Risk Factor Analysis and Risk Prediction Model Construction of Pressure Injury in Critically Ill Patients with Cancer: A Retrospective Cohort Study in China

Nomogram for intraoperatively acquired pressure injuries in children undergoing cardiac surgery with cardiopulmonary bypass: a retrospective study

BACKGROUND

We aimed to develop and validate a nomogram for predicting the risk of intraoperatively acquired pressure injuries (IAPIs) in children undergoing cardiac surgery with cardiopulmonary bypass (CPB).

METHODS

This study retrospectively included 208 children aged 21 days to 8 years who underwent cardiac surgery with CPB in a tertiary hospital in China between January 2020 and October 2023. All patients' data were collected from the hospital's medical record system and randomly divided into the training (n = 146) and validation (n = 62) cohorts by a ratio of 7:3. Logistic regression analysis was conducted in the training cohort to identify independent risk factors and establish the nomogram. Finally, calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA) were performed in both cohorts to validate the predictive ability of the nomogram.

RESULTS

43 (14.7%) children developed IAPIs. Multivariate analysis showed that low Braden Q scores, use of steroids, skin abnormalities, and low intraoperative SpO2 were independent risk factors for IAPIs. A nomogram integrating the 4 factors was established. The areas under the curve (AUCs) of the nomogram were 0.836 and 0.903 in the training and validation cohorts, respectively. Furthermore, calibration curves and DCA demonstrated good calibration and clinical applicability of the nomogram.

CONCLUSION

We constructed a reliable nomogram based on specific risk factors for children undergoing cardiac surgery with CPB, which could be used as an effective and convenient tool for prevention of IAPIs.

Risk factors for skin injuries in cancer patients with peripherally inserted central catheter: A prospective multicenter cohort study

BACKGROUND

The risk factors for skin injuries remain poorly understood in cancer patients with peripherally inserted central catheters (PICC). We herein aimed at exploring the effect of clinical factors on the risk of PICC-related skin injuries.

METHODS

We included 1245 cancer patients with PICC from 16 hospitals in Suzhou, China. The study outcome was in-hospital skin injuries, including contact dermatitis, skin (epidermal) stripping, tension injury, allergic dermatitis, skin tear, maceration, folliculitis, and pressure injury.

RESULTS

During hospitalization, 274 patients (22.0%) developed skin injuries after prolonged use of an indwelling catheter. Univariable logistic regression analysis identified several risk factors for PICC-related skin injuries; multivariable logistic regression analysis showed that the following factors independently and significantly (p < 0.05) associated with the risk of PICC-related skin injuries: body mass index (BMI, >25 kg/m2 versus <18.5 kg/m2: odds ratio (OR), 1.79; 95% confidence interval (CI), 1.03-3.11), skin condition (humid vs normal: OR, 2.96; 95% CI, 1.62-5.43), skin indentation (OR, 4.67; 95% CI, 3.31-6.58), allergic history (OR, 2.11; 95% CI, 1.21-3.66), history of dermatitis (OR, 3.05; 95% CI, 1.00-9.28), history of eczema (OR, 3.36; 95% CI, 1.20-9.43), catheter insertion site (under elbow vs. upper arm: OR, 3.32; 95% CI, 1.12-9.90), and PICC maintenance interval (4-5 days vs ⩽3 days: OR, 0.06; 95% CI, 0.01-0.50; 5-7 days vs ⩽3 days: OR, 0.07; 95% CI, 0.02-0.31; 7-9 days vs ⩽3 days: OR, 0.10; 95% CI, 0.02-0.57).

CONCLUSIONS

BMI, skin condition, skin indentation, allergic history, history of dermatitis, history of eczema, catheter insertion site, and PICC maintenance interval were independent risk factors for PICC-related skin injuries in cancer patients. This knowledge will guide future studies with formulating optimal treatment strategies for improving the skin health of cancer patients with PICC.

Effects of evidence-based nursing in preventing pressure ulcers in intensive care unit patients: A meta-analysis

To systematically analyse the effects of evidence-based nursing (EBN) in preventing the development of pressure ulcers (PUs) in intensive care unit (ICU) patients. We conducted a computerised search of the Embase, PubMed, Cochrane Library, Web of Science, China National Knowledge Infrastructure and Wanfang databases for randomised controlled trials on the prevention of PUs in ICU patients by EBN, published before the respective databases were established until September 2023. Two investigators independently performed literature screening, data extraction and quality assessment. A meta-analysis was performed using Stata 17.0. Eighteen papers were included, comprising 2593 patients, of whom 1297 and 1296 received EBN and conventional nursing, respectively. The incidence of PUs was 2.70% and 12.04% in the EBN and conventional nursing groups, respectively. Meta-analysis showed a statistically significantly lower incidence of PUs in the EBN group than that in the conventional nursing group (risk ratio = 0.22, 95% confidence interval: 0.16-0.32, p < 0.001). EBN interventions are more effective than conventional nursing in preventing PUs in ICU patients. However, since the literature included in this study was from China, the conclusions require further confirmation via higher-quality studies.

