Development and verification of a prediction model for outcomes of elderly patients with nursing home-acquired pneumonia.
Appl Nurs Res
; 78: 151816, 2024 08.
Article
en En
| MEDLINE
| ID: mdl-39053996
ABSTRACT
BACKGROUND:
Among all infections in nursing homes, pneumonia has the highest mortality. Nurses have a 24-h relationship with patients and have a key role in identifying and preventing adverse outcomes. However, tools to engage nurses in pneumonia patient outcomes evaluation have not occurred.PURPOSE:
This study aimed to develop and validate a prediction model to predict the outcome of elderly patients with nursing home-acquired pneumonia (NHAP).METHODOLOGY:
A retrospective observational study was conducted with 219 elderly NHAP patients. Baseline characteristics, health history, and treatment/nursing status were collected. Variables for constructing nomograms were screened by univariate and multivariate analysis. The nomogram model was evaluated using the concordance index (C-index), decision curve analysis (DCA) curves, and receiver operating characteristic (ROC) curves.RESULTS:
9 independent risk factors were identified and assembled into the nomogram. The nomogram exhibited reasonably accurate discrimination (area under the receiver operating characteristic curve (AUC-ROC) 0.931, P < 0.05) and calibration (C-index 0.931, 95 % CI 0.898-0.964) in the validation cohort. DCA and clinical impact curves demonstrated that the nomogram was clinically beneficial.CONCLUSIONS:
A visualization nomogram model was successfully established for predicting the outcome of the NHAP elderly patients. The model has extremely high reliability, extremely high predictive ability, and good clinical applicability.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Neumonía
/
Casas de Salud
Límite:
Aged
/
Aged80
/
Female
/
Humans
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Male
Idioma:
En
Revista:
Appl Nurs Res
Asunto de la revista:
ENFERMAGEM
Año:
2024
Tipo del documento:
Article