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Establishing a nomogram to estimate the probability of oral mucosal membrane pressure injury of endotracheal tube-intubated hospitalized patients in intensive care unit.
Multicentre prospective cohort study.
Using Lasso regression and COX regression, variable selection was performed on demographic, clinical and laboratory data of 1037 ICU endotracheal tube-intubated hospitalized patients from West China Hospital, to construct a nomogram. External validation was conducted on 484 ICU endotracheal tube-intubated patients from People's Hospital of Zhongjiang County.
Among 38 potential predictors, five variables emerged as independent predictors, integrated into the nomogram: administration of antibiotics, nutritional therapy duration, agitation, hypotension and albumin levels.
We established a nomogram based on the hospital characteristics of ICU endotracheal tube-intubated patients, aiding in the prediction of the occurrence of oral mucosal membrane pressure injury.
The study followed TRIPOD guidelines.
The nomogram we developed can assist clinical worker in better identifying at-risk patients and risk factors. It enables the implementation of evidence-based nursing interventions in care to prevent the development of oral mucosal membrane pressure injury.
The study has been registered with the Chinese Clinical Trial Registry (http://www.chictr.org.cn) under registration number ChiCTR2200056615.
Physical frailty (PF) is highly prevalent and associated with undesirable outcomes in stroke survivors aged 65 years or older. However, the long-term trajectories of PF are understudied in those older stroke survivors.
To identify PF trajectories and relative predictors associated with the PF trajectories in older stroke survivors.
This is a secondary analysis of a population-based cohort study in the United States.
Six hundred and sixty-three older stroke survivors from the National Health and Ageing Trends Study from 2015 to 2021 were included. PF was operationally assessed based on the Fried Frailty Phenotype. Trajectories were identified by group-based trajectory modelling. The associations between sociodemographic characteristics, clinical factors, symptoms, cognitive factors and PF trajectories were examined using the design-based logistic regression method.
Most older stroke survivors were 75 and older (63.32%), female (53.99%), white (80.54%) and partnered (50.64%). Two PF trajectory groups were identified (Group 1: low risk, robust; 49.47%; Group 2: high risk, deteriorating; 50.53%). Individuals were at a higher risk to be assigned to Group 2 if they were 75–84 years (adjusted odds ratio [aOR]: 2.16, 95% CI: 1.23–3.80) or 85+ years (aOR: 2.77, 95% CI: 1.52–5.04), had fair self-reported health (aOR: 2.78, 95% CI: 1.53–5.07) or poor self-reported health (aOR: 3.37, 95% CI: 1.51–7.52), had comorbidities (aOR: 8.44, 95% CI: 1.31–54.42), had breathing problems (aOR: 2.18, 95% CI: 1.18–4.02) and had balance problems (aOR: 1.70, 95% CI: 1.06–2.73).
PF trajectories in older stroke survivors were heterogeneous and were associated with age, self-rated health status, comorbidities, breathing problems and balance problems.
Early, routine, dynamic screening for stroke-related physical frailty (PF) and relative predictors might be beneficial for identifying the most vulnerable individuals. Our findings might help develop strategies to manage PF progression.
The reporting followed the STROBE guideline.
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