Application of an infrared thermography-based model to detect pressure injuries: a prospective cohort study

BACKGROUND

It is challenging to detect pressure injuries at an early stage of their development.

OBJECTIVES

To assess the ability of an infrared thermography (IRT)-based model, constructed using a convolution neural network, to reliably detect pressure injuries.

METHODS

A prospective cohort study compared validity in patients with pressure injury (n = 58) and without pressure injury (n = 205) using different methods. Each patient was followed up for 10 days.

RESULTS

The optimal cut-off values of the IRT-based model were 0·53 for identifying tissue damage 1 day before visual detection of pressure injury and 0·88 for pressure injury detection on the day visual detection is possible. Kaplan-Meier curves and Cox proportional hazard regression model analysis showed that the risk of pressure injury increased 13-fold 1 day before visual detection with a cut-off value higher than 0·53 [hazard ratio (HR) 13·04, 95% confidence interval (CI) 6·32-26·91; P < 0·001]. The ability of the IRT-based model to detect pressure injuries [area under the receiver operating characteristic curve (AUC)_{lag 0 days} , 0·98, 95% CI 0·95-1·00] was better than that of other methods.

CONCLUSIONS

The IRT-based model is a useful and reliable method for clinical dermatologists and nurses to detect pressure injuries. It can objectively and accurately detect pressure injuries 1 day before visual detection and is therefore able to guide prevention earlier than would otherwise be possible. What is already known about this topic? Detection of pressure injuries at an early stage is challenging. Infrared thermography can be used for the physiological and anatomical evaluation of subcutaneous tissue abnormalities. A convolutional neural network is increasingly used in medical imaging analysis. What does this study add? The optimal cut-off values of the IRT-based model were 0·53 for identifying tissue damage 1 day before visual detection of pressure injury and 0·88 for pressure injury detection on the day visual detection is possible. Infrared thermography-based models can be used by clinical dermatologists and nurses to detect pressure injuries at an early stage objectively and accurately.

APACHE scoring system and pressure injury risk for intensive care patients: A systematic review and meta-analysis

The present study was designed to determine the association between Acute Physiology and Chronic Health Evaluation (APACHE) scale and elevated pressure injure (PI) risk in intensive care units (ICU) and also evaluate the predictive value of APACHE score in PI patients. Comprehensive strategies were used to search studies from PubMed, Web of Science, and Ovid Embase electronic databases for observational studies that provided data about APACHE scores related to PI in ICU. Eligible studies were selected based on inclusion and exclusion criteria. The pooled SMD with 95% confidence intervals were calculated. A summary ROC curve was plotted to calculate area under curve (AUC) for APACHE-II (15-20). Twenty-one studies involving 11,102 patients who met selection criteria were included. The 11.0% of patients (1229/11102) in ICU developed PIs. Overall, the PI group had a higher score compared with the non-PI group in the APACHE II (22.1 ± 8.0 vs. 14.5 ± 7.4, mean ± SD). The APACHE-III of PI patients was significantly more than that in the non-PI group (79.9 ± 25.6 vs. 59.9 ± 30.4, mean ± SD). The pooled SMD was 0.82 (95% CI: 0.58-1.06, I²  = 91.7%, p-value < 0.001). The subgroup analysis revealed that the risk of PIs did not vary with the type of APACHE score (II, III, IV) and the type of study design (case-control, cross-sectional, cohort, longitudinal study). Proportion of males (I²  = 91.68%, p value = 0.090), publish year (I²  = 91.96%, p value = 0.187) and mean age of patients (I²  = 91.96%, p value = 0.937) were not the sources of heterogeneity. APACHE-II (15-20) achieves the best predictive performance in PI, and the prediction accuracy was balanced with equal sensitivity and specificity (Sen: 0.72, 0.62-0.80; Spec: 1.72, 1.25-2.38). In conclusion, higher APACHE scores are frequently accompanied by a higher incidence of PI among critical-care patients. APACHE-II scores (15-20) satisfactorily predicted PI, and strategies to prevent PI should be aggressively implemented.