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Development and validation of a nomogram to predict postoperative delirium in older patients after major abdominal surgery: a retrospective case-control study.
Luo, Yun-Gen; Wu, Xiao-Dong; Song, Yu-Xiang; Wang, Xiao-Lin; Liu, Kai; Shi, Chun-Ting; Wang, Zi-Lin; Ma, Yu-Long; Li, Hao; Liu, Yan-Hong; Mi, Wei-Dong; Lou, Jing-Sheng; Cao, Jiang-Bei.
Afiliación
  • Luo YG; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Wu XD; Medical School of Chinese PLA, 28 Fuxing Road, Beijing, 100853, China.
  • Song YX; Beidaihe Rest and Recuperation Center of People's Liberation Army, Hebei, 066100, China.
  • Wang XL; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Liu K; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Shi CT; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Wang ZL; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Ma YL; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Li H; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Liu YH; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Mi WD; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Lou JS; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Cao JB; Department of Anesthesiology, the First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Perioper Med (Lond) ; 13(1): 41, 2024 May 16.
Article en En | MEDLINE | ID: mdl-38755693
ABSTRACT

BACKGROUND:

Postoperative delirium is a common complication in older patients, with poor long-term outcomes. This study aimed to investigate risk factors and develop a predictive model for postoperative delirium in older patients after major abdominal surgery.

METHODS:

This study retrospectively recruited 7577 patients aged ≥ 65 years who underwent major abdominal surgery between January 2014 and December 2018 in a single hospital in Beijing, China. Patients were divided into a training cohort (n = 5303) and a validation cohort (n = 2224) for univariate and multivariate logistic regression analyses and to build a nomogram. Data were collected for 43 perioperative variables, including demographics, medical history, preoperative laboratory results, imaging, and anesthesia information.

RESULTS:

Age, chronic obstructive pulmonary disease, white blood cell count, glucose, total protein, creatinine, emergency surgery, and anesthesia time were associated with postoperative delirium in multivariate analysis. We developed a nomogram based on the above 8 variables. The nomogram achieved areas under the curve of 0.731 and 0.735 for the training and validation cohorts, respectively. The discriminatory ability of the nomogram was further assessed by dividing the cases into three risk groups (low-risk, nomogram score < 175; medium-risk, nomogram score 175~199; high-risk, nomogram score > 199; P < 0.001). Decision curve analysis revealed that the nomogram provided a good net clinical benefit.

CONCLUSIONS:

We developed a nomogram that could predict postoperative delirium with high accuracy and stability in older patients after major abdominal surgery.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Perioper Med (Lond) Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Perioper Med (Lond) Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido