, prediction of operative risk based on physiologic reserve or frailty is an important tool in the evaluation of elderly head and neck cancer patients. Future studies are needed to assess the role of frailty index in the elderly head and neck cancer population.

Biomarkers and clinical features associated with pressure injury among geriatric patients

<b>Purpose:</b> The study aims to identify biomarkers and clinical features associated with pressure injury (PI) among geriatric patients.<br /> <b>Methods:</b> A cross-sectional study including 191 patients aged ≥60 years. Patients were classified into those with and without PI. Assessing the risk of PI was performed on admission by applying the Braden scale (BS) for predicting pressure sore risk. Clinical history, baseline hematology, and biochemistry results were obtained. C-reactive protein to albumin ratio (CAR) and Charlson comorbidity index (CCI) were calculated. Statistical analyses were performed.<br /> <b>Results: </b>43 (22.5%) patients had PI. PI was significantly associated with higher CCI, total leukocyte count, and CAR, besides lower BS scores, serum albumin, and total proteins. Significant comorbidities were diabetes mellitus, stroke/transient ischemic attack, dementia, incontinence, and chronic kidney disease. The optimal cut-offs for PI occurrence were ≤14, ≤3.1 g/dl and &gt;1.27 for BS, albumin, and CAR, respectively.

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.

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.

Munro Pressure Ulcer Risk Assessment Scale in Adult Patients Undergoing General Anesthesia in the Operating Room

Pressure ulcers are a common complication of immobility and frequently occur in surgical patients. The occurrence of pressure ulcers is affected by many factors, such as operation time and position, anesthesia method, and postoperative nursing. The aim of this study was to investigate the Munro Pressure Ulcer Risk Assessment Scale's value in predicting acute pressure ulcers in general anesthesia patients. This case-control study included patients who underwent more than 2 hours of general anesthesia in our hospital from January 2018 to December 2020. The case group comprised 42 patients who had pressure sores in surgical compression sites within 3 days after surgery. The control group consisted of 84 patients without acute pressure sores after surgery. Baseline patient data were compared between the two groups, and a logistic multivariate model was used to analyze potential risk factors for acute pressure ulcers. The Munro Pressure Ulcer Risk Assessment Scale scores and Braden scale scores were compared between the two groups during and after surgery. A receiver operating characteristic curve was used to evaluate the clinical value of the two scales (administered at the two time points) in predicting the occurrence of acute pressure ulcers after surgery. The operation and anesthesia times of patients in the case group were longer than those in the control group (P < 0.05). The proportion of comatose patients and patients with diabetes were significantly higher in the case group. While the case group had higher Munro scores during and after surgery compared to the control group (P < 0.05), Braden scores at the corresponding time points were lower (P < 0.05). The following variables were identified as independent risk factors of acute pressure ulcers: prolonged operation time and anesthesia time, increase in Munro scores during and after operation, decrease in Braden scores during and after operation, and comatose status (P < 0.05). The area under the receiver operating characteristic curve (AUC) of the postoperative Munro score for predicting postoperative pressure ulcer risk was 0.774; the sensitivity and specificity were 67.73% and 80.58%, respectively. The AUC of the intraoperative Braden score for predicting postoperative pressure ulcer risk was 0.836, with a sensitivity of 78.95% and specificity of 78.00%. The AUC of the postoperative Braden score for predicting postoperative pressure ulcer risk was 0.809, with a sensitivity of 73.58% and specificity of 64.26% (P < 0.05). Our results indicate that the intraoperative Munro Pressure Ulcer Risk Assessment Scale is highly effective for predicting the risk of postoperative pressure ulcers in surgical patients who require general anesthesia.

Factors affecting the incidence and prevalence of pressure ulcers in COVID-19 patients admitted with a Braden scale below 14 in the intensive care unit: Retrospective cohort study

The pandemic of coronavirus (COVID‐19) has significantly increased the admission of patients with extensive complications, especially for respiratory support, to intensive care units (ICUs) worldwide. These patients also suffer from pressure ulcers (PUs) as another complication that occurs due to increased length of hospitalisation and acute conditions of patients. Therefore, this study aimed to evaluate the incidence and prevalence of PU and the factors affecting it in COVID‐19 patients admitted to ICUs. This cohort retrospective study used registry data in Imam Reza Hospital located in west of Iran. Four hundred and forty‐five COVID‐19 patients older than 20 years hospitalised in corona ICUs from 20 March 2020 to 30 December 2020, with a Braden score of less than 14 were included in the study. To investigate the relationship between variables in rate prevalence, univariate logistic regression analysis was used to calculate odds ratio, and for incidence rate in estimating PU risk generated in ICUs, hazard ratio was calculated using cox regression. One hundred and eighty‐three (41.12%) patients were male. The mean age of patients was 63 (SD = ±9.78) years. A total of 1152 cases of PU were generated, with the highest prevalence of PU with 234 cases in the sacrum. One hundred and seventy‐six (55.87%) patients underwent non‐invasive ventilation ulcers. The prevalence of PU was 79.7%. The highest prevalence was found in people over 80 years with 90.67%. The incidence ratio was 46.74%. The highest number of new cases was seen in diabetic patients with 60.96%. First‐degree ulcers were the most common degree of ulceration in 252 (55.38%) patients. Incidence and prevalence excluding first‐degree wounds were 24.04% and 49.66%, respectively. Age, Braden score, BMI, comorbidity, diabetes mellitus, stool incontinence, Glasgow coma scale, vasopressor, and length of hospital stay were significantly associated with PU (P < .05). The incidence and prevalence of PU in patients were high in this study. The length of hospitalisation and Braden score were the most important factors in the development of PU. The widespread prevalence of COVID‐19 and the relatively long stay of patients in the ICU created unfavourable conditions for patients and the treatment system, therefore, it emphasised the use of appropriate measures to prevent PU to avoid double costs and longer stays.

