scholarly journals 30-day mortality in patients after hip fracture surgery: A comparison of the Charlson Comorbidity Index score and ASA score used in two prediction models

Injury ◽  
2021 ◽  
Author(s):  
Kristin Haugan ◽  
Jomar Klaksvik ◽  
Olav A. Foss
2011 ◽  
Vol 26 (6) ◽  
pp. 461-467 ◽  
Author(s):  
Lisa L. Kirkland ◽  
Deanne T. Kashiwagi ◽  
M. Caroline Burton ◽  
Stephen Cha ◽  
Prathibha Varkey

This study is a retrospective chart review to determine the association of Charlson Comorbidity Index (CCI), age, body mass index (BMI), and admission glucose with the incidence of postoperative 30-day mortality in older patients undergoing hip fracture surgery from January 1, 2000, to June 30, 2002. A total of 40 (8%) of 485 eligible patients died within 30 days after hip fracture surgery. The factors associated with 30-day mortality were age > 90 years (odds ratio [OR] = 2.74; confidence interval [CI] = 1.27-5.95; P = .012), BMI < 18.5 (OR = 3.98; CI 1.48-10.65; P = .006), and CCI ≥ 6 (OR = 2.6; CI = 1.20-5.65; P = .015). There was no relationship between admission glucose concentration and 30-day mortality. Advanced age, low BMI, and high CCI can be identified prospectively and are independently associated with postoperative 30-day mortality in older, chronically ill patients.


2021 ◽  
Vol 12 ◽  
pp. 215145932110362
Author(s):  
Eric Wei Liang Cher ◽  
John Allen Carson ◽  
Eileen Yilin Sim ◽  
Hairil Rizal Abdullah ◽  
Tet Sen Howe ◽  
...  

Background: The use of risk stratification tools in identifying high-risk hip fracture patients plays an important role during treatment. The aim of this study was to compare our locally derived Combined Assessment of Risk Encountered in Surgery (CARES) score with the the American Society of Anesthesiologists physical status (ASA-PS) score and the Deyo–Charlson Comorbidity Index (D-CCI) in predicting 2-year mortality after hip fracture surgery. Methods and Material: A retrospective study was conducted on surgically treated hip fracture patients in a large tertiary hospital from Jan 2013 through Dec 2015. Age, gender, time to surgery, ASA-PS score, D-CCI, and CARES score were obtained. Univariate and multivariable logistic regression analyses were used to assess statistical significance of scores and risk factors, and area under the receiver operating characteristic (ROC) curve (AUC) was used to compare ASA-PS, D-CCI, and CARES as predictors of mortality at 2 years. Results: 763 surgically treated hip fracture patients were included in this study. The 2-year mortality rate was 13.1% (n = 100), and the mean ± SD CARES score of surviving and demised patients was 21.2 ± 5.98 and 25.9 ± 5.59, respectively. Using AUC, CARES was shown to be a better predictor of 2-year mortality than ASA-PS, but we found no statistical difference between CARES and D-CCI. A CARES score of 23, attributable primarily to pre-surgical morbidities and poor health of the patient, was identified as the statistical threshold for “high” risk of 2-year mortality. Conclusion: The CARES score is a viable risk predictor for 2-year mortality following hip fracture surgery and is comparable to the D-CCI in predictive capability. Our results support the use of a simpler yet clinically relevant CARES in prognosticating mortality following hip fracture surgery, particularly when information on the pre-existing comorbidities of the patient is not immediately available.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 856.1-856
Author(s):  
C. Lao ◽  
D. Lees ◽  
D. White ◽  
R. Lawrenson

Background:Osteoarthritis of the hip and knee is one of the most common causes of reduced mobility. It also causes stiffness and pain. Opioids can offer pain relief but is usually used for severe acute pain caused by major trauma or surgery. The use of opioids for relief of chronic pain caused by arthritis has increased over the last few decades.[1]Objectives:This study aims to investigate the use of strong opiates for patients with hip and knee osteoarthritis before and after joint replacement surgery, over a 13 years period in New Zealand.Methods:This study included patients with osteoarthritis who underwent publicly funded primary hip and knee replacement surgeries in 2005-2017 in New Zealand. These records were identified from the National Minimum Dataset (NMD). They were cross referenced with the NZJR data to exclude the admissions not for primary hip or knee replacement surgeries. Patients without a diagnosis of osteoarthritis were excluded.The PHARMS dataset was linked to the NMD to identify the use of strong opiates before and after surgeries. The strong opiates available for community dispensing in New Zealand and included in this study are: dihydrocodeine, fentanyl, methadone, morphine, oxycodone and pethidine. Use of opiate within three months prior to surgery and within 12 months post-surgery were examined by gender, age group, ethnicity, Charlson Comorbidity Index score and year of surgery. Differences by subgroup was examined with Chi- square test. Logistic regression model was used to calculate the adjusted odds ratios of strong opiate use before and after surgery compared with no opiate use.Results:We identified 53,439 primary hip replacements and 50,072 primary knee replacements with a diagnosis of osteoarthritis. Of patients with hip osteoarthritis, 6,251 (11.7%) had strong opiate before hip replacement surgeries and 11,939 (22.3%) had opiate after surgeries. Of patients with knee osteoarthritis, 2,922 (5.8%) had strong opiate before knee replacement surgeries and 15,252 (30.5%) had opiate after surgeries.The probability of patients with hip and knee osteoarthritis having opiate decreased with age, increased with Charlson comorbidity index score, and increased over time both before and after surgeries. Male patients with hip and knee osteoarthritis were less likely to have opiate than female patients both before and after surgeries. New Zealand Europeans with hip and knee osteoarthritis were more likely to receive opiate than other ethnic groups prior to surgeries, but were less likely to have opiate than Asians post-surgeries.Patients who had opiate before surgeries were more likely to have opiate after surgeries than those who did not have opiate before surgeries. The odds ratio was 8.34 (95% confidence interval (CI): 7.87-8.84) for hip osteoarthritis and 11.94 (95% CI: 10.84-13.16) for knee osteoarthritis after adjustment for age, gender, ethnicity, year of surgery and Charlson comorbidity index score. Having opiate prior to surgeries also increased the probability of having opiate for 6 weeks or more after surgeries substantially. The adjusted odds ratio was 21.46 (95% CI: 19.74-23.31) for hip osteoarthritis and 27.22 (95% CI: 24.95-29.68) for knee osteoarthritis.Conclusion:Preoperative opiate holidays should be encouraged. Multiple strategies need to be used to develop analgesic plans that allow adequate rehabilitation, without precipitating a chronic opiate dependence. Clinicians would also benefit from clear guidelines for prescribing strong opiates.References:[1] Nguyen, L.C., D.C. Sing, and K.J. Bozic,Preoperative Reduction of Opioid Use Before Total Joint Arthroplasty.J Arthroplasty, 2016.31(9 Suppl): p. 282-7.Disclosure of Interests:None declared


2010 ◽  
Vol 25 (3) ◽  
pp. e45 ◽  
Author(s):  
Kristian Bjorgul ◽  
Wendy Novicoff ◽  
Khaled J. Saleh

PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0157900 ◽  
Author(s):  
Chun-Ming Chang ◽  
Wen-Yao Yin ◽  
Chang-Kao Wei ◽  
Chin-Chia Wu ◽  
Yu-Chieh Su ◽  
...  

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