Elixhauser comorbidity measures-based risk factors associated with 30-day mortality in elderly population after femur fracture surgery: a propensity scorematched retrospective case-control study
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Background: As the average life expectancy increases, anesthesiologists confront unique challenges in the perioperative care of elderly patients who have significant comorbidities. In this study, we evaluated Elixhauser comorbidity measures-based risk factors associated with 30- day mortality in patients aged 66 years and older who underwent femur fracture surgery. Methods: We used the Medical Information Mart for Intensive Care III which contains the medical records of patients admitted to the intensive care unit (ICU) at Beth Israel Deaconess Medical Center in the United States between 2001 and 2012 to identify patients admitted to the ICU after femur fracture surgery (n=209). Patients who died within 30 days of admission (case group, n=49) were propensity score-matched to patients who did not (control group, n=98). The variables for matching were age, sex, race, anemia (hemoglobin ≤10 g/dl), and malignancy. We attempted to explain mortality via nine independent factors: hypertension, uncomplicated diabetes, complicated diabetes, congestive heart failure (CHF), cardiac arrhythmias, chronic pulmonary disease, renal failure, neurological disorders other than paralysis, and peripheral vascular disease. Results: Logistic regression identified three significant risk factors: CHF, arrhythmias, and neurological disorders other than paralysis. The odds ratio (OR) for the 30-day mortality of CHF was 4.99 (95% confidence interval [CI], 2.18 to 12.06). The equivalent ORs for cardiac arrhythmias and neurological disorders other than paralysis were 2.61 (95% CI, 1.14 to 6.21) and 2.40 (95% CI, 0.95 to 6.48), respectively. Conclusions: Identifying patients with these risk factors (CHF, arrhythmias, and neurological disorders other than paralysis) will assist clinicians with perioperative planning and provide caregivers with valuable information for decision-making.
Abstract
Background: As the average life expectancy increases, anesthesiologists confront unique challenges in the perioperative care of elderly patients who have significant comorbidities. In this study, we evaluated Elixhauser comorbidity measures-based risk factors associated with 30- day mortality in patients aged 66 years and older who underwent femur fracture surgery. Methods: We used the Medical Information Mart for Intensive Care III which contains the medical records of patients admitted to the intensive care unit (ICU) at Beth Israel Deaconess Medical Center in the United States between 2001 and 2012 to identify patients admitted to the ICU after femur fracture surgery (n=209). Patients who died within 30 days of admission (case group, n=49) were propensity score-matched to patients who did not (control group, n=98). The variables for matching were age, sex, race, anemia (hemoglobin ≤10 g/dl), and malignancy. We attempted to explain mortality via nine independent factors: hypertension, uncomplicated diabetes, complicated diabetes, congestive heart failure (CHF), cardiac arrhythmias, chronic pulmonary disease, renal failure, neurological disorders other than paralysis, and peripheral vascular disease. Results: Logistic regression identified three significant risk factors: CHF, arrhythmias, and neurological disorders other than paralysis. The odds ratio (OR) for the 30-day mortality of CHF was 4.99 (95% confidence interval [CI], 2.18 to 12.06). The equivalent ORs for cardiac arrhythmias and neurological disorders other than paralysis were 2.61 (95% CI, 1.14 to 6.21) and 2.40 (95% CI, 0.95 to 6.48), respectively. Conclusions: Identifying patients with these risk factors (CHF, arrhythmias, and neurological disorders other than paralysis) will assist clinicians with perioperative planning and provide caregivers with valuable information for decision-making.
참고문헌 (15)
- Association of Anaesthetists of Great Britain, "Management of proximal femoral fractures 2011 : Association of Anaesthetists of Great Britain and Ireland", Anaesthesia, 67, pp.85~98 (2012)
- 이동규, "노인 고관절 골절 환자의 수술을 위한 마취 관리", Anesthesia and Pain Medicine, 14(1), pp.8~18 (2019), 대한마취통증의학회[DOI]
- Charlson M, "Validation of a combined comorbidity index", J Clin Epidemiol, 47, pp.1245~1251 (1994)
- Moppett IK, "Nottingham Hip Fracture Score : longitudinal and multiassessment", Br J Anaesth, 109, pp.546~550 (2012)
- Nijmeijer WS, "Prediction of early mortality fol-lowing hip fracture surgery in frail elderly : the Almelo Hip Fracture Score(AHFS)", Injury, 47, pp.2138~2143 (2016)
- Dodd AC, "Predictors of 30-day mortality following hip", pelvis fractures, 2016, pp.102, 707~710
- 김병훈, "Risk factors associated with outcomes of hip fracture surgery in elderly patients", Korean Journal of Anesthesiology, 68(6), pp.561~567 (2015), 대한마취통증의학회
- Johnson AE, "MIMIC-III, a freely ac-cessible critical care database", Sci Data, 3, pp.160035~ (2016)
- Maxwell MJ, "Development and validation of a preoperative scoring sys-tem to predict 30 day mortality in patients undergoing hip fracture surgery", Br J Anaesth, 101, pp.511~517 (2008)
- Elixhauser A, "Comorbidity measures for use with administra-tive data", Med Care, 36, pp.8~27 (1998)
- Wiles MD, "Nottingham Hip Fracture Score as a predictor of one year mortality in patients undergoing surgical repair of fractured neck of femur", Br J Anaesth, 106, pp.501~504 (2011)
- Charlson ME, "A new method of classifying prognostic comor-bidity in longitudinal studies : development and validation", J Chronic Dis, 40, pp.373~383 (1987)
- Rozzini R, "Geriatric Index of Comorbidity : validation and comparison with other measures of comorbidity", Age Ageing, 31, pp.277~285 (2002)
- Marufu TC, "Prediction of 30-day mortality after hip fracture surgery by the Nottingham Hip Fracture Score and the Surgical Outcome Risk Tool", Anaesthesia, 71, pp.515~521 (2016)
- Menendez ME, "The Elixhauser comorbidity method outper-forms the Charlson index in predicting inpatient death after orthopaedic surgery", Clin Orthop Relat Res, 472, pp.2878~2886 (2014)