Use of the Braden Scale to Predict Injury Severity in Mass Burn Casualties

Background

Mass burn casualties impose an enormous burden on triage systems. The triage capacity of the Braden Scale for detecting injury severity has not been evaluated in mass burn casualties.

Material/Methods

The New Injury Severity Score (NISS) was used to dichotomize the injury severity of patients. The Braden Scale and other potentially indicative measurement tools were evaluated using univariate analysis and multivariate logistic regression. The relationships between the Braden Scale and other continuous variables with injury severity were further explored by correlation analysis and fitted with regression models. Receiver operating characteristic (ROC) curve analysis was used to validate triage capacity and compare prognostic accuracy.

Results

A total of 160 hospitalized patients were included in our study; 37 were severely injured, and 123 were not. Injury severity was independently associated with the Numerical Rating Scale (adjusted OR, 1.816; 95% CI, 1.035–3.187) and Braden Scale (adjusted OR, 0.693; 95% CI, 0.564–0.851). The ROC curve of the fitted quadratic model of the Braden Scale was 0.896 (0.840–0.953), and the cut-off value was 17. The sensitivity was 81.08% (64.29–91.44%) and the specificity was 82.93% (74.85–88.89%). Comparison of ROC curves demonstrated an infinitesimal difference between the Braden Scale and NISS for predicting 30-day hospital discharge (Z=0.291, P=0.771) and Intensive Care Unit admission (Z=2.016, P=0.044).

Conclusions

The Braden Scale is a suitable triage tool for predicting injury severity and forecasting disability-related outcomes in patients affected by mass burn casualty incidents.

Evaluation of the Braden scale in predicting surgical outcomes in older patients undergoing major head and neck surgery

BACKGROUND

Being able to predict negative postoperative outcomes is important for helping select patients for treatment as well for informed decision-making by patients. Frailty measures are often time and resource intensive to use as screening measures, whereas the Braden scale, a commonly used measure to assess patients at risk of developing pressure ulcers after surgery, may be a potential tool to predict postoperative complication rates and longer length of stay (LOS) in patients undergoing major head and neck cancer surgery.

METHODS

A retrospective analysis of Braden scale scores was performed on a prospectively collected cohort of patients undergoing major head and neck surgery recruited between December 2011 and April 2014. The association of Braden scale score with the primary outcomes of complications and LOS was analyzed using logistic regression and linear regression models on univariate analysis (UVA), respectively. Multivariate analysis (MVA) was performed based on a backward stepwise selection algorithm.

RESULTS

There were 232 patients with a mean (SD) Braden scale score of 14.9 (2.8) with a range from 9 to 23. The Braden scale (β = -.07 per point; 95% CI -0.09, -0.04, P < .001) was an independent predictor of increased LOS on UVA, but not on MVA when adjusted for other variables. For overall complications, as well as type of complication, the Braden scale score was not a significant predictor of complications on either UVA or MVA.

CONCLUSION

In the sample population, the Braden scale did not demonstrate an ability to predict negative outcomes in head and neck surgery patients.

LEVEL OF EVIDENCE

Level 2b individual cohort study.

Preoperative Risk Assessment for Loss of Independence Following Hepatic Resection in Elderly Patients: A Prospective Multicenter Study

OBJECTIVE

To establish a preoperative risk assessment method for loss of independence after hepatic resection.

SUMMARY BACKGROUND DATA

Hepatic resection often results in loss of independence in preoperatively self-sufficient elderly people. Elderly patients should therefore be carefully selected for surgery.

METHODS

In this prospective, multicenter study, 347 independently-living patients aged ≥65 years, scheduled for hepatic resection, were divided into study (n = 232) and validation (n = 115) cohorts. We investigated the risk factors for postoperative loss of independence in the study cohort and verified our findings with the validation cohort. Loss of independence was defined as transfer to a rehabilitation facility, discharge to residence with home-based healthcare, 30-day readmission for poor functionality, and 90-day mortality (except for cancer-related deaths).

RESULTS

In the study cohort, univariate and multivariate analyses indicated that frailty, age ≥ 76 years, and open surgery were independent risk factors for postoperative loss of independence. Proportions of patients with postoperative loss of independence in the study and validation cohorts were respectively 3.0% and 0% among those with no applicable risk factors, 8.1% and 12.5% among those with 1 applicable risk factor, 25.5% and 25.0% among those with 2 applicable risk factors, and 56.3% and 50.0% among those with all 3 factors applicable (P < 0.001 for both cohorts). Areas under the receiver operating characteristic curves for the study and validation groups were 0.777 and 0.783, respectively.

CONCLUSIONS

Preoperative risk assessments using these 3 factors may be effective in predicting and planning for postoperative loss of independence after hepatic resection in elderly patients.