A algorithm for prediction of exudative retinal detachment risk of patients with pregnancy-induced hypertension.
Int J Ophthalmol
; 15(8): 1310-1315, 2022.
Article
en En
| MEDLINE
| ID: mdl-36017055
ABSTRACT
AIM:
To investigate the risk of exudative retinal detachment (ERD) morbidity in patients with pregnancy-induced hypertension (PIH) by using the logistic regression combined with the receiver operating characteristic (ROC) curve.METHODS:
A total of 46 patients with ERD and 142 patients with non-ERD were diagnosed as PIH from January 2017 to February 2020. A retrospective comparison of the clinical manifestations and laboratory tests were conducted. The risk of ERD morbidity with PIH was predicted by using logistic regression combined with an ROC curve model.RESULTS:
There was no significant difference in age and body mass index between the two groups before pregnancy (P>0.05). However, significant differences were found in gestational weeks, duration of hypertension, maximum and minimum systolic and diastolic blood pressure (BP), and plasma total protein (PTP) concentration between the two groups (P<0.05). Binary logistic regression analysis showed that the maximum systolic BP (OR=1.050, 95%CI 1.016-1.085) and PTP concentration (OR=0.764, 95%CI 0.702-0.832) were independent prediction risks of ERD in PIH. The sensitivities of maximum systolic BP, PTP concentration and combined diagnosis were 0.717, 0.870, and 0.870, respectively; the specificities were 0.617, 0.837, and 0.908, respectively; the area under the curve (AUC) was 0.707 (95%CI 0.622-0.792), 0.917 (95%CI 0.868-0.967), and 0.933 (95%CI 0.890-0.975), respectively; the AUC of combined diagnosis was higher than that of single diagnosis (P<0.01).CONCLUSION:
Logistic regression and ROC curve model combined with maximum systolic BP and PTP can improve the early identification of high-risk PIH patients in the hospital.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Int J Ophthalmol
Año:
2022
Tipo del documento:
Article
País de afiliación:
China