767The hospital frailty risk score (HFRS) predicts complications in older surgical patients. (2nd September 2021)
- Record Type:
- Journal Article
- Title:
- 767The hospital frailty risk score (HFRS) predicts complications in older surgical patients. (2nd September 2021)
- Main Title:
- 767The hospital frailty risk score (HFRS) predicts complications in older surgical patients
- Authors:
- Harvey, Lara
Toson, Barbara
Norris, Christina
Harris, Ian
Gandy, Robert
Close, Jacqueline - Abstract:
- Abstract: Background: Frailty increases the risk of post-operative complications in older patients, however clinical assessment of frailty is not routinely undertaken. We aimed to evaluate whether the Hospital Frailty Risk Score (HFRS), calculated using data available from ICD-10 coded electronic records at time of admission, could be used to identify patients at risk of complications. Methods: Hospital and death data for individuals aged >50 years, admitted for surgery to all hospitals in NSW, Australia 2016-2017 were linked. Hospital-acquired complications (HACs) were identified using 16 categories. Logistic regression models were used to quantify influence of explanatory variables; age, sex, comorbidity, urgency of admission and HFRS on risk of HACs, and model performance assessed. Results: Of the 150, 355 hospitalisations, 12.3% resulted in a complication. Infections (6.1%) and delirium (3.3%) were the most common complications. 30-day mortality was higher following complication (12.5% vs 1.8%, p < 0.0001). Emergency surgery was the strongest predictor for >1 complication (OR 2.67, 95%CI 2.57-2.78), followed by multimorbidity (OR 1.90, 95%CI 1.78-2.02) and high HFRS (OR 1.57, 95%CI 1.48-1.66). The fully-fitted model provided acceptable discrimination (AUC 0.72, 95%CI 0.72-0.73). Conclusions: The HFRS was strongly associated with complications following surgery. Used in conjunction with age, sex, urgency and comorbidity the HFRS predicted complications with 72% accuracy.Abstract: Background: Frailty increases the risk of post-operative complications in older patients, however clinical assessment of frailty is not routinely undertaken. We aimed to evaluate whether the Hospital Frailty Risk Score (HFRS), calculated using data available from ICD-10 coded electronic records at time of admission, could be used to identify patients at risk of complications. Methods: Hospital and death data for individuals aged >50 years, admitted for surgery to all hospitals in NSW, Australia 2016-2017 were linked. Hospital-acquired complications (HACs) were identified using 16 categories. Logistic regression models were used to quantify influence of explanatory variables; age, sex, comorbidity, urgency of admission and HFRS on risk of HACs, and model performance assessed. Results: Of the 150, 355 hospitalisations, 12.3% resulted in a complication. Infections (6.1%) and delirium (3.3%) were the most common complications. 30-day mortality was higher following complication (12.5% vs 1.8%, p < 0.0001). Emergency surgery was the strongest predictor for >1 complication (OR 2.67, 95%CI 2.57-2.78), followed by multimorbidity (OR 1.90, 95%CI 1.78-2.02) and high HFRS (OR 1.57, 95%CI 1.48-1.66). The fully-fitted model provided acceptable discrimination (AUC 0.72, 95%CI 0.72-0.73). Conclusions: The HFRS was strongly associated with complications following surgery. Used in conjunction with age, sex, urgency and comorbidity the HFRS predicted complications with 72% accuracy. Key messages: This is the first study to validate the use of HFRS as a screening tool to identify frail patients at risk of developing complications following surgery. The HFRS provides hospitals with an inexpensive, systematic method to screen for high-risk patients at time of admission. … (more)
- Is Part Of:
- International journal of epidemiology. Volume 50(2021)Supplement 1
- Journal:
- International journal of epidemiology
- Issue:
- Volume 50(2021)Supplement 1
- Issue Display:
- Volume 50, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 50
- Issue:
- 1
- Issue Sort Value:
- 2021-0050-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-09-02
- Subjects:
- Epidemiology -- Periodicals
614.4 - Journal URLs:
- http://ije.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/ije/dyab168.268 ↗
- Languages:
- English
- ISSNs:
- 0300-5771
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.244000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19886.xml