Development and validation of a prediction nomogram for sleep disorders in hospitalized patients with acute myocardial infarction.
BMC Cardiovasc Disord
; 24(1): 393, 2024 Jul 29.
Article
en En
| MEDLINE
| ID: mdl-39075418
ABSTRACT
PURPOSE:
Sleep disorders are becoming more prevalent in hospitalized patients with acute myocardial infarction (AMI). We aimed to investigate the risk factors for sleep disorders in hospitalized patients with AMI, then develop and validate a prediction nomogram for the risk of sleep disorders.METHODS:
Clinical data were collected from patients with AMI hospitalized in our hospital from January 2020 to June 2023. All patients were divided into the training group and the validation group with a ratio of 73 in sequential order. The LASSO regression analysis and multivariate logistic regression analysis were used to screen potential risk factors for sleep disorders. The concordance index (C-index), calibration curves, and decision curve analysis (DCA) were plotted.RESULTS:
A total of 256 hospitalized patients with AMI were enrolled. Patients were divided into the training group (180) and the validation group (76) according to a scale of 73. Of the 256 patients, 90 patients (35.16%) suffered from sleep disorders, and 33 patients (12.89%) needed hypnotics. The variables screened by LASSO regression included age, smoking, NYHA class, anxiety status at admission, depression status at admission, and strangeness of environment. A nomogram model was established by incorporating the risk factors selected. The C-index, calibration curve, and DCA showed good predictive performance.CONCLUSIONS:
We identified six clinical characteristics as predictors of sleep disorders in hospitalized patients with AMI. It helps nurses make appropriate decisions in clinical practice.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Trastornos del Sueño-Vigilia
/
Valor Predictivo de las Pruebas
/
Nomogramas
/
Infarto del Miocardio
Límite:
Aged
/
Female
/
Humans
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Male
/
Middle aged
País como asunto:
Asia
Idioma:
En
Año:
2024
Tipo del documento:
Article