Percutaneous Endoscopic Gastrostomy Reduces Aspiration Pneumonia Rate in Stroke Patients with Enteral Feeding in Convalescent Rehabilitation Wards

Machine learning-based survival analysis approaches for predicting the risk of pneumonia post-stroke discharge

BACKGROUND

Post-stroke pneumonia (PSP) is common among stroke patients. PSP occurring after hospital discharge continues to increase the risk of poor functional outcomes and death among stroke survivors. Currently, there is no prediction model specifically designed to predict the occurrence of PSP beyond the acute stage of stroke. This study aimed to explore the use of machine learning (ML) methods in predicting the risk of PSP after hospital discharge.

METHODS

This study analyzed data from 5,754 hospitalized stroke patients. The dataset was randomly divided into a training set and a holdout test set, with a ratio of 80:20. Several clinical and laboratory variables were utilized as predictors and different ML algorithms were employed to model time-to-event data. The ML model's predictive performance was compared to existing risk-scoring systems. A model-agnostic method based on Shapley additive explanations was utilized to interpret the ML model.

RESULTS

The study found that 5.7% of the study patients experienced pneumonia within one year after discharge. Based on repeated 5-fold cross-validation on the training set, the random survival forest (RSF) model had the highest C-index among the various ML algorithms and traditional Cox regression analysis. The final RSF model achieved a C-index of 0.787 (95% confidence interval: 0.737-0.840) on the holdout test set, outperforming five existing risk-scoring systems. The top three important predictors were the Glasgow Coma Scale score, age, and length of hospital stay.

CONCLUSIONS

The RSF model demonstrated superior discriminative ability compared to other ML algorithms and traditional Cox regression analysis, suggesting a non-linear relationship between predictors and outcomes. The developed ML model can be integrated into the hospital information system to provide personalized risk assessments.

Association between switching prescribed drugs for lower urinary tract symptoms and independence of urination in post-stroke patients: A retrospective cohort study

OBJECTIVES

Stroke patients frequently exhibit loss of independence of urination, and their lower urinary tract symptoms change with the phase of stroke. However, it is unclear whether switching prescribed drugs for lower urinary tract symptoms during hospitalization from acute care wards to convalescence rehabilitation wards affects patients' independence of urination at discharge. It is also unclear whether the impact of switching varies by stroke type. This retrospective cohort study aimed to examine these issues.

MATERIALS AND METHODS

We analyzed 990 patients registered in the Kaga Regional Cooperation Clinical Pathway for Stroke database during 2015-2019. Prescriptions for lower urinary tract symptoms from pre-onset to convalescence rehabilitation were surveyed. Logistic regression analysis was performed to examine the association between switching drugs and independence of urination based on bladder management and voiding location at discharge. Stroke types were also examined in subgroup analyses.

RESULTS

About 21 % of patients had their lower urinary tract symptoms prescriptions switched during hospitalization. Switching was positively associated with independence of bladder management (odds ratio 1.65, 95 % confidence interval 1.07 to 2.49) and voiding location (odds ratio 2.72, 95 % confidence interval 1.72 to 4.37). Similar associations were observed in different stroke types.

CONCLUSIONS

Approximately 20 % of patients had their lower urinary tract symptoms medications switched upon transfer from acute to convalescence rehabilitation wards. Switching was significantly associated with improved urinary independence at discharge. Consistent results were observed across different stroke types, suggesting that switching medications contributes to urinary independence after stroke, regardless of the etiology or severity of stroke.

Factors Contributing to Complete Oral Intake in Dysphagic Stroke Patients with Enteral Feeding Tubes in Convalescent Rehabilitation Wards

Objectives:

This study investigated the factors contributing to complete oral intake (COI) in dysphagic stroke patients with enteral feeding tubes in the local clinical setting.

Methods:

Data of patients with percutaneous endoscopic gastrostomy (PEG) or nasogastric tube (NGT) feeding on admission to convalescent rehabilitation wards (CRWs) were extracted from the Kaga Regional Cooperation Clinical Pathway for Stroke database for multiple centers including 19 acute care hospitals and 11 hospitals with CRWs. Patients were divided into two groups based on their status regarding COI or incomplete oral intake (ICOI) at discharge. Logistic regression analysis with forced-entry variables was used to identify factors contributing to COI.

Results:

On discharge from CRWs, COI and ICOI were observed in 140 and 207 cases, respectively. The COI group was younger, had a higher rate of initial stroke, higher Functional Oral Intake Scale (FOIS) scores, higher Functional Independence Measure (FIM) motor and cognitive scores, higher Body Mass Index (BMI), lower rate of patients with PEG, and shorter stays in acute care wards. Logistic regression analysis with forced entry revealed that younger age; initial stroke; higher FOIS score, FIM cognitive score, and BMI; and shorter stay in the acute care ward contributed to COI.

Conclusions:

The primary factors contributing to COI in dysphagic stroke patients with enteral feeding tubes were younger age, initial stroke, higher swallowing and cognitive function, good nutritional status, and shorter stay in the acute care ward.

“Timing of percutaneous endoscopic gastrostomy tube placement in post-stroke patients does not impact mortality, complications, or outcomes”: Commentary

In this commentary, we summarize some of the key points of the original paper “Timing of percutaneous endoscopic gastrostomy tube placement in post-stroke patients does not impact mortality, complications, or outcomes” and offer support for the proposed results. Specifically, we address how early percutaneous endoscopic gastrostomy (PEG) tube placement may reduce hospital length of stay and costs. We also discuss topics related to the article including PEG weaning and post-stroke nutritional formulation. However, we note that concerns purported by previous studies that early PEG placement may worsen outcomes are not fully addressed, and further research is needed.

Relationship between Bowel/Bladder Function and Discharge in Older Stroke Patients in Convalescent Rehabilitation Wards: A Retrospective Cohort Study

Objectives

: Many stroke patients experience motor and cognitive dysfunctions that make living at home challenging. We aimed to identify the factors associated with hospital discharge to home in older stroke patients in convalescent rehabilitation wards where intensive and comprehensive inpatient rehabilitation are performed following acute-phase treatment.

Methods

: A retrospective cohort study was conducted among 1227 older stroke patients registered in the database of the Council of Kaga Local Stroke Network, Japan, between 2015 and 2019. Patients’ basic characteristics, discharge destination, type and severity of stroke, cognitive status, and activities of daily living (ADL) including continence were evaluated.

Results

: The proportion of subjects discharged to home was 62.3%. The mean hospital stay in the home discharge group was shorter than that in the non-home discharge group (111 days vs. 144.6 days, P <0.001). The following factors were associated with discharge to home: age (adjusted odds ratio [AOR]: 2.801, 95% confidence interval [CI] [1.473, 2.940]; P <0.001), sex (AOR: 1.513, 95% CI [1.112, 2.059]), stroke type (AOR: 1.426, 95% CI [1.013, 2.007]), low cognitive status (AOR: 3.750, 95% CI [2.615, 5.379]), low level of bladder control (AOR: 2.056, 95% CI [1.223, 3.454]), and low level of bowel control (AOR: 2.823, 95% CI [1.688, 4.722]).

Conclusions

: Age, sex, stroke type, cognitive function, and ADL scores for bladder and bowel control were associated with discharge to home. Improving continence management regarding both voiding and defecation may be a promising care strategy to promote hospital discharge to home in older stroke patients.