Your English writing platform
Discover LudwigExact(1)
The RISC significantly added to the predictive accuracy of the regression model for institutionalisation (OR 1.43, p = 0.01), hospitalisation (OR 1.28, p = 0.01), and death (OR 1.58, p = 0.001).
Similar(59)
However, as the latter acknowledge, the model of institutionalisation in Japan might reflect, rather than determine community attitudes.
Frailty syndrome models exhibited ROC scores of 0.624 0.659 for inpatient mortality, 0.63 0.654 for institutionalisation and 0.57 0.63 for 30-day emergency readmission.
The RISC score for institutionalisation was significantly more accurate at identifying institutionalisation than hospitalisation (p < 0.001) or death (p = 0.03).
The major risk factors for institutionalisation were identified based on scientific literature.
Diseases like diabetes (and stroke) only are important for institutionalisation if they cause functional disability.
It is one of the most important reasons for institutionalisation of elderly people in nursing homes.
To know the medical risk profiles is very useful for developing interventions to prevent the need for institutionalisation [ 2].
Diseases like stroke, diabetes and mobility problems are only important for institutionalisation if they cause functional disability.
Both delirium and dementia are associated with excess mortality and the need for institutionalisation [ 4, 6- 8, 11, 12].
Figure 2 shows the Kaplan-Meier survival curves for institutionalisation and death according to the reported statin exposure and frailty status at baseline.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com