Frailty Indices Outperform Historic Risk Proxies as Predictors of Postabdominoplasty Complications: An Analysis of a National Database.
Abstract
[BACKGROUND] Although age, body mass index (BMI), and major comorbidities were historically used as predictors of surgical risk, recent literature supports patient frailty as a more accurate predictor. Database studies and chart reviews support the modified Charlson Comorbidity Index (mCCI) and the Modified Five-Item Frailty Index (mFI-5) as predictors of postsurgical complications in plastic surgery. The authors hypothesized that the mFI-5 and mCCI are more predictive of abdominoplasty complications than historic risk proxies.
[METHODS] A retrospective review of the American College of Surgeons National Surgical Quality Improvement Program database was performed for abdominoplasty patients from 2013 to 2019. Demographics, comorbidities, and complications were gathered. The mFI-5 and mCCI scores were calculated per patient. Age, BMI, major comorbidities, American Society of Anesthesiologists class, mFI-5 score, and mCCI score were compared as predictors of all-cause 30-day complications, 30-day surgical-site complications, length of stay, and aggregate Clavien-Dindo complication severity score.
[RESULTS] Of 421 patients, the strongest predictors for all-cause complications and complication severity were mCCI score greater than or equal to 3 and mFI-5 score greater than or equal to 2. The mFI-5 score was the strongest predictor of unplanned reoperation. Length of stay was best predicted by age greater than or equal to 65. The only predictor of surgical-site complications was BMI greater than or equal to 30.0 kg/m 2 . Smoking was predictive of complication severity, but not any other outcome.
[CONCLUSIONS] The mFI-5 and mCCI are stronger outcome predictors than historically used factors, which showed little predictive value in this cohort. Although the mCCI is a stronger predictor than the mFI-5, the mFI-5 is easily calculated during an initial consultation. Surgeons can apply these tools to aid in risk stratification for abdominoplasty.
[CLINICAL QUESTION/LEVEL OF EVIDENCE] Risk, III.
[METHODS] A retrospective review of the American College of Surgeons National Surgical Quality Improvement Program database was performed for abdominoplasty patients from 2013 to 2019. Demographics, comorbidities, and complications were gathered. The mFI-5 and mCCI scores were calculated per patient. Age, BMI, major comorbidities, American Society of Anesthesiologists class, mFI-5 score, and mCCI score were compared as predictors of all-cause 30-day complications, 30-day surgical-site complications, length of stay, and aggregate Clavien-Dindo complication severity score.
[RESULTS] Of 421 patients, the strongest predictors for all-cause complications and complication severity were mCCI score greater than or equal to 3 and mFI-5 score greater than or equal to 2. The mFI-5 score was the strongest predictor of unplanned reoperation. Length of stay was best predicted by age greater than or equal to 65. The only predictor of surgical-site complications was BMI greater than or equal to 30.0 kg/m 2 . Smoking was predictive of complication severity, but not any other outcome.
[CONCLUSIONS] The mFI-5 and mCCI are stronger outcome predictors than historically used factors, which showed little predictive value in this cohort. Although the mCCI is a stronger predictor than the mFI-5, the mFI-5 is easily calculated during an initial consultation. Surgeons can apply these tools to aid in risk stratification for abdominoplasty.
[CLINICAL QUESTION/LEVEL OF EVIDENCE] Risk, III.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 시술 | abdominoplasty
|
복부성형술 | dict | 3 | |
| 약물 | [BACKGROUND]
|
scispacy | 1 | ||
| 약물 | [CONCLUSIONS]
|
scispacy | 1 | ||
| 질환 | Frailty
|
C0424594
Frailty
|
scispacy | 1 | |
| 질환 | Comorbidity
|
C0009488
Comorbidity
|
scispacy | 1 | |
| 질환 | surgical-site
|
scispacy | 1 | ||
| 기타 | patient
|
scispacy | 1 | ||
| 기타 | patients
|
scispacy | 1 |
MeSH Terms
Humans; Frailty; Postoperative Complications; Comorbidity; Quality Improvement; Reoperation; Retrospective Studies; Risk Factors; Risk Assessment
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