Comparison of Frailty Assessment Methods for Predicting Postoperative Complications in Hospitalized Elderly Patients

Yuxiao XIA; Xiuli FENG; Wei GUO; Shanjiao ZHONG; Yu DING; Manman DONG; Xuewei YANG; Ying ZHOU

doi:10.12259/j.issn.2095-610X.S20220723

Volume 43 Issue 7

Jul. 2022

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Article Navigation > Journal of Kunming Medical University > 2022 > 43(7): 121-127

Yuxiao XIA, Xiuli FENG, Wei GUO, Shanjiao ZHONG, Yu DING, Manman DONG, Xuewei YANG, Ying ZHOU. Comparison of Frailty Assessment Methods for Predicting Postoperative Complications in Hospitalized Elderly Patients[J]. Journal of Kunming Medical University, 2022, 43(7): 121-127. doi: 10.12259/j.issn.2095-610X.S20220723

Citation:

Yuxiao XIA, Xiuli FENG, Wei GUO, Shanjiao ZHONG, Yu DING, Manman DONG, Xuewei YANG, Ying ZHOU. Comparison of Frailty Assessment Methods for Predicting Postoperative Complications in Hospitalized Elderly Patients[J]. Journal of Kunming Medical University, 2022, 43(7): 121-127. doi: 10.12259/j.issn.2095-610X.S20220723

Citation:

Yuxiao XIA, Xiuli FENG, Wei GUO, Shanjiao ZHONG, Yu DING, Manman DONG, Xuewei YANG, Ying ZHOU. Comparison of Frailty Assessment Methods for Predicting Postoperative Complications in Hospitalized Elderly Patients[J]. Journal of Kunming Medical University, 2022, 43(7): 121-127. doi: 10.12259/j.issn.2095-610X.S20220723

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Comparison of Frailty Assessment Methods for Predicting Postoperative Complications in Hospitalized Elderly Patients

doi: 10.12259/j.issn.2095-610X.S20220723

1.
Dept. of General Surgery，The 2nd Affiliated Hospital of Guangzhou Medical University，Guangzhou Guangdong 510260
2.
School of Nursing，Guangzhou Medical University，Guangzhou Guangdong 510030，China

Received Date: 2022-05-04
Available Online: 2022-07-02
Publish Date: 2022-07-14

Abstract

Abstract

Objective To evaluate frailty of surgical elderly hospitalized patients by four kinds of frailty assessment tools, FP （frailty phenotype, FP）, FI-CD （frailty index of accumulative deficits, FI-CD）, Frail Scale, and TFI （tilburg frailty indicator, TFI）, and to compare their ability to predict postoperative complications. Methods A cohort study method was used to select elderly patients undergoing surgical operations in Guangzhou hospitals for data collection, including general information, FP, FI-CD, Frail Scale, TFI, operation time, blood loss, complications during hospitalization, and those occurring within 30 days of discharge Complication information, etc. We calculated the receiver operating characteristic curve （ROC） and area under the ROC curve （AUC）, and compared the ability of FP, FI-CD, Frail Scale, and TFI to predict postoperative complications. Results A total of 294 patients were included, 21 cases were lost to follow-up, and 273 patients with complete data were finally collected, aged 60-88 （69.49 ± 6.90） years old. The percentages of frailty detected by FP, FI-CD, Frail Scale, and TFI were 30.4%, 24.5%, 28.6%, and 26.4%, respectively. After chi-square test, the kappa values of FP, FI-CD and Frail Scale （FS） and TFI evaluation results were 0.52, 0.60, 0.47, 0.65, 0.54, 0.58, respectively （P < 0.001）, and the consistency was weak. The AUC of FP, FI-CD, Frail Scale, and TFI predicting postoperative complications were 0.896 [95% CI （0.784, 0.929）], 0.767 [95% CI （0.706, 0.829）], 0.799 [95% CI （0.742）, respectively , 0.857）], 0.745 [95%CI （0.683, 0.808）], （all P < 0.05）. Conclusions Different frailty assessment tools have great differences in the detection rate of frailty, and caution should be exercised when selecting frailty assessment methods in clinical work. AUC for FP, FI-CD, FS, and TFI for postoperative complications are 0.836, 0.767, 0.799, and 0.745, respectively. The ability of FP to predict postoperative complications is better than the other three assessment tools.
- Elderly,
- Frailty assessment,
- Complication,
- Frailty

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References(34)

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