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Validation of a pulmonary embolism risk assessment model in gynecological inpatients : Clinical trial: A single-center, retrospective study.
Jin, Zhen-Yi; Li, Chun-Min; Qu, Hong; Yang, Wen-Tao; Wen, Jia-Hao; Ren, Hua-Liang.
Afiliación
  • Jin ZY; Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, No.8 Gongti South Road, Beijing, 100020, China.
  • Li CM; Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, No.8 Gongti South Road, Beijing, 100020, China.
  • Qu H; Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, No.8 Gongti South Road, Beijing, 100020, China.
  • Yang WT; Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, No.8 Gongti South Road, Beijing, 100020, China.
  • Wen JH; Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, No.8 Gongti South Road, Beijing, 100020, China.
  • Ren HL; Department of Vascular Surgery, Beijing Chaoyang Hospital, Capital Medical University, No.8 Gongti South Road, Beijing, 100020, China. renhualiang@outlook.com.
Thromb J ; 22(1): 47, 2024 Jun 05.
Article en En | MEDLINE | ID: mdl-38840142
ABSTRACT

OBJECTIVE:

To compare the predictive efficacy of the PADUA and Caprini models for pulmonary embolism (PE) in gynecological inpatients, analyze the risk factors for PE, and validate whether both models can effectively predict mortality rates.

METHODS:

A total of 355 gynecological inpatients who underwent computed tomography pulmonary angiography (CTPA) were included in the retrospective analysis. The comparative assessment of the predictive capabilities for PE between the PADUA and Caprini was carried out using receiver operating characteristic (ROC) curves. Logistic regression analysis was used to identify risk factors associated with PE. Additionally, Kaplan-Meier survival analysis plots were generated to validate the predictive efficacy for mortality rates.

RESULTS:

Among 355 patients, the PADUA and Caprini demonstrated the area under the curve (AUC) values of 0.757 and 0.756, respectively. There was no statistically significant difference in the AUC between the two models (P = 0.9542). Multivariate logistic analysis revealed immobility (P < 0.001), history of venous thromboembolism (VTE) (P = 0.002), thrombophilia (P < 0.001), hormonal treatment (P = 0.022), and obesity (P = 0.019) as independent risk factors for PE. Kaplan-Meier survival analysis demonstrated the reliable predictive efficacy of both the Caprini (P = 0.00051) and PADUA (P = 0.00031) for mortality. ROC for the three- and six-month follow-ups suggested that the Caprini model exhibited superior predictive efficacy for mortality.

CONCLUSIONS:

The PADUA model can serve as a simple and effective tool for stratifying high-risk gynecological inpatients before undergoing CTPA. The Caprini model demonstrated superior predictive efficacy for mortality rates.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Thromb J Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Thromb J Año: 2024 Tipo del documento: Article País de afiliación: China
